Last data update: Apr 29, 2024. (Total: 46658 publications since 2009)
Records 1-30 (of 44 Records) |
Query Trace: Akelo V[original query] |
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Identifying delays in healthcare seeking and provision: The Three Delays-in-Healthcare and mortality among infants and children aged 1-59 months
Garcia Gomez E , Igunza KA , Madewell ZJ , Akelo V , Onyango D , El Arifeen S , Gurley ES , Hossain MZ , Chowdhury MAI , Islam KM , Assefa N , Scott JAG , Madrid L , Tilahun Y , Orlien S , Kotloff KL , Tapia MD , Keita AM , Mehta A , Magaço A , Torres-Fernandez D , Nhacolo A , Bassat Q , Mandomando I , Ogbuanu I , Cain CJ , Luke R , Kamara SIB , Legesse H , Madhi S , Dangor Z , Mahtab S , Wise A , Adam Y , Whitney CG , Mutevedzi PC , Blau DM , Breiman RF , Tippett Barr BA , Rees CA . PLOS Glob Public Health 2024 4 (2) e0002494 Delays in illness recognition, healthcare seeking, and in the provision of appropriate clinical care are common in resource-limited settings. Our objective was to determine the frequency of delays in the "Three Delays-in-Healthcare", and factors associated with delays, among deceased infants and children in seven countries with high childhood mortality. We conducted a retrospective, descriptive study using data from verbal autopsies and medical records for infants and children aged 1-59 months who died between December 2016 and February 2022 in six sites in sub-Saharan Africa and one in South Asia (Bangladesh) and were enrolled in Child Health and Mortality Prevention Surveillance (CHAMPS). Delays in 1) illness recognition in the home/decision to seek care, 2) transportation to healthcare facilities, and 3) the receipt of clinical care in healthcare facilities were categorized according to the "Three Delays-in-Healthcare". Comparisons in factors associated with delays were made using Chi-square testing. Information was available for 1,326 deaths among infants and under 5 children. The majority had at least one identified delay (n = 854, 64%). Waiting >72 hours after illness recognition to seek health care (n = 422, 32%) was the most common delay. Challenges in obtaining transportation occurred infrequently when seeking care (n = 51, 4%). In healthcare facilities, prescribed medications were sometimes unavailable (n = 102, 8%). Deceased children aged 12-59 months experienced more delay than infants aged 1-11 months (68% vs. 61%, P = 0.018). Delays in seeking clinical care were common among deceased infants and children. Additional study to assess the frequency of delays in seeking clinical care and its provision among children who survive is warranted. |
Post-mortem investigation of deaths due to pneumonia in children aged 1-59 months in sub-Saharan Africa and South Asia from 2016 to 2022: an observational study
Mahtab S , Blau DM , Madewell ZJ , Ogbuanu I , Ojulong J , Lako S , Legesse H , Bangura JS , Bassat Q , Mandomando I , Xerinda E , Fernandes F , Varo R , Sow SO , Kotloff KL , Tapia MD , Keita AM , Sidibe D , Onyango D , Akelo V , Gethi D , Verani JR , Revathi G , Scott JAG , Assefa N , Madrid L , Bizuayehu H , Tirfe TT , El Arifeen S , Gurley ES , Islam KM , Alam M , Zahid Hossain M , Dangor Z , Baillie VL , Hale M , Mutevedzi P , Breiman RF , Whitney CG , Madhi SA . Lancet Child Adolesc Health 2024 BACKGROUND: The Child Health and Mortality Prevention Surveillance (CHAMPS) Network programme undertakes post-mortem minimally invasive tissue sampling (MITS), together with collection of ante-mortem clinical information, to investigate causes of childhood deaths across multiple countries. We aimed to evaluate the overall contribution of pneumonia in the causal pathway to death and the causative pathogens of fatal pneumonia in children aged 1-59 months enrolled in the CHAMPS Network. METHODS: In this observational study we analysed deaths occurring between Dec 16, 2016, and Dec 31, 2022, in the CHAMPS Network across six countries in sub-Saharan Africa (Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa) and one in South Asia (Bangladesh). A standardised approach of MITS was undertaken on decedents within 24-72 h of death. Diagnostic tests included blood culture, multi-organism targeted nucleic acid amplifications tests (NAATs) of blood and lung tissue, and histopathology examination of various organ tissue samples. An interdisciplinary expert panel at each site reviewed case data to attribute the cause of death and pathogenesis thereof on the basis of WHO-recommended reporting standards. FINDINGS: Pneumonia was attributed in the causal pathway of death in 455 (40·6%) of 1120 decedents, with a median age at death of 9 (IQR 4-19) months. Causative pathogens were identified in 377 (82·9%) of 455 pneumonia deaths, and multiple pathogens were implicated in 218 (57·8%) of 377 deaths. 306 (67·3%) of 455 deaths occurred in the community or within 72 h of hospital admission (presumed to be community-acquired pneumonia), with the leading bacterial pathogens being Streptococcus pneumoniae (108 [35·3%]), Klebsiella pneumoniae (78 [25·5%]), and non-typeable Haemophilus influenzae (37 [12·1%]). 149 (32·7%) deaths occurred 72 h or more after hospital admission (presumed to be hospital-acquired pneumonia), with the most common pathogens being K pneumoniae (64 [43·0%]), Acinetobacter baumannii (19 [12·8%]), S pneumoniae (15 [10·1%]), and Pseudomonas aeruginosa (15 [10·1%]). Overall, viruses were implicated in 145 (31·9%) of 455 pneumonia-related deaths, including 54 (11·9%) of 455 attributed to cytomegalovirus and 29 (6·4%) of 455 attributed to respiratory syncytial virus. INTERPRETATION: Pneumonia contributed to 40·6% of all childhood deaths in this analysis. The use of post-mortem MITS enabled biological ascertainment of the cause of death in the majority (82·9%) of childhood deaths attributed to pneumonia, with more than one pathogen being commonly implicated in the same case. The prominent role of K pneumoniae, non-typable H influenzae, and S pneumoniae highlight the need to review empirical management guidelines for management of very severe pneumonia in low-income and middle-income settings, and the need for research into new or improved vaccines against these pathogens. FUNDING: Bill & Melinda Gates Foundation. |
Burden of child mortality from malaria in high endemic areas: results from the CHAMPS Network using minimally invasive tissue sampling
Ogbuanu IU , Otieno K , Varo R , Sow SO , Ojulong J , Duduyemi B , Kowuor D , Cain CJ , Rogena EA , Onyango D , Akelo V , Tippett Barr BA , terKuile F , Kotloff KL , Tapia MD , Keita AM , Juma J , Assefa N , Assegid N , Acham Y , Madrid L , Scott JAG , Arifeen SE , Gurley ES , Mahtab S , Dangor Z , Wadula J , Dutoit J , Madhi SA , Mandomando I , Torres-Fernandez D , Kincardett M , Mabunda R , Mutevedzi P , Madewell ZJ , Blau DM , Whitney CG , Samuels AM , Bassat Q . J Infect 2024 BACKGROUND: Malaria is a leading cause of childhood mortality worldwide. However, accurate estimates of malaria prevalence and causality among patients who die at the country level are lacking due to the limited specificity of diagnostic tools used to attribute etiologies. Accurate estimates are crucial for prioritizing interventions and resources aimed at reducing malaria-related mortality. METHODS: Seven Child Health and Mortality Prevention Surveillance (CHAMPS) Network sites collected comprehensive data on stillbirths and children <5 years, using minimally invasive tissue sampling (MITS). A DeCoDe (Determination of Cause of Death) panel employed standardized protocols for assigning underlying, intermediate, and immediate causes of death, integrating sociodemographic, clinical, laboratory (including extensive microbiology, histopathology, and malaria testing), and verbal autopsy data. Analyses were conducted to ascertain the strength of evidence for cause of death (CoD), describe factors associated with malaria-related deaths, estimate malaria-specific mortality, and assess the proportion of preventable deaths. FINDINGS: Between December 3, 2016, and December 31, 2022, 2673 deaths underwent MITS and had a CoD attributed from four CHAMPS sites with at least 1 malaria-attributed death. No malaria-attributable deaths were documented among 891 stillbirths or 924 neonatal deaths, therefore this analysis concentrates on the remaining 858 deaths among children aged 1-59 months. Malaria was in the causal chain for 42.9% (126/294) of deaths from Sierra Leone, 31.4% (96/306) in Kenya, 18.2% (36/198) in Mozambique, 6.7% (4/60) in Mali, and 0.3% (1/292) in South Africa. Compared to non-malaria related deaths, malaria-related deaths skewed towards older infants and children (p<0.001), with 71.0% among ages 12-59 months. Malaria was the sole infecting pathogen in 184 (70.2%) of malaria-attributed deaths, whereas bacterial and viral co-infections were identified in the causal pathway in 24·0% and 12.2% of cases, respectively. Malnutrition was found at a similar level in the causal pathway of both malaria (26.7%) and non-malaria (30.7%, p=0.256) deaths. Less than two-thirds (164/262; 62.6%) of malaria deaths had received antimalarials prior to death. Nearly all (98·9%) malaria-related deaths were deemed preventable. INTERPRETATION: Malaria remains a significant cause of childhood mortality in the CHAMPS malaria-endemic sites. The high bacterial co-infection prevalence among malaria deaths underscores the potential benefits of antibiotics for severe malaria patients. Compared to non-malaria deaths, many of malaria-attributed deaths are preventable through accessible malaria control measures. FUNDING: This work was supported by the Bill & Melinda Gates Foundation [OPP1126780]. |
Child deaths caused by Klebsiella pneumoniae in sub-Saharan Africa and south Asia: a secondary analysis of Child Health and Mortality Prevention Surveillance (CHAMPS) data
Verani JR , Blau DM , Gurley ES , Akelo V , Assefa N , Baillie V , Bassat Q , Berhane M , Bunn J , Cossa ACA , El Arifeen S , Gunturu R , Hale M , Igunza A , Keita AM , Kenneh S , Kotloff KL , Kowuor D , Mabunda R , Madewell ZJ , Madhi S , Madrid L , Mahtab S , Miguel J , Murila FV , Ogbuanu IU , Ojulong J , Onyango D , Oundo JO , Scott JAG , Sow S , Tapia M , Traore CB , Velaphi S , Whitney CG , Mandomando I , Breiman RF . Lancet Microbe 2024 BACKGROUND: Klebsiella pneumoniae is an important cause of nosocomial and community-acquired pneumonia and sepsis in children, and antibiotic-resistant K pneumoniae is a growing public health threat. We aimed to characterise child mortality associated with this pathogen in seven high-mortality settings. METHODS: We analysed Child Health and Mortality Prevention Surveillance (CHAMPS) data on the causes of deaths in children younger than 5 years and stillbirths in sites located in seven countries across sub-Saharan Africa (Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa) and south Asia (Bangladesh) from Dec 9, 2016, to Dec 31, 2021. CHAMPS sites conduct active surveillance for deaths in catchment populations and following reporting of an eligible death or stillbirth seek consent for minimally invasive tissue sampling followed by extensive aetiological testing (microbiological, molecular, and pathological); cases are reviewed by expert panels to assign immediate, intermediate, and underlying causes of death. We reported on susceptibility to antibiotics for which at least 30 isolates had been tested, and excluded data on antibiotics for which susceptibility testing is not recommended for Klebsiella spp due to lack of clinical activity (eg, penicillin and ampicillin). FINDINGS: Among 2352 child deaths with cause of death assigned, 497 (21%, 95% CI 20-23) had K pneumoniae in the causal chain of death; 100 (20%, 17-24) had K pneumoniae as the underlying cause. The frequency of K pneumoniae in the causal chain was highest in children aged 1-11 months (30%, 95% CI 26-34; 144 of 485 deaths) and 12-23 months (28%, 22-34; 63 of 225 deaths); frequency by site ranged from 6% (95% CI 3-11; 11 of 184 deaths) in Bangladesh to 52% (44-61; 71 of 136 deaths) in Ethiopia. K pneumoniae was in the causal chain for 450 (22%, 95% CI 20-24) of 2023 deaths that occurred in health facilities and 47 (14%, 11-19) of 329 deaths in the community. The most common clinical syndromes among deaths with K pneumoniae in the causal chain were sepsis (44%, 95% CI 40-49; 221 of 2352 deaths), sepsis in conjunction with pneumonia (19%, 16-23; 94 of 2352 deaths), and pneumonia (16%, 13-20; 80 of 2352 deaths). Among K pneumoniae isolates tested, 121 (84%) of 144 were resistant to ceftriaxone and 80 (75%) of 106 to gentamicin. INTERPRETATION: K pneumoniae substantially contributed to deaths in the first 2 years of life across multiple high-mortality settings, and resistance to antibiotics used for sepsis treatment was common. Improved strategies are needed to rapidly identify and appropriately treat children who might be infected with this pathogen. These data suggest a potential impact of developing and using effective K pneumoniae vaccines in reducing neonatal, infant, and child deaths globally. FUNDING: Bill & Melinda Gates Foundation. |
Prevalence and missed cases of respiratory distress syndrome disease amongst neonatal deaths enrolled in the Kenya Child Health and Mortality Prevention Surveillance Network (CHAMPS) Program Between 2017 and 2021
Owuor HO , Akelo V , Murila F , Onyango D , Kuria M , Rogena E , Revathi G , Mitei P , Sava S , Were J , Igunza A , Khagayi S , Zielinski-Gutierrez E , Hawi S , Gethi D , Verani JR , Onyango C , Blau DM , Tippett Barr BA . Glob Pediatr Health 2023 10 2333794x231212819 Objectives. To describe RDS in neonatal deaths at the CHAMPS-Kenya site between 2017 and 2021. Methods. We included 165 neonatal deaths whose their Causes of death (COD) were determined by a panel of experts using data from post-mortem conducted through minimally invasive tissue specimen testing, clinical records, and verbal autopsy. Results. Twenty-six percent (43/165) of neonatal deaths were attributable to RDS. Most cases occurred in low birthweight and preterm neonates. From these cases, less than half of the hospitalizations were diagnosed with RDS before death, and essential diagnostic tests were not performed in most cases. Most cases received suboptimal levels of supplemental oxygen, and critical interventions like surfactant replacement therapy and mechanical ventilation were not adequately utilized when available. Conclusion. The study highlights the urgent need for improved diagnosis and management of RDS, emphasizing the importance of increasing clinical suspicion and enhancing training in its clinical management to reduce mortality rates. |
Evaluation of SaTo pans as a new latrine technology in Kisumu County healthcare facilities, Kenya
Prentice-Mott G , Odhiambo A , Conners EE , Mwaki A , Blackstock AJ , Oremo J , Akelo O , Eleveld A , Quick R , Murphy J , Berendes DM . Trop Med Int Health 2023 28 (12) 881-889 OBJECTIVES: Innovations to improve public sanitation facilities, especially in healthcare facilities (HCFs) in low-income countries, are limited. SaTo pans represent novel, largely untested, modifications to reduce odour and flies and improve acceptability of HCF sanitation facilities. We conducted a pilot project to evaluate acceptability, cleanliness, flies and odour within latrines in 37 HCFs in Kisumu, Kenya, randomised into intervention (SaTo pan modifications) and control arms by sub-county and HCF level. METHODS: At baseline (pre-intervention) and endline (>3 months after completion of SaTo pan installations in latrines in intervention HCFs), we surveyed users, cleaners and in-charges, observed odour and cleanliness, and assessed flies using fly tape. Unadjusted difference-in-difference analysis compared changes from baseline to endline in patient-reported acceptability and observed latrine conditions between intervention and control HCFs. A secondary assessment compared patient-reported acceptability following use of SaTo pan versus non-SaTo pan latrines within intervention HCFs. RESULTS: Patient-reported acceptability of latrines was higher following the intervention (baseline: 87%, endline: 96%, p = 0.05). However, patient-reported acceptability was also high in the control arm (79%, 86%, p = 0.34), and the between-arm difference-in-difference was not significant. Enumerator-observed odour declined in intervention latrines (32%-14%) compared with controls (36%-51%, difference-in-difference ratio: 0.32, 95% confidence interval: 0.12-0.84), but changes in flies, puddling of urine and visible faeces did not differ between arms. In the secondary assessment, fewer intervention than control latrines had patient-reported flies (0% vs. 26%) and odour (18% vs. 50%), and reported satisfaction was greater. Most cleaners reported dropholes and floors were easier to clean in intervention versus controls; limited challenges with water for flushing were reported. CONCLUSIONS: Our results suggest SaTo pans may be acceptable by cleaners and users and reduce odour in HCF sanitation facilities, though challenges exist and further evaluation with larger sample sizes is needed. |
Hepatic vitamin A concentrations and association with infectious causes of child death
Gupta PM , Madewell ZJ , Gannon BM , Grahn M , Akelo V , Onyango D , Mahtab S , Madhi SA , Giri J , Blau DM , Ramakrishnan U , Stein AD , Whitney CG , Young MF , Tanumihardjo SA , Suchdev PS . J Pediatr 2023 265 113816 OBJECTIVES: To assess postmortem vitamin A (VA) concentrations in children under 5 years of age and evaluate the association between vitamin A deficiency (VAD) and infectious causes of death (CoD). STUDY DESIGN: In this cross-sectional study from the Child Health and Mortality Prevention Surveillance (CHAMPS) Network, liver biopsies collected within 72 hours of death were analyzed from 405 stillbirths and children under 5 years in Kenya and South Africa. Total liver vitamin A (VA) concentrations were quantified using ultra-performance liquid chromatography, and cutoffs of ≤0.1 μmol/g, >0.1 to <0.7 μmol/g, ≥0.7 to <1.0 μmol/g, and ≥1.0 μmol/g were used to define VAD, adequate VA status, high VA, and hypervitaminosis A, respectively. Causes of death (CoD) were determined by expert panel review. RESULTS: Among 366 liver samples with viable extraction, pooled prevalences of VAD, adequacy, high VA, and hypervitaminosis were 34.2%, 51.1%, 6.0%, and 8.7%, respectively. VAD was more common among neonates compared with stillbirths, infants, or children, and among those with low birthweight, underweight, or stunting (p<0.05). When adjusting for site, age, and sex, there was no significant association of VAD with increased infectious CoD (OR 1.9, 95%CI 0.9, 3.8, p=0.073). In stratified analyses, VA deficient boys, but not girls, had an increased risk of infectious CoD (OR 3.4, 95%CI 1.3, 10.3, p=0.013). CONCLUSIONS: Definitive post-mortem assessment of VA status identified both VAD and VA excess among children under 5 years of age in Kenya and South Africa. VAD in boys was associated with increased risk of infectious mortality. Our findings may inform a transition from universal VA supplementation to targeted strategies in certain countries. |
Impact of anthropometry training and feasibility of 3D imaging on anthropometry data quality among children under five years in a postmortem setting
Gupta PM , Sivalogan K , Oliech R , Alexander E , Klein J , Addo OY , Gethi D , Akelo V , Blau DM , Suchdev PS . PLoS One 2023 18 (9) e0292046 BACKGROUND: The Child Health and Mortality Prevention Surveillance Network (CHAMPS) identifies causes of under-5 mortality in high mortality countries. OBJECTIVE: To address challenges in postmortem nutritional assessment, we evaluated the impact of anthropometry training and the feasibility of 3D imaging on data quality within the CHAMPS Kenya site. DESIGN: Staff were trained using World Health Organization (WHO)-recommended manual anthropometry equipment and novel 3D imaging methods to collect postmortem measurements. Following training, 76 deceased children were measured in duplicate and were compared to measurements of 75 pre-training deceased children. Outcomes included measures of data quality (standard deviations of anthropometric indices and digit preference scores (DPS)), precision (absolute and relative technical errors of measurement, TEMs or rTEMs), and accuracy (Bland-Altman plots). WHO growth standards were used to produce anthropometric indices. Post-training surveys and in-depth interviews collected qualitative feedback on measurer experience with performing manual anthropometry and ease of using 3D imaging software. RESULTS: Manual anthropometry data quality improved after training, as indicated by DPS. Standard deviations of anthropometric indices exceeded limits for high data quality when using the WHO growth standards. Reliability of measurements post-training was high as indicated by rTEMs below 1.5%. 3D imaging was highly correlated with manual measurements; however, on average 3D scans overestimated length and head circumference by 1.61 cm and 2.27 cm, respectively. Site staff preferred manual anthropometry to 3D imaging, as the imaging technology required adequate lighting and additional considerations when performing the measurements. CONCLUSIONS: Manual anthropometry was feasible and reliable postmortem in the presence of rigor mortis. 3D imaging may be an accurate alternative to manual anthropometry, but technology adjustments are needed to ensure accuracy and usability. |
Acceptability of minimally invasive autopsy by community members and healthcare workers in Siaya and Kisumu counties, western Kenya, 2017-2018
Otieno P , Akelo V , Khagayi S , Omore R , Akoth K , Nyanjom M , Ngere S , Ochola K , Maixenchs M , Kone A , Blevins J , Zielinski-Gutierrez E , Barr BAT . PLOS Glob Public Health 2023 3 (9) e0001319 Worldwide, nearly six million children under the age of five (<5s) die annually, a substantial proportion of which are due to preventable and treatable diseases. Efforts to reduce child mortality indicators in the most affected regions are often undermined by a lack of accurate cause of death data. To generate timely and more accurate causes of death data for <5s, the Child Health and Mortality Prevention Surveillance (CHAMPS) Network established mortality surveillance in multiple countries using Minimally Invasive Tissue Sampling (MITS) in <5 deaths. Here we present acceptability of MITS by community members and healthcare workers in Siaya and Kisumu counties, western Kenya. From April 2017 to February 2018, we conducted 40 in-depth interviews and five focus group discussions with healthcare workers and community members, before and during CHAMPS implementation. Participants were purposively selected. Field observations to understand traditional death-related practices were also performed. Interviews were transcribed into Nvivo 11.0 for data organization and management. Analysis was guided by the grounded theory approach. Facilitators of acceptability were desire to understand why death occurred, timely performance of MITS procedures, potential for MITS results in improving clinical practice and specific assistance provided to families by the CHAMPS program. However, cultural and religious beliefs highlighted important challenges to acceptability, including CHAMPS teams recruiting after a child's death, rumours and myths, unmet expectations from families, and fear by healthcare workers that some families could use MITS results to sue for negligence. Increasing MITS uptake requires sustained strategies to strengthen the identified facilitators of acceptability and simultaneously address the barriers. MITS acceptance will contribute to better characterization of causes of death and support the development of improved interventions aimed at reducing <5 mortality. |
Provider adherence to clinical care recommendations for infants and children who died in seven low- and middle-income countries in the Child Health and Mortality Prevention Surveillance (CHAMPS) network
Rees CA , Igunza KA , Madewell ZJ , Akelo V , Onyango D , El Arifeen S , Gurley ES , Hossain MZ , Rahman A , Alam M , Scott JAG , Assefa N , Madrid L , Belachew A , Leulseged H , Kotloff KL , Sow SO , Tapia MD , Keita AM , Sidibe D , Sitoe A , Varo R , Ajanovic S , Bassat Q , Mandomando I , Tippett Barr BA , Ogbuanu I , Cain CJ , Bassey IA , Luke R , Gassama K , Madhi S , Dangor Z , Mahtab S , Velaphi S , du Toit J , Mutevedzi PC , Blau DM , Breiman RF , Whitney CG . EClinicalMedicine 2023 63 102198 BACKGROUND: Most childhood deaths globally are considered preventable through high-quality clinical care, which includes adherence to clinical care recommendations. Our objective was to describe adherence to World Health Organization recommendations for the management of leading causes of death among children. METHODS: We conducted a retrospective, descriptive study examining clinical data for children aged 1-59 months who were hospitalized and died in a Child Health and Mortality Prevention Surveillance (CHAMPS) catchment, December 2016-June 2021. Catchment areas included: Baliakandi and Faridpur, Bangladesh; Kersa, Haramaya, and Harar, Ethiopia; Kisumu and Siaya, Kenya; Bamako, Mali; Manhiça and Quelimane, Mozambique; Makeni, Sierra Leone; Soweto, South Africa. We reviewed medical records of those who died from lower respiratory tract infections, sepsis, malnutrition, malaria, and diarrheal diseases to determine the proportion who received recommended treatments and compared adherence by hospitalization duration. FINDINGS: CHAMPS enrolled 460 hospitalized children who died from the leading causes (median age 12 months, 53.0% male). Median hospital admission was 31 h. There were 51.0% (n = 127/249) of children who died from lower respiratory tract infections received supplemental oxygen. Administration of intravenous fluids for sepsis (15.9%, n = 36/226) and supplemental feeds for malnutrition (14.0%, n = 18/129) were uncommon. There were 51.4% (n = 55/107) of those who died from malaria received antimalarials. Of the 80 children who died from diarrheal diseases, 76.2% received intravenous fluids. Those admitted for ≥24 h more commonly received antibiotics for lower respiratory tract infections and sepsis, supplemental feeds for malnutrition, and intravenous fluids for sepsis than those admitted <24 h. INTERPRETATION: Provision of recommended clinical care for leading causes of death among young children was suboptimal. Further studies are needed to understand the reasons for deficits in clinical care recommendation adherence. FUNDING: Bill & Melinda Gates Foundation. |
Stillbirths and neonatal deaths caused by group B streptococcus in Africa and South Asia identified through Child Health and Mortality Prevention Surveillance (CHAMPS)
Mahtab S , Madewell ZJ , Madhi SA , Wise A , Swart PJ , Velaphi S , Mandomando I , Bramugy J , Mabunda R , Xerinda E , Scott AG , Assefa N , Madrid L , Bweihun M , Temesgen F , Onyango D , Akelo V , Oliech R , Otieno P , Verani JR , Arifeen SE , Gurley ES , Alam M , Rahman A , Hossain MZ , Sow S , Kotloff K , Tapia M , Keita AM , Sanogo D , Ogbuanu I , Ojulong J , Lako S , Ita O , Kaluma E , Wilson T , Mutevedzi P , Barr BAT , Whitney CG , Blau DM , Bassat Q . Open Forum Infect Dis 2023 10 (9) ofad356 BACKGROUND: Invasive Group B Streptococcus (GBS) is a common cause of early-onset neonatal sepsis and is also associated with stillbirth. This study aimed to determine the proportion of stillborn infants and infants who died between 0 and 90 days attributable to GBS using postmortem minimally invasive tissue sampling (MITS) in 7 low- and middle-income countries (LMICs) participating in Child Health and Mortality Prevention Surveillance (CHAMPS). METHODS: Deaths that occurred between December 2016 and December 2021 were investigated with MITS, including culture for bacteria of blood and cerebrospinal fluid (CSF), multipathogen polymerase chain reaction on blood, CSF, and lung tissue and histopathology of lung, liver, and brain. Data collection included clinical record review and verbal autopsy. Expert panels reviewed all information and assigned causes of death. RESULTS: We evaluated 2966 deaths, including stillborn infants (n = 1322), infants who died during first day of life (0 to <24 hours, n = 597), early neonatal deaths (END) (1 day to <7 days; END; n = 593), and deaths from 7 to 90 days (n = 454). Group B Streptococcus was determined to be in the causal pathway of death for 2.7% of infants (79 of 2, 966; range, 0.3% in Sierra Leone to 7.2% in South Africa), including 2.3% (31 of 1322) of stillbirths, 4.7% (28 of 597) 0 to <24 hours, 1.9% (11 of 593) END, and 2.0% (9 of 454) of deaths from 7 to 90 days of age. Among deaths attributed to GBS with birth weight data available, 61.9% (39 of 63) of decedents weighed <2500 grams at birth. Group B Streptococcus sepsis was the postmortem diagnosis for 100% (31 of 31) of stillbirths. For deaths <90 days, postmortem diagnoses included GBS sepsis (83.3%, 40 of 48), GBS meningitis (4.2%, 2 of 48), and GBS pneumonia (2.1%, 1 of 48). CONCLUSIONS: Our study reveals significant heterogeneity in the contribution of invasive GBS disease to infant mortality across different countries, emphasizing the need for tailored prevention strategies. Moreover, our findings highlight the substantial impact of GBS on stillbirths, shedding light on a previously underestimated aspect in LMICs. |
Prediction of postpartum hemorrhage (PPH) using machine learning algorithms in a Kenyan population
Shah SY , Saxena S , Rani SP , Nelaturi N , Gill S , Tippett Barr B , Were J , Khagayi S , Ouma G , Akelo V , Norwitz ER , Ramakrishnan R , Onyango D , Teltumbade M . Front Glob Womens Health 2023 4 1161157 INTRODUCTION: Postpartum hemorrhage (PPH) is a significant cause of maternal mortality worldwide, particularly in low- and middle-income countries. It is essential to develop effective prediction models to identify women at risk of PPH and implement appropriate interventions to reduce maternal morbidity and mortality. This study aims to predict the occurrence of postpartum hemorrhage using machine learning models based on antenatal, intrapartum, and postnatal visit data obtained from the Kenya Antenatal and Postnatal Care Research Collective cohort. METHOD: Four machine learning models - logistic regression, naïve Bayes, decision tree, and random forest - were constructed using 67% training data (1,056/1,576). The training data was further split into 67% for model building and 33% cross validation. Once the models are built, the remaining 33% (520/1,576) independent test data was used for external validation to confirm the models' performance. Models were fine-tuned using feature selection through extra tree classifier technique. Model performance was assessed using accuracy, sensitivity, and area under the curve (AUC) of the receiver operating characteristics (ROC) curve. RESULT: The naïve Bayes model performed best with 0.95 accuracy, 0.97 specificity, and 0.76 AUC. Seven factors (anemia, limited prenatal care, hemoglobin concentrations, signs of pallor at intrapartum, intrapartum systolic blood pressure, intrapartum diastolic blood pressure, and intrapartum respiratory rate) were associated with PPH prediction in Kenyan population. DISCUSSION: This study demonstrates the potential of machine learning models in predicting PPH in the Kenyan population. Future studies with larger datasets and more PPH cases should be conducted to improve prediction performance of machine learning model. Such prediction algorithms would immensely help to construct a personalized obstetric path for each pregnant patient, improve resource allocation, and reduce maternal mortality and morbidity. |
Vaccine safety surveillance in Kenya using GAIA standards: A feasibility assessment of existing national and subnational research and program systems
Izulla P , Wagai JN , Akelo V , Ombeva A , Okeri E , Onyango D , Omore R , Fuller S , Khagayi S , Were J , Anderson SA , Wong HL , Tippett Barr BA . Vaccine 2023 41 (39) 5722-5729 BACKGROUND: Active surveillance systems for monitoring vaccine safety among pregnant women address some of the limitations of a current passive surveillance approach utilized in low- and middle-income countries (LMIC). However, few active surveillance systems in LMIC exist. Our study assessed the feasibility of utilizing three existing data collection systems in Kenya for active surveillance of maternal immunization and to assess the applicability of Global Alignment of Immunization Safety Assessment in pregnancy (GAIA) case definitions that were initially developed for clinical trials within these systems. METHODS: We assessed applicability of GAIA case definition for maternal Tetanus Toxoid exposure, stillbirth, low birth weight, small for gestational age, Neonatal Invasive Blood Stream Infection (NIBSI), prematurity and neonatal death in two routine web-based health information systems (Kenya EMR and DHIS-2), and a web-based population-based pregnancy research platform (ANCOV(1)) in Kenya. RESULTS: All three HIS were capable of reporting selected outcomes to varying degrees of GAIA certainty. The ANCOV platform was the most robust in collecting and collating clinical data for effective maternal pharmacovigilance. The utilization of facility- and district-aggregated data limits the usefulness of DHIS-2 in pharmacovigilance as currently operationalized. While the Kenya EMR contained individual level data and meets the key considerations for effective pharmacovigilance, it was used primarily for HIV care and treatment records in a small proportion of health facilities and would require additional resources to expand to all antenatal care facilities and to link maternal and infant records. DISCUSSION: Population-based research studies may offer a responsive short-term option for implementing maternal vaccine pharmacovigilance in LMICs. However, the foundation exists for long-term capacity building within the national health electronic data systems to provide this critical service as well as ensure participation of the country in international studies on maternal vaccine safety. |
Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods (preprint)
Smith ER , Oakley E , He S , Zavala R , Ferguson K , Miller L , Grandner GW , Abejirinde IO , Afshar Y , Ahmadzia H , Aldrovandi G , Akelo V , Tippett Barr BA , Bevilacqua E , Brandt JS , Broutet N , Fernández Buhigas I , Carrillo J , Clifton R , Conry J , Cosmi E , Delgado-López C , Divakar H , Driscoll AJ , Favre G , Flaherman V , Gale C , Gil MM , Godwin C , Gottlieb S , Hernandez Bellolio O , Kara E , Khagayi S , Kim CR , Knight M , Kotloff K , Lanzone A , Le Doare K , Lees C , Litman E , Lokken EM , Laurita Longo V , Magee LA , Martinez-Portilla RJ , McClure E , Metz TD , Money D , Mullins E , Nachega JB , Panchaud A , Playle R , Poon LC , Raiten D , Regan L , Rukundo G , Sanin-Blair J , Temmerman M , Thorson A , Thwin S , Tolosa JE , Townson J , Valencia-Prado M , Visentin S , von Dadelszen P , Adams Waldorf K , Whitehead C , Yang H , Thorlund K , Tielsch JM . medRxiv 2022 2020.11.08.20228056 We urgently need answers to basic epidemiological questions regarding SARS-CoV-2 infection in pregnant and postpartum women and its effect on their newborns. While many national registries, health facilities, and research groups are collecting relevant data, we need a collaborative and methodologically rigorous approach to better combine these data and address knowledge gaps, especially those related to rare outcomes. We propose that using a sequential, prospective meta-analysis (PMA) is the best approach to generate data for policy- and practice-oriented guidelines. As the pandemic evolves, additional studies identified retrospectively by the steering committee or through living systematic reviews will be invited to participate in this PMA. Investigators can contribute to the PMA by either submitting individual patient data or running standardized code to generate aggregate data estimates. For the primary analysis, we will pool data using two-stage meta-analysis methods. The meta-analyses will be updated as additional data accrue in each contributing study and as additional studies meet study-specific time or data accrual thresholds for sharing. At the time of publication, investigators of 25 studies, including more than 76,000 pregnancies, in 41 countries had agreed to share data for this analysis. Among the included studies, 12 have a contemporaneous comparison group of pregnancies without COVID-19, and four studies include a comparison group of non-pregnant women of reproductive age with COVID-19. Protocols and updates will be maintained publicly. Results will be shared with key stakeholders, including the World Health Organization (WHO) Maternal, Newborn, Child, and Adolescent Health (MNCAH) Research Working Group. Data contributors will share results with local stakeholders. Scientific publications will be published in open-access journals on an ongoing basis.Competing Interest StatementClare Whitehead declares a a relationship with the following entities, Ferring Pharmaceuticals COVID19 Investigational, Grant, NHMRC Fellowship (salary support). Alice Panchaud declares the following research grants to institution: H2020-Grant (Consortium member of Innovative medicine initiative call 13 topic 9) (ConcePTION), Efficacy and safety studies on Medicines EMA/2017/09/PE/11, Lot 4, WP 2 lead (CONSIGN: Study on impact of COVID-19 infection and medicines in pregnancy), Safety monitoring of COVID-19 vaccines in the EU Reopening of competition no. 20 under a framework contract following procurement procedure EMA/2017/09/PE (Lot 3) 4. Federal Office of Public Health (207000 CHF). (The COVI-Preg registry). Edward Mullins declares a relationship with the following entities National Institute for Health Research (Project grant for PAN COVID study) Deborah Money declares a relationship with the following entities, Canadian Institutes of Health Research (payments to my institution only), Public Health Agency of Canada (payments to my institution only), BC Womens Foundation (payments to my institution only) and is a Member of the COVID-19 Immunity Task Force sponsored by the Canadian government. Torri D. Metz declares a relationship with the following entities, Pfizer (site Principal Investigator for SARS-CoV-2 vaccination in pregnancy study, money paid to institution and member of Medical Advisory Board for SARS-CoV-2 vaccination in pregnancy study, money paid to me), NICHD (subcommittee Chair for the NICHD Maternal-Fetal Medicine Units Network Gestational Research Assessments of COVID-19 (GRAVID) study), and Society for Maternal-Fetal Medicine (board member). Erica Lokken declares a relationship with the following entity, US NIH (paid institution). Karen L. Kotloff declares a relationship with the following entity, Bill and Melinda Gates Foundation. Siran He declares a relationship with the following entity, Bill and Melinda Gates Foundtion (payments made to my institution). Valerie Flaherman declares a relationship with the following entities, Bill and Melinda Gates Foundation (payments to my institution), Yellow Chair Foundati n (payments to my institution), Robert Woods Johnson Foundation (payments to my institution), CDC Foundation, California Health Care Foundation (payments to my institution), Tara Health Foundation (payments to my institution), UCSF Womens Health Center of Excellence (payments to my institution) and California Department of Health Care Services (payments made to my institution). Jose Sanin-Blair declares a relationship with the following entity, Ferring Pharmaceuticals which give a grant ($10,000) for the expenses of RECOGEST trial and is a part of the Columbian Federation of Perinatology Yalda Afshar declares a relationship with the following entities, Bill and Melinda Gates Foundation (payments made to my institution), CDC Foundation (payments made to my institution), Robert Woods Johnson Foundation (payments made to my institution), and UCLA Deans Office COVID-19 research (payments made to my institution). Rebecca Cliffton declares a relationship with the following entity, NIH HD36801 (MFMU Network DCC).Clinical TrialPROSPERO ID: 188955Funding StatementFunded by the Bill & Melinda Gates Foundation grant to Emily Smith (INV-022057) at George Washington University and a grant to Emily Smith via a grant from the Bill & Melinda Gates Foundation to Stephanie Gaw (INV-017035) at University of California San Francisco.Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:This is a protocol paper and thus exempt from ethical approval. Ultimately, the meta-analysis study is exempt from human research ethics approval as the study authors will be synthesizing de-identified or aggregate data.I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesThis is a protocol paper and there is no related data to share. |
Risk of Adverse Maternal and Fetal Outcomes Associated with COVID-19 Variants of Concern: A Sequential Prospective Meta-Analysis (preprint)
Farooq F , Oakley E , Kerchner D , Hee Kim JY , Akelo V , Tippett Barr BA , Bevilacqua E , Bracero N , del Mar Gil M , Delgado-Lopez C , Favre G , Buhigas IF , Hillary Leung HY , Longo VL , Panchaud A , Poon LC , Martinez-Portilla RJ , Valencia-Prado M , Tielsch JM , Smith ER , Omore R , Ouma G , Onyango C , Otieno K , Were ZA , Were J , Maisonneuve E , Poncelet C , de Tejada BM , Quibel T , Monod C , Yu FNY , Kong CW , Lo TK , So PL , Leung WC , Meli F , Bonanni G , Romanzi F , Torcia E , di Ilio C , Aquise A , Rayo MN , Santacruz B , Gonzalez-Gea L , Laiseca S , Ferrer LN , Huertas MM , Rosario GM , Ramos NA , Gonzalez SV . medRxiv 2023 04 Introduction The main objective of this study is to conduct an individual patient data meta-analysis with collaborators from various countries to identify SARS-CoV-2 variants of concern associated with adverse maternal and neonatal outcomes. Methods Eligible studies included registries and single- or multi-site cohort studies that recruited pregnant and recently postpartum women with confirmed COVID-19. Studies must have enrolled at least 25 women within a defined catchment area. Studies also had to have data that overlapped more than a single COVID-19 variant time period. We invited principal investigators already participating in an ongoing sequential, prospective meta-analysis of perinatal COVID-19. Investigators shared individual patient data (IPD) with the technical team for review and analysis. We examined 31 outcomes related to: i) COVID-19 severity (n=5); ii) maternal morbidities including adverse birth outcomes (n=14); iii) fetal and neonatal morbidity and mortality (n=5) and iv) adverse birth outcomes (n=8). SARS-CoV-2 strains that have been identified as variants of concern (VOC) by the WHO were analyzed using the publicly available strain frequency data by Nextstrain.org and strains were classified as dominant when they were more than half of sequences in a given geographic area. We applied a 2-stage IPD meta-analytic framework to generate pooled relative risks, with 95% CI for each dominant variant and outcome pair when there were one or more studies with available data. Results Our data show that the Delta wave, compared to Omicron, was associated with a higher risk of all adverse COVID-19 severity outcomes in pregnancy including risk of hospitalization [RR 4.02 (95% CI 1.10, 14.69), n=1 study], risk of ICU admissions [RR 2.59 (95% CI 1.26, 5.30, n=3 studies], risk of critical care admission [RR 2.52 (95% CI 1.25, 5.08, n=3 studies], risk of needing ventilation [RR 3.96 (95% CI 1.47, 10.71), n=3 studies] and risk of pneumonia [RR 6.73 (95% CI 2.17, 20.90), n=3 studies]. The majority of maternal morbidity and mortality indicators were not at increased risk during any of the COVID-19 variant waves except hemorrhage, any Cesarean section, intrapartum Cesarean section and maternal composite outcome, although data was limited. Risk of fetal and neonatal morbidity and mortality did not show significant increases in risks during any of the COVID-19 waves except stillbirth and perinatal death during the Delta wave ([RR 4.84 (95% CI 1.37, 17.05, n=3 studies], [RR 6.03 (95%CI 1.63, 22.34), n=3 studies], respectively) when compared to the Pre-alpha wave. Adverse birth outcomes including very low birthweight and very preterm birth also showed increased risks during the Delta wave compared to the Pre-alpha wave. Discussion During periods of Delta strain predominance, all COVID-19 severity outcomes were more severe among pregnant women, compared to periods when other COVID-19 strains predominated. In addition, there are limited data comparing the impact of different variants on pregnancy outcomes. This highlights the importance of ongoing genomic surveillance among special populations. Copyright The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. |
Causes of death among infants and children in the Child Health and Mortality Prevention Surveillance (CHAMPS) Network
Bassat Q , Blau DM , Ogbuanu IU , Samura S , Kaluma E , Bassey IA , Sow S , Keita AM , Tapia MD , Mehta A , Kotloff KL , Rahman A , Islam KM , Alam M , El Arifeen S , Gurley ES , Baillie V , Mutevedzi P , Mahtab S , Thwala BN , Tippett Barr BA , Onyango D , Akelo V , Rogena E , Onyango P , Omore R , Mandomando I , Ajanovic S , Varo R , Sitoe A , Duran-Frigola M , Assefa N , Scott JAG , Madrid L , Tesfaye T , Dessie Y , Madewell ZJ , Breiman RF , Whitney CG , Madhi SA . JAMA Netw Open 2023 6 (7) e2322494 IMPORTANCE: The number of deaths of children younger than 5 years has been steadily decreasing worldwide, from more than 17 million annual deaths in the 1970s to an estimated 5.3 million in 2019 (with 2.8 million deaths occurring in those aged 1-59 months [53% of all deaths in children aged <5 years]). More detailed characterization of childhood deaths could inform interventions to improve child survival. OBJECTIVE: To describe causes of postneonatal child deaths across 7 mortality surveillance sentinel sites in Africa and Asia. DESIGN, SETTING, AND PARTICIPANTS: The Child Health and Mortality Prevention Surveillance (CHAMPS) Network conducts childhood mortality surveillance in sub-Saharan Africa and South Asia using innovative postmortem minimally invasive tissue sampling (MITS). In this cross-sectional study, MITS was conducted in deceased children aged 1 to 59 months at 7 sites in sub-Saharan Africa and South Asia from December 3, 2016, to December 3, 2020. Data analysis was conducted between October and November 2021. MAIN OUTCOMES AND MEASURES: The expert panel attributed underlying, intermediate, and immediate conditions in the chain of events leading to death, based on histopathologic analysis, microbiological diagnostics, clinical data, and verbal autopsies. RESULTS: In this study, MITS was performed in 632 deceased children (mean [SD] age at death, 1.3 [0.3] years; 342 [54.1%] male). The 6 most common underlying causes of death were malnutrition (104 [16.5%]), HIV (75 [11.9%]), malaria (71 [11.2%]), congenital birth defects (64 [10.1%]), lower respiratory tract infections (LRTIs; 53 [8.4%]), and diarrheal diseases (46 [7.2%]). When considering immediate causes only, sepsis (191 [36.7%]) and LRTI (129 [24.8%]) were the 2 dominant causes. An infection was present in the causal chain in 549 of 632 deaths (86.9%); pathogens most frequently contributing to infectious deaths included Klebsiella pneumoniae (155 of 549 infectious deaths [28.2%]; 127 [81.9%] considered nosocomial), Plasmodium falciparum (122 of 549 [22.2%]), and Streptococcus pneumoniae (109 of 549 [19.9%]). Other organisms, such as cytomegalovirus (57 [10.4%]) and Acinetobacter baumannii (39 [7.1%]; 35 of 39 [89.7%] considered nosocomial), also played important roles. For the top underlying causes of death, the median number of conditions in the chain of events leading to death was 3 for malnutrition, 3 for HIV, 1 for malaria, 3 for congenital birth defects, and 1 for LRTI. Expert panels considered 494 of 632 deaths (78.2%) preventable and 26 of 632 deaths (4.1%) preventable under certain conditions. CONCLUSIONS AND RELEVANCE: In this cross-sectional study investigating causes of child mortality in the CHAMPS Network, results indicate that, in these high-mortality settings, infectious diseases continue to cause most deaths in infants and children, often in conjunction with malnutrition. These results also highlight opportunities for action to prevent deaths and reveal common interaction of various causes in the path toward death. |
Neural tube defects as a cause of death among stillbirths, infants, and children younger than 5 years in sub-Saharan Africa and southeast Asia: an analysis of the CHAMPS network
Madrid L , Vyas KJ , Kancherla V , Leulseged H , Suchdev PS , Bassat Q , Sow SO , El Arifeen S , Madhi SA , Onyango D , Ogbuanu I , Scott JAG , Blau D , Mandomando I , Keita AM , Gurley ES , Mahtab S , Akelo V , Sannoh S , Tilahun Y , Varo R , Onwuchekwa U , Rahman A , Adam Y , Omore R , Lako S , Xerinda E , Islam KM , Wise A , Tippet-Barr BA , Kaluma E , Ajanovic S , Kotloff KL , Hossain MZ , Mutevedzi P , Tapia MD , Rogena E , Moses F , Whitney CG , Assefa N . Lancet Glob Health 2023 11 (7) e1041-e1052 BACKGROUND: Neural tube defects are common birth defects resulting in severe morbidity and mortality; they can largely be prevented with periconceptional maternal intake of folic acid. Understanding the occurrence of neural tube defects and their contribution to mortality in settings where their burden is highest could inform prevention and health-care policy. We aimed to estimate the mortality attributed to neural tube defects in seven countries in sub-Saharan Africa and southeast Asia. METHODS: This analysis used data from the Child Health and Mortality Prevention Surveillance (CHAMPS) network and health and demographic surveillance systems from South Africa, Mozambique, Bangladesh, Kenya, Mali, Ethiopia, and Sierra Leone. All stillbirths and infants and children younger than 5 years who died, who were enrolled in CHAMPS, whose families consented to post-mortem minimally invasive tissue sampling (MITS) between Jan 1, 2017, and Dec 31, 2021, and who were assigned a cause of death by a determination of cause of death panel as of May 24, 2022, were included in this analysis, regardless the cause of death. MITS and advanced diagnostic methods were used to describe the frequency and characteristics of neural tube defects among eligible deaths, identify risk factors, and estimate the mortality fraction and mortality rate (per 10 000 births) by CHAMPS site. FINDINGS: Causes of death were determined for 3232 stillbirths, infants, and children younger than 5 years, of whom 69 (2%) died with a neural tube defect. Most deaths with a neural tube defect were stillbirths (51 [74%]); 46 (67%) were neural tube defects incompatible with life (ie, anencephaly, craniorachischisis, or iniencephaly) and 22 (32%) were spina bifida. Deaths with a neural tube defect were more common in Ethiopia (adjusted odds ratio 8·09 [95% CI 2·84-23·02]), among female individuals (4·40 [2·44-7·93]), and among those whose mothers had no antenatal care (2·48 [1·12-5·51]). Ethiopia had the highest adjusted mortality fraction of deaths with neural tube defects (7·5% [6·7-8·4]) and the highest adjusted mortality rate attributed to neural tube defects (104·0 per 10 000 births [92·9-116·4]), 4-23 times greater than in any other site. INTERPRETATION: CHAMPS identified neural tube defects, a largely preventable condition, as a common cause of death among stillbirths and neonatal deaths, especially in Ethiopia. Implementing interventions such as mandatory folic acid fortification could reduce mortality due to neural tube defects. FUNDING: Bill & Melinda Gates Foundation. |
Causes of death identified in neonates enrolled through Child Health and Mortality Prevention Surveillance (CHAMPS), December 2016 -December 2021
Mahtab S , Madhi SA , Baillie VL , Els T , Thwala BN , Onyango D , Tippet-Barr BA , Akelo V , Igunza KA , Omore R , Arifeen SE , Gurley ES , Alam M , Chowdhury AI , Rahman A , Bassat Q , Mandomando I , Ajanovic S , Sitoe A , Varo R , Sow SO , Kotloff KL , Badji H , Tapia MD , Traore CB , Ogbuanu IU , Bunn J , Luke R , Sannoh S , Swarray-Deen A , Assefa N , Scott JAG , Madrid L , Marami D , Fentaw S , Diaz MH , Martines RB , Breiman RF , Madewell ZJ , Blau DM , Whitney CG . PLOS Glob Public Health 2023 3 (3) e0001612 Each year, 2.4 million children die within their first month of life. Child Health and Mortality Prevention Surveillance (CHAMPS) established in 7 countries aims to generate accurate data on why such deaths occur and inform prevention strategies. Neonatal deaths that occurred between December 2016 and December 2021 were investigated with MITS within 24-72 hours of death. Testing included blood, cerebrospinal fluid and lung cultures, multi-pathogen PCR on blood, CSF, nasopharyngeal swabs and lung tissue, and histopathology examination of lung, liver and brain. Data collection included clinical record review and family interview using standardized verbal autopsy. The full set of data was reviewed by local experts using a standardized process (Determination of Cause of Death) to identify all relevant conditions leading to death (causal chain), per WHO recommendations. For analysis we stratified neonatal death into 24-hours of birth, early (1-<7 days) and late (7-<28 days) neonatal deaths. We analyzed 1458 deaths, 41% occurring within 24-hours, 41% early and 18% late neonatal deaths. Leading underlying causes of death were complications of intrapartum events (31%), complications of prematurity (28%), infections (17%), respiratory disorders (11%), and congenital malformations (8%). In addition to the underlying cause, 62% of deaths had additional conditions and 14% had ≥3 other conditions in the causal chain. The most common causes considering the whole causal chain were infection (40%), prematurity (32%) and respiratory distress syndrome (28%). Common maternal conditions linked to neonatal death were maternal hypertension (10%), labour and delivery complications (8%), multiple gestation (7%), placental complications (6%) obstructed labour and chorioamnionitis (5%, each). CHAMPS' findings showing the full causal chain of events that lead to death, in addition to maternal factors, highlights the complexities involved in each death along with the multiple opportunities for prevention. Highlighting improvements to prenatal and obstetric care and infection prevention are urgently needed in high-mortality settings. |
Diagnostic accuracy of the Panbio COVID-19 antigen rapid test device for SARS-CoV-2 detection in Kenya, 2021: A field evaluation
Irungu JK , Munyua P , Ochieng C , Juma B , Amoth P , Kuria F , Kiiru J , Makayotto L , Abade A , Bulterys M , Hunsperger E , Emukule GO , Onyango C , Samandari T , Barr BAT , Akelo V , Weyenga H , Munywoki PK , Bigogo G , Otieno NA , Kisivuli JA , Ochieng E , Nyaga R , Hull N , Herman-Roloff A , Aman R . PLoS One 2023 18 (1) e0277657 BACKGROUND: Accurate and timely diagnosis is essential in limiting the spread of SARS-CoV-2 infection. The reference standard, rRT-PCR, requires specialized laboratories, costly reagents, and a long turnaround time. Antigen RDTs provide a feasible alternative to rRT-PCR since they are quick, relatively inexpensive, and do not require a laboratory. The WHO requires that Ag RDTs have a sensitivity ≥80% and specificity ≥97%. METHODS: This evaluation was conducted at 11 health facilities in Kenya between March and July 2021. We enrolled persons of any age with respiratory symptoms and asymptomatic contacts of confirmed COVID-19 cases. We collected demographic and clinical information and two nasopharyngeal specimens from each participant for Ag RDT testing and rRT-PCR. We calculated the diagnostic performance of the Panbio™ Ag RDT against the US Centers for Disease Control and Prevention's (CDC) rRT-PCR test. RESULTS: We evaluated the Ag RDT in 2,245 individuals where 551 (24.5%, 95% CI: 22.8-26.3%) tested positive by rRT-PCR. Overall sensitivity of the Ag RDT was 46.6% (95% CI: 42.4-50.9%), specificity 98.5% (95% CI: 97.8-99.0%), PPV 90.8% (95% CI: 86.8-93.9%) and NPV 85.0% (95% CI: 83.4-86.6%). Among symptomatic individuals, sensitivity was 60.6% (95% CI: 54.3-66.7%) and specificity was 98.1% (95% CI: 96.7-99.0%). Among asymptomatic individuals, sensitivity was 34.7% (95% CI 29.3-40.4%) and specificity was 98.7% (95% CI: 97.8-99.3%). In persons with onset of symptoms <5 days (594/876, 67.8%), sensitivity was 67.1% (95% CI: 59.2-74.3%), and 53.3% (95% CI: 40.0-66.3%) among those with onset of symptoms >7 days (157/876, 17.9%). The highest sensitivity was 87.0% (95% CI: 80.9-91.8%) in symptomatic individuals with cycle threshold (Ct) values ≤30. CONCLUSION: The overall sensitivity and NPV of the Panbio™ Ag RDT were much lower than expected. The specificity of the Ag RDT was high and satisfactory; therefore, a positive result may not require confirmation by rRT-PCR. The kit may be useful as a rapid screening tool only for symptomatic patients in high-risk settings with limited access to rRT-PCR. A negative result should be interpreted based on clinical and epidemiological information and may require retesting by rRT-PCR. |
Adverse maternal, fetal, and newborn outcomes among pregnant women with SARS-CoV-2 infection: an individual participant data meta-analysis
Smith ER , Oakley E , Grandner GW , Ferguson K , Farooq F , Afshar Y , Ahlberg M , Ahmadzia H , Akelo V , Aldrovandi G , Tippett Barr BA , Bevilacqua E , Brandt JS , Broutet N , Fernández Buhigas I , Carrillo J , Clifton R , Conry J , Cosmi E , Crispi F , Crovetto F , Delgado-López C , Divakar H , Driscoll AJ , Favre G , Flaherman VJ , Gale C , Gil MM , Gottlieb SL , Gratacós E , Hernandez O , Jones S , Kalafat E , Khagayi S , Knight M , Kotloff K , Lanzone A , Le Doare K , Lees C , Litman E , Lokken EM , Laurita Longo V , Madhi SA , Magee LA , Martinez-Portilla RJ , McClure EM , Metz TD , Miller ES , Money D , Moungmaithong S , Mullins E , Nachega JB , Nunes MC , Onyango D , Panchaud A , Poon LC , Raiten D , Regan L , Rukundo G , Sahota D , Sakowicz A , Sanin-Blair J , Söderling J , Stephansson O , Temmerman M , Thorson A , Tolosa JE , Townson J , Valencia-Prado M , Visentin S , von Dadelszen P , Adams Waldorf K , Whitehead C , Yassa M , Tielsch JM . BMJ Glob Health 2023 8 (1) INTRODUCTION: Despite a growing body of research on the risks of SARS-CoV-2 infection during pregnancy, there is continued controversy given heterogeneity in the quality and design of published studies. METHODS: We screened ongoing studies in our sequential, prospective meta-analysis. We pooled individual participant data to estimate the absolute and relative risk (RR) of adverse outcomes among pregnant women with SARS-CoV-2 infection, compared with confirmed negative pregnancies. We evaluated the risk of bias using a modified Newcastle-Ottawa Scale. RESULTS: We screened 137 studies and included 12 studies in 12 countries involving 13 136 pregnant women.Pregnant women with SARS-CoV-2 infection-as compared with uninfected pregnant women-were at significantly increased risk of maternal mortality (10 studies; n=1490; RR 7.68, 95% CI 1.70 to 34.61); admission to intensive care unit (8 studies; n=6660; RR 3.81, 95% CI 2.03 to 7.17); receiving mechanical ventilation (7 studies; n=4887; RR 15.23, 95% CI 4.32 to 53.71); receiving any critical care (7 studies; n=4735; RR 5.48, 95% CI 2.57 to 11.72); and being diagnosed with pneumonia (6 studies; n=4573; RR 23.46, 95% CI 3.03 to 181.39) and thromboembolic disease (8 studies; n=5146; RR 5.50, 95% CI 1.12 to 27.12).Neonates born to women with SARS-CoV-2 infection were more likely to be admitted to a neonatal care unit after birth (7 studies; n=7637; RR 1.86, 95% CI 1.12 to 3.08); be born preterm (7 studies; n=6233; RR 1.71, 95% CI 1.28 to 2.29) or moderately preterm (7 studies; n=6071; RR 2.92, 95% CI 1.88 to 4.54); and to be born low birth weight (12 studies; n=11 930; RR 1.19, 95% CI 1.02 to 1.40). Infection was not linked to stillbirth. Studies were generally at low or moderate risk of bias. CONCLUSIONS: This analysis indicates that SARS-CoV-2 infection at any time during pregnancy increases the risk of maternal death, severe maternal morbidities and neonatal morbidity, but not stillbirth or intrauterine growth restriction. As more data become available, we will update these findings per the published protocol. |
Adapting Longstanding Public Health Collaborations between Government of Kenya and CDC Kenya in Response to the COVID-19 Pandemic, 2020-2021.
Herman-Roloff A , Aman R , Samandari T , Kasera K , Emukule GO , Amoth P , Chen TH , Kisivuli J , Weyenga H , Hunsperger E , Onyango C , Juma B , Munyua P , Wako D , Akelo V , Kimanga D , Ndegwa L , Mohamed AA , Okello P , Kariuki S , DeCock KM , Bulterys M . Emerg Infect Dis 2022 28 (13) S159-s167 Kenya's Ministry of Health (MOH) and the US Centers for Disease Control and Prevention in Kenya (CDC Kenya) have maintained a 40-year partnership during which measures were implemented to prevent, detect, and respond to disease threats. During the COVID-19 pandemic, the MOH and CDC Kenya rapidly responded to mitigate disease impact on Kenya's 52 million residents. We describe activities undertaken jointly by the MOH and CDC Kenya that lessened the effects of COVID-19 during 5 epidemic waves from March through December 2021. Activities included establishing national and county-level emergency operations centers and implementing workforce development and deployment, infection prevention and control training, laboratory diagnostic advancement, enhanced surveillance, and information management. The COVID-19 pandemic provided fresh impetus for the government of Kenya to establish a national public health institute, launched in January 2022, to consolidate its public health activities and counter COVID-19 and future infectious, vaccine-preventable, and emerging zoonotic diseases. |
Traditional medicine beliefs and practices among caregivers of children under five years-The Child Health and Mortality Prevention Surveillance (CHAMPS), Western Kenya: A qualitative study
Ngere SH , Akelo V , Ondeng'e K , Ridzon R , Otieno P , Nyanjom M , Omore R , Barr BAT . PLoS One 2022 17 (11) e0276735 BACKGROUND: Approximately 80% of the population residing in sub-Saharan Africa relies on Traditional Medicine (TM). However, literature on factors motivating the use of TM for children under the age of five in these settings is limited. Such information can guide policy formulation for integration of TM into mainstream health care services. This study aimed to describe the motivation on use of TM among caregivers of children residing in rural and urban communities in western Kenya. METHODS: The socio-behavioral sciences (SBS) arm of the Child Health and Mortality Prevention Surveillance (CHAMPS) program in western Kenya, conducted a cross-sectional qualitative study in Manyatta-an urban informal settlement located in Kisumu town and Karemo-a rural setting in Siaya County. We performed 29 in-depth interviews, 5 focus group discussions and 11 semi-structured interviews with community representatives (n = 53), health workers (n = 17), and community leaders (n = 18). All the participants were purposively sampled. We performed thematic analysis using both inductive and deductive approaches. Data management was completed on Nvivo 11.0 software (QSR International, Melbourne, Australia). RESULTS: Our findings reveal that some caregivers prefer TM to treat some childhood diseases. Use of TM was informed by illness beliefs about etiology of disease. We observed an appreciation from the study participants that malaria can effectively be treated by Conventional Medicine (CM) while TM was preferred to treat measles and diseases believed to be associated with supernatural etiology such as witchcraft, evil spirit or breaching cultural taboos. TM was also used in instances where CM failed to provide a diagnosis or when CM was 'slow'. TM in such cases was used as a last resort. CONCLUSION: We observed varied beliefs that motivate caregivers' choice of TM use among children in western Kenya. It is therefore crucial to consider perceptions and socio-cultural beliefs about illnesses when formulating interventions that are geared towards child health. |
First cases of SARS-CoV-2 infection and secondary transmission in Kisumu, Kenya
Tippett Barr Beth A , Herman-Roloff Amy , Mburu Margaret , Murnane Pamela M , Sang Norton , Bukusi Elizabeth , Oele Elizabeth , Odhiambo Albert , Lewis-Kulzer Jayne , Onyango Clayton O , Hunsperger Elizabeth , Odhiambo Francesca , Joseph Rachel H , Munyua Peninah , Othieno Kephas , Mulwa Edwin , Akelo Victor , Muok Erick , Bulterys Marc , Nzioka Charles , Cohen Craig R . PLoS Glob Public Health 2022 2 (9) e0000951 We investigated the first 152 laboratory-confirmed SARS-CoV-2 cases (125 primary and 27 secondary) and their 248 close contacts in Kisumu County, Kenya. Conducted June 10–October 8, 2020, this study included interviews and sample collection at enrolment and 14–21 days later. Median age was 35 years (IQR 28–44); 69.0% reported COVID-19 related symptoms, most commonly cough (60.0%), headache (55.2%), fever (53.3%) and loss of taste or smell (43.8%). One in five were hospitalized, 34.4% >25 years of age had at least one comorbidity, and all deaths had comorbidities. Adults ≥25 years with a comorbidity were 3.15 (95% CI 1.37–7.26) times more likely to have been hospitalized or died than participants without a comorbidity. Infectious comorbidities included HIV, tuberculosis, and malaria, but no current cases of influenza, respiratory syncytial virus, dengue fever, leptospirosis or chikungunya were identified. Thirteen (10.4%) of the 125 primary infections transmitted COVID-19 to 27 close contacts, 158 (63.7%) of whom resided or worked within the same household. Thirty-one percent (4 of 13) of those who transmitted COVID-19 to secondary cases were health care workers; no known secondary transmissions occurred between health care workers. This rapid assessment early in the course of the COVID-19 pandemic identified some context-specific characteristics which conflicted with the national line-listing of cases, and which have been substantiated in the year since. These included over two-thirds of cases reporting the development of symptoms during the two weeks after diagnosis, compared to the 7% of cases reported nationally; over half of cases reporting headaches, and nearly half of all cases reporting loss of taste and smell, none of which were reported at the time by the World Health Organization to be common symptoms. This study highlights the importance of rapid in-depth assessments of outbreaks in understanding the local epidemiology and response measures required. |
Prioritizing health care strategies to reduce childhood mortality
Madewell ZJ , Whitney CG , Velaphi S , Mutevedzi P , Mahtab S , Madhi SA , Fritz A , Swaray-Deen A , Sesay T , Ogbuanu IU , Mannah MT , Xerinda EG , Sitoe A , Mandomando I , Bassat Q , Ajanovic S , Tapia MD , Sow SO , Mehta A , Kotloff KL , Keita AM , Tippett Barr BA , Onyango D , Oele E , Igunza KA , Agaya J , Akelo V , Scott JAG , Madrid L , Kelil YE , Dufera T , Assefa N , Gurley ES , El Arifeen S , Spotts Whitney EA , Seib K , Rees CA , Blau DM . JAMA Netw Open 2022 5 (10) e2237689 IMPORTANCE: Although child mortality trends have decreased worldwide, deaths among children younger than 5 years of age remain high and disproportionately circumscribed to sub-Saharan Africa and Southern Asia. Tailored and innovative approaches are needed to increase access, coverage, and quality of child health care services to reduce mortality, but an understanding of health system deficiencies that may have the greatest impact on mortality among children younger than 5 years is lacking. OBJECTIVE: To investigate which health care and public health improvements could have prevented the most stillbirths and deaths in children younger than 5 years using data from the Child Health and Mortality Prevention Surveillance (CHAMPS) network. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used longitudinal, population-based, and mortality surveillance data collected by CHAMPS to understand preventable causes of death. Overall, 3390 eligible deaths across all 7 CHAMPS sites (Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa) between December 9, 2016, and December 31, 2021 (1190 stillbirths, 1340 neonatal deaths, 860 infant and child deaths), were included. Deaths were investigated using minimally invasive tissue sampling (MITS), a postmortem approach using biopsy needles for sampling key organs and fluids. MAIN OUTCOMES AND MEASURES: For each death, an expert multidisciplinary panel reviewed case data to determine the plausible pathway and causes of death. If the death was deemed preventable, the panel identified which of 10 predetermined health system gaps could have prevented the death. The health system improvements that could have prevented the most deaths were evaluated for each age group: stillbirths, neonatal deaths (aged <28 days), and infant and child deaths (aged 1 month to <5 years). RESULTS: Of 3390 deaths, 1505 (44.4%) were female and 1880 (55.5%) were male; sex was not recorded for 5 deaths. Of all deaths, 3045 (89.8%) occurred in a healthcare facility and 344 (11.9%) in the community. Overall, 2607 (76.9%) were deemed potentially preventable: 883 of 1190 stillbirths (74.2%), 1010 of 1340 neonatal deaths (75.4%), and 714 of 860 infant and child deaths (83.0%). Recommended measures to prevent deaths were improvements in antenatal and obstetric care (recommended for 588 of 1190 stillbirths [49.4%], 496 of 1340 neonatal deaths [37.0%]), clinical management and quality of care (stillbirths, 280 [23.5%]; neonates, 498 [37.2%]; infants and children, 393 of 860 [45.7%]), health-seeking behavior (infants and children, 237 [27.6%]), and health education (infants and children, 262 [30.5%]). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, interventions prioritizing antenatal, intrapartum, and postnatal care could have prevented the most deaths among children younger than 5 years because 75% of deaths among children younger than 5 were stillbirths and neonatal deaths. Measures to reduce mortality in this population should prioritize improving existing systems, such as better access to antenatal care, implementation of standardized clinical protocols, and public education campaigns. |
Clinical risk factors of adverse outcomes among women with COVID-19 in the pregnancy and postpartum period: A sequential, prospective meta-analysis.
Smith ER , Oakley E , Grandner GW , Rukundo G , Farooq F , Ferguson K , Baumann S , Waldorf KA , Afshar Y , Ahlberg M , Ahmadzia H , Akelo V , Aldrovandi G , Bevilacqua E , Bracero N , Brandt JS , Broutet N , Carrillo J , Conry J , Cosmi E , Crispi F , Crovetto F , Gil MDM , Delgado-Lpez C , Divakar H , Driscoll AJ , Favre G , Buhigas IF , Flaherman V , Gale C , Godwin CL , Gottlieb S , Gratacs E , He S , Hernandez O , Jones S , Joshi S , Kalafat E , Khagayi S , Knight M , Kotloff K , Lanzone A , Longo VL , LeDoare K , Lees C , Litman E , Lokken EM , Madhi SA , Magee LA , Martinez-Portilla RJ , Metz TD , Miller ES , Money D , Moungmaithong S , Mullins E , Nachega JB , Nunes MC , Onyango D , Panchaud A , Poon LC , Raiten D , Regan L , Sahota D , Sakowicz A , Sanin-Blair J , Stephansson O , Temmerman M , Thorson A , Thwin SS , TippettBarr BA , Tolosa JE , Tug N , Valencia-Prado M , Visentin S , vonDadelszen P , Whitehead C , Wood M , Yang H , Zavala R , Tielsch JM . Am J Obstet Gynecol 2022 228 (2) 161-177 OBJECTIVE: This sequential, prospective meta-analysis (sPMA) sought to identify risk factors among pregnant and postpartum women with COVID-19 for adverse outcomes related to: disease severity, maternal morbidities, neonatal mortality and morbidity, adverse birth outcomes. DATA SOURCES: We prospectively invited study investigators to join the sPMA via professional research networks beginning in March 2020. STUDY ELIGIBILITY CRITERIA: Eligible studies included those recruiting at least 25 consecutive cases of COVID-19 in pregnancy within a defined catchment area. STUDY APPRAISAL AND SYNTHESIS METHODS: We included individual patient data from 21 participating studies. Data quality was assessed, and harmonized variables for risk factors and outcomes were constructed. Duplicate cases were removed. Pooled estimates for the absolute and relative risk of adverse outcomes comparing those with and without each risk factor were generated using a two-stage meta-analysis. RESULTS: We collected data from 33 countries and territories, including 21,977 cases of SARS-CoV-2 infection in pregnancy or postpartum. We found that women with comorbidities (pre-existing diabetes, hypertension, cardiovascular disease) versus those without were at higher risk for COVID-19 severity and pregnancy health outcomes (fetal death, preterm birth, low birthweight). Participants with COVID-19 and HIV were 1.74 times (95% CI: 1.12, 2.71) more likely to be admitted to the ICU. Pregnant women who were underweight before pregnancy were at higher risk of ICU admission (RR 5.53, 95% CI: 2.27, 13.44), ventilation (RR 9.36, 95% CI: 3.87, 22.63), and pregnancy-related death (RR 14.10, 95% CI: 2.83, 70.36). Pre-pregnancy obesity was also a risk factor for severe COVID-19 outcomes including ICU admission (RR 1.81, 95% CI: 1.26,2.60), ventilation (RR 2.05, 95% CI: 1.20,3.51), any critical care (RR 1.89, 95% CI: 1.28,2.77), and pneumonia (RR 1.66, 95% CI: 1.18,2.33). Anemic pregnant women with COVID-19 also had increased risk of ICU admission (RR 1.63, 95% CI: 1.25, 2.11) and death (RR 2.36, 95% CI: 1.15, 4.81). CONCLUSION: We found that pregnant women with comorbidities including diabetes, hypertension, and cardiovascular disease were at increased risk for severe COVID-19-related outcomes, maternal morbidities, and adverse birth outcomes. We also identified several less commonly-known risk factors, including HIV infection, pre-pregnancy underweight, and anemia. Although pregnant women are already considered a high-risk population, special priority for prevention and treatment should be given to pregnant women with these additional risk factors. |
Insights on the differentiation of stillbirths and early neonatal deaths: A study from the Child Health and Mortality Prevention Surveillance (CHAMPS) network
Quincer E , Philipsborn R , Morof D , Salzberg NT , Vitorino P , Ajanovic S , Onyango D , Ogbuanu I , Assefa N , Sow SO , Mutevedzi P , El Arifeen S , Tippet Barr BA , Scott JAG , Mandomando I , Kotloff KL , Jambai A , Akelo V , Cain CJ , Chowdhury AI , Gure T , Igunza KA , Islam F , Keita AM , Madrid L , Mahtab S , Mehta A , Mitei PK , Ntuli C , Ojulong J , Rahman A , Samura S , Sidibe D , Thwala BN , Varo R , Madhi SA , Bassat Q , Gurley ES , Blau DM , Whitney CG . PLoS One 2022 17 (7) e0271662 INTRODUCTION: The high burden of stillbirths and neonatal deaths is driving global initiatives to improve birth outcomes. Discerning stillbirths from neonatal deaths can be difficult in some settings, yet this distinction is critical for understanding causes of perinatal deaths and improving resuscitation practices for live born babies. METHODS: We evaluated data from the Child Health and Mortality Prevention Surveillance (CHAMPS) network to compare the accuracy of determining stillbirths versus neonatal deaths from different data sources and to evaluate evidence of resuscitation at delivery in accordance with World Health Organization (WHO) guidelines. CHAMPS works to identify causes of stillbirth and death in children <5 years of age in Bangladesh and 6 countries in sub-Saharan Africa. Using CHAMPS data, we compared the final classification of a case as a stillbirth or neonatal death as certified by the CHAMPS Determining Cause of Death (DeCoDe) panel to both the initial report of the case by the family member or healthcare worker at CHAMPS enrollment and the birth outcome as stillbirth or livebirth documented in the maternal health record. RESULTS: Of 1967 deaths ultimately classified as stillbirth, only 28 (1.4%) were initially reported as livebirths. Of 845 cases classified as very early neonatal death, 33 (4%) were initially reported as stillbirth. Of 367 cases with post-mortem examination showing delivery weight >1000g and no maceration, the maternal clinical record documented that resuscitation was not performed in 161 cases (44%), performed in 14 (3%), and unknown or data missing for 192 (52%). CONCLUSION: This analysis found that CHAMPS cases assigned as stillbirth or neonatal death after DeCoDe expert panel review were generally consistent with the initial report of the case as a stillbirth or neonatal death. Our findings suggest that more frequent use of resuscitation at delivery and improvements in documentation around events at birth could help improve perinatal outcomes. |
Acceptability and experiences with the use of 3D scans to measure anthropometry of young children in surveys and surveillance systems from the perspective of field teams and caregivers
Jefferds MED , Mei Z , Palmieri M , Mesarina K , Onyango D , Mwando R , Akelo V , Liu J , Zhou Y , Meng Y , Bougma K . Curr Dev Nutr 2022 6 (6) nzac085 BACKGROUND: Portable systems using three-dimensional (3D) scan data to calculate young child anthropometry measurements in population-based surveys and surveillance systems lack acceptability data from field workers and caregivers. OBJECTIVE: The aim was to assess acceptability and experiences with 3D scans measuring child aged 0-59 mo anthropometry in population-based surveys and surveillance systems in Guatemala, Kenya, and China (0-23 mo only) among field teams and caregivers of young children as secondary objectives of an external effectiveness evaluation. METHODS: Manual data were collected twice and 12 images captured per child by anthropometrist/expert and assistant (AEA) field teams (individuals/country, n = 15/Guatemala, n = 8/Kenya, n = 6/China). Caregivers were interviewed after observing their child's manual and scan data collection. Mixed methods included an administered caregiver interview (Guatemala, n = 465; Kenya, n = 496; China, n = 297) and self-administered AEA questionnaire both with closed- and open-ended questions, and 6 field team focus group discussions (FGDs; Guatemala, n = 2; Kenya, n = 3; China, n = 1). Qualitative data were coded by 2 authors and quantitative data produced descriptive statistics. Mixed-method results were compared and triangulated. RESULTS: Most AEAs were female with secondary or higher education. Approximately 80-90% of caregivers were the child's mother. To collect all anthropometry data, 62.1% of the 29 AEAs preferred scan, while 31% preferred manual methods. In FGDs, a key barrier for manual and scan methods was lack of child cooperation. Across countries, approximately 30% to almost 50% of caregivers said their child was bothered by each manual and scan method, while 95% of caregivers were willing to have their child measured by scans in the future. CONCLUSIONS: Use of 3D scans to calculate anthropometry measurements was generally at least as acceptable as manual anthropometry measurement among AEA field workers and caregivers of young children aged <60 mo, and in some cases preferred. |
Protocol for a sequential, prospective meta-analysis to describe coronavirus disease 2019 (COVID-19) in the pregnancy and postpartum periods.
Smith ER , Oakley E , He S , Zavala R , Ferguson K , Miller L , Grandner GW , Abejirinde IO , Afshar Y , Ahmadzia H , Aldrovandi G , Akelo V , Tippett Barr BA , Bevilacqua E , Brandt JS , Broutet N , Fernández Buhigas I , Carrillo J , Clifton R , Conry J , Cosmi E , Delgado-López C , Divakar H , Driscoll AJ , Favre G , Flaherman V , Gale C , Gil MM , Godwin C , Gottlieb S , Hernandez Bellolio O , Kara E , Khagayi S , Kim CR , Knight M , Kotloff K , Lanzone A , Le Doare K , Lees C , Litman E , Lokken EM , Laurita Longo V , Magee LA , Martinez-Portilla RJ , McClure E , Metz TD , Money D , Mullins E , Nachega JB , Panchaud A , Playle R , Poon LC , Raiten D , Regan L , Rukundo G , Sanin-Blair J , Temmerman M , Thorson A , Thwin S , Tolosa JE , Townson J , Valencia-Prado M , Visentin S , von Dadelszen P , Adams Waldorf K , Whitehead C , Yang H , Thorlund K , Tielsch JM . PLoS One 2022 17 (6) e0270150 We urgently need answers to basic epidemiological questions regarding SARS-CoV-2 infection in pregnant and postpartum women and its effect on their newborns. While many national registries, health facilities, and research groups are collecting relevant data, we need a collaborative and methodologically rigorous approach to better combine these data and address knowledge gaps, especially those related to rare outcomes. We propose that using a sequential, prospective meta-analysis (PMA) is the best approach to generate data for policy- and practice-oriented guidelines. As the pandemic evolves, additional studies identified retrospectively by the steering committee or through living systematic reviews will be invited to participate in this PMA. Investigators can contribute to the PMA by either submitting individual patient data or running standardized code to generate aggregate data estimates. For the primary analysis, we will pool data using two-stage meta-analysis methods. The meta-analyses will be updated as additional data accrue in each contributing study and as additional studies meet study-specific time or data accrual thresholds for sharing. At the time of publication, investigators of 25 studies, including more than 76,000 pregnancies, in 41 countries had agreed to share data for this analysis. Among the included studies, 12 have a contemporaneous comparison group of pregnancies without COVID-19, and four studies include a comparison group of non-pregnant women of reproductive age with COVID-19. Protocols and updates will be maintained publicly. Results will be shared with key stakeholders, including the World Health Organization (WHO) Maternal, Newborn, Child, and Adolescent Health (MNCAH) Research Working Group. Data contributors will share results with local stakeholders. Scientific publications will be published in open-access journals on an ongoing basis. |
Brief report: No differences between lopinavir/ritonavir and nonnucleoside reverse transcriptase inhibitor-based antiretroviral therapy on clearance of plasmodium falciparum subclinical parasitemia in adults living with HIV starting treatment (A5297)
Shaffer D , Kumwenda J , Chen H , Akelo V , Angira F , Kosgei J , Tonui R , Ssali F , McKhann A , Hogg E , Stewart VA , Murphy SC , Coombs R , Schooley R . J Acquir Immune Defic Syndr 2022 89 (2) 178-182 BACKGROUND: HIV protease inhibitors anti-Plasmodium falciparum activity in adults remains uncertain. METHODS: Adults with HIV CD4+ counts >200 cells/mm3 starting antiretroviral therapy (ART) with P. falciparum subclinical parasitemia (Pf SCP) were randomized 1:1 to (step 1) protease inhibitor lopinavir/ritonavir (LPV/r)-based (arm A) or nonnucleoside reverse transcriptase inhibitor (nNRTI)-based ART (arm B) for 15 days. In step 2, participants received nNRTI-based ART and trimethoprim/sulfamethoxazole prophylaxis for 15 days. P. falciparum SCP clearance was measured by polymerase chain reaction. The Fisher exact test [95% exact confidence interval (CI)] was used to compare proportions of P. falciparum SCP clearance (<10 parasites/L on 3 occasions within 24 hours) between LPV/r and nNRTI arms at day 15. The Kaplan-Meier method and log-rank test were used to compare time-to-clearance. RESULTS: Fifty-two adults from Kenya, Malawi, and Uganda with a median age = 31 (Q1, Q3: 24-39) years, 33% women, with baseline median CD4+ counts of 324 (259-404) cells/mm3, median HIV-1 RNA viremia of 5.18 log10 copies/mL (4.60-5.71), and median estimated P. falciparum density of 454 parasites/L (83-2219) enrolled in the study. Forty-nine (94%) participants completed the study. At day 15, there was no statistically significant difference in the proportions of P. falciparum SCP clearance between the LPV/r (23.1% clearance; 6 of the 26) and nNRTI (26.9% clearance; 7 of the 26) arms [between-arm difference 3.9% (95% CI, -21.1% to 28.4%; P = 1.00)]. No significant difference in time-to-clearance was observed between the arms (P = 0.80). CONCLUSIONS: In a small randomized study of adults starting ART with P. falciparum SCP, no statistically significant differences were seen between LPV/r- and nNRTI-based ART in P. falciparum SCP clearance after 15 days of treatment. |
Postmortem investigations and identification of multiple causes of child deaths: An analysis of findings from the Child Health and Mortality Prevention Surveillance (CHAMPS) network
Breiman RF , Blau DM , Mutevedzi P , Akelo V , Mandomando I , Ogbuanu IU , Sow SO , Madrid L , El Arifeen S , Garel M , Thwala NB , Onyango D , Sitoe A , Bassey IA , Keita AM , Alemu A , Alam M , Mahtab S , Gethi D , Varo R , Ojulong J , Samura S , Mehta A , Ibrahim AM , Rahman A , Vitorino P , Baillie VL , Agaya J , Tapia MD , Assefa N , Chowdhury AI , Scott JAG , Gurley ES , Kotloff KL , Jambai A , Bassat Q , Tippett-Barr BA , Madhi SA , Whitney CG . PLoS Med 2021 18 (9) e1003814 BACKGROUND: The current burden of >5 million deaths yearly is the focus of the Sustainable Development Goal (SDG) to end preventable deaths of newborns and children under 5 years old by 2030. To accelerate progression toward this goal, data are needed that accurately quantify the leading causes of death, so that interventions can target the common causes. By adding postmortem pathology and microbiology studies to other available data, the Child Health and Mortality Prevention Surveillance (CHAMPS) network provides comprehensive evaluations of conditions leading to death, in contrast to standard methods that rely on data from medical records and verbal autopsy and report only a single underlying condition. We analyzed CHAMPS data to characterize the value of considering multiple causes of death. METHODS AND FINDINGS: We examined deaths identified from December 2016 through November 2020 from 7 CHAMPS sites (in Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa), including 741 neonatal, 278 infant, and 241 child <5 years deaths for which results from Determination of Cause of Death (DeCoDe) panels were complete. DeCoDe panelists included all conditions in the causal chain according to the ICD-10 guidelines and assessed if prevention or effective management of the condition would have prevented the death. We analyzed the distribution of all conditions listed as causal, including underlying, antecedent, and immediate causes of death. Among 1,232 deaths with an underlying condition determined, we found a range of 0 to 6 (mean 1.5, IQR 0 to 2) additional conditions in the causal chain leading to death. While pathology provides very helpful clues, we cannot always be certain that conditions identified led to death or occurred in an agonal stage of death. For neonates, preterm birth complications (most commonly respiratory distress syndrome) were the most common underlying condition (n = 282, 38%); among those with preterm birth complications, 256 (91%) had additional conditions in causal chains, including 184 (65%) with a different preterm birth complication, 128 (45%) with neonatal sepsis, 69 (24%) with lower respiratory infection (LRI), 60 (21%) with meningitis, and 25 (9%) with perinatal asphyxia/hypoxia. Of the 278 infant deaths, 212 (79%) had ≥1 additional cause of death (CoD) beyond the underlying cause. The 2 most common underlying conditions in infants were malnutrition and congenital birth defects; LRI and sepsis were the most common additional conditions in causal chains, each accounting for approximately half of deaths with either underlying condition. Of the 241 child deaths, 178 (75%) had ≥1 additional condition. Among 46 child deaths with malnutrition as the underlying condition, all had ≥1 other condition in the causal chain, most commonly sepsis, followed by LRI, malaria, and diarrheal disease. Including all positions in the causal chain for neonatal deaths resulted in 19-fold and 11-fold increases in attributable roles for meningitis and LRI, respectively. For infant deaths, the proportion caused by meningitis and sepsis increased by 16-fold and 11-fold, respectively; for child deaths, sepsis and LRI are increased 12-fold and 10-fold, respectively. While comprehensive CoD determinations were done for a substantial number of deaths, there is potential for bias regarding which deaths in surveillance areas underwent minimally invasive tissue sampling (MITS), potentially reducing representativeness of findings. CONCLUSIONS: Including conditions that appear anywhere in the causal chain, rather than considering underlying condition alone, markedly changed the proportion of deaths attributed to various diagnoses, especially LRI, sepsis, and meningitis. While CHAMPS methods cannot determine when 2 conditions cause death independently or may be synergistic, our findings suggest that considering the chain of events leading to death can better guide research and prevention priorities aimed at reducing child deaths. |
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