Last data update: Apr 29, 2024. (Total: 46658 publications since 2009)
Records 1-30 (of 88 Records) |
Query Trace: Pierce T[original query] |
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Characteristics of patients with initial clostridioides difficile infection (CDI) that are associated with increased risk of multiple CDI recurrences
Guh AY , Li R , Korhonen L , Winston LG , Parker E , Czaja CA , Johnston H , Basiliere E , Meek J , Olson D , Fridkin SK , Wilson LE , Perlmutter R , Holzbauer SM , D'Heilly P , Phipps EC , Flores KG , Dumyati GK , Pierce R , Ocampo VLS , Wilson CD , Watkins JJ , Gerding DN , McDonald LC . Open Forum Infect Dis 2024 11 (4) ofae127 BACKGROUND: Because interventions are available to prevent further recurrence in patients with recurrent Clostridioides difficile infection (rCDI), we identified predictors of multiple rCDI (mrCDI) in adults at the time of presentation with initial CDI (iCDI). METHODS: iCDI was defined as a positive C difficile test in any clinical setting during January 2018-August 2019 in a person aged ≥18 years with no known prior positive test. rCDI was defined as a positive test ≥14 days from the previous positive test within 180 days after iCDI; mrCDI was defined as ≥2 rCDI. We performed multivariable logistic regression analysis. RESULTS: Of 18 829 patients with iCDI, 882 (4.7%) had mrCDI; 437 with mrCDI and 7484 without mrCDI had full chart reviews. A higher proportion of patients with mrCDI than without mrCDI were aged ≥65 years (57.2% vs 40.7%; P < .0001) and had healthcare (59.1% vs 46.9%; P < .0001) and antibiotic (77.3% vs 67.3%; P < .0001) exposures in the 12 weeks preceding iCDI. In multivariable analysis, age ≥65 years (adjusted odds ratio [aOR], 1.91; 95% confidence interval [CI], 1.55-2.35), chronic hemodialysis (aOR, 2.28; 95% CI, 1.48-3.51), hospitalization (aOR, 1.64; 95% CI, 1.33-2.01), and nitrofurantoin use (aOR, 1.95; 95% CI, 1.18-3.23) in the 12 weeks preceding iCDI were associated with mrCDI. CONCLUSIONS: Patients with iCDI who are older, on hemodialysis, or had recent hospitalization or nitrofurantoin use had increased risk of mrCDI and may benefit from early use of adjunctive therapy to prevent mrCDI. If confirmed, these findings could aid in clinical decision making and interventional study designs. |
Genomic description of acquired fluconazole- and echinocandin-resistance in patients with serial Candida glabrata isolates
Misas E , Seagle E , Jenkins EN , Rajeev M , Hurst S , Nunnally NS , Bentz ML , Lyman MM , Berkow E , Harrison LH , Schaffner W , Markus TM , Pierce R , Farley MM , Chow NA , Lockhart SR , Litvintseva AP . J Clin Microbiol 2024 e0114023 Candida glabrata is one of the most common causes of systemic candidiasis, often resistant to antifungal medications. To describe the genomic context of emerging resistance, we conducted a retrospective analysis of 82 serially collected isolates from 33 patients from population-based candidemia surveillance in the United States. We used whole-genome sequencing to determine the genetic relationships between isolates obtained from the same patient. Phylogenetic analysis demonstrated that isolates from 29 patients were clustered by patient. The median SNPs between isolates from the same patient was 30 (range: 7-96 SNPs), while unrelated strains infected four patients. Twenty-one isolates were resistant to echinocandins, and 24 were resistant to fluconazole. All echinocandin-resistant isolates carried a mutation either in the FKS1 or FKS2 HS1 region. Of the 24 fluconazole-resistant isolates, 17 (71%) had non-synonymous polymorphisms in the PDR1 gene, which were absent in susceptible isolates. In 11 patients, a genetically related resistant isolate was collected after recovering susceptible isolates, indicating in vivo acquisition of resistance. These findings allowed us to estimate the intra-host diversity of C. glabrata and propose an upper boundary of 96 SNPs for defining genetically related isolates, which can be used to assess donor-to-host transmission, nosocomial transmission, or acquired resistance.IMPORTANCEIn our study, mutations associated to azole resistance and echinocandin resistance were detected in Candida glabrata isolates using a whole-genome sequence. C. glabrata is the second most common cause of candidemia in the United States, which rapidly acquires resistance to antifungals, in vitro and in vivo. |
Correlation of wastewater surveillance data with traditional influenza surveillance measures in Cook County, Illinois, October 2022-April 2023
Faherty EAG , Yuce D , Korban C , Bemis K , Kowalski R , Gretsch S , Ramirez E , Poretsky R , Packman A , Leisman KP , Pierce M , Kittner A , Teran R , Pacilli M . Sci Total Environ 2023 912 169551 Influenza is a respiratory illness that can result in serious outcomes, particularly among persons who are immunocompromised, aged <5 years or aged >65 years. Traditional influenza surveillance approaches rely upon syndromic surveillance of emergency departments and public health reporting from clinicians and laboratories. Wastewater surveillance infrastructure developed to monitor SARS-CoV-2 is being used for influenza surveillance in the Chicago area. The goal was to evaluate timeliness and correlations between influenza virus detected through wastewater surveillance and traditional influenza surveillance measures to assess utility of wastewater surveillance for influenza at the county level. Specifically, we measured correlations between influenza virus gene copies in wastewater samples and 1) the number of intensive care unit admissions associated with a diagnosis of influenza, 2) the percentage emergency department (ED) visits for influenza-like-illness, and 3) the percentage of ED visits with influenza diagnosis at discharge(2) in Cook County. Influenza concentrations in wastewater were strongly correlated with traditional influenza surveillance measures, particularly for catchment areas serving >100,000 residents. Wastewater indicators lagged traditional influenza surveillance measures by approximately one week when analyzed in cross-correlations. Although wastewater data lagged traditional influenza surveillance measures in this analysis, it can serve as a useful surveillance tool as a complement to syndromic surveillance; it is a form of influenza surveillance that does not rely on healthcare-seeking behavior or reporting by healthcare providers. |
The health and economic impact of youth violence by injury mechanism
Parker EM , Xu L , D'Inverno A , Haileyesus T , Peterson C . Am J Prev Med 2023 INTRODUCTION: Violence is a leading cause of morbidity and mortality among U.S. youth. More information on the health and economic burden of the most frequent assault mechanisms-or, causes (e.g., firearms, cut/pierce)-can support the development and implementation of effective public health strategies. Using nationally representative data sources, this study estimated the annual health and economic burden of U.S. youth violence by injury mechanism. METHODS: In 2023, CDC's WISQARS provided the number of homicides and nonfatal assault ED visits by injury mechanism among U.S. youth aged 10-24 years in 2020, as well as the associated average economic costs of medical care, lost work, morbidity-related reduced quality of life, and value of statistical life. The Healthcare Cost and Utilization Project Nationwide Emergency Department Sample provided supplemental nonfatal assault incidence data for comprehensive reporting by injury mechanism. RESULTS: Of the $86B estimated annual economic burden of youth homicide, $78B was caused by firearms, $4B by cut/pierce injuries, and $1B by unspecified causes. Of the $36B billion estimated economic burden of nonfatal youth violence injuries, $19B was caused by struck by/against injuries, $3B by firearm injuries, and $365M by cut/pierce injuries. CONCLUSIONS: The lethality of assault injuries affecting youth when a weapon is explicitly or likely involved is high-firearms and cut/pierce injuries combined account for nearly all youth homicides compared to one-tenth of nonfatal assault injury ED visits. There are numerous evidence-based policies, programs, and practices to reduce the number of lives lost or negatively impacted by youth violence. |
Trends in incidence of carbapenem-resistant enterobacterales in 7 US sites, 2016─2020
Duffy N , Li R , Czaja CA , Johnston H , Janelle SJ , Jacob JT , Smith G , Wilson LE , Vaeth E , Lynfield R , O'Malley S , Vagnone PS , Dumyati G , Tsay R , Bulens SN , Grass JE , Pierce R , Cassidy PM , Hertzel H , Wilson C , Muleta D , Taylor J , Guh AY . Open Forum Infect Dis 2023 10 (12) ofad609 BACKGROUND: We described changes in 2016─2020 carbapenem-resistant Enterobacterales (CRE) incidence rates in 7 US sites that conduct population-based CRE surveillance. METHODS: An incident CRE case was defined as the first isolation of Escherichia coli, Klebsiella spp., or Enterobacter spp. resistant to ≥1 carbapenem from a sterile site or urine in a surveillance area resident in a 30-day period. We reviewed medical records and classified cases as hospital-onset (HO), healthcare-associated community-onset (HACO), or community-associated (CA) CRE based on healthcare exposures and location of disease onset. We calculated incidence rates using census data. We used Poisson mixed effects regression models to perform 2016─2020 trend analyses, adjusting for sex, race/ethnicity, and age. We compared adjusted incidence rates between 2016 and subsequent years using incidence rate ratios (RRs) and 95% confidence intervals (CIs). RESULTS: Of 4996 CRE cases, 62% were HACO, 21% CA, and 14% HO. The crude CRE incidence rate per 100 000 was 7.51 in 2016 and 6.08 in 2020 and was highest for HACO, followed by CA and HO. From 2016 to 2020, the adjusted overall CRE incidence rate decreased by 24% (RR, 0.76 [95% CI, .70-.83]). Significant decreases in incidence rates in 2020 were seen for HACO (RR, 0.75 [95% CI, .67-.84]) and CA (0.75 [.61-.92]) but not for HO CRE. CONCLUSIONS: Adjusted CRE incidence rates declined from 2016 to 2020, but changes over time varied by epidemiologic class. Continued surveillance and effective control strategies are needed to prevent CRE in all settings. |
Monitoring and reporting the US COVID-19 vaccination effort
Scharf LG , Adeniyi K , Augustini E , Boyd D , Corvin L , Kalach RE , Fast H , Fath J , Harris L , Henderson D , Hicks-Thomson J , Jones-Jack N , Kellerman A , Khan AN , McGarvey SS , McGehee JE , EMiner C , Moore LB , Murthy BP , Myerburg S , Neuhaus E , Nguyen K , Parker M , Pierce-Richards S , Samchok D , Shaw LK , Spoto S , Srinivasan A , Stearle C , Thomas J , Winarsky M , Zell E . Vaccine 2023 Immunizations are an important tool to reduce the burden of vaccine preventable diseases and improve population health.(1) High-quality immunization data is essential to inform clinical and public health interventions and respond to outbreaks of vaccine-preventable diseases. To track COVID-19 vaccines and vaccinations, CDC established an integrated network that included vaccination provider systems, health information exchange systems, immunization information systems, pharmacy and dialysis systems, vaccine ordering systems, electronic health records, and tools to support mass vaccination clinics. All these systems reported data to CDC's COVID-19 response system (either directly or indirectly) where it was processed, analyzed, and disseminated. This unprecedented vaccine tracking effort provided essential information for public health officials that was used to monitor the COVID-19 response and guide decisions. This paper will describe systems, processes, and policies that enabled monitoring and reporting of COVID-19 vaccination efforts and share challenges and lessons learned for future public health emergency responses. |
An antibody-free evaluation of an mRNA COVID-19 vaccine
Branham PJ , Cooper HC , Williamson YM , Najjar FN , Sutton WJH , Pierce-Ruiz CL , Barr JR , Williams TL . Biologicals 2023 85 101738 This manuscript describes the use of an analytical assay that combines transfection of mammalian cells and isotope dilution mass spectrometry (IDMS) for accurate quantification of antigen expression. Expired mRNA COVID-19 vaccine material was stored at 4 °C, room temperature (∼25 °C), and 56 °C over a period of 5 weeks. The same vaccine was also exposed to 5 freeze-thaw cycles. Every week, the spike protein antigenic expression in mammalian (BHK-21) cells was evaluated. Housekeeping proteins, β-actin and GAPDH, were simultaneously quantified to account for the variation in cell counts that occurs during maintenance and growth of cell cultures. Data show that vaccine stored at elevated temperatures results in reduced spike protein expression. Also, maintaining the vaccine in ultracold conditions or exposing the vaccine to freeze-thaw cycles had less effect on the vaccine's ability to produce the antigen in mammalian cells. We describe the use of IDMS as an antibody-free means to accurately quantify expressed protein from mammalian cells transfected with mRNA vaccine. |
State-level hypertension prevalence and control among adults in the U.S
He S , Park S , Fujii Y , Pierce SL , Kraus EM , Wall HK , Therrien NL , Jackson SL . Am J Prev Med 2023 66 (1) 46-54 INTRODUCTION: Improving hypertension control is a national priority. Electronic health record data have the potential to augment traditional surveillance systems. This study aimed to assess hypertension prevalence and control at the state level using a previously established electronic health record-based phenotype for hypertension. METHODS: Adult patients (N=11,031,368) were included from the IQVIA ambulatory electronic medical record-U.S. 2019 data set. IQVIA ambulatory electronic medical record comprises electronic health records from >100,000 providers and includes patients from every U.S. state and Washington DC. Authors compared hypertension prevalence and control estimates against those from the Behavioral Risk Factor Surveillance System 2019. Results were age-standardized and stratified by state and sociodemographic characteristics. Statistical analyses were conducted in 2022-2023. RESULTS: IQVIA ambulatory electronic medical record-U.S. patients had a median age of 55 years, and 56.7% were women. Overall age-standardized hypertension prevalence was higher in IQVIA ambulatory electronic medical record-U.S. (35.0%) than in the Behavioral Risk Factor Surveillance System (29.7%), however, state-level geographic patterns were similar, with the highest burden in the South and Appalachia. Similar patterns were also observed by sociodemographic characteristics in both data sets: hypertension prevalence was higher in older age groups (than younger), men (than women), and Black patients (than other races). Hypertension control varied widely across states: among states with >1% data coverage, control rates were lowest in Nevada (51.1%), Washington DC (52.0%), and Mississippi (55.2%); highest in Kansas (73.4%), New Jersey (72.3%), and Iowa (71.9%). CONCLUSIONS: This study provided the first-ever estimates of hypertension control for all states and Washington DC. Electronic health record-based surveillance could support hypertension prevention and control efforts at the state level. |
Leveraging electronic health records to construct a phenotype for hypertension surveillance in the United States
He S , Park S , Kuklina E , Therrien NL , Lundeen EA , Wall HK , Lampley K , Kompaniyets L , Pierce SL , Sperling L , Jackson SL . Am J Hypertens 2023 36 (12) 677-685 BACKGROUND: Hypertension is an important risk factor for cardiovascular diseases. Electronic health records (EHRs) may augment chronic disease surveillance. We aimed to develop an electronic phenotype (e-phenotype) for hypertension surveillance. METHODS: We included 11,031,368 eligible adults from the 2019 IQVIA Ambulatory Electronic Medical Records-US (AEMR-US) dataset. We identified hypertension using three criteria, alone or in combination: diagnosis codes, blood pressure (BP) measurements, and antihypertensive medications. We compared AEMR-US estimates of hypertension prevalence and control against those from the National Health and Nutrition Examination Survey (NHANES) 2017-18, which defined hypertension as BP ≥ 130/80mmHg or ≥ 1 antihypertensive medication. RESULTS: The study population had a mean (SD) age of 52.3 (6.7) years, and 56.7% were women. The selected three-criteria e-phenotype (≥1 diagnosis code, ≥2 BP measurements of ≥130/80mmHg, or ≥1 antihypertensive medication) yielded similar trends in hypertension prevalence as NHANES: 42.2% (AEMR-US) vs. 44.9% (NHANES) overall, 39.0% vs. 38.7% among women, and 46.5% vs. 50.9% among men. The pattern of age-related increase in hypertension prevalence was similar between AEMR-US and NHANES. The prevalence of hypertension control in AEMR-US was 31.5% using the three-criteria e-phenotype, which was higher than NHANES (14.5%). CONCLUSIONS: Using an EHR dataset of 11 million adults, we constructed a hypertension e-phenotype using three criteria, which can be used for surveillance of hypertension prevalence and control. |
Changes in policy supports for healthy food retailers, farmers markets, and breastfeeding among US municipalities, 2014-2021: National survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living (CBS-HEAL)
Onufrak SJ , Moore LV , Pierce SL , MacGowan CA , Galuska DA . Prev Chronic Dis 2023 20 E73 INTRODUCTION: Policies and practices at the local level can help reduce chronic disease risk by providing environments that facilitate healthy decision-making about diet. METHODS: We used data from the 2014 and 2021 National Survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living to examine prevalence among US municipalities of policies to support access to healthier food in supermarkets, convenience stores, and farmers markets, as well as policies to support breastfeeding among government employees. Chi-square tests were conducted to compare prevalence estimates from 2021 to 2014 overall and according to municipal characteristics. RESULTS: In 2021, 29% of municipalities had at least 1 policy to encourage full-service grocery stores to open stores, which was not significantly different from 31% in 2014. Prevalence of having at least 1 policy to help corner stores sell healthier foods declined significantly from 13% in 2014 to 9% in 2021. Prevalence of policies providing all local government employees who were breastfeeding breaktime and space to pump breast milk increased significantly from 25% in 2014 to 52% in 2021. The percentage of municipalities that provided 8 or more weeks of paid maternity leave for employees increased significantly from 16% in 2014 to 19% in 2021. CONCLUSION: Prevalence of supports for supermarkets, convenience stores, and farmers markets generally did not increase among US municipalities from 2014 to 2021, while some supports for breastfeeding among municipal employees increased during this time. Opportunities exist to improve municipal-level policies that support healthy eating and breastfeeding among community residents and employees. |
Probability of 5% or greater weight loss or BMI reduction to healthy weight among adults with overweight or obesity
Kompaniyets L , Freedman DS , Belay B , Pierce SL , Kraus EM , Blanck HM , Goodman AB . JAMA Netw Open 2023 6 (8) e2327358 IMPORTANCE: Information on the probability of weight loss among US adults with overweight or obesity is limited. OBJECTIVE: To assess the probability of 5% or greater weight loss, 10% or greater weight loss, body mass index (BMI) reduction to a lower BMI category, and BMI reduction to the healthy weight category among US adults with initial overweight or obesity overall and by sex and race. DESIGN, SETTING, AND PARTICIPANTS: This cohort study obtained data from the IQVIA ambulatory electronic medical records database. The sample consists of US ambulatory patients 17 years or older with at least 3 years of BMI information from January 1, 2009, to February 28, 2022. Minimum age was set at 17 years to allow for the change in BMI or weight starting at 18 years. Maximum age was censored at 70 years. EXPOSURES: Initial BMI (calculated as weight in kilograms divided by height in meters squared) category was the independent variable of interest, and the categories were as follows: lower than 18.5 (underweight), 18.5 to 24.9 (healthy weight), 25.0 to 29.9 (overweight), 30.0 to 34.9 (class 1 obesity), 35.0 to 39.9 (class 2 obesity), and 40.0 to 44.9 and 45.0 or higher (class 3 or severe obesity). MAIN OUTCOMES AND MEASURES: The 2 main outcomes were 5% or greater weight loss (ie, a ≥5% reduction in initial weight) and BMI reduction to the healthy weight category (ie, BMI of 18.5-24.9). RESULTS: The 18 461 623 individuals in the sample had a median (IQR) age of 54 (40-66) years and included 10 464 598 females (56.7%) as well as 7.7% Black and 72.3% White patients. Overall, 72.5% of patients had overweight or obesity at the initial visit. Among adults with overweight and obesity, the annual probability of 5% or greater weight loss was low (1 in 10) but increased with higher initial BMI (from 1 in 12 individuals with initial overweight to 1 in 6 individuals with initial BMI of 45 or higher). Annual probability of BMI reduction to the healthy weight category ranged from 1 in 19 individuals with initial overweight to 1 in 1667 individuals with initial BMI of 45 or higher. Both outcomes were generally more likely among females than males and were highest among White females. Over the 3 to 14 years of follow-up, 33.4% of persons with overweight and 41.8% of persons with obesity lost 5% or greater of their initial weight. At the same time, 23.2% of persons with overweight and 2.0% of persons with obesity reduced BMI to the healthy weight category. CONCLUSIONS AND RELEVANCE: Results of this cohort study indicate that the annual probability of 5% or greater weight loss was low (1 in 10) despite the known benefits of clinically meaningful weight loss, but 5% or greater weight loss was more likely than BMI reduction to the healthy weight category, especially for patients with the highest initial BMIs. Clinicians and public health efforts can focus on messaging and referrals to interventions that are aimed at clinically meaningful weight loss (ie, ≥5%) for adults at any level of excess weight. |
The contribution of parent-to-offspring transmission of telomeres to the heritability of telomere length in humans (preprint)
Delgado DA , Zhang C , Demanelis K , Chen LS , Gao J , Roy S , Shinkle J , Sabarinathan M , Argos M , Tong L , Ahmed A , Islam T , Rakibuz-Zaman M , Sarwar G , Shahriar H , Rahman M , Yunus M , Doherty JA , Jasmine F , Kibriya MG , Ahsan H , Pierce BL . bioRxiv 2018 276030 Leukocyte telomere length (LTL) is a heritable trait with two potential sources of heritability (h2): inherited variation in non-telomeric regions (e.g., SNPs that influence telomere maintenance) and variability in the lengths of telomeres in gametes that produce offspring zygotes (i.e., “direct” inheritance). Prior studies of LTL h2 have not attempted to disentangle these two sources. Here, we use a novel approach for detecting the direct inheritance of telomeres by studying the association between identity-by-descent (IBD) sharing at chromosome ends and phenotypic similarity in LTL. We measured genome-wide SNPs and LTL for a sample of 5,069 Bangladeshi adults with substantial relatedness. For each of the 7,254 relative pairs identified, we used SNPs near the telomeres to estimate the number of chromosome ends shared IBD, a proxy for the number of telomeres shared IBD (Tshared). We then estimated the association between Tshared and the squared pairwise difference in LTL ((ΔLTL)2) within various classes of relatives (siblings, avuncular, cousins, and distant), adjusting for overall genetic relatedness (ϕ). The association between Tshared and (ΔLTL)2 was inverse among all relative pair types. In a meta-analysis including all relative pairs (ϕ >0.05), the association between Tshared and (ΔLTL)2 (P=0.002) was stronger than the association between ϕ and (ΔLTL)2 (P=0.45). Our results provide strong evidence that telomere length (TL) in parental germ cells impacts TL in offspring cells and contributes to LTL h2 despite telomere “reprogramming” during embryonic development. Applying our method to larger studies will enable robust estimation of LTL h2 attributable to direction transmission. |
COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support (preprint)
Shea K , Borchering RK , Probert WJM , Howerton E , Bogich TL , Li S , van Panhuis WG , Viboud C , Aguás R , Belov A , Bhargava SH , Cavany S , Chang JC , Chen C , Chen J , Chen S , Chen Y , Childs LM , Chow CC , Crooker I , Valle SYD , España G , Fairchild G , Gerkin RC , Germann TC , Gu Q , Guan X , Guo L , Hart GR , Hladish TJ , Hupert N , Janies D , Kerr CC , Klein DJ , Klein E , Lin G , Manore C , Meyers LA , Mittler J , Mu K , Núñez RC , Oidtman R , Pasco R , Piontti APY , Paul R , Pearson CAB , Perdomo DR , Perkins TA , Pierce K , Pillai AN , Rael RC , Rosenfeld K , Ross CW , Spencer JA , Stoltzfus AB , Toh KB , Vattikuti S , Vespignani A , Wang L , White L , Xu P , Yang Y , Yogurtcu ON , Zhang W , Zhao Y , Zou D , Ferrari M , Pannell D , Tildesley M , Seifarth J , Johnson E , Biggerstaff M , Johansson M , Slayton RB , Levander J , Stazer J , Salerno J , Runge MC . medRxiv 2020 Policymakers make decisions about COVID-19 management in the face of considerable uncertainty. We convened multiple modeling teams to evaluate reopening strategies for a mid-sized county in the United States, in a novel process designed to fully express scientific uncertainty while reducing linguistic uncertainty and cognitive biases. For the scenarios considered, the consensus from 17 distinct models was that a second outbreak will occur within 6 months of reopening, unless schools and non-essential workplaces remain closed. Up to half the population could be infected with full workplace reopening; non-essential business closures reduced median cumulative infections by 82%. Intermediate reopening interventions identified no win-win situations; there was a trade-off between public health outcomes and duration of workplace closures. Aggregate results captured twice the uncertainty of individual models, providing a more complete expression of risk for decision-making purposes. |
Residential social vulnerability among healthcare personnel with and without severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection in Five US states, May-December 2020
Zlotorzynska M , Chea N , Eure T , Alkis Ramirez R , Blazek GT , Czaja CA , Johnston H , Barter D , Kellogg M , Emanuel C , Lynfield R , Fell A , Lim S , Lovett S , Phipps EC , Shrum Davis S , Sievers M , Dumyati G , Concannon C , Myers C , McCullough K , Woods A , Hurley C , Licherdell E , Pierce R , Ocampo VLS , Hall E , Magill SS , Grigg CT . Infect Control Hosp Epidemiol 2023 1-7 OBJECTIVE: To characterize residential social vulnerability among healthcare personnel (HCP) and evaluate its association with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection. DESIGN: Case-control study. SETTING: This study analyzed data collected in May-December 2020 through sentinel and population-based surveillance in healthcare facilities in Colorado, Minnesota, New Mexico, New York, and Oregon. PARTICIPANTS: Data from 2,168 HCP (1,571 cases and 597 controls from the same facilities) were analyzed. METHODS: HCP residential addresses were linked to the social vulnerability index (SVI) at the census tract level, which represents a ranking of community vulnerability to emergencies based on 15 US Census variables. The primary outcome was SARS-CoV-2 infection, confirmed by positive antigen or real-time reverse-transcriptase- polymerase chain reaction (RT-PCR) test on nasopharyngeal swab. Significant differences by SVI in participant characteristics were assessed using the Fisher exact test. Adjusted odds ratios (aOR) with 95% confidence intervals (CIs) for associations between case status and SVI, controlling for HCP role and patient care activities, were estimated using logistic regression. RESULTS: Significantly higher proportions of certified nursing assistants (48.0%) and medical assistants (44.1%) resided in high SVI census tracts, compared to registered nurses (15.9%) and physicians (11.6%). HCP cases were more likely than controls to live in high SVI census tracts (aOR, 1.76; 95% CI, 1.37-2.26). CONCLUSIONS: These findings suggest that residing in more socially vulnerable census tracts may be associated with SARS-CoV-2 infection risk among HCP and that residential vulnerability differs by HCP role. Efforts to safeguard the US healthcare workforce and advance health equity should address the social determinants that drive racial, ethnic, and socioeconomic health disparities. |
Body mass index and associated medical expenditures in the US among privately insured individuals aged 2 to 19 years in 2018
Kumar A , Kompaniyets L , Belay B , Pierce SL , Grosse SD , Goodman AB . JAMA Pediatr 2023 IMPORTANCE: Nearly 40% of US youth aged 2 to 19 years do not have a body mass index (BMI) in the healthy weight category. However, there are no recent estimates for BMI-associated expenditures using clinical or claims data. OBJECTIVE: To estimate medical expenditures among US youth across all BMI categories along with sex and age groups. DESIGN, SETTING, PARTICIPANTS: This cross-sectional study used IQVIA's ambulatory electronic medical records (AEMR) data set linked with IQVIA's PharMetrics Plus Claims database from January 2018 through December 2018. Analysis was performed from March 25, 2022, through June 20, 2022. It included a convenience sample of a geographically diverse patient population from AEMR and PharMetrics Plus. The study sample included privately insured individuals with a BMI measurement in 2018 and excluded patients with pregnancy-related visits. EXPOSURE: BMI categories. MAIN OUTCOMES AND MEASURES: Total medical expenditures were estimated using generalized linear model regression with γ distribution and log-link function. For out-of-pocket (OOP) expenditures, a 2-part model was used that included logistic regression to estimate the probability of positive expenditures followed by generalized linear model. Estimates were shown with and without accounting for sex, race and ethnicity, payer type, geographic region, age interacted with sex and BMI categories, and confounding conditions. RESULTS: The sample included 20 876 individuals aged 2 to 19 years; 104 066 were male (50.5%) and the median age was 12 years. Compared with those with healthy weight, total and OOP expenditures were higher for all other BMI categories. Differences in total expenditures were highest for those with severe obesity ($909; 95% CI, $600-$1218) followed by underweight ($671; 95% CI, $286-$1055) compared with healthy weight. Differences in OOP expenditures were highest for those with severe obesity ($121; 95% CI, $86-$155) followed by underweight ($117; 95% CI, $78-$157) compared with healthy weight. Having underweight was associated with higher total expenditures at ages 2 to 5 years and 6 to 11 years by $679 (95% CI, $228-$1129) and $1166 (95% CI, $632-$1700), respectively; having severe obesity was associated with higher total expenditures at ages 2 to 5 years, 6 to 11 years, and 12 to 17 years by $1035 (95% CI, $208-$1863), $821 (95% CI, $414-$1227), and $1088 (95% CI, $594-$1582), respectively. CONCLUSIONS AND RELEVANCE: The study team found medical expenditures to be higher for all BMI categories when compared with those with healthy weight. These findings may indicate potential economic value of interventions or treatments aimed at reducing BMI-associated health risks. |
Quantification of SARS-CoV-2 spike protein expression from mRNA vaccines using isotope dilution mass spectrometry
Sutton WJH , Branham PJ , Williamson YM , Cooper HC , Najjar FN , Pierce-Ruiz CL , Barr JR , Williams TL . Vaccine 2023 The advent of mRNA vaccine technology has been vital in rapidly creating and manufacturing COVID-19 vaccines at an industrial scale. To continue to accelerate this leading vaccine technology, an accurate method is needed to quantify antigens produced by the transfection of cells with a mRNA vaccine product. This will allow monitoring of protein expression during mRNA vaccine development and provide information on how changes to vaccine components affects the expression of the desired antigen. Developing novel approaches that allow for high-throughput screening of vaccines to detect changes in antigen production in cell culture prior to in vivo studies could aid vaccine development. We have developed and optimized an isotope dilution mass spectrometry method to detect and quantify the spike protein expressed after transfection of baby hamster kidney cells with expired COVID-19 mRNA vaccines. Five peptides of the spike protein are simultaneously quantified and provide assurance that protein digestion in the region of the target peptides is complete since results between the five peptides had a relative standard deviation of less than 15 %. In addition, two housekeeping proteins, actin and GAPDH, are quantified in the same analytical run to account for any variation in cell growth within the experiment. IDMS allows a precise and accurate means to quantify protein expression by mammalian cells transfected with an mRNA vaccine. |
Epidemiology of sepsis in US children and young adults
Magill SS , Sapiano MRP , Gokhale R , Nadle J , Johnston H , Brousseau G , Maloney M , Ray SM , Wilson LE , Perlmutter R , Lynfield R , DeSilva M , Sievers M , Irizarry L , Dumyati G , Pierce R , Zhang A , Kainer M , Fiore AE , Dantes R , Epstein L . Open Forum Infect Dis 2023 10 (5) ofad218 BACKGROUND: Most multicenter studies of US pediatric sepsis epidemiology use administrative data or focus on pediatric intensive care units. We conducted a detailed medical record review to describe sepsis epidemiology in children and young adults. METHODS: In a convenience sample of hospitals in 10 states, patients aged 30 days-21 years, discharged during 1 October 2014-30 September 2015, with explicit diagnosis codes for severe sepsis or septic shock, were included. Medical records were reviewed for patients with documentation of sepsis, septic shock, or similar terms. We analyzed overall and age group-specific patient characteristics. RESULTS: Of 736 patients in 26 hospitals, 442 (60.1%) had underlying conditions. Most patients (613 [83.3%]) had community-onset sepsis, although most community-onset sepsis was healthcare associated (344 [56.1%]). Two hundred forty-one patients (32.7%) had outpatient visits 1-7 days before sepsis hospitalization, of whom 125 (51.9%) received antimicrobials ≤30 days before sepsis hospitalization. Age group-related differences included common underlying conditions (<5 years: prematurity vs 5-12 years: chronic pulmonary disease vs 13-21 years: chronic immunocompromise); medical device presence ≤30 days before sepsis hospitalization (1-4 years: 46.9% vs 30 days-11 months: 23.3%); percentage with hospital-onset sepsis (<5 years: 19.6% vs ≥5 years: 12.0%); and percentage with sepsis-associated pathogens (30 days-11 months: 65.6% vs 13-21 years: 49.3%). CONCLUSIONS: Our data suggest potential opportunities to raise sepsis awareness among outpatient providers to facilitate prevention, early recognition, and intervention in some patients. Consideration of age-specific differences may be important as approaches are developed to improve sepsis prevention, risk prediction, recognition, and management. |
Multiple models for outbreak decision support in the face of uncertainty
Shea K , Borchering RK , Probert WJM , Howerton E , Bogich TL , Li SL , van Panhuis WG , Viboud C , Aguás R , Belov AA , Bhargava SH , Cavany SM , Chang JC , Chen C , Chen J , Chen S , Chen Y , Childs LM , Chow CC , Crooker I , Del Valle SY , España G , Fairchild G , Gerkin RC , Germann TC , Gu Q , Guan X , Guo L , Hart GR , Hladish TJ , Hupert N , Janies D , Kerr CC , Klein DJ , Klein EY , Lin G , Manore C , Meyers LA , Mittler JE , Mu K , Núñez RC , Oidtman RJ , Pasco R , Pastore YPiontti A , Paul R , Pearson CAB , Perdomo DR , Perkins TA , Pierce K , Pillai AN , Rael RC , Rosenfeld K , Ross CW , Spencer JA , Stoltzfus AB , Toh KB , Vattikuti S , Vespignani A , Wang L , White LJ , Xu P , Yang Y , Yogurtcu ON , Zhang W , Zhao Y , Zou D , Ferrari MJ , Pannell D , Tildesley MJ , Seifarth J , Johnson E , Biggerstaff M , Johansson MA , Slayton RB , Levander JD , Stazer J , Kerr J , Runge MC . Proc Natl Acad Sci U S A 2023 120 (18) e2207537120 Policymakers must make management decisions despite incomplete knowledge and conflicting model projections. Little guidance exists for the rapid, representative, and unbiased collection of policy-relevant scientific input from independent modeling teams. Integrating approaches from decision analysis, expert judgment, and model aggregation, we convened multiple modeling teams to evaluate COVID-19 reopening strategies for a mid-sized United States county early in the pandemic. Projections from seventeen distinct models were inconsistent in magnitude but highly consistent in ranking interventions. The 6-mo-ahead aggregate projections were well in line with observed outbreaks in mid-sized US counties. The aggregate results showed that up to half the population could be infected with full workplace reopening, while workplace restrictions reduced median cumulative infections by 82%. Rankings of interventions were consistent across public health objectives, but there was a strong trade-off between public health outcomes and duration of workplace closures, and no win-win intermediate reopening strategies were identified. Between-model variation was high; the aggregate results thus provide valuable risk quantification for decision making. This approach can be applied to the evaluation of management interventions in any setting where models are used to inform decision making. This case study demonstrated the utility of our approach and was one of several multimodel efforts that laid the groundwork for the COVID-19 Scenario Modeling Hub, which has provided multiple rounds of real-time scenario projections for situational awareness and decision making to the Centers for Disease Control and Prevention since December 2020. |
Initial public health response and interim clinical guidance for the 2019 novel coronavirus outbreak - United States, December 31, 2019-February 4, 2020.
Patel A , Jernigan DB , 2019-nCOV CDC Response Team , Abdirizak Fatuma , Abedi Glen , Aggarwal Sharad , Albina Denise , Allen Elizabeth , Andersen Lauren , Anderson Jade , Anderson Megan , Anderson Tara , Anderson Kayla , Bardossy Ana Cecilia , Barry Vaughn , Beer Karlyn , Bell Michael , Berger Sherri , Bertulfo Joseph , Biggs Holly , Bornemann Jennifer , Bornstein Josh , Bower Willie , Bresee Joseph , Brown Clive , Budd Alicia , Buigut Jennifer , Burke Stephen , Burke Rachel , Burns Erin , Butler Jay , Cantrell Russell , Cardemil Cristina , Cates Jordan , Cetron Marty , Chatham-Stephens Kevin , Chatham-Stevens Kevin , Chea Nora , Christensen Bryan , Chu Victoria , Clarke Kevin , Cleveland Angela , Cohen Nicole , Cohen Max , Cohn Amanda , Collins Jennifer , Conners Erin , Curns Aaron , Dahl Rebecca , Daley Walter , Dasari Vishal , Davlantes Elizabeth , Dawson Patrick , Delaney Lisa , Donahue Matthew , Dowell Chad , Dyal Jonathan , Edens William , Eidex Rachel , Epstein Lauren , Evans Mary , Fagan Ryan , Farris Kevin , Feldstein Leora , Fox LeAnne , Frank Mark , Freeman Brandi , Fry Alicia , Fuller James , Galang Romeo , Gerber Sue , Gokhale Runa , Goldstein Sue , Gorman Sue , Gregg William , Greim William , Grube Steven , Hall Aron , Haynes Amber , Hill Sherrasa , Hornsby-Myers Jennifer , Hunter Jennifer , Ionta Christopher , Isenhour Cheryl , Jacobs Max , Jacobs Slifka Kara , Jernigan Daniel , Jhung Michael , Jones-Wormley Jamie , Kambhampati Anita , Kamili Shifaq , Kennedy Pamela , Kent Charlotte , Killerby Marie , Kim Lindsay , Kirking Hannah , Koonin Lisa , Koppaka Ram , Kosmos Christine , Kuhar David , Kuhnert-Tallman Wendi , Kujawski Stephanie , Kumar Archana , Landon Alexander , Lee Leslie , Leung Jessica , Lindstrom Stephen , Link-Gelles Ruth , Lively Joana , Lu Xiaoyan , Lynch Brian , Malapati Lakshmi , Mandel Samantha , Manns Brian , Marano Nina , Marlow Mariel , Marston Barbara , McClung Nancy , McClure Liz , McDonald Emily , McGovern Oliva , Messonnier Nancy , Midgley Claire , Moulia Danielle , Murray Janna , Noelte Kate , Noonan-Smith Michelle , Nordlund Kristen , Norton Emily , Oliver Sara , Pallansch Mark , Parashar Umesh , Patel Anita , Patel Manisha , Pettrone Kristen , Pierce Taran , Pietz Harald , Pillai Satish , Radonovich Lewis , Reagan-Steiner Sarah , Reel Amy , Reese Heather , Rha Brian , Ricks Philip , Rolfes Melissa , Roohi Shahrokh , Roper Lauren , Rotz Lisa , Routh Janell , Sakthivel Senthil Kumar Sarmiento Luisa , Schindelar Jessica , Schneider Eileen , Schuchat Anne , Scott Sarah , Shetty Varun , Shockey Caitlin , Shugart Jill , Stenger Mark , Stuckey Matthew , Sunshine Brittany , Sykes Tamara , Trapp Jonathan , Uyeki Timothy , Vahey Grace , Valderrama Amy , Villanueva Julie , Walker Tunicia , Wallace Megan , Wang Lijuan , Watson John , Weber Angie , Weinbaum Cindy , Weldon William , Westnedge Caroline , Whitaker Brett , Whitaker Michael , Williams Alcia , Williams Holly , Willams Ian , Wong Karen , Xie Amy , Yousef Anna . Am J Transplant 2020 20 (3) 889-895 This article summarizes what is currently known about the 2019 novel coronavirus and offers interim guidance. |
Epidemiology of pulmonary and extrapulmonary nontuberculous mycobacteria infections in four U.S. Emerging Infections Program sites: A six-month pilot
Grigg C , Jackson KA , Barter D , Czaja CA , Johnston H , Lynfield R , Snippes Vagnone P , Tourdot L , Spina N , Dumyati G , Cassidy PM , Pierce R , Henkle E , Prevots DR , Salfinger M , Winthrop KL , Charles Toney N , Magill SS . Clin Infect Dis 2023 77 (4) 629-637 BACKGROUND: Nontuberculous mycobacteria (NTM) cause pulmonary (PNTM) and extrapulmonary (ENTM) disease. NTM infections are difficult to diagnose and treat, and exposures occur in healthcare and community settings. In the United States, NTM epidemiology has been described largely through analyses of microbiology data reported to health departments, and electronic health record and administrative data. We describe findings from a multi-site pilot of active, laboratory- and population-based NTM surveillance. METHODS: CDC's Emerging Infections Program conducted NTM surveillance in 4 sites (Colorado [5 counties], Minnesota [2 counties], New York [2 counties], and Oregon [3 counties PNTM; statewide ENTM]) October 1, 2019-March 31, 2020. PNTM cases were defined using published microbiologic criteria (NTM detection in respiratory cultures or tissue). ENTM cases required NTM isolation from a non-pulmonary specimen, excluding stool or rectal swabs. Patient data were collected via medical record review. RESULTS: Overall, 299 NTM cases were reported (231 [77%] PNTM); Mycobacterium avium complex was the most common species group. Annualized prevalence was 7.5/100,000 population (PNTM 6.1/100,000; ENTM 1.4/100,000). Most patients had signs or symptoms in the 14 days before positive specimen collection (62 [91.2%] ENTM, 201 [87.0%] PNTM). Of PNTM cases, 145 (62.8%) were female, and 168 (72.7%) had underlying chronic lung disease. Among ENTM cases, 29 (42.6%) were female, 21 (30.9%) did not have documented underlying conditions, and 26 (38.2%) had infection at the site of a medical device or procedure. CONCLUSIONS: Active, population based NTM surveillance will provide data to monitor the burden of disease and characterize affected populations to inform interventions. |
Assessing pathogen transmission opportunities: Variation in nursing home staff-resident interactions
Nelson Chang NC , Leecaster M , Fridkin S , Dube W , Katz M , Polgreen P , Roghmann MC , Khader K , Li L , Dumyati G , Tsay R , Lynfield R , Mahoehney JP , Nadle J , Hutson J , Pierce R , Zhang A , Wilson C , Haroldsen C , Mulvey D , Reddy SC , Stone ND , Slayton RB , Thompson ND , Stratford K , Samore M , Visnovsky LD . J Am Med Dir Assoc 2023 24 (5) 735 e1-735 e9 OBJECTIVES: The Centers for Disease Control and Prevention (CDC) recommends implementing Enhanced Barrier Precautions (EBP) for all nursing home (NH) residents known to be colonized with targeted multidrug-resistant organisms (MDROs), wounds, or medical devices. Differences in health care personnel (HCP) and resident interactions between units may affect risk of acquiring and transmitting MDROs, affecting EBP implementation. We studied HCP-resident interactions across a variety of NHs to characterize MDRO transmission opportunities. DESIGN: 2 cross-sectional visits. SETTING AND PARTICIPANTS: Four CDC Epicenter sites and CDC Emerging Infection Program sites in 7 states recruited NHs with a mix of unit care types (≥30 beds or ≥2 units). HCP were observed providing resident care. METHODS: Room-based observations and HCP interviews assessed HCP-resident interactions, care type provided, and equipment use. Observations and interviews were conducted for 7-8 hours in 3-6-month intervals per unit. Chart reviews collected deidentified resident demographics and MDRO risk factors (eg, indwelling devices, pressure injuries, and antibiotic use). RESULTS: We recruited 25 NHs (49 units) with no loss to follow-up, conducted 2540 room-based observations (total duration: 405 hours), and 924 HCP interviews. HCP averaged 2.5 interactions per resident per hour (long-term care units) to 3.4 per resident per hour (ventilator care units). Nurses provided care to more residents (n = 12) than certified nursing assistants (CNAs) and respiratory therapists (RTs) (CNA: 9.8 and RT: 9) but nurses performed significantly fewer task types per interaction compared to CNAs (incidence rate ratio (IRR): 0.61, P < .05). Short-stay (IRR: 0.89) and ventilator-capable (IRR: 0.94) units had less varied care compared with long-term care units (P < .05), although HCP visited residents in these units at similar rates. CONCLUSIONS AND IMPLICATIONS: Resident-HCP interaction rates are similar across NH unit types, differing primarily in types of care provided. Current and future interventions such as EBP, care bundling, or targeted infection prevention education should consider unit-specific HCP-resident interaction patterns. |
Prevalence and characteristics of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2020
Maenner MJ , Warren Z , Williams AR , Amoakohene E , Bakian AV , Bilder DA , Durkin MS , Fitzgerald RT , Furnier SM , Hughes MM , Ladd-Acosta CM , McArthur D , Pas ET , Salinas A , Vehorn A , Williams S , Esler A , Grzybowski A , Hall-Lande J , Nguyen RHN , Pierce K , Zahorodny W , Hudson A , Hallas L , Mancilla KC , Patrick M , Shenouda J , Sidwell K , DiRienzo M , Gutierrez J , Spivey MH , Lopez M , Pettygrove S , Schwenk YD , Washington A , Shaw KA . MMWR Surveill Summ 2023 72 (2) 1-14 PROBLEM/CONDITION: Autism spectrum disorder (ASD). PERIOD COVERED: 2020. DESCRIPTION OF SYSTEM: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years. In 2020, there were 11 ADDM Network sites across the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. A child met the case definition if their record documented 1) an ASD diagnostic statement in an evaluation, 2) a classification of ASD in special education, or 3) an ASD International Classification of Diseases (ICD) code. RESULTS: For 2020, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 23.1 in Maryland to 44.9 in California. The overall ASD prevalence was 27.6 per 1,000 (one in 36) children aged 8 years and was 3.8 times as prevalent among boys as among girls (43.0 versus 11.4). Overall, ASD prevalence was lower among non-Hispanic White children (24.3) and children of two or more races (22.9) than among non-Hispanic Black or African American (Black), Hispanic, and non-Hispanic Asian or Pacific Islander (A/PI) children (29.3, 31.6, and 33.4 respectively). ASD prevalence among non-Hispanic American Indian or Alaska Native (AI/AN) children (26.5) was similar to that of other racial and ethnic groups. ASD prevalence was associated with lower household income at three sites, with no association at the other sites.Across sites, the ASD prevalence per 1,000 children aged 8 years based exclusively on documented ASD diagnostic statements was 20.6 (range = 17.1 in Wisconsin to 35.4 in California). Of the 6,245 children who met the ASD case definition, 74.7% had a documented diagnostic statement of ASD, 65.2% had a documented ASD special education classification, 71.6% had a documented ASD ICD code, and 37.4% had all three types of ASD indicators. The median age of earliest known ASD diagnosis was 49 months and ranged from 36 months in California to 59 months in Minnesota.Among the 4,165 (66.7%) children with ASD with information on cognitive ability, 37.9% were classified as having an intellectual disability. Intellectual disability was present among 50.8% of Black, 41.5% of A/PI, 37.8% of two or more races, 34.9% of Hispanic, 34.8% of AI/AN, and 31.8% of White children with ASD. Overall, children with intellectual disability had earlier median ages of ASD diagnosis (43 months) than those without intellectual disability (53 months). INTERPRETATION: For 2020, one in 36 children aged 8 years (approximately 4% of boys and 1% of girls) was estimated to have ASD. These estimates are higher than previous ADDM Network estimates during 2000-2018. For the first time among children aged 8 years, the prevalence of ASD was lower among White children than among other racial and ethnic groups, reversing the direction of racial and ethnic differences in ASD prevalence observed in the past. Black children with ASD were still more likely than White children with ASD to have a co-occurring intellectual disability. PUBLIC HEALTH ACTION: The continued increase among children identified with ASD, particularly among non-White children and girls, highlights the need for enhanced infrastructure to provide equitable diagnostic, treatment, and support services for all children with ASD. Similar to previous reporting periods, findings varied considerably across network sites, indicating the need for additional research to understand the nature of such differences and potentially apply successful identification strategies across states. |
Early identification of autism spectrum disorder among children aged 4 years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020
Shaw KA , Bilder DA , McArthur D , Williams AR , Amoakohene E , Bakian AV , Durkin MS , Fitzgerald RT , Furnier SM , Hughes MM , Pas ET , Salinas A , Warren Z , Williams S , Esler A , Grzybowski A , Ladd-Acosta CM , Patrick M , Zahorodny W , Green KK , Hall-Lande J , Lopez M , Mancilla KC , Nguyen RHN , Pierce K , Schwenk YD , Shenouda J , Sidwell K , Vehorn A , DiRienzo M , Gutierrez J , Hallas L , Hudson A , Spivey MH , Pettygrove S , Washington A , Maenner MJ . MMWR Surveill Summ 2023 72 (1) 1-15 PROBLEM/CONDITION: Autism spectrum disorder (ASD). PERIOD COVERED: 2020. DESCRIPTION OF SYSTEM: The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates prevalence and characteristics of ASD and monitors timing of ASD identification among children aged 4 and 8 years. In 2020, a total of 11 sites (located in Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin) conducted surveillance of ASD among children aged 4 and 8 years and suspected ASD among children aged 4 years. Surveillance included children who lived in the surveillance area at any time during 2020. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement in an evaluation, 2) a special education classification of autism (eligibility), or 3) an ASD International Classification of Diseases (ICD) code (revisions 9 or 10). Children aged 4 years were classified as having suspected ASD if they did not meet the case definition for ASD but had a documented qualified professional's statement indicating a suspicion of ASD. This report focuses on children aged 4 years in 2020 compared with children aged 8 years in 2020. RESULTS: For 2020, ASD prevalence among children aged 4 years varied across sites, from 12.7 per 1,000 children in Utah to 46.4 in California. The overall prevalence was 21.5 and was higher among boys than girls at every site. Compared with non-Hispanic White children, ASD prevalence was 1.8 times as high among Hispanic, 1.6 times as high among non-Hispanic Black, 1.4 times as high among Asian or Pacific Islander, and 1.2 times as high among multiracial children. Among the 58.3% of children aged 4 years with ASD and information on intellectual ability, 48.5% had an IQ score of ≤70 on their most recent IQ test or an examiner's statement of intellectual disability. Among children with a documented developmental evaluation, 78.0% were evaluated by age 36 months. Children aged 4 years had a higher cumulative incidence of ASD diagnosis or eligibility by age 48 months compared with children aged 8 years at all sites; risk ratios ranged from 1.3 in New Jersey and Utah to 2.0 in Tennessee. In the 6 months before the March 2020 COVID-19 pandemic declaration by the World Health Organization, there were 1,593 more evaluations and 1.89 more ASD identifications per 1,000 children aged 4 years than children aged 8 years received 4 years earlier. After the COVID-19 pandemic declaration, this pattern reversed: in the 6 months after pandemic onset, there were 217 fewer evaluations and 0.26 fewer identifications per 1,000 children aged 4 years than children aged 8 years received 4 years earlier. Patterns of evaluation and identification varied among sites, but there was not recovery to pre-COVID-19 pandemic levels by the end of 2020 at most sites or overall. For 2020, prevalence of suspected ASD ranged from 0.5 (California) to 10.4 (Arkansas) per 1,000 children aged 4 years, with an increase from 2018 at five sites (Arizona, Arkansas, Maryland, New Jersey, and Utah). Demographic and cognitive characteristics of children aged 4 years with suspected ASD were similar to children aged 4 years with ASD. INTERPRETATION: A wide range of prevalence of ASD by age 4 years was observed, suggesting differences in early ASD identification practices among communities. At all sites, cumulative incidence of ASD by age 48 months among children aged 4 years was higher compared with children aged 8 years in 2020, indicating improvements in early identification of ASD. Higher numbers of evaluations and rates of identification were evident among children aged 4 years until the COVID-19 pandemic onset in 2020. Sustained lower levels of ASD evaluations and identification seen at a majority of sites after the pandemic onset could indicate disruptions in typical practices in evaluations and identification for health service providers and schools through the end of 2020. Sites with more recovery could indicate successful strategies to mitigate service interruption, such as pivoting to telehealth approaches for evaluation. PUBLIC HEALTH ACTION: From 2016 through February of 2020, ASD evaluation and identification among the cohort of children aged 4 years was outpacing ASD evaluation and identification 4 years earlier (from 2012 until March 2016) among the cohort of children aged 8 years in 2020 . From 2016 to March 2020, ASD evaluation and identification among the cohort of children aged 4 years was outpacing that among children aged 8 years in 2020 from 2012 until March 2016. The disruptions in evaluation that coincided with the start of the COVID-19 pandemic and the increase in prevalence of suspected ASD in 2020 could have led to delays in ASD identification and interventions. Communities could evaluate the impact of these disruptions as children in affected cohorts age and consider strategies to mitigate service disruptions caused by future public health emergencies. |
Examination of prediabetes and diabetes testing among US pediatric patients with overweight or obesity using an electronic health record
Belay B , Kraus EM , Porter R , Pierce SL , Kompaniyets L , Lundeen EA , Imperatore G , Blanck HM , Goodman AB . Child Obes 2023 Background: Youth with excess weight are at risk of developing type 2 diabetes (T2DM). Guidelines recommend screening for prediabetes and/or T2DM after 10 years of age or after puberty in youth with excess weight who have ≥1 risk factor(s) for T2DM. Electronic health records (EHRs) offer an opportunity to study the use of tests to detect diabetes in youth. Methods: We examined the frequency of (1) diabetes testing and (2) elevated test results among youth aged 10-19 years with at least one BMI measurement in an EHR from 2019 to 2021. We examined the presence of hemoglobin A1C (A1C), fasting plasma glucose (FPG), or oral glucose tolerance test (2-hour plasma glucose [2-hrPG]) results and, among those tested, the frequency of elevated values (A1C ≥6.5%, FPG ≥126 mg/dL, or 2-hrPG ≥200 mg/dL). Patients with pre-existing diabetes (n = 6793) were excluded. Results: Among 1,024,743 patients, 17% had overweight, 21% had obesity, including 8% with severe obesity. Among patients with excess weight, 10% had ≥1 glucose test result. Among those tested, elevated values were more common in patients with severe obesity (27%) and obesity (22%) than in those with healthy weight (8%), and among Black youth (30%) than White youth (13%). Among patients with excess weight, >80% of elevated values fell in the prediabetes range. Conclusions: In youth with excess weight, the use of laboratory tests for prediabetes and T2DM was infrequent. Among youth with test results, elevated FPG, 2hrPG, or A1C levels were most common in those with severe obesity and Black youth. |
Using real-world electronic health record data to assess chronic disease screening in children: A case study of non-alcoholic fatty liver disease
Kraus EM , Pierce SL , Porter R , Kompaniyets L , Vos MB , Blanck HM , King RJ , Goodman AB . Child Obes 2023 20 (1) 41-47 Background: Data sources for assessing pediatric chronic diseases and associated screening practices are rare. One example is non-alcoholic fatty liver disease (NAFLD), a common chronic liver disease prevalent among children with overweight and obesity. If undetected, NAFLD can cause liver damage. Guidelines recommend screening for NAFLD using alanine aminotransferase (ALT) tests in children ≥9 years with obesity or those with overweight and cardiometabolic risk factors. This study explores how real-world data from electronic health records (EHRs) can be used to study NAFLD screening and ALT elevation. Research Design: Using IQVIA's Ambulatory Electronic Medical Record database, we studied patients 2-19 years of age with body mass index ≥85th percentile. Using a 3-year observation period (January 1, 2019 to December 31, 2021), ALT results were extracted and assessed for elevation (≥1 ALT result ≥22.1 U/L for females and ≥25.8 U/L for males). Patients with liver disease (including NAFLD) or receiving hepatotoxic medications during 2017-2018 were excluded. Results: Among 919,203 patients 9-19 years of age, only 13% had ≥1 ALT result, including 14% of patients with obesity and 17% of patients with severe obesity. ALT results were identified for 5% of patients 2-8 years of age. Of patients with ALT results, 34% of patients 2-8 years of age and 38% of patients 9-19 years of age had ALT elevation. Males 9-19 years of age had a higher prevalence of ALT elevation than females (49% vs. 29%). Conclusions: EHR data offered novel insights into NAFLD screening: despite screening recommendations, ALT results among children with excess weight were infrequent. Among those with ALT results, ALT elevation was common, underscoring the importance of screening for early disease detection. |
WISQARS cost of injury for public health research and practice
Peterson C , Rice KL , Williams DD , Thomas R . Inj Prev 2022 29 (2) 150-157 AIM: Since 2011 the Centers for Disease Control and Prevention's Web-based Injury Statistics Query and Reporting System (WISQARS) has demonstrated per-injury average and population total medical and non-medical costs of injuries by type (such as unintentional cut/pierce) in the USA. This article describes the impact of data and methods changes in the newest version of WISQARS Cost of Injury. METHODS: Data sources and methods were compared for the legacy version of the WISQARS Cost of Injury website (available 2011-2021; most recent prior update was published in 2014 with 2010 injury incidence and costs) and the new version (published 2021; 2015-present injury incidence and costs). Cost data sources were updated for the new website and the basis for medical costs and non-fatal injury work loss costs changed from mathematical modelling (combined estimates from multiple data sources) in the legacy website to statistical modelling of actual injury-related medical and work loss financial transactions in the new website. Monetary valuation of non-medical costs for injury deaths changed from lost employment income and household work in the legacy website to value of statistical life. Quality of life loss costs were added for non-fatal injuries. Per-injury average medical and non-medical costs by injury type (mechanism and intent) and total population injury costs were compared for years 2010 (legacy website data) and 2020 (new website data) to illustrate the impact of data and methods changes on reported costs in the context of changed annual injury incidence. RESULTS: Owing to more comprehensive cost capture yielding higher per-injury average costs for most injury types-including those with high incidence in 2020 such as unintentional poisoning and unintentional falls-reported total US medical and non-medical injury costs were substantially higher in 2020 (US$4.6 trillion) compared with 2010 (US$693 billion) (both 2020 USD). CONCLUSIONS AND RELEVANCE: New data and methods increased the injury costs reported in WISQARS Cost of Injury. Researchers and public health professionals can use this information to proficiently communicate the burden of injuries and violence in terms of economic cost. |
Recurrent candidemia: Trends and risk factors among persons residing in 4 US states, 2011-2018
Seagle EE , Jackson BR , Lockhart SR , Jenkins EN , Revis A , Farley MM , Harrison LH , Schaffner W , Markus TM , Pierce RA , Zhang AY , Lyman MM . Open Forum Infect Dis 2022 9 (10) ofac545 BACKGROUND: Candidemia is a common healthcare-associated infection with high mortality. Estimates of recurrence range from 1% to 17%. Few studies have focused on those with recurrent candidemia, who often experience more severe illness and greater treatment failure. We describe recurrent candidemia trends and risk factors. METHODS: We analyzed population-based candidemia surveillance data collected during 2011-2018. Persons with >1 episode (defined as the 30-day period after a positive Candida species) were classified as having recurrent candidemia. We compared factors during the initial episode between those who developed recurrent candidemia and those who did not. RESULTS: Of the 5428 persons identified with candidemia, 326 (6%) had recurrent infection. Recurrent episodes occurred 1.0 month to 7.6 years after any previous episode. In multivariable logistic regression controlling for surveillance site and year, recurrent candidemia was associated with being 19-44 years old (vs ≥65 years; adjusted odds ratio [aOR], 3.05 [95% confidence interval {CI}, 2.10-4.44]), being discharged to a private residence (vs medical facility; aOR, 1.53 [95% CI, 1.12-2.08]), hospitalization in the 90 days prior to initial episode (aOR, 1.66 [95% CI, 1.27-2.18]), receipt of total parenteral nutrition (aOR, 2.08 [95% CI, 1.58-2.73]), and hepatitis C infection (aOR, 1.65 [95% CI, 1.12-2.43]). CONCLUSIONS: Candidemia recurrence >30 days after initial infection occurred in >1 in 20 persons with candidemia. Associations with younger age and hepatitis C suggest injection drug use may play a modifiable role. Prevention efforts targeting central line care and total parenteral nutrition use may help reduce the risk of recurrent candidemia. |
Children's Rates of BMI Change Prepandemic and During Two COVID-19 Pandemic Periods, IQVIA AEMR, January 2018-November 2021.
Pierce SL , Kompaniyets L , Freedman DS , Goodman AB , Blanck HM . Obesity (Silver Spring) 2022 31 (3) 693-698 OBJECTIVE: Many U.S. youth experienced accelerated weight gain during the early COVID-19 pandemic. Using an ambulatory electronic health record dataset, we compared children's rates of BMI change in three periods: prepandemic (January 2018-February 2020), early pandemic (March-December 2020), and later pandemic (January-November 2021). METHODS: We used mixed-effects models to examine differences in rates of change in BMI, weight, and obesity prevalence among the three periods. Covariates included time as a continuous variable; a variable indicating in which period each BMI was taken; sex; age; and initial BMI category. RESULTS: In a longitudinal cohort of 241,600 children aged 2-19years with 4 BMIs, the monthly rates of BMI change (kg/m(2) ) were 0.056 (95%CI: 0.056, 0.057) prepandemic, 0.104 (95%CI: 0.102, 0.106) in the early pandemic, and 0.035 (95%CI: 0.033, 0.036) in the later pandemic. The estimated prevalence of obesity in this cohort was 22.5% by November 2021. CONCLUSIONS: In this large geographically-diverse cohort of U.S. youth, accelerated rates of BMI change observed during 2020 were largely attenuated in 2021. Positive rates indicate continued weight gain rather than loss, albeit at a slower rate. Childhood obesity prevalence remained high, which raises concern about long-term consequences of excess weight and underscores the importance of healthy lifestyle interventions. This article is protected by copyright. All rights reserved. |
Low sensitivity of International Classification of Diseases, Tenth Revision coding for culture-confirmed candidemia cases in an active surveillance system: United States, 2019-2020
Benedict K , Gold JAW , Jenkins EN , Roland J , Barter D , Czaja CA , Johnston H , Clogher P , Farley MM , Revis A , Harrison LH , Tourdot L , Davis SS , Phipps EC , Felsen CB , Tesini BL , Escutia G , Pierce R , Zhang A , Schaffner W , Lyman M . Open Forum Infect Dis 2022 9 (9) ofac461 We evaluated healthcare facility use of International Classification of Diseases, Tenth Revision (ICD-10) codes for culture-confirmed candidemia cases detected by active public health surveillance during 2019-2020. Most cases (56%) did not receive a candidiasis code, suggesting that studies relying on ICD-10 codes likely underestimate disease burden. |
Comparison of the risk of recurrent Clostridioides difficile infections among patients in 2018 versus 2013
Guh AY , Yi SH , Baggs J , Winston L , Parker E , Johnston H , Basiliere E , Olson D , Fridkin SK , Mehta N , Wilson L , Perlmutter R , Holzbauer SM , D'Heilly P , Phipps EC , Flores KG , Dumyati GK , Hatwar T , Pierce R , Ocampo VLS , Wilson CD , Watkins JJ , Korhonen L , Paulick A , Adamczyk M , Gerding DN , Reddy SC . Open Forum Infect Dis 2022 9 (9) ofac422 Among persons with an initial Clostridioides difficile infection (CDI) across 10 US sites in 2018 compared with 2013, 18.3% versus 21.1% had 1 recurrent CDI (rCDI) within 180 days. We observed a 16% lower adjusted risk of rCDI in 2018 versus 2013 (P<.0001). |
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