PURPOSE: To investigate differences in teen-reported and parent-reported lifetime prevalence estimates of traumatic brain injury (TBI) symptoms, TBI evaluation, and TBI diagnosis among a nationally representative sample of teenagers aged 12-17 years old and their parents. METHODS: Parent-reported data from the 2021 to 2022 National Health Interview Survey linked with teen-reported data from the National Health Interview Survey-Teen July 2021-December 2022 (n = 1,153) were analyzed. Lifetime prevalence estimates for TBI symptoms (e.g., selected symptoms as a result of a blow or jolt to the head), history of evaluation by health professional for TBI (i.e., TBI evaluation), and TBI diagnosis stratified by sociodemographic characteristics and reporter type were produced, and z-tests were conducted to test for differences. Concordance measures were calculated to assess agreement between teen and parent survey responses to TBI measures. RESULTS: Lifetime prevalence of TBI symptoms varied by reporter type across all sociodemographic characteristics with teen-report consistently producing higher estimates. Estimates of TBI evaluation varied by reporter type only among older teens, non-Hispanic teens, and teens who participated in sports; there was no difference for TBI diagnosis. Percent agreement between the 2 reporters ranged from 73% to 95%, prevalence-adjusted bias-adjusted kappa ranged from 0.45 to 0.90, and Cohen's kappa ranged from 0.22 to 0.63. DISCUSSION: There was general agreement for observable outcomes TBI evaluation and TBI diagnosis, but discordance existed in reports of TBI symptoms. These findings suggest that youth self-report of TBI symptoms may enhance surveillance efforts.

INTRODUCTION: Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) experience cognitive problems with attention, information processing speed, working memory, learning efficiency, and executive function. Commonly, patients report worsening of cognitive symptoms over time after physical and/or cognitive challenges. To determine, monitor, and manage longitudinal decrements in cognitive function after such exposures, it is important to be able to screen for cognitive dysfunction and changes over time in clinic and also remotely at home. The primary objectives of this paper were: (1) to determine whether a brief computerized cognitive screening battery will detect differences in cognitive function between ME/CFS and Healthy Controls (HC), (2) to monitor the impact of a full-day study visit on cognitive function over time, and (3) to evaluate the impact of exercise testing on cognitive dysfunction. METHODS: This cognitive sub-study was conducted between 2013 and 2019 across seven U.S. ME/CFS clinics as part of the Multi-Site Clinical Assessment of ME/CFS (MCAM) study. The analysis included 426 participants (261 ME/CFS and 165 HC), who completed cognitive assessments including a computerized CogState Brief Screening Battery (CBSB) administered across five timepoints (T0-T4) at the start of and following a full day in-clinic visit that included exercise testing for a subset of participants (182 ME/CFS and 160 HC). Exercise testing consisted of ramped cycle ergometry to volitional exhaustion. The primary outcomes are performance accuracy and latency (performance speed) on the computerized CBSB administered online in clinic (T0 and T1) and at home (T2-T4). RESULTS: No difference was found in performance accuracy between ME/CFS and HCs whereas information processing speed was significantly slower for ME/CFS at most timepoints with Cohen's d effect sizes ranging from 0.3-0.5 (p < 0.01). The cognitive decline over time on all CBSB tasks was similar for patients with ME/CFS independent of whether exercise testing was included in the clinic visit. CONCLUSION: The challenges of a clinic visit (including cognitive testing) can lead to further cognitive deficits. A single short session of intense exercise does not further reduce speed of performance on any CBSB tasks.

IMPORTANCE: Many recent advances in pediatric concussion care are implemented by specialists; however, children with concussion receive care across varied locations. Thus, it is critical to identify which children have access to the most up-to-date treatment strategies. OBJECTIVE: To evaluate differences in the sociodemographic and community characteristics of pediatric patients who sought care for concussion across various points of entry into a regional health care network. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included children seen for concussions across a regional US health care network from January 1, 2017, to August 4, 2023. Pediatric patients aged 0 to 18 years who received an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification code for concussion were included. The study took place at emergency department (ED) and outpatient (primary care [PC] and specialty care [SC]) settings. EXPOSURES: Age at visit, biological sex, parent-identified race and ethnicity, payer type, median income and percentage of adults with a bachelor's degree for home zip code, and overall and subdomain Child Opportunity Index (COI) score based on patient address. MAIN OUTCOMES AND MEASURES: The association of exposures with point of entry of ED, PC, and SC were examined in both bivariate analysis and a multinomial logistic regression. RESULTS: Overall, 15 631 patients were included in the study (median [IQR] age, 13 [11-15] years; 7879 [50.4%] male; 1055 [6.7%] Hispanic, 2865 [18.3%] non-Hispanic Black, and 9887 [63.7%] non-Hispanic White individuals). Race and ethnicity were significantly different across settings (1485 patients [50.0%] seen in the ED were non-Hispanic Black vs 1012 [12.0%] in PC and 368 [8.7%] in SC; P < .001) as was insurance status (1562 patients [52.6%] seen in the ED possessed public insurance vs 1624 [19.3%] in PC and 683 [16.1%] in SC; P < .001). Overall and individual COI subdomain scores were also significantly different between settings (overall COI median [IQR]: ED, 30 [9-71]; PC, 87 [68-95]; SC, 87 [69-95]; P < .001). Race, insurance status, and overall COI had the strongest associations with point of entry in the multivariable model (eg, non-Hispanic Black patients seen in the ED compared with non-Hispanic White patients: odds ratio, 2.03; 95% CI, 1.69-2.45). CONCLUSIONS AND RELEVANCE: In this cross-sectional study, children with concussion seen in the ED setting were more likely to be non-Hispanic Black, have public insurance, and have a lower Child Opportunity Index compared with children cared for in the PC or SC setting. This highlights the importance of providing education and training for ED clinicians as well as establishing up-to-date community-level resources to optimize care delivery for pediatric patients with concussion at high risk of care inequities.

This cohort study examines the association of reuse of N95 filtering facepiece respirators and N95 filtration efficiency. | eng

BACKGROUND: Chronic overlapping pain conditions (COPCs), pain-related conditions that frequently occur together, may occur in patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and could impact illness severity. This study aimed to identify comorbid COPCs in patients with ME/CFS and evaluate their impact on illness severity. METHODS: We used data from 923 participants in the Multi-Site Clinical Assessment of ME/CFS study, conducted in seven U.S. specialty clinics between 2012 and 2020, who completed the baseline assessment (595 ME/CFS and 328 healthy controls (HC)). COPCs included chronic low back pain (cLBP), chronic migraine/headache (cMHA), fibromyalgia (FM), interstitial cystitis/irritable bladder (IC/IB), irritable bowel syndrome (IBS), temporomandibular disorder (TMD). Illness severity was assessed through questionnaires measuring symptoms and functioning. Multivariate analysis of variance and analysis of covariance models were used for analyses. Log-binomial regression analyses were used to compute prevalence of COPCs and prevalence ratios (PR) between groups with 95% confidence intervals. Both unadjusted and adjusted results with age and sex are presented. RESULTS: 76% of participants with ME/CFS had at least one COPCs compared to 17.4% of HC. Among ME/CFS participants, cMHA was most prevalent (48.1%), followed by FM (45.0%), cLBP (33.1%), and IBS (31.6%). All individual COPCs, except TMD, were significantly more frequent in females than males. The unadjusted PR (ME/CFS compared to HC) was highest for FM [147.74 (95% confidence interval (CI) = 20.83-1047.75], followed by cLBP [39.45 (12.73-122.27)], and IC/IB [13.78 (1.88-101.24)]. The significance and order did not change after age and sex adjustment. The COPC comorbidities of cLBP and FM each had a significant impact on most health measures, particularly in pain attributes (Cohen's d effect size 0.8 or larger). While the impact of COPC comorbidities on non-pain attributes and quality of life measures was less pronounced than that on pain, statistically significant differences between ME/CFS participants with and without COPCs were still evident. CONCLUSIONS: More than 75% of ME/CFS participants had one or more COPCs. Multiple COPCs further exacerbated illness severity, especially among females with ME/CFS. Assessment and management of COPCs may help improve the health and quality of life for patients with ME/CFS.

This economic evaluation uses nationwide public health data to evaluate incidence and economic costs of homicides and nonfatal assault injuries among US adults aged 60 years or older. | eng

CONTEXT: International Classification of Diseases (ICD) codes are used for billing but also for surveillance for injuries such as traumatic brain injuries (TBI). While specificity is possible in the ICD-10-CM scheme, use of the code for unspecified injury of head (SO9.9) remains high. OBJECTIVES: This process evaluation sought to understand medical ICD-10-CM coding behaviors for TBI in emergency department (ED) settings. DESIGN: Semi-structured interviews explored the processes that facilitate or hinder ED physicians from selecting specific ICD codes for TBI and potential points of intervention for increased coding specificity and reducing the use of unspecified codes. SETTING: Video interviews were conducted with a nationwide sample in the United States. PARTICIPANTS: A purposive snowball sampling strategy was used to recruit 26 ED physicians with experience diagnosing TBI. INTERVENTION: Semi-structured interviews identified factors related to the selection of specific ICD codes for head injury. MAIN OUTCOME MEASURE: Thematic analysis of transcribed data. RESULTS: Four main themes emerged from the data: the impact of training and expertise, factors related to diagnosis, unclear connections with medical coders, and actionable recommendations. Interviews underscored the context surrounding "unspecified" codes for TBI, including demands from patient care, time pressures, issues around how a diagnosis may impact patient management decisions, and considerations related to mapping within the electronic medical record (EMR) where options may default to an unspecified code. CONCLUSIONS: Findings from this analysis indicate that ED providers may benefit from more robust training on how documentation can better support ICD-10-CM coding for this type of trauma. Revised EMR structures could support efficient coding specificity and clarity.

BACKGROUND: Alcohol-exposed pregnancies, which can lead to fetal alcohol spectrum disorders (FASDs), is one of the most common preventable causes of lifelong intellectual and developmental disabilities in the U.S. Healthcare teams can play a critical role in preventing FASDs; however, they are currently unprepared to do so. Training can remediate this problem. This article explores the different approaches to the education and training of healthcare providers around FASD prevention used by six Centers for Disease Control (CDC)-funded programs, and how they have been adapted to (1) the specific needs of the healthcare professionals and/or the clinical setting and (2) the challenges posed by the COVID-19 pandemic. METHODS: This article offers an in-depth description and comparison of the models utilized by the programs described, detailing the challenges of each model as well as the adaptations made. Interdisciplinary collaboration and review highlights these models and offers a variety of solutions and lessons learned that can be implemented in similar practice settings and/or educational initiatives. RESULTS: Based on organizational structure (i.e., national organization, educational institution, and clinical settings) and program purpose, different methods were employed for FASD education. Some programs were focused on FASD prevention through staff training and alcohol screening and brief intervention/clinical intervention and others were focused on broadscale professional education and awareness. Improvements were made on an ongoing basis as challenges related to COVID-19, staff shortages, and patient and clinician discomfort were identified, resulting in modifications to content and delivery modality (e.g., online forums and use of social media). CONCLUSION: FASD prevention education is wrought with a variety of challenges related to stigma, discomfort, and misinformation, which these programs encountered in a variety of ways.

CONTEXT: In the emergency department (ED) setting, prioritizing triage and patient care may lead to challenges in capturing detailed documentation necessary for specific International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding in medical records. Consequently, the prevalent use of the "unspecified head injury" code poses concerns about the precision of ED-based administrative billing claims data when analyzed for public health surveillance of nonfatal traumatic brain injuries (TBIs). Understanding the perspective of medical coders can illuminate coding processes and opportunities to enhance coding accuracy for TBI and other head injuries in the ED. OBJECTIVE: This evaluation explores medical coders' perspectives and challenges when assigning ICD-10-CM codes to head injuries in the ED. DESIGN: This qualitative evaluation utilized a phenomenological approach, which employed semi-structured interviews to understand medical coders' perspectives, processes, and coding determinations for head injuries in the ED. SETTING: Interviews were conducted using a HIPAA-compliant video-based platform between July 2022 and January 2023. PARTICIPANTS: Seventeen medical coders with ED coding experience were interviewed. Their backgrounds were diverse, though most had more than 15 years of experience. MAIN OUTCOMES: Four qualitative themes emerged, which highlighted challenges with lack of detailed documentation, defaulting to unspecified codes, time, and productivity pressure, and additional insights into coders' assumptions and code determination processes. RESULTS: Medical coders expressed challenges assigning ICD-10-CM codes to the highest level of specificity, citing issues including insufficient documentation by ED providers and terminology variations. Workplace time constraints and pressure for expedited claims also led to defaulting to unspecified codes. CONCLUSIONS: This evaluation highlights the need for improved documentation consistency and detail in ED records to facilitate accurate ICD-10-CM coding. Alleviating time pressures, improving algorithms, and offering specialized training opportunities to medical coders could be helpful steps to improve coding specificity and data accuracy for head injuries in the ED.

OBJECTIVE: Surveillance of traumatic brain injury (TBI), including concussion, in the United States has historically relied on healthcare administrative datasets, but these methods likely underestimate the true burden of TBI. The Centers for Disease Control and Prevention (CDC) has recently added TBI prevalence questions to several national surveys. The objective of this article is to summarize their recent efforts and report TBI prevalence estimates. SETTING: Surveys. PARTICIPANTS: Adult and youth respondents to a series of national surveys. DESIGN: Recent nationally representative surveys with either 12-month or lifetime TBI prevalence questions were identified. MAIN MEASURES: For each data source, survey methodology, TBI definition, question wording, and prevalence estimates were examined. RESULTS: TBI prevalence varied depending on the question wording and data source. Overall 12-month prevalence of concussion/TBI among adults ranged from 2% to 12% while overall lifetime prevalence of concussion or TBI ranged from 19% to 29%. Overall 12-month prevalence of concussion/TBI among children and adolescents was 10% while 12-month prevalence of sports- and recreation-related concussion for youth ranged from 7% to 15%. Overall lifetime prevalence of TBI among youth ranged from 6% to 14%. CONCLUSION: Survey data based on self-reported concussions and TBIs resulted in larger prevalence estimates than would be expected based on traditional surveillance methods. Analyses of the various surveys shows that how the questions are asked and what terminology is used can notably affect the estimates observed. Efforts can be made to optimize and standardize data collection approaches to ensure consistent measurement across settings and populations.

OBJECTIVE: Injuries and poisoning are leading causes of US morbidity and mortality. This study aimed to update medical and work loss cost estimates per injured person. METHODS: Injuries treated in emergency departments (ED) during 2019-2020 were analysed in terms of mechanism (eg, fall) and intent (eg, unintentional), as well as traumatic brain injury (TBI) (multiple mechanisms and intents). Fatal injury medical spending was based on the Nationwide Emergency Department Sample and National Inpatient Sample. Non-fatal injury medical spending and workplace absences (general, short-term disability and workers' compensation) were analysed among injury patients with commercial insurance or Medicaid and matched controls during the year following an injury ED visit using MarketScan databases. RESULTS: Medical spending for injury deaths in hospital EDs and inpatient settings averaged US$4777 (n=57 296) and US$45 678 per fatality (n=89 175) (2020 USD). Estimates for fatal TBI were US$5052 (n=5363) and US$47 952 (n=37 184). People with ED treat and release visits for non-fatal injuries had on average US$5798 (n=895 918) in attributable medical spending and US$1686 (11 missed days) (n=116 836) in work loss costs during the following year, while people with non-fatal injuries who required hospitalisation after an ED injury visit had US$52 246 (n=32 976) in medical spending and US$7815 (51 days) (n=4473) in work loss costs. Estimates for non-fatal TBI were US$4529 (n=25 792), US$1503 (10 days) (n=1631), US$51 241 (n=3030) and US$6110 (40 days) (n=246). CONCLUSIONS AND RELEVANCE: Per person costs of injuries and violence are important to monitor the economic burden of injuries and assess the value of prevention strategies.

Cross jurisdictional collaboration efforts and emergency vaccine plans that are consistent with Tribal sovereignty are essential to public health emergency preparedness. The widespread adoption of clearly written federal, state, and local vaccine plans that address fundamental assumptions in vaccine distribution to Tribal nations is imperative for future pandemic response.

INTRODUCTION: Concussions sustained during sports and recreational activities are a concern for young athletes. The purpose of this study was to estimate past 12-month sport- and recreation-related (SRR) traumatic brain injuries (TBIs) among a sample of children. METHODS: Pilot data from the Centers for Disease Control and Prevention's National Concussion Surveillance System were analyzed. National Concussion Surveillance System utilized a cross-sectional random-digit-dial telephone survey using computer-assisted telephone interviewing to collect self/proxy-reported data from 2018 to 2019. Adults with children aged 5-17 in the household were asked about head injuries sustained by their children. Estimates were stratified by sociodemographic and injury circumstance characteristics. Data analysis occurred from April 2022 to July 2023. RESULTS: Utilizing a tiered case definition developed by the Centers for Disease Control and Prevention, an estimated 6.9% (95% confidence interval [CI], 6.0%-7.8%) of the sample's 5-17-year-old children sustained at least one probable or possible SRR-TBI in the previous 12 months; 3.3% (95% CI, 2.7%-4.0%) of the children sustained at least one probable SRR-TBI. An estimated 63.6% (95% CI, 58.1%-69.0%) of all reported TBIs were attributed to SRR activities. Of the SRR-TBIs reported, 41.1% (95% CI, 33.0%-49.2%) were experienced while playing contact sports. Symptoms did not resolve for 8 or more days or had not resolved at the time of the interview for 18.1% (95% CI, 13.0%-23.1%) of the children's most recent SRR-TBI. CONCLUSIONS: Many proxy-reported TBIs among children aged 5-17 years were due to sports and recreational activities. Athletic trainers and healthcare providers can play a role in the prevention, identification, and management of SRR-TBIs in their respective environments.

Recent cyclosporiasis outbreaks associated with fresh produce grown in the United States highlight the need to better understand C. cayetanensis prevalence in U.S. agricultural environments. In this study, C. cayetanensis occurrence was assessed in municipal wastewater sludge, on-farm portable toilets, irrigation pond water, and spent packing house dump tank water in a Southeastern Georgia growing region over two years. Detection of the C. cayetanensis 18S rRNA qPCR gene target in pond samples was 0%, 28%, and 42% (N=217) depending on the detection definition used, and ≤ 1% in dump tank samples (N=46). However, no qPCR detections were confirmed by sequencing, suggesting false detection occurred due to cross-reactions. C. cayetanensis qPCR detections were confirmed in 9% of wastewater sludge samples (N=76). The human-specific fecal markers HF183 and crAssphage were detected in 33% and 6% of pond samples, respectively and 4% and 0% of dump tank samples, respectively. Despite community Cyclospora shedding and evidence of human fecal contamination in irrigation water, there was no correlation between C. cayetanensis and HF183 qPCR detections, further supporting that 18S gene target qPCR amplifications were due to cross reactions. When evaluating C. cayetanensis qPCR environmental detection data, the impact of assay specificity and detection criteria should be considered. Moreover, additional sequence-based testing may be needed to appropriately interpret Cyclospora qPCR environmental data.

BACKGROUND: Reports of fluconazole-resistant Candida parapsilosis bloodstream infections are increasing. We describe a cluster of fluconazole-resistant C parapsilosis bloodstream infections identified in 2021 on routine surveillance by the Georgia Emerging Infections Program in conjunction with the Centers for Disease Control and Prevention. METHODS: Whole-genome sequencing was used to analyze C parapsilosis bloodstream infections isolates. Epidemiological data were obtained from medical records. A social network analysis was conducted using Georgia Hospital Discharge Data. RESULTS: Twenty fluconazole-resistant isolates were identified in 2021, representing the largest proportion (34%) of fluconazole-resistant C parapsilosis bloodstream infections identified in Georgia since surveillance began in 2008. All resistant isolates were closely genetically related and contained the Y132F mutation in the ERG11 gene. Patients with fluconazole-resistant isolates were more likely to have resided at long-term acute care hospitals compared with patients with susceptible isolates (P = .01). There was a trend toward increased mechanical ventilation and prior azole use in patients with fluconazole-resistant isolates. Social network analysis revealed that patients with fluconazole-resistant isolates interfaced with a distinct set of healthcare facilities centered around 2 long-term acute care hospitals compared with patients with susceptible isolates. CONCLUSIONS: Whole-genome sequencing results showing that fluconazole-resistant C parapsilosis isolates from Georgia surveillance demonstrated low genetic diversity compared with susceptible isolates and their association with a facility network centered around 2 long-term acute care hospitals suggests clonal spread of fluconazole-resistant C parapsilosis. Further studies are needed to better understand the sudden emergence and transmission of fluconazole-resistant C parapsilosis.

Cyclospora cayetanensis is a foodborne parasite that causes cyclosporiasis, an enteric illness in humans. Genotyping methods are used to genetically discriminate between specimens from cyclosporiasis cases and can complement source attribution investigations if the method is sufficiently sensitive for application to food items. A very sensitive targeted amplicon sequencing (TAS) assay for genotyping C. cayetanensis encompassing 52 loci was recently designed. In this study, we analyzed 66 genetically diverse clinical specimens to assess the change in phylogenetic resolution between the TAS assay and a currently employed eight-marker scheme. Of the 52 markers, ≥50 were successfully haplotyped for all specimens, and these results were used to generate a hierarchical cluster dendrogram. Using a previously described statistical approach to dissect hierarchical trees, the 66 specimens resolved into 24 and 27 distinct genetic clusters for the TAS and an 8-loci scheme, respectively. Although the specimen composition of 15 clusters was identical, there were substantial differences between the two dendrograms, highlighting the importance of both inclusion of additional genome coverage and choice of loci to target for genotyping. To evaluate the ability to genetically link contaminated food samples with clinical specimens, C. cayetanensis was genotyped from DNA extracted from raspberries inoculated with fecal specimens. The contaminated raspberry samples were assigned to clusters with the corresponding clinical specimen, demonstrating the utility of the TAS assay for traceback efforts.

BACKGROUND: Children aged 0-4 years have the highest rate of emergency department (ED) visits for traumatic brain injury (TBI); falls are the leading cause. Infants younger than 2 years are more likely to sustain a fractured skull after a fall. OBJECTIVE: This study examined caregiver actions and products associated with ED visits for fall-related fractured skulls in infants aged 0-4 months. METHODS: Data were analyzed from the 2001-2017 National Electronic Injury Surveillance System-All Injury Program. Case narratives of infants aged 0-4 months who visited an ED for a fall-related skull fracture were examined to code caregiver actions preceding the fall. Product codes determined fall location and product type involved (e.g., flooring, bed, or stairs). All national estimates were weighted. RESULTS: There were more than 27,000 ED visits (weighted estimate) of infants aged 0-4 months for a nonfatal fall-related fractured skull between 2001 and 2017. Most were younger than 2 months (46.7%) and male (54.4%). Falls occurred primarily in the home (69.9%) and required hospitalization (76.4%). Primary caregiver actions coded involved placing (58.6%), dropping (22.7%), and carrying an infant (16.6%). Floor surfaces were the most common product (mentioned in 24.0% of the cases). CONCLUSIONS: Fall-related fractured skulls are a health and developmental concern for infants, highlighting the importance of a comprehensive assessment at the time of the injury to better understand adult actions. Findings indicated the need to develop prevention messages that include safe carrying and placement of infants.

Per- and polyfluoroalkyl substances (PFAS) are related to various adverse health outcomes, and food is a common source of PFAS exposure. Dietary sources of PFAS have not been adequately explored among U.S. pregnant individuals. We examined associations of dietary factors during pregnancy with PFAS concentrations in maternal plasma and human milk in the New Hampshire Birth Cohort Study. PFAS concentrations, including perfluorohexane sulfonate (PFHxS), perfluorooctane sulfonate (PFOS), perfluorooctanoate (PFOA), perfluorononanoate (PFNA), and perfluorodecanoate (PFDA), were measured in maternal plasma collected at ~28 gestational weeks and human milk collected at ~6 postpartum weeks. Sociodemographic, lifestyle and reproductive factors were collected from prenatal questionnaires and diet from food frequency questionnaires at ~28 gestational weeks. We used adaptive elastic net (AENET) to identify important dietary variables for PFAS concentrations. We used multivariable linear regression to assess associations of dietary variables selected by AENET models with PFAS concentrations. Models were adjusted for sociodemographic, lifestyle, and reproductive factors, as well as gestational week of blood sample collection (plasma PFAS), postpartum week of milk sample collection (milk PFAS), and enrollment year. A higher intake of fish/seafood, eggs, coffee, or white rice during pregnancy was associated with higher plasma or milk PFAS concentrations. For example, every 1 standard deviation (SD) servings/day increase in egg intake during pregnancy was associated with 4.4 % (95 % CI: 0.6, 8.4), 3.3 % (0.1, 6.7), and 10.3 % (5.6, 15.2) higher plasma PFOS, PFOA, and PFDA concentrations respectively. Similarly, every 1 SD servings/day increase in white rice intake during pregnancy was associated with 7.5 % (95 % CI: -0.2, 15.8) and 12.4 % (4.8, 20.5) greater milk PFOS and PFOA concentrations, respectively. Our study suggests that certain dietary factors during pregnancy may contribute to higher PFAS concentrations in maternal plasma and human milk, which could inform interventions to reduce PFAS exposure for both birthing people and offspring.

OBJECTIVE: The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical profiles. METHODS: Pilot self-reported survey data of over 10,000 adults were collected from the Centers for Disease Control and Prevention (CDC)'s National Concussion Surveillance System (NCSS). Respondents who self-reported a head injury in the past 12 months (n = 1,364) were retained and queried for injury, outcome, and clinical characteristics. An unsupervised machine learning algorithm, partitioning around medoids (PAM), that employed Gower's dissimilarity matrix, was used to conduct a cluster analysis. RESULTS: PAM grouped respondents into five TBI clusters (phenotypes A-E). Phenotype C represented more clinically severe TBIs with a higher prevalence of symptoms and association with worse outcomes. When compared to individuals in Phenotype A, a group with few TBI-related symptoms, individuals in Phenotype C were more likely to undergo medical evaluation (odds ratio [OR] = 9.8, 95% confidence interval[CI] = 5.8-16.6), have symptoms that were not currently resolved or resolved in 8+ days (OR = 10.6, 95%CI = 6.2-18.1), and more likely to report at least moderate impact on social (OR = 54.7, 95%CI = 22.4-133.4) and work (OR = 25.4, 95%CI = 11.2-57.2) functioning. CONCLUSION: Machine learning can be used to classify patients into unique TBI phenotypes. Further research might examine the utility of such classifications in supporting clinical diagnosis and patient recovery for this complex health condition.

BACKGROUND: The Center for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, and Injuries (STEADI) initiative offers health care providers tools and resources to assist with fall risk screening and multifactorial fall risk assessment and interventions. Its effectiveness has never been evaluated in a randomized trial. OBJECTIVE: This study aims to describe the protocol for the STEADI Options Randomized Quality Improvement Trial (RQIT), which was designed to evaluate the impact on falls and all-cause health expenditures of a telemedicine-based form of STEADI implemented among older adults aged 65 years and older, within a primary care setting. METHODS: STEADI Options was a pragmatic RQIT implemented within a health system comparing a telemedicine version of the STEADI fall risk assessment to the standard of care (SOC). Before screening, we randomized all eligible patients in participating clinics into the STEADI arm or SOC arm based on their scheduled provider. All received the Stay Independent screener (SIS) to determine fall risk. Patients were considered at risk for falls if they scored 4 or more on the SIS or answered affirmatively to any 1 of the 3 key questions within the SIS. Patients screened at risk for falls and randomized to the STEADI arm were offered a registered nurse (RN)-led STEADI assessment through telemedicine; the RN provided assessment results and recommendations to the providers, who were advised to discuss fall-prevention strategies with their patients. Patients screened at risk for falls and randomized to the SOC arm were asked to participate in study data collection only. Data on recruitment, STEADI assessments, use of recommended prevention services, medications, and fall occurrences were collected using electronic health records and patient surveys. Using staff time diaries and administrative records, the study prospectively collected data on STEADI implementation costs and all-cause outpatient and inpatient charges incurred over the year following enrollment. RESULTS: The study enrolled 720 patients (n=307, 42.6% STEADI arm; n=353, 49% SOC arm; and n=60, 8.3% discontinued arm) from September 2020 to December 2021. Follow-up data collection was completed in January 2023. As of February 2024, data analysis is complete, and results are expected to be published by the end of 2025. CONCLUSIONS: The STEADI RQIT evaluates the impact of a telemedicine-based, STEADI-based fall risk assessment on falls and all-cause health expenditures and can provide information on the intervention's effectiveness and cost-effectiveness. TRIAL REGISTRATION: ClinicalTrials.gov NCT05390736, http://clinicaltrials.gov/ct2/show/NCT05390736. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/54395.

Underprioritization of mental health is a global problem and threatens the decades-long progress of the US President's Emergency Plan for AIDS Relief (PEPFAR) program. In recent years, mental health has become globally recognized as a part of universal healthcare, making this an opportune moment for the global community to integrate mental health services into routine programming. PEPFAR is well positioned to lead by example. We conceptualized 5 key strategies that might help serve as a framework to support mental health programming as part of PEPFAR's current 5-year strategic plan. PEPFAR and the global community have an opportunity to identify mental health service gaps and interweave global mental health priorities with actions to end the HIV and TB epidemics by 2030.

IMPORTANCE: Infections due to multidrug-resistant organisms (MDROs) are associated with increased morbidity, mortality, length of hospitalization, and health care costs. Regional interventions may be advantageous in mitigating MDROs and associated infections. OBJECTIVE: To evaluate whether implementation of a decolonization collaborative is associated with reduced regional MDRO prevalence, incident clinical cultures, infection-related hospitalizations, costs, and deaths. DESIGN, SETTING, AND PARTICIPANTS: This quality improvement study was conducted from July 1, 2017, to July 31, 2019, across 35 health care facilities in Orange County, California. EXPOSURES: Chlorhexidine bathing and nasal iodophor antisepsis for residents in long-term care and hospitalized patients in contact precautions (CP). MAIN OUTCOMES AND MEASURES: Baseline and end of intervention MDRO point prevalence among participating facilities; incident MDRO (nonscreening) clinical cultures among participating and nonparticipating facilities; and infection-related hospitalizations and associated costs and deaths among residents in participating and nonparticipating nursing homes (NHs). RESULTS: Thirty-five facilities (16 hospitals, 16 NHs, 3 long-term acute care hospitals [LTACHs]) adopted the intervention. Comparing decolonization with baseline periods among participating facilities, the mean (SD) MDRO prevalence decreased from 63.9% (12.2%) to 49.9% (11.3%) among NHs, from 80.0% (7.2%) to 53.3% (13.3%) among LTACHs (odds ratio [OR] for NHs and LTACHs, 0.48; 95% CI, 0.40-0.57), and from 64.1% (8.5%) to 55.4% (13.8%) (OR, 0.75; 95% CI, 0.60-0.93) among hospitalized patients in CP. When comparing decolonization with baseline among NHs, the mean (SD) monthly incident MDRO clinical cultures changed from 2.7 (1.9) to 1.7 (1.1) among participating NHs, from 1.7 (1.4) to 1.5 (1.1) among nonparticipating NHs (group × period interaction reduction, 30.4%; 95% CI, 16.4%-42.1%), from 25.5 (18.6) to 25.0 (15.9) among participating hospitals, from 12.5 (10.1) to 14.3 (10.2) among nonparticipating hospitals (group × period interaction reduction, 12.9%; 95% CI, 3.3%-21.5%), and from 14.8 (8.6) to 8.2 (6.1) among LTACHs (all facilities participating; 22.5% reduction; 95% CI, 4.4%-37.1%). For NHs, the rate of infection-related hospitalizations per 1000 resident-days changed from 2.31 during baseline to 1.94 during intervention among participating NHs, and from 1.90 to 2.03 among nonparticipating NHs (group × period interaction reduction, 26.7%; 95% CI, 19.0%-34.5%). Associated hospitalization costs per 1000 resident-days changed from $64 651 to $55 149 among participating NHs and from $55 151 to $59 327 among nonparticipating NHs (group × period interaction reduction, 26.8%; 95% CI, 26.7%-26.9%). Associated hospitalization deaths per 1000 resident-days changed from 0.29 to 0.25 among participating NHs and from 0.23 to 0.24 among nonparticipating NHs (group × period interaction reduction, 23.7%; 95% CI, 4.5%-43.0%). CONCLUSIONS AND RELEVANCE: A regional collaborative involving universal decolonization in long-term care facilities and targeted decolonization among hospital patients in CP was associated with lower MDRO carriage, infections, hospitalizations, costs, and deaths.

Background: One of the goals of the Multi-site Clinical Assessment of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (MCAM) study was to evaluate whether clinicians experienced in diagnosing and caring for patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) recognized the same clinical entity. Methods: We enrolled participants from seven specialty clinics in the United States. We used baseline data (n = 465) on standardized questions measuring general clinical characteristics, functional impairment, post-exertional malaise, fatigue, sleep, neurocognitive/autonomic symptoms, pain, and other symptoms to evaluate whether patient characteristics differed by clinic. Results: We found few statistically significant and no clinically significant differences between clinics in their patients’ standardized measures of ME/CFS symptoms and function. Strikingly, patients in each clinic sample and overall showed a wide distribution in all scores and measures. Conclusions: Illness heterogeneity may be an inherent feature of ME/CFS. Presenting research data in scatter plots or histograms will help clarify the challenge. Relying on case–control study designs without subgrouping or stratification of ME/CFS illness characteristics may limit the reproducibility of research findings and could obscure underlying mechanisms. © 2024 by the authors.

INTRODUCTION: The US age-adjusted suicide rate is 35% higher than two decades ago and the COVID-19 pandemic era highlighted the urgent need to address nonfatal self-harm, particularly among youth. This study aimed to report the estimated annual economic cost of US suicide and nonfatal self-harm. METHODS: In 2023 CDC's WISQARS Cost of Injury provided the retrospective number of suicides and nonfatal self-harm injury emergency department (ED) visits from national surveillance sources by sex and age group, as well as the estimated annual economic cost of associated medical spending, lost work productivity, reduced quality of life from injury morbidity, and avoidable mortality based on the value of statistical life during 2015-2020. RESULTS: The economic cost of suicide and nonfatal self-harm averaged $510 billion (2020 USD) annually, the majority from life years lost to suicide. Working-aged adults (aged 25-64 years) comprised nearly 75% of the average annual economic cost of suicide ($356B of $484B) and children and younger adults (aged 10-44 years) comprised nearly 75% of the average annual economic cost of nonfatal self-harm injuries ($19B of $26B). CONCLUSIONS: Suicide and self-harm have substantial societal costs. Measuring the consequences in terms of comprehensive economic cost can inform investments in suicide prevention strategies.

The tobacco-specific nitrosamines N'-nitrosonornicotine (NNN) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) are considered "carcinogenic to humans" by the International Agency for Research on Cancer (IARC) and are believed to be important in the carcinogenic effects of both smokeless tobacco and combusted tobacco products. This short review focuses on the results of recent studies on the formation of NNN and NNK in tobacco, and their carcinogenicity and toxicity in laboratory animals. New mechanistic insights are presented regarding the role of dissimilatory nitrate reductases in certain microorganisms involved in the conversion of nitrate to nitrite that leads to the formation of NNN and NNK during curing and processing of tobacco. Carcinogenicity studies of the enantiomers of the major NNK metabolite 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and the enantiomers of NNN are reviewed. Recent toxicity studies of inhaled NNK and co-administration studies of NNK with formaldehyde, acetaldehyde, acrolein, and CO2, all of which occur in high concentrations in cigarette smoke, are discussed.

INTRODUCTION: Although adverse childhood experiences (ACEs) are associated with lifelong health harms, current surveillance data on adults' ACEs exposures are either unavailable or incomplete for many states. In this study, recent data from a nationally representative survey were used to obtain current and complete ACEs estimates at the national and state levels. METHODS: Current, complete, by-state ACEs estimates were obtained by applying small area estimation (SAE) technique to individual-level data on adults aged 18+ years from 2019-2020 Behavioral Risk Factor Surveillance System (BRFSS) survey. The standardized ACEs questions included in 2019-2020 BRFSS survey allowed for obtaining ACEs estimates consistent across states. All missing ACEs responses (state did not offer ACEs questions or offered to only some respondents; respondents skipped questions) were predicted through multilevel mixed-effects logistic (MMEL) and jackknifed MMEL SAE regressions. The analyses were conducted between October 2022 and May 2023. RESULTS: Estimated 62.8% of U.S. adults had past ACEs exposures (range: 54.9% in Connecticut; 72.5% in Maine). Emotional abuse (34.5%) was most common; household member incarceration (10.6%) was least common. Sexual abuse varied markedly between females (22.2%) and males (5.4%). Most ACEs exposures were lowest for adults who were non-Hispanic white, had the highest level of education (college degree) or income (annual income $50,000+), or had access to a personal healthcare provider. CONCLUSIONS: Current complete ACE estimates demonstrate high countrywide exposures and stark socio-demographic inequalities in ACEs burden, highlighting opportunities to prevent ACEs by focusing social, educational, medical, and public health interventions on populations disproportionately impacted.

Together with plague, smallpox and typhus, epidemics of dysentery have been a major scourge of human populations for centuries(1). A previous genomic study concluded that Shigella dysenteriae type 1 (Sd1), the epidemic dysentery bacillus, emerged and spread worldwide after the First World War, with no clear pattern of transmission(2). This is not consistent with the massive cyclic dysentery epidemics reported in Europe during the eighteenth and nineteenth centuries(1,3,4) and the first isolation of Sd1 in Japan in 1897(5). Here, we report a whole-genome analysis of 331 Sd1 isolates from around the world, collected between 1915 and 2011, providing us with unprecedented insight into the historical spread of this pathogen. We show here that Sd1 has existed since at least the eighteenth century and that it swept the globe at the end of the nineteenth century, diversifying into distinct lineages associated with the First World War, Second World War and various conflicts or natural disasters across Africa, Asia and Central America. We also provide a unique historical perspective on the evolution of antibiotic resistance over a 100-year period, beginning decades before the antibiotic era, and identify a prevalent multiple antibiotic-resistant lineage in South Asia that was transmitted in several waves to Africa, where it caused severe outbreaks of disease.

BACKGROUND: Although preventable, adverse childhood experiences (ACEs) can result in lifelong health harms. Current surveillance data on adults' exposure to ACEs are either unavailable or incomplete for many U.S. states. METHODS: Current estimates of the proportion of U.S. adults with past ACEs exposures were obtained by analysing individual-level data from 2019 to 2020 Behavioural Risk Factor Surveillance System-annual nationally representative survey of noninstitutionalized adults aged 18+years. Standardised questions measuring ACEs exposures (presence of household member with mental illness, substance abuse, or incarceration; parental separation; witnessing intimate partner violence; experiencing physical, emotional, or sexual abuse during childhood) were categorised into 0, 1, 2-3, or 4+ACEs and reported by sociodemographic group in each state. Missing ACEs responses (state did not offer ACEs questions or offered to only some respondents; respondent skipped questions) were modelled through multilevel mixed-effects logistic (MMEL) and jackknifed MMEL regressions. RESULTS: In 2019-2020, an estimated 62.8% of U.S. adults had past exposure to 1+ACEs (range: 54.9% in Connecticut; 72.5% in Maine), including 22.4% of adults who were exposed to 4+ACEs (range: 11.9% in Connecticut; 32.8% in Nevada). At the national and state levels, exposure to 4+ACEs was highest among adults aged 18-34 years, those who did not graduate from high school, or adults who did not have a healthcare provider. Racial/ethnic distribution of adults exposed to 4+ACEs varied by age and state. CONCLUSIONS: ACEs are common but not equally distributed. ACEs exposures estimated by state and sociodemographic group can help decisionmakers focus public health interventions on populations disproportionately impacted in their area.

Contagious ecthyma is a skin disease, caused by Orf virus, creating great economic threats to livestock farming worldwide. Zoonotic potential of this disease has gained recent attention owing to the re-emergence of disease in several parts of the world. Increased public health concern emphasizes the need for a predictive understanding of the geographic distributional potential of Orf virus. Here, we mapped the current distribution using occurrence records, and estimated the ecological niche in both geographical and environmental spaces. Twenty modeling experiments, resulting from two- and three-partition models, were performed to choose the candidate models that best represent the geographic distributional potential of Orf virus. For all of our models, it was possible to reject the null hypothesis of predictive performance no better than random expectations. However, statistical significance must be accompanied by sufficiently good predictive performance if a model is to be useful. In our case, omission of known distribution of the virus was noticed in all Maxent models, indicating inferior quality of our models. This conclusion was further confirmed by the independent final evaluation, using occurrence records sourced from the Centre for Agriculture and Bioscience International. Minimum volume ellipsoid (MVE) models indicated the broad range of environmental conditions under which Orf virus infections are found. The excluded climatic conditions from MVEs could not be considered as unsuitable owing to the broad distribution of Orf virus. These results suggest two possibilities: that the niche models fail to identify niche limits that constrain the virus, or that the virus has no detectable niche, as it can be found throughout the geographic distributions of its hosts. This potential limitation of component-based pathogen-only ENMs is discussed in detail.