Comparing Confirmed Sodium Nitrite Suicide Deaths With Poison Center Surveillance Estimates.

Importance: Sodium nitrite is a curing agent increasingly used for self-harm and suicide, and multiple locales have reported increasing cases. However, approaches to forensic investigation of these cases are not standardized, and current modes of surveillance in the United States may be inadequate. Objective: To define a potential standard approach for identifying sodium nitrite deaths based on forensic confirmation, and compare findings based on this standard to poison center surveillance. Design, Setting, and Participants: This retrospective case series of sodium nitrite exposures and deaths was conducted in 2 urban medical examiner jurisdictions in New York State from 2000 to 2022. The population-based sample included individuals from (1) medical examiner reports of decedents where the cause of death was sodium nitrite and (2) poison center reports of intentional exposures to sodium nitrite. Exposure: Sodium nitrite as either cause of death (medical examiner reports) or intentional exposure (poison center reports). Main Outcomes and Measures: Medical examiner determination of sodium nitrite deaths was considered the criterion standard and relied largely on confirmatory blood nitrite testing. Poison center records were assessed for intentional exposures to sodium nitrite. Results: In this case series of 36 decendents, median (range) age was 28 (20-57) years; 23 (63.8%) were male; 6 (16.7%) were African-American, 5 (13.9%) were Chinese, 13 (36.1%) were White, and 4 (11.1%) had unknown race; and 6 (16.7%) were Hispanic. No deaths were found from 2000 to 2018, and yearly increases in deaths from 2019 to 2022; these deaths were largely missed by local poison center surveillance. Most cases (83.3% [n = 30]) had postmortem blood nitrite concentrations available, and multiple decedents had evidence of suicide kit recommendations from internet sources. Conclusions and Relevance: In this case series of decedents in 2 New York medical examiner jurisdictions, sodium nitrite deaths increased yearly, and the medical examiners were able to obtain confirmatory nitrite concentrations in most cases. These findings suggest that poison center surveillance underestimates confirmed deaths from sodium nitrite; public health authorities should rely on multiple data sources when analyzing this problem, and forensic analyses should be standardized.

A Comparison of Active and Passive Surveillance Strategies for Selected Birth Defects in New York.

BACKGROUND: The New York State Birth Defects Registry (BDR) has passive and active components. As part of statewide passive ascertainment, the BDR receives reports of International Classification of Diseases, Tenth Revision (ICD-10) codes and descriptive narratives on a wide range of birth defects. The BDR conducts enhanced active surveillance for selected birth defects in 14 counties, which includes medical record abstraction and clinician review. We sought to quantify agreement between the two surveillance approaches. METHODS: The analysis included live-born infants born with one of the 16 birth defects in 2018-2021 in the active surveillance counties (n = 1069 infants). We calculated positive predictive values (PPV) and 95% confidence intervals for each defect, defined as the percentage of cases confirmed in active surveillance among those in passive surveillance. Additionally, we calculated the percentage with each birth defect missed by passive surveillance. RESULTS: The PPV varied greatly by birth defect. The PPV was >90% for gastroschisis and cleft lip, but <70% for spina bifida, diaphragmatic hernia, truncus arteriosus, tricuspid atresia, hypoplastic left heart syndrome, coarctation of the aorta, and pulmonary atresia. The percentage missed by passive surveillance ranged from 2% for tetralogy of Fallot to 39% for tricuspid atresia. CONCLUSIONS: Active surveillance is an important strategy for ruling out false positive case reports for certain birth defects that we assessed, but not all of them. Passive surveillance programs can use our findings to develop targeted strategies for improving data quality of specific birth defects using active surveillance methods, thus optimizing limited resources.

Polio, public health memories and temporal dissonance of re-emerging infectious diseases in the global north.

Social science research on polio has been centred in the global south, where countries that remain endemic or vulnerable to outbreaks are located. However, closely-related strains of poliovirus were detected in the sewage systems of several New York State counties and London boroughs in 2022. These detections constituted the first encounters with polio in the United States and United Kingdom for a generation - for both public health agencies and publics alike. This paper takes the transnational spread of poliovirus in 2022 as an opportunity to critique how public health memories of twentieth-century polio epidemics were mobilised to encourage vaccine uptake among groups considered vulnerable to transmission, notably Orthodox Jewish families. The study integrates data collected in London and New York as part of academic engagement with health protection responses to the spread of polio. Methods in both settings involved ethnographic research, and a total of 59 in-depth semi-structured interviews with public health professionals, healthcare providers, and Orthodox Jewish community partners and residents. Analysis of results demonstrate that narratives of epidemiological progress were deployed in public health responses in London and New York, often through references to sugar cubes, iron lungs, and timelines that narrate the impact of routine childhood immunisations. While memories of polio were deployed in both settings to provoke an urgency to vaccinate, vulnerable publics instead considered the more recent legacy of the COVID-19 pandemic when deciding whether to trust recommendations and responses. Critical attention to memory places analysis on the divergences between institutional (public health agencies) and peopled (publics) responses to disease events. Responses to re-emerging infectious disease outbreaks engender a temporal dissonance when historical narratives are evoked in ways that contrast with the contemporary dilemmas of people and parents.

Lost in transition: A protocol for a retrospective, longitudinal cohort study for addressing challenges in opioid treatment for transition-age adults.

BACKGROUND: In the United States, there has been a concerning rise in the prevalence of opioid use disorders (OUD) among transition-age (TA) adults, 18 to 25-years old, with a disproportionate impact on individuals and families covered by Medicaid. Of equal concern, the treatment system continues to underperform for many young people, emphasizing the need to address the treatment challenges faced by this vulnerable population at a pivotal juncture in their life course. Pharmacotherapy is the most effective treatment for OUD, yet notably, observational studies reveal gaps in the receipt of and retention in medications for opioid use disorder (MOUD), resulting in poor outcomes for many TA adults in treatment. Few current studies on OUD treatment quality explicitly consider the influence of individual, organizational, and contextual factors, especially for young people whose social roles and institutional ties remain in flux. METHODS: We introduce a retrospective, longitudinal cohort design to study treatment quality practices and outcomes among approximately 65,000 TA adults entering treatment for OUD between 2012 and 2025 in New York. We propose to combine data from multiple sources, including Medicaid claims and encounter data and a state registry of substance use disorder (SUD) treatment episodes, to examine three aspects of OUD treatment quality: 1) MOUD use, including MOUD option (e.g., buprenorphine, methadone, or extended-release [XR] naltrexone); 2) adherence to pharmacotherapy and retention in treatment; and 3) adverse events (e.g., overdoses). Using rigorous analytical methods, we will provide insights into how variation in treatment practices and outcomes are structured more broadly by multilevel processes related to communities, treatment programs, and characteristics of the patient, as well as their complex interplay. DISCUSSION: Our findings will inform clinical decision making by patients and providers as well as public health responses to the rising number of young adults seeking treatment for OUD amidst the opioid and polysubstance overdose crisis in the U.S.

Demographic and geographic distribution of diabetes and pre-diabetes risk in rural settings: results from a cross-sectional, countywide rural health survey in Sullivan County, New York.

OBJECTIVE: To perform a detailed characterisation of diabetes burden and pre-diabetes risk in a rural county with previously documented poor health outcomes in order to understand the local within-county distribution of diabetes in rural areas of America. DESIGN, SETTING, AND PARTICIPANTS: In 2021, we prospectively mailed health surveys to all households in Sullivan County, a rural county with the second-worst health outcomes of all counties in New York State. Our survey included questions on demographics, medical history and the American Diabetes Association's Pre-diabetes Risk Test. PRIMARY OUTCOME AND METHODS: Our primary outcome was an assessment of diabetes burden within this rural county. To help mitigate non-response bias in our survey, raking adjustments were performed across strata of age, sex, race/ethnicity and health insurance. We analysed diabetes prevalence by demographic characteristics and used geospatial analysis to assess for clustering of diagnosed diabetes cases. RESULTS: After applying raking procedures for the 4725 survey responses, our adjusted diagnosed diabetes prevalence for Sullivan County was 12.9% compared with the 2019 Behavioural Risk Factor Surveillance System (BRFSS) estimate of 8.6%. In this rural area, diagnosed diabetes prevalence was notably higher among non-Hispanic Black (21%) and Hispanic (15%) residents compared with non-Hispanic White (12%) residents. 53% of respondents without a known history of pre-diabetes or diabetes scored as high risk for pre-diabetes. Nearest neighbour analyses revealed that hotspots of diagnosed diabetes were primarily located in the more densely populated areas of this rural county. CONCLUSIONS: Our mailed health survey to all residents in Sullivan County demonstrated higher diabetes prevalence compared with modelled BRFSS estimates that were based on small telephone samples. Our results suggest the need for better diabetes surveillance in rural communities, which may benefit from interventions specifically tailored for improving glycaemic control among rural residents.

Occupational Disease in New York State: The Political Economic Context.

In 1987 Landrigan and Markowitz co-authored a report entitled "Occupational Disease in New York State." They found that death and illness from occupational disease were common and that the costs of exposure to hazardous conditions warranted public funding for new occupational health infrastructure in New York State. A recent confirmatory report recognized a wider spectrum of contemporary hazards and emphasized how public health problems connect to work. These reports provide factual snapshots at 2 points in time, but they do not explain nor analyze the changing conditions they describe. Including macro-contexts such as globalization, financialization, and neoliberalism, this article demonstrates several unique occupational safety and health implications by clarifying key themes related to the state's role, especially regulation and healthcare delivery systems. Conclusions directly tie the trajectory of occupational disease to workers' collective ability to confront and roll back neoliberalism while pushing occupational disease out of its medical/science silo.

Late Identification of Perinatal Transmission of HIV in an Infant at High Risk.

The focus of this case study is the delayed diagnosis of a perinatal HIV transmission, which was identified when the infant reached 4 months of age, and the social conditions and structural determinants that contributed to the increased transmission risk. Despite adhering to the diagnostic testing protocols and neonatal antiretroviral (ARV) guidelines of the New York State Department of Health, this transmission still occurred. This transmission event prompted strategies to address criminalization of substance use during pregnancy and a reevaluation of the HIV testing and treatment protocols, including the timing of testing. Obtaining a diagnostic specimen at birth before initiating prophylactic or presumptive therapy, without causing delays in therapy, and incorporating HIV-1 DNA or RNA testing 2 to 6 weeks after discontinuing ARV therapy might have facilitated earlier detection and a quicker resumption of ARV therapy for this high-risk infant. Subsequently, the New York State HIV perinatal testing guidelines were updated. These changes included the recommendation to obtain a diagnostic specimen at birth before initiating ARV medications, whenever feasible, without causing delays in ARV initiation. Additionally, an extra virologic diagnostic test is recommended at 2 to 6 weeks after discontinuing ARVs for infants at high risk of perinatal HIV transmission, especially those with possible DNA or RNA suppression due to ARV prophylaxis or presumptive HIV therapy.

Epidemiology of Chlamydia trachomatis and Repeat Positivity Following Detection in New York State.

BACKGROUND: In New York State, excluding New York City, chlamydia remains a persistent health concern. Our aim was to characterize chlamydia epidemiology and identify groups at higher risk of repeat positivity to inform targeted public health interventions. METHODS: We analyzed demographic and clinical data of laboratory-confirmed chlamydia cases in New York State from 2015 to 2019. Repeat positivity was defined as a second positive chlamydia test within 31 to 365 days of the initial positive test. We compared characteristics of individuals with single and repeat positivity and evaluated associations with repeat positivity using multivariable logistic regression models. RESULTS: During the study period, 176 273 individuals were diagnosed with chlamydia, with 17 253 experiencing repeat positivity. Repeat positivity was more common among individuals assigned female at birth. Key predictors of repeat positivity among females included non-Hispanic Black (adjusted odds ratio [aOR]: 1.33; 95% confidence interval [CI], 1.27-1.40) race/ethnicity, ages 13 to 19 (aOR: 1.62; 95% CI, 1.55-1.69), prior sexually transmitted infection (STI) diagnosis (aOR: 1.24; 95% CI, 1.18-1.31), symptomatic examination (aOR: 1.07; 95% CI, 1.02-1.13), and county/community (aOR: 1.10; 95% CI, 1.05-1.15) or private/public (aOR: 1.18; 95% CI, 1.11-1.25) provider. Among males, predictors included non-Hispanic Black (aOR: 1.57; 95% CI, 1.45-1.70) race/ethnicity, ages 13 to 19 (aOR: 1.27; 95% CI, 1.17-1.38), HIV coinfection (aOR: 1.30; 95% CI, 1.10-1.54), prior STI diagnosis (aOR: 1.31; 95% CI, 1.20-1.43), extragenital infection site (aOR: 2.59; 95% CI, 2.27-2.95), symptomatic examination (aOR: 1.21; 95% CI, 1.12-1.31), and county/community health (aOR: 1.09; 95% CI, 1.02-1.17) provider. CONCLUSIONS: Our findings provide valuable insights for sexual health interventions to prevent chlamydia transmission and recurrence. Prioritizing resources for prevention interventions and tailored sexual health promotion among non-Hispanic Black individuals is crucial. Additionally, targeted STI prevention efforts are needed for males who have sex with men and those initially diagnosed with extragenital infection. Research is warranted on STI prevention among people living with HIV or at high risk of HIV infection. Strengthening prevention strategies through Expedited Partner Therapy and sexual health education for individuals at risk of repeat positivity could enhance prevention efforts.

Comparing life cycle environmental impacts of food access and consumption pre- and during COVID 19 in New York State's Capital Region.

The COVID-19 pandemic has significantly influenced household food shopping, food consumption, and food waste generation. However, the dietary environmental impacts for different income groups during COVID-19 remain unknown. To analyze dietary environmental impacts for various income groups, a process-based life cycle assessment (LCA) was conducted based on two electronic food access surveys implemented in the New York State's Capital Region during the COVID-19 pandemic and public and proprietary databases. We found that life cycle global warming potential, cumulative energy demand, acidification potential, and water resource depletion of per capital food consumption in the studied area tended to be lower during COVID-19 than pre-COVID-19. In contrast, life cycle eutrophication during COVID-19 was slightly higher than pre-COVID-19. The environmental impacts occurring at the food production stage were higher than those at the local transportation and waste disposal stages. The lowest income group had the lowest dietary environmental impacts due to their lowest food consumption of all the food categories. The second-highest income group had the highest dietary environmental impacts, since they consumed the most red meat which has a high impact intensity. This is the first study to our knowledge to investigate the differences in dietary environmental impacts among income groups during COVID-19.

Differential effects of air pollution exposure on mental health: Historical redlining in New York State.

Growing evidence suggests that ambient air pollution has adverse effects on mental health, yet our understanding of its unequal impact remains limited, especially in areas with historical redlining practices. This study investigates whether the impact of daily fluctuations in ambient air pollutant levels on emergency room (ER) visits for mental disorders (MDs) varies across neighborhoods affected by redlining. Furthermore, we explored how demographic characteristics and ambient temperature may modify the effects of air pollution. To assess the disproportional short-term effects of PM2.5, NO2, and O3 on ER visits across redlining neighborhoods, we used a symmetric bidirectional case-crossover design with a conditional logistic regression model. We analyzed data from 2 million ER visits for MDs between 2005 and 2016 across 17 cities in New York State, where redlining policies were historically implemented. A stratified analysis was performed to examine potential effect modification by individuals' demographic characteristics (sex, age, and race/ethnicity) and ambient temperature. We found that both PM2.5 and NO2 were significantly associated with MD-related ER visits primarily in redlined neighborhoods. Per 10µgm-3 increase in daily PM2.5 and per 10 ppb increase in NO2 concentration were associated with 1.04 % (95 % Confidence Interval (CI): 0.57 %, 1.50 %) and 0.44 % (95 % CI: 0.21 %, 0.67 %) increase in MD-related ER visits in redlined neighborhoods, respectively. We also found significantly greater susceptibility among younger persons (below 18 years old) and adults aged 35-64 among residents in grade C or D, but not in A or B. Furthermore, we found that positive and statistically significant associations between increases in air pollutants (PM2.5 and NO2) and MD-related ER visits exist during medium temperatures (4.90 °C to 21.11 °C), but not in low or high temperature. Exposures to both PM2.5 and NO2 were significantly associated with MD-related ER visits, but these adverse effects were disproportionately pronounced in redlined neighborhoods.

Social networks, social determinants, and mortality: Western New York Exposures and Breast Cancer study.

BACKGROUND: There are few studies of social support and other social determinants of health after breast cancer diagnosis and their associations with mortality; results have been inconclusive. Further, it is not known if observed associations are specific to women with breast cancer diagnosis or if associations would be similar among healthy women. METHODS: Women with incident, pathologically confirmed invasive breast cancer, stage I-IV (n = 1012), and healthy frequency age-matched participants (n = 2036) answered a social support questionnaire in prospective follow-up of a population-based case-control study, the Western New York Exposures and Breast Cancer Study. At interview, all participants were aged 35-79 years and resident of 2 counties in Western New York State. Mortality status was ascertained from the National Death Index. Participants were queried regarding the number of their close friends, frequency of seeing them, household size, household income, and marital status. Hazard ratios (HRs) and 95% confidence intervals (CIs) for breast cancer-specific mortality (breast cancer women only) and all-cause mortality were estimated. RESULTS: Lower household income was associated with higher all-cause mortality among women diagnosed with breast cancer (HR = 2.48, 95% CI = 1.24 to 4.97) and similarly among the healthy women (HR = 2.63, 95% CI = 1.25 to 5.53). Number and frequency of seeing friends, marital status, and household size were not associated with mortality, either among breast cancer patients or among healthy women. CONCLUSION: Among those diagnosed with breast cancer and healthy women, lower income was associated with more than twice the mortality. Marital status, household size, and number or frequency of meeting friends were not associated with survival.

Risk Factors, Use of Revascularization, and Outcomes in Young Adults With ST-Elevation Myocardial Infarction.

The incidence of acute myocardial infarction is increasing in younger age groups, with differences in treatment and outcomes based on gender. ST-elevation myocardial infarction (STEMI) in young adults, however, is incompletely understood as most of the current studies were performed in homogenous populations, did not focus on STEMI, and lack direct comparisons with older adults. We performed a retrospective observational study using the Statewide Planning And Research Cooperative System for all admissions in New York State with a principal diagnosis of STEMI from 2011 to 2018. There were 58,083 STEMIs with the majority being male (68.2%) and non-Hispanic White (64.8%), with an average age of 63.9 ± 13.9 years. Of these, 8,494 (14.6%) occurred in patients aged <50 years. The proportion of STEMIs in women increased with age, from 19.2% in the <50-year-old age group to 48.9% in the ≥70-year-old age group. Young adults with STEMI had greater prevalence of obesity, current tobacco use, other substance use, and major psychiatric disorders, were more likely to receive revascularization, and had lower 1-year mortality than older age groups. Revascularization was associated with at least a 3 times lower odds ratio of 1-year mortality in all age groups. In conclusion, young adults with STEMI had a unique set of risk factors and co-morbidities and were more likely to undergo revascularization than older age groups. In all age groups, female gender was associated with a higher burden of co-morbidities, decreased use of revascularization, and increased 1-year mortality.

Prevalence of contraindicated combinations amid behavioral and mental health medications filled in a pediatric population.

BACKGROUND: Behavioral or mental health disorders are common in children, adolescents, and young adults. Medication use is increasingly common, with few data describing drug-drug combinations in ambulatory settings. The objectives of this study were to describe the pharmaco-epidemiology of behavioral and mental health (BMH) medications among children, adolescents, and young adults in New York Medicaid and assess the prevalence of contraindicated drug pairs within this population. METHODS: This observational cross-sectional study evaluated New York State Medicaid managed care and fee-for-service enrollees under 21 years of age dispensed BMH medications in 2014. Main outcomes included number of members with prescriptions filled; number filling > 1 medication prescription concurrently for ≥ 30 days (polypharmacy), and number and nature of potentially contraindicated drug pairs. RESULTS: Of 2,430,434 children, adolescents, and young adults, 422,486 (17.4%) had a visit associated with a BMH diagnosis and 141,363 (5.8%) received one or more BMH medications. With 84 distinct medications evaluated, polypharmacy was common, experienced by 53,388 individuals (37.8% of those with a prescription filled), generating 11,115 distinct drug combinations. 392 individuals filled prescriptions for a contraindicated pair of ≥ 2 BMH medications for 30 days or longer. With ≥ 1 day overlap, 651 were exposed to contraindicated medications. The most common contraindicated pairs increased potential risk for prolonged QT interval and serotonin syndrome (n = 378 and n = 250 patients, respectively). Most combinations involved ziprasidone (3247.1 per 10,000 ziprasidone prescriptions filled). CONCLUSIONS: With nearly 6% of members dispensed a BMH medication, contraindicated drug pairs were uncommon. However, any of those combinations represent a potential risk. Clinicians should attend to the balance of potential risks and benefits before contraindicated pairs are dispensed. The methodology described could serve as a basis for monitoring such rare instances and might reduce harm.

Neighborhood Deprivation is Associated With Increased Postoperative Complications After Implant-Based Breast Reconstruction.

PURPOSE: The Area Deprivation Index (ADI) ranks neighborhoods by deprivation based on US Census data. This study utilizes ADI scores to investigate the impact of neighborhood deprivation on complication rates following breast reconstruction. PATIENTS AND METHODS: Patients who received implant-based reconstruction from 2019 to 2023 were identified at a single institution in New York. Patients were linked to a state-specific ADI score and categorized into groups: "High ADI" (6-10) and "Low ADI" (1-5). Patient characteristics and complication rates were compared between the ADI groups with Chi-Square analysis and t-tests. The predictive value of ADI scores on complication rates was assessed using logistic regression models. RESULTS: In total, 471 patients were included, of which 16% (n = 73) were in the High ADI group, and 84% (n = 398) were in the Low ADI group. There were no baseline differences between the 2 groups, except that there were more patients of Hispanic descent in the High ADI group (30% vs. 15%, P < .01). The High ADI group had a higher overall complication rate than the Low ADI group (34% vs. 21%, P < .01), as well as higher individual rates of hematoma (12% vs. 3%, P < .01) and unexpected reoperations (18% vs. 7%, P < .01). After adjusting for differences in race, High ADI scores predicted hematoma, reoperations, and any complication (P < .05). CONCLUSION: Patients living in neighborhoods with high ADI had a higher incidence of postoperative complications, independent of comorbidities and race. This measure of disparity should be considered when counselling patients about their risk of complications following procedures like implant-based breast reconstruction.

Evaluation of Posttraumatic Stress Disorder Screening Measures of Emergency Medical Services Clinicians in Urban and Suburban New York During the Coronavirus Disease 2019 Pandemic.

OBJECTIVE: The objective of this study was to assess the psychological impact of the coronavirus disease 2019 (COVID-19) pandemic on the self-reported rates of posttraumatic stress disorder (PTSD) among emergency medical services (EMS) clinicians in urban and suburban settings that were one of the primary epicenters during the first wave of the COVID-19 pandemic. METHODS: Anonymous surveys containing the PTSD Checklist-Specific (PCL-S) were sent electronically between November 2020 and April 2021 to EMS clinicians working in 2 EMS agencies. A threshold score ≥ 36 was considered a positive screen for PTSD symptomology; a score ≥ 44 was considered a presumptive PTSD diagnosis. RESULTS: Of the 214 surveys sent, 107 responses were returned. The total PCL-S scores suggested PTSD symptoms were present in 33% of responding EMS clinicians (95% confidence interval [CI], 24.1%-42.5%), and 25% (95% CI, 17.6%-34.7%) met the criteria for a presumptive diagnosis of PTSD. Regression revealed increasing PCL-S scores were associated with thoughts of job resignation (+3.8; 95% CI, 1.1-6.4; P = .006), whereas lower PCL-S scores were related to the degree that respondents believed emotional support was available at their institution (-3.6; 95% CI, -6.8 to -0.4; P = .03). CONCLUSION: Sixth months after the first wave of the COVID-19 pandemic, one third of participating EMS clinicians screened positive for PTSD symptoms. Pandemic planning must address the mental health of EMS clinicians to reduce subsequent burnout and maintain a healthy workforce.

Fruit and Vegetable Consumption, Food Acquisition Behavior, and Food Insecurity Before and After the COVID-19 Vaccine Rollout.

OBJECTIVES: To assess changes in food acquisition behavior, food insecurity, and dietary behavior and identify factors associated with fruit and vegetable (FV) consumption during the transitional period (before and after the initial vaccine rollout for all adults) of the COVID-19 pandemic. DESIGN: Successive independent samples design. Online surveys were conducted from October 2020 to February 2021 (time 1, before the vaccine rollout) and from October 2021 to December 2021 (time 2, after the vaccine rollout). Descriptive analysis examined changes in food sources, food security, and daily FV consumption in cup equivalents (CEs) from time 1 to time 2. A multivariable logistic regression analysis examined factors associated with FV consumption. SETTING: The Capital Region of New York State. PARTICIPANTS: 1553 adults 18 years of age and older. MAIN OUTCOME MEASURE: Meeting the 2020-2025 MyPlate daily FV consumption recommendations. RESULTS: There were statistically significant (P < .05) increases in the use of supermarkets, eat-in restaurants, farmers' markets, and convenience stores from time 1 to time 2. Food insecurity (40.1% vs 39.4%) and FV consumption (2.6 CE vs 2.4 CE) slightly declined but not significantly. Home food procurement such as gardening and foraging (OR, 1.61; 95% CI, 1.08-2.37) and shopping at food co-op/health food stores (OR, 1.64; 95% CI, 1.07-2.49) were significantly associated with the FV outcome, and these relationships were not modified by food security status. CONCLUSIONS: The present study highlights the importance of food sources in understanding adult dietary behavior during the transitional period of the pandemic. Continuing efforts to monitor access to food sources, food insecurity, and dietary behavior are warranted as various COVID-related emergency food assistance measures have expired.

Impact of Social Determinants of Health on Predictive Models for Outcomes After Congenital Heart Surgery.

BACKGROUND: Despite documented associations between social determinants of health and outcomes post-congenital heart surgery, clinical risk models typically exclude these factors. OBJECTIVES: The study sought to characterize associations between social determinants and operative and longitudinal mortality as well as assess impacts on risk model performance. METHODS: Demographic and clinical data were obtained for all congenital heart surgeries (2006-2021) from locally held Congenital Heart Surgery Collaborative for Longitudinal Outcomes and Utilization of Resources Society of Thoracic Surgeons Congenital Heart Surgery Database data. Neighborhood-level American Community Survey and composite sociodemographic measures were linked by zip code. Model prediction, discrimination, and impact on quality assessment were assessed before and after inclusion of social determinants in models based on the 2020 Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model. RESULTS: Of 14,173 total index operations across New York State, 12,321 cases, representing 10,271 patients at 8 centers, had zip codes for linkage. A total of 327 (2.7%) patients died in the hospital or before 30 days, and 314 children died by December 31, 2021 (total n = 641; 6.2%). Multiple measures of social determinants of health explained as much or more variability in operative and longitudinal mortality than clinical comorbidities or prior cardiac surgery. Inclusion of social determinants minimally improved models' predictive performance (operative: 0.834-0.844; longitudinal 0.808-0.811), but significantly improved model discrimination; 10.0% more survivors and 4.8% more mortalities were appropriately risk classified with inclusion. Wide variation in reclassification was observed by site, resulting in changes in the center performance classification category for 2 of 8 centers. CONCLUSIONS: Although indiscriminate inclusion of social determinants in clinical risk modeling can conceal inequities, thoughtful consideration can help centers understand their performance across populations and guide efforts to improve health equity.

The Joint Effects of Thunderstorms and Power Outages on Respiratory-Related Emergency Visits and Modifying and Mediating Factors of This Relationship.

BACKGROUND: While limited studies have evaluated the health impacts of thunderstorms and power outages (POs) separately, few have assessed their joint effects. We aimed to investigate the individual and joint effects of both thunderstorms and POs on respiratory diseases, to identify disparities by demographics, and to examine the modifications and mediations by meteorological factors and air pollution. METHODS: Distributed lag nonlinear models were used to examine exposures during three periods (i.e., days with both thunderstorms and POs, thunderstorms only, and POs only) in relation to emergency department visits for respiratory diseases (2005-2018) compared to controls (no thunderstorm/no PO) in New York State (NYS) while controlling for confounders. Interactions between thunderstorms and weather factors or air pollutants on health were assessed. The disparities by demographics and seasons and the mediative effects by particulate matter with aerodynamic diameter ≤2.5µm (PM2.5) and relative humidity (RH) were also evaluated. RESULTS: Thunderstorms and POs were independently associated with total and six subtypes of respiratory diseases in NYS [highest risk ratio (RR) = 1.12; 95% confidence interval (CI): 1.08, 1.17], but the impact was stronger when they co-occurred (highest RR = 1.44; 95% CI: 1.22, 1.70), especially during grass weed, ragweed, and tree pollen seasons. The stronger thunderstorm/PO joint effects were observed on chronic obstructive pulmonary diseases, bronchitis, and asthma (lasted 0-10 d) and were higher among residents who lived in rural areas, were uninsured, were of Hispanic ethnicity, were 6-17 or over 65 years old, and during spring and summer. The number of comorbidities was significantly higher by 0.299-0.782/case. Extreme cold/heat, high RH, PM2.5, and ozone concentrations significantly modified the thunderstorm-health effect on both multiplicative and additive scales. Over 35% of the thunderstorm effects were mediated by PM2.5 and RH. CONCLUSION: Thunderstorms accompanied by POs showed the strongest respiratory effects. There were large disparities in thunderstorm-health associations by demographics. Meteorological factors and air pollution levels modified and mediated the thunderstorm-health effects. https://doi.org/10.1289/EHP13237.

Automated cooling tower detection through deep learning for Legionnaires' disease outbreak investigations: a model development and validation study.

BACKGROUND: Cooling towers containing Legionella spp are a high-risk source of Legionnaires' disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer vision model to automatically detect cooling towers that are aerially visible. METHODS: Between Jan 1 and 31, 2021, we extracted satellite view images of Philadelphia (PN, USA) and New York state (NY, USA) from Google Maps and annotated cooling towers to create training datasets. We augmented training data with synthetic data and model-assisted labelling of additional cities. Using 2051 images containing 7292 cooling towers, we trained a two-stage model using YOLOv5, a model that detects objects in images, and EfficientNet-b5, a model that classifies images. We assessed the primary outcomes of sensitivity and positive predictive value (PPV) of the model against manual labelling on test datasets of 548 images, including from two cities not seen in training (Boston [MA, USA] and Athens [GA, USA]). We compared the search speed of the model with that of manual searching by four epidemiologists. FINDINGS: The model identified visible cooling towers with 95·1% sensitivity (95% CI 94·0-96·1) and a PPV of 90·1% (95% CI 90·0-90·2) in New York City and Philadelphia. In Boston, sensitivity was 91·6% (89·2-93·7) and PPV was 80·8% (80·5-81·2). In Athens, sensitivity was 86·9% (75·8-94·2) and PPV was 85·5% (84·2-86·7). For an area of New York City encompassing 45 blocks (0·26 square miles), the model searched more than 600 times faster (7·6 s; 351 potential cooling towers identified) than did human investigators (mean 83·75 min [SD 29·5]; mean 310·8 cooling towers [42·2]). INTERPRETATION: The model could be used to accelerate investigation and source control during outbreaks of Legionnaires' disease through the identification of cooling towers from aerial imagery, potentially preventing additional disease spread. The model has already been used by public health teams for outbreak investigations and to initialise cooling tower registries, which are considered best practice for preventing and responding to outbreaks of Legionnaires' disease. FUNDING: None.