Ambulatory antibiotic prescription rates for acute respiratory infection rebound two years after the start of the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, acute respiratory infection (ARI) antibiotic prescribing in ambulatory care markedly decreased. It is unclear if antibiotic prescription rates will remain lowered. METHODS: We used trend analyses of antibiotics prescribed during and after the first wave of COVID-19 to determine whether ARI antibiotic prescribing rates in ambulatory care have remained suppressed compared to pre-COVID-19 levels. Retrospective data was used from patients with ARI or UTI diagnosis code(s) for their encounter from 298 primary care and 66 urgent care practices within four academic health systems in New York, Wisconsin, and Utah between January 2017 and June 2022. The primary measures included antibiotic prescriptions per 100 non-COVID ARI encounters, encounter volume, prescribing trends, and change from expected trend. RESULTS: At baseline, during and after the first wave, the overall ARI antibiotic prescribing rates were 54.7, 38.5, and 54.7 prescriptions per 100 encounters, respectively. ARI antibiotic prescription rates saw a statistically significant decline after COVID-19 onset (step change -15.2, 95% CI: -19.6 to -4.8). During the first wave, encounter volume decreased 29.4% and, after the first wave, remained decreased by 188%. After the first wave, ARI antibiotic prescription rates were no longer significantly suppressed from baseline (step change 0.01, 95% CI: -6.3 to 6.2). There was no significant difference between UTI antibiotic prescription rates at baseline versus the end of the observation period. CONCLUSIONS: The decline in ARI antibiotic prescribing observed after the onset of COVID-19 was temporary, not mirrored in UTI antibiotic prescribing, and does not represent a long-term change in clinician prescribing behaviors. During a period of heightened awareness of a viral cause of ARI, a substantial and clinically meaningful decrease in clinician antibiotic prescribing was observed. Future efforts in antibiotic stewardship may benefit from continued study of factors leading to this reduction and rebound in prescribing rates.

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.

Epidemiology of sarcoptic mange in a geographically constrained insular red fox population.

BACKGROUND: Sarcoptic mange is a skin disease caused by the contagious ectoparasite Sarcoptes scabiei, capable of suppressing and extirpating wild canid populations. Starting in 2015, we observed a multi-year epizootic of sarcoptic mange affecting a red fox (Vulpes vulpes) population on Fire Island, NY, USA. We explored the ecological factors that contributed to the spread of sarcoptic mange and characterized the epizootic in a landscape where red foxes are geographically constrained. METHODS: We tested for the presence of S. scabiei DNA in skin samples collected from deceased red foxes with lesions visibly consistent with sarcoptic mange disease. We deployed 96-100 remote trail camera stations each year to capture red fox occurrences and used generalized linear mixed-effects models to assess the affects of red fox ecology, human and other wildlife activity, and island geography on the frequency of detecting diseased red foxes. We rated the extent of visual lesions in diseased individuals and mapped the severity and variability of the sarcoptic mange disease. RESULTS: Skin samples that we analyzed demonstrated 99.8% similarity to S. scabiei sequences in GenBank. Our top-ranked model (weight = 0.94) showed that diseased red foxes were detected more frequently close to roadways, close to territories of other diseased red foxes, away from human shelters, and in areas with more mammal activity. There was no evidence that detection rates in humans and their dogs or distance to the nearest red fox den explained the detection rates of diseased red foxes. Although detected infrequently, we observed the most severe signs of sarcoptic mange at the periphery of residential villages. The spread of visual signs of the disease was approximately 7.3 ha/week in 2015 and 12.1 ha/week in 2017. CONCLUSIONS: We quantified two separate outbreaks of sarcoptic mange disease that occurred > 40 km apart and were separated by a year. Sarcoptic mange revealed an unfettered spread across the red fox population. The transmission of S. scabiei mites in this system was likely driven by red fox behaviors and contact between individuals, in line with previous studies. Sarcoptic mange is likely an important contributor to red fox population dynamics within barrier island systems.

Health Care Utilization Prior to Ovarian Cancer Diagnosis in Publicly Insured Individuals in New York State.

Background: Women with early-stage ovarian cancer may be asymptomatic or present with nonspecific symptoms. We examined health care utilization prior to ovarian cancer diagnosis to assess whether women with higher utilization differed in their prognosis and outcomes compared to women with low utilization. Methods: Using Medicaid, Medicare, and New York State Cancer Registry data for ovarian cancer cases diagnosed in 2006-2015, we examined selected health care visits that occurred 1-6 months before ovarian cancer diagnosis. We used multivariable-adjusted logistic regression to estimate odds ratios (ORs) and 95% CIs for associations of sociodemographic factors with number of prediagnostic visits and number of visits with tumor characteristics, and Cox proportional hazards regression to examine differences in survival by number of visits. Results: Women with >5 vs 0 prediagnostic visits were statistically significantly less likely to be diagnosed with distant vs local stage disease (OR, 0.72; 95% CI, 0.54-0.96), and women with 3-5 or >5 vs 0 prediagnostic visits had better overall survival (hazard ratio [HR], 0.88; 95% CI, 0.80-0.96 and HR, 0.90; 95% CI, 0.83-0.98, respectively). In stratified analyses, the association with improved survival was observed only among cases with regional or distant stage disease. Conclusions: Women with high health care utilization prior to ovarian cancer diagnosis may have better prognosis and survival, possibly because of earlier detection or better access to care throughout treatment. Women and their health care providers should not ignore symptoms potentially indicative of ovarian cancer and should be persistent in following up on symptoms that do not resolve.

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.

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.

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.

Risk and Protective Factors for Injury in Adult Front- and Rear-Seated Motor Vehicle Occupants in New York State.

Although seatbelt use is known to reduce motor vehicle occupant crash injury and death, rear-seated adult occupants are less likely to use restraints. This study examines risk and protective factors associated with injury severity in front- and rear-seated adults involved in a motor vehicle crash in New York State. The Crash Outcome Data Evaluation System (CODES) (2016-2017) was used to examine injury severity in front- and rear-seated occupants aged 18 years or older (N = 958,704) involved in a motor vehicle crash. CODES uses probabilistic linkage of New York State hospitalization, emergency department, and police and motorist crash reports. Multivariable logistic regression models with MI analyze employed SAS 9.4. Odds ratios are reported as OR with 95% CI. The mortality rate was approximately 1.5 times higher for rear-seated than front-seated occupants (136.60 vs. 92.45 per 100,000), with rear-seated occupants more frequently unrestrained than front-seated occupants (15.28% vs. 1.70%, p < 0.0001). In adjusted analyses that did not include restraint status, serious injury/death was higher in rear-seated compared to front-seated occupants (OR:1.272, 1.146-1.412), but lower once restraint use was added (OR: 0.851, 0.771-0.939). Unrestrained rear-seated occupants exhibited higher serious injury/death than restrained front-seated occupants. Unrestrained teens aged 18-19 years old exhibit mortality per 100,000 occupants that is more similar to that of the oldest two age groups than to other young and middle-aged adults. Speeding, a drinking driver, and older vehicles were among the independent predictors of serious injury/death. Unrestrained rear-seated adult occupants exhibit higher severe injury/death than restrained front-seated occupants. When restrained, rear-seated occupants are less likely to be seriously injured than restrained front-seated occupants.

Missed Opportunities: Characteristics of People Who Received a Concurrent HIV/AIDS Diagnosis in New York State From 2016 to 2021.

BACKGROUND: Late HIV diagnosis is associated with a wide range of negative outcomes. The aim of this study was to identify the characteristics of individuals who received a concurrent diagnosis (CDX) in New York State (NYS) so that more effective interventions can be developed to encourage earlier testing among these populations. METHODS: The NYS HIV registry was used to identify people who received a CDX from 2016 to 2021. A CDX was a diagnosis that met the criteria for a stage 3 HIV infection within 30 days of the initial HIV diagnosis. Sex at birth, race/ethnicity, transmission risk group, age at diagnosis, region of residence at diagnosis, urbanicity of zip code of diagnosis, and type of diagnosing facility were used as covariates. Bivariate and multivariate risk ratios were calculated to quantify associations between CDX and covariates. RESULTS: There were 14,866 people newly diagnosed with HIV in NYS from 2016 to 2021, of which 19.0% had a CDX. Those with female sex at birth, history of injection drug use, or history of male-to-male sexual contact/history of injection drug use risk were less likely to have a CDX. Increased age, Asian race/ethnicity, residence outside of New York City, and diagnosis at inpatient facilities or emergency rooms were associated with an increased likelihood of a CDX. CONCLUSION: Populations with the highest proportions of CDX were ones that made up a small percentage of all new HIV diagnoses and may not be benefiting as much from current HIV prevention efforts. There are complex interactions between many factors including geographic and social characteristics that may lead to delayed diagnostic testing.

Public Health Response to SARS-CoV-2 in Assisted Living Facilities in New York State: March 2020-December 2022.

CONTEXT: Assisted living facility (ALF) residents are especially vulnerable to SARS-CoV-2 infection due to the age and comorbidities of the resident population and the social nature of these facilities. OBJECTIVE: To collate all New York State Department of Health guidance and regulations to control transmission of SARS-CoV-2 infection within ALFs from March 2020 through December 2022 and to include US Food and Drug Administration COVID-19 testing and vaccine authorizations. DESIGN: A narrative chronological review of all New York State Department of Health guidance. RESULTS: Documents and associated guidance and regulations are divided into 4 sections: (1) lockdown until COVID-19 vaccine emergency use authorization; (2) COVID-19 vaccine authorization until phased reopening; (3) phased reopening, vaccination requirements, and booster vaccination; (4) the period of the bivalent booster. CONCLUSION: Controlling the spread of SARS-CoV-2 within ALFs required a multifactorial approach that included stringent infection control measures, testing, and vaccination and careful attention to the social structure and support systems within ALFs. The SARS-CoV-2 pandemic highlighted the complexity of controlling spread of an easily transmissible respiratory pathogen in assisted living communities and the need to structure infection control programs within the diverse ALFs that provide care for our aging population.

Estimating the return on investment of the New York Tobacco Control Programme: a synthetic control study.

OBJECTIVE: To assess the return on investment (ROI) of the New York Tobacco Control Programme (NY TCP). SETTING: New York and other states of the USA. INTERVENTIONS: NY TCP. OUTCOMES: Smoking prevalence, smoking-attributable healthcare expenditures (SAEs), smoking-attributable mortality, years of life lost (YLL), the dollar value of YLL and the ROI for healthcare expenditures and mortality. DESIGN AND METHODS: We used a synthetic control method to estimate the effectiveness of NY TCP funding on smoking prevalence. The synthetic control method created a comparison group that best matched the adult smoking prevalence trend in New York state in the period prior to implementation of the NY TCP and compared smoking prevalence in the state to smoking prevalence in the synthetic control in the period after treatment (2001-2019). The synthetic control group represents what the trend in smoking prevalence in New York would have been had there been no tobacco control expenditures. The ROI was calculated as net savings for each outcome divided by net programme expenditures. RESULTS: Cumulative savings in SAE in New York from 2001 to 2019 amounted to US$13.2 billion. An estimated 41 771 smoking-attributable deaths (SADs) were averted in New York from 2001 to 2019, and an estimated 672 141 YLL averted as a result of NY TCP funding in the same period. From 2001 to 2019, the ROI for SAE in New York was approximately 14, the economic value ROI of the YLL due to SAD was nearly 145 and the combined ROI was almost 160. CONCLUSIONS: In this study, we found relatively large ROIs for the NY TCP, which suggests that the programme-which lowers SAE and saves lives-is an efficient use of public funds.

Should Transport Ventilators Be Used in Times of Crisis? The Use of Emergency Authorized Nonconventional Ventilators Is Associated With Mortality Among Patients With COVID-19 Acute Respiratory Distress Syndrome.

OBJECTIVES: Nonconventional ventilators (NCVs), defined here as transport ventilators and certain noninvasive positive pressure devices, were used extensively as crisis-time ventilators for intubated patients with COVID-19. We assessed whether there was an association between the use of NCV and higher mortality, independent of other factors. DESIGN: This is a multicenter retrospective observational study. SETTING: The sample was recruited from a single healthcare system in New York. The recruitment period spanned from March 1, 2020, to April 30, 2020. PATIENTS: The sample includes patients who were intubated for COVID-19 acute respiratory distress syndrome (ARDS). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was 28-day in-hospital mortality. Multivariable logistic regression was used to derive the odds of mortality among patients managed exclusively with NCV throughout their ventilation period compared with the remainder of the sample while adjusting for other factors. A secondary analysis was also done, in which the mortality of a subset of the sample exclusively ventilated with NCV was compared with that of a propensity score-matched subset of the control group. Exclusive use of NCV was associated with a higher 28-day in-hospital mortality while adjusting for confounders in the regression analysis (odds ratio, 1.41; 95% CI [1.07-1.86]). In the propensity score matching analysis, the mortality of patients exclusively ventilated with NCV was 68.9%, and that of the control was 60.7% ( p = 0.02). CONCLUSIONS: Use of NCV was associated with increased mortality among patients with COVID-19 ARDS. More lives may be saved during future ventilator shortages if more full-feature ICU ventilators, rather than NCVs, are reserved in national and local stockpiles.

Covid-19 patterns among adults with intellectual and developmental disability and the general population in New York state during the first year of the pandemic.

BACKGROUND: People with intellectual and developmental disabilities (IDD) in the US, especially those living in group homes, experienced comparatively higher Covid-19 case/case fatality rates than the general population during the first year of the pandemic. There is no information about the patterns of case/case fatality rates during this time. OBJECTIVE: This study compared Covid-19 case/case fatality rates among people with IDD living in residential group homes to the general population across the first year of the pandemic in New York State (NYS). METHODS: Covid-19 positive cases and deaths collected from New York Disability Advocates (NYDA), a coalition of organizations serving individuals with IDD, was compared to data for the NYS general population from the first pandemic year. Case rates/100,000 and case fatality rates were calculated for the study period. Joinpoint Trend Analysis Software was used to analyze patterns in weekly case/case fatality rates. RESULTS: Case fatality rates for people with IDD were higher than for the overall state population throughout the pandemic's first year. Case rates were higher among people with IDD across most of this year. Although the patterns in rates were similar, there was a sharp increase in cases for those with IDD during Fall 2020 beginning eight weeks before the general NYS population and a significant decrease in fatalities in late December 2020 into January 2021. CONCLUSIONS: Consistently higher case fatality rates and significant differences in case/case fatality rates for people with IDD living in group homes require further consideration. Planning for future emergencies will require an enhanced federal/state understanding of the needs of people with IDD and a responsive surveillance system.

Total hip arthroplasty outcomes in Ehlers-Danlos patients: data from the Statewide Planning and Research Cooperative System.

INTRODUCTION: Ehlers-Danlos syndromes (EDS) are genetic connective tissue disorders affecting multiple organ systems that frequently result in connective tissue hyperlaxity and early osteoarthritis. Short- and long-term outcomes after primary total hip arthroplasty (THA) in this patient population remain poorly characterised. The primary purpose of this study is to compare postoperative outcomes and survivorship after primary THA in patients with and without EDS. METHODS: The New York Statewide Planning and Research Cooperative System (SPARCS) database was queried for all patients undergoing primary elective THA between September 2009 and December 2020. Patients with EDS were identified using ICD9 and ICD10 diagnosis codes. Given the relatively low incidence of EDS in this patient population, the cohort was propensity-matched 1:10 to patients without diagnosis of EDS based on demographics characteristics and medical comorbidities as measured by the Elixhauser Comorbidity Index. RESULTS: A total of 66 THA patients with and 660 without EDS were included in each group after 1:10 propensity-matching. There were no significant differences in baseline characteristics or THA indications. Early postoperative outcomes such as length of hospital stay and discharge disposition were similar. Emergency Room visits and inpatient readmission rates at 3 months postoperatively did not significantly differ between groups. Patients with EDS had a higher overall revision rate compared to those without (15.0% vs. 3.2%, p < 0.001). Revision free survival after primary THA in patients with EDS was significantly lower than those without EDS at 9-year follow-up. Cox proportional hazard regression demonstrated EDS patients had 7-times higher risk of revision (hazard ratio [HR] 7.43; 95% CI, 3.46-16.00; p < 0.001). Lastly, revision due to instability insignificantly trended higher in the EDS cohort (HR 2.29; 95% CI, 0.95-5.49; p = 0.063). CONCLUSIONS: EDS patients undergoing primary THA have increased rate of all cause revision and demonstrate decreased revision free survival compared to non-EDS THA patients.

Hidden danger: The long-term effect of ultrafine particles on mortality and its sociodemographic disparities in New York State.

Although previous studies have shown increased health risks of particulate matters, few have evaluated the long-term health impacts of ultrafine particles (UFPs or PM0.1, ≤ 0.1 µm in diameter). This study assessed the association between long-term exposure to UFPs and mortality in New York State (NYS), including total non-accidental and cause-specific mortalities, sociodemographic disparities and seasonal trends. Collecting data from a comprehensive chemical transport model and NYS Vital Records, we used the interquartile range (IQR) and high-level UFPs (≥75 % percentile) as indicators to link with mortalities. Our modified difference-in-difference model controlled for other pollutants, meteorological factors, spatial and temporal confounders. The findings indicate that long-term UFPs exposure significantly increases the risk of non-accidental mortality (RR=1.10, 95 % CI: 1.05, 1.17), cardiovascular mortality (RR=1.11, 95 % CI: 1.05, 1.18) particularly for cerebrovascular (RR=1.21, 95 % CI: 1.10, 1.35) and pulmonary heart diseases (RR=1.33, 95 % CI: 1.13, 1.57), and respiratory mortality (borderline significance, RR=1.09, 95 % CI: 1.00, 1.18). Hispanics (RR=1.13, 95 % CI: 1.00, 1.29) and non-Hispanic Blacks (RR=1.40, 95 % CI: 1.16, 1.68) experienced significantly higher mortality risk after exposure to UFPs, compared to non-Hispanic Whites. Children under five, older adults, non-NYC residents, and winter seasons are more susceptible to UFPs' effects.

The association between intolerance of uncertainty and depressive symptoms during COVID-19 in New York, USA.

BACKGROUND: Coronavirus Disease 2019 (COVID-19), a highly contagious respiratory illnesses, has globally impacted mental health. This study aims to investigate the association between intolerance of uncertainty and depressive symptoms during the pandemic in New York, USA, considering COVID-19-related worries as modifiers and mediators. METHOD: 1227 participants from three ongoing cohort studies, originally centered on trauma-exposed children and adolescents, provided data via questionnaires and telephone interviews across three waves. We used multivariable logistic and linear regression models to investigate the intolerance of uncertainty-depressive symptoms relationship, while adjusting for potential confounders and assessing the modification and mediation effects of Covid-19 related worries. RESULTS: Depressive symptoms prevalence was 18 %, 12 %, and 9 % at waves 0, 1, and 2 respectively. Strong positive associations were observed between intolerance of uncertainty above the median and depressive symptoms which remained significant after adjusting for potential confounders. Odds ratios were 2.14 (95 % CI: 1.54-2.99) and 4.50 (95 % CI: 2.67-7.93) for intolerance of uncertainty-depressive symptoms association at wave 0 and 1 respectively, and 3.22 (95 % CI: 1.68-6.63) for intolerance of uncertainty at wave 1 and depressive symptoms at wave 2. There was evidence of partial mediation by worries (12-37 %), but no evidence of a moderating effect. LIMITATION: It includes study's methodology, including self-report measures, remote data collection, and uncontrolled variables like anxiety and COVID-19 perspectives. CONCLUSION: The findings emphasize the importance of evidence-based strategies for tackling intolerance of uncertainty during pandemics, particularly in managing long COVID. Collaborative efforts between policymakers and clinicians are essential in this endeavor.

Association between maternal cigarette smoking cessation and risk of preterm birth in Western New York.

BACKGROUND: Although many studies suggested the benefit of smoking cessation among pregnant women in reducing the risk of preterm birth (PTB), the timing of the effect of the cessation remains inconclusive. OBJECTIVES: To examine the association of trimester-specific smoking cessation behaviours with PTB risk. METHODS: We included 199,453 live births in Western New York between 2004 and 2018. Based on self-reported cigarette smoking during preconception and in each trimester, we created six mutually exclusive groups: non-smokers, quitters in each trimester, those who smoked throughout pregnancy, and inconsistent smokers. Risk ratios (RRs) and 95% confidence intervals (CIs) were estimated using Poisson regression to examine the association between smoking cessation and PTB. Effect modification by illegal drug use, maternal age, race and ethnicity and pre-pregnancy body mass index (BMI) was investigated multiplicatively by ratio of relative risk and additively by relative excess risk due to interaction (RERI). RESULTS: Overall, 6.7% of women had a PTB; 14.1% smoked throughout pregnancy and 3.4%, 1.8% and 0.8% reported quitting smoking during the first, second and third trimesters, respectively. Compared to non-smokers, third-trimester cessation (RR 1.20, 95% CI 1.01, 1.43) and smoking throughout pregnancy (RR 1.27, 95% CI 1.21, 1.33) were associated with a higher PTB risk, while quitting smoking during the first or second trimester, or inconsistent smoking was not associated with PTB. A positive additive interaction was identified for maternal age and late smoking cessation or smoking throughout pregnancy on PTB risk (RERI 0.17, 95% CI 0.00, 0.36), and a negative interaction was observed for pre-pregnancy BMI ≥30 kg/m2 (ratio of relative risk 0.70, 95% CI 0.63, 0.78; RERI -0.42, 95% CI -0.56, -0.30). CONCLUSION: Compared to non-smokers, smoking throughout pregnancy and third-trimester smoking cessation are associated with an increased risk of PTB, while quitting before the third trimester may not increase PTB risk.

Prevalence and prognostic impact of complex percutaneous coronary intervention among octogenarians.

BACKGROUND: The number of octogenarians referred to percutaneous coronary interventions (PCI) is rising steadily. The prevalence and prognostic impact of complex PCI (CPCI) in this vulnerable population has not been fully evaluated. METHODS: Patients ≥80 years old who underwent PCI between 2012 and 2019 at Mount Sinai Hospital were included. Patients were categorized based on PCI complexity, defined as the presence of at least one of the following criteria: use of atherectomy, total stent length ≥60 mm, ≥3 stents implanted, bifurcation treated with at least 2 stents, PCI involving ≥3 vessels, ≥3 lesions, left main, saphenous vein graft or chronic total occlusion. The primary outcome was major adverse cardiovascular events (MACE), a composite of all-cause death, myocardial infarction (MI), or target-vessel revascularization (TVR), within 1 year after PCI. Secondary outcomes included major bleeding. RESULTS: Among 2657 octogenarians, 1387 (52%) underwent CPCI and were more likely to be men and to have cardiovascular risk factors or comorbidities. CPCI as compared with no-CPCI was associated with a higher 1-year risk of MACE (16.6% vs. 11.1%, adjusted HR 1.3, 95% CI 1.06-1.77, p value 0.017), due to an excess of MI and TVR, and major bleeding (10% vs. 5.8%, adjusted HR 1.64, 95% CI 1.20-2.55, p value 0.002). CONCLUSIONS: Among octogenarians, CPCI was associated with a significantly higher 1-year risk of MACE, due to higher rates of MI and TVR but not of all-cause death, and of major bleeding. Strategies to reduce complications should be implemented in octogenarians undergoing CPCI.