Buprenorphine-Precipitated Withdrawal Among Hospitalized Patients Using Fentanyl.

Importance: Buprenorphine treatment of opioid use disorder (OUD) is safe and effective, but opioid withdrawal during treatment initiation is associated with poor retention in care. As fentanyl has replaced heroin in the drug supply, case reports and surveys have indicated increased concern for buprenorphine-precipitated withdrawal (PW); however, some observational studies have found a low incidence of PW. Objective: To estimate buprenorphine PW incidence and assess factors associated with PW among emergency department (ED) or hospitalized patients. Design, Setting, and Participants: This retrospective cohort study at 3 academic hospitals in Philadelphia, Pennsylvania, included adults with OUD who underwent traditional or high-dose buprenorphine initiation between January 1, 2020, and December 31, 2021. Exclusion criteria included low-dose buprenorphine initiation and missing documentation of opioid withdrawal severity within 4 hours of receiving buprenorphine. Exposure: Buprenorphine initiation with an initial dose of at least 2 mg of sublingual buprenorphine after a Clinical Opiate Withdrawal Scale (COWS) score of 8 or higher. Additional exposures included 4 predefined factors potentially associated with PW: severity of opioid withdrawal before buprenorphine (COWS score of 8-12 vs ≥13), initial buprenorphine dose (2 vs 4 or ≥8 mg), body mass index (BMI) (<25 vs 25 to <30 or ≥30; calculated as weight in kilograms divided by height in meters squared), and urine fentanyl concentration (0 to <20 vs 20 to <200 or ≥200 ng/mL). Main Outcome and Measures: The main outcome was PW incidence, defined as a 5-point or greater increase in COWS score from immediately before to within 4 hours after buprenorphine initiation. Logistic regression was used to estimate the odds of PW associated with the 4 aforementioned predefined factors. Results: The cohort included 226 patients (150 [66.4%] male; mean [SD] age, 38.6 [10.8] years). Overall, 26 patients (11.5%) met criteria for PW. Among patients with PW, median change in COWS score was 9 points (IQR, 6-13 points). Of 123 patients with confirmed fentanyl use, 20 (16.3%) had PW. In unadjusted and adjusted models, BMI of 30 or greater compared with less than 25 (adjusted odds ratio [AOR], 5.12; 95% CI, 1.31-19.92) and urine fentanyl concentration of 200 ng/mL or greater compared with less than 20 ng/mL (AOR, 8.37; 95% CI, 1.60-43.89) were associated with PW. Conclusions and Relevance: In this retrospective cohort study, 11.5% of patients developed PW after buprenorphine initiation in ED or hospital settings. Future studies should confirm the rate of PW and assess whether bioaccumulated fentanyl is a risk factor for PW.

A two-variant model of SARS-COV-2 transmission: estimating the characteristics of a newly emerging strain.

BACKGROUND: The Covid-19 pandemic has been characterized by the emergence of novel SARS-CoV-2 variants, each with distinct properties influencing transmission dynamics, immune escape, and virulence, which, in turn, influence their impact on local populations. Swift analysis of the properties of newly emerged variants is essential in the initial days and weeks to enhance readiness and facilitate the scaling of clinical and public health system responses. METHODS: This paper introduces a two-variant metapopulation compartmental model of disease transmission to simulate the dynamics of disease transmission during a period of transition to a newly dominant strain. Leveraging novel S-gene dropout analysis data and genomic sequencing data, combined with confirmed Covid-19 case data, we estimate the epidemiological characteristics of the Omicron variant, which replaced the Delta variant in late 2021 in Philadelphia, PA. We utilized a grid-search method to identify plausible combinations of model parameters, followed by an ensemble adjustment Kalman filter for parameter inference. RESULTS: The model successfully estimated key epidemiological parameters; we estimated the ascertainment rate of 0.22 (95% credible interval 0.15-0.29) and transmission rate of 5.0 (95% CI 2.4-6.6) for the Omicron variant. CONCLUSIONS: The study demonstrates the potential for this model-inference framework to provide real-time insights during the emergence of novel variants, aiding in timely public health responses.

Comparing mapped park and greenspace boundaries in Philadelphia: implications for exposure assessment in health studies.

An important consideration in studies of the relationship between greenspace exposure and health is the use of mapped data to assign geographic exposures to participants. Previous studies have used validated data from municipal park departments to describe the boundaries of public greenspaces. However, this approach assumes that these data accurately describe park boundaries, that formal parks fully capture the park and greenspace exposure of residents, and (for studies that use personal GPS traces to assign participant exposures) that time spent within these boundaries represents time spent in greenspace. These assumptions are tested using a comparison and ground-truthing of four sources of mapped park and greenspace data in Philadelphia, Pennsylvania: PAD-US-AR, Philadelphia Parks and Recreation, the Delaware Valley Regional Planning Commission, and Open Street Maps. We find several important differences and tradeoffs in these data: the incorporation of highways and building lots within park boundaries, the inclusion or exclusion of formal park spaces (federal, state, and nonprofit), the exclusion of informal parks and greenspaces, and inconsistent boundaries for a linear park. Health researchers may wish to consider these issues when conducting studies using boundary data to assign park exposure.

The Impact of the COVID-19 Pandemic on Staffing Levels in Philadelphia Nursing Homes: Disparities Based on the Racial Composition of Geographical Areas.

Research to assess and inform health policy is an essential component of the policymaking process to advance equity in public health practice. This study investigated health disparities during the COVID-19 pandemic (2020-2022) in older adult institutional settings in Philadelphia, PA, to inform policy initiatives, interventions, and infrastructure development. We first explored the changing patterns of nursing staffing levels (total direct care staff and registered nurses [RNs]) measured by hours per resident per day (HPRD) before and after COVID-19. Our findings revealed that HPRD levels consistently fell below the Centers for Medicare and Medicaid Services recommended standards from 2018 to 2022, with notable declines observed starting from 2021. Results from multilevel modeling showed significant declines in HPRD for total direct care nursing staff in nursing homes located in zip codes with a high proportion of Black residents (≥40%). In contrast, HPRD for RNs significantly declined in nursing homes located in zip codes with a lower proportion of Black residents (<40%). Moreover, higher reported direct care HPRD and RN HPRD were associated with any reported COVID-19 cases only within zip codes with a low proportion of Black residents. These findings indicate the need for additional policies to address these observed patterns in staffing levels. Our study provides a foundation for future policy reviews utilizing a conceptual framework that is health equity-centric for local and state health departments program and units intended for institutional care settings for older adults.

Area Deprivation and Disease Severity in Adult Patients With Discoid Lupus Erythematosus.

Importance: The association of area deprivation with outcomes in discoid lupus erythematosus (DLE) remains poorly understood. Objective: To determine the association between US Census block measures of deprivation and disease severity in adult patients with DLE. Design, Setting, and Participants: This cross-sectional study included 154 patients with DLE seen between January 1, 2007, and January 1, 2024, at a single-center referral-based specialty rheumatologic-dermatology clinic in Philadelphia, Pennsylvania. Patients were aged 18 to 73 years and were enrolled in the University of Pennsylvania's Cutaneous Lupus Erythematosus Database study. Data were analyzed between January 1, 2024, and May 8, 2024. Exposures: Residence in a highly disadvantaged area as geocoded by a state area deprivation index (ADI). Main Outcomes and Measures: The main outcome was DLE disease severity as codified by the validated Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) damage and activity scores. Results: A total of 154 adult patients with DLE (128 women [83%] and 26 men [17%]; mean [SD] age, 43 [13] years; 6 [4%] Asian individuals, 98 [64%] Black individuals, 2 [1%] Hispanic individuals, 46 [30%] White individuals, and 2 individuals [1%] with other race or ethnicity; 78 [51%] with an ADI >5; 43 who currently smoked [28%];and 56 [36%] with concurrent systemic lupus erythematosus) were included in the analysis. By multivariable logistic regression, residence within communities with an ADI greater than 5 was associated with nearly 4-fold greater odds of moderate to severe damage (odds ratio [OR], 3.90; 95% CI, 1.27-12.69] and activity (OR, 3.31; 95% CI, 1.27-9.44). Concurrent cigarette smoking was similarly associated with greater odds of moderate to severe damage (OR, 3.15; 95% CI, 1.09-10.29). After controlling for ADI and other confounders, race was not significantly associated with DLE disease severity. Conclusions and Relevance: The results of this cross-sectional study suggest that geospatial disadvantage is associated with DLE disease severity independent of race. This invites a paradigm shift that considers the social context within which racial disparities are observed, highlighting the potential for geographically targeted interventions and policy changes to improve patient outcomes in DLE.

Associations of PM2.5 exposure with emergency department visits and readmissions among preterm infants with bronchopulmonary dysplasia.

OBJECTIVES: To quantify the association of ambient air pollution (particulate matter, PM2.5) exposure with medically attended acute respiratory illness among infants with bronchopulmonary dysplasia (BPD). STUDY DESIGN: Single center, retrospective cohort study of preterm infants with BPD in Metropolitan Philadelphia. Multivariable logistic regression quantified associations of annual mean PM2.5 exposure (per µg/m3) at the census block group level with medically attended acute respiratory illness, defined as emergency department (ED) visits or hospital readmissions within a year after first hospital discharge adjusting for age at neonatal intensive care unit (NICU) discharge, year, sex, race, insurance, BPD severity, and census tract deprivation. As a secondary analysis, we examined whether BPD severity modified the associations. RESULTS: Of the 378 infants included in the analysis, 189 were non-Hispanic Black and 235 were publicly insured. Census block PM2.5 level was not significantly associated with medically attended acute respiratory illnesses, ED visits, or hospital readmissions in the full study cohort. We observed significant effect modification by BPD grade; each 1 µg/m3 higher annual PM2.5 exposure was medically attended acute respiratory illness (adjusted odds ratio [aOR] 1.65, 95% CI: 1.06-2.63) among infants with Grade 1 BPD but not among infants with grade 3 BPD (aOR 0.83, 95% CI: 0.47-1.48) (interaction p = .024). CONCLUSIONS: Cumulative PM2.5 exposure in the year after NICU discharge was not significantly associated with medically attended acute respiratory illness among infants with BPD. However, infants with Grade 1 BPD had significantly higher odds with higher exposures. If replicated, these findings could inform anticipatory guidance for families of these infants to avoid outdoor activities during high pollution days after NICU discharge.

Long-Term POTS Outcomes Survey: Diagnosis, Therapy, and Clinical Outcomes.

BACKGROUND: Limited data exist on long-term outcomes in individuals with postural orthostatic tachycardia syndrome (POTS). We designed an electronic questionnaire assessing various aspects of outcomes among patients diagnosed and treated in a single-center pediatric POTS clinical program. METHODS AND RESULTS: The LT-POTS (Long Term POTS Outcomes Survey) included questions about quality of life, symptoms, therapies, education, employment, and social impact of disease. Patients age≤18 years at POTS diagnosis who were managed in the Children's Hospital of Philadelphia POTS Program were included. A total of 227 patients with POTS responded with sufficient data for interpretation. The mean age of respondents was 21.8±3.5 years. The median age of symptom onset was 13 (interquartile range 11-14) years, with mean 9.6±3.4 years symptom duration. Multiple cardiovascular, neurologic, and gastrointestinal symptoms were reported. Symptom prevalence and severity were worse for female patients, with 99% of patients reporting ongoing symptoms. Quality of life showed moderate function and limitation, with more severe limitations in energy/fatigue and general health. Nearly three quarters of patients had diagnostic delays, and over half were told that their symptoms were "in their head." Multiple medications were used and were felt to be effective, whereas fewer nonpharmacologic interventions demonstrated efficacy. Nearly 90% of patients required continued nonpharmacologic therapy to control symptoms. CONCLUSIONS: POTS is a chronic disorder leading to significant disability with a range of multisystem problems. Although symptoms can be modifiable, it rarely spontaneously resolves. Improved understanding of POTS presentation and therapeutic approaches may inform provider education, improve diagnostic success, and help patients self-advocate for appropriate medical management approaches.

Psychosocial Risks and Adolescent Mental Health: The Moderating Role of Objective Neighborhood Characteristics.

PURPOSE: Although previous studies have examined the association between youth psychosocial risks and their perceptions of their neighborhood, it is unclear how objective neighborhood characteristics are associated with psychosocial risks and mental health symptoms among adolescents. We investigated how neighborhood characteristics moderate the relationship between youth psychosocial characteristics and mental health symptoms. METHODS: This cross-sectional study examined 13,837 emergency department visits by 14-18-year-olds who completed a standardized Behavioral Health Screening in a tertiary pediatric hospital in Philadelphia from 2013 to 2020. Psychosocial risk factors and mental health symptoms were assessed based on self-reported survey responses. We characterized neighborhoods as low-, moderate-, and high-stress based on gun violence incidence from 2013 to 2020 and the census tract-level Child Opportunity Index. Mixed effects logistic regression and Poisson models were used to examine moderation effects. RESULTS: The 9,814 included patients were 64% female and 64% non-Hispanic Black. The following psychosocial risk factors were associated with two to eight times higher odds of depressive symptoms and suicide risk: exposure to trauma, bullying at school, at-risk substance use, fighting, and retaliation. Adolescents living in high-stress neighborhoods were twice as likely to report fighting and retaliation and reported more psychosocial risk factors than those in low-stress neighborhoods. Odds of mental health symptoms increased with the number of psychosocial risk factors, particularly in youth from low-stress neighborhoods. DISCUSSION: Objective neighborhood characteristics had a significant interaction effect on the relationship between psychosocial risks and depression and suicide risk among adolescents seeking care in a pediatric emergency department.

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.

The Mobile Overdose Response Program: A mobile, low-threshold opioid use disorder treatment model in Philadelphia.

INTRODUCTION: Low-threshold substance use treatment programs may help overcome barriers for marginalized individuals. The aims of this study were to 1) describe participant characteristics and treatment outcomes for a multi-site, Philadelphia-based mobile program providing street-based buprenorphine initiation, stabilization, and referral to ongoing care and 2) examine associations between patient characteristics and successful linkage. METHODS: We conducted a retrospective cohort study of patients receiving buprenorphine through Prevention Point Philadelphia's mobile overdose response program from 9/2020-12/2021. We abstracted electronic medical record data, including patient characteristics, mobile program treatment, and care linkage. We used descriptive statistics to characterize the sample and assessed the association between patient characteristics and successful care linkage using multi-variable logistic regression. RESULTS: Two hundred thirty-seven patients initiated buprenorphine in the program across six sites. Mean age was 46. Participants were majority men (67 %); 59 % identified as Black, 33 % identified as White, and 15 % reported Hispanic ethnicity. Most were publicly insured (74 %) and 30 % were unstably housed. Basedline engagement in primary care (32 %), psychiatric treatment (5 %), and counseling (2 %) were low. Most participants reported heroin or fentanyl use at intake (87 %), with high rates of IV drug use (37 %)., and co-occurring substance use and prior buprenorphine treatment experience were common.. 86 % completed ≥1 mobile follow-up visit, and 69 % completed ≥4 mobile program visits. 51 % of patients attended at least one visit at an outside site, and 30 % had ≥2 visits for buprenorphine prescriptions at an outside site. 35 % of the referrals were internal, meaning they went to University-based practices staffed by the mobile unit physicians. In a multivariable logistic regression model, internal referral was associated with significantly increased odds of effective care linkage (aOR 2.47, 95 % CI 1.20-5.09). CONCLUSIONS: Targeted community outreach with low-threshold substance use care facilitated treatment access among marginalized individuals. Participants showed high levels of engagement with the mobile program, but rates of outside care linkage, while comparable to retention in other low-threshold models, were lower. The only predictor of effective care linkage was referral to brick-and-mortar clinics staffed by mobile unit physicians. These findings support the importance of outreach beyond traditional health care settings to engage high-risk patients with OUD.

Factors Associated With Perinatal Hepatitis C Screening Among Exposed Children: 2016-2020.

BACKGROUND AND OBJECTIVES: Children perinatally exposed to hepatitis C virus (HCV) should be screened for infection, yet testing rates are low. Clinical perinatal HCV testing recommendations vary and may contribute to poor completion. This study examines pediatric care factors associated with perinatal HCV testing completion. METHODS: A cohort of people living with HCV in Philadelphia, Pennsylvania, who delivered a live birth in 2016 to 2020 and their children were followed by the Philadelphia Department of Public Health. The association of completion of HCV screening with pregnant/postpartum person demographics, pediatric care factors, and testing policy were retrospectively explored. χ2 and multivariable logistic regressions were used. RESULTS: HCV-positive pregnant people gave birth to 457 children of whom 307 (67.2%) were tested for HCV according to recommendations and 79 (17.2%) were inadequately tested. Children were more likely to be tested if born to a pregnant person with HIV coinfection (P = .007), if they were always on schedule for vaccinations (P < .001), and if they attended the 18-month well visit (P < .001). Completion rates varied significantly by pediatrician's testing policy: 90.9% tested if the policy was for 2 months, 79.6% if 2 to 12 months, 61.9% if 12 months, and 58.5% if 18 months of age (P < .001). CONCLUSIONS: Timing of perinatal HCV testing policies was significantly associated with testing completion rates. Testing at 2 months was associated with far better HCV testing completion than other strategies, regardless of birthing person and pediatrician factors. These findings suggest routine HCV testing of children perinatally exposed to HCV is best achieved in the first year of life.

The path from mood symptoms to substance use: A longitudinal examination in individuals with and at risk for bipolar spectrum disorders.

BACKGROUND: Adolescent substance use poses a critical public health challenge, intertwined with risk-taking behavior, criminality, functional impairment, and comorbid mental and physical health issues. Adolescents with bipolar spectrum disorders (BSD) exhibit heightened susceptibility to substance use, necessitating a nuanced exploration of the bipolar-substance use relationship. METHODS: This study addressed gaps in the literature by employing a prospective, longitudinal design with 443 Philadelphia-area adolescents, tracking BSD symptoms and substance use. We predicted that BSD symptoms would be associated with increases in substance use, and that these effects would be more pronounced for individuals with a BSD and those with high reward sensitivity. RESULTS: Hypomanic symptoms predicted subsequent substance use, with a stronger association observed in individuals diagnosed with BSD. Contrary to expectations, depressive symptoms did not exhibit a similar relationship. Although the hypothesized moderating role of reward sensitivity was not supported, higher reward sensitivity predicted increased substance use. LIMITATIONS: Symptoms and substance use are only captured for the month prior to each session due to the assessment timeline. This highlights the benefits of frequent assessments over a shorter time frame to monitor real-time changes. Alternative classification methods for reward sensitivity, such as brain or behavior-based assessments, might yield different results. CONCLUSIONS: This study's contributions include evaluating substance use broadly, utilizing a longitudinal design for temporal clarity, and shifting the focus from substance use predicting mood symptoms to the inverse. The findings underscore the need for continued exploration of mood symptom predictors of substance use, emphasizing the role of reward sensitivity.

Area-Level Social Vulnerability and Severe COVID-19: A Case-Control Study Using Electronic Health Records from Multiple Health Systems in the Southeastern Pennsylvania Region.

Knowledge about neighborhood characteristics that predict disease burden can be used to guide equity-based public health interventions or targeted social services. We used a case-control design to examine the association between area-level social vulnerability and severe COVID-19 using electronic health records (EHR) from a regional health information hub in the greater Philadelphia region. Severe COVID-19 cases (n = 15,464 unique patients) were defined as those with an inpatient admission and a diagnosis of COVID-19 in 2020. Controls (n = 78,600; 5:1 control-case ratio) were a random sample of individuals who did not have a COVID-19 diagnosis from the same geographic area. Retrospective data on comorbidities and demographic variables were extracted from EHR and linked to area-level social vulnerability index (SVI) data using ZIP codes. Models adjusted for different sets of covariates showed incidence rate ratios (IRR) ranging from 1.15 (95% CI, 1.13-1.17) in the model adjusted for individual-level age, sex, and marital status to 1.09 (95% CI, 1.08-1.11) in the fully adjusted model, which included individual-level comorbidities and race/ethnicity. The fully adjusted model indicates that a 10% higher area-level SVI was associated with a 9% higher risk of severe COVID-19. Individuals in neighborhoods with high social vulnerability were more likely to have severe COVID-19 after accounting for comorbidities and demographic characteristics. Our findings support initiatives incorporating neighborhood-level social determinants of health when planning interventions and allocating resources to mitigate epidemic respiratory diseases, including other coronavirus or influenza viruses.

Dismantling Barriers to Hepatitis B and Delta Screening, Prevention, and Linkage to Care among the PWUD Community in Philadelphia.

The prevalence of hepatitis B and delta viruses (HBV/HDV) among people who use drugs (PWUD) remains largely unknown. In the context of one Philadelphia-based harm reduction organization (HRO), this study aimed to assess HBV/HDV prevalence and facilitate linkage to care. Participants completed a demographic HBV/HDV risk factor survey and were screened for HBV and reflexively for HDV if positive for HBV surface antigen or isolated core antibody. Fisher's exact tests and regression were used to understand relationships between risks and HBV blood markers. Of the 498 participants, 126 (25.3%) did not have hepatitis B immunity, 52.6% had been vaccinated against HBV, and 17.9% had recovered from a past infection. Eleven (2.2%) participants tested positive for isolated HBV core antibody, 10 (2.0%) for HBV surface antigen, and one (0.2%) for HDV antibody. History of incarceration was associated with current HBV infection, while transactional sex and experience of homelessness were predictive of previous exposure. This study found high rates of current and past HBV infection, and a 10% HBV/HDV co-infection rate. Despite availability of vaccine, one quarter of participants remained vulnerable to infection. Findings demonstrate the need to improve low-threshold HBV/HDV screening, vaccination, and linkage to care among PWUD. The study also identified gaps in the HBV/HDV care cascade, including lack of point-of-care diagnostics and lack of support for HROs to provide HBV services.

COVID-19 and Asthma Onset in Children.

BACKGROUND AND OBJECTIVES: Respiratory viral infections increase risk of asthma in infants and children. Infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus can cause severe lung inflammation and prolonged respiratory symptoms. We sought to determine whether SARS-CoV-2 infection modified pediatric incident asthma risk. METHODS: This retrospective cohort study examined children ages 1 to 16 within the Children's Hospital of Philadelphia Care Network who received polymerase chain reaction (PCR) testing for SARS-CoV-2 between March 1, 2020 and February 28, 2021. Multivariable Cox regression models assessed the hazard ratio of new asthma diagnosis between SARS-CoV-2 PCR positive and SARS-CoV-2 PCR negative groups within an 18-month observation window. Models were adjusted for demographic characteristics, socioeconomic variables, and atopic comorbidities. RESULTS: There were 27 423 subjects included in the study. In adjusted analyses, SARS-CoV-2 PCR positivity had no significant effect on the hazard of new asthma diagnosis (hazard ratio [HR]: 0.96; P = .79). Black race (HR: 1.49; P = .004), food allergies (HR: 1.26; P = .025), and allergic rhinitis (HR: 2.30; P < .001) significantly increased the hazard of new asthma diagnosis. Preterm birth (HR: 1.48; P = .005) and BMI (HR: 1.13; P < .001) significantly increased the hazard of new asthma diagnosis for children <5 years old. CONCLUSIONS: SARS-CoV-2 PCR positivity was not associated with new asthma diagnosis in children within the observation period, although known risk factors for pediatric asthma were confirmed. This study informs the prognosis and care of children with a history of SARS-CoV-2 infection.

Gentrification Yields Racial And Ethnic Disparities In Exposure To Contextual Determinants Of Health.

This article examines racial and ethnic disparities in the relationship between gentrification and exposure to contextual determinants of health. In our study, we focused on changes in selected contextual determinants of health (health care access, social deprivation, air pollution, and walkability) and life expectancy during the period 2006-21 among residents of gentrifying census tracts in six large US cities that have experienced different gentrification patterns and have different levels of segregation: Chicago, Illinois; Los Angeles, California; New York, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington. We found that gentrification was associated with overall improvements in the likelihood of living in Medically Underserved Areas across racial and ethnic groups, but it was also associated with increased social deprivation and reduced life expectancy among Black people, Hispanic people, and people of another or undetermined race or ethnicity. In contrast, we found that gentrification was related to better (or unchanged) contextual determinants of health for Asian people and White people. Our findings can inform policies that target communities identified to be particularly at risk for worsening contextual determinants of health as a result of gentrification.

Geospatial Disparities in Youth Sexually Transmitted Infections During COVID-19.

INTRODUCTION: Early in the COVID-19 pandemic, routine sexually transmitted infection (STI) screenings decreased, and test positivity rates increased due to limited screening appointments, national-level STI testing supply shortages, and social distancing mandates. It is unclear if adolescent preventive STI screening has returned to pre-pandemic levels and if pre-existing disparities worsened in late-pandemic. METHODS: This cross-sectional study examined 22,974 primary care visits by 13-19-year-olds in the Philadelphia metropolitan area undergoing screening for gonorrhea and chlamydia in a 31-clinic pediatric primary care network during 2018-2022. Using interrupted-time-series analysis and logistic regression, pandemic-related changes in the asymptomatic STI screening rate and test positivity were tracked across patient demographics. Neighborhood moderation was investigated by census-tract-level Child Opportunity Index in 2023. RESULTS: The asymptomatic STI screening rate dropped by 27.8 percentage points (pp) and 13.5pp when the pandemic and national STI test supply shortage began, respectively, but returned to pre-pandemic levels after supply availability was restored in early 2021. Non-Hispanic-Black adolescents had a significant pandemic drop in STI screening rate, and it did not return to prep-andemic levels (-3.6 pp in the late-pandemic period, p<0.01). This decrease was more pronounced in socioeconomically and educationally disadvantaged neighborhoods (7.5 pp and 9.9 pp lower, respectively) than in advantaged neighborhoods (both p<0.001), controlling for sex, age, insurance type and clinic characteristics. CONCLUSIONS: Neighborhood socioeconomic and educational disadvantage amplified racial-ethnic disparities in STI screening during the pandemic. Future interventions should focus on improving primary care utilization of non-Hispanic-Black adolescents to increase routine STI screening and preventive care utilization.

Child opportunity index is associated with pediatric firearm injury in Philadelphia, Pennsylvania.

Introduction: Firearm injury is the leading cause of death in children. This study uses geospatial mapping to illustrate the burden of pediatric firearm injury in Philadelphia and assesses the relationship between Child Opportunity Index (COI) and injury, hypothesizing that lower COI zip codes would have higher injury and mortality rates. Methods: Pediatric firearm injury data for children aged 0-19 years in Philadelphia, from 2015 to February 2023, was visualized by race/ethnicity, fatal versus non-fatal status, and COI for zip code. COI was then dichotomized as "High" or "Low" based on nationally normed scores and used to compare incidence and odds of mortality. Injury incidence rates by COI were calculated using weighted Poisson regression, to adjust for the total number of children in each COI category. Odds of mortality by COI, adjusted for age, sex and race/ethnicity, were calculated using multivariable logistic regression. Results: Of 2,339 total pediatric firearm injuries, 366 (16%) were fatal. Males (89%), adolescents (95%) and Black children (88%) were predominately affected. Geospatial mapping showed highest burden in North and West Philadelphia, which corresponded with areas of low COI. The incidence rate ratio (IRR) of injury in low COI zip codes was 2.5 times greater than high COI (IRR 2.5 [1.93-3.22]; p < 0.01). After adjusting for age, sex, and race/ethnicity, odds of mortality in low COI zip codes was nearly twice that of high COI zip codes (aOR 1.95 [0.77-4.92]), though did not demonstrate statistical significance (p = 0.16). Conclusion: Child opportunity index is associated with pediatric firearm injury in Philadelphia, Pennsylvania.

Do respiratory virus infections modify associations of asthma exacerbation with aeroallergens or fine particulate matter? A time series study in Philadelphia PA.

Respiratory virus infections are related to over 80% of childhood asthma exacerbations. They enhance pro-inflammatory mediator release, especially for sensitized individuals exposed to pollens/molds. Using a time-series study design, we investigated possible effect modification by respiratory virus infections of the associations between aeroallergens/PM2.5 and asthma exacerbation rates. Outpatient, emergency department (ED), and inpatient visits for asthma exacerbation among children with asthma (28,540/24,444 [warm/cold season]), as well as viral infection counts were obtained from electronic health records of the Children's Hospital of Philadelphia from 2011 to 2016. Rate ratios (RRs, 90th percentile vs. 0) for late-season grass pollen were 1.00 (0.85-1.17), 1.04 (0.95-1.15), and 1.12 (0.96-1.32), respectively, for respiratory syncytial virus (RSV) counts within each tertile. However, similar trends were not observed for weed pollens/molds or PM2.5. Overall, our study provides little evidence supporting effect modification by respiratory viral infections.