Childhood asthma in the Bronx, NY; the impact of pollutants on length of hospital stay

OBJECTIVE

The length of hospital stay (LOS) is a proxy of asthma exacerbation severity and healthcare cost. The study aims to estimate the effect of ambient air pollution on pediatric asthma LOS in the Bronx, NY.

METHODS

A total of 1,920 children admitted to the hospital in Bronx, NY due to asthma during 2017-2019 period were included in the study. Demographic and clinical parameters were obtained from medical records. Daily ozone (O3) and fine particulate matter (PM2.5) measurements were obtained from local air quality networks. Poisson regression adjusting for gender, age, weight status, respiratory infections including influenza, and ambient temperature was applied to determine whether there was an association of air pollution with length of hospital stay.

RESULTS

The mean LOS varied by age, sex, weight status, influenza vaccination status, respiratory viral panel (RVP) results, asthma controller use, and asthma classification. After controlling for these factors in Poisson regression, the mean LOS increased up to 10.62% (95%CI: 0.78-21.41; p = 0.03) for an increase of 10 μg/m3 of PM2.5 exposure on admission day, and 3.90% (95%CI = 0.06-7.88; p = 0.05) for an increase of 10 ppbv of O3 concentration during the previous day.

CONCLUSION

Ambient particulate and ozone pollution is associated with lengthier hospital stays for pediatric asthma, potentially indicating more severe asthma exacerbations.

The Association of Structural Fires With Heating Complaints and Race in New York City

The devastating fire on January 9, 2022, led to the death of 8 children and 9 adults in New York City's Bronx borough. Previous reports have suggested that heating complaints in low socioeconomic Black/Latinx communities are frequently ignored. This trend suggests the existence of housing inequities and landlord negligence, which may lead to higher rates of residential fires in the Bronx and other low-income neighborhoods. However, this assertion has yet to be scientifically investigated. Two datasets (New York City Open Data Portal Fire Incident Dispatch and 311 Heat/Hot Water Complaints) were merged to determine the frequency of heating complaints and structural fires per month among community districts in New York City between 2017 and 2022. The primary outcome was structural fires per month which was modeled using a mixed effects multivariable regression allowing random intercepts for individual community districts. Within New York City's 59 community districts, 3,877 heating complaints were filed against 3,989 structural fires during the study period. The mixed effects model demonstrated a significant relationship between heat complaints and frequency of structural fires (coefficient 0.013, 95% confidence interval 0.012-0.014, P < .001). For the decennial census year 2020, the mixed effects model demonstrated a significant association between heat complaints and proportion of non-Hispanic, Black residents (coefficient 0.493, 95% confidence interval 0.330-0.657, P < .001). This highlights a trend in marginalized racial/ethnic communities, where unresolved heating complaints may force residents to resort to dangerous heating practices, inadvertently leading to fires and morbidity/mortality.

Predictors of Food Insecurity and Childhood Hunger in the Bronx During the COVID-19 Pandemic

Using a community-based participatory research approach, we conducted a survey of 218 food pantry recipients in the south Bronx to determine predictors of food insecurity and childhood hunger. In adjusted multiple regression models, statistically significant risk factors for food insecurity included: having one or more children and not having health insurance. Statistically significant protectors against childhood hunger were: having a graduate degree, having health insurance and Spanish being spoken at home. Experiencing depression symptoms was positively associated with both food insecurity and childhood hunger. Frequency of food pantry use was not significantly associated with either food insecurity nor childhood hunger. This study suggests that targeting families with multiple children and without insurance will best help to promote food security among residents of the south Bronx. Social policy implications related to food security and benefit provision through the COVID-19 pandemic are also provided.

Epidemiologic and clinical characteristics of infective endocarditis: a single-center retrospective study in the Bronx, New York

OBJECTIVE

There is paucity of data on the epidemiological, microbiological, and clinical characteristics of patients admitted with infective endocarditis (IE) in the Bronx, New York.

PATIENT AND METHODS

We conducted a retrospective study at Jacobi Medical Center, a tertiary care hospital in the Bronx. All adult patients who were hospitalized with a primary diagnosis of new-onset IE between January 1st, 2010 and September 30th, 2020 were included. The primary outcome was in-hospital mortality. A logistic regression model was used to identify baseline variables associated with in-hospital mortality.

RESULTS

182 patients were included in this analysis (female sex: 38.5%, median age: 54 years). 46 patients (25.3%) reported intravenous drug use. 153 patients (84.1%) had positive blood cultures. Staphylococcus aureus (S. aureus) was the most common isolated pathogen (45.1% of monomicrobial IE). Nearly half of the cases secondary to S. aureus were methicillin resistant Staphylococcus aureus (MRSA) (34/69). 164 patients (90.1%) were diagnosed with native valve IE. The mitral valve was involved in 32.4% of patients followed by the aortic valve (19.8%). The in-hospital mortality was 18.1%. The mortality was higher in the cohort 2010-2015 compared to the cohort 2016-2020 (22.1% vs 14.6%). Increasing age, MRSA IE, and active malignancy were the only variables found to have significant association with in-hospital death.

CONCLUSION

S. aureus was the most common causative agent and MRSA accounted for about half of the S. aureus IE cases. The incidence of IE in patients with intravenous drug use increased over time, while the median age decreased. The in-hospital death rate was higher in 2010-2015 compared to 2016-2020.

Adaptation and restructuring of an academic anesthesiology department during the COVID-19 pandemic in New York City: Challenges and lessons learned

The novel SARS-CoV-2 pandemic starting in 2019 profoundly changed the world, and thousands of residents of New York City were affected, leading to one of the most acute surges in regional hospital capacity. As the largest academic medical center in the Bronx, Montefiore Medical Center was immediately impacted, and the entire hospital was mobilized to address the needs of its community. In this article, we describe our experiences as a large academic anesthesiology department during this pandemic. Our goals were to maximize our staff's expertise, maintain our commitment to wellness and safety, and preserve the quality of patient care. Lessons learned include the importance of critical care training presence and leadership, the challenges of converting an ambulatory surgery center to an intensive care unit (ICU), and the management of effective communication. Lastly, we provide suggestions for institutions facing an acute surge, or subsequent waves of COVID-19, based on a single center's experiences.

Clinical characteristics of the first and second COVID-19 waves in the Bronx, New York: A retrospective cohort study

Background

There is limited clinical patient data comparing the first and second waves of the coronavirus disease 2019 (COVID-19) in the United States and the effects of a COVID-19 resurgence on different age, racial and ethnic groups. We compared the first and second COVID-19 waves in the Bronx, New York, among a racially and ethnically diverse population.

Methods

Patients in this retrospective cohort study were included if they had a laboratory-confirmed SARS-CoV-2 infection by a real-time PCR test of a nasopharyngeal swab specimen detected between March 11, 2020, and January 21, 2021. Main outcome measures were critical care, in-hospital acquired disease and death. Patient demographics, comorbidities, vitals, and laboratory values were also collected.

Findings

A total of 122,983 individuals were tested for SARS-CoV-2 infection, of which 12,659 tested positive. The second wave was characterized by a younger demographic, fewer comorbidities, less extreme laboratory values at presentation, and lower risk of adverse outcomes, including in-hospital mortality (adj. OR = 0·23, 99·5% CI = 0·17 to 0·30), hospitalization (adj. OR = 0·65, 99·5% CI = 0·58 to 0·74), invasive mechanical ventilation (adj. OR = 0·70, 99·5% CI = 0·56 to 0·89), acute kidney injury (adj. OR = 0·62, 99·5% CI = 0·54 to 0·71), and length of stay (adj. OR = 0·71, 99·5% CI = 0·60 to 0·85), with Black and Hispanic patients demonstrating most improvement in clinical outcomes.

Interpretation

The second COVID-19 wave in the Bronx exhibits improved clinical outcomes compared to the first wave across all age, racial, and ethnic groups, with minority groups showing more improvement, which is encouraging news in the battle against health disparities.

Severe obesity, increasing age and male sex are independently associated with worse in-hospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York

BACKGROUND & AIMS

New York is the current epicenter of Coronavirus disease 2019 (COVID-19) pandemic. The underrepresented minorities, where the prevalence of obesity is higher, appear to be affected disproportionately. Our objectives were to assess the characteristics and early outcomes of patients hospitalized with COVID-19 in the Bronx and investigate whether obesity is associated with worse outcomes independently from age, gender and other comorbidities.

METHODS

This retrospective study included the first 200 patients admitted to a tertiary medical center with COVID-19. The electronic medical records were reviewed at least three weeks after admission. The primary endpoint was in-hospital mortality.

RESULTS

200 patients were included (female sex: 102, African American: 102). The median BMI was 30 kg/m2. The median age was 64 years. Hypertension (76%), hyperlipidemia (46.2%), and diabetes (39.5%) were the three most common comorbidities. Fever (86%), cough (76.5%), and dyspnea (68%) were the three most common symptoms. 24% died during hospitalization (BMI < 25 kg/m2: 31.6%, BMI 25-34 kg/m2: 17.2%, BMI ≥ 35 kg/m2: 34.8%, p = 0.03). Increasing age (analyzed in quartiles), male sex, BMI ≥ 35 kg/m2 (reference: BMI 25-34 kg/m2), heart failure, CAD, and CKD or ESRD were found to have a significant univariate association with mortality. The multivariate analysis demonstrated that BMI ≥ 35 kg/m2 (reference: BMI 25-34 kg/m2, OR: 3.78; 95% CI: 1.45-9.83; p = 0.006), male sex (OR: 2.74; 95% CI: 1.25-5.98; p = 0.011) and increasing age (analyzed in quartiles, OR: 1.73; 95% CI: 1.13-2.63; p = 0.011) were independently associated with higher in-hospital mortality. Similarly, age, male sex, BMI ≥ 35 kg/m2 and current or prior smoking were significant predictors for increasing oxygenation requirements in the multivariate analysis, while male sex, age and BMI ≥ 35 kg/m2 were significant predictors in the multivariate analysis for the outcome of intubation.

CONCLUSIONS

In this cohort of hospitalized patients with COVID-19 in a minority-predominant population, severe obesity, increasing age, and male sex were independently associated with higher in-hospital mortality and in general worse in-hospital outcomes.

Legionnaires' Disease Outbreak Caused by Endemic Strain of Legionella pneumophila, New York, New York, USA, 2015

During the summer of 2015, New York, New York, USA, had one of the largest and deadliest outbreaks of Legionnaires’ disease in the history of the United States. A total of 138 cases and 16 deaths were linked to a single cooling tower in the South Bronx. Analysis of environmental samples and clinical isolates showed that sporadic cases of legionellosis before, during, and after the outbreak could be traced to a slowly evolving, single-ancestor strain. Detection of an ostensibly virulent Legionella strain endemic to the Bronx community suggests potential risk for future cases of legionellosis in the area. The genetic homogeneity of the Legionella population in this area might complicate investigations and interpretations of future outbreaks of Legionnaires’ disease.

The social logic of naloxone: Peer administration, harm reduction, and the transformation of social policy

This paper examines overdose prevention programs based on peer administration of the opioid antagonist naloxone. The data for this study consist of 40 interviews and participant observation of 10 overdose prevention training sessions at harm reduction agencies in the Bronx, New York, conducted between 2010 and 2012. This paper contends that the social logic of peer administration is as central to the success of overdose prevention as is naloxone's pharmacological potency. Whereas prohibitionist drug policies seek to isolate drug users from the spaces and cultures of drug use, harm reduction strategies like peer-administered naloxone treat the social contexts of drug use as crucial resources for intervention. Such programs utilize the expertise, experience, and social connections gained by users in their careers as users. In revaluing the experience of drug users, naloxone facilitates a number of harm reduction goals. But it also raises complex questions about responsibility and risk. This paper concludes with a discussion of how naloxone's social logic illustrates the contradictions within broader neoliberal trends in social policy.