scholarly journals Factors associated with survival in patients with COVID -19 admitted to a community hospital in New York City

2021 ◽  
Vol 8 (2) ◽  
pp. 27-33
Author(s):  
Ajay P Singh ◽  
Ahmed Shady ◽  
Ejiro Gbaje ◽  
Marlon Oliva ◽  
Samantha Golden Espinal ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Oxygen Saturation ◽  
York City ◽  
Odds Ratio ◽  
Community Hospital ◽  
Cox Regression ◽  
The Elderly ◽  
Hazard Ratio ◽  
Study Population

Introduction: COVID-19 has been associated with increased mortality in old age, hypertension and male gender. Higher prevalence of increased body mass index (BMI), mechanical ventilation and renal failure has been found in the patients admitted to our New York City community hospital; accordingly we aim to explore the association between these parameters and survival in our patients. Methods: Retrospective review of patients admitted with the COVID-19 disease March 14 to April 30 of 2020. Analysis using Cox regression models, Log rank tests and Kaplan Meier curves was done for a total of 326 patients that met our criteria. Results: The adjusted odds of death for those at least 75 years of age were higher than those within the age group of 18 to 44 years. The patients with over 92% oxygen saturation had lower adjusted odds of death than those with 88 to 92% oxygen saturation (Odds Ratio (OR)=0.2, 95% CI=0.06, 0.70), as well as lower adjusted hazard of dying (Hazard Ratio (HR)=0.4, 95% CI=0.21, 0.87). Intubation was associated with a higher adjusted odds ratio (OR=57.8, 95% CI=17.74, 188.30) and adjusted hazard ratio HR=5.4 (95% CI=2.59, 11.21) for death. After controlling for age and gender, neither levels of serum D-dimer nor creatinine were found to be significantly associated with mortality The factors that comprise metabolic syndrome, i.e., elevated BMI, diabetes, hypertension, and hyperlipidemia, were found to have no significant association with the outcome of death after controlling for age and sex and they also had no significant association with the time until death. Conclusions: In the study population, COVID-19 was associated with increased mortality in patients who required intubation, and in the elderly, which may be explained by changes in the immune system over time. Elevated BMI, though not statistically significant, was present in the majority of our study population, which may have contributed to the group's high mortality.

48 INDICATION SPECTRUM OF PERMANENT PACEMAKER IMPLANTATION IN A COMMUNITY HOSPITAL IN NEW YORK CITY.

2006 ◽  
Vol 54 (1) ◽  
pp. S264.3-S264
Author(s):  
A. Sahni ◽  
A. Garg ◽  
A. Gupta ◽  
S. Niranjan ◽  
S. Sinnapunayagam ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Community Hospital ◽  
Pacemaker Implantation ◽  
Permanent Pacemaker ◽  
Permanent Pacemaker Implantation

Mo1444 CHARACTERIZATION OF PATIENTS WITH CHRONIC HEPATITIS C (C-HCV) ATTENDED AT A HEPATOLOGY CLINIC OF A COMMUNITY HOSPITAL IN NORTH BROOKLYN IN NEW YORK CITY (NYC).

2020 ◽  
Vol 158 (6) ◽  
pp. S-879
Author(s):  
Roshan Patel ◽  
Ahmed Shady ◽  
Tarek H. Alansari ◽  
Albina Aylyarova ◽  
Vivian Istafanos ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Chronic Hepatitis ◽  
Hepatitis C ◽  
Chronic Hepatitis C ◽  
York City ◽  
Community Hospital

ISOLATION OF NON-TUBERCULOUS MYCOBACTERIA IN A COMMUNITY HOSPITAL IN NEW YORK CITY

CHEST Journal ◽  
2006 ◽  
Vol 130 (4) ◽  
pp. 285S
Author(s):  
Layola Lunghar ◽  
John S. Schicchi ◽  
Wafaa El-Sadar
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Community Hospital

Mortality in the elderly in a heat wave in New York City, August 1975

1978 ◽  
Vol 15 (3) ◽  
pp. 504-512 ◽  
Author(s):  
F.P. Ellis ◽  
Frieda Nelson
Keyword(s):  
New York ◽  
New York City ◽  
Heat Wave ◽  
York City ◽  
The Elderly

Time Trends in Neonatal Mortality Among Twins and Singletons in New York City, 1968–1986

1991 ◽  
Vol 40 (3-4) ◽  
pp. 303-309 ◽  
Author(s):  
J.L. Kiely
Keyword(s):  
New York ◽  
New York City ◽  
Neonatal Mortality ◽  
York City ◽  
Time Trends ◽  
Low Birthweight ◽  
Infant Deaths ◽  
Time Period ◽  
Vital Records ◽  
Study Population

AbstractThe objective of this study was to compute yearly neonatal mortality rates (NMRs) in twins and compare these to rates in singletons during the same time period. The focus was on time trends in birthweight-specific twin mortality in the birth population of New York City during the years 1968 to 1986. The study population was all twin livebirths ≥ 500 g birthweight (N = 45,605), with a comparison group of all singleton livebirths in the same birthweight range (N = 2,191,144). Data came from the New York City Department of Health's computerized vital records on livebirths and infant deaths. Between 1968 and 1986 the crude NMR declined 39% in twins and 47% in singletons. In twins there were birthweight-specific declines of 69% to 84% between 1000 g and 2499 g. However, there was only a 19% decline in the twin NMR over 2499 g. This contrasts with a 50% decline in the singleton NMR over 2499 g. In New York City, modern medical care has been remarkably successful in lowering the NMR in low birthweight twins. However, more effort must be made to understand the etiology of perinatal problems in twins with birth weights greater than 2500 g.

scholarly journals A Novel Evidence-Based Predictor Tool for Hospitalization and Length of Stay: Insights from COVID19 Patients in New York City

2021 ◽  
Author(s):  
Maan El Halabi ◽  
James Feghali ◽  
Paulino Tallon de Lara ◽  
Bharat Narasimhan ◽  
Kam Ho ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
New York ◽  
New York City ◽  
Kidney Disease ◽  
Length Of Stay ◽  
Oxygen Saturation ◽  
Predictive Models ◽  
York City ◽  
Maximum Temperature ◽  
Web Based

Background: Coronavirus disease 2019 (COVID-19) has evolved into a true global pandemic infecting more than 30 million people worldwide. Predictive models for key outcomes have the potential to optimize resource utilization and patient outcome as outbreaks continue to occur worldwide. We aimed to design and internally validate a web-based calculator predictive of hospitalization and length of stay (LOS) in a large cohort of COVID-19 positive patients presenting to the Emergency Department (ED) in a New York City health system. Methods The study cohort consisted of consecutive adult (>18 years) patients presenting to the ED of one of the Mount Sinai Health System hospitals between March, 2020 and April, 2020 who were diagnosed with COVID-19. Logistic regression was utilized to construct predictive models for hospitalization and prolonged (>3 days) LOS. Discrimination was evaluated using area under the receiver operating curve (AUC). Internal validation with bootstrapping was performed, and a web-based calculator was implemented. Results The cohort consisted of 5859 patients with a hospitalization rate of 65% and a prolonged LOS rate of 75% among hospitalized patients. Independent predictors of hospitalization included older age (OR=6.29; 95% CI [1.83-2.63], >65 vs. 18-44), male sex (OR=1.35 [1.17-1.55]), chronic obstructive pulmonary disease (OR=1.74; [1.00-3.03]), hypertension (OR=1.39; [1.13-1.70]), diabetes (OR=1.45; [1.16-1.81]), chronic kidney disease (OR=1.69; [1.23-2.32]), elevated maximum temperature (OR=4.98; [4.28-5.79]), and low minimum oxygen saturation (OR=13.40; [10.59-16.96]). Predictors of extended LOS included older age (OR=1.03 [1.02-1.04], per year), chronic kidney disease (OR=1.91 [1.35-2.71]), elevated maximum temperature (OR=2.91 [2.40-3.53]), and low minimum percent oxygen saturation (OR=3.89 [3.16-4.79]). AUCs of 0.881 and 0.770 were achieved for hospitalization and LOS, respectively. A calculator was made available under the following URL: https://covid19-outcome-prediction.shinyapps.io/COVID19_Hospitalization_Calculator/ Conclusion The prediction tool derived from this study can be used to optimize resource allocation, guide quality of care, and assist in designing future studies on the triage and management of patients with COVID-19.

Corrosive Ingestion: Experience of One Urban Community Hospital in New York City

2011 ◽  
Vol 106 ◽  
pp. S21
Author(s):  
Berhanu Geme ◽  
Jianlin Xie ◽  
Loveleen Sidhu ◽  
Shirin Khan ◽  
Andrew Ciancimino
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Community Hospital ◽  
Urban Community ◽  
Corrosive Ingestion
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