About: Clinical characteristics and predictors of mortality in African‐Americans with COVID‐19 from an inner‐city community teaching hospital in New York

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About: Clinical characteristics and predictors of mortality in African‐Americans with COVID‐19 from an inner‐city community teaching hospital in New York Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Clinical characteristics and predictors of mortality in African‐Americans with COVID‐19 from an inner‐city community teaching hospital in New York
Creator	Adler, Mark Gayam, Vijay Garlapati, Reddy Merghani, Mohamed Chobufo, Ditah Lamichanne, Shristi Muchi, Facp Pavani, ;
source	Medline; PMC
abstract	BACKGROUND: There is limited data on the clinical presentation and predictors of mortality in the African‐American(AA) patients hospitalized with COVID‐19 despite the disproportionately higher burden and mortality. The aim of this study is to report on the clinical characteristics and the predictors of mortality in hospitalized AA patients with COVID‐19 infection. METHODS: In this retrospective cohort review, we included all AA patients with confirmed COVID‐19 infection admitted to an inner‐city teaching community hospital in New York City. Demographics, clinical presentation, baseline co‐morbidities, and laboratory data were compared between survivors and non‐survivors. The predictors of mortality were assessed using multivariate logistic regression analysis. RESULTS: Of the 408 (median age, 67years) patients included, 276(66.65%, median age 63years) survived while 132(33.35%, median age 71years) died. The most common presenting symptoms were cough, myalgia, fever/chills, shortness of breath, and gastrointestinal symptoms (nausea, vomiting, diarrhea, and abdominal pain), with a prevalence of 62.50%, 43.87%, 53.68%, and 27.21%, respectively. Age (OR 1.06, CI 1.04‐1.08, P‐<0.001), body mass index (OR 1.07, CI 1.04‐1.11, P‐<0.001), elevated serum ferritin(OR 1.99, CI 1.08‐3.66, P‐0.02), C‐reactive protein (OR 2.42, CI 1.36‐4.33, P‐0.01), and D‐dimers(OR 3.79, CI 2.21‐6.50, P‐<0.001) at the time of presentation were identified as the independent predictors of mortality. CONCLUSIONS: Cough, shortness of breath, fever/chills, gastrointestinal symptoms, and myalgia were the predominant presentation among African‐Americans hospitalized with COVID‐19 infection. Advanced age, higher BMI, elevated serum ferritin, C‐reactive protein, and D‐dimers are independent predictors of mortality among hospitalized African‐Americans with COVID‐19 infection. This article is protected by copyright. All rights reserved.
has issue date	2020-07-16(xsd:dateTime)
bibo:doi	10.1002/jmv.26306
bibo:pmid	32672844
has license	no-cc
sha1sum (hex)	7b338fe63bf62180614956c9d8a8fee7b9c0da90
schema:url	https://doi.org/10.1002/jmv.26306
resource representing a document's title	Clinical characteristics and predictors of mortality in African‐Americans with COVID‐19 from an inner‐city community teaching hospital in New York
has PubMed Central identifier	PMC7405133
has PubMed identifier	32672844
schema:publication	J Med Virol
resource representing a document's body	covid:7b338fe63bf62180614956c9d8a8fee7b9c0da90#body_text
is schema:about of	named entity 'There' named entity 'mortality' named entity 'teaching hospital' named entity 'STUDY' named entity 'COVID-19' named entity 'hospitalized' named entity 'study' named entity 'data' named entity 'patients' named entity 'COVID' named entity 'Africa' named entity 'COVID-19' named entity 'Cough' named entity 'myalgia' named entity 'racial groups' named entity 'gastrointestinal symptoms' named entity 'virologic' named entity 'African-American' named entity 'informed consent' named entity 'COVID-19 pandemic' named entity 'STATA' named entity 'African-Americans' named entity 'SARS-CoV-2' named entity 'virus' named entity 'median age' named entity 'diabetes' named entity 'myalgia' named entity 'binary logistic regression' named entity 'statistically significant' named entity 'Interquartile range' named entity 'COVID' named entity 'BMI' named entity 'African-American' named entity 'data extraction' named entity 'IL-6' named entity 'clinical characteristics' named entity 'morbidity' named entity 'death rates' named entity 'zoonotic' named entity 'serum ferritin' named entity 'radiographs' named entity 'infection' named entity 'standard of care' named entity 'BMI' named entity 'co-morbidities' named entity 'New York' named entity 'troponin' named entity 'chills' named entity 'SARS-CoV-2' named entity 'biochemical tests' named entity 'Laboratory tests' named entity 'chronic kidney disease' named entity 'respiratory assistance' named entity 'coagulation' named entity 'myalgia' named entity 'electrocardiograms' named entity 'death rates' named entity 'SARS-CoV' named entity 'African-Americans' named entity 'reference ranges' named entity 'data analysis' named entity 'Real-time polymerase chain reaction' named entity 'COVID' named entity 'proinflammatory' named entity 'triage' named entity 'diabetes' named entity 'severe acute respiratory syndrome coronavirus' named entity 'co-morbidities' named entity 'end of data' named entity 'lactate dehydrogenase' named entity 'African-Americans' named entity 'African-Americans' named entity 'confounders' named entity 'infection'

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