Cargando…

Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020

BACKGROUND: COVID-19 mortality studies have primarily focused on persons aged ≥ 65 years; less is known about decedents aged <65 years. METHODS: We conducted a case-control study among NYC residents aged 21–64 years hospitalized with COVID-19 diagnosed March 13–April 9, 2020, to determine risk fa...

Descripción completa

Detalles Bibliográficos
Autores principales: Bushman, Dena, Davidson, Alexander, Pathela, Preeti, Greene, Sharon K., Weiss, Don, Reddy, Vasudha, Team, New York City Fatal Case-Control Study, Latash, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352553/
https://www.ncbi.nlm.nih.gov/pubmed/34374031
http://dx.doi.org/10.1007/s40615-021-01098-1
_version_ 1783736205643350016
author Bushman, Dena
Davidson, Alexander
Pathela, Preeti
Greene, Sharon K.
Weiss, Don
Reddy, Vasudha
Team, New York City Fatal Case-Control Study
Latash, Julia
author_facet Bushman, Dena
Davidson, Alexander
Pathela, Preeti
Greene, Sharon K.
Weiss, Don
Reddy, Vasudha
Team, New York City Fatal Case-Control Study
Latash, Julia
author_sort Bushman, Dena
collection PubMed
description BACKGROUND: COVID-19 mortality studies have primarily focused on persons aged ≥ 65 years; less is known about decedents aged <65 years. METHODS: We conducted a case-control study among NYC residents aged 21–64 years hospitalized with COVID-19 diagnosed March 13–April 9, 2020, to determine risk factors for death. Case-patients (n=343) were hospitalized decedents with COVID-19 and control-patients (n=686) were discharged from hospitalization with COVID-19 and matched 2:1 to case-patients on age and residential neighborhood. Conditional logistic regression models were adjusted for patient sex, insurance status, and marital status. Matched adjusted odds ratios (aORs) were calculated for selected underlying conditions, combinations of conditions, and race/ethnic group. RESULTS: Median age of both case-patients and control-patients was 56 years (range: 23–64 years). Having ≥ 1 selected underlying condition increased odds of death 4.45-fold (95% CI: 2.33–8.49). Patients with diabetes; morbid obesity; heart, kidney, or lung disease; cancer; neurologic/neurodevelopmental conditions; mental health conditions; or HIV had significantly increased odds of death. Compared with having neither condition, having both diabetes and obesity or diabetes and heart disease was associated with approximately threefold odds of death. Five select underlying conditions were more prevalent among non-Hispanic Black control-patients than among control-patients of other races/ethnicities. CONCLUSIONS AND RELEVANCE: Selected underlying conditions were risk factors for death, and most prevalent among racial/ethnic minorities. Social services; health care resources, including vaccination; and tailored public health messaging are important for COVID-19 prevention. Strengthening these strategies for racial/ethnic minority groups could minimize COVID-19 racial/ethnic disparities.
format Online
Article
Text
id pubmed-8352553
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-83525532021-08-10 Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020 Bushman, Dena Davidson, Alexander Pathela, Preeti Greene, Sharon K. Weiss, Don Reddy, Vasudha Team, New York City Fatal Case-Control Study Latash, Julia J Racial Ethn Health Disparities Article BACKGROUND: COVID-19 mortality studies have primarily focused on persons aged ≥ 65 years; less is known about decedents aged <65 years. METHODS: We conducted a case-control study among NYC residents aged 21–64 years hospitalized with COVID-19 diagnosed March 13–April 9, 2020, to determine risk factors for death. Case-patients (n=343) were hospitalized decedents with COVID-19 and control-patients (n=686) were discharged from hospitalization with COVID-19 and matched 2:1 to case-patients on age and residential neighborhood. Conditional logistic regression models were adjusted for patient sex, insurance status, and marital status. Matched adjusted odds ratios (aORs) were calculated for selected underlying conditions, combinations of conditions, and race/ethnic group. RESULTS: Median age of both case-patients and control-patients was 56 years (range: 23–64 years). Having ≥ 1 selected underlying condition increased odds of death 4.45-fold (95% CI: 2.33–8.49). Patients with diabetes; morbid obesity; heart, kidney, or lung disease; cancer; neurologic/neurodevelopmental conditions; mental health conditions; or HIV had significantly increased odds of death. Compared with having neither condition, having both diabetes and obesity or diabetes and heart disease was associated with approximately threefold odds of death. Five select underlying conditions were more prevalent among non-Hispanic Black control-patients than among control-patients of other races/ethnicities. CONCLUSIONS AND RELEVANCE: Selected underlying conditions were risk factors for death, and most prevalent among racial/ethnic minorities. Social services; health care resources, including vaccination; and tailored public health messaging are important for COVID-19 prevention. Strengthening these strategies for racial/ethnic minority groups could minimize COVID-19 racial/ethnic disparities. Springer International Publishing 2021-08-09 2022 /pmc/articles/PMC8352553/ /pubmed/34374031 http://dx.doi.org/10.1007/s40615-021-01098-1 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bushman, Dena
Davidson, Alexander
Pathela, Preeti
Greene, Sharon K.
Weiss, Don
Reddy, Vasudha
Team, New York City Fatal Case-Control Study
Latash, Julia
Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020
title Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020
title_full Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020
title_fullStr Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020
title_full_unstemmed Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020
title_short Risk Factors for Death Among Hospitalized Patients Aged 21–64 Years Diagnosed with COVID-19—New York City, March 13–April 9, 2020
title_sort risk factors for death among hospitalized patients aged 21–64 years diagnosed with covid-19—new york city, march 13–april 9, 2020
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352553/
https://www.ncbi.nlm.nih.gov/pubmed/34374031
http://dx.doi.org/10.1007/s40615-021-01098-1
work_keys_str_mv AT bushmandena riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020
AT davidsonalexander riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020
AT pathelapreeti riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020
AT greenesharonk riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020
AT weissdon riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020
AT reddyvasudha riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020
AT teamnewyorkcityfatalcasecontrolstudy riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020
AT latashjulia riskfactorsfordeathamonghospitalizedpatientsaged2164yearsdiagnosedwithcovid19newyorkcitymarch13april92020