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...
Autores principales: | , , , , , , , |
---|---|
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 |