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A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City
BACKGROUND: New York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310407/ https://www.ncbi.nlm.nih.gov/pubmed/34303357 http://dx.doi.org/10.1186/s12889-021-11498-x |
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author | Lieberman-Cribbin, Wil Alpert, Naomi Flores, Raja Taioli, Emanuela |
author_facet | Lieberman-Cribbin, Wil Alpert, Naomi Flores, Raja Taioli, Emanuela |
author_sort | Lieberman-Cribbin, Wil |
collection | PubMed |
description | BACKGROUND: New York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality at the population level. Here we determine the relationship between these factors and COVD-19 mortality in NYC. METHODS: A cross-sectional study of mortality data obtained from the NYC Coronavirus data repository (03/02/2020–07/06/2020) and the prevalence of neighborhood-level risk factors for COVID-19 severity was performed. A risk index was created based on the CDC criteria for risk of severe illness and complications from COVID-19, and stepwise linear regression was implemented to predict the COVID-19 mortality rate across NYC zip code tabulation areas (ZCTAs) utilizing the risk index, median age, socioeconomic status index, and the racial and Hispanic composition at the ZCTA-level as predictors. RESULTS: The COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (β(adj) = − 0.91, SE = 0.31, p = 0.0037), while the increasing proportion of Hispanic residents (β(adj) = 0.90, SE = 0.38, p = 0.0200), median age (β(adj) = 3.45, SE = 1.74, p = 0.0489), and COVID-19 severity risk index (β(adj) = 5.84, SE = 0.82, p < 0.001) were statistically significantly positively associated with death rates. CONCLUSIONS: Disparities in COVID-19 mortality exist across NYC and these vulnerable areas require increased attention, including repeated and widespread testing, to minimize the threat of serious illness and mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11498-x. |
format | Online Article Text |
id | pubmed-8310407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83104072021-07-26 A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City Lieberman-Cribbin, Wil Alpert, Naomi Flores, Raja Taioli, Emanuela BMC Public Health Research Article BACKGROUND: New York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality at the population level. Here we determine the relationship between these factors and COVD-19 mortality in NYC. METHODS: A cross-sectional study of mortality data obtained from the NYC Coronavirus data repository (03/02/2020–07/06/2020) and the prevalence of neighborhood-level risk factors for COVID-19 severity was performed. A risk index was created based on the CDC criteria for risk of severe illness and complications from COVID-19, and stepwise linear regression was implemented to predict the COVID-19 mortality rate across NYC zip code tabulation areas (ZCTAs) utilizing the risk index, median age, socioeconomic status index, and the racial and Hispanic composition at the ZCTA-level as predictors. RESULTS: The COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (β(adj) = − 0.91, SE = 0.31, p = 0.0037), while the increasing proportion of Hispanic residents (β(adj) = 0.90, SE = 0.38, p = 0.0200), median age (β(adj) = 3.45, SE = 1.74, p = 0.0489), and COVID-19 severity risk index (β(adj) = 5.84, SE = 0.82, p < 0.001) were statistically significantly positively associated with death rates. CONCLUSIONS: Disparities in COVID-19 mortality exist across NYC and these vulnerable areas require increased attention, including repeated and widespread testing, to minimize the threat of serious illness and mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11498-x. BioMed Central 2021-07-24 /pmc/articles/PMC8310407/ /pubmed/34303357 http://dx.doi.org/10.1186/s12889-021-11498-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Lieberman-Cribbin, Wil Alpert, Naomi Flores, Raja Taioli, Emanuela A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City |
title | A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City |
title_full | A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City |
title_fullStr | A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City |
title_full_unstemmed | A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City |
title_short | A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City |
title_sort | risk index for covid-19 severity is associated with covid-19 mortality in new york city |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310407/ https://www.ncbi.nlm.nih.gov/pubmed/34303357 http://dx.doi.org/10.1186/s12889-021-11498-x |
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