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Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD

OBJECTIVE: To examine racial/ethnic differences in risk factors, and their associations with COVID-19–related outcomes among older adults with Alzheimer’s disease and related dementias (ADRD). DESIGN: Observational study. SETTING AND PARTICIPANTS: National Medicare claims data and the Minimum Data S...

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Autores principales: Qin, Qiuyuan, Veazie, Peter, Temkin-Greener, Helena, Makineni, Rajesh, Cai, Shubing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AMDA - The Society for Post-Acute and Long-Term Care Medicine. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995316/
https://www.ncbi.nlm.nih.gov/pubmed/37015322
http://dx.doi.org/10.1016/j.jamda.2023.02.111
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author Qin, Qiuyuan
Veazie, Peter
Temkin-Greener, Helena
Makineni, Rajesh
Cai, Shubing
author_facet Qin, Qiuyuan
Veazie, Peter
Temkin-Greener, Helena
Makineni, Rajesh
Cai, Shubing
author_sort Qin, Qiuyuan
collection PubMed
description OBJECTIVE: To examine racial/ethnic differences in risk factors, and their associations with COVID-19–related outcomes among older adults with Alzheimer’s disease and related dementias (ADRD). DESIGN: Observational study. SETTING AND PARTICIPANTS: National Medicare claims data and the Minimum Data Set 3.0 from April 1, 2020, to December 31, 2020, were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between April 1, 2020, and December 1, 2020 (N = 138,533). METHODS: Two outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior health care utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (ie, White, Black, and Hispanic individuals). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial/ethnic subgroups using the coefficient comparison approach. RESULTS: We found higher risks of COVID-19–related outcomes among Black and Hispanic individuals. The areas under the curve of the models with identified risk factors were 0.65 to 0.68 for mortality and 0.61 to 0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (eg, age, gender) for COVID-19–related outcomes were common among all racial/ethnic subgroups, other risk factors (eg, hypertension, obesity) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19–related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: 1.996–2.841), 64.7% (95% CI: 1.546–1.755), and 37.1% (95% CI: 1.192–1.578) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19–related outcomes could not be completely explained by the identified risk factors. CONCLUSIONS AND IMPLICATIONS: Racial/ethnic differences were detected in the likelihood of having COVID-19–related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19–related outcomes. Future research is needed to elucidate the reasons for these differences.
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spelling pubmed-99953162023-03-09 Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD Qin, Qiuyuan Veazie, Peter Temkin-Greener, Helena Makineni, Rajesh Cai, Shubing J Am Med Dir Assoc Original Study OBJECTIVE: To examine racial/ethnic differences in risk factors, and their associations with COVID-19–related outcomes among older adults with Alzheimer’s disease and related dementias (ADRD). DESIGN: Observational study. SETTING AND PARTICIPANTS: National Medicare claims data and the Minimum Data Set 3.0 from April 1, 2020, to December 31, 2020, were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between April 1, 2020, and December 1, 2020 (N = 138,533). METHODS: Two outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior health care utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (ie, White, Black, and Hispanic individuals). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial/ethnic subgroups using the coefficient comparison approach. RESULTS: We found higher risks of COVID-19–related outcomes among Black and Hispanic individuals. The areas under the curve of the models with identified risk factors were 0.65 to 0.68 for mortality and 0.61 to 0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (eg, age, gender) for COVID-19–related outcomes were common among all racial/ethnic subgroups, other risk factors (eg, hypertension, obesity) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19–related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: 1.996–2.841), 64.7% (95% CI: 1.546–1.755), and 37.1% (95% CI: 1.192–1.578) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19–related outcomes could not be completely explained by the identified risk factors. CONCLUSIONS AND IMPLICATIONS: Racial/ethnic differences were detected in the likelihood of having COVID-19–related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19–related outcomes. Future research is needed to elucidate the reasons for these differences. AMDA - The Society for Post-Acute and Long-Term Care Medicine. 2023-06 2023-03-09 /pmc/articles/PMC9995316/ /pubmed/37015322 http://dx.doi.org/10.1016/j.jamda.2023.02.111 Text en © 2023 AMDA - The Society for Post-Acute and Long-Term Care Medicine. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Study
Qin, Qiuyuan
Veazie, Peter
Temkin-Greener, Helena
Makineni, Rajesh
Cai, Shubing
Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD
title Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD
title_full Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD
title_fullStr Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD
title_full_unstemmed Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD
title_short Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD
title_sort racial/ethnic differences in risk factors associated with severe covid-19 among older adults with adrd
topic Original Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995316/
https://www.ncbi.nlm.nih.gov/pubmed/37015322
http://dx.doi.org/10.1016/j.jamda.2023.02.111
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