Cargando…
Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population
OBJECTIVE: To identify risk factors associated with severe COVID-19 infection in a defined Midwestern US population overall and within different age groups. PATIENTS AND METHODS: We used the Rochester Epidemiology Project research infrastructure to identify persons residing in a defined 27-county Mi...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mayo Foundation for Medical Education and Research
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255113/ https://www.ncbi.nlm.nih.gov/pubmed/34538426 http://dx.doi.org/10.1016/j.mayocp.2021.06.023 |
_version_ | 1783717843886407680 |
---|---|
author | St. Sauver, Jennifer L. Lopes, Guilherme S. Rocca, Walter A. Prasad, Kavita Majerus, Michelle R. Limper, Andrew H. Jacobson, Debra J. Fan, Chun Jacobson, Robert M. Rutten, Lila J. Norman, Aaron D. Vachon, Celine M. |
author_facet | St. Sauver, Jennifer L. Lopes, Guilherme S. Rocca, Walter A. Prasad, Kavita Majerus, Michelle R. Limper, Andrew H. Jacobson, Debra J. Fan, Chun Jacobson, Robert M. Rutten, Lila J. Norman, Aaron D. Vachon, Celine M. |
author_sort | St. Sauver, Jennifer L. |
collection | PubMed |
description | OBJECTIVE: To identify risk factors associated with severe COVID-19 infection in a defined Midwestern US population overall and within different age groups. PATIENTS AND METHODS: We used the Rochester Epidemiology Project research infrastructure to identify persons residing in a defined 27-county Midwestern region who had positive results on polymerase chain reaction tests for COVID-19 between March 1, 2020, and September 30, 2020 (N=9928). Age, sex, race, ethnicity, body mass index, smoking status, and 44 chronic disease categories were considered as possible risk factors for severe infection. Severe infection was defined as hospitalization or death caused by COVID-19. Associations between risk factors and severe infection were estimated using Cox proportional hazard models overall and within 3 age groups (0 to 44, 45 to 64, and 65+ years). RESULTS: Overall, 474 (4.8%) persons developed severe COVID-19 infection. Older age, male sex, non-White race, Hispanic ethnicity, obesity, and a higher number of chronic conditions were associated with increased risk of severe infection. After adjustment, 36 chronic disease categories were significantly associated with severe infection. The risk of severe infection varied significantly across age groups. In particular, persons 0 to 44 years of age with cancer, chronic neurologic disorders, hematologic disorders, ischemic heart disease, and other endocrine disorders had a greater than 3-fold increased risk of severe infection compared with persons of the same age without those conditions. Associations were attenuated in older age groups. CONCLUSION: Older persons are more likely to experience severe infections; however, severe cases occur in younger persons as well. Our data provide insight regarding younger persons at especially high risk of severe COVID-19 infection. |
format | Online Article Text |
id | pubmed-8255113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Mayo Foundation for Medical Education and Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-82551132021-07-06 Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population St. Sauver, Jennifer L. Lopes, Guilherme S. Rocca, Walter A. Prasad, Kavita Majerus, Michelle R. Limper, Andrew H. Jacobson, Debra J. Fan, Chun Jacobson, Robert M. Rutten, Lila J. Norman, Aaron D. Vachon, Celine M. Mayo Clin Proc Original Article OBJECTIVE: To identify risk factors associated with severe COVID-19 infection in a defined Midwestern US population overall and within different age groups. PATIENTS AND METHODS: We used the Rochester Epidemiology Project research infrastructure to identify persons residing in a defined 27-county Midwestern region who had positive results on polymerase chain reaction tests for COVID-19 between March 1, 2020, and September 30, 2020 (N=9928). Age, sex, race, ethnicity, body mass index, smoking status, and 44 chronic disease categories were considered as possible risk factors for severe infection. Severe infection was defined as hospitalization or death caused by COVID-19. Associations between risk factors and severe infection were estimated using Cox proportional hazard models overall and within 3 age groups (0 to 44, 45 to 64, and 65+ years). RESULTS: Overall, 474 (4.8%) persons developed severe COVID-19 infection. Older age, male sex, non-White race, Hispanic ethnicity, obesity, and a higher number of chronic conditions were associated with increased risk of severe infection. After adjustment, 36 chronic disease categories were significantly associated with severe infection. The risk of severe infection varied significantly across age groups. In particular, persons 0 to 44 years of age with cancer, chronic neurologic disorders, hematologic disorders, ischemic heart disease, and other endocrine disorders had a greater than 3-fold increased risk of severe infection compared with persons of the same age without those conditions. Associations were attenuated in older age groups. CONCLUSION: Older persons are more likely to experience severe infections; however, severe cases occur in younger persons as well. Our data provide insight regarding younger persons at especially high risk of severe COVID-19 infection. Mayo Foundation for Medical Education and Research 2021-10 2021-07-05 /pmc/articles/PMC8255113/ /pubmed/34538426 http://dx.doi.org/10.1016/j.mayocp.2021.06.023 Text en © 2021 Mayo Foundation for Medical Education and Research. 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 Article St. Sauver, Jennifer L. Lopes, Guilherme S. Rocca, Walter A. Prasad, Kavita Majerus, Michelle R. Limper, Andrew H. Jacobson, Debra J. Fan, Chun Jacobson, Robert M. Rutten, Lila J. Norman, Aaron D. Vachon, Celine M. Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population |
title | Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population |
title_full | Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population |
title_fullStr | Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population |
title_full_unstemmed | Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population |
title_short | Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population |
title_sort | factors associated with severe covid-19 infection among persons of different ages living in a defined midwestern us population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255113/ https://www.ncbi.nlm.nih.gov/pubmed/34538426 http://dx.doi.org/10.1016/j.mayocp.2021.06.023 |
work_keys_str_mv | AT stsauverjenniferl factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT lopesguilhermes factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT roccawaltera factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT prasadkavita factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT majerusmicheller factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT limperandrewh factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT jacobsondebraj factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT fanchun factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT jacobsonrobertm factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT ruttenlilaj factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT normanaarond factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation AT vachoncelinem factorsassociatedwithseverecovid19infectionamongpersonsofdifferentageslivinginadefinedmidwesternuspopulation |