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Time-to-event modeling of hypertension reveals the nonexistence of true controls
Given a lifetime risk of ~90% by the ninth decade of life, it is unknown if there are true controls for hypertension in epidemiological and genetic studies. Here, we compared Bayesian logistic and time-to-event approaches to modeling hypertension. The median age at hypertension was approximately a d...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707825/ https://www.ncbi.nlm.nih.gov/pubmed/33258447 http://dx.doi.org/10.7554/eLife.62998 |
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author | Shriner, Daniel Bentley, Amy R Zhou, Jie Ekoru, Kenneth Doumatey, Ayo P Chen, Guanjie Adeyemo, Adebowale Rotimi, Charles N |
author_facet | Shriner, Daniel Bentley, Amy R Zhou, Jie Ekoru, Kenneth Doumatey, Ayo P Chen, Guanjie Adeyemo, Adebowale Rotimi, Charles N |
author_sort | Shriner, Daniel |
collection | PubMed |
description | Given a lifetime risk of ~90% by the ninth decade of life, it is unknown if there are true controls for hypertension in epidemiological and genetic studies. Here, we compared Bayesian logistic and time-to-event approaches to modeling hypertension. The median age at hypertension was approximately a decade earlier in African Americans than in European Americans or Mexican Americans. The probability of being free of hypertension at 85 years of age in African Americans was less than half that in European Americans or Mexican Americans. In all groups, baseline hazard rates increased until nearly 60 years of age and then decreased but did not reach zero. Taken together, modeling of the baseline hazard function of hypertension suggests that there are no true controls and that controls in logistic regression are cases with a late age of onset. |
format | Online Article Text |
id | pubmed-7707825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77078252020-12-02 Time-to-event modeling of hypertension reveals the nonexistence of true controls Shriner, Daniel Bentley, Amy R Zhou, Jie Ekoru, Kenneth Doumatey, Ayo P Chen, Guanjie Adeyemo, Adebowale Rotimi, Charles N eLife Epidemiology and Global Health Given a lifetime risk of ~90% by the ninth decade of life, it is unknown if there are true controls for hypertension in epidemiological and genetic studies. Here, we compared Bayesian logistic and time-to-event approaches to modeling hypertension. The median age at hypertension was approximately a decade earlier in African Americans than in European Americans or Mexican Americans. The probability of being free of hypertension at 85 years of age in African Americans was less than half that in European Americans or Mexican Americans. In all groups, baseline hazard rates increased until nearly 60 years of age and then decreased but did not reach zero. Taken together, modeling of the baseline hazard function of hypertension suggests that there are no true controls and that controls in logistic regression are cases with a late age of onset. eLife Sciences Publications, Ltd 2020-12-01 /pmc/articles/PMC7707825/ /pubmed/33258447 http://dx.doi.org/10.7554/eLife.62998 Text en http://creativecommons.org/publicdomain/zero/1.0/ http://creativecommons.org/publicdomain/zero/1.0/This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (http://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Epidemiology and Global Health Shriner, Daniel Bentley, Amy R Zhou, Jie Ekoru, Kenneth Doumatey, Ayo P Chen, Guanjie Adeyemo, Adebowale Rotimi, Charles N Time-to-event modeling of hypertension reveals the nonexistence of true controls |
title | Time-to-event modeling of hypertension reveals the nonexistence of true controls |
title_full | Time-to-event modeling of hypertension reveals the nonexistence of true controls |
title_fullStr | Time-to-event modeling of hypertension reveals the nonexistence of true controls |
title_full_unstemmed | Time-to-event modeling of hypertension reveals the nonexistence of true controls |
title_short | Time-to-event modeling of hypertension reveals the nonexistence of true controls |
title_sort | time-to-event modeling of hypertension reveals the nonexistence of true controls |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707825/ https://www.ncbi.nlm.nih.gov/pubmed/33258447 http://dx.doi.org/10.7554/eLife.62998 |
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