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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...

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Detalles Bibliográficos
Autores principales: Shriner, Daniel, Bentley, Amy R, Zhou, Jie, Ekoru, Kenneth, Doumatey, Ayo P, Chen, Guanjie, Adeyemo, Adebowale, Rotimi, Charles N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
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
Descripción
Sumario: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.