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Prescription-based prediction of baseline mortality risk among older men

BACKGROUND: Understanding the association between patients’ history of prescribed medications and mortality rate could optimize characterization of baseline risk when the Charlson Comorbidity Index is insufficient. METHODS: Using a Swedish cohort of men selected randomly as controls to men with pros...

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Detalles Bibliográficos
Autores principales: Gedeborg, Rolf, Garmo, Hans, Robinson, David, Stattin, Pär
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595371/
https://www.ncbi.nlm.nih.gov/pubmed/33119680
http://dx.doi.org/10.1371/journal.pone.0241439
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author Gedeborg, Rolf
Garmo, Hans
Robinson, David
Stattin, Pär
author_facet Gedeborg, Rolf
Garmo, Hans
Robinson, David
Stattin, Pär
author_sort Gedeborg, Rolf
collection PubMed
description BACKGROUND: Understanding the association between patients’ history of prescribed medications and mortality rate could optimize characterization of baseline risk when the Charlson Comorbidity Index is insufficient. METHODS: Using a Swedish cohort of men selected randomly as controls to men with prostate cancer diagnosed 2007–2013, we estimated the association between medications prescribed during the previous year and mortality rates, using Cox regression stratified for age. RESULTS: Among the 326,450 older men with median age of 69 years included in this study, 73% were categorized as free of comorbidity according to the Charlson Comorbidity Index; however, 84% had received at least one prescription during the year preceding the follow-up. This was associated with a 60% overall increase in mortality rate (hazard ratio [HR] = 1.60, 95% confidence interval [CI] 1.56 to 1.64). Some drugs that were unexpectedly associated with mortality included locally acting antacids (HR = 4.7, 95% CI 4.4 to 5.1), propulsives (HR = 4.7, 95% CI 4.4 to 5.0), vitamin A and D (HR = 4.6, 95% CI 4.3 to 4.9), and loop diuretics, for example furosemide (HR = 3.7; 95% CI 3.6 to 3.8). Thiazide diuretics, however, were only weakly associated with a mortality risk (HR = 1.5; 95% CI 1.4 to 1.5). Surprisingly, only weak associations with mortality were seen for major cardiovascular drug classes. CONCLUSIONS: A majority of older men had a history of prescribed medications and many drug classes were associated with mortality rate, including drug classes not directly indicated for a specific comorbidity represented in commonly used comorbidity measures. Prescription history can improve baseline risk assessment but some associations might be context-sensitive.
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spelling pubmed-75953712020-11-02 Prescription-based prediction of baseline mortality risk among older men Gedeborg, Rolf Garmo, Hans Robinson, David Stattin, Pär PLoS One Research Article BACKGROUND: Understanding the association between patients’ history of prescribed medications and mortality rate could optimize characterization of baseline risk when the Charlson Comorbidity Index is insufficient. METHODS: Using a Swedish cohort of men selected randomly as controls to men with prostate cancer diagnosed 2007–2013, we estimated the association between medications prescribed during the previous year and mortality rates, using Cox regression stratified for age. RESULTS: Among the 326,450 older men with median age of 69 years included in this study, 73% were categorized as free of comorbidity according to the Charlson Comorbidity Index; however, 84% had received at least one prescription during the year preceding the follow-up. This was associated with a 60% overall increase in mortality rate (hazard ratio [HR] = 1.60, 95% confidence interval [CI] 1.56 to 1.64). Some drugs that were unexpectedly associated with mortality included locally acting antacids (HR = 4.7, 95% CI 4.4 to 5.1), propulsives (HR = 4.7, 95% CI 4.4 to 5.0), vitamin A and D (HR = 4.6, 95% CI 4.3 to 4.9), and loop diuretics, for example furosemide (HR = 3.7; 95% CI 3.6 to 3.8). Thiazide diuretics, however, were only weakly associated with a mortality risk (HR = 1.5; 95% CI 1.4 to 1.5). Surprisingly, only weak associations with mortality were seen for major cardiovascular drug classes. CONCLUSIONS: A majority of older men had a history of prescribed medications and many drug classes were associated with mortality rate, including drug classes not directly indicated for a specific comorbidity represented in commonly used comorbidity measures. Prescription history can improve baseline risk assessment but some associations might be context-sensitive. Public Library of Science 2020-10-29 /pmc/articles/PMC7595371/ /pubmed/33119680 http://dx.doi.org/10.1371/journal.pone.0241439 Text en © 2020 Gedeborg et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gedeborg, Rolf
Garmo, Hans
Robinson, David
Stattin, Pär
Prescription-based prediction of baseline mortality risk among older men
title Prescription-based prediction of baseline mortality risk among older men
title_full Prescription-based prediction of baseline mortality risk among older men
title_fullStr Prescription-based prediction of baseline mortality risk among older men
title_full_unstemmed Prescription-based prediction of baseline mortality risk among older men
title_short Prescription-based prediction of baseline mortality risk among older men
title_sort prescription-based prediction of baseline mortality risk among older men
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595371/
https://www.ncbi.nlm.nih.gov/pubmed/33119680
http://dx.doi.org/10.1371/journal.pone.0241439
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