Development and validation of a new prognostic index for mortality risk in multimorbid adults.

<h4>Context</h4>Multimorbidity is highly prevalent among older adults and associated with a high mortality. Prediction of mortality in multimorbid people would be clinically useful but there is no mortality risk index designed for this population. Our objective was therefore to develop a...

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Main Authors: Viktoria Gastens, Arnaud Chiolero, Daniela Anker, Claudio Schneider, Martin Feller, Douglas C Bauer, Nicolas Rodondi, Cinzia Del Giovane
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0271923
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author Viktoria Gastens
Arnaud Chiolero
Daniela Anker
Claudio Schneider
Martin Feller
Douglas C Bauer
Nicolas Rodondi
Cinzia Del Giovane
author_facet Viktoria Gastens
Arnaud Chiolero
Daniela Anker
Claudio Schneider
Martin Feller
Douglas C Bauer
Nicolas Rodondi
Cinzia Del Giovane
author_sort Viktoria Gastens
collection DOAJ
description <h4>Context</h4>Multimorbidity is highly prevalent among older adults and associated with a high mortality. Prediction of mortality in multimorbid people would be clinically useful but there is no mortality risk index designed for this population. Our objective was therefore to develop and internally validate a 1-year mortality prognostic index for older multimorbid adults.<h4>Methods</h4>We analysed data of the OPERAM cohort study in Bern, Switzerland, including 822 adults aged 70 years or more with multimorbidity (3 or more chronic medical conditions) and polypharmacy (use of 5 drugs or more for >30 days). Time to all-cause mortality was assessed up to 1 year of follow-up. We performed a parametric Weibull regression model with backward stepwise selection to identify mortality risk predictors. The model was internally validated and optimism corrected using bootstrapping techniques. We derived a point-based risk score from the regression coefficients. Calibration and discrimination were assessed by the calibration slope and C statistic.<h4>Results</h4>805 participants were included in the analysis. During 1-year of follow-up, 158 participants (20%) had died. Age, Charlson-Comorbidity-Index, number of drugs, body mass index, number of hospitalizations, Barthel-Index (functional impairment), and nursing home residency were predictors of 1-year mortality in a multivariable model. Using these variables, the 1-year probability of dying could be predicted with an optimism-corrected C statistic of 0.70. The optimism-corrected calibration slope was 0.93. Based on the derived point-based risk score to predict mortality risk, 7% of the patients classified at low-risk of mortality, 19% at moderate-risk, and 37% at high-risk died after one year of follow-up. A simpler mortality score, without the Charlson-Comorbidity-Index and Barthel-Index, showed reduced discriminative power (optimism-corrected C statistic: 0.59) compared to the full score.<h4>Conclusion</h4>We developed and internally validated a mortality risk index including for the first-time specific predictors for multimorbid adults. This new 1-year mortality prediction point-based score allowed to classify multimorbid older patients into three categories of increasing risk of mortality. Further validation of the score among various populations of multimorbid patients is needed before its implementation into practice.
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spelling doaj.art-b3782714bba24be1bdc009e23a45fd502022-12-22T01:38:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01178e027192310.1371/journal.pone.0271923Development and validation of a new prognostic index for mortality risk in multimorbid adults.Viktoria GastensArnaud ChioleroDaniela AnkerClaudio SchneiderMartin FellerDouglas C BauerNicolas RodondiCinzia Del Giovane<h4>Context</h4>Multimorbidity is highly prevalent among older adults and associated with a high mortality. Prediction of mortality in multimorbid people would be clinically useful but there is no mortality risk index designed for this population. Our objective was therefore to develop and internally validate a 1-year mortality prognostic index for older multimorbid adults.<h4>Methods</h4>We analysed data of the OPERAM cohort study in Bern, Switzerland, including 822 adults aged 70 years or more with multimorbidity (3 or more chronic medical conditions) and polypharmacy (use of 5 drugs or more for >30 days). Time to all-cause mortality was assessed up to 1 year of follow-up. We performed a parametric Weibull regression model with backward stepwise selection to identify mortality risk predictors. The model was internally validated and optimism corrected using bootstrapping techniques. We derived a point-based risk score from the regression coefficients. Calibration and discrimination were assessed by the calibration slope and C statistic.<h4>Results</h4>805 participants were included in the analysis. During 1-year of follow-up, 158 participants (20%) had died. Age, Charlson-Comorbidity-Index, number of drugs, body mass index, number of hospitalizations, Barthel-Index (functional impairment), and nursing home residency were predictors of 1-year mortality in a multivariable model. Using these variables, the 1-year probability of dying could be predicted with an optimism-corrected C statistic of 0.70. The optimism-corrected calibration slope was 0.93. Based on the derived point-based risk score to predict mortality risk, 7% of the patients classified at low-risk of mortality, 19% at moderate-risk, and 37% at high-risk died after one year of follow-up. A simpler mortality score, without the Charlson-Comorbidity-Index and Barthel-Index, showed reduced discriminative power (optimism-corrected C statistic: 0.59) compared to the full score.<h4>Conclusion</h4>We developed and internally validated a mortality risk index including for the first-time specific predictors for multimorbid adults. This new 1-year mortality prediction point-based score allowed to classify multimorbid older patients into three categories of increasing risk of mortality. Further validation of the score among various populations of multimorbid patients is needed before its implementation into practice.https://doi.org/10.1371/journal.pone.0271923
spellingShingle Viktoria Gastens
Arnaud Chiolero
Daniela Anker
Claudio Schneider
Martin Feller
Douglas C Bauer
Nicolas Rodondi
Cinzia Del Giovane
Development and validation of a new prognostic index for mortality risk in multimorbid adults.
PLoS ONE
title Development and validation of a new prognostic index for mortality risk in multimorbid adults.
title_full Development and validation of a new prognostic index for mortality risk in multimorbid adults.
title_fullStr Development and validation of a new prognostic index for mortality risk in multimorbid adults.
title_full_unstemmed Development and validation of a new prognostic index for mortality risk in multimorbid adults.
title_short Development and validation of a new prognostic index for mortality risk in multimorbid adults.
title_sort development and validation of a new prognostic index for mortality risk in multimorbid adults
url https://doi.org/10.1371/journal.pone.0271923
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