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Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies)

OBJECTIVE: The primary objective was to identify predictive factors of inhospital death in a population of patients aged 65 years or older hospitalised with Chikungunya virus (CHIKV) infection. The secondary aim was to develop and validate a predictive score for inhospital death based on the predict...

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Autores principales: Godaert, Lidvine, Bartholet, Seendy, Dorléans, Fréderique, Najioullah, Fatiha, Colas, Sebastien, Fanon, Jean-Luc, Cabié, André, Césaire, Raymond, Dramé, Moustapha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5786118/
https://www.ncbi.nlm.nih.gov/pubmed/29362259
http://dx.doi.org/10.1136/bmjopen-2017-018838
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author Godaert, Lidvine
Bartholet, Seendy
Dorléans, Fréderique
Najioullah, Fatiha
Colas, Sebastien
Fanon, Jean-Luc
Cabié, André
Césaire, Raymond
Dramé, Moustapha
author_facet Godaert, Lidvine
Bartholet, Seendy
Dorléans, Fréderique
Najioullah, Fatiha
Colas, Sebastien
Fanon, Jean-Luc
Cabié, André
Césaire, Raymond
Dramé, Moustapha
author_sort Godaert, Lidvine
collection PubMed
description OBJECTIVE: The primary objective was to identify predictive factors of inhospital death in a population of patients aged 65 years or older hospitalised with Chikungunya virus (CHIKV) infection. The secondary aim was to develop and validate a predictive score for inhospital death based on the predictors identified. DESIGN: Longitudinal retrospective study from January to December 2014. SETTING: University Hospital of Martinique. PARTICIPANTS: Patients aged ≥65 years, admitted to any clinical ward and who underwent reverse transcription PCR testing for CHIKV infection. OUTCOME: Independent predictors of inhospital death were identified using multivariable Cox regression modelling. A predictive score was created using the adjusted HRs of factors associated with inhospital death. Receiver operating characteristic curve analysis was used to determine the best cut-off value. Bootstrap analysis was used to evaluate internal validity. RESULTS: Overall, 385 patients aged ≥65 years were included (average age: 80±8 years). Half were women, and 35 (9.1%) died during the hospital stay. Seven variables were found to be independently associated with inhospital death (concurrent cardiovascular disorders: HR 11.8, 95% CI 4.5 to 30.8; concurrent respiratory infection: HR 9.6, 95% CI 3.4 to 27.2; concurrent sensorimotor deficit: HR 7.6, 95% CI 2.0 to 28.5; absence of musculoskeletal pain: HR 2.6, 95% CI 1.3 to 5.3; history of alcoholism: HR 2.5, 95% CI 1.1 to 5.9; concurrent digestive symptoms: HR 2.4, 95% CI 1.2 to 4.9; presence of confusion or delirium: HR 2.1, 95% CI 1.1 to 4.2). The score ranged from 0 to 25, with an average of 6±6. The area under the curve was excellent (0.90; 95% CI 0.86 to 0.94). The best cut-off value was a score ≥8 points, with a sensitivity of 91% (82%–100%) and specificity of 75% (70%–80%). CONCLUSIONS: Signs observed by the clinician during the initial examination could predict inhospital death. The score will be helpful for early management of elderly subjects presenting within 7 days of symptom onset in the context of CHIKV outbreaks.
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spelling pubmed-57861182018-01-31 Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies) Godaert, Lidvine Bartholet, Seendy Dorléans, Fréderique Najioullah, Fatiha Colas, Sebastien Fanon, Jean-Luc Cabié, André Césaire, Raymond Dramé, Moustapha BMJ Open Geriatric Medicine OBJECTIVE: The primary objective was to identify predictive factors of inhospital death in a population of patients aged 65 years or older hospitalised with Chikungunya virus (CHIKV) infection. The secondary aim was to develop and validate a predictive score for inhospital death based on the predictors identified. DESIGN: Longitudinal retrospective study from January to December 2014. SETTING: University Hospital of Martinique. PARTICIPANTS: Patients aged ≥65 years, admitted to any clinical ward and who underwent reverse transcription PCR testing for CHIKV infection. OUTCOME: Independent predictors of inhospital death were identified using multivariable Cox regression modelling. A predictive score was created using the adjusted HRs of factors associated with inhospital death. Receiver operating characteristic curve analysis was used to determine the best cut-off value. Bootstrap analysis was used to evaluate internal validity. RESULTS: Overall, 385 patients aged ≥65 years were included (average age: 80±8 years). Half were women, and 35 (9.1%) died during the hospital stay. Seven variables were found to be independently associated with inhospital death (concurrent cardiovascular disorders: HR 11.8, 95% CI 4.5 to 30.8; concurrent respiratory infection: HR 9.6, 95% CI 3.4 to 27.2; concurrent sensorimotor deficit: HR 7.6, 95% CI 2.0 to 28.5; absence of musculoskeletal pain: HR 2.6, 95% CI 1.3 to 5.3; history of alcoholism: HR 2.5, 95% CI 1.1 to 5.9; concurrent digestive symptoms: HR 2.4, 95% CI 1.2 to 4.9; presence of confusion or delirium: HR 2.1, 95% CI 1.1 to 4.2). The score ranged from 0 to 25, with an average of 6±6. The area under the curve was excellent (0.90; 95% CI 0.86 to 0.94). The best cut-off value was a score ≥8 points, with a sensitivity of 91% (82%–100%) and specificity of 75% (70%–80%). CONCLUSIONS: Signs observed by the clinician during the initial examination could predict inhospital death. The score will be helpful for early management of elderly subjects presenting within 7 days of symptom onset in the context of CHIKV outbreaks. BMJ Publishing Group 2018-01-23 /pmc/articles/PMC5786118/ /pubmed/29362259 http://dx.doi.org/10.1136/bmjopen-2017-018838 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Geriatric Medicine
Godaert, Lidvine
Bartholet, Seendy
Dorléans, Fréderique
Najioullah, Fatiha
Colas, Sebastien
Fanon, Jean-Luc
Cabié, André
Césaire, Raymond
Dramé, Moustapha
Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies)
title Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies)
title_full Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies)
title_fullStr Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies)
title_full_unstemmed Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies)
title_short Prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in Martinique (French West Indies)
title_sort prognostic factors of inhospital death in elderly patients: a time-to-event analysis of a cohort study in martinique (french west indies)
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5786118/
https://www.ncbi.nlm.nih.gov/pubmed/29362259
http://dx.doi.org/10.1136/bmjopen-2017-018838
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