Cargando…

Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease

BACKGROUND: Frail patients with chronic obstructive pulmonary disease (COPD) face a higher risk of adverse outcomes, but there is no clear consensus on which frailty measures are most suitable for COPD patients. Herein we evaluated the ability of frailty measurements in predicting 1-year acute exace...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Dai, Tang, Wen, Dou, Li-Yang, Luo, Jia, Sun, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761265/
https://www.ncbi.nlm.nih.gov/pubmed/35034605
http://dx.doi.org/10.1186/s12877-022-02750-z
_version_ 1784633490598264832
author Zhang, Dai
Tang, Wen
Dou, Li-Yang
Luo, Jia
Sun, Ying
author_facet Zhang, Dai
Tang, Wen
Dou, Li-Yang
Luo, Jia
Sun, Ying
author_sort Zhang, Dai
collection PubMed
description BACKGROUND: Frail patients with chronic obstructive pulmonary disease (COPD) face a higher risk of adverse outcomes, but there is no clear consensus on which frailty measures are most suitable for COPD patients. Herein we evaluated the ability of frailty measurements in predicting 1-year acute exacerbation, hospitalization, and mortality in older patients with COPD. METHODS: A total of 302 patients [median age: 86 years (IQR: 80–90), 22.2% female] were admitted to the Department of Geriatric Medicine were prospectively enrolled in this study. Frailty status was assessed using the Fried Frailty Phenotype (FFP), Clinical Frailty Scale (CFS), Frailty Index of Accumulative Deficits (FI-CD), and Short Physical Performance Battery (SPPB). Cox proportional hazard regression and Poisson regression were used to evaluating the association of the adverse outcomes with frailty as assessed using the four instruments. The discrimination accuracy of these tools in predicting the 1-year all-cause mortality was also compared. RESULTS: Prevalence of frailty ranged from 51% (using FFP) to 64.2% (using CFS). The four frail instruments were associated with 1-year mortality. After an average follow-up time of 2.18 years (IQR: 1.56–2.62 years), frailty as defined by four instruments (except for FI-CD), was associated with death [FFP: Hazard ratio (HR) = 3.11, 95% confidence interval (CI) 1.30–7.44; CFS: HR = 3.68, 95% CI 1.03–13.16; SPPB: HR = 3.74, 95% CI 1.39–10.06). Frailty was also associated with acute exacerbation (using FFP) and hospitalization (using FFP, CFS, and FI-CD). Frail showed a moderate predictive ability [area under the curve ranging (AUC) 0.70–0.80] and a high negative predictive value (0.98–0.99) for 1-year mortality. CONCLUSIONS: With the four different frailty assessment tools, frailty was associated with poor prognosis in older patients with stable COPD. The FFP, CFS, FI-CD, and SPPB instruments showed similar performance in predicting 1-year mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02750-z.
format Online
Article
Text
id pubmed-8761265
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-87612652022-01-18 Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease Zhang, Dai Tang, Wen Dou, Li-Yang Luo, Jia Sun, Ying BMC Geriatr Research BACKGROUND: Frail patients with chronic obstructive pulmonary disease (COPD) face a higher risk of adverse outcomes, but there is no clear consensus on which frailty measures are most suitable for COPD patients. Herein we evaluated the ability of frailty measurements in predicting 1-year acute exacerbation, hospitalization, and mortality in older patients with COPD. METHODS: A total of 302 patients [median age: 86 years (IQR: 80–90), 22.2% female] were admitted to the Department of Geriatric Medicine were prospectively enrolled in this study. Frailty status was assessed using the Fried Frailty Phenotype (FFP), Clinical Frailty Scale (CFS), Frailty Index of Accumulative Deficits (FI-CD), and Short Physical Performance Battery (SPPB). Cox proportional hazard regression and Poisson regression were used to evaluating the association of the adverse outcomes with frailty as assessed using the four instruments. The discrimination accuracy of these tools in predicting the 1-year all-cause mortality was also compared. RESULTS: Prevalence of frailty ranged from 51% (using FFP) to 64.2% (using CFS). The four frail instruments were associated with 1-year mortality. After an average follow-up time of 2.18 years (IQR: 1.56–2.62 years), frailty as defined by four instruments (except for FI-CD), was associated with death [FFP: Hazard ratio (HR) = 3.11, 95% confidence interval (CI) 1.30–7.44; CFS: HR = 3.68, 95% CI 1.03–13.16; SPPB: HR = 3.74, 95% CI 1.39–10.06). Frailty was also associated with acute exacerbation (using FFP) and hospitalization (using FFP, CFS, and FI-CD). Frail showed a moderate predictive ability [area under the curve ranging (AUC) 0.70–0.80] and a high negative predictive value (0.98–0.99) for 1-year mortality. CONCLUSIONS: With the four different frailty assessment tools, frailty was associated with poor prognosis in older patients with stable COPD. The FFP, CFS, FI-CD, and SPPB instruments showed similar performance in predicting 1-year mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02750-z. BioMed Central 2022-01-16 /pmc/articles/PMC8761265/ /pubmed/35034605 http://dx.doi.org/10.1186/s12877-022-02750-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Dai
Tang, Wen
Dou, Li-Yang
Luo, Jia
Sun, Ying
Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease
title Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease
title_full Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease
title_fullStr Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease
title_full_unstemmed Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease
title_short Four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease
title_sort four different frailty models predict health outcomes in older patients with stable chronic obstructive pulmonary disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761265/
https://www.ncbi.nlm.nih.gov/pubmed/35034605
http://dx.doi.org/10.1186/s12877-022-02750-z
work_keys_str_mv AT zhangdai fourdifferentfrailtymodelspredicthealthoutcomesinolderpatientswithstablechronicobstructivepulmonarydisease
AT tangwen fourdifferentfrailtymodelspredicthealthoutcomesinolderpatientswithstablechronicobstructivepulmonarydisease
AT douliyang fourdifferentfrailtymodelspredicthealthoutcomesinolderpatientswithstablechronicobstructivepulmonarydisease
AT luojia fourdifferentfrailtymodelspredicthealthoutcomesinolderpatientswithstablechronicobstructivepulmonarydisease
AT sunying fourdifferentfrailtymodelspredicthealthoutcomesinolderpatientswithstablechronicobstructivepulmonarydisease