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Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study

BACKGROUND: Frailty can inform management approaches for individuals with COPD. However, inpatient measures of frailty are seldom employed because they are time-consuming or inapplicable for bed-bound patients. We investigated the feasibility and potential of an innovative sensor-based upper-extremi...

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Autores principales: Ehsani, Hossein, Mohler, Martha Jane, Golden, Todd, Toosizadeh, Nima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305140/
https://www.ncbi.nlm.nih.gov/pubmed/30587960
http://dx.doi.org/10.2147/COPD.S182802
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author Ehsani, Hossein
Mohler, Martha Jane
Golden, Todd
Toosizadeh, Nima
author_facet Ehsani, Hossein
Mohler, Martha Jane
Golden, Todd
Toosizadeh, Nima
author_sort Ehsani, Hossein
collection PubMed
description BACKGROUND: Frailty can inform management approaches for individuals with COPD. However, inpatient measures of frailty are seldom employed because they are time-consuming or inapplicable for bed-bound patients. We investigated the feasibility and potential of an innovative sensor-based upper-extremity function (UEF) test for frailty assessment in predicting adverse outcomes. METHODS: Hospitalized patients with COPD-related exacerbations (aged ≥55 years) were recruited and performed the UEF test within 24 hours of admission. UEF parameters were obtained and fed into our previously developed frailty model to calculate frailty status (non-frail, pre-frail, and frail) and frailty score (0: extreme resilience to 1: extreme frailty). In-hospital (length of stay) and post-discharge (discharge disposition, 30-day exacerbation with treatment, and all-cause 30-day readmission) outcomes were collected. Associations between UEF frailty and outcomes were investigated using ANOVA and logistic models adjusted for demographic data. RESULTS: In total, 42 patients were recruited. All participants were able to perform the UEF test. Based on UEF, participants were stratified into three groups of non-frail (n=6, frailty score =0.18±0.09), pre-frail (n=14, frailty score =0.45±0.09), and frail (n=22, frailty score =0.78±0.11). Both frailty status and frailty score were significantly associated with unfavorable discharge disposition (P<0.005) and all-cause 30-day readmission (P<0.05). On the other hand, UEF frailty measures were associated with neither hospital length of stay (P>0.5) nor 30-day exacerbation with treatment (P>0.70). Age was only significantly associated with unfavorable discharge disposition (P=0.048). CONCLUSION: In agreement with previous work, the current findings underline the importance of measuring frailty for risk-stratification of COPD patients. The UEF was feasible and easily performed among all hospitalized COPD patients. In this study, we have shown that, using our quick and objective frailty measures, COPD patients can be prospectively risk-stratified in terms of unfavorable discharge disposition and all-cause 30-day readmissions.
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spelling pubmed-63051402018-12-26 Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study Ehsani, Hossein Mohler, Martha Jane Golden, Todd Toosizadeh, Nima Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: Frailty can inform management approaches for individuals with COPD. However, inpatient measures of frailty are seldom employed because they are time-consuming or inapplicable for bed-bound patients. We investigated the feasibility and potential of an innovative sensor-based upper-extremity function (UEF) test for frailty assessment in predicting adverse outcomes. METHODS: Hospitalized patients with COPD-related exacerbations (aged ≥55 years) were recruited and performed the UEF test within 24 hours of admission. UEF parameters were obtained and fed into our previously developed frailty model to calculate frailty status (non-frail, pre-frail, and frail) and frailty score (0: extreme resilience to 1: extreme frailty). In-hospital (length of stay) and post-discharge (discharge disposition, 30-day exacerbation with treatment, and all-cause 30-day readmission) outcomes were collected. Associations between UEF frailty and outcomes were investigated using ANOVA and logistic models adjusted for demographic data. RESULTS: In total, 42 patients were recruited. All participants were able to perform the UEF test. Based on UEF, participants were stratified into three groups of non-frail (n=6, frailty score =0.18±0.09), pre-frail (n=14, frailty score =0.45±0.09), and frail (n=22, frailty score =0.78±0.11). Both frailty status and frailty score were significantly associated with unfavorable discharge disposition (P<0.005) and all-cause 30-day readmission (P<0.05). On the other hand, UEF frailty measures were associated with neither hospital length of stay (P>0.5) nor 30-day exacerbation with treatment (P>0.70). Age was only significantly associated with unfavorable discharge disposition (P=0.048). CONCLUSION: In agreement with previous work, the current findings underline the importance of measuring frailty for risk-stratification of COPD patients. The UEF was feasible and easily performed among all hospitalized COPD patients. In this study, we have shown that, using our quick and objective frailty measures, COPD patients can be prospectively risk-stratified in terms of unfavorable discharge disposition and all-cause 30-day readmissions. Dove Medical Press 2018-12-18 /pmc/articles/PMC6305140/ /pubmed/30587960 http://dx.doi.org/10.2147/COPD.S182802 Text en © 2019 Ehsani et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Ehsani, Hossein
Mohler, Martha Jane
Golden, Todd
Toosizadeh, Nima
Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study
title Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study
title_full Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study
title_fullStr Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study
title_full_unstemmed Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study
title_short Upper-extremity function prospectively predicts adverse discharge and all-cause COPD readmissions: a pilot study
title_sort upper-extremity function prospectively predicts adverse discharge and all-cause copd readmissions: a pilot study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305140/
https://www.ncbi.nlm.nih.gov/pubmed/30587960
http://dx.doi.org/10.2147/COPD.S182802
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