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Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease

OBJECTIVES: To identify vulnerable cardiovascular patients in the hospital using a self-reported function-based screening tool. PARTICIPANTS: Prospective observational cohort study of 445 individuals aged ≥65 years admitted to a university medical centre hospital within the USA with acute coronary s...

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Autores principales: Bell, Susan P, Schnelle, John, Nwosu, Samuel K, Schildcrout, Jonathan, Goggins, Kathryn, Cawthon, Courtney, Mixon, Amanda S, Vasilevskis, Eduard E, Kripalani, Sunil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4554894/
https://www.ncbi.nlm.nih.gov/pubmed/26316650
http://dx.doi.org/10.1136/bmjopen-2015-008122
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author Bell, Susan P
Schnelle, John
Nwosu, Samuel K
Schildcrout, Jonathan
Goggins, Kathryn
Cawthon, Courtney
Mixon, Amanda S
Vasilevskis, Eduard E
Kripalani, Sunil
author_facet Bell, Susan P
Schnelle, John
Nwosu, Samuel K
Schildcrout, Jonathan
Goggins, Kathryn
Cawthon, Courtney
Mixon, Amanda S
Vasilevskis, Eduard E
Kripalani, Sunil
author_sort Bell, Susan P
collection PubMed
description OBJECTIVES: To identify vulnerable cardiovascular patients in the hospital using a self-reported function-based screening tool. PARTICIPANTS: Prospective observational cohort study of 445 individuals aged ≥65 years admitted to a university medical centre hospital within the USA with acute coronary syndrome and/or decompensated heart failure. METHODS: Participants completed an inperson interview during hospitalisation, which included vulnerable functional status using the Vulnerable Elders Survey (VES-13), sociodemographic, healthcare utilisation practices and clinical patient-specific measures. A multivariable proportional odds logistic regression model examined associations between VES-13 and prior healthcare utilisation, as well as other coincident medical and psychosocial risk factors for poor outcomes in cardiovascular disease. RESULTS: Vulnerability was highly prevalent (54%) and associated with a higher number of clinic visits, emergency room visits and hospitalisations (all p<0.001). A multivariable analysis demonstrating a 1-point increase in VES-13 (vulnerability) was independently associated with being female (OR 1.55, p=0.030), diagnosis of heart failure (OR 3.11, p<0.001), prior hospitalisations (OR 1.30, p<0.001), low social support (OR 1.42, p=0.007) and depression (p<0.001). A lower VES-13 score (lower vulnerability) was associated with increased health literacy (OR 0.70, p=0.002). CONCLUSIONS: Vulnerability to functional decline is highly prevalent in hospitalised older cardiovascular patients and was associated with patient risk factors for adverse outcomes and an increased use of healthcare services.
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spelling pubmed-45548942015-09-03 Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease Bell, Susan P Schnelle, John Nwosu, Samuel K Schildcrout, Jonathan Goggins, Kathryn Cawthon, Courtney Mixon, Amanda S Vasilevskis, Eduard E Kripalani, Sunil BMJ Open Geriatric Medicine OBJECTIVES: To identify vulnerable cardiovascular patients in the hospital using a self-reported function-based screening tool. PARTICIPANTS: Prospective observational cohort study of 445 individuals aged ≥65 years admitted to a university medical centre hospital within the USA with acute coronary syndrome and/or decompensated heart failure. METHODS: Participants completed an inperson interview during hospitalisation, which included vulnerable functional status using the Vulnerable Elders Survey (VES-13), sociodemographic, healthcare utilisation practices and clinical patient-specific measures. A multivariable proportional odds logistic regression model examined associations between VES-13 and prior healthcare utilisation, as well as other coincident medical and psychosocial risk factors for poor outcomes in cardiovascular disease. RESULTS: Vulnerability was highly prevalent (54%) and associated with a higher number of clinic visits, emergency room visits and hospitalisations (all p<0.001). A multivariable analysis demonstrating a 1-point increase in VES-13 (vulnerability) was independently associated with being female (OR 1.55, p=0.030), diagnosis of heart failure (OR 3.11, p<0.001), prior hospitalisations (OR 1.30, p<0.001), low social support (OR 1.42, p=0.007) and depression (p<0.001). A lower VES-13 score (lower vulnerability) was associated with increased health literacy (OR 0.70, p=0.002). CONCLUSIONS: Vulnerability to functional decline is highly prevalent in hospitalised older cardiovascular patients and was associated with patient risk factors for adverse outcomes and an increased use of healthcare services. BMJ Publishing Group 2015-08-27 /pmc/articles/PMC4554894/ /pubmed/26316650 http://dx.doi.org/10.1136/bmjopen-2015-008122 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Geriatric Medicine
Bell, Susan P
Schnelle, John
Nwosu, Samuel K
Schildcrout, Jonathan
Goggins, Kathryn
Cawthon, Courtney
Mixon, Amanda S
Vasilevskis, Eduard E
Kripalani, Sunil
Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease
title Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease
title_full Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease
title_fullStr Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease
title_full_unstemmed Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease
title_short Development of a multivariable model to predict vulnerability in older American patients hospitalised with cardiovascular disease
title_sort development of a multivariable model to predict vulnerability in older american patients hospitalised with cardiovascular disease
topic Geriatric Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4554894/
https://www.ncbi.nlm.nih.gov/pubmed/26316650
http://dx.doi.org/10.1136/bmjopen-2015-008122
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