A Multidimensional Risk Score to Predict All-Cause Hospitalization in Community-Dwelling Older Individuals With Obstructive Lung Disease

Rosanne J. H. C. G. Beijers; Bram van den Borst; Anne B. Newman; Sachin Yende; Stephen B. Kritchevsky; Patricia A. Cassano; Douglas C. Bauer; Tamara B. Harris; Annemie M. W. J. Schols

doi:10.1016/j.jamda.2016.01.007

A Multidimensional Risk Score to Predict All-Cause Hospitalization in Community-Dwelling Older Individuals With Obstructive Lung Disease

Rosanne J. H. C. G. Beijers, Bram van den Borst^*, Anne B. Newman, Sachin Yende, Stephen B. Kritchevsky, Patricia A. Cassano, Douglas C. Bauer, Tamara B. Harris, Annemie M. W. J. Schols

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

7 Citations (Web of Science)

Abstract

Background: Both respiratory and nonrespiratory hospitalizations are common and costly events in older individuals with obstructive lung disease. Prevention of any hospitalization in these individuals is essential. We aimed to construct a prediction model for all-cause hospitalization risk in community-dwelling older individuals with obstructive lung disease. Methods: We studied 268 community-dwelling individuals with obstructive lung disease (defined as FEV1/FVC

Original language	English
Pages (from-to)	508-513
Journal	Journal of the American Medical Directors Association
Volume	17
Issue number	6
DOIs	https://doi.org/10.1016/j.jamda.2016.01.007
Publication status	Published - 1 Jun 2016

Keywords

COPD
pulmonary disease
older age persons
Cox proportional hazards modeling

Access to Document

10.1016/j.jamda.2016.01.007

Cite this

Beijers, R. J. H. C. G., van den Borst, B., Newman, A. B., Yende, S., Kritchevsky, S. B., Cassano, P. A., Bauer, D. C., Harris, T. B., & Schols, A. M. W. J. (2016). A Multidimensional Risk Score to Predict All-Cause Hospitalization in Community-Dwelling Older Individuals With Obstructive Lung Disease. Journal of the American Medical Directors Association, 17(6), 508-513. https://doi.org/10.1016/j.jamda.2016.01.007

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abstract = "Background: Both respiratory and nonrespiratory hospitalizations are common and costly events in older individuals with obstructive lung disease. Prevention of any hospitalization in these individuals is essential. We aimed to construct a prediction model for all-cause hospitalization risk in community-dwelling older individuals with obstructive lung disease. Methods: We studied 268 community-dwelling individuals with obstructive lung disease (defined as FEV1/FVC",

keywords = "COPD, pulmonary disease, older age persons, Cox proportional hazards modeling",

author = "Beijers, {Rosanne J. H. C. G.} and {van den Borst}, Bram and Newman, {Anne B.} and Sachin Yende and Kritchevsky, {Stephen B.} and Cassano, {Patricia A.} and Bauer, {Douglas C.} and Harris, {Tamara B.} and Schols, {Annemie M. W. J.}",

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Beijers, RJHCG, van den Borst, B, Newman, AB, Yende, S, Kritchevsky, SB, Cassano, PA, Bauer, DC, Harris, TB & Schols, AMWJ 2016, 'A Multidimensional Risk Score to Predict All-Cause Hospitalization in Community-Dwelling Older Individuals With Obstructive Lung Disease', Journal of the American Medical Directors Association, vol. 17, no. 6, pp. 508-513. https://doi.org/10.1016/j.jamda.2016.01.007

A Multidimensional Risk Score to Predict All-Cause Hospitalization in Community-Dwelling Older Individuals With Obstructive Lung Disease. / Beijers, Rosanne J. H. C. G.; van den Borst, Bram; Newman, Anne B. et al.

In: Journal of the American Medical Directors Association, Vol. 17, No. 6, 01.06.2016, p. 508-513.

Research output: Contribution to journal › Article › Academic › peer-review

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AU - Yende, Sachin

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AB - Background: Both respiratory and nonrespiratory hospitalizations are common and costly events in older individuals with obstructive lung disease. Prevention of any hospitalization in these individuals is essential. We aimed to construct a prediction model for all-cause hospitalization risk in community-dwelling older individuals with obstructive lung disease. Methods: We studied 268 community-dwelling individuals with obstructive lung disease (defined as FEV1/FVC

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