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28.04.2018 | Original Article | Ausgabe 10/2018

Supportive Care in Cancer 10/2018

Factors associated with falls in older adults with cancer: a validated model from the Cancer and Aging Research Group

Zeitschrift:
Supportive Care in Cancer > Ausgabe 10/2018
Autoren:
Tanya M. Wildes, Ronald J. Maggiore, William P. Tew, David Smith, Can-Lan Sun, Harvey Cohen, Supriya G. Mohile, Ajeet Gajra, Heidi D. Klepin, Cynthia Owusu, Cary P. Gross, Hyman Muss, Andrew Chapman, Stuart M. Lichtman, Vani Katheria, Arti Hurria, On behalf of the Cancer and Aging Research Group
Wichtige Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s00520-018-4212-3) contains supplementary material, which is available to authorized users.

Abstract

Background

Falls in older adults with cancer are common, yet factors associated with fall-risk are not well-defined and may differ from the general geriatric population. This study aims to develop and validate a model of factors associated with prior falls among older adults with cancer.

Methods

In this cross-sectional secondary analysis, two cohorts of patients aged ≥ 65 with cancer were examined to develop and validate a model of factors associated with falls in the prior 6 months. Potential independent variables, including demographic and laboratory data and a geriatric assessment (encompassing comorbidities, functional status, physical performance, medications, and psychosocial status), were identified. A multivariate model was developed in the derivation cohort using an exhaustive modeling approach. The model selected for validation offered a low Akaike Information Criteria value and included dichotomized variables for ease of clinical use. This model was then applied in the validation cohort.

Results

The development cohort (N = 498) had a mean age of 73 (range 65–91). Nearly one-fifth (18.2%) reported a fall in the prior 6 months. The selected model comprised nine variables involving functional status, objective physical performance, depression, medications, and renal function. The AUC of the model was 0.72 (95% confidence intervals 0.65–0.78). In the validation cohort (N = 250), the prevalence of prior falls was 23.6%. The AUC of the model in the validation cohort was 0.62 (95% confidence intervals 0.51–0.71).

Conclusion

In this study, we developed and validated a model of factors associated with prior falls in older adults with cancer. Future study is needed to examine the utility of such a model in prospectively predicting incident falls.

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ESM 1 (DOCX 19 kb)
520_2018_4212_MOESM1_ESM.docx
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