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


Authors: Wildes, T. M.; Maggiore, R. J.; Tew, W. P.; Smith, D.; Sun, C. L.; Cohen, H.; Mohile, S. G.; Gajra, A.; Klepin, H. D.; Owusu, C.; Gross, C. P.; Muss, H.; Chapman, A.; Lichtman, S. M.; Katheria, V.; Hurria, A.; On behalf of the Cancer and Aging Research Group
Article Title: Factors associated with falls in older adults with cancer: A validated model from the Cancer and Aging Research Group
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. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords: neoplasms; activities of daily living; polypharmacy; geriatric assessment; accidental falls
Journal Title: Supportive Care in Cancer
Volume: 26
Issue: 10
ISSN: 0941-4355
Publisher: Springer Verlag  
Date Published: 2018-10-01
Start Page: 3563
End Page: 3570
Language: English
DOI: 10.1007/s00520-018-4212-3
PROVIDER: scopus
PMCID: PMC6117216
PUBMED: 29705872
DOI/URL:
Notes: Article -- Export Date: 5 October 2018 -- Source: Scopus
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  1. Stuart Lichtman
    228 Lichtman
  2. William P Tew
    244 Tew