We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Development of the ADFICE_IT Models for Predicting Falls and Recurrent Falls in Community-Dwelling Older Adults: Pooled Analyses of European Cohorts With Special Attention to Medication.
- Authors
van de Loo, Bob; Seppala, Lotta J; van der Velde, Nathalie; Medlock, Stephanie; Denkinger, Michael; Groot, Lisette CPGM de; Kenny, Rose-Anne; Moriarty, Frank; Rothenbacher, Dietrich; Stricker, Bruno; Uitterlinden, André; Abu-Hanna, Ameen; Heymans, Martijn W; Schoor, Natasja van; de Groot, Lisette Cpgm; van Schoor, Natasja
- Abstract
<bold>Background: </bold>Use of fall prevention strategies requires detection of high-risk patients. Our goal was to develop prediction models for falls and recurrent falls in community-dwelling older adults and to improve upon previous models by using a large, pooled sample and by considering a wide range of candidate predictors, including medications.<bold>Methods: </bold>Harmonized data from 2 Dutch (LASA, B-PROOF) and 1 German cohort (ActiFE Ulm) of adults aged ≥65 years were used to fit 2 logistic regression models: one for predicting any fall and another for predicting recurrent falls over 1 year. Model generalizability was assessed using internal-external cross-validation.<bold>Results: </bold>Data of 5 722 participants were included in the analyses, of whom 1 868 (34.7%) endured at least 1 fall and 702 (13.8%) endured a recurrent fall. Positive predictors for any fall were: educational status, depression, verbal fluency, functional limitations, falls history, and use of antiepileptics and drugs for urinary frequency and incontinence; negative predictors were: body mass index (BMI), grip strength, systolic blood pressure, and smoking. Positive predictors for recurrent falls were: educational status, visual impairment, functional limitations, urinary incontinence, falls history, and use of anti-Parkinson drugs, antihistamines, and drugs for urinary frequency and incontinence; BMI was a negative predictor. The average C-statistic value was 0.65 for the model for any fall and 0.70 for the model for recurrent falls.<bold>Conclusion: </bold>Compared with previous models, the model for recurrent falls performed favorably while the model for any fall performed similarly. Validation and optimization of the models in other populations are warranted.
- Publication
Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2022, Vol 77, Issue 7, p1446
- ISSN
1079-5006
- Publication type
journal article
- DOI
10.1093/gerona/glac080