External validation and further exploration of fall prediction models based on questionnaires and daily-life trunk accelerometry
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Le résumé fourni par la source
Abstract Background Ambulatory measurements of trunk accelerations can provide valuable insight into the amount and quality of daily life activities. Such information has been used to create models that aim to identify individuals at high risk of falls. However, external validation of such prediction models is lacking, yet crucial for clinical implementation. We externally validated three previously described fall prediction models (van Schooten et al., 2015a). Methods Complete questionnaires and one week of trunk acceleration data were obtained in 263 community-dwelling people (mean age 71.8 years, 68.1% female). To validate models, we first used the coefficients and optimal cut-offs from original cohort, then recalibrated the original models, as well as optimized parameters based on our new cohort. Results Among all participants, 39.9% experienced falls during 6-month follow-up. All models showed poor precision (0.20-0.49), poor sensitivity (0.32-0.58), and good specificity (0.45-0.89). Calibration of the original models had limited effect on model performance. Using coefficients and cut-offs optimized on the external cohort also had limited benefit. Last, the odds ratios in our cohort were different from those in the original cohort and indicated that gait characteristics, except for index of harmonicity ML, were not statistically significantly associated with falls. Conclusions Prediction of fall risk in our cohort was not as effective as in the original cohort. Recalibration as well as optimized model parameters resulted in limited increase in accuracy. Fall prediction models are highly specific to the cohort studied. This highlights the need for large representative cohorts, preferably with an external validation cohort.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- External validation and further exploration of fall prediction models based on questionnaires and daily-life trunk accelerometry
- Date Crossref
- 27/09/2022
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Vrije Universiteit Amsterdam pays non établi dans la noticeUniversité ou école supérieure
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Leiden University Medical Center Department of Neurology pays non établi dans la noticeOrganisme public
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UNSW Sydney pays non établi dans la noticeUniversité ou école supérieure
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Neuroscience Research Australia pays non établi dans la noticeStructure de recherche
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Netherlands Institute for Neuroscience pays non établi dans la noticeStructure de recherche
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Fujian Medical University Biomechanics Laboratory pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Behavioural and Movement Sciences Department of Human Movement Sciences pays non établi dans la noticeUniversité ou école supérieure
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University of New South Wales Neuroscience Research Australia pays non établi dans la noticeUniversité ou école supérieure
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School of Population Health pays non établi dans la noticeUniversité ou école supérieure
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Institute of Brain and Behavior Amsterdam pays non établi dans la noticeStructure de recherche
Vrije Universiteit Amsterdam, Department of Neurology — Leiden University Medical Center et UNSW Sydney, avec 7 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.