ArticleRenal failure2025
Construction and validation of a fall risk prediction model in elderly maintenance hemodialysis patients: a multicenter prospective cohort study.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and risk factors of falls in people on hemodialysis: a systematic review and meta-analysis.Renal failure · 2025Pooled it
- Ten tips to reduce fracture risk by non-pharmacologic interventions in CKD-associated osteoporosis.Clinical kidney journal · 2026Review
- Diagnostic accuracy of image-based deep learning for glaucomatous optic neuropathy detection: a systematic review and meta-analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Latent profiles of social connectedness and associated factors in maintenance hemodialysis patients.Scientific reports · 2026Article
- Interpretable machine learning-based predictive model for fall risk in older adults receiving maintenance hemodialysis.Frontiers in medicine · 2026Article
- Factors Influencing eHealth Literacy in Maintenance Hemodialysis and Its Relationship with Emotional Status and Quality of Life.Patient preference and adherence · 2026Article
- Latent profiles of falls self-awareness and associated factors in older maintenance hemodialysis patients.Scientific reports · 2025Article
- Multifactorial predictors of falls in older adults: a decade of data from the National Health and Aging Trends Study.BMC geriatrics · 2025Article
- Development and Validation of a Dynamic Online Nomogram for Predicting Inpatient Fall Risk: A Cohort Study.Journal of multidisciplinary healthcare · 2025Article
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Authors and funding
7 authors.
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Abstract
purposeTo analyze the risk factors for falls in elderly maintenance hemodialysis patients, construct a nomogram prediction model and validate the application.
backgroundElderly maintenance hemodialysis patients face a high risk of falls, and there are fewer and less effective fall-specific assessment tools.
methodA total of 871 elderly hemodialysis patients from 9 hospitals in Chengdu City from October 2023 to December 2024 were selected as the study objects. Baseline characteristics and fall outcomes of patients in the fall group and non-fall group were recorded and compared through 6-month follow-up. Multivariable logistic regression analysis was employed to identify independent risk factors, and construct the nomogram prediction model and complete the internal verification of the model. 218 elderly maintenance hemodialysis patients from three other hospitals in Chengdu City were selected for a 6-month follow-up of falls from January to February 2024 to complete the external validation of the model.
resultThe incidence of falls in elderly maintenance hemodialysis patients was 31.96%, and logistic regression analysis showed that age, sex, visual impairment, intradialytic hypotension, cognitive impairment and depression were independent risk factors for falls. Both internal and external validation of the model demonstrated area under the curve greater than 0.80. Furthermore, calibration plots, the Hosmer-Lemeshow test, and clinical decision curves all demonstrated that the model had good calibration and clinical utility.
conclusionThe nomogram constructed based on the above risk factors can provide scientific basis and practical tools for early clinical identification of high-risk groups of falls.
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