ArticleClinical and experimental nephrology2018
Development and validation of a Fall Risk Assessment Index for dialysis patients.
Article in Clinical and experimental nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Prevalence and risk factors of falls in people on hemodialysis: a systematic review and meta-analysis.Renal failure · 2025Pooled it
- Prediction of the fall risk at home in maintenance-hemodialysis patients.Renal failure · 2026Article
- Risk Factors for Falls in Patients on Hemodialysis: A 12-Month Prospective Study.Hemodialysis international. International Symposium on Home Hemodialysis · 2026Article
- Ten tips on how to prevent falls in dialysis patients.Clinical kidney journal · 2026Review
- Construction and validation of a fall risk prediction model in elderly maintenance hemodialysis patients: a multicenter prospective cohort study.Renal failure · 2025Article
- Low muscle strength and physical function contribute to falls in hemodialysis patients, but not muscle mass.Clinical and experimental nephrology · 2024Article
- Relationship between Nutrition-Related Problems and Falls in Hemodialysis Patients: A Narrative Review.Nutrients · 2022Review
- The importance of physical performance in the assessment of patients on haemodialysis: A survival analysis.PloS one · 2022Article
- Relationship between malnutrition and possible sarcopenia in the AWGS 2019 consensus affecting mortality in hemodialysis patients: a prospective cohort study.BMC nephrology · 2021Observational
- The relative importance of frailty, physical and cardiovascular function as exercise-modifiable predictors of falls in haemodialysis patients: a prospective cohort study.BMC nephrology · 2020Observational
- Associations between the measures of physical function, risk of falls and the quality of life in haemodialysis patients: a cross-sectional study.BMC nephrology · 2020Article
- Markers of protein-energy wasting and physical performance in haemodialysis patients: A cross-sectional study.PloS one · 2020Article
- Influence of medications on fall risk assessment in maintenance hemodialysis patients: A cross-sectional study.International journal of critical illness and injury scienceArticle
- Fall risk assessment scale for hemodialysis patients (ERQUE_HD): development and validation.Jornal brasileiro de nefrologiaArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDialysis patients often have low physical performance due to uremic sarcopenia, protein energy wasting (PEW), and incidence intradialytic hypotension (IDH), which are indicated as risk factors for falling. The objective of this study was to develop a symptom-encompassing evaluation form to predict falls with high sensitivity for dialysis patients.
methodsA total of 251 patients who had been receiving maintenance hemodialysis therapy three times a week were enrolled in the study. Demographics, malnutrition and inflammatory status, dialytic therapeutic management situation, physical function and performance, and inquiries about falling were recorded. The Cox proportional hazards analysis evaluated the impact of falls. Calculated hazard ratios were converted to weighted scores, using approximate multiples of 0.5 and an evaluation form was created, which we called the Dialysis Fall Risk Index (DFRI). Kaplan-Meier survival analyses with the log-rank test and the Cox proportional hazard analysis were performed to evaluate the validity of the DFRI.
resultsThe DFRI consisted of seven items and a total of 12 points. The predictive validity of DFRI included hazard ratios for quartile 3 and 4 of 2.65 and 3.84, respectively, compared with quartile 1 as a reference point. The cut-off point of the DFRI showed the highest sensitivity and specificity among other screening indices. DISCUSSION: The present study included the development of a new evaluation form that encompasses symptoms of end-stage kidney disease to predict falls in dialysis patients.
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