Observational studyAmerican journal of nephrology2020
Mobility Impairment in Patients New to Dialysis.
Observational study in American journal of nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Influential factors of benefit finding in hemodialysis patients: a qualitative study using the social-ecological model.BMC nephrology · 2026Article
- Walking autonomy in chronic dialysis patients: insights from a nationwide registry and focus group analysis.Clinical kidney journal · 2025Article
- Cognitive, functional, and social disparities in patients receiving dialysis: a multi-site survey.Frontiers in health services · 2025Article
- Physical Function and Mortality in Older Adults with Chronic Kidney Disease.Clinical journal of the American Society of Nephrology : CJASN · 2024Article
- Plasma metabolites and physical function in patients undergoing hemodialysis.Scientific reports · 2024Article
- Narrative Review: Clinical Implications and Assessment of Frailty in Patients With Advanced CKD.Kidney international reports · 2024Review
- Ripple Effects: CKD and Physical Function.Kidney medicine · 2024Article
- Prevalence of Impaired Physical Mobility in Dialysis Patients: A Single-Centre Cross-Sectional Study.Journal of clinical medicine · 2023Article
- Use of frailty assessment instruments in nephrology populations: a scoping review.BMC geriatrics · 2023Article
- How is exercise being prescribed for patients on hemodialysis? A scoping review.Journal of nephrology · 2023Article
- Frailty, sarcopenia and diabetic kidney disease: where do we stand?International urology and nephrology · 2023Review
- Skeletal Muscle Complications in Chronic Kidney Disease.Current osteoporosis reports · 2022Review
- Outcomes of Elderly Patients With Acute Myocardial Infarction and Heart Failure Who Undergo Percutaneous Coronary Intervention.Circulation reports · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundImpaired mobility is associated with functional dependence, frailty, and mortality in prevalent patients undergoing dialysis. We investigated risk factors for mobility impairment, (poor gait speed) in patients incident to dialysis, and changes in gait speed over time in a 2-year longitudinal study.
methodsOne hundred eighty-three patients enrolled within 6 months of dialysis initiation were followed up 6, 12, and 24 months later. Grip strength, health-related quality of life, and comorbidities were assessed at baseline. Outcomes were (a) baseline gait speed and (b) change in gait speed over time. Gait speed was assessed by 4-meter walk. Multivariate linear regression was used to identify risk factors for low gait speed at baseline. For longitudinal analyses, linear mixed effects modeling with gait speed modeled over time was used as the outcome.
resultsParticipants were 54.7 ± 12.8 years old, 52.5% men, 73.9% black with mean dialysis vintage of 100.1 ± 46.9 days and median gait speed 0.78 (0.64-0.094) m/s. Lower health utility and grip strength, diabetic nephropathy, and walking aids were associated with lower baseline gait speed. Loss of 0.1 m/s gait speed occurred in 24% of subjects at 1 year. In multivariate mixed effects models, only age, walking aid use, lower health utility, and lower handgrip strength were significantly associated with gait speed loss.
conclusionsIn our cohort of incident dialysis patients, overall gait speed is very low and 54.2% of the subjects continue to lose gait speed over 2 years. Older age, lower handgrip strength, and quality of life are risk factors for slowness. Patients at highest risk of poor gait speed can be identified at dialysis initiation to allow targeted implementation of therapeutic options.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.