Evidence map›Paper›PMID 39538169›Full record

ArticleBMC geriatrics2024

Gait abnormalities and longitudinal fall risk in older patients with end-stage kidney disease and sarcopenia.

Chien-Yao Sun, Lin-Chieh Hsu, Chien-Chou Su, Chung-Yi Li, Chia-Ter Chao, Yu-Tzu Chang, Chia-Ming Chang, Wen-Fong Wang, Wei-Chih Lien

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
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  6. Small vessel disease increases risk of poor outcome through stroke and dementia.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chien-Yao Sun *Department of Geriatric and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Lin-Chieh Hsu *Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chien-Chou SuClinical Innovation and Research Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chung-Yi LiDepartment of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chia-Ter ChaoDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Yu-Tzu ChangDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chia-Ming ChangDepartment of Geriatric and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Wen-Fong WangDepartment of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan. wwf@yuntech.edu.tw.
Wei-Chih LienDepartment of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan. lwclwhab@ms8.hinet.net.

Funding

Ministry of Education PMN1120522National Cheng Kung University Hospital NCKUH-11102063National Cheng Kung University Hospital NCKUH-11202063National Health Research Institutes NHRI-12A1-CG-CO-04-2225-1National Science and Technology Council NSTC110-2314-B-006-067National Science and Technology Council NSTC111-2314-B-006-064-MY3
6 · The paper itself

Abstract

backgroundSarcopenia, gait disturbance, and intradialytic hypotension are among the various factors that contribute to fall risk. This study aimed to investigate the relationship between risk of sarcopenia, hemodialysis (HD) session, and long-term fall risk in older end-stage kidney disease (ESKD) patients by analyzing their spatiotemporal gait characteristics.

methodsWe recruited 22 non-demented patients aged ≥ 65 years who were undergoing maintenance HD. Participants were divided into two groups based on their SARC-F score (< 4 and ≥ 4) to identify those with higher and lower risk of sarcopenia. Demographics, comorbidities, and renal parameters were compared between groups. Inertial measurement unit-based technology equipped with triaxial accelerometry and gyroscope was used to evaluate gait characteristics. The gait task was assessed both before and after dialysis using the Timed-Up and Go (TUG) test and a 10-meter walking test at a regular pace. Essential gait parameters were thoroughly analyzed, including gait speed, stride time, stride length, double-support phase, stability, and symmetry. We investigated the interaction between the dialysis procedure and gait components. Outcome of interest was any occurrence of injurious fall during follow-up period. Logistic regression models were employed to examine the relationship between baseline gait markers and long-term fall risk.

resultsThe SARC-F ≥ 4 group showed various gait abnormalities, including longer TUG time, slower gait speed, longer stride time, shorter stride length, and longer double support time compared to counterpart (SARC-F < 4). After HD sessions, the SARC-F ≥ 4 group showed a 2.0-second decrease in TUG task time, an 8.0 cm/s increase in gait speed, an 11.6% lower stride time, and a 2.4% increase in gait symmetry with significant group-time interactions. Shorter stride length and longer double support time were associated with injurious falls during the two-year follow-up.

conclusionOur study demonstrated the utility of triaxial accelerometers in extracting gait characteristics in older HD patients. High-risk sarcopenia (SARC-F ≥ 4) was associated with various gait abnormalities, some of which partially improved after HD sessions. These gait abnormalities were predictive of future falls, highlighting their prognostic significance.

Indexed as

Accidental FallsGaitKidney Failure, ChronicRenal DialysisSarcopeniaAccelerometryAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleRisk FactorsFallHemodialysisOlderSarcopeniaTriaxial accelerometry

Identifiers

PMID39538169
PMCPMC11559052

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Registered trials

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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.