Evidence map›Paper›PMID 40230078›Full record

ArticleRenal failure2025

Analysis of the trajectory of cognitive function changes and influencing factors in maintenance hemodialysis patients: a prospective longitudinal study.

Wenbin Xu, Xiaolian Long, Yuhe Xiang, Aiyin Yu, Ting Luo, Yuhang Chen, Yan Chen, Qian Yang

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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 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wenbin XuSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.
Xiaolian LongNursing Department, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Yuhe XiangSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.
Aiyin YuNephrology, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.
Ting LuoSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.
Yuhang ChenSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.
Yan ChenNursing Department, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Qian YangSchool of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the trajectory of cognitive function changes and influencing factors in maintenance hemodialysis (MHD) patients.

methodsA convenience sampling method was used to select MHD patients from a tertiary hospital in Chengdu from August 2023 to April 2024. The general information questionnaire, Chinese version of the Montreal Cognitive Assessment (MoCA), Pittsburgh Sleep Quality Index (PSQI), Appetite Visual Analogue Scale (VAS), and Family Care Index (APGAR) were used for the investigation. Patients' cognitive function levels were assessed at baseline and at 3, 6, and 9 months after the initial survey. A latent growth model was used to identify potential categories of cognitive function trajectory, and univariate and binary logistic regression analyses were performed to analyze the influencing factors.

resultsA total of 154 MHD patients completed the entire study. The trajectory of cognitive function changes was divided into two potential categories: low cognitive function-fast decline group and high cognitive function-slow decline group. Binary logistic regression results showed that educational level, hypertension, sleep quality, appetite, and family care were influencing factors for the trajectory of cognitive function changes in MHD patients.

conclusionsCognitive function in MHD patients showed an overall declining trend over time. The cognitive function change trajectory could be divided into two potential categories: fast decline group and high cognitive function-slow decline group. Healthcare professionals can develop targeted nursing intervention programs based on the characteristics of different patient types and their influencing factors to improve cognitive function and enhance quality of life.

Indexed as

CognitionCognitive DysfunctionKidney Failure, ChronicRenal DialysisAdultAgedAppetiteChinaEducational StatusFemaleHumansHypertensionLogistic ModelsLongitudinal StudiesMaleMiddle Agedcognitive functioninfluencing factorslatent growth modelMaintenance hemodialysis patientstrajectory of change

Identifiers

PMID40230078
PMCPMC12001841

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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.