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维持性血液透析患者认知功能变化轨迹及影响因素分析:一项前瞻性纵向研究。

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

作者信息

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

机构信息

School of Nursing, Chengdu Medical College, Chengdu, Sichuan, China.

Nursing Department, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, Sichuan, China.

出版信息

Ren Fail. 2025 Dec;47(1):2489722. doi: 10.1080/0886022X.2025.2489722. Epub 2025 Apr 14.


DOI:10.1080/0886022X.2025.2489722
PMID:40230078
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12001841/
Abstract

OBJECTIVES: To explore the trajectory of cognitive function changes and influencing factors in maintenance hemodialysis (MHD) patients. METHODS: A 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. RESULTS: A 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. CONCLUSIONS: Cognitive 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.

摘要

目的:探讨维持性血液透析(MHD)患者认知功能变化轨迹及影响因素。 方法:采用便利抽样法,选取2023年8月至2024年4月在成都某三级医院的MHD患者。使用一般信息问卷、中文版蒙特利尔认知评估量表(MoCA)、匹兹堡睡眠质量指数(PSQI)、食欲视觉模拟量表(VAS)和家庭关怀指数(APGAR)进行调查。在基线及初次调查后3、6和9个月评估患者的认知功能水平。采用潜在增长模型确定认知功能轨迹的潜在类别,并进行单因素和二元逻辑回归分析以分析影响因素。 结果:共有154例MHD患者完成了整个研究。认知功能变化轨迹分为两个潜在类别:低认知功能 - 快速下降组和高认知功能 - 缓慢下降组。二元逻辑回归结果显示,教育程度、高血压、睡眠质量、食欲和家庭关怀是MHD患者认知功能变化轨迹的影响因素。 结论:MHD患者的认知功能随时间呈总体下降趋势。认知功能变化轨迹可分为两个潜在类别:快速下降组和高认知功能 - 缓慢下降组。医护人员可根据不同患者类型的特点及其影响因素制定有针对性的护理干预方案,以改善认知功能,提高生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e2/12001841/d69353f0f63a/IRNF_A_2489722_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e2/12001841/f6e7abd8618a/IRNF_A_2489722_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e2/12001841/d69353f0f63a/IRNF_A_2489722_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e2/12001841/f6e7abd8618a/IRNF_A_2489722_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10e2/12001841/d69353f0f63a/IRNF_A_2489722_F0002_C.jpg

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本文引用的文献

[1]
Examining Specific Theory-of-Mind Aspects in Amnestic and Non-Amnestic Mild Cognitive Impairment: Their Relationships with Sleep Duration and Cognitive Planning.

Brain Sci. 2025-1-10

[2]
Addressing cognitive impairment in peritoneal dialysis: a systematic review and meta-analysis of prevalence, risk factors, and outcomes.

Clin Kidney J. 2024-10-15

[3]
A study of latent profile analysis of empathic competence and factors influencing it in nursing interns: a multicenter cross-sectional study.

Front Public Health. 2024

[4]
Association of Family Support With Lower Modifiable Risk Factors for Dementia Among Cognitively Impaired Older Adults.

Am J Geriatr Psychiatry. 2024-10

[5]
Identifying Internet addiction profiles among adolescents using latent profile analysis: Relations to aggression, depression, and anxiety.

J Affect Disord. 2024-8-15

[6]
The Factors Influencing Chronic Kidney Disease Incidence: Database from the Korean National Health Insurance Sharing Service (NHISS).

J Clin Med. 2024-4-9

[7]
Association between cognitive function and skeletal muscle in patients undergoing maintenance hemodialysis.

Front Endocrinol (Lausanne). 2024

[8]
Perceptions of the Role of Living Alone in Providing Services to Patients With Cognitive Impairment.

JAMA Netw Open. 2023-8-1

[9]
Association between Cognitive Impairment and Malnutrition in Hemodialysis Patients: Two Sides of the Same Coin.

Nutrients. 2023-2-4

[10]
Cognitive Dysfunction and Its Risk Factors in Patients Undergoing Maintenance Hemodialysis.

Neuropsychiatr Dis Treat. 2022-11-24

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