Evidence map›Paper›PMID 39398565›Full record

ArticleAmerican journal of translational research2024

Correlation between cognitive impairment and body composition indicators in patients with chronic kidney disease after hemodialysis.

Dan Yuan, Zhenxing Sun, Jingjing Zhou, Xiaoqi Wang, Zhongxin Li

Abstract read
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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dan YuanDepartment of Nephrology, Beijing Luhe Hospital, Capital Medical University 82 Xinhua South Road, Tongzhou District, Beijing 101100, China.
Zhenxing SunDepartment of Neurosurgery, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University 168 Litang Road, Changping District, Beijing 102218, China.
Jingjing ZhouDepartment of Nephrology, Beijing Luhe Hospital, Capital Medical University 82 Xinhua South Road, Tongzhou District, Beijing 101100, China.
Xiaoqi WangDepartment of Nephrology, Beijing Luhe Hospital, Capital Medical University 82 Xinhua South Road, Tongzhou District, Beijing 101100, China.
Zhongxin LiDepartment of Nephrology, Beijing Luhe Hospital, Capital Medical University 82 Xinhua South Road, Tongzhou District, Beijing 101100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the relationship between cognitive impairment and body composition indicators in chronic kidney disease (CKD) patients post-hemodialysis.

methodsThis retrospective study included 110 CKD patients admitted to Beijing Luhe Hospital, Capital Medical University between January 2019 and January 2023. General clinical data and body composition indicators were compared between patients with and without cognitive impairment. Multiple logistic regression and ROC curve analysis were used to identify influencing factors and to develop a predictive model.

resultsCognitive impairment occurred in 50% of the patients post-hemodialysis. No significant differences were found in demographics, disease duration, comorbidities, or hemodialysis duration between the groups (all P > 0.05). However, significant differences were observed in body mass index (BMI) (P < 0.001), lean body mass index (LTI) (P = 0.007), fat tissue index (FTI) (P = 0.024), and total body water (TBW) (P < 0.001). Multiple logistic regression identified TBW (OR 4.900, 95% CI 3.062-7.511, P < 0.001), the TBW/extracellular water (ECW) ratio (OR 7.244, 95% CI 5.092-8.7613, P = 0.016), and the ECW/body cell mass (BCM) ratio (OR 6.720, 95% CI 4.564-8.692, P = 0.030) as independent risk factors for cognitive impairment post-hemodialysis. ROC analysis confirmed their predictive capacity, with AUC values of 0.840, 0.840, and 0.850 respectively. A predictive model incorporating these indicators was developed, showing good calibration (Hosmer-Lemeshow test, P = 0.912) and discrimination (C-index 0.974, 95% CI 0.952-0.997).

conclusionTotal body water, the TBW/ECW ratio, and the ECW/BCM ratio are independently associated with cognitive impairment in CKD patients post-hemodialysis. Body composition analysis serves as a valuable tool for predicting cognitive impairment in this population, guiding clinicians in assessing cognitive function and planning interventions for these patients.

Indexed as

body composition analysisChronic kidney diseasecognitive impairmenthemodialysisprediction model

Identifiers

PMID39398565
PMCPMC11470360

What Socratic holds

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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 Socratic graph.