Evidence map›Paper›PMID 40099298›Full record

ArticleFrontiers in nephrology2025

The value of the phase angle of bioelectrical impedance analysis to predict malnutrition in hemodialysis patients.

Qingxuan Xiao, Na Xie, Xinyang Xiang, Ting Cao, Yingye Xie, Xiang Liang, Xiaoyan Su

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Article in Frontiers in nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Qingxuan Xiao *Department of Nephrology, DongGuan Tungwah Hospital, Dongguan, China.
Na Xie *Department of Nephrology, DongGuan Tungwah Hospital, Dongguan, China.
Xinyang XiangDepartment of Nephrology, DongGuan Tungwah Hospital, Dongguan, China.
Ting CaoDepartment of Nephrology, DongGuan Tungwah Hospital, Dongguan, China.
Yingye XieDepartment of Nephrology, DongGuan Tungwah Hospital, Dongguan, China.
Xiang LiangDepartment of Nephrology, DongGuan Tungwah Hospital, Dongguan, China.
Xiaoyan SuDepartment of Nephrology, DongGuan Tungwah Hospital, Dongguan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the validity of bioelectrical impedance analysis (BIA)-derived phase angle (PhA) as a predictor of malnutrition in maintenance hemodialysis (MHD) patients. Methods: A single-center, cross-sectional study of 126 MHD patients was conducted. A diagnosis of malnutrition was based on the 7-point Subjective Global Assessment (7-p-SGA) criteria. A Bioelectrical Impedance Analyzer was used to determine the PhA, fat mass (FM), muscle mass, and extracellular water/total body water (ECW/TBW) ratio. Biochemical indices and anthropometric measurements were also assessed. Using 7-p-SGA criteria, the patients were categorized into two groups: well-nourished and malnourished. General patient characteristics and the PhA values were compared between the two groups. A correlation analysis examined the relationship between PhA and the nutritional index. Logistic regression models and receiver operating characteristic curve analyses were used to identify independent factors for predicting malnutrition and determining their respective cutoff values. Results: The malnourished group had a significantly lower PhA than the well-nourished group (5.19° (5.81°, 4.09°) vs 6.13° (6.80°, 5.49°), Conclusion: PhA is a straightforward and reliable predictor of malnutrition in MHD patients, with an optimal cut-off value of 5.78° identified for diagnosing this condition.

Indexed as

7-point-SGAbioelectrical impedance analysismaintenance hemodialysismalnutritionphase angle

Identifiers

PMID40099298
PMCPMC11911513

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