Evidence map›Paper›PMID 40691630›Full record

ArticleBMC nutrition2025

Assessment of malnutrition risk and analysis of influencing factors in patients with chronic kidney disease: A cross-sectional survey.

Weiwei Yu, Xin Zhang, Min Ni, Ting Chen

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Article in BMC nutrition, 2025. 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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5 · Who and what money

Authors and funding

4 authors.

Weiwei YuDepartment of Nephrology, Zhongda Hospital, Southeast University, Nanjing, 210009, Jiangsu, China. zdyyhxkyww@163.com.
Xin ZhangDepartment of Nephrology, Zhongda Hospital, Southeast University, Nanjing, 210009, Jiangsu, China.
Min NiDepartment of Nephrology, Zhongda Hospital, Southeast University, Nanjing, 210009, Jiangsu, China.
Ting ChenDepartment of Nephrology, Zhongda Hospital, Southeast University, Nanjing, 210009, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the status of malnutrition risk in patients with chronic kidney disease (CKD) using objective nutritional indices and to analyze the influencing factors.

methods1277 patients with CKD admitted to the Department of Nephrology at a Class A hospital in Nanjing from 2020 to 2022, were selected for this study. The Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) were used to evaluate the risk of malnutrition. Logistic regression analysis identified associated risk factors.

resultsAmong the 1277 CKD patients, malnutrition risk was identified in 89.1% by PNI and 87.7% by CONUT, with moderate consistency between the two methods (0.368). Patients at moderate to high malnutrition risk experienced longer hospital stays. Across both assessment tools, higher CKD stage (≥ 4), older age, elevated blood urea nitrogen (BUN) and creatinine, and lower body mass index (BMI), hemoglobin (Hb), and lipid levels were associated with greater risk. Logistic regression analysis identified CKD stage, age, Hb, and BUN as risk factors in the PNI model, while age, BMI, and BUN were significant in the CONUT assessment.

conclusionCKD Patients face a high risk of malnutrition, emphasizing the need for regular screening and assessment. Understanding and addressing the identified risk factors through targeted interventions is crucial for improving patient outcomes.

Indexed as

Chronic kidney diseaseControlling nutritional statusMalnutritionPrognostic nutritional indexRisk assessment

Identifiers

PMID40691630
PMCPMC12281736

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LicenceCC BY-NC-ND
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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.