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慢性肾脏病患者营养不良风险评估及影响因素分析:一项横断面调查

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

作者信息

Yu Weiwei, Zhang Xin, Ni Min, Chen Ting

机构信息

Department of Nephrology, Zhongda Hospital, Southeast University, Nanjing, 210009, Jiangsu, China.

出版信息

BMC Nutr. 2025 Jul 21;11(1):143. doi: 10.1186/s40795-025-01128-9.

Abstract

OBJECTIVE

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

METHODS

1277 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.

RESULTS

Among 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.

CONCLUSION

CKD 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.

摘要

目的

使用客观营养指标评估慢性肾脏病(CKD)患者的营养不良风险状况,并分析影响因素。

方法

选取2020年至2022年在南京某甲级医院肾内科住院的1277例CKD患者进行本研究。采用预后营养指数(PNI)和控制营养状况(CONUT)评估营养不良风险。采用Logistic回归分析确定相关危险因素。

结果

在1277例CKD患者中,PNI评估的营养不良风险为89.1%,CONUT评估的为87.7%,两种方法的一致性中等(0.368)。中重度营养不良风险患者的住院时间更长。在两种评估工具中,较高的CKD分期(≥4期)、年龄较大、血尿素氮(BUN)和肌酐升高,以及较低的体重指数(BMI)、血红蛋白(Hb)和血脂水平与更高的风险相关。Logistic回归分析确定CKD分期、年龄、Hb和BUN为PNI模型中的危险因素,而年龄、BMI和BUN在CONUT评估中具有显著性。

结论

CKD患者面临较高的营养不良风险,强调需要定期筛查和评估。通过有针对性的干预措施了解并解决已确定的危险因素对于改善患者预后至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c2/12281736/93fe3822c6b7/40795_2025_1128_Fig1_HTML.jpg

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