The value of using ultrasound indicators of rectus femoris muscle combined with clinical data to evaluate PEW in MHD patients
10.3969/j.issn.1673-9701.2025.27.005
- VernacularTitle:股直肌超声指标联合临床资料评估MHD患者PEW的价值
- Author:
Dongyan CHENG
1
;
Xinmin GUO
Author Information
1. 汕头大学医学院,广东汕头 515063
- Publication Type:Journal Article
- Keywords:
Ultrasonography;
Rectus femoris muscle;
Protein energy wasting;
Chronic kidney disease;
Maintenance hemodialysis
- From:
China Modern Doctor
2025;63(27):23-27
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the value of combining quantitative indicators of rectus femoris muscle obtained through ultrasound technology with clinical data in identifying protein energy wasting(PEW)in patients with chronic kidney disease(CKD)undergoing maintenance hemodialysis.Methods 90 CKD patients undergoing regular hemodialysis treatment in Guangzhou Red Cross Hospital from November 2023 to August 2024 were selected and divided into experimental group(30 cases with PEW)and control group(60 cases without PEW)according to PEW diagnostic criteria.Clinical indicators and quadriceps ultrasound quantitative data were measured and compared between two groups.Independent predictors of PEW were screened through multivariate Logistic regression analysis.A prediction model was constructed and receiver operating characteristic curve were drawn to evaluate its diagnostic performance.Results Significant differences were observed between experimental group and control group in body mass index(BMI),serum albumin,age,gender,rectus femoris thickness,and cross-sectional area(P＜0.05).Multivariate Logistic regression analysis showed that BMI and rectus femoris thickness were independent factors affecting PEW in CKD patients.A diagnostic model based on these two indicators,Logit(P)=1/[1+e-(10.292-0.378×BMI-2.992×rectus femoris thickness)],demonstrated good diagnostic performance(area under the curve=0.853,95％CI:0.764-0.943,P＜0.05).Conclusion Ultrasound assessment of rectus femoris thickness can objectively reflect the degree of skeletal muscle atrophy in CKD patients,and the prediction model constructed in combination with BMI helps in early identification of PEW and clinical intervention decision-making.
