Abstract: Objective  To analyze the risk factors of Muscle Wasting Syndrome (MWS) in Maintenance Hemodialysis (MHD) patients based on LASSO regression model.  Methods   Subei People's Hospital, Jiangsu Province of 280 MHD patients were selected and divided into normal muscle group and sarcopenia group according to the Asian sarcopenia comprehensive diagnostic criteria. The baseline data of the two groups were compared, and the risk factors of MWS in MHD patients were analyzed by LASSO regression. The Receiver Operating Characteristic (ROC) curve was used to verify the accuracy of the prediction model.  Results  There were 152 patients in the normal muscle group and 128 patients in the sarcopenia group. LASSO regression analysis showed that age (OR 1.164, 95% CI:1.043～1.299, P=0.007), weight after dialysis (OR 0.749, 95% CI:0.610～0.920, P=0.006), upper arm circumference (OR 1.802, 95% CI:1.299～2.500, P＜0.001), leg circumference (OR 2.787, 95% CI:1.463～5.311, P=0.002), muscle mass (OR 0.680, 95% CI:0.532～0.868, P＜0.001), and muscle mass (OR 0.680, 95% CI:0.532～0.868, P=0.002), creatinine (OR 0.456, 95% CI:0.232～0.897, P=0.023) and urea nitrogen (OR 0.162, 95% CI:0.070～0.373, P＜0.001) were risk factors for MWS in MHD patients. ROC Curve showed that the Area Under Curve (AUC) of LASSO regression was 0.713 (95% CI: 0.654～0.773), the sensitivity was 76.60%, the specificity was 64.60%, and the Youden index J=0.412. Conclusions  The LASAS-Logistic regression model can predict the high-risk factors of MWS in MHD 

Key words: LASSO regression analysis, Maintenance hemodialysis, Muscle wasting syndrome