Construction of a risk prediction model for sarcopenic obesity in patients with metabolism related fatty liver disease
Objective:To explore the risk factors for the development of sarcopenic obesity(SO)in patients with Metabolic Associated Fatty Liver Disease(MAFLD)and to construct a predictive model.Methods:The clinical data of 410 patients with MAFLD admitted to our hospital from June 2018 to June 2023 were retrospectively selected,and the patients with MAFLD were divided into SO group(32 cases)and non-SO group(378 cases)according to the detection of SO.Multivariate Logistic regression was used to analyze the risk factors for developing SO in MAFLD patients and to construct a prediction model.The performance of the prediction model was verified by Hosmer-Lemeshow test and receiver operating characteristic(ROC)curve.Results:SO group was older than non-SO group(P＜0.05),male,diabetes,Child-Pugh grade C,exercise frequency less than 3 times/week ratio were higher than non-SO group(P＜0.05),BMI,HbA1C,HOMA-IR,hs-CRP were higher than non-SO group(P＜0.05).Albumin was lower than that in non-SO group(P＜0.05).Higher age,hs-CRP,HOMA-IR and Child-Pugh grade C were the risk factors for MAFLD patients to complicated with SO(P＜0.05).The area under the curve of SO in patients with pre-MAFLD predicted by the model was 0.829(95%CI=0.783～0.872).Conclusion:Age,chronic inflammation,insulin resistance and elevated liver function are risk factors for SO in patients with MAFLD.The prediction model based on the above risk factors has high efficacy in predicting SO in patients with MAFLD.
Metabolic associated fatty liver diseasesarcopenic obesityrisk factorsprediction model
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NSTL
万方数据
