Abstract:Objective To explore the individualized prediction of acute calculous cholecystitis (ACC) complicated with abnormal liver function and the risk factors by establishing risk nomogram model. Methods A retrospective study was performed on 200 ACC patients treated in Lu'an Hospital of Traditional Chinese Medicine from February 2018 to June 2020. The patients were divided into liver function abnormality group (n=54) and ACC group (n=146) according to whether they were complicated with abnormal liver function. Logistic regression analysis was used to screen the risk factors of ACC complicated with abnormal liver function, and the corresponding risk nomogram model was established.Results Out of 200 ACC patients, 54 (27.00%) had liver function abnormalities. There were statistical differences in age, malnutrition, BMI, smoking history, drinking history and coexisting diabetes mellitus between two groups (P<0.05). Age over 60 years old, smoking and drinking history, malnutrition, BMI≥24 and coexisting diabetes mellitus were the independent risk factors for liver dysfunction in ACC patients (P<0.05). The established risk nomogram model for predicting ACC combined with abnormal liver function was almost equal to the real situation by measurement (adjusted C-index=0.803, 95%CI：0.767-0.840）. The area under the ROC curve (AUC) of the model was 0.762, and the decision curve showed that nomogram model had a higher net benefit in predicting the risk of ACC combined with abnormal liver function when the threshold probability was in the range of 3% to 75%. Conclusion Old age, smoking history, drinking history, malnutrition, high BMI and diabetes are the independent risk factors of ACC complicated with abnormal liver function, and the nomogram based on the above risk factors is helpful to predict the risk of ACC complicated with abnormal liver function.