Prediction Model of Postoperative Severe Pleural Effusion

This model was constructed based on the clinical characteristics including patient-,tumor-,and surgery-related variables, which can be applied to predict the probability of severe pleural effusion following hepatectomy in patients with hepatocellular carcinoma.

This prediction model is known as a nomogram, and the data used to build this model is derived from a Chinese multicenter study for patients who underwent hepatectomy for hepatocellular carcinoma. Using seven risk factors including American Society of Anesthesiologists score (ASA), portal hypertension, intraoperative blood transfusion, operative procedure, largest tumor diameter, hepatectomy involving segment 7/8 and operation time, the result can be obtained by entering the required information. Through this calculator, clinicians can develop individualized treatment plans for patients with hepatocellular carcinoma and effectively reduce the incidence of severe posthepatectomy pleural effusion.