Open AccessMachine learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models
Author(s) -
Jian Li,
Qi-Qi Wu,
Rong Zhu,
Xing Lv,
Wenqiang Wang,
Jinlin Wang,
Bin-Yong Liang,
Zhiyong Huang,
Erlei Zhang
Publication year - 2022
Publication title -
world journal of gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.427
H-Index - 155
eISSN - 2219-2840
pISSN - 1007-9327
DOI - 10.3748/wjg.v28.i32.4681
Subject(s) - medicine , receiver operating characteristic , splenectomy , portal vein thrombosis , confidence interval , area under the curve , odds ratio , thrombosis , cohort , portal hypertension , logistic regression , surgery , gastroenterology , cirrhosis , spleen
For patients with portal hypertension (PH), portal vein thrombosis (PVT) is a fatal complication after splenectomy. Postoperative platelet elevation is considered the foremost reason for PVT. However, the value of postoperative platelet elevation rate (PPER) in predicting PVT has never been studied.