Nomogram to Predict Intensive Care Following Gastrectomy for Gastric Cancer: A Useful Clinical Tool to Guide the Decision-Making of Intensive Care Unit Admission

• DOI: 10.3389/fonc.2021.641124
• Publication Date: 2022-01-11T05:12:52Z
• Authors: Tao Pan; Xiao-long Chen; Kai Liu; Bo-qiang Peng; Wei-han Zhang; Meng-hua Yan; Rui Ge; Lin-yong Zhao; Kun Yang; Xin-zu Chen; Jian-kun Hu
• Keywords: Nomogram; Lasso

We aimed to generate and validate a nomogram predict patients most likely require intensive care unit (ICU) admission following gastric cancer surgery improve postoperative outcomes optimize the allocation of medical resources.We retrospectively analyzed 3,468 who underwent gastrectomy for from January 2009 June 2018. Here, 70.0% were randomly assigned training cohort, 30.0% validation cohort. Least absolute shrinkage selection operator (LASSO) method was performed screen out risk factors ICU-specific using Then, based on results LASSO regression analysis, multivariable logistic analysis establish prediction nomogram. The calibration discrimination evaluated in cohort validated Finally, clinical usefulness determined by decision curve (DCA).Age, American Society Anesthesiologists (ASA) score, chronic pulmonary disease, heart hypertension, combined organ resection, preoperative and/or intraoperative blood transfusions selected model. concordance index (C-index) model 0.843 0.831 curves suggested great agreement both cohorts. DCA showed that clinically useful.Age, ASA identified as after surgery. A friendly generated identify those care.