Analyse of influencing factors and predictive model of fatigue after endoscopic submucosal dissection in patients with early gastric cancer
Objective To explore the risk factors of postoperative fatigue(POF)after endoscopic submucosal dis-section(ESD)in patients with early gastric cancer,and to establish and verify the risk prediction model of POF of early gastric cancer.Methods A total of 232 patients with early gastric cancer in our hospital from January 2020 to December 2022 were selected by convenience sampling method.The general information questionnaire,Chinese ver-sion of Multidimensional Fatigue Inventory,Amsterdam Preoperative Anxiety and Information Need Scale,Pitts-burgh Sleep Quality Scale,and Eysenck Personality Questionnaire Short Scale were used to collect relevant data.The influencing factors of postoperative fatigue were analyzed by single factor analysis and binary logistic regression,and the nomogram prediction model was established.The calibration curve was used to verify the prediction effect of the model.Results Age,gender,sleep disorder,area of lesion resection,temperament type,postoperative pain,and gastrointestinal dysfunction were tested as independent risk factors of POF in patients with early gastric cancer,and the nomograph model for POF in patients with early gastric cancer was established based on this model,which was verified to have good accuracy(H-L test:x2=2.822,P=0.945)and discrimination(AUC=0.0909,95％CI was 0.937-0.980,P＜0.001),the maximum Youden index was 0.648,the sensitivity was 0.832,the specificity was 0.813,the cut-off value was 0.319,and the calibration curve was a straight line with slope approximately 1.Conclu-sion The model prediction effect is good,which can be used as a reference for medical staff to screen high-risk groups of postoperative fatigue in early gastric cancer and take preventive measures in time.
early gastric cancergastric endoscopic submucosal dissectionpostoperative fatiguerisk factorsprediction modelnursing
万方数据
维普
