Study on influencing factors and early warning model construction of adverse reactions during painless digestive endoscopy

WANG Long-yan; MA Cui; NIE Yan

doi:10.16048/j.issn.2095-5561.2024.04.06

Abstract：Objective To investigate the influencing factors of adverse reactions in patients undergoing painless digestive endoscopy,and establish an early warning model to predict the occurrence of adverse reactions.Methods A total of 126 patients who underwent painless digestive endoscopy at the Gastroenterology Endoscopy Center of the First Affiliated Hospital of Air Force Military Medical University from June 2021 to November 2022 were selected as the study objects,and were divided into adverse reaction group(n=37)and non-adverse reaction group(n=289)according to the occurrence of adverse reactions.General data of the two groups were collected and compared.Logistic regression model was used to analyze the related factors affecting adverse reactions,and an exponential equation prediction model was constructed.The receiver operating characteristic(ROC)curve model was used to evaluate the efficacy of the prediction model.Results Among 326 patients who underwent painless digestive endoscopy,the incidence of adversereactions was 11.3%(37/326).Logistic regression analysis showed that age＞75 years old,body mass index(BMI)＞24.0 kg/m2,history of chronic obstructive pulmonary disease(COPD)and history of snoring were all influential factors for adverse reactions during painless digestive endoscopy(P＜0.05).According to the Logistic regression coefficient,an exponential equation was established and the ROC curve was drawn.The exponential equation predicted that the area under the curve of adverse reactions during painless digestive endoscopy was 0.787,the sensitivity was 75.70%,and the specificity was 69.70%.Conclusion The occurrence of adverse reactions during painless digestive endoscopy is closely related to the patient's age,BMI,COPD history and snoring history.The prediction model constructed according to the above indicators is of great significance for evaluating surgical risk and guiding clinical decision-making.