Construction and evaluation of a risk prediction model for hypoglycemia in colonoscopy patients / 中华护理杂志

ABSTRACT

Objective To analyze the influencing factors of hypoglycemia in patients undergoing colonoscopy and to construct a risk prediction model and evaluate the model.Methods A total of 528 patients who underwent colonoscopy were selected by the convenience sampling method from the gastroenterology department of a tertiary A hospital in Qingdao from March 2022 to August 2022.Their general information,laboratory indicators and operation-related data were collected.Multivariate Logistic regression was used to analyze the risk factors of hypoglycemia in patients with colonoscopy for risk prediction model construction,and its prediction effect was evaluated by drawing a nomogram.Results Hypoglycemia occurred in 66 of 528 patients,with an incidence of 12.50％.The risk factors finally in the risk prediction model in Logistic regression were drinking history,long fasting time after operation,polyethylene glycol(PEG)-electrolyte solutions＞3 L,low quality of bowel preparation.The model passed Hosmer-Lemeshow goodness of fit test x2=10.158(P=0.200).The area under the ROC curve was 0.829,while the cut-off was 0.575,with sensitivity of 92.90％and specificity of 64.60％.Conclusion Patients undergoing colonoscopy have a higher risk of hypoglycemia.Patients with a history of drinking,longer fasting after surgery,more than 3 L of PEG-electrolyte solutions,and low quality of bowel preparation were more likely to develop hypoglycemia.The established risk prediction model has a good effect,providing the reference for screening high-risk group of hypoglycemia and taking preventive and protective measures.