External validation of a prediction model of inadequate bowel preparation in Xinjiang
Objective To externally validate the established predictive model for inadequate bowel preparation in Xinjiang,and to ascertain whether the predictive model can be utilized in clinical practice.Methods A total of 1 221 cases admitted to the Department of Gastroenterology at the People's Hospital of Xinjiang Uygur Autonomous Region from Jan.2022 to Jun.2022 were collected.Cases were categorized based on the Boston Bowel Preparation Scale(BBPS)criteria:BBPS scores≥6 were considered well-prepared,while BBPS scores≤5 or any section of the bowel rated<2 were considered under-prepared.Among them,990 cases were classified as well-prepared bowel and 231 cases as un-der-prepared bowel.The established prediction model was applied to predict the risk of under-prepared bowel based on patient characteristics such as gender,age,ethnicity,history of colonoscopy,constipation,alcohol consumption,and other indicators.Differences between predicted and observed results were compared.The discrimination and calibration of the prediction models were assessed using ROC curves and GiViTI calibration curve bands,respectively.Results The external validation of the prediction model demonstrated an area under the ROC curve of 0.900(95%CI:0.762-0.902),indicating its ability to differentiate patients with different bowel preparation outcomes effectively.The 95%CI region of the GiViTI calibration curve band did not intersect the 45° diagonal parity(P= 0.461),suggesting good calibration where the predicted probability closely matched the observed probability.The prediction model was vis-ually presented using a column line plot.Conclusion The high accuracy of the model in predicting the probability of inadequate bowel preparation risk contributes to enhancing the early identification and screening of high-risk patients.
NETL
NSTL
万方数据
