结直肠息肉切除术后患者发生低血糖的风险预测模型建立与验证OA
Establishment and Validation of a Risk Prediction Model for Hypoglycemia in Patients After Colorectal Polyp Resection
目的:构建结直肠息肉切除术后患者发生低血糖风险预测模型并进行验证.方法:前瞻性选择 2024 年 6 月—2025 年4 月广州市中西医结合医院消化科收治的 400 例结直肠息肉切除术患者为研究对象,以 3:1 比例将所有患者分为训练集(n=300)与验证集(n=100),调查患者术后是否出现低血糖.训练集行单因素与多因素logistic回归分析,确定低血糖发生影响因素,依据logistic回归分析结果构建风险预测模型,应用验证集验证预测模型预测效能.结果:训练集与验证集低血糖发生率分析比较,差异无统计学意义(P>0.05);单因素与多因素logistic回归分析结果显示:年龄、睡眠障碍、术前禁止饮食时间、术前补液是患者低血糖发生影响因素(P<0.05);构建预测模型In(P/1-P)=-13.115+0.532×年龄+0.502×存在睡眠障碍+0.452×术前禁止饮食时间-0.348×术前补液.采用Hosmer-Lemeshow检验模型拟合度(x2=6.228,P=0.075),获得低血糖发生预测模型AUC为 0.842(95%CI:0.783~0.901),灵敏度与特异度分别为 74.22%与 88.65%;外部验证结果显示预测模型AUC为 0.813(95%CI:0.738~0.879),灵敏度与特异度分别 79.42%与 83.87%,Hosmer-Lemeshow检验模型拟合度(x2=5.063,P=0.149).结论:构建的结直肠息肉切除术后患者发生低血糖的风险预测模型预测效果优异,可以识别结直肠息肉切除术低血糖高风险患者,以及时给予针对性干预措施.
Objective:To construct and validate a risk prediction model for hypoglycemia in patients after colorectal polyp resection.Method:A total of 400 patients who underwent colorectal polyp resection and were admitted to the Department of Gastroenterology,Guangzhou Hospital of Integrated Traditional Chinese and Western Medicine from June 2024 to April 2025 were prospectively selected as the research subjects.The results were as follows:all patients were divided into the training set(n=300)and the validation set(n=100)in a ratio of 3:1.Whether hypoglycemia occurred in the patients after surgery was investigated.Univariate and multivariate logistic regression analysis were performed on the patients in the training set to determine the influencing factors of hypoglycemia.A risk prediction model was constructed based on the results of multivariate logistic regression analysis.And the validation set was applied to verify the prediction performance of the prediction model.Result:The analysis and comparison of the incidence of hypoglycemia between the training set and the validation set showed no statistical significance(P>0.05).Univariate and multivariate logistic regression analysis showed that age,sleep disorders,preoperative dietary prohibition time and preoperative fluid replacement were influencing factors for hypoglycemia in patients(P<0.05).The prediction model In(P/1-P)=-13.115+0.532×age+0.502×presence of sleep disorder+0.452×preoperative dietary prohibition time-0.348×preoperative fluid replacement was conducted.The Hosmer-Lemeshow test was used to examine the model(fit,x2=6.228,P=0.075).The AUC of the hypoglycemic occurrence prediction model obtained was 0.842(95%CI:0.783~0.901),and the sensitivity and specificity were 74.22%and 88.65%,respectively.The external validation results showed that the AUC of the prediction model was 0.813(95%CI:0.738~0.879),with sensitivity and specificity of 79.42%and 83.87%respectively.The Hosmer-Lemeshow test was used to test the model fit(x2=5.063,P=0.149).Conclusion:The risk prediction model for hypoglycemia in patients after colorectal polyp resection constructed has an excellent predictive effect.It can identify patients at high risk of hypoglycemia after colorectal polyp resection and provide targeted intervention measures in a timely manner.
黄颖欣;黄靖晖;江晓艳
广州市中西医结合医院 广东 广州 510800广州市中西医结合医院 广东 广州 510800广州市中西医结合医院 广东 广州 510800
结直肠息肉切除术低血糖风险预测模型模型验证
Resection of colorectal polypsHypoglycemiaRisk prediction modelModel verification
《中外医学研究》 2026 (7)
56-59,63,5
广州市花都区科技计划项目(24-HDWS-056)
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