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根治性前列腺切除术患者术后谵妄的预测因素:一项前瞻性研究。

Predictors of postoperative delirium in patients undergoing radical prostatectomy: a prospective study.

作者信息

Wang Hao, Chen Jie, Chen Jing, Chen Yanhua, Qin Yinying, Liu Tianxiao, Pan Sining, Xie Yubo

机构信息

Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, China.

Department of Anesthesiology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi, China.

出版信息

Support Care Cancer. 2025 Mar 10;33(4):260. doi: 10.1007/s00520-025-09289-w.

Abstract

BACKGROUND

Analyze the risk factors for postoperative delirium (POD) in elderly patients undergoing radical prostatectomy, and built a predictive nomogram model for early identification of high-risk individuals.

METHODS

A total of 156 patients was recruited and categorized based on whether the development of POD within 7 days post-surgery. After identifying independent risk factors through univariate and multivariate logistic regression analyses, predictive models were established. The discrimination and calibration were determined by C-index and calibration curve, with five-fold cross-validation executed. A nomogram model representing the optimal model was constructed based on the results.

RESULTS

POD occurred in 24 (15.38%) patients. Significant differences were observed in age, anxiety, physical status, sleep disorders, blood glucose, age-adjusted Charlson comorbidity index (ACCI), anticholinergic, blood loss, postoperative infection, and postoperative pain assessed by the numerical rating scale (NRS). Logistic regression analyses showed that sleep disorders (OR:12.931, 95% CI:1.191-140.351, P = 0.035), ACCI (OR:2.608, 95% CI:1.143-5.950, P = 0.023), postoperative infection (OR:19.298, 95% CI:2.53-147.202, P = 0.04), and NRS (OR:4.033, 95% CI:1.062-15.324, P = 0.041) were independent risk factors for POD. Model 1 (postoperative infection, ACCI, preoperative sleep disorder, NRS) showed better diagnostic performance than the others, of which the area under the curve (AUC) was 0.973. The best diagnostic performance was found in model 1 through five-fold cross-validation, with a C-index of 0.963.

CONCLUSIONS

This prospective cohort study highlighted that ACCI, preoperative sleep disorder, postoperative pain, and postoperative infection were identified as independent risk factors for POD. Furthermore, the nomogram derived from model 1 proved to be effective in predicting POD in elderly patients undergoing radical prostatectomy.

摘要

背景

分析接受根治性前列腺切除术的老年患者术后谵妄(POD)的危险因素,并建立预测列线图模型以早期识别高危个体。

方法

共招募156例患者,并根据术后7天内是否发生POD进行分类。通过单因素和多因素逻辑回归分析确定独立危险因素后,建立预测模型。通过C指数和校准曲线确定辨别力和校准,并进行五折交叉验证。根据结果构建代表最佳模型的列线图模型。

结果

24例(15.38%)患者发生POD。在年龄、焦虑、身体状况、睡眠障碍、血糖、年龄校正的Charlson合并症指数(ACCI)、抗胆碱能药物、失血量、术后感染以及通过数字评定量表(NRS)评估的术后疼痛方面观察到显著差异。逻辑回归分析显示,睡眠障碍(比值比:12.931,95%置信区间:1.191 - 140.351,P = 0.035)、ACCI(比值比:2.608,95%置信区间:1.143 - 5.950,P = 0.023)、术后感染(比值比:19.298,95%置信区间:2.53 - 147.202,P = 0.04)和NRS(比值比:4.033,95%置信区间:1.062 - 15.324,P = 0.041)是POD的独立危险因素。模型1(术后感染、ACCI、术前睡眠障碍、NRS)显示出比其他模型更好的诊断性能,其曲线下面积(AUC)为0.973。通过五折交叉验证在模型1中发现最佳诊断性能,C指数为0.963。

结论

这项前瞻性队列研究强调,ACCI、术前睡眠障碍、术后疼痛和术后感染被确定为POD的独立危险因素。此外,源自模型1的列线图被证明可有效预测接受根治性前列腺切除术的老年患者的POD。

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