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老年非心脏手术患者诱导后低血压预测模型的开发与验证:一项前瞻性队列研究

Development and validation of a prediction model for post-induction hypotension in elderly patients undergoing non-cardiac surgery: a prospective cohort study.

作者信息

Bian Zhen, Dou Wei, Ying Yaoyu, Shi Haijing, Ji Fuhai, Hu Jinghui, Peng Ke

机构信息

Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, China.

Institute of Anesthesiology, Soochow University, Suzhou, Jiangsu, 215006, China.

出版信息

BMC Anesthesiol. 2025 Apr 28;25(1):217. doi: 10.1186/s12871-025-03090-2.

Abstract

BACKGROUNDS

Post-induction hypotension (PIH) is prevalent in elderly surgical patients and associated with adverse outcomes; however, predicting PIH remains challenging. We aimed to develop a feasible and practical PIH prediction model for elderly patients undergoing non-cardiac surgery.

METHODS

In this single-center prospective cohort study, 938 elderly patients undergoing non-cardiac surgery were enrolled from December 2022 to May 2023 (n = 657 in the development cohort) and from June 2023 to August 2023 (n = 281 in the temporal validation cohort), respectively. The study outcome was the occurrence of PIH, defined as hypotension during the first 15 min after anesthesia induction or until skin incision (whichever occurred first). Predictors were determined based on LASSO and logistic regression analyses. A nomogram and a dynamic application were used for model visualization. The internal and temporal validation were performed to evaluate the discriminability, calibration and clinical utility.

RESULTS

The median age was 71 years in both cohorts. The incidence of PIH was 51.6% and 50.5% in the development and validation cohorts, respectively. Cardiac function, baseline mean arterial pressure in the ward, etomidate use, and pre-induction mean arterial pressure were determined as predictors. The PIH prediction model was visualized as a nomogram and a dynamic application. The area under the receiver operating characteristic curve was 0.680 (95% confidence interval [CI]: 0.639 to 0.720) in internal validation and 0.697 (95% CI: 0.635 to 0.759) in temporal validation. The mean absolute errors were 0.012 and 0.029 for the internal and temporal validation calibration curves, respectively. The Brier score was 0.223. The decision curve analysis indicated that the model had a gain in predicting PIH.

CONCLUSION

A PIH prediction model with four predictors was developed and validated for elderly patients undergoing non-cardiac surgery. This model provides a foundation for future refinements to enhance its value of assisting clinical decision-making across diverse healthcare settings.

TRIAL REGISTRATION

This study was registered at the Chinese Clinical Trial Registry (ChiCTR2200066201).

摘要

背景

诱导后低血压(PIH)在老年外科手术患者中很常见,且与不良预后相关;然而,预测PIH仍然具有挑战性。我们旨在为接受非心脏手术的老年患者开发一种可行且实用的PIH预测模型。

方法

在这项单中心前瞻性队列研究中,分别从2022年12月至2023年5月(开发队列n = 657)和2023年6月至2023年8月(时间验证队列n = 281)纳入938例接受非心脏手术的老年患者。研究结局为PIH的发生,定义为麻醉诱导后前15分钟内或直至皮肤切开(以先发生者为准)期间的低血压。基于LASSO和逻辑回归分析确定预测因素。使用列线图和动态应用程序进行模型可视化。进行内部验证和时间验证以评估区分能力、校准和临床实用性。

结果

两个队列的中位年龄均为71岁。开发队列和验证队列中PIH的发生率分别为51.6%和50.5%。心脏功能、病房基线平均动脉压、依托咪酯的使用以及诱导前平均动脉压被确定为预测因素。PIH预测模型被可视化为列线图和动态应用程序。内部验证中受试者操作特征曲线下面积为0.680(95%置信区间[CI]:0.639至0.720),时间验证中为0.697(95%CI:0.635至0.759)。内部验证和时间验证校准曲线的平均绝对误差分别为0.012和0.029。Brier评分为0.223。决策曲线分析表明该模型在预测PIH方面有获益。

结论

为接受非心脏手术的老年患者开发并验证了一种具有四个预测因素的PIH预测模型。该模型为未来改进以提高其在不同医疗环境中辅助临床决策的价值奠定了基础。

试验注册

本研究在中国临床试验注册中心注册(ChiCTR2200066201)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3173/12036260/c37b48ef84ae/12871_2025_3090_Fig1_HTML.jpg

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