Diastolic Versus Systolic or Mean Intraoperative Hypotension as Predictive of Perioperative Myocardial Injury in a White-Box Machine-Learning Model.

IF 3.8 2区 医学 Q1 ANESTHESIOLOGY Anesthesia and analgesia Pub Date : 2025-07-01 Epub Date: 2025-02-20 DOI:10.1213/ANE.0000000000007379
Arman Valadkhani, Anil Gupta, Giordano Cauli, Johan L Nordström, Ayda Rohi, Panos Tufexis, Caroline Hällsjö Sander, Martin Jacobsson, Max Bell
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Abstract

Background: Intraoperative hypotension (IOH) and tachycardia are associated with perioperative myocardial injury (PMI), and thereby increased postoperative mortality. Patients undergoing vascular surgery are specifically at risk of developing cardiac complications. This study aimed to explore the association between different thresholds for IOH and tachycardia, and PMI. It also aimed to explore which threshold for IOH and tachycardia best predicts PMI.

Methods: In this single-center prospective observational study, high-sensitivity cardiac troponin T was measured preoperatively and at 4, 24, and 48 hours after vascular surgery. Absolute and relative thresholds were used to define intraoperative systolic, mean, and diastolic arterial hypotension, measured every 15 seconds by invasive arterial pressure monitoring and heart rate using the Philips IntelliVue X3 monitor. Decision tree machine-learning (ML) models were used to explore which thresholds for IOH and tachycardia best predict PMI. Clinical utility and transparency were prioritized over maximizing the performance of the ML model and therefore a white-box model was used.

Results: In all, 498 patients were included in the study. Ninety-nine patients (20%) had PMI. Significant associations were found between IOH and PMI using both absolute and relative thresholds for systolic, mean, and diastolic arterial pressure. Absolute thresholds based on diastolic arterial pressure had the strongest correlation with PMI and yielded greater statistical significance. The threshold that was most predictive of PMI was an absolute diastolic arterial pressure <44 mm Hg. The prediction model with the absolute threshold of diastolic arterial pressure <44 mm Hg had a macro average F1 score of 0.67 and a weighted average F1 score of 0.76. No association was found between tachycardia and PMI.

Conclusions: We found that an absolute, not relative, IOH threshold based on diastolic arterial pressure, and not systolic or mean arterial pressure, or tachycardia, was most predictive of PMI.

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在白盒机器学习模型中预测围手术期心肌损伤的舒张压与收缩压或平均术中低血压。
背景:术中低血压(IOH)和心动过速与围术期心肌损伤(PMI)相关,从而增加术后死亡率。接受血管手术的患者尤其有发生心脏并发症的风险。本研究旨在探讨IOH和心动过速不同阈值与PMI之间的关系。它还旨在探索IOH和心动过速的哪个阈值最能预测PMI。方法:在这项单中心前瞻性观察研究中,在术前和血管手术后4、24和48小时测量高敏感性心肌肌钙蛋白T。绝对和相对阈值用于定义术中收缩压、平均和舒张压,每15秒测量一次有创动脉压监测和飞利浦IntelliVue X3心率监测仪。使用决策树机器学习(ML)模型来探索IOH和心动过速的哪些阈值最能预测PMI。临床效用和透明度优先于ML模型的性能最大化,因此使用了白盒模型。结果:共纳入498例患者。99例(20%)有PMI。使用收缩压、平均动脉压和舒张压的绝对和相对阈值发现IOH和PMI之间存在显著关联。基于舒张压的绝对阈值与PMI相关性最强,具有更大的统计学意义。结论:我们发现,基于舒张压的绝对IOH阈值,而不是基于收缩压或平均动脉压或心动过速的绝对IOH阈值,最能预测PMI。
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来源期刊
Anesthesia and analgesia
Anesthesia and analgesia 医学-麻醉学
CiteScore
9.90
自引率
7.00%
发文量
817
审稿时长
2 months
期刊介绍: Anesthesia & Analgesia exists for the benefit of patients under the care of health care professionals engaged in the disciplines broadly related to anesthesiology, perioperative medicine, critical care medicine, and pain medicine. The Journal furthers the care of these patients by reporting the fundamental advances in the science of these clinical disciplines and by documenting the clinical, laboratory, and administrative advances that guide therapy. Anesthesia & Analgesia seeks a balance between definitive clinical and management investigations and outstanding basic scientific reports. The Journal welcomes original manuscripts containing rigorous design and analysis, even if unusual in their approach.
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