{"title":"\"神经外科手术过程中记录的速度-压力环衍生值与术后器官衰竭生物标志物的关联:一项回顾性单中心研究\"。","authors":"","doi":"10.1016/j.accpm.2024.101405","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Perioperative renal and myocardial protection primarily depends on preoperative prediction tools, along with intraoperative optimization of cardiac output (CO) and mean arterial pressure (MAP). We hypothesise that monitoring the intraoperative global afterload angle (GALA), a proxy of ventricular afterload derived from the velocity pressure (VP) loop, could better predict changes in postoperative biomarkers than the recommended traditional MAP and CO.</div></div><div><h3>Method</h3><div>This retrospective monocentric study included patients programmed for neurosurgery with continuous VP loop monitoring. Patients with hemodynamic instability were excluded. Those presenting a 1-day post-surgery increase in creatinine, B-type natriuretic peptide, or troponin Ic us were labelled Bio+, Bio− otherwise. Demographics, intra-operative data, and comorbidities were considered as covariates. The study aimed to determine if intraoperative GALA monitoring could predict early postoperative biomarker disruption.</div></div><div><h3>Result</h3><div>From November 2018 to November 2020, 86 patients were analysed (Bio+/Bio− = 47/39). Bio+ patients were significantly older (62 [54−69] vs. 42 [34−57] years, <em>p</em> < 0.0001), More often hypertensive (25% vs. 9%, <em>p</em> = 0.009), and more frequently treated with antihypertensive drugs (31.9% vs. 7.7%, <em>p</em> = 0.013). GALA was significantly larger in Bio+ patients (40 [31−56] vs. 23 [19–29] °, <em>p</em> < 0.0001), while CO, MAP, and cumulative time spent <65mmHg were similar between groups. GALA exhibited strong predictive performances for postoperative biological deterioration (AUC = 0.88 [0.80−0.95]), significantly outperforming MAP (MAP AUC = 0.55 [0.43−0.68], <em>p</em> < 0.0001).</div></div><div><h3>Conclusion</h3><div>GALA under general anaesthesia prove more effective in detecting patients at risk of early cardiac or renal biological deterioration, compared to classical hemodynamic parameters.</div></div>","PeriodicalId":48762,"journal":{"name":"Anaesthesia Critical Care & Pain Medicine","volume":"43 5","pages":"Article 101405"},"PeriodicalIF":3.7000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of velocity-pressure loop-derived values recorded during neurosurgical procedures with postoperative organ failure biomarkers: a retrospective single-center study\",\"authors\":\"\",\"doi\":\"10.1016/j.accpm.2024.101405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Perioperative renal and myocardial protection primarily depends on preoperative prediction tools, along with intraoperative optimization of cardiac output (CO) and mean arterial pressure (MAP). We hypothesise that monitoring the intraoperative global afterload angle (GALA), a proxy of ventricular afterload derived from the velocity pressure (VP) loop, could better predict changes in postoperative biomarkers than the recommended traditional MAP and CO.</div></div><div><h3>Method</h3><div>This retrospective monocentric study included patients programmed for neurosurgery with continuous VP loop monitoring. Patients with hemodynamic instability were excluded. Those presenting a 1-day post-surgery increase in creatinine, B-type natriuretic peptide, or troponin Ic us were labelled Bio+, Bio− otherwise. Demographics, intra-operative data, and comorbidities were considered as covariates. The study aimed to determine if intraoperative GALA monitoring could predict early postoperative biomarker disruption.</div></div><div><h3>Result</h3><div>From November 2018 to November 2020, 86 patients were analysed (Bio+/Bio− = 47/39). Bio+ patients were significantly older (62 [54−69] vs. 42 [34−57] years, <em>p</em> < 0.0001), More often hypertensive (25% vs. 9%, <em>p</em> = 0.009), and more frequently treated with antihypertensive drugs (31.9% vs. 7.7%, <em>p</em> = 0.013). GALA was significantly larger in Bio+ patients (40 [31−56] vs. 23 [19–29] °, <em>p</em> < 0.0001), while CO, MAP, and cumulative time spent <65mmHg were similar between groups. GALA exhibited strong predictive performances for postoperative biological deterioration (AUC = 0.88 [0.80−0.95]), significantly outperforming MAP (MAP AUC = 0.55 [0.43−0.68], <em>p</em> < 0.0001).</div></div><div><h3>Conclusion</h3><div>GALA under general anaesthesia prove more effective in detecting patients at risk of early cardiac or renal biological deterioration, compared to classical hemodynamic parameters.</div></div>\",\"PeriodicalId\":48762,\"journal\":{\"name\":\"Anaesthesia Critical Care & Pain Medicine\",\"volume\":\"43 5\",\"pages\":\"Article 101405\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anaesthesia Critical Care & Pain Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352556824000638\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANESTHESIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anaesthesia Critical Care & Pain Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352556824000638","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:围手术期的肾脏和心肌保护主要取决于术前预测工具以及术中对心排血量(CO)和平均动脉压(MAP)的优化。我们假设,与推荐的传统 MAP 和 CO 相比,监测术中全局后负荷角(GALA)(由速度压力(VP)环路得出的心室后负荷替代指标)能更好地预测术后生物标志物的变化:这项回顾性单中心研究纳入了计划进行神经外科手术并接受连续 VP 环路监测的患者。排除了血流动力学不稳定的患者。术后 1 天血肌酐、B 型利钠肽或肌钙蛋白 Ic 升高的患者标记为 Bio+,否则标记为 Bio-。人口统计学、术中数据和合并症被视为协变量。该研究旨在确定术中GALA监测能否预测术后早期生物标志物紊乱:从2018年11月到2020年11月,共分析了86名患者(Bio+/Bio- = 47/39)。Bio + 患者年龄明显偏大(62[54-69] 岁对 42[34-57] 岁,P 结论:与传统的血液动力学参数相比,全身麻醉下的 GALA 被证明能更有效地检测出有早期心脏或肾脏生物学恶化风险的患者。
Association of velocity-pressure loop-derived values recorded during neurosurgical procedures with postoperative organ failure biomarkers: a retrospective single-center study
Background
Perioperative renal and myocardial protection primarily depends on preoperative prediction tools, along with intraoperative optimization of cardiac output (CO) and mean arterial pressure (MAP). We hypothesise that monitoring the intraoperative global afterload angle (GALA), a proxy of ventricular afterload derived from the velocity pressure (VP) loop, could better predict changes in postoperative biomarkers than the recommended traditional MAP and CO.
Method
This retrospective monocentric study included patients programmed for neurosurgery with continuous VP loop monitoring. Patients with hemodynamic instability were excluded. Those presenting a 1-day post-surgery increase in creatinine, B-type natriuretic peptide, or troponin Ic us were labelled Bio+, Bio− otherwise. Demographics, intra-operative data, and comorbidities were considered as covariates. The study aimed to determine if intraoperative GALA monitoring could predict early postoperative biomarker disruption.
Result
From November 2018 to November 2020, 86 patients were analysed (Bio+/Bio− = 47/39). Bio+ patients were significantly older (62 [54−69] vs. 42 [34−57] years, p < 0.0001), More often hypertensive (25% vs. 9%, p = 0.009), and more frequently treated with antihypertensive drugs (31.9% vs. 7.7%, p = 0.013). GALA was significantly larger in Bio+ patients (40 [31−56] vs. 23 [19–29] °, p < 0.0001), while CO, MAP, and cumulative time spent <65mmHg were similar between groups. GALA exhibited strong predictive performances for postoperative biological deterioration (AUC = 0.88 [0.80−0.95]), significantly outperforming MAP (MAP AUC = 0.55 [0.43−0.68], p < 0.0001).
Conclusion
GALA under general anaesthesia prove more effective in detecting patients at risk of early cardiac or renal biological deterioration, compared to classical hemodynamic parameters.
期刊介绍:
Anaesthesia, Critical Care & Pain Medicine (formerly Annales Françaises d''Anesthésie et de Réanimation) publishes in English the highest quality original material, both scientific and clinical, on all aspects of anaesthesia, critical care & pain medicine.