{"title":"冠心病重症患者估计脉搏波速度的预后意义:MIMIC-IV 数据库分析。","authors":"Yingzhen Gu, Xiaorong Han, Jinxing Liu, Yifan Li, Zuozhi Li, Wei Zhang, Naqiang Lv, Aimin Dang","doi":"10.1093/ehjqcco/qcae076","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There are currently no specialized risk-scoring systems for critically ill patients with coronary heart disease (CHD). Arterial stiffness, as measured by estimated pulse wave velocity (ePWV), has emerged as a potential indicator of mortality or adverse cardiovascular events in individuals with CHD. This study aimed to evaluate the association between ePWV and all-cause mortality among critically ill patients with CHD beyond traditional risk scores.</p><p><strong>Methods: </strong>This study included 11 001 participants with CHD from the Medical Information Mart for Intensive Care IV, with a one-year follow-up. The primary endpoint was one-year all-cause mortality, and the secondary endpoint was in-hospital mortality.</p><p><strong>Results: </strong>Elevated ePWV was significantly associated with higher risks of in-hospital (OR 1.15, 95% CI 1.12-1.17, p < 0.001) and one-year (HR 1.21, 95% CI 1.20-1.23, p < 0.001) mortality. These associations remained consistent when adjusted for traditional risk scores and potential confounders. When ePWV was integrated into traditional risk scoring models (OASIS, SOFA score, APSIII, SIRS score, SAPS II, and LODS score), the predictive accuracy (area under the curve: 64.55 to 70.56, 64.32 to 72.51, 72.35 to 75.80, 55.58 to 67.68, 71.27 to 73.53, 67.24 to 73.40, p < 0.001) and reclassification (net reclassification index: 0.230, 0.268, 0.257, 0.255, 0.221, 0.254; integrated discrimination improvement: 0.049, 0.072, 0.054, 0.068, 0.037, 0.061, p < 0.001) of these models significantly improved for one-year mortality. Similar results were also found for in-hospital mortality.</p><p><strong>Conclusions: </strong>ePWV is a strong independent predictor of both short- and long-term mortality in critically ill patients with CHD. Importantly, integrating ePWV into traditional risk scores significantly boosts the predictive accuracy for one-year and in-hospital all-cause mortality.</p>","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease: analysis from the MIMIC‑IV database.\",\"authors\":\"Yingzhen Gu, Xiaorong Han, Jinxing Liu, Yifan Li, Zuozhi Li, Wei Zhang, Naqiang Lv, Aimin Dang\",\"doi\":\"10.1093/ehjqcco/qcae076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>There are currently no specialized risk-scoring systems for critically ill patients with coronary heart disease (CHD). Arterial stiffness, as measured by estimated pulse wave velocity (ePWV), has emerged as a potential indicator of mortality or adverse cardiovascular events in individuals with CHD. This study aimed to evaluate the association between ePWV and all-cause mortality among critically ill patients with CHD beyond traditional risk scores.</p><p><strong>Methods: </strong>This study included 11 001 participants with CHD from the Medical Information Mart for Intensive Care IV, with a one-year follow-up. The primary endpoint was one-year all-cause mortality, and the secondary endpoint was in-hospital mortality.</p><p><strong>Results: </strong>Elevated ePWV was significantly associated with higher risks of in-hospital (OR 1.15, 95% CI 1.12-1.17, p < 0.001) and one-year (HR 1.21, 95% CI 1.20-1.23, p < 0.001) mortality. These associations remained consistent when adjusted for traditional risk scores and potential confounders. When ePWV was integrated into traditional risk scoring models (OASIS, SOFA score, APSIII, SIRS score, SAPS II, and LODS score), the predictive accuracy (area under the curve: 64.55 to 70.56, 64.32 to 72.51, 72.35 to 75.80, 55.58 to 67.68, 71.27 to 73.53, 67.24 to 73.40, p < 0.001) and reclassification (net reclassification index: 0.230, 0.268, 0.257, 0.255, 0.221, 0.254; integrated discrimination improvement: 0.049, 0.072, 0.054, 0.068, 0.037, 0.061, p < 0.001) of these models significantly improved for one-year mortality. Similar results were also found for in-hospital mortality.</p><p><strong>Conclusions: </strong>ePWV is a strong independent predictor of both short- and long-term mortality in critically ill patients with CHD. Importantly, integrating ePWV into traditional risk scores significantly boosts the predictive accuracy for one-year and in-hospital all-cause mortality.</p>\",\"PeriodicalId\":4,\"journal\":{\"name\":\"ACS Applied Energy Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Energy Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ehjqcco/qcae076\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ehjqcco/qcae076","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
摘要
背景:目前还没有专门针对冠心病(CHD)重症患者的风险评分系统。以估计脉搏波速度(ePWV)测量的动脉僵化已成为冠心病患者死亡率或不良心血管事件的潜在指标。本研究旨在评估患有冠心病的重症患者中 ePWV 与全因死亡率之间的关系,而非传统的风险评分:这项研究纳入了 11 001 名重症监护医学信息中心 IV 的 CHD 患者,并进行了为期一年的随访。主要终点是一年的全因死亡率,次要终点是院内死亡率:结果:ePWV 升高与较高的院内死亡率风险显著相关(OR 1.15,95% CI 1.12-1.17,p 结论:ePWV 是预测患有心脏病的重症患者短期和长期死亡率的一个强有力的独立指标。重要的是,将 ePWV 纳入传统的风险评分可显著提高对一年死亡率和院内全因死亡率的预测准确性。
Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease: analysis from the MIMIC‑IV database.
Background: There are currently no specialized risk-scoring systems for critically ill patients with coronary heart disease (CHD). Arterial stiffness, as measured by estimated pulse wave velocity (ePWV), has emerged as a potential indicator of mortality or adverse cardiovascular events in individuals with CHD. This study aimed to evaluate the association between ePWV and all-cause mortality among critically ill patients with CHD beyond traditional risk scores.
Methods: This study included 11 001 participants with CHD from the Medical Information Mart for Intensive Care IV, with a one-year follow-up. The primary endpoint was one-year all-cause mortality, and the secondary endpoint was in-hospital mortality.
Results: Elevated ePWV was significantly associated with higher risks of in-hospital (OR 1.15, 95% CI 1.12-1.17, p < 0.001) and one-year (HR 1.21, 95% CI 1.20-1.23, p < 0.001) mortality. These associations remained consistent when adjusted for traditional risk scores and potential confounders. When ePWV was integrated into traditional risk scoring models (OASIS, SOFA score, APSIII, SIRS score, SAPS II, and LODS score), the predictive accuracy (area under the curve: 64.55 to 70.56, 64.32 to 72.51, 72.35 to 75.80, 55.58 to 67.68, 71.27 to 73.53, 67.24 to 73.40, p < 0.001) and reclassification (net reclassification index: 0.230, 0.268, 0.257, 0.255, 0.221, 0.254; integrated discrimination improvement: 0.049, 0.072, 0.054, 0.068, 0.037, 0.061, p < 0.001) of these models significantly improved for one-year mortality. Similar results were also found for in-hospital mortality.
Conclusions: ePWV is a strong independent predictor of both short- and long-term mortality in critically ill patients with CHD. Importantly, integrating ePWV into traditional risk scores significantly boosts the predictive accuracy for one-year and in-hospital all-cause mortality.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.