Bangyuan Yang, Changjin Wang, Ting Zhou, Yinghao Sun, Shengneng Zheng, Jiaohua Chen, Songyuan Luo, Jianfang Luo, Jie Li
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The primary endpoint was all-cause mortality during the follow-up period, and secondary endpoints included in-hospital complications as defined by the Valve Academic Research Consortium-3 (VARC-3) criteria. Patients were stratified into two groups based on the optimal cutoff value determined by the receiver-operating characteristic (ROC) curve. Cox regression analysis was employed to identify independent predictors of all-cause mortality. Additionally, restricted cubic spline (RCS) was deployed to illustrate the relationship between SIC and mortality risk. The predictive performance of risk scores was evaluated using the area under the ROC curve (AUC).</p><p><strong>Results: </strong>Over a mean follow-up period of 21.5 months, there were 51 cases of all-cause mortality. Patients with a high SIC, identified by a cutoff of 16.5, exhibited a significantly higher cumulative all-cause mortality compared to those with a low SIC (18.3% vs. 5.2%, p < 0.001; adjusted HR = 2.188; 95% CI 1.103-4.341, p = 0.025). Patients with a high SIC were older (p = 0.002) and exhibited a higher prevalence of frailty (p < 0.001). Furthermore, they exhibited a heightened probability of moderate or severe mitral regurgitation (p < 0.001), tricuspid regurgitation (p < 0.001), and pulmonary hypertension (p < 0.001) compared to those with a low SIC. In terms of perioperative complications, acute kidney injury (10.1% vs. 3.9%, p = 0.008) and bleeding (13.6% vs. 6.7%, p = 0.014) were more prevalent in patients with a high SIC. The RCS demonstrated a positive correlation between SIC and all-cause mortality rate. Furthermore, incorporating high SIC into the STS score improved its predictive value for 1-year all-cause mortality (AUC: 0.731 vs. 0.649, p = 0.01).</p><p><strong>Conclusion: </strong>Patients with a high SIC are more likely to experience frailty and cardiac damage and exhibit an increased in-hospital and mid-term mortality rate. SIC may provide additional information for risk stratification of patients undergoing TAVR.</p>","PeriodicalId":9584,"journal":{"name":"Cardiorenal Medicine","volume":" ","pages":"556-569"},"PeriodicalIF":2.4000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic Value of Shock Index Creatinine in Patients with Severe Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement.\",\"authors\":\"Bangyuan Yang, Changjin Wang, Ting Zhou, Yinghao Sun, Shengneng Zheng, Jiaohua Chen, Songyuan Luo, Jianfang Luo, Jie Li\",\"doi\":\"10.1159/000541323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Shock index (SI) and its derivatives have been reported to have prognostic value in various cardiovascular diseases. This study aims to ascertain the utility of shock index creatinine (SIC) in predicting mid-term mortality among patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR).</p><p><strong>Methods: </strong>We conducted a retrospective analysis of 555 patients with severe AS who underwent TAVR from April 2016 to March 2023. SIC was calculated as (SI × 100) - estimated creatinine clearance (CCr). The primary endpoint was all-cause mortality during the follow-up period, and secondary endpoints included in-hospital complications as defined by the Valve Academic Research Consortium-3 (VARC-3) criteria. Patients were stratified into two groups based on the optimal cutoff value determined by the receiver-operating characteristic (ROC) curve. Cox regression analysis was employed to identify independent predictors of all-cause mortality. Additionally, restricted cubic spline (RCS) was deployed to illustrate the relationship between SIC and mortality risk. The predictive performance of risk scores was evaluated using the area under the ROC curve (AUC).</p><p><strong>Results: </strong>Over a mean follow-up period of 21.5 months, there were 51 cases of all-cause mortality. Patients with a high SIC, identified by a cutoff of 16.5, exhibited a significantly higher cumulative all-cause mortality compared to those with a low SIC (18.3% vs. 5.2%, p < 0.001; adjusted HR = 2.188; 95% CI 1.103-4.341, p = 0.025). Patients with a high SIC were older (p = 0.002) and exhibited a higher prevalence of frailty (p < 0.001). Furthermore, they exhibited a heightened probability of moderate or severe mitral regurgitation (p < 0.001), tricuspid regurgitation (p < 0.001), and pulmonary hypertension (p < 0.001) compared to those with a low SIC. In terms of perioperative complications, acute kidney injury (10.1% vs. 3.9%, p = 0.008) and bleeding (13.6% vs. 6.7%, p = 0.014) were more prevalent in patients with a high SIC. The RCS demonstrated a positive correlation between SIC and all-cause mortality rate. Furthermore, incorporating high SIC into the STS score improved its predictive value for 1-year all-cause mortality (AUC: 0.731 vs. 0.649, p = 0.01).</p><p><strong>Conclusion: </strong>Patients with a high SIC are more likely to experience frailty and cardiac damage and exhibit an increased in-hospital and mid-term mortality rate. 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引用次数: 0
摘要
简介 据报道,休克指数(SI)及其衍生物对各种心血管疾病具有预后价值。本研究旨在确定休克指数肌酐(SIC)在预测接受经导管主动脉瓣置换术(TAVR)的重度主动脉瓣狭窄(AS)患者中期死亡率中的作用:我们对2016年4月至2023年3月期间接受TAVR的555例重度AS患者进行了回顾性分析。SIC的计算公式为(SI × 100)-估计肌酐清除率(CCr)。主要终点是随访期间的全因死亡率,次要终点包括瓣膜学术研究联盟-3(VARC-3)标准定义的院内并发症。根据接收器操作特征曲线(ROC)确定的最佳临界值将患者分为两组。采用 Cox 回归分析确定全因死亡率的独立预测因素。此外,还采用了限制性立方样条曲线(RCS)来说明 SIC 与死亡风险之间的关系。使用 ROC 曲线下面积(AUC)评估了风险评分的预测性能:在平均 21.5 个月的随访期间,共有 51 例全因死亡病例。以 16.5 为临界值的高 SIC 患者的累积全因死亡率明显高于低 SIC 患者(18.3% vs. 5.2%,p < 0.001;调整后 HR=2.188; 95% CI 1.103-4.341, p = 0.025)。SIC值高的患者年龄更大(p = 0.002),体弱的发生率更高(p<0.001)。此外,与低 SIC 患者相比,他们出现中度或重度二尖瓣反流(p <0.001)、三尖瓣反流(p <0.001)和肺动脉高压(p <0.001)的概率更高。在围手术期并发症方面,急性肾损伤(10.1% 对 3.9%,P = 0.008)和出血(13.6% 对 6.7%,P = 0.014)在高 SIC 患者中更为常见。RCS 显示,SIC 与全因死亡率呈正相关。此外,将高 SIC 纳入 STS 评分可提高其对 1 年全因死亡率的预测价值(AUC:0.731 vs. 0.649,p=0.01):结论:SIC值高的患者更容易出现虚弱和心脏损伤,并表现出更高的院内和中期死亡率。SIC可为TAVR患者的风险分层提供额外信息。
Prognostic Value of Shock Index Creatinine in Patients with Severe Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement.
Introduction: Shock index (SI) and its derivatives have been reported to have prognostic value in various cardiovascular diseases. This study aims to ascertain the utility of shock index creatinine (SIC) in predicting mid-term mortality among patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR).
Methods: We conducted a retrospective analysis of 555 patients with severe AS who underwent TAVR from April 2016 to March 2023. SIC was calculated as (SI × 100) - estimated creatinine clearance (CCr). The primary endpoint was all-cause mortality during the follow-up period, and secondary endpoints included in-hospital complications as defined by the Valve Academic Research Consortium-3 (VARC-3) criteria. Patients were stratified into two groups based on the optimal cutoff value determined by the receiver-operating characteristic (ROC) curve. Cox regression analysis was employed to identify independent predictors of all-cause mortality. Additionally, restricted cubic spline (RCS) was deployed to illustrate the relationship between SIC and mortality risk. The predictive performance of risk scores was evaluated using the area under the ROC curve (AUC).
Results: Over a mean follow-up period of 21.5 months, there were 51 cases of all-cause mortality. Patients with a high SIC, identified by a cutoff of 16.5, exhibited a significantly higher cumulative all-cause mortality compared to those with a low SIC (18.3% vs. 5.2%, p < 0.001; adjusted HR = 2.188; 95% CI 1.103-4.341, p = 0.025). Patients with a high SIC were older (p = 0.002) and exhibited a higher prevalence of frailty (p < 0.001). Furthermore, they exhibited a heightened probability of moderate or severe mitral regurgitation (p < 0.001), tricuspid regurgitation (p < 0.001), and pulmonary hypertension (p < 0.001) compared to those with a low SIC. In terms of perioperative complications, acute kidney injury (10.1% vs. 3.9%, p = 0.008) and bleeding (13.6% vs. 6.7%, p = 0.014) were more prevalent in patients with a high SIC. The RCS demonstrated a positive correlation between SIC and all-cause mortality rate. Furthermore, incorporating high SIC into the STS score improved its predictive value for 1-year all-cause mortality (AUC: 0.731 vs. 0.649, p = 0.01).
Conclusion: Patients with a high SIC are more likely to experience frailty and cardiac damage and exhibit an increased in-hospital and mid-term mortality rate. SIC may provide additional information for risk stratification of patients undergoing TAVR.
期刊介绍:
The journal ''Cardiorenal Medicine'' explores the mechanisms by which obesity and other metabolic abnormalities promote the pathogenesis and progression of heart and kidney disease (cardiorenal metabolic syndrome). It provides an interdisciplinary platform for the advancement of research and clinical practice, focussing on translational issues.