{"title":"危重患者住院期间心血管-肾脏代谢指数与全因死亡率的关系:来自MIMIC IV2.2的回顾性队列研究","authors":"Xiaolong Qu, Yuping Liu, Peng Nie, Lei Huang","doi":"10.3389/fcvm.2024.1513212","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The cardiovascular-kidney-metabolic index (CKMI), a novel functional indicator proposed in this study, aims to accurately reflect the functional status of the heart, kidneys, and metabolism. However, its ability to predict mortality risk in critically ill patients during their stay in the intensive care unit (ICU) remains uncertain. Therefore, this study aims to validate the correlation between the CKMI during hospitalization and all-cause mortality.</p><p><strong>Methods: </strong>The study utilized the Medical Information Mart for Intensive Care IV 2.2 (MIMIC-IV) dataset for a retrospective analysis of cohorts. The cohorts were divided into quartiles based on CKMI index levels. The primary endpoint was all-cause mortality during ICU and hospital stay, while secondary endpoints included the duration of ICU stay and overall hospitalization period. We established Cox proportional hazards models and employed multivariable Cox regression analysis and restricted cubic spline (RCS) regression analysis to explore the relationship between CKMI index and all-cause mortality during hospitalization in critically ill patients. Additionally, subgroup analyses were conducted based on different subgroups.</p><p><strong>Results: </strong>The study enrolled 1,576 patients (male 60.79%). In-patient and ICU mortality was 11.55% and 6.73%. Multivariate COX regression analysis demonstrated a significant negative correlation between CKMI index and the risk of hospital death [HR, 0.26 (95% CI 0.07-0.93), <i>P</i> = 0.038] and ICU mortality [HR, 0.13 (95% CI 0.03-0.67), <i>P</i> = 0.014].RCS regression model revealed that in-hospital mortality (<i>P</i>-value =0.015, P-Nonlinear =0.459) and ICU mortality (<i>P</i>-value =0.029, P-Nonlinear =0.432) increased linearly with increasing CKMI index. Subgroup analysis confirmed consistent effect size and direction across different subgroups, ensuring stable results.</p><p><strong>Conclusion: </strong>Our research findings suggest that a higher CKMI index is associated with a significant reduction in both in-hospital and ICU mortality among critically ill patients. Therefore, CKMI index emerges as a highly valuable prognostic indicator for predicting the risk of in-hospital death in this population. However, to strengthen the validity of these results, further validation through larger-scale prospective studies is imperative.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"11 ","pages":"1513212"},"PeriodicalIF":2.8000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11663873/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association of cardiovascular-kidney-metabolic index with all-cause mortality during hospitalization in critically ill patients: a retrospective cohort study from MIMIC IV2.2.\",\"authors\":\"Xiaolong Qu, Yuping Liu, Peng Nie, Lei Huang\",\"doi\":\"10.3389/fcvm.2024.1513212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The cardiovascular-kidney-metabolic index (CKMI), a novel functional indicator proposed in this study, aims to accurately reflect the functional status of the heart, kidneys, and metabolism. However, its ability to predict mortality risk in critically ill patients during their stay in the intensive care unit (ICU) remains uncertain. Therefore, this study aims to validate the correlation between the CKMI during hospitalization and all-cause mortality.</p><p><strong>Methods: </strong>The study utilized the Medical Information Mart for Intensive Care IV 2.2 (MIMIC-IV) dataset for a retrospective analysis of cohorts. The cohorts were divided into quartiles based on CKMI index levels. The primary endpoint was all-cause mortality during ICU and hospital stay, while secondary endpoints included the duration of ICU stay and overall hospitalization period. We established Cox proportional hazards models and employed multivariable Cox regression analysis and restricted cubic spline (RCS) regression analysis to explore the relationship between CKMI index and all-cause mortality during hospitalization in critically ill patients. Additionally, subgroup analyses were conducted based on different subgroups.</p><p><strong>Results: </strong>The study enrolled 1,576 patients (male 60.79%). In-patient and ICU mortality was 11.55% and 6.73%. Multivariate COX regression analysis demonstrated a significant negative correlation between CKMI index and the risk of hospital death [HR, 0.26 (95% CI 0.07-0.93), <i>P</i> = 0.038] and ICU mortality [HR, 0.13 (95% CI 0.03-0.67), <i>P</i> = 0.014].RCS regression model revealed that in-hospital mortality (<i>P</i>-value =0.015, P-Nonlinear =0.459) and ICU mortality (<i>P</i>-value =0.029, P-Nonlinear =0.432) increased linearly with increasing CKMI index. Subgroup analysis confirmed consistent effect size and direction across different subgroups, ensuring stable results.</p><p><strong>Conclusion: </strong>Our research findings suggest that a higher CKMI index is associated with a significant reduction in both in-hospital and ICU mortality among critically ill patients. 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引用次数: 0
摘要
背景:心血管肾代谢指数(CKMI)是本研究提出的一种新的功能指标,旨在准确反映心脏、肾脏和代谢的功能状态。然而,其预测重症患者在重症监护病房(ICU)期间死亡风险的能力仍不确定。因此,本研究旨在验证住院期间CKMI与全因死亡率之间的相关性。方法:本研究利用重症监护医学信息市场IV 2.2 (MIMIC-IV)数据集对队列进行回顾性分析。根据CKMI指数水平将队列分为四分位数。主要终点是ICU和住院期间的全因死亡率,而次要终点包括ICU住院时间和总住院时间。建立Cox比例风险模型,采用多变量Cox回归分析和限制性三次样条(RCS)回归分析探讨CKMI指数与危重患者住院期间全因死亡率的关系。此外,根据不同的亚组进行亚组分析。结果:共入组1576例患者(男性60.79%)。住院死亡率和ICU死亡率分别为11.55%和6.73%。多因素COX回归分析显示CKMI指数与住院死亡风险[HR, 0.26 (95% CI 0.07-0.93), P = 0.038]和ICU死亡率[HR, 0.13 (95% CI 0.03-0.67), P = 0.014]呈显著负相关。RCS回归模型显示,住院死亡率(p值=0.015,p -非线性=0.459)和ICU死亡率(p值=0.029,p -非线性=0.432)随CKMI指数的升高呈线性增加。亚组分析证实了不同亚组间效应大小和方向的一致性,确保了结果的稳定性。结论:我们的研究结果表明,较高的CKMI指数与重症患者住院和ICU死亡率的显著降低有关。因此,CKMI指数成为预测该人群院内死亡风险的一个非常有价值的预后指标。然而,为了加强这些结果的有效性,通过更大规模的前瞻性研究进一步验证是必要的。
Association of cardiovascular-kidney-metabolic index with all-cause mortality during hospitalization in critically ill patients: a retrospective cohort study from MIMIC IV2.2.
Background: The cardiovascular-kidney-metabolic index (CKMI), a novel functional indicator proposed in this study, aims to accurately reflect the functional status of the heart, kidneys, and metabolism. However, its ability to predict mortality risk in critically ill patients during their stay in the intensive care unit (ICU) remains uncertain. Therefore, this study aims to validate the correlation between the CKMI during hospitalization and all-cause mortality.
Methods: The study utilized the Medical Information Mart for Intensive Care IV 2.2 (MIMIC-IV) dataset for a retrospective analysis of cohorts. The cohorts were divided into quartiles based on CKMI index levels. The primary endpoint was all-cause mortality during ICU and hospital stay, while secondary endpoints included the duration of ICU stay and overall hospitalization period. We established Cox proportional hazards models and employed multivariable Cox regression analysis and restricted cubic spline (RCS) regression analysis to explore the relationship between CKMI index and all-cause mortality during hospitalization in critically ill patients. Additionally, subgroup analyses were conducted based on different subgroups.
Results: The study enrolled 1,576 patients (male 60.79%). In-patient and ICU mortality was 11.55% and 6.73%. Multivariate COX regression analysis demonstrated a significant negative correlation between CKMI index and the risk of hospital death [HR, 0.26 (95% CI 0.07-0.93), P = 0.038] and ICU mortality [HR, 0.13 (95% CI 0.03-0.67), P = 0.014].RCS regression model revealed that in-hospital mortality (P-value =0.015, P-Nonlinear =0.459) and ICU mortality (P-value =0.029, P-Nonlinear =0.432) increased linearly with increasing CKMI index. Subgroup analysis confirmed consistent effect size and direction across different subgroups, ensuring stable results.
Conclusion: Our research findings suggest that a higher CKMI index is associated with a significant reduction in both in-hospital and ICU mortality among critically ill patients. Therefore, CKMI index emerges as a highly valuable prognostic indicator for predicting the risk of in-hospital death in this population. However, to strengthen the validity of these results, further validation through larger-scale prospective studies is imperative.
期刊介绍:
Frontiers? Which frontiers? Where exactly are the frontiers of cardiovascular medicine? And who should be defining these frontiers?
At Frontiers in Cardiovascular Medicine we believe it is worth being curious to foresee and explore beyond the current frontiers. In other words, we would like, through the articles published by our community journal Frontiers in Cardiovascular Medicine, to anticipate the future of cardiovascular medicine, and thus better prevent cardiovascular disorders and improve therapeutic options and outcomes of our patients.