Sheng Su, Likun Zhou, Le Li, Zhuxin Zhang, Yulong Xiong, Zhenhao Zhang, Zhao Hu, Yan Yao
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A multivariable logistic regression and a marginal effect analysis were used to evaluate the relationship between hematocrit and AKI.</p><p><strong>Results: </strong>In this study, a total of 9692 patients diagnosed with AMI were included, with 7712 patients in the discovery cohort and 1980 patients in the validation cohort. In the discovery cohort, hematocrit in 30-33%, 27-30% or <math><mo><</mo></math> 27% were independent risk factors for AKI in the multivariate logistic analysis, with odds ratio (OR) of 1.774 (95% confidence interval [CI]: 1.203-2.617, <i>p</i> = 0.004), 1.834 (95% CI: 1.136-2.961, <i>p</i> = 0.013) and 2.577 (95% CI: 1.510-4.397, <i>p</i> <math><mo><</mo></math> 0.001), respectively. Additionally, in the validation cohort, low hematocrit levels independently contributed to an increased risk of AKI among patients with AMI. During the analysis of marginal effects, a significant negative linear relationship between hematocrit levels and AKI was observed.</p><p><strong>Conclusions: </strong>Decreased hematocrit was an independent risk factor for AKI in patients with AMI. 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引用次数: 0
摘要
背景:血细胞比容是某些患者急性肾损伤(AKI)的独立危险因素,但在急性心肌梗死(AMI)患者中的影响尚不明确。我们旨在确定急性心肌梗死患者血细胞比容与急性肾损伤之间的关系:方法:分别从电子重症监护室数据库和重症监护医学信息市场 III 数据库中提取发现队列和验证队列的患者数据,以确定血细胞比容与 AKI 之间的关系。以正常血细胞比容为参照,根据初始血细胞比容值将患者分为五组。主要结果为住院期间的 AKI。采用多变量逻辑回归和边际效应分析来评估血细胞比容与 AKI 之间的关系:本研究共纳入 9692 例确诊为急性心肌梗死的患者,其中 7712 例患者为发现队列,1980 例患者为验证队列。在发现队列中,血细胞比容在 30-33%、27-30% 或 27% 是多变量逻辑分析中 AKI 的独立风险因素,其几率比(OR)分别为 1.774(95% 置信区间 [CI]:1.203-2.617,P = 0.004)、1.834(95% CI:1.136-2.961,P = 0.013)和 2.577(95% CI:1.510-4.397,P 0.001)。此外,在验证队列中,低血细胞比容水平是导致急性胰腺炎患者发生 AKI 风险增加的独立原因。在边际效应分析中,观察到血细胞比容水平与 AKI 之间存在显著的负线性关系:结论:血细胞比容降低是急性胰腺炎患者发生 AKI 的一个独立风险因素。结论:血细胞比容降低是急性心肌梗死患者发生 AKI 的独立风险因素,血细胞比容与 AKI 之间呈负线性关系。
Association between Hematocrit and Acute Kidney Injury in Patients with Acute Myocardial Infarction.
Backgrounds: Hematocrit is found an independent risk factor for acute kidney injury (AKI) in certain patients, but this effect in patients with acute myocardial infarction (AMI) is unclear. We aim to identify the relationship between hematocrit and AKI in patients with AMI.
Methods: The patient data for the discovery and validation cohorts were extracted from the electronic Intensive Care Unit database and the Medical Information Mart for Intensive Care III database, respectively, to identify the relationship between hematocrit and AKI. With normal hematocrit as the reference, patients were divided into five groups based on the initial hematocrit value. The primary outcome was AKI during hospitalization. A multivariable logistic regression and a marginal effect analysis were used to evaluate the relationship between hematocrit and AKI.
Results: In this study, a total of 9692 patients diagnosed with AMI were included, with 7712 patients in the discovery cohort and 1980 patients in the validation cohort. In the discovery cohort, hematocrit in 30-33%, 27-30% or 27% were independent risk factors for AKI in the multivariate logistic analysis, with odds ratio (OR) of 1.774 (95% confidence interval [CI]: 1.203-2.617, p = 0.004), 1.834 (95% CI: 1.136-2.961, p = 0.013) and 2.577 (95% CI: 1.510-4.397, p 0.001), respectively. Additionally, in the validation cohort, low hematocrit levels independently contributed to an increased risk of AKI among patients with AMI. During the analysis of marginal effects, a significant negative linear relationship between hematocrit levels and AKI was observed.
Conclusions: Decreased hematocrit was an independent risk factor for AKI in patients with AMI. The relationship between hematocrit and AKI was negative linear.
期刊介绍:
RCM is an international, peer-reviewed, open access journal. RCM publishes research articles, review papers and short communications on cardiovascular medicine as well as research on cardiovascular disease. We aim to provide a forum for publishing papers which explore the pathogenesis and promote the progression of cardiac and vascular diseases. We also seek to establish an interdisciplinary platform, focusing on translational issues, to facilitate the advancement of research, clinical treatment and diagnostic procedures. Heart surgery, cardiovascular imaging, risk factors and various clinical cardiac & vascular research will be considered.