a Department of Nephrology , The Affiliated Third Hospital of Soochow University , Changzhou , Jiangsu Province , China.
b Medical Record Room , The Affiliated Third Hospital of Soochow University , Changzhou , Jiangsu Province , China.
Ren Fail. 2018 Nov;40(1):75-84. doi: 10.1080/0886022X.2017.1419969.
Acute kidney injury (AKI) increases the risk of death following acute myocardial infarction (AMI). In this current study, we tried to understand the role of newly KDIGO defined AKI in AMI-induced early and late mortality.
We retrospectively analyzed the clinical data of AMI patients (totaling 1371 cases) from the hospital's computer database. And AKI was defined based on the KDIGO criteria but GFR or urinary output assessment was not used. Subsequently, we compared the association of AKI with 30-day and 30-day to 5-year all-cause mortality, using multivariate COX regression analysis with two models.
We observed the development of AKI in 410 (29.9%) patients during the hospital stay. The 30-day and 30-day to 5-year mortality rates were 5.6% and 11.3%, respectively, in 1371 AMI patients. Further, adjusted Cox regression analysis based on model 1 revealed that AKI severity was an independent risk factor of 30-day mortality, while AKI Stage 3 was an independent predictor of 30-day to 5-year mortality. Adjusted Cox regression analysis based on model 2 revealed that normal baseline renal function with AKI and impaired renal function with AKI were independent risk factors of 30-day mortality, while normal baseline renal function with AKI and impaired renal function with AKI were identified to be independent predictors of 30-day to 5-year mortality.
Whether the baseline renal function decreased or not, AKI strongly correlated with short- and long-term all-cause mortality in patients with AMI. Specifically, the short-term mortality of AMI patients increased with more severe AKI.
急性肾损伤(AKI)会增加急性心肌梗死(AMI)患者死亡的风险。在本研究中,我们试图了解新 KDIGO 定义的 AKI 在 AMI 诱导的早期和晚期死亡率中的作用。
我们回顾性分析了医院计算机数据库中 AMI 患者(共 1371 例)的临床数据。根据 KDIGO 标准定义 AKI,但不使用 GFR 或尿量评估。随后,我们使用两种模型的多变量 COX 回归分析比较了 AKI 与 30 天和 30 天至 5 年全因死亡率的关系。
我们观察到在住院期间 410(29.9%)例患者发生 AKI。在 1371 例 AMI 患者中,30 天和 30 天至 5 年的死亡率分别为 5.6%和 11.3%。进一步,基于模型 1 的调整 Cox 回归分析显示,AKI 严重程度是 30 天死亡率的独立危险因素,而 AKI 3 期是 30 天至 5 年死亡率的独立预测因素。基于模型 2 的调整 Cox 回归分析显示,基线肾功能正常伴 AKI 和基线肾功能异常伴 AKI 是 30 天死亡率的独立危险因素,而基线肾功能正常伴 AKI 和基线肾功能异常伴 AKI 是 30 天至 5 年死亡率的独立预测因素。
无论基线肾功能是否下降,AKI 与 AMI 患者的短期和长期全因死亡率密切相关。具体而言,AMI 患者的短期死亡率随着 AKI 的严重程度增加而增加。