论文部分内容阅读
Background:Acute kidney injury (AKI) is a serious and fatal complication of acute myocardial infarction (AMI).It has high shortand long-term mortality rates and a poor prognosis but is potentially preventable.However,the current incidence,risk factors,and outcomes of AKI in the Chinese population are not well understood and would serve the first step to identify high-risk patients who could receive preventative care.Methods:The medical data of 1124 hospitalized patients diagnosed with AMI from October 2013 to September 2015 were reviewed.AKI was defined according to the 2012 Kidney Disease Improving Global Outcomes criteria.All the patients were divided into either the AKI group or the non-AKI group.A univariate comparison analysis was performed to identify possible risk factors associated with AKI.A multiple logistic regression analysis was used to identify the independent risk factors for AKI in patients with AMI.Results:Overall,the incidence of AKI was 26.0％.The mortality rate of the AKI group was 20.5 ％,and the mortality rate of the nonAKI group was 0.6％ (P ＜ 0.001).Logistic regression analysis showed that the independent risk factors for AKI in patients with AMI included:age (＞60 years old) (odds ratio [OR] 1.04,95％ confidence interval [CI] 1.02-1.05,P =0.000),hypertension (OR 2.51,95％ CI 1.62-3.87,P =0.000),chronic kidney disease (OR 3.52,95％ CI 2.01-6.16,P =0.000),Killip class ≥3 (OR 5.22,95％ CI 3.07-8.87,P =0.000),extensive anterior myocardial infarction (OR 3.02,95％ CI 1.85--4.93,P =0.000),use of furosemide (OR 1.02,95％ CI 1.02-1.03,P =0.000),non-use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker (OR 1.58,95％ CI 1.04-2.40,P =0.032).These factors provided an accurate tool to identify patients at high risk of developing AKI.Contusions:Approximately 26.0％ of patients undergoing AMI developed AKI,and the development of AKI was strongly correlated with in-hospital mortality.The risk factors for AKI in patients with AMI were determined to help identify high-risk patients and make appropriate clinical decisions.