High Killips Class as a Predictor of New-onset Atrial Fibrillation Following Acute Myocardial Infarction

Abstract

Background:Recent observational studies have shown that patients with higher Killips score (>I) have higher risk of new-onset atrial fibrillation (NOAF) following acute myocardial infarction (AMI), while others drew a neutral conclusion. The ultimate predictive value of high Killips class on NOAF remained obscure.Methods:PubMed, Web of Science, China National Knowledge Infrastructure, and the Cochrane Controlled Trials Register Databases were searched until February 2015. Of the 3732 initially identified studies, 5 observational studies with 10,053 patients were analyzed.Results:The meta-analysis of these studies showed that higher Killips score on admission was associated with higher incidence of NOAF following AMI (odds ratio = 2.29, 95% confidence interval 1.96–2.67, P < 0.00001), while no significant differences exist among individual trials (P = 0.14 and I2 = 43%).Conclusions:Killips class >I was associated with the higher opportunity of developing NOAF following AMI.

Serum fibrinogen-to-albumin ratio predicts new-onset atrial fibrillation risk during hospitalization in patients with acute myocardial infarction after percutaneous coronary intervention: a retrospective study

“…NOAF is a common outcome in patients with AMI after PCI. In our present study, we found that 7.9% of patients experienced AF during hospitalization, and this is consistent with previous studies [ 21 ].…”

“…Killip grading is a simple clinical tool used to assess the severity of heart failure in patients with AMI. A meta-analysis indicated that a higher Killip class after AMI has a strong predictive value for NOAF [ 21 ]. In our study, we found that patients in the NOAF group had a higher Killip class, larger left atrium, and lower ejection fraction.…”

Atrial cardiomyopathy markers and new-onset atrial fibrillation risk in patients with acute myocardial infarction

“…Binary logistic regression models were used to calculate the odds ratios (OR) and 95% confidence interval (CIs) for NOAF according to tertiles of PTFV1, LAD, and BNP, with the lowest tertile serving as the reference category. To account for potential confounding effects, we adjusted for known variables associated with NOAF or p value of <0.05 in the univariate logistic analyses including age, sex, estimated glomerular filtration rate(eGFR), smoking, drinking, hypertension(HTN), diabetes mellitus(DM), congestive heart failure (CHF), KILLIP>1, heart rate(HR) at admission, left ventricular ejection fraction(LVEF), prior myocardial infarction(MI), prior stroke, out-ofhospital cardiac arrest(OHCA), total cholesterol(TC), triglyceride(TG) and percutaneous coronary intervention(PCI) treatment [16][17][18]. Receiver operating characteristic (ROC) curve analysis was used to investigate the optimal cutoff values via the maximal Youden index (sensitivity+specificity-1).…”

Predictors of Early and Late New-Onset Atrial Fibrillation in the Course of Acute Myocardial Infarction

“…Predictors of this arrhythmia was evaluated by several studies. [2][3][4] Shiyovich et al categorized new-onset AF as early and late. They reported the predictors according to this categorization.…”