Significance of fragmented QRS and predictors of outcome in ST-elevation myocardial infarction.

Background: Fragmented QRS (fQRS) might be associated with certain characteristics in ST-elevation myocardial infarction (STEMI) patients and inhospital adverse events. Materials and Methods: A sum of 500 patients were gone over retrospectively. Patients with STEMI, all undergone percutaneous coronary intervention, were grouped as fQRS (-) and fQRS (+). Characteristics of the patients, major adverse cardiac event (MACE), death in hospital, nonfatal myocardial infarction (MI), stent thrombosis, slow flow myocardial perfusion, development of ventricular tachycardia (VT) and fibrillation, cardiogenic shock and cardiopulmonary arrest were filtered. Results: FQRS (-) group was composed of 207 patients whose mean age was 61.1 ± 12.1, whereas 293 patients were there in fQRS (+) with a mean age of 66.7 ± 10.6 (P < 0.001). Thrombolysis in MI (TIMI) (P < 0.01), the global registry of acute coronary events (GRACE) (P < 0.01) scores, white blood cell count, neutrophil/lymphocyte ratio, MACE and the ratio of death in hospital and VT in the hospital were significantly higher in fQRS (+) group (P < 0.001, for remaining all). In multivariate logistic regression analysis, TIMI scores above 2 and GRACE scores above 109 were determined as independent predictors of MACE in the entire patient group (odds ratio [OR]: 2.022; 95% confidence interval [CI]; 1.321-3.424, P = 0.003; OR: 1.712; 95% CI: 1.156-2.804, P = 0.008). Conclusion: FQRS (+) and fQRS (-) patients markedly differ from each other in terms of certain demographic and clinical features and TIMI and GRACE scores have a significant predictive value for MACE in all STEMI patients' group.

Favorable factors for the survival of ST-segment elevation myocardial infarction patients with medium- and high-risk thrombolysis in myocardial infarction scores.

OBJECTIVE: ST-segment myocardial infarction (STEMI) is a time-sensitive emergency. This study screened the favorable factors for the survival of STEMI patients with medium- and high-risk thrombolysis in myocardial infarction (TIMI) scores. METHODS: According to the TIMI scores at admission, 433 STEMI patients were retrospectively and consecutively selected and allocated into low-/medium-/high-risk groups, with their general information/blood routine/biochemical indicators/coagulation indicators documented. The factors influencing the in-hospital survival of STEMI patients were analyzed using univariate and multivariate logistic regression analyses. Moreover, the predictive value of favorable factors was analyzed by receiver operating characteristics (ROC) curve, and patients were assigned into high/low level groups based on the cut-off value of these factors, with their in-hospital survival rates compared. RESULTS: The in-hospital survival rate of the medium-/high-risk groups was lower than that of the low-risk group. Emergency percutaneous coronary intervention (PCI), lymphocyte (LYM), total protein (TP), albumin (ALB), and sodium (Na) were independent favorable factors for in-hospital survival in the medium-/high-risk groups. Besides, LYM > 1.275 × 109/L, TP > 60.25 g/L, ALB > 34.55 g/L, and Na > 137.9 mmo1/L had auxiliary predictive value for the survival of STEMI patients with medium-/high-risk TIMI scores. Patients with high levels of LYM, TP, ALB, and Na exhibited higher in-hospital survival rates than patients with low levels. CONCLUSION: For STEMI patients with medium- and high-risk TIMI scores, accepting emergency PCI and normal levels of LYM, TP, ALB, and Na were more conducive to in-hospital survival.

Is the thrombolysis in myocardial infarction (TIMI) score a reliable source in a rural hospital for the management of unstable angina/non-ST elevated myocardial infarctions (UA/NSTEMI)?

Background: The Thrombolysis in Myocardial Infarction (TIMI) score is considered a method for early risk stratification in patients with unstable angina/non-ST elevated myocardial infarctions (UA/NSTEMI). It is composed of seven factors and if present, each factor contributes a value of one point toward the TIMI risk score, making it a simple tool that does not require differential weights for each factor. A higher score implies a higher likelihood of adverse cardiac events and/or risk of mortality. A TIMI risk score ≥3 recommends early invasive management with cardiac angiography and revascularization. As per CDC study in 2014, Americans living in rural areas are more likely to die from leading causes such as cardiovascular diseases. An estimated number 25,000 deaths than their urban counterparts, which coincide with a TIMI risk score of ≥3, potentially limit the utility of the TIMI risk score in risk stratification in rural catherization laboratories. The objective of this study was to assess the reliability of TIMI score as early risk stratification in patients with unstable angina/non-ST elevated myocardial infarctions (UA/NSTEMI) in rural hospital. Methods: A retrospective chart review study in a rural hospital was conducted for subjects that received left heart catheterizations, exercise stress tests, or chemical stress tests for a diagnosis of UA/NSTEMI. A total of 399 subjects who underwent left heart catheterization and/or stress testing were recruited for this study. A total of 153 subjects who were transferred out to a larger facility, transitioned to comfort care, refused intervention, or passed away were excluded from the study. The 246 remaining subjects were classified into two groups, those with TIMI 0-2 compared with those having TIMI ≥ 3. A null hypothesis was postulated that there was no significant difference between the two groups with regard to prevalence of either positive stress test or evidence of obstructive coronary disease following coronary angiography. T-test and Wilcoxon rank-sum analysis were performed through SPSS statistical analysis. Results: Formal statistical analysis using T-test as well as Wilcoxon rank-sum test comparing the two groups showed p = 0.34 for T-test and p = 0.60 for Wilcoxon rank-sum test. This is consistent with the postulated null hypothesis: that there is no significant difference between the two surgery groups with respect to the mean/median TIMI score. Conclusion: There was no statistical difference between high and low TIMI score in the intervention of unstable angina/non-ST elevated myocardial infarctions (UA/NSTEMI) in a rural hospital.

Increased monocyte to high-density lipoprotein cholesterol ratio is associated with TIMI risk score in patients with ST-segment elevation myocardial infarction.

INTRODUCTION AND AIM: The monocyte to high-density lipoprotein cholesterol ratio (MHR) has recently been proposed as a new predictor and prognostic indicator in cardiovascular disease. The TIMI risk score predicts short-term mortality in ST-elevation myocardial infarction (STEMI) patients. However, there have been no studies regarding the association between MHR and TIMI score in patients with STEMI. METHODS: A total of 161 patients admitted to our hospital were prospectively enrolled between January 2014 and June 2016. Of these, 111 consecutive patients with a diagnosis of STEMI who underwent primary percutaneous coronary intervention (PCI) were selected as the STEMI group, and the remaining 50 patients, who had angiographically normal coronary arteries, were selected as the control group. The 111 STEMI patients were then divided into two subgroups based on TIMI scores. RESULTS: MHR was significantly higher in the STEMI group than in the control group (1.71±0.47 vs. 2.21±0.98, p=0.001) and was significantly higher in the high TIMI score group than in the low TIMI score group (1.80±0.59 vs. 2.42±1.09, p=0.001). In multivariate logistic regression analysis, MHR was the only independent predictor of acute STEMI and high TIMI score. In correlation analysis, there was a significant positive correlation between MHR and TIMI score in STEMI patients (r=0.479, p<0.001). The cutoff value of MHR for high TIMI score in patients with STEMI was 2.409, with a sensitivity of 43.06% and a specificity of 87.18% (AUC 0.669; 95% CI 0.569-0.8769; p=0.003) on ROC curve analysis. CONCLUSION: This study indicates that MHR is independently and significantly associated with TIMI score in patients with STEMI. MHR is a novel inflammation-based marker and may be an independent predictor of future cardiovascular events in patients with STEMI.

Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs.

Despite uncertain yield, guidelines endorse routine stress myocardial perfusion imaging (MPI) for patients with suspected acute coronary syndromes, unremarkable serial electrocardiograms, and negative troponin measurements. In these patients, outcome prediction and risk stratification models could spare unnecessary testing. This study therefore investigated the use of artificial neural networks (ANN) to improve risk stratification and prediction of MPI and angiographic results. We retrospectively identified 5354 consecutive patients referred from the emergency department for rest-stress MPI after serial negative troponins and normal ECGs. Patients were risk stratified according to thrombolysis in myocardial infarction (TIMI) scores, ischemia was defined as >5 % reversible perfusion defect, and obstructive coronary artery disease was defined as >50 % angiographic obstruction. For ANN, the network architecture employed a systematic method where the number of neurons is changed incrementally, and bootstrapping was performed to evaluate the accuracy of the models. Compared to TIMI scores, ANN models provided improved discriminatory power. With regards to MPI, an ANN model could reduce testing by 59 % and maintain a 96 % negative predictive value (NPV) for ruling out ischemia. Application of an ANN model could also avoid 73 % of invasive coronary angiograms while maintaining a 98 % NPV for detecting obstructive CAD. An online calculator for clinical use was created using these models. The ANN models improved risk stratification when compared to the TIMI score. Our calculator could also reduce downstream testing while maintaining an excellent NPV, though further study is needed before the calculator can be used clinically.