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The CHA₂DS₂-VASc (congestive heart failure, hypertension, age, diabetes mellitus, stroke, vascular disease, sex) scoring system, which includes conventional risk factors of coronary artery disease, was originally created to quantify the risk of thromboembolism in patients with atrial fibrillation. This study evaluated the usefulness of this score to predict adverse outcomes in STEMI (ST-elevation myocardial infarction) patients without atrial fibrillation. Primary end points were identified as MACE (major adverse cardiovascular events) which included in-hospital death or cerebrovascular accident. MACE rate was 10% (193 patients). The CHA₂DS₂-VASc score was an independent predictor of MACE (95% CI, 2.31 [1.37-3.9]; P = .0016). Other independent predictors of MACE included heart rate (95% CI, 1.56 [0.97-2.50]; P = .0242), admission Killip class (95% CI, 24.19 [10.74-54.46]; P < .0001), admission creatinine level (95% CI, 1.54 [1.10-2.16]; P = .0024), peak CK-MB level (95% CI, 1.63 [0.98-2.70]; P = .0001), and no-reflow (95% CI, 2.45 [1.25-4.80]; P = .0085). A nomogram was developed to estimate the risk of in-hospital adverse outcomes for STEMI patients. The CHA₂DS₂-VASc score was an independent predictor of MACE in STEMI patients. Linear analysis of CHA₂DS₂-VASc score without dichotomization was the main difference of this study from others., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

We assessed the ability of predicting mortality and total in-hospital bleeding and adverse outcomes by the Academic Research Consortium High Bleeding Risk (ARC-HBR) criteria in ST-segment elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (pPCI). A total of 1441 STEMI patients were recruited: HBR group 354 (25%) patients and non-HBR group of 1087 (75%) patients. A total of 131 patients (9%) had a bleeding complication during hospitalization. The bleeding complications were also categorized according to other conventional bleeding scores. According to these conventional scores, all bleeding categories were associated with HBR. In univariate logistic regression analysis, female gender, diabetes mellitus, hypertension (HT) and HBR were associated with in-hospital bleeding. However, in multivariable analysis only HT (Odds Ratio [OR] 1.528, 95% CI 1.020-2.290; P = .040) and HBR (OR 1.612, 95% CI 1.075-2.428; P = .022) independently predicted total in-hospital bleeding complications. Hospital duration was longer and mortality rate was significantly higher in patients with HBR (OR 8.755, 95% CI 5.864-13.074; P < .01). The ARC-HBR criteria may predict in-hospital bleeding events and adverse outcomes in STEMI patients undergoing pPCI., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Stent under-expansion is a predictor of restenosis and stent thrombosis. It remains uncertain whether enhanced stent imaging (ESI) (CLEARstent) guidance can improve stent under-expansion. Our aim was to assess the effect of using ESI on stent under-expansion, after percutaneous coronary intervention (PCI) in a single center, cross-sectional observational study. Participants attending our cardiology clinic with stable angina or acute coronary syndrome, from March to September 2020 were recruited. A total of 164 patients who underwent post-PCI ESI (CLEARstent) were compared with 77 age- and sex-matched control patients. Post-procedural minimal lumen diameter (MLD) was calculated. The patients in the ESI-guided PCI group, had a median age of 61 (54-69 IQR 25-75) years and 76.8% (n = 126) were males. The patients in ESI-guided PCI group had a greater minimal lumen diameter compared with the X-ray guided PCI group (βeta coefficient:2.88 (95% CI:2.58-2.99) vs βeta coefficient 2.55 (95% CI 2.34-2.63), P < .001). Our finding supports the use of the ESI system to optimize stent placement as expressed by the MLD., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Corrected thrombolysis in myocardial infarction frame count (cTFC) is an objective, simple, and reproducible method to assess coronary blood flow which is a surrogate for cardiovascular outcomes. It is important to learn which factors are associated with cTFC. The goal of this study was to determine predictive models for epicardial blood flow assessed by cTFC and develop a diagnostic predictive model that indicates the individualized assessment of epicardial blood flow prior to primary percutaneous coronary intervention. This is a retrospective study including 3205 patients with ST-segment elevation myocardial infarction who underwent pPCI. The primary outcome was cTFC. Multivariable linear regression analysis was performed. Subsequently, a nomogram was developed to predict cTFC according to the candidate predictors. Median age was 58; the number of male patients was 2381 (74.3%). Median value of cTFC was 22 and interquartile range (IQR): 16.5-28.0). Age, diabetes mellitus (DM), total ischemic time, systolic blood pressure (SBP), heart rate (HR), and history of statin use remained in both full and reduced models. Our model may potentially allow clinicians to identify patients at high risk for impaired epicardial perfusion.

In this study, we aimed to evaluate the predictive value of admission C-reactive protein/albumin ratio (CAR) for acute kidney injury (AKI) in cases with moderate to severe chronic kidney disease (CKD) not on dialysis who presented with non-ST-segment elevation myocardial infarction (NSTEMI) and underwent coronary angiography (CAG). This cross-sectional and observational study included 420 NSTEMI patients. The study population was categorized based on the CAR tertiles as groups T1, T2, and T3. The primary outcome of the study was AKI development; 92 (21.9%) cases developed AKI. The frequency of AKI was significantly higher in the T3 group compared with the T2 and T1 groups (34% vs 17% vs 14%, P < .001). Age, estimated glomerular filtration rate, contrast media volume, and CAR (odds ratio: 1.36; 95% CI: 1.17-1.57; P < .01) were significant predictors of AKI. In a receiver operating characteristic curve analysis, CAR levels >0.20 predicted AKI development with a sensitivity of 74% and a specificity of 45%. We observed that the CAR may be a promising inflammatory parameter for AKI in NSTEMI patients with moderate to severe CKD after CAG.

Objectives: The SYNTAX score (SXscore) has emerged as a reproducible angiographic tool to quantify the extent of coronary artery disease based on the location and complexity of each lesion. The aim of this study was to evaluate whether the SXscore is an independent predictor of long-term cardiovascular outcomes in patients treated with primary percutaneous coronary intervention (PCI) for acute ST-segment elevation myocardial infarction (STEMI)., Methods: A total of 2993 patients with acute STEMI who underwent primary PCI were stratified into the 4 groups according to the SXscore quartiles; quartile 1(Q1, SXscore ≤ 9, n = 819), Q2 (9 < SXscore < 16, n = 715), Q3 (16 ≤ SXscore < 20, n = 710), and Q4 (SXscore ≥ 20, n = 749)., Results: There were significant differences among the quartiles with respect to age, basal creatinine and glucose levels, and the incidences of diabetes mellitus, Killip ≥2, and anemia. From Q1 to Q4, there were increasing rates of culprit left anterior descending lesion (P < .001), multivessel disease (P < .001), chronic total occlusion (P < .001), and proximal lesion localization (P < .001). At long-term follow-up, all-cause mortality, nonfatal myocardial infarction, stroke, rehospitalization due to heart failure, and the need of revascularization were significantly more frequent among the patients in the highest SXscore quartile. In multivariate analysis, after including the SXscore as a numerical variable into the model, every point of increase was determined as an independent predictor for long-term mortality (hazard ratio [HR] 1.03, 95% confidence interval [CI] 1.01-1.05, P = .008) and for overall major adverse cardiac events (MACEs; HR 1.02, 95% CI 1.01-1.04, P < .001)., Conclusion: The SXscore is an independent predictor of both in-hospital and long-term mortality and MACE in patients with acute STEMI undergoing primary PCI., (© The Author(s) 2014.)

Non-ionic agents have pharmacological side effects, such as seizure, alteration of cerebral function, confusion, short-term memory loss, mental aberrations and ophthalmoplegia. In this report, we present two cases that developed contrast-induced encephalopathy following coronary angioplasty by the non-ionic contrast agent, iopromide (Ultravist(®)). As a result, we concluded that iopromide-induced encephalopathy may occur during angioplasty in patients with no particular predispositions. In addition to that, contrast-induced encephalopathy should be considered as a new-onset neurological disorder.