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Cardiovascular risk factors contribute differently to short-term prognosis of acute myocardial infarction (AMI); hypertension and diabetes increase adverse outcomes, whereas hyperlipidemia, smoking, and obesity seem to paradoxically decrease these in post-MI patients. We aimed to investigate whether a simple calculation of conventional risk factors, PARADOCS (Pressure of ARtery elevAtion, Diabetes, Obesity, Cholesterol, Smoking) score, would improve the ability to predict major adverse cardiac and cerebrovascular events (MACCEs) in post-MI patients. Between November 2011 and December 2015, 13,104 patients with diagnosis of AMI were analyzed in this study from Korean AMI Registry - National Institute of Health database. PARADOCS score was calculated as follows: (number of nonparadoxical risk factors - number of paradoxical risk factors) + 3 where nonparadoxical risk factors are hypertension and diabetes, and paradoxical risk factors are hyperlipidemia, smoking, and obesity. PARADOCS score was significantly greater in patients with 1-year MACCEs compared with those without MACCEs (3.43 ± 1.03 vs 2.88 ± 1.11, p <0.001). In Cox proportional hazards model, PARADOCS score was an independent predictor of 1-year MACCEs (hazards ratio 1.23, 95% confidence interval 1.16 to 1.30; p <0.001) after adjusting for confounding variables. In Kaplan-Meier survival curve, patients with greater PARADOCS score had worse clinical outcome. In conclusion, although it needs more validation, a simple calculation of risk factors, PARADOCS score, could provide useful prognostic information of MI patients to clinicians., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Compared with transradial intervention (TRI), it is unclear whether transfemoral intervention (TFI) with vascular closure device (VCD) improves major adverse cardiocerebrovascular events (MACCE) in patients with acute myocardial infarction (AMI). The aim of this study is to compare TRI versus TFI with or without VCD for reducing MACCEs. We examined 11,596 patients who underwent TRI or TFI from the Korean AMI Registry - National Institute of Health database. The MACCE at 1-year was defined as death, nonfatal MI, repeat revascularization, cerebrovascular accident, hospitalizations, and major bleedings. Because the patients were not randomly assigned to vascular access sites, propensity-score (PS) matching was performed. In the PS-matched cohorts, compared with TFI, TRI significantly reduced 1-year MACCEs (7.1% vs 10.1%; log-rank p < 0.001) through a reduction in major bleeding (0.6% vs 2.2%; p < 0.001). Compared with TRI, 1-year MACCEs (11.3% vs 7.9%, log-rank p < 0.001) and major bleedings (0.6% vs 2.2%; p < 0.001) were significantly greater in TFI without VCD, whereas TFI with VCD was comparable in 1-year MACCEs (7.5% vs 8.1%, log-rank p = 0.437) and major bleeding (0.7% vs 1.0%; p = 0.409). In conclusion, the use of VCD could be an alternative to avoid major bleeding and to improve clinical outcomes, particularly in high-risk patients who are not suitable for TRI., (Copyright © 2018. Published by Elsevier Inc.)

Few simple and effective tools are available for determining the prognosis of 30-day survivors after acute myocardial infarction. We aimed to assess whether the simple age, creatinine, and ejection fraction (ACEF) score could predict 1-year mortality of 12,000 post-myocardial infarction 30-day survivors who underwent percutaneous coronary intervention. The ACEF score was computed as follows: (age/ejection fraction)+1, if the serum creatinine was >2 mg/dl. Accuracy was defined through receiver-operating characteristics analysis and area under the curve (AUC) evaluation. Twelve risk factors were selected and ranked according to their AUC value. Age, ejection fraction, and serum creatinine levels indicated the best AUC value. The ACEF score was significantly higher in the nonsurvivors (1.95±0.82 vs 1.28±0.50; p<0.001) and was an independent predictor of 1-year mortality (adjusted hazard ratio 2.26; p<0.001). The best accuracy was achieved by a prediction model including 12 risk factors (AUC=0.80), but this did not significantly differ compared with the AUC (0.79) of the ACEF score (p=ns). Adjusted hazard ratios for 1-year mortality were 1 (reference), 3.11 (p<0.001), and 10.38 (p<0.001) for the ACEFLOW (ACEF score<1.0), ACEFMID (ACEF score 1.0 to 1.39), and ACEFHIGH (ACEF score≥1.4) groups, respectively. The ACEF score may be a novel valid model to stratify the 1-year mortality risk in 30-day survivors who underwent percutaneous coronary intervention after acute myocardial infarction., (Copyright © 2015 Elsevier Inc. All rights reserved.)

The pattern and prognostic impact of "early" acute kidney injury (AKI) after primary percutaneous coronary intervention (PCI) in patients with ST-segment elevation myocardial infarction have not been well established. From November 2005 to November 2011, 971 post-myocardial infarction patients who underwent primary PCI were analyzed. Early AKI was defined using absolute change in serum creatinine (SCr; SCr <24 hours after primary PCI minus admission SCr) as follows: no early AKI (SCr change <0.3 mg/dl), mild early AKI (SCr change 0.3 to <0.5 mg/dl), moderate early AKI (SCr change 0.5 to <1.0 mg/dl), and severe early AKI (SCr change ≥1.0 mg/dl). One-year major adverse cardiac events were defined as death, nonfatal myocardial infarction, and revascularizations. Overall, 9.6% had early AKI, including 5.7% with mild, 2.5% with moderate, and 1.4% with severe early AKI. Diabetes mellitus (odds ratio 1.84, p = 0.042), the left ventricular ejection fraction (odds ratio 0.97, p = 0.042), and hemoglobin levels (odds ratio 0.84, p = 0.039) were independently associated with early AKI. Early AKI (adjusted hazard ratio 2.80, p = 0.005) was an independent predictor of 1-year major adverse cardiac events. The adjusted hazard ratios of 1-year major adverse cardiac events from the lowest (reference) to the highest quartile of early AKI were as follows: 1, 2.87 (p = 0.012), 3.22 (p = 0.021), and 5.83 (p = 0.004), respectively. In conclusion, early dynamic change in renal function after primary PCI can sensitively predict worse outcomes., (Copyright © 2014 Elsevier Inc. All rights reserved.)

The aim of this study was to investigate the value of a new Revised Cardiac Risk Index (RCRI) that includes consideration of QRS fragmentation (fQRS) as a predictor of cardiac events in patients undergoing noncardiac vascular surgery. Four hundred sixty-seven consecutive patients admitted for noncardiac vascular surgery were studied. Patients were allocated to RCRI 0, 1, 2, or ≥3 groups according to the sum of diabetes, renal insufficiency, and histories of ischemic heart disease, congestive heart failure, and cerebrovascular disease. They were then reallocated to fragmented RCRI (fRCRI) 0, 1, 2, or ≥3 groups after including a score of 1 or 0 corresponding to the presence or absence of fQRS. A major adverse cardiac event (MACE) was defined as a composite of death, myocardial infarction, congestive heart failure, and percutaneous coronary intervention before noncardiac vascular surgery. During index hospitalization, MACE developed in 38 patients (8.1%). fQRS was present in 169 (36.2%), and it was significantly greater in patients with MACE than in those without MACE (63.2% vs 34.3%, p <0.001). The proportions of RCRI 0, 1, 2, and ≥3 were 46.9% (n = 219), 35.3% (n = 165), 12.4% (n = 58), and 5.4% (n = 25), respectively. When fRCRI data were included, 28 patients (48.3%) in RCRI 2 were reclassified as fRCRI ≥3. By multivariate logistic regression analysis, fRCRI (odds ratio 1.529, 95% confidence interval 1.035 to 2.258, p = 0.033) and a left ventricular ejection fraction <50% independently predicted in-hospital MACE. In conclusion, fRCRI is an independent predictor of in-hospital MACE in patients undergoing noncardiac vascular surgery., (Copyright © 2013. Published by Elsevier Inc.)