scholarly journals Correlation of the ORBIT Score With 30-Day Mortality in Patients With ST-Segment Elevation Myocardial Infarction

2020 ◽  
Vol 26 ◽  
pp. 107602962094004
Author(s):  
Jun-Hua Shen ◽  
Hui-Min Wang ◽  
Kou-Long Zheng ◽  
Hui-He Lu ◽  
Qing Zhang
Keyword(s):  
Myocardial Infarction ◽  
Proportional Hazards ◽  
Bleeding Risk ◽  
Cox Proportional Hazards ◽  
Survival Group ◽  
Predictive Values ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment

A new scoring system Outcomes Registry for Better Informed Treatment (ORBIT) score is used to assess the bleeding risk in anticoagulated patients with atrial fibrillation (AF). Our aim is to investigate the possible correlations of the ORBIT score with 30-day mortality in patients with ST-segment elevation myocardial infarction (STEMI). A total of 639 patients with STEMI were enrolled in this study. The ORBIT, HAS-BLED, and TIMI scores were recorded during admission. After 30 days’ follow-up, 639 patients were divided into 2 groups: the survival group and the nonsurvival group. Different clinical parameters were compared. The predictive values of the ORBIT, HAS-BLED, and TIMI scores for 30-day mortality were assessed from receiver operating characteristic (ROC) analyses. The univariate and multivariate Cox proportional hazards analyses were applied to evaluate the relationships between variables and 30-day mortality. Sixty-seven deaths occurred after a 30-day follow-up. The ORBIT, HAS-BLED, and TIMI scores in the death group were higher than those in the survival group ( P < .05). The areas under the ROC curve for the ORBIT, HAS-BLED, and TIMI scores to predict the occurrence of 30-day mortality were 0.811 (95% CI: 0.779-0.841, P < .0001), 0.717 (95% CI: 0.680-0.752, P < .0001), and 0.844 (95% CI: 0.813-0.871, P < .0001), respectively. In multivariate Cox proportional hazards modeling, the high ORBIT score was positively associated with 30-day mortality (hazard ratio: 1.309, 95% CI: 1.101-1.556, P = .013) after adjustment. A graded relation is found in the elevated ORBIT score and 30-day mortality in patients with STEMI. Thus, the ORBIT score can be an independent predictor of 30-day mortality in patients with STEMI.

10-Year Follow-Up of Patients With Everolimus-Eluting Versus Bare-Metal Stents After ST-Segment Elevation Myocardial Infarction

2021 ◽  
Vol 77 (9) ◽  
pp. 1165-1178 ◽  
Author(s):  
Salvatore Brugaletta ◽  
Josep Gomez-Lara ◽  
Luis Ortega-Paz ◽  
Victor Jimenez-Diaz ◽  
Marcelo Jimenez ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Bare Metal Stents ◽  
Metal Stents ◽  
Bare Metal ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment

scholarly journals Two-year clinical performance of Absorb BVS compared to Xience EES in ST-segment elevation myocardial infarction: a pooled analysis of AIDA and COMPARE-ABSORB trials

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L.S.M Kerkmeijer ◽  
G Chao ◽  
R Tijssen ◽  
T Gori ◽  
R.P Kraak ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Target Lesion ◽  
Pooled Analysis ◽  
St Segment Elevation ◽  
Patient Level ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment ◽  
Absorb Bvs ◽  
Target Lesion Failure

Abstract Introduction Bioresorbable vascular scaffolds (BVS) use appears theoretically attractive in patients presenting with ST-segment elevation myocardial infarction (STEMI) as acute lesions are generally composed of soft plaques, in which optimal BVS deployment and expansion is easier to achieve. Furthermore, those patients are generally younger and would benefit longer from the promise of vascular restoration therapy. Purpose In this patient level pooled analysis of two clinical trials, we evaluated the clinical outcomes of Absorb BVS versus Xience everolimus-eluting stent (EES) in STEMI patients at 2-year follow-up. Methods We performed an individual patient-level pooled analysis of the AIDA and COMPARE-ABSORB trials in which 3515 patient were randomly assigned to Absorb BVS (n=1772) or Xience EES (n=1743). Clinical outcomes in STEMI patients were analyzed by randomized treatment assignment cumulative through 2 years. The primary efficacy outcomes measure was target lesion failure (cardiac death, target-vessel myocardial infarction or target lesion revascularization), and the primary safety outcome measure was device thrombosis at 2-year follow-up. Results 350 (19.8%) STEMI patients were allocated to Absorb BVS versus 328 (18.8%) to Xience EES. The mean age of patient presenting with STEMI was 60 years old, 76.0% were males and 15.3% had diabetes mellitus. At 2-years target lesion failure occurred in 8.4% of BVS STEMI patients and 6.2% of EES STEMI patients (p=0.253). The 2-year rates of cardiac death (2.6% vs 1.6%, p=0.332), TV-MI (4.7% vs 2.5%) and TLR (6.8% vs 4.1%) were not significantly different. The 2-year incidence of definite device thrombosis was 4.7% in Absorb BVS versus 1.8% in Xience EES (p=0.045). Conclusion In the present patient-level pooled analysis of the AIDA and COMPARE-Absorb trials, BVS was associated with increased rates of device thrombosis in STEMI patients compared to Xience EES. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Abbott

scholarly journals Effect of PCSK9 E670G and R46L Polymorphisms on Major Adverse Cardio-Cerebrovascular Events in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

2021 ◽  
Author(s):  
Anwar Santoso ◽  
Yulianto Yulianto ◽  
Hendra Simarmata ◽  
Abhirama Nofandra Putra ◽  
Erlin Listiyaningsih
Keyword(s):  
Myocardial Infarction ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
St Segment Elevation ◽  
Coronary Syndrome ◽  
Segment Elevation Myocardial Infarction ◽  
Cerebrovascular Events ◽  
St Segment ◽  
Significant Difference

AbstractMajor adverse cardio-cerebrovascular events (MACCE) in ST-segment elevation myocardial infarction (STEMI) are still high, although there have been advances in pharmacology and interventional procedures. Proprotein convertase subtilisin/Kexin type 9 (PCSK9) is a serine protease regulating lipid metabolism associated with inflammation in acute coronary syndrome. The MACCE is possibly related to polymorphisms in PCSK9. A prospective cohort observational study was designed to confirm the association between polymorphism of E670G and R46L in the PCSK9 gene with MACCE in STEMI. The Cox proportional hazards model and Spearman correlation were utilized in the study. The Genotyping of PCSK9 and ELISA was assayed.Sixty-five of 423 STEMI patients experienced MACCE in 6 months. The E670G polymorphism in PCSK9 was associated with MACCE (hazard ratio = 45.40; 95% confidence interval: 5.30–390.30; p = 0.00). There was a significant difference of PCSK9 plasma levels in patients with previous statin consumption (310 [220–1,220] pg/mL) versus those free of any statins (280 [190–1,520] pg/mL) (p = 0.001).E670G polymorphism of PCSK9 was associated with MACCE in STEMI within a 6-month follow-up. The plasma PCSK9 level was higher in statin users.

scholarly journals A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndrome

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0249338
Author(s):  
Syed Waseem Abbas Sherazi ◽  
Jang-Whan Bae ◽  
Jong Yun Lee
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Events ◽  
Ensemble Classifier ◽  
Major Adverse Cardiovascular Events ◽  
Test Dataset ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
Complete Dataset ◽  
St Segment

Objective Some researchers have studied about early prediction and diagnosis of major adverse cardiovascular events (MACE), but their accuracies were not high. Therefore, this paper proposes a soft voting ensemble classifier (SVE) using machine learning (ML) algorithms. Methods We used the Korea Acute Myocardial Infarction Registry dataset and selected 11,189 subjects among 13,104 with the 2-year follow-up. It was subdivided into two groups (ST-segment elevation myocardial infarction (STEMI), non ST-segment elevation myocardial infarction NSTEMI), and then subdivided into training (70%) and test dataset (30%). Third, we selected the ranges of hyper-parameters to find the best prediction model from random forest (RF), extra tree (ET), gradient boosting machine (GBM), and SVE. We generated each ML-based model with the best hyper-parameters, evaluated by 5-fold stratified cross-validation, and then verified by test dataset. Lastly, we compared the performance in the area under the ROC curve (AUC), accuracy, precision, recall, and F-score. Results The accuracies for RF, ET, GBM, and SVE were (88.85%, 88.94%, 87.84%, 90.93%) for complete dataset, (84.81%, 85.00%, 83.70%, 89.07%) STEMI, (88.81%, 88.05%, 91.23%, 91.38%) NSTEMI. The AUC values in RF were (98.96%, 98.15%, 98.81%), ET (99.54%, 99.02%, 99.00%), GBM (98.92%, 99.33%, 99.41%), and SVE (99.61%, 99.49%, 99.42%) for complete dataset, STEMI, and NSTEMI, respectively. Consequently, the accuracy and AUC in SVE outperformed other ML models. Conclusions The performance of our SVE was significantly higher than other machine learning models (RF, ET, GBM) and its major prognostic factors were different. This paper will lead to the development of early risk prediction and diagnosis tool of MACE in ACS patients.

scholarly journals A Nomogram Based on Apelin-12 for the Prediction of Major Adverse Cardiovascular Events after Percutaneous Coronary Intervention among Patients with ST-Segment Elevation Myocardial Infarction

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Enfa Zhao ◽  
Hang Xie ◽  
Yushun Zhang
Keyword(s):  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Cardiovascular Events ◽  
Coronary Intervention ◽  
Cox Proportional Hazards ◽  
Major Adverse Cardiovascular Events ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment ◽  
Percutaneous Coronary

Objective. This study aimed to establish a clinical prognostic nomogram for predicting major adverse cardiovascular events (MACEs) after primary percutaneous coronary intervention (PCI) among patients with ST-segment elevation myocardial infarction (STEMI). Methods. Information on 464 patients with STEMI who performed PCI procedures was included. After removing patients with incomplete clinical information, a total of 460 patients followed for 2.5 years were randomly divided into evaluation (n = 324) and validation (n = 136) cohorts. A multivariate Cox proportional hazards regression model was used to identify the significant factors associated with MACEs in the evaluation cohort, and then they were incorporated into the nomogram. The performance of the nomogram was evaluated by the discrimination, calibration, and clinical usefulness. Results. Apelin-12 change rate, apelin-12 level, age, pathological Q wave, myocardial infarction history, anterior wall myocardial infarction, Killip’s classification > I, uric acid, total cholesterol, cTnI, and the left atrial diameter were independently associated with MACEs (all P<0.05). After incorporating these 11 factors, the nomogram achieved good concordance indexes of 0.758 (95%CI = 0.707–0.809) and 0.763 (95%CI = 0.689–0.837) in predicting MACEs in the evaluation and validation cohorts, respectively, and had well-fitted calibration curves. The decision curve analysis (DCA) revealed that the nomogram was clinically useful. Conclusions. We established and validated a novel nomogram that can provide individual prediction of MACEs for patients with STEMI after PCI procedures in a Chinese population. This practical prognostic nomogram may help clinicians in decision making and enable a more accurate risk assessment.

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