scholarly journals Female sex impact on culprit plaque at optical coherence tomography analysis in the setting of acute coronary syndrome in OCT-FORMIDABLE registry

2020 ◽  
Vol 16 (2) ◽  
pp. 123-131
Author(s):  
Francesca Giordana ◽  
Daniele Errigo ◽  
Fabrizio D’Ascenzo ◽  
Antonio Montefusco ◽  
Roberto Garbo ◽  
...  

Aim: To evaluate sex difference in culprit plaque features at optical coherence tomography (OCT) and major adverse cardiovascular events at follow-up. Patients and methods: We analyse data from the OCT-FORMIDABLE (OCT-Features Of moRphology, coMposItion anD instABility of culprit and pLaquE in acute coronary syndrome [ACS] patients) registry. A total of 285 patients (20%, 58 females) were included. Results: Females with ST segment elevation myocardial infarction showed a longer ruptured area of the plaque (8.6 ± 7.6 vs 4.6 ± 5.4; p = 0.003) and a major necrotic core macrophage infiltration (43 vs 17%; p = 0.017). Females with non-ST segment elevation-ACS had less lipidic plaques (62 vs 80%; p = 0.04). No between-group sex differences in major adverse cardiovascular events emerged at follow-up (5 vs 9%; p = 0.88 in ST segment elevation myocardial infarction group and 19 vs 15%; p = 0.6 in non-ST segment elevation-ACS group). At multivariate analysis, female sex was not a major risk of plaque rupture (hazard ratio [HR]: 1.59, CI: 0.44–5.67; p = 0.48). Conclusion: Female sex seems to have no significant impact. ClincalTrial. gov registration number: NCT02486861.

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0249338
Author(s):  
Syed Waseem Abbas Sherazi ◽  
Jang-Whan Bae ◽  
Jong Yun Lee

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Enfa Zhao ◽  
Hang Xie ◽  
Yushun Zhang

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.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254008
Author(s):  
Pishoy Gouda ◽  
Anamaria Savu ◽  
Kevin R. Bainey ◽  
Padma Kaul ◽  
Robert C. Welsh

Estimates of the risk of recurrent cardiovascular events (residual risk) among patients with acute coronary syndromes have largely been based on clinical trial populations. Our objective was to estimate the residual risk associated with common comorbidities in a large, unselected, population-based cohort of acute coronary syndrome patients. 31,056 ACS patients (49.5%—non-ST segment elevation myocardial infarction [NSTEMI], 34.0%—ST segment elevation myocardial infarction [STEMI] and 16.5%—unstable angina [UA]) hospitalised in Alberta between April 2010 and March 2016 were included. The primary composite outcome was major adverse cardiovascular events (MACE) including: death, stroke or recurrent myocardial infarction. The secondary outcome was death from any cause. Cox-proportional hazard models were used to identify the impact of ACS type and commonly observed comorbidities (heart failure, hypertension, peripheral vascular disease, renal disease, cerebrovascular disease and diabetes). At 3.0 +/- 3.7 years, rates of MACE were highest in the NSTEMI population followed by STEMI and UA (3.58, 2.41 and 1.68 per 10,000 person years respectively). Mortality was also highest in the NSTEMI population followed by STEMI and UA (2.23, 1.38 and 0.95 per 10,000 person years respectively). Increased burden of comorbidities was associated with an increased risk of MACE, most prominently seen with heart failure (adjusted HR 1.83; 95% CI 1.73–1.93), renal disease (adjusted HR 1.52; 95% CI 1.40–1.65) and diabetes (adjusted HR 1.51; 95% CI 1.44–1.59). The cumulative presence of each of examined comorbidities was associated with an incremental increase in the rate of MACE ranging from 1.7 to 9.98 per 10,000 person years. Rates of secondary prevention medications at discharge were high including: statin (89.5%), angiotensin converting enzyme inhibitor/angiotensin receptor blocker (84.1%) and beta-blockers (85.9%). Residual cardiovascular risk following an acute coronary syndrome remains high despite advances in secondary prevention. A higher burden of comorbidities is associated with increased residual risk that may benefit from aggressive or novel therapies.


Medicina ◽  
2020 ◽  
Vol 56 (3) ◽  
pp. 102
Author(s):  
Mustafa Yurtdaş ◽  
Ramazan Asoğlu ◽  
Mahmut Özdemir ◽  
Emin Asoğlu

Background and Objectives: Little is known about the upfront two-stent strategy (U2SS) for true coronary bifurcation lesions (CBLs) in acute coronary syndrome (ACS). We aimed to present our two-year follow-up results on the U2SS by using different two-stent techniques for the true CBL with a large side branch (SB) in ACS patients, including unstable angina (UA), non-ST-segment elevation myocardial infarction (NSTEMI), and ST-segment elevation myocardial infarction (STEMI), and to identify independent predictors of the presence of major adverse cardiac events (MACEs) after intervention. Materials and Methods: The study included 201 consecutive ACS patients with true CBLs who underwent percutaneous coronary intervention (PCI) using U2SS from October 2015 to March 2018. Clinical outcomes at follow-up were assessed. MACE was defined as a composite of cardiac death, non-fatal myocardial infarction, and target lesion revascularization (TLR). Results: 31.3% of the patients had an UA, 46.3% had an NSTEMI, and 22.4% had an STEMI. CBL was most frequently located in the left anterior descending (LAD)/diagonal artery (59.2%). In total, 71.1% of the patients had a Medina classification (1,1,1). Overall, 62.2% of cases were treated with mini-crush stenting. Clopidogrel was given in 23.9% of the patients; 71.1% of the patients received everolimus eluting stent (EES); and 11.9% received a sirolimus eluting stent (SES). Final kissing balloon inflation was carried out in all patients, with an unsatisfactory rate of 5%. A proximal optimization technique sequence was successfully carried out in all patients. The MACE incidence was 16.9% with a median follow-up period of 2.1 years. There were seven cardiac deaths (3.5%). The TLR rate was 13.4% (n = 27), with PCI treatment in 16 patients, and coronary artery bypass grafting treatment in 11 patients. After multivariate penalized logistic regression analysis (Firth logistic regression), clopidogrel use (odds ratio (OR): 2.19; 95% confidence interval (CI): 0.41–2.51; p = 0.007) and SES use (OR: 1.86; 95% CI: 0.31–2.64; p = 0.014) were independent predictors of the presence of MACE. Conclusion: U2SS is feasible and safe for the true CBLs with large and diseased SB in ACS patients, and is related to a relatively low incidence of MACE. Clopidogrel use and SES use may predict the MACE development in ACS patients treated using U2SS.


2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
JULIO Echarte-Morales ◽  
ELENA Tundidor Sanz ◽  
E Martinez Gomez ◽  
PEDRO Cepas-Guillen ◽  
JAVIER Borrego Rodriguez ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Introduction  Nonagenarians have a high rate of comorbidities and are underrepresented in studies of ischemic heart disease. It is unknown whether treatment at discharge is useful in preventing adverse events at follow up.  Purpose  The aim of this study is to evaluate the secondary prevention with medical treatment in nonagenarians with acute myocardial infarction. Methods A multicenter, observational and retrospective study was carried out in nonagenarians admitted by acute coronary syndrome (ACS) between January 2005 and December 2018. Baseline characteristics, interventional procedures, treatment at discharge and outcomes at 1 year were evaluated. Patients with type 2 acute myocardial infarction were excluded.  Results  680 patients (92,6 ± 2,4 years old) were included. Hypertension was present in 79.4% of the entire population. Percutaneous coronary intervention (PCI) was performed in 32.1% of patients, and this group had a higher GRACE score compared to the conservative treatment group (177 versus 172; p = 0.001). Patients with ST-segment elevation myocardial infarction (STEMI) were more likely to receive an invasive strategy than the non-ST segment elevation myocardial infarction (NSTEMI) (61.5% versus 41.5%; p= 0.001). 263 patients died at 1 year follow up with in-hospital mortality of 17%. In STEMI group, patients with statins and dual antiplatelet therapy at discharge had lower mortality during follow up compared to those who did not received (26.7 % versus 41.5%; p = 0.001 and 31% versus 22%; p = 0.02, respectively) (Image 1).  Conclusions Nonagenarian patients with ACS have a high prevalence of hypertension and ICP procedures are not performed frequently. They also have a high mortality rate, although statins and dual antiplatelet therapy could be an effective secondary prevention. Abstract Figure.


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