Application of a machine learning-driven, multibiomarker panel for prediction of incident cardiovascular events in patients with suspected myocardial infarction

2020 ◽  
Vol 14 (9) ◽  
pp. 775-784
Author(s):  
Johannes T Neumann ◽  
Nils A Sörensen ◽  
Tanja Zeller ◽  
Craig A Magaret ◽  
Grady Barnes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Myocardial Infarction ◽  
Clinical Trial ◽  
High Risk ◽  
Cardiovascular Events ◽  
Prognostic Value ◽  
Prognostic Score ◽  
Area Under The Curve ◽  
Major Adverse Cardiovascular Events ◽  
Clinical Trial Registration

Background: In patients with suspected myocardial infarction (MI), we sought to validate a machine learning-driven, multibiomarker panel for prediction of incident major adverse cardiovascular events (MACE). Methodology & results: A previously described prognostic panel for MACE consisting of four biomarkers was measured in 748 patients with suspected MI. The investigated end point was incident MACE within 1 year. The prognostic value of a continuous score and an optimal cut-off was investigated. The area under the curve was 0.86 for the overall model. Using the optimal cut-off resulted in a negative predictive value of 99.4% for incident MACE. Patients with an elevated prognostic score were at high risk for MACE. Conclusion: Among patients with suspected MI, we validated a multibiomarker panel for predicting 1-year MACE. Clinical Trial Registration: NCT02355457 (ClinicalTrials.gov)

scholarly journals Prognostic value of PCSK9 Levels in Non-ST elevation myocardial infarction patients undergoing percutaneous coronary intervention

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
J.-X Wang ◽  
P Han ◽  
M.-D Gao ◽  
J.-Y Xiao ◽  
X.-W Li ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Cardiovascular Events ◽  
Prognostic Value ◽  
St Elevation Myocardial Infarction ◽  
Major Adverse Cardiovascular Events ◽  
Distribution Width ◽  
St Elevation ◽  
Grace Score

Abstract Background The role of proprotein convertase subtilisin/kexin type 9 (PCSK9) in predicting major adverse cardiovascular events (MACEs) in Non-ST elevation myocardial infarction (NSTEMI) patients is still an open question and the PCSK9 concentration of clinical usefulness remains unknown in guiding treatment. Purpose To explore the role of PCSK9 in predicting major adverse cardiovascular events (MACEs) in Non-ST elevation myocardial infarction patients. Methods 272 patients with NSTEMI were included in our study, all patients received PCI therapy after admission. Patients were followed up for 1 year and MACEs were recored. Their baseline plasma PCSK9 levels were determined by ELISA. Patients were divided into high, medium and low PCSK9 groups and the associations of PCSK9 with other biomarkers and MACEs were evaluated. Results The results showed that PCSK9 levels was related to levels of lipoproteins, high-sensitivity C-reactive protein (r=0.162, P=0.008), platelet volume distribution width (r=0.299, P<0.001) and D-dimer (r=0.285, P<0.001). And the concentrations of PCSK9 was greater higher in people with MACEs (137.2ng/ml vs 243.6ng/ml) (Fig. 1A). The Kaplan-Meier curves showed patients with high PCSK9 level had lower event-free survival rate (Fig. 1B). Survival analysis indicated high level of PCSK9 predicted MACEs independently after adjusted for traditional cardiovascular risk factors and GRACE score (HR=2.646, 95CI%: 1.047–6.686, P=0.027) (Fig. 1C, Fig. 2). Subgroup analysis demonstrated the prognostic value of high PCSK9 level was greater for patients classified by the GRACE score as high risk (Fig. 1D). Conclusions In a NSTEMI setting, the concentration of PCSK9 is associated with hypercoagulability and hyper-inflammation. High levels of PCSK9 independently predict future MACEs in NSTEMI patients, particularly those classified by the GRACE score as high risk. FUNDunding Acknowledgement Type of funding sources: None.

Abstract P019: A Single Model For Predicting Major Adverse Cardiovascular Events In Individuals With And Without History Of Atherosclerotic Cardiovascular Disease: The Atherosclerosis Risk In Communities (aric) Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Yejin Mok ◽  
Lena Mathews ◽  
Ron C Hoogeveen ◽  
Michael J Blaha ◽  
Christie M Ballantyne ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Risk Stratification ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
Atherosclerotic Cardiovascular Disease ◽  
Single Model ◽  
History Of ◽  
Very High

Background: In the 2018 AHA/ACC Cholesterol guideline, risk stratification is an essential element. The use of a Pooled Cohort Equation (PCE) is recommended for individuals without atherosclerotic cardiovascular disease (ASCVD), and the new dichotomous classification of very high-risk vs. high-risk has been introduced for patients with ASCVD. These distinct risk stratification systems mainly rely on traditional risk factors, raising the possibility that a single model can predict major adverse cardiovascular events (MACEs) in persons with and without ASCVD. Methods: We studied 11,335 ARIC participants with (n=885) and without (n=10,450) a history of ASCVD (myocardial infarction, ischemic stroke, and symptomatic peripheral artery disease) at baseline (1996-98). We modeled factors in the PCE and the new classification for ASCVD patients (Figure legend) in a single CVD prediction model. We examined their associations with MACEs (myocardial infarction, stroke, and heart failure) using Cox models and evaluated the discrimination and calibration for a single model including those factors. Results: During a median follow-up of 18.4 years, there were 3,658 MACEs (3,105 in participants without ASCVD). In general, the factors in the PCE and the risk classification system for ASCVD patients were associated similarly with MACEs regardless of baseline ASCVD status, although age and systolic blood pressure showed significant interactions. A single model with these predictors and the relevant interaction terms showed good calibration and discrimination for those with and without ASCVD (c-statistic=0.729 and 0.704, respectively) (Figure). Conclusion: A single CVD prediction model performed well in persons with and without ASCVD. This approach will provide a specific predicted risk to ASCVD patients (instead of dichotomy of very high vs. high risk) and eliminate a practice gap between primary vs. secondary prevention due to different risk prediction tools.

scholarly journals Abnormal Glucose Tolerance in Prediabetes Patients with Acute Myocardial Infarction: Implications for Therapy

2021 ◽  
Vol 3 (1) ◽  
pp. 16-21
Author(s):  
Nitchakarn Laichuthai ◽  
Ralph A. DeFronzo
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
High Risk ◽  
Glucose Tolerance ◽  
Cardiovascular Events ◽  
Current Evidence ◽  
Major Adverse Cardiovascular Events ◽  
High Risk Population ◽  
Abnormal Glucose Tolerance ◽  
Glucagon Like Peptide 1

Newly discovered abnormal glucose tolerance is common in patients who present with acute myocardial infarction (MI). These individuals are at very high risk for recurrent major adverse cardiovascular events (MACE), cardiovascular (CV) mortality, and all-cause mortality compared to normal-glucose-tolerant individuals who present with acute MI. Early and aggressive intervention with lifestyle and pharmacologic treatment are essential for the prevention of prediabetes progression to diabetes and recurrent cardiovascular events in this high risk population. Management, both with regard to prevention of recurrent cardiovascular events and development of diabetes, has been poorly addressed in current cardiology and diabetes guidelines. In this article, we review current evidence regarding the use of glucagon-like peptide 1 receptor agonists (GLP-1 RAs), sodium glucose cotransporter 2 inhibitors (SGLT2i), and pioglitazone to prevent recurrent cardiovascular events and propose areas of research to be explored in the future.

scholarly journals Prognostic value of myocardial perfusion scintigraphy in asymptomatic patients with diabetes mellitus at high cardiovascular risk: 5-year follow-up of the prospective multicenter BARDOT trial

2021 ◽  
Author(s):  
Federico Caobelli ◽  
◽  
Philip Haaf ◽  
Gianluca Haenny ◽  
Matthias Pfisterer ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Myocardial Perfusion ◽  
Cardiovascular Events ◽  
Prognostic Value ◽  
Myocardial Perfusion Scintigraphy ◽  
Major Adverse Cardiovascular Events ◽  
Diabetic Patients ◽  
Perfusion Scintigraphy ◽  
High Cardiovascular Risk

Abstract Background The Basel Asymptomatic High-Risk Diabetics’ Outcome Trial (BARDOT) demonstrated that asymptomatic diabetic patients with an abnormal myocardial perfusion scintigraphy (MPS) were at increased risk of major adverse cardiovascular events (MACEs) at 2-year follow-up. It remains unclear whether this finding holds true even for a longer follow-up. Methods Four hundred patients with type 2 diabetes, neither history nor symptoms of coronary artery disease (CAD), were evaluated clinically and with MPS. Patients were followed up for 5 years. Major adverse cardiovascular events (MACEs) were defined as all-cause death, myocardial infarction, or late coronary revascularization. Results At baseline, an abnormal MPS (SSS ≥ 4 or SDS ≥ 2) was found in 87 of 400 patients (22%). MACE within 5 years occurred in 14 patients with abnormal MPS (16.1%) and in 22 with normal scan (1.7%), p = 0.009; 15 deaths were recorded. Patients with completely normal MPS (SSS and SDS = 0) had lower rates of MACEs than patients with abnormal scans (2.5% vs. 7.0%, p = 0.032). Patients with abnormal MPS who had undergone revascularization had a lower mortality rate and a better event-free survival from MI and revascularization than patients with abnormal MPS who had either undergone medical therapy only or could not be revascularized (p = 0.002). Conclusions MPS may have prognostic value in asymptomatic diabetic patients at high cardiovascular risk over a follow-up period of 5 years. Patients with completely normal MPS have a low event rate and may not need retesting within 5 years. Patients with an abnormal MPS have higher event rates and may benefit from a combined medical and revascularization approach.

scholarly journals EFFECTIVENESS OF TICAGRELOR COMPARED TO CLOPIDOGREL IN REDUCING THE RISK OF MAJOR ADVERSE CARDIOVASCULAR EVENTS IN PATIENTS WITH CORONARY HEART DISEASE AFTER PERCUTANEOUS CORONARY INTERVENTION

2017 ◽  
Vol 9 (9) ◽  
pp. 178 ◽  
Author(s):  
Hendra Wana Nur’amin ◽  
Iwan Dwiprahasto ◽  
Erna Kristin
Keyword(s):  
Myocardial Infarction ◽  
Coronary Heart Disease ◽  
Percutaneous Coronary Intervention ◽  
Heart Disease ◽  
Cardiovascular Events ◽  
Coronary Intervention ◽  
Population Based ◽  
Major Adverse Cardiovascular Events ◽  
Repeat Revascularization ◽  
Percutaneous Coronary

Objective: Antiplatelet therapy is recommended in patients with coronary heart disease (CHD) who had the percutaneous coronary intervention (PCI) procedure to reduce major adverse cardiovascular events (MACE). There has been a lack of population-based studies that showed the superior effectiveness of ticagrelor over clopidogrel and similar studies have not been conducted in Indonesia yet. The aim of the study was to investigate the effectiveness of ticagrelor compared to clopidogrel in reducing the risk of MACE in patients with CHD after PCI.Methods: A retrospective cohort study with 1-year follow-up was conducted. 361 patients consisted of 111 patients with ticagrelor exposure and 250 patients with clopidogrel exposure. The primary outcome was MACE, defined as a composite of repeat revascularization, myocardial infarction, or all-cause death. The association between antiplatelet exposure and the MACE was analyzed with Cox proportional hazard regression, adjusted for sex, age, comorbid, PCI procedures and concomitant therapy.Results: MACE occurred in 22.7% of the subjects. Clopidogrel had a significantly higher risk of MACE compared with ticagrelor (28.8%, vs 9.0%, hazard ratio (HR): 1.96 (95% CI 1.01 to 3.81, p=0.047). There were no significant differences in risk of repeat revascularization (20.40% vs 5.40%, HR: 2.32, 95% CI 0.99 to 5.42, p = 0.05), myocardial infarction (11.60% vs 3.60%, HR: 2.08, 95% CI, 0.73 to 5.93, p = 0.17), and death (1.60% vs 1.80%, HR: 0.77, 95% CI, 0.14 to 4.25, p = 0.77).Conclusion: Clopidogrel had a higher risk of MACE compared to clopidogrel in patients with CHD after PCI, but there were no significant differences in the risk of repeat revascularization, myocardial infarction, and all-cause death. 

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