2023 ESC Guidelines for the management of acute coronary syndromes

Evaluation of Age and Sex Differences in Contemporary versus High-Sensitivity Troponin I Measurement in Hospitalized Patients

Background: With the transition from the contemporary (cTnI) to high-sensitivity troponin assay (hs-cTnI), concerns have arisen regarding the diagnostic differences between these two assays due to analytical distinctions. This study aims to evaluate the age and sex differences between these two assays, as well as the differences resulting from using two different 99th percentile values of the high-sensitivity troponin assay. Method: A retrospective observational study was conducted at an academic medical center, encompassing a total of 449 lithium heparin plasma samples included in the dataset. Both contemporary and high-sensitivity troponin were simultaneously measured using Siemens ADVIA Centaur analyzers. Two sets of sex-specific 99th percentile URLs from the Siemens study (cutoff-1) and Universal Sample Bank data (cutoff-2) were used for the data analysis. Results: The use of cutoff-1 or cutoff-2 had a negligible impact on troponin classification. Troponin elevation significantly increased in individuals > 50 years old for males and >40 years old for females, with both troponin assays. A receiver operating characteristic analysis did not find significant differences between the two assays. The Kaplan-Meier curves showed no differences in survival in cTnI according to the non-sex-specific 99th URL or hs-cTnI (cutoff-2) but showed a slight difference in survival in hs-cTnI (cutoff-1). Conclusions: Overall, there were no significant differences in age and sex in the diagnostic performance between the contemporary and high-sensitivity troponin assays. Selection criteria for the establishment of the 99th percentile URL should be standardized to avoid the misinterpretation of the troponin results.

Drug-Coated Balloon in Acute Coronary Syndromes: Ready for the Prime Time?

PURPOSE OF REVIEW

Acute coronary syndromes (ACS) are a major global health concern. Percutaneous coronary intervention (PCI) with new-generation drug-eluting stents (DES) has been endorsed as safe and effective in the management of culprit and non-culprit lesions of ACS. However, permanent metallic implants may have drawbacks, including the need for prolonged dual antiplatelet therapy (DAPT) and the risk of long-term stent-related complications. An alternative approach using drug-coated balloons (DCBs) is gaining growing interest, having the potential of delivering therapy directly to vulnerable plaques, avoiding the need for permanent metallic implants, and potentially allowing for better long-term medical treatment. Despite limited evidence, DCB is being explored in several patients' subgroups. This review aims to discuss the existing evidence regarding DCB in ACS management.

RECENT FINDINGS

DCB appears to be a promising strategy in the management of ACS, showing comparable angiographic and clinical results as compared to new-generation DES in relatively small clinical trials or large prospective registries. The advantage of avoiding permanent implants is particularly appealing in this setting, where DCB has the potential of delivering anti-atherogenic local therapy directly to vulnerable plaques still amenable to atherogenic regression. This review seeks to underline the theoretical background of DCB use and reports the available evidence in its support in the specific setting of ACS. In the context of ACS, the use of DCB is highly attractive, offering a dedicated anti-atherogenic local therapy, capable of addressing a broad range of vulnerable plaques and patients.

Intravenous antiplatelet therapy in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention : A report from the INVEST-STEMI group

The use of intravenous antiplatelet therapy during primary percutaneous coronary intervention (PPCI) is not fully standardized. The aim is to evaluate the effectiveness and safety of periprocedural intravenous administration of cangrelor or tirofiban in a contemporary ST-segment elevation myocardial infarction (STEMI) population undergoing PPCI. This was a multicenter prospective cohort study including consecutive STEMI patients who received cangrelor or tirofiban during PPCI at seven Italian centers. The primary effectiveness measure was the angiographic evidence of thrombolysis in myocardial infarction (TIMI) flow < 3 after PPCI. The primary safety outcome was the in-hospital occurrence of BARC (Bleeding Academic Research Consortium) 2-5 bleedings. The study included 627 patients (median age 63 years, 79% males): 312 received cangrelor, 315 tirofiban. The percentage of history of bleeding, pulmonary edema and cardiogenic shock at admission was comparable between groups. Patients receiving cangrelor had lower ischemia time compared to tirofiban. TIMI flow before PPCI and TIMI thrombus grade were comparable between groups. At propensity score-weighted regression analysis, the risk of TIMI flow < 3 was significantly lower in patients treated with cangrelor compared to tirofiban (adjusted OR: 0.40; 95% CI: 0.30-0.53). The risk of BARC 2-5 bleeding was comparable between groups (adjusted OR:1.35; 95% CI: 0.92-1.98). These results were consistent across multiple prespecified subgroups, including subjects stratified for different total ischemia time, with no statistical interaction. In this real-world multicenter STEMI population, the use of cangrelor was associated with improved myocardial perfusion assessed by coronary angiography after PPCI without increasing clinically-relevant bleedings compared to tirofiban.

Invasive vs. conservative management of older patients with non-ST-elevation acute coronary syndrome: individual patient data meta-analysis

BACKGROUND AND AIMS

Older patients with non-ST-elevation acute coronary syndrome (NSTEACS) are less likely to receive guideline-recommended care including coronary angiography and revascularization. Evidence-based recommendations regarding interventional management strategies in this patient cohort are scarce. This meta-analysis aimed to assess the impact of routine invasive vs. conservative management of NSTEACS by using individual patient data (IPD) from all available randomized controlled trials (RCTs) including older patients.

METHODS

MEDLINE, Web of Science and Scopus were searched between 1 January 2010 and 11 September 2023. RCTs investigating routine invasive and conservative strategies in persons >70 years old with NSTEACS were included. Observational studies or trials involving populations outside the target range were excluded. The primary endpoint was a composite of all-cause mortality and myocardial infarction (MI) at 1 year. One-stage IPD meta-analyses were adopted by use of random-effects and fixed-effect Cox models. This meta-analysis is registered with PROSPERO (CRD42023379819).

RESULTS

Six eligible studies were identified including 1479 participants. The primary endpoint occurred in 181 of 736 (24.5%) participants in the invasive management group compared with 215 of 743 (28.9%) participants in the conservative management group with a hazard ratio (HR) from random-effects model of 0.87 (95% CI 0.63-1.22; P = .43). The hazard for MI at 1 year was significantly lower in the invasive group compared with the conservative group (HR from random-effects model 0.62, 95% CI 0.44-0.87; P = .006). Similar results were seen for urgent revascularization (HR from random-effects model 0.41, 95% CI 0.18-0.95; P = .037). There was no significant difference in mortality.

CONCLUSIONS

No evidence was found that routine invasive treatment for NSTEACS in older patients reduces the risk of a composite of all-cause mortality and MI within 1 year compared with conservative management. However, there is convincing evidence that invasive treatment significantly lowers the risk of repeat MI or urgent revascularisation. Further evidence is needed from ongoing larger clinical trials.

Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review

Cardiovascular diseases (CVDs) are significant health issues that result in high death rates globally. Early detection of cardiovascular events may lower the occurrence of acute myocardial infarction and reduce death rates in people with CVDs. Traditional data analysis is inadequate for managing multidimensional data related to the risk prediction of CVDs, heart attacks, medical image interpretations, therapeutic decision-making, and disease prognosis due to the complex pathological mechanisms and multiple factors involved. Artificial intelligence (AI) is a technology that utilizes advanced computer algorithms to extract information from large databases, and it has been integrated into the medical industry. AI methods have shown the ability to speed up the advancement of diagnosing and treating CVDs such as heart failure, atrial fibrillation, valvular heart disease, hypertrophic cardiomyopathy, congenital heart disease, and more. In clinical settings, AI has shown usefulness in diagnosing cardiovascular illness, improving the efficiency of supporting tools, stratifying and categorizing diseases, and predicting outcomes. Advanced AI algorithms have been intricately designed to analyze intricate relationships within extensive healthcare data, enabling them to tackle more intricate jobs compared to conventional approaches.

Blood group AB is associated with reduced blood loss but also elevated cardiovascular mortality in aortocoronary bypass surgery

Patient blood group (BG) is predictive for von-Willebrand-factor (VWF) and Factor VIII variation. The clinical impact of this ABO-effect on blood loss, cardiovascular complications and outcome has been described for several patient cohorts. The aim of this study was to investigate the impact of patient BG on blood loss and outcome after coronary artery bypass surgery (CABG). Patient records, intraoperative data and perioperative transfusion records of 5713 patients receiving an on-pump CABG procedure between 05/2004 and 12/2018 were analyzed. A logistic regression model for death due to perioperative myocardial ischaemia (PMI) was developed from initially 24 variables by using an univariate and multivariate selection process. BG AB patients required less blood transfusions as compared to the other blood groups, especially in case of emergency operations. However, BG AB patients also had a higher mortality which was due to secondary cardiovascular complications. The impact of blood type on the rate of cardiovascular mortality was confirmed in the logistic regression model. BG AB patients have a worse outcome after CABG surgery due to an increased incidence of fatal cardiovascular complications. As perioperative myocardial ischemia due to graft occlusion appears to be the most likely explanation, stricter anticoagulation for BG AB patients should be discussed.

Echocardiographic Myocardial Work: A Novel Method to Assess Left Ventricular Function in Patients with Coronary Artery Disease and Diabetes Mellitus

Myocardial ischemia caused by coronary artery disease (CAD) and the presence of metabolic abnormalities and microvascular impairments detected in patients with diabetes mellitus (DM) are a common cause of left ventricular (LV) dysfunction. Transthoracic echocardiography is the most-used, non-invasive imaging method for the assessment of myocardial contractility. The accurate evaluation of LV function is crucial for identifying patients who are at high risk or may have worse outcomes. Myocardial work (MW) is emerging as an alternative tool for the evaluation of LV systolic function, providing additional information on cardiac performance when compared to conventional parameters such as left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) because it incorporates deformation and load into its analysis. The potential of MW in various conditions is promising and it has gained increased attention. However, larger studies are necessary to further investigate its role and application before giving an answer to the question of whether it can have widespread implementation into clinical practice. The aim of this review is to summarize the actual knowledge of MW for the analysis of LV dysfunction caused by myocardial ischemia and hyperglycemia.

Pretreatment With P2Y12 Inhibitors in ST-Segment Elevation Myocardial Infarction: Insights From the Bern-PCI Registry

BACKGROUND

Evidence to support immediate P2Y12 inhibitor loading in ST-segment elevation myocardial infarction (STEMI) is limited.

OBJECTIVES

This study sought to compare outcomes of STEMI patients receiving immediate or delayed P2Y12 inhibitor treatment.

METHODS

Using data from the prospective Bern-PCI registry between 2016 and 2020, we stratified STEMI patients undergoing percutaneous coronary intervention according to time periods with different institutional recommendations regarding P2Y12 inhibitor pretreatment. In cohort 1 (October 2016-September 2018), immediate P2Y12 inhibitor treatment was recommended. In cohort 2 (October 2018-September 2020), P2Y12 inhibitor treatment was recommended after coronary anatomy was confirmed. The primary endpoint was a composite of major adverse cardiac or cerebrovascular events (MACCEs) defined as all-cause death, recurrent myocardial infarction, stroke, or definite stent thrombosis at 30 days. Sensitivity analysis included only patients in whom these recommendations were followed.

RESULTS

Cohort 1 included 1,116 patients; pretreatment was actually given in 708 (63.4%). Cohort 2 included 847 patients; pretreatment was withheld in 798 (94.2%). The mean age was 65 ± 13 years, and 24% were female. Baseline characteristics were well-balanced between groups. The median difference for P2Y12 loading to angiography was 52 minutes between cohort 1 and 2 and 100 minutes between patients receiving vs not receiving pretreatment. Rates of MACCEs were similar between cohort 1 and cohort 2 (10.1% vs 8.1%; adjusted HR: 0.91; 95% CI: 0.65-1.28; P = 0.59) and between patients receiving vs not receiving pretreatment (7.1% vs 8.4%; adjusted HR: 1.17; 95% CI: 0.78-1.74; P = 0.45).

CONCLUSIONS

In this cohort study of patients with STEMI undergoing primary percutaneous coronary intervention, P2Y12 inhibitor pretreatment was not associated with improved MACCEs.

Do We Still Need Aspirin in Coronary Artery Disease?

Aspirin has for some time been used as a first-line treatment for acute coronary syndromes, including ST-elevation myocardial infarction, for secondary prevention of established coronary disease, and for primary prevention in patients at risk of coronary artery disease. Although aspirin has been in use for decades, the available evidence for its efficacy largely predates the introduction of other drugs, such as statins and P2Y12 inhibitors. Based on recent trials, the recommendation for aspirin use as primary prevention has been downgraded. In addition, P2Y12 inhibitors given as a single antiplatelet therapy have been associated with a lower incidence of bleeding than dual antiplatelet therapy in combination with aspirin in patients with stable and unstable coronary artery disease. The aim of this review is to discuss the role of aspirin considering the available evidence for primary prevention, secondary prevention for stable coronary artery disease or acute coronary syndromes, and after percutaneous coronary intervention or coronary artery bypass revascularization.

AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study

BACKGROUND

Overcrowding of hospitals and emergency departments (EDs) is a growing problem. However, not all ED consultations are necessary. For example, 80% of patients in the ED with chest pain do not have an acute coronary syndrome (ACS). Artificial intelligence (AI) is useful in analyzing (medical) data, and might aid health care workers in prehospital clinical decision-making before patients are presented to the hospital.

OBJECTIVE

The aim of this study was to develop an AI model which would be able to predict ACS before patients visit the ED. The model retrospectively analyzed prehospital data acquired by emergency medical services' nurse paramedics.

METHODS

Patients presenting to the emergency medical services with symptoms suggestive of ACS between September 2018 and September 2020 were included. An AI model using a supervised text classification algorithm was developed to analyze data. Data were analyzed for all 7458 patients (mean 68, SD 15 years, 54% men). Specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for control and intervention groups. At first, a machine learning (ML) algorithm (or model) was chosen; afterward, the features needed were selected and then the model was tested and improved using iterative evaluation and in a further step through hyperparameter tuning. Finally, a method was selected to explain the final AI model.

RESULTS

The AI model had a specificity of 11% and a sensitivity of 99.5% whereas usual care had a specificity of 1% and a sensitivity of 99.5%. The PPV of the AI model was 15% and the NPV was 99%. The PPV of usual care was 13% and the NPV was 94%.

CONCLUSIONS

The AI model was able to predict ACS based on retrospective data from the prehospital setting. It led to an increase in specificity (from 1% to 11%) and NPV (from 94% to 99%) when compared to usual care, with a similar sensitivity. Due to the retrospective nature of this study and the singular focus on ACS it should be seen as a proof-of-concept. Other (possibly life-threatening) diagnoses were not analyzed. Future prospective validation is necessary before implementation.