Chronic Anticoagulation in Patients with Atrial Fibrillation and COVID-19: A Systematic Review and Meta-Analysis. / Anticoagulação Crônica em Pacientes com Fibrilação Atrial e COVID-19: Uma Revisão Sistemática e Metanálise.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is associated with hypercoagulability. It remains uncertain whether ongoing anticoagulation for atrial fibrillation (AF) in patients who later contract COVID-19 improves clinical outcomes. OBJECTIVES: To compare chronic oral anticoagulation with no previous anticoagulation in patients with AF who contracted a COVID-19 infection concerning the outcomes of all-cause mortality, COVID-19 mortality, intensive care unit (ICU) admission, and hospitalization. METHODS: We systematically searched PubMed, Embase, and Cochrane Library for eligible studies from inception to December 2022. We included studies comparing COVID-19 outcomes in patients with versus without prior chronic anticoagulation for AF. Risk ratios (RR) with 95% confidence intervals (CI) were pooled with a random-effects model. The level of significance was set at p < 0.05. Quality assessment and risk of bias were performed according to Cochrane recommendations. RESULTS: Ten studies comprising 1,177,858 patients with COVID-19 and AF were identified, of whom 893,772 (75.9%) were on prior chronic anticoagulation for AF. In patients with COVID-19, being on chronic anticoagulation for AF significantly reduced all-cause mortality (RR 0.75; 95% CI 0.57 to 0.99; p = 0.048; I2 = 89%) and COVID-19-related mortality (RR 0.76; 95% CI 0.72 to 0.79; p < 0.001; I2 = 0%) when compared with no prior anticoagulation. In contrast, there was no difference between groups regarding hospitalization (RR 1.08; 95% CI 0.82 to 1.41; p = 0.587; I2 = 95%) or ICU admission (RR 0.86; 95% CI 0.68 to 1.09; p = 0.216; I2 = 69%). CONCLUSIONS: In this meta-analysis, chronic anticoagulation for patients with AF who contracted COVID-19 was associated with significantly lower rates of all-cause mortality and COVID-19-related mortality as compared with no previous anticoagulation.

FUNDAMENTO: A doença por coronavírus 2019 (COVID-19) está associada à hipercoagulabilidade. Permanece incerto se a anticoagulação contínua para fibrilação atrial (FA) em pacientes que posteriormente contraem COVID-19 melhora os desfechos clínicos. OBJETIVOS: Comparar a anticoagulação oral crônica com ausência de anticoagulação prévia em pacientes com FA que contraíram uma infecção por COVID-19 em relação aos desfechos de mortalidade por todas as causas, mortalidade por COVID-19, admissão em unidade de terapia intensiva (UTI) e hospitalização. MÉTODOS: Buscamos sistematicamente no PubMed, Embase e Cochrane Library estudos elegíveis desde o início até dezembro de 2022. Incluímos estudos que compararam desfechos de COVID-19 em pacientes com e sem anticoagulação crônica prévia para FA. Foram agrupadas razões de risco (RR) com intervalos de confiança (IC) de 95% por meio de um modelo de efeitos aleatórios. O nível de significância foi estabelecido em p < 0,05. As avaliações da qualidade e do risco de viés foram realizadas de acordo com as recomendações da Cochrane. RESULTADOS: Foram identificados 10 estudos abrangendo 1.177.858 pacientes com COVID-19 e FA, dos quais 893.772 (75,9%) estavam em anticoagulação crônica prévia para FA. Em pacientes com COVID-19, a anticoagulação crônica para FA reduziu significativamente a mortalidade por todas as causas (RR 0,75; IC 95% 0,57 a 0,99; p = 0,048; I2 = 89%) e a mortalidade relacionada à COVID-19 (RR 0,76; IC 95% 0,72 a 0,79; p < 0,001; I2 = 0%) quando comparada com a ausência de anticoagulação prévia. Em contrapartida, não houve diferença entre os grupos em relação à hospitalização (RR 1,08; IC 95% 0,82 a 1,41; p = 0,587; I2 = 95%) ou internação em UTI (RR 0,86; IC 95% 0,68 a 1,09; p = 0,216; I2 = 69%). CONCLUSÕES: Nesta metanálise, a anticoagulação crônica para pacientes com FA que contraíram COVID-19 foi associada a taxas significativamente mais baixas de mortalidade por todas as causas e mortalidade relacionada à COVID-19 em comparação com a ausência de anticoagulação anterior.

GlycA Levels Independently Predict Coronary Artery Calcium Incidence and Progression in the ELSA-Brasil Cohort (Brazilian Longitudinal Study of Adult Health).

Atherosclerosis is an inflammatory disease. Coronary artery calcium (CAC) is a marker of atherosclerotic disease events and mortality risk. Increased GlycA, an emerging marker of inflammation, is associated with a higher risk for coronary artery disease (CAD). However, there is conflicting evidence on whether GlycA predicts subclinical CAD progression. We hypothesized that GlycA can predict subclinical CAC incidence/progression in healthy participants. We included 2,690 ELSA-Brasil cohort participants without cardiovascular/chronic inflammatory disease not receiving statin therapy who had GlycA levels measured and 2 interval CAC assessments between 2010 and 2018. Multivariable logistic and linear regression models were computed to evaluate GlycA as a predictor of CAC incidence and progression. CAC incidence required a baseline CAC of 0. CAC progression required a baseline CAC >0. The mean age of participants was 48.6 ± 7.7 years, 56.7% were women, and 54.6% and 16.1% (429 of 2,690) were White and Black, respectively. The mean CAC interscan period was 5.1 ± 0.9 years, the mean GlycA level was 414.7 ± 65 µmol/L, and the incidence of CAC was 13.1% (280 of 2,129). The GlycA level odds ratio for CAC incidence was 1.002 (95% confidence interval 1.0005 to 1.005, p = 0.016), adjusted for demographics, lifestyle, a family history of early CAD (≤60 years), lipids, and co-morbidities. The GlycA (≤p25 vs ≥p75) odds ratio for CAC progression (Berry definition) was 1.77 (95% confidence interval 1.07 to 2.96, p = 0.03) in a similar multivariable-adjusted model. Higher GlycA levels were associated with CAC incidence and progression in a healthy Brazilian cohort.

The association of lipoprotein(a) and coronary artery calcium in asymptomatic patients: a systematic review and meta-analysis.

AIMS: Lipoprotein(a) [Lp(a)] is an atherogenic lipid particle associated with increased risk for coronary heart disease (CHD) events. Coronary artery calcium (CAC) score is a tool to diagnose subclinical atherosclerosis and guide clinical decision-making for primary prevention of CHD. Studies show conflicting results concerning the relationship between Lp(a) and CAC in asymptomatic populations. We conducted a meta-analysis to evaluate the association of Lp(a) and CAC in asymptomatic patients. METHODS AND RESULTS: We systematically searched PubMed, Embase, and Cochrane until April 2023 for studies evaluating the association between Lp(a) and CAC in asymptomatic patients. We evaluated CAC > 0 Agatston units, and CAC ≥ 100. Lp(a) was analysed as a continuous or dichotomous variable. We assessed the association between Lp(a) and CAC with pooled odds ratios (OR) adopting a random-effects model. A total of 23 105 patients from 18 studies were included in the meta-analysis with a mean age of 55.9 years, 46.4% female. Elevated Lp(a) increased the odds of CAC > 0 [OR 1.31; 95% confidence intervals (CI) 1.05-1.64; P = 0.02], CAC ≥100 (OR 1.29; 95% CI 1.01-1.65; P = 0.04; ), and CAC progression (OR 1.43; 95% CI 1.20-1.70; P < 0.01; ). For each increment of 1 mg/dL in Lp(a) there was a 1% in the odds of CAC > 0 (OR 1.01; 95% CI 1.01-1.01; P < 0.01). CONCLUSION: Our findings of this meta-analysis suggest that Lp(a) is positively associated with a higher likelihood of CAC. Higher Lp(a) levels increased the odds of CAC >0. These data support the concept that Lp(a) is atherogenic, although with high heterogeneity and a low level of certainty. PROTOCOL REGISTRATION: CRD42023422034. KEY FINDINGS: Asymptomatic patients with elevated Lp(a) had 31% higher chances of having any coronary calcification (CAC > 0) and 29% higher chances of having more advanced calcification (CAC > 100). It increased the chances of having progression of coronary calcification over time by 43%. For each 1 mg/dL of Lp(a) there was an increment of 1% chance of having coronary calcification.

We conducted a meta-analysis to evaluate the association between Lp(a) and coronary calcification in asymptomatic patients without a known history of coronary artery disease.

Assessment of valve regurgitation severity via contrastive learning and multi-view video integration.

Objective. This paper presents a novel approach for addressing the intricate task of diagnosing aortic valve regurgitation (AR), a valvular disease characterized by blood leakage due to incompetence of the valve closure. Conventional diagnostic techniques require detailed evaluations of multi-modal clinical data, frequently resulting in labor-intensive and time-consuming procedures that are vulnerable to varying subjective assessment of regurgitation severity.Approach. In our research, we introduce the multi-view video contrastive network, designed to leverage multiple color Doppler imaging inputs for multi-view video processing. We leverage supervised contrastive learning as a strategic approach to tackle class imbalance and enhance the effectiveness of our feature representation learning. Specifically, we introduce a contrastive learning framework to enhance representation learning within the embedding space through inter-patient and intra-patient contrastive loss terms.Main results. We conducted extensive experiments using an in-house dataset comprising 250 echocardiography video series. Our results exhibit a substantial improvement in diagnostic accuracy for AR compared to state-of-the-art methods in terms of accuracy by 9.60%, precision by 8.67%, recall by 9.01%, andF1-score by 8.92%. These results emphasize the capacity of our approach to provide a more precise and efficient method for evaluating the severity of AR.Significance. The proposed model could quickly and accurately make decisions about the severity of AR, potentially serving as a useful prescreening tool.

Changes in use of preventive medications after assessment of chest pain by coronary computed tomography angiography: A meta-analysis.

BACKGROUND: Coronary computed tomography angiogram (CCTA) is a crucial tool for diagnosing CAD, but its impact on altering preventive medications is not well-documented. This systematic review aimed to compare changes in aspirin and statin therapy following CCTA and functional stress testing in patients with suspected CAD, and in those underwent CCTA when stratified by the presence/absence of plaque. RESULTS: Eight studies involving 42,812 CCTA patients and 64,118 cardiac stress testing patients were analyzed. Compared to functional testing, CCTA led to 66 â€‹% more changes in statin therapy (pooled RR, 95 â€‹% CI [1.28-2.15]) and a 74 â€‹% increase in aspirin prescriptions (pooled RR, 95 â€‹% CI [1.34-2.26]). For medication modifications based on CCTA results, 13 studies (47,112 patients with statin data) and 11 studies (12,089 patients with aspirin data) were included. Patients with any plaque on CCTA were five times more likely to use or intensify statins compared to those without CAD (pooled RR, 5.40, 95 â€‹% CI [4.16-7.00]). Significant heterogeneity remained, which decreased when stratified by diabetes rates. Aspirin use increased eightfold after plaque detection (pooled RR, 8.94 [95 â€‹% CI, 4.21-19.01]), especially with obstructive plaque findings (pooled RR, 9.41, 95 â€‹% CI [2.80-39.02]). CONCLUSION: In conclusion, CCTA resulted in higher changes in statin and aspirin therapy compared to cardiac stress testing. Detection of plaque by CCTA significantly increased statin and aspirin therapy.

Artificial Intelligence in Coronary Artery Calcium Scoring Detection and Quantification.

Coronary artery calcium (CAC) is a marker of coronary atherosclerosis, and the presence and severity of CAC have been shown to be powerful predictors of future cardiovascular events. Due to its value in risk discrimination and reclassification beyond traditional risk factors, CAC has been supported by recent guidelines, particularly for the purposes of informing shared decision-making regarding the use of preventive therapies. In addition to dedicated ECG-gated CAC scans, the presence and severity of CAC can also be accurately estimated on non-contrast chest computed tomography scans performed for other clinical indications. However, the presence of such "incidental" CAC is rarely reported. Advances in artificial intelligence have now enabled automatic CAC scoring for both cardiac and non-cardiac CT scans. Various AI approaches, from rule-based models to machine learning algorithms and deep learning, have been applied to automate CAC scoring. Convolutional neural networks, a deep learning technique, have had the most successful approach, with high agreement with manual scoring demonstrated in multiple studies. Such automated CAC measurements may enable wider and more accurate detection of CAC from non-gated CT studies, thus improving the efficiency of healthcare systems to identify and treat previously undiagnosed coronary artery disease.

AI-Guided Quantitative Plaque Staging Predicts Long-Term Cardiovascular Outcomes in Patients at Risk for Atherosclerotic CVD.

BACKGROUND: The recent development of artificial intelligence-guided quantitative coronary computed tomography angiography analysis (AI-QCT) has enabled rapid analysis of atherosclerotic plaque burden and characteristics. OBJECTIVES: This study set out to investigate the 10-year prognostic value of atherosclerotic burden derived from AI-QCT and to compare the spectrum of plaque to manually assessed coronary computed tomography angiography (CCTA), coronary artery calcium scoring (CACS), and clinical risk characteristics. METHODS: This was a long-term follow-up study of 536 patients referred for suspected coronary artery disease. CCTA scans were analyzed with AI-QCT and plaque burden was classified with a plaque staging system (stage 0: 0% percentage atheroma volume [PAV]; stage 1: >0%-5% PAV; stage 2: >5%-15% PAV; stage 3: >15% PAV). The primary major adverse cardiac event (MACE) outcome was a composite of nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, and all-cause mortality. RESULTS: The mean age at baseline was 58.6 years and 297 patients (55%) were male. During a median follow-up of 10.3 years (IQR: 8.6-11.5 years), 114 patients (21%) experienced the primary outcome. Compared to stages 0 and 1, patients with stage 3 PAV and percentage of noncalcified plaque volume of >7.5% had a more than 3-fold (adjusted HR: 3.57; 95% CI 2.12-6.00; P < 0.001) and 4-fold (adjusted HR: 4.37; 95% CI: 2.51-7.62; P < 0.001) increased risk of MACE, respectively. Addition of AI-QCT improved a model with clinical risk factors and CACS at different time points during follow-up (10-year AUC: 0.82 [95% CI: 0.78-0.87] vs 0.73 [95% CI: 0.68-0.79]; P < 0.001; net reclassification improvement: 0.21 [95% CI: 0.09-0.38]). Furthermore, AI-QCT achieved an improved area under the curve compared to Coronary Artery Disease Reporting and Data System 2.0 (10-year AUC: 0.78; 95% CI: 0.73-0.83; P = 0.023) and manual QCT (10-year AUC: 0.78; 95% CI: 0.73-0.83; P = 0.040), although net reclassification improvement was modest (0.09 [95% CI: -0.02 to 0.29] and 0.04 [95% CI: -0.05 to 0.27], respectively). CONCLUSIONS: Through 10-year follow-up, AI-QCT plaque staging showed important prognostic value for MACE and showed additional discriminatory value over clinical risk factors, CACS, and manual guideline-recommended CCTA assessment.

Early Initiation of PCSK9 Inhibitor Therapy Versus Placebo in Patients With Acute Coronary Syndrome: A Systematic Review and Meta-Analysis.

In patients with stable atherosclerotic cardiovascular disease, proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9is) have shown a 50% to 60% reduction in low-density lipoprotein cholesterol (LDL-C) from baseline when added to high-intensity statin therapy. However, less is known about the impact of PCSK9is in the setting of an acute coronary syndrome (ACS). Therefore, we performed a systematic review and meta-analysis comparing PCSK9is with placebo in the setting of ACS added to guideline-directed high-intensity or maximally tolerated statin therapy. We included randomized controlled trials with initiation of a PCSK9i or placebo within 1 week of presentation or percutaneous coronary intervention for ACS. PubMed, EMBASE, and Cochrane Central were searched. This study followed the Cochrane and Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) recommendations. A total of 6 randomized controlled trials were included, with a total of 996 patients, of whom 503 (50.5%) received PCSK9is. The mean follow-up ranged from 4 to 52 weeks. The LDL-C (mean difference [MD] -44.0 mg/100 ml, CI -54.3 to -33.8, p <0.001) and lipoprotein (a) levels (MD -24.0 nmol/L, confidence interval [CI] -43.0 to -4.9, p = 0.01) were significantly lower at follow-up with PCSK9is. Similarly, the total cholesterol (MD -49.2 mg/100 ml, CI -59.0 to -39.3), triglycerides (MD -19.0 mg/100 ml, CI -29.9 to -8.2), and apolipoprotein B (MD -33.3 mg/100 ml, CI -44.4 to -22.1) were significantly reduced with PCSK9is. In conclusion, in patients with ACS, early initiation of PCSK9i added to statin significantly reduces LDL-C and lipoprotein (a) levels compared with placebo. Whether the differences in these atherogenic lipoproteins translate into a reduction in clinical end points is yet to be determined.

Coronary Computed Tomography Angiography Versus Invasive Coronary Angiography in Stable Chest Pain: A Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The efficacy of coronary computed tomography angiography (CCTA) versus invasive coronary angiography (ICA) among patients with stable chest pain has been studied in several trials with conflicting results. METHODS: We performed a systematic review and meta-analysis comparing CCTA first versus direct ICA among patients with stable chest pain, who were initially referred to ICA. PubMed, EMBASE, and Cochrane Central were searched for randomized controlled trials comparing the 2 strategies. Risk ratios (RRs) and mean differences with 95% CIs were computed for binary and continuous outcomes, respectively. RESULTS: Five randomized controlled trials with a total of 5727 patients were included, of whom 51.1% were referred to CCTA and 22.5% of patients had evidence of ischemia on a prior functional test. In the follow-up ranging from 1 to 3.5 years, 660 of the 2928 patients randomized to CCTA first underwent ICA (23%). Patients who underwent CCTA had lower rates of coronary revascularization (RR, 0.74 [95% CI, 0.66-0.84]; P<0.001) and stroke (RR, 0.50 [95% CI, 0.26-0.98]; P=0.043). Cardiovascular mortality (RR, 0.55 [95% CI, 0.24-1.23]; P=0.146), major adverse cardiovascular events (RR, 0.84 [95% CI, 0.64-1.10]; P=0.198), nonfatal myocardial infarction (RR, 1.09 [95% CI, 0.63-1.88]; P=0.768), and cardiovascular hospitalizations (RR, 0.91 [95% CI, 0.59-1.39]; P=0.669) did not differ significantly between groups. CONCLUSIONS: In patients with stable chest pain referred for ICA, CCTA avoided the need for ICA in 77% of patients otherwise referred for ICA. CCTA was associated with a reduction in the rates of coronary revascularization and stroke compared with direct ICA. REGISTRATION: URL: https://www.crd.york.ac.uk/prospero/; Unique identifier: CRD42023383143.

Clinical outcomes of automatic algorithms in cardiac resynchronization therapy: Systematic review and meta-analysis.

Background: Algorithms to automatically adjust atrioventricular (AV) and interventricular (VV) intervals in cardiac resynchronization therapy (CRT) devices are common, but their clinical efficacy is unknown. Objective: The purpose of this study was to evaluate automatic CRT algorithms in patients with heart failure for the reduction of mortality, heart failure hospitalizations, and clinical improvement. Methods: We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) in patients with CRT using automatic algorithms that change AV and VV intervals dynamically without manual input, on a beat-to-beat basis. We performed a subgroup analysis including intracardiac electrogram-based (EGM) algorithms and contractility-based algorithms. Results: Nine RCTs with 8531 participants were included, of whom 4275 (50.1%) were randomized to automatic algorithm. Seven of the 9 trials used EGM-based algorithms, and 2 used contractility sensors. There was no difference in all-cause mortality (10.3% vs 11.3%; odds ratio [OR] 0.90; 95% confidence interval [CI] 0.71-1.03; P = .13; I2 = 0%) or heart failure hospitalizations (15.0% vs 16.1%; OR 0.924; 95% CI 0.81-1.04; P = .194; I2 = 0%) between the automatic algorithm group and the control group. Study-defined clinical improvement was also not significantly different between groups (66.6% vs 63.3%; risk ratio 1.01; 95% CI 0.95-1.06; P = .82; I2 = 50%). In the contractility-based subgroup, there was a trend toward greater clinical improvement with the use of the automatic algorithm (75% vs 68.3%; OR 1.45; 95% CI 0.97-2.18; P = .07; I2 = 40%), which did not reach statistical significance. The overall risk of bias was low. Conclusion: Automatic algorithms that change AV or VV intervals did not improve mortality, heart failure hospitalizations, or cardiovascular symptoms in patients with heart failure and CRT.

How early can atherosclerosis be detected by coronary CT angiography? Insights from quantitative CT analysis of serial scans in the PARADIGM trial.

BACKGROUND: Non-obstructing small coronary plaques may not be well recognized by expert readers during coronary computed tomography angiography (CCTA) evaluation. Recent developments in atherosclerosis imaging quantitative computed tomography (AI-QCT) enabled by machine learning allow for whole-heart coronary phenotyping of atherosclerosis, but its diagnostic role for detection of small plaques on CCTA is unknown. METHODS: We performed AI-QCT in patients who underwent serial CCTA in the multinational PARADIGM study. AI-QCT results were verified by a level III experienced reader, who was blinded to baseline and follow-up status of CCTA. This retrospective analysis aimed to characterize small plaques on baseline CCTA and evaluate their serial changes on follow-up imaging. Small plaques were defined as a total plaque volume <50 â€‹mm3. RESULTS: A total of 99 patients with 502 small plaques were included. The median total plaque volume was 6.8 â€‹mm3 (IQR 3.5-13.9 â€‹mm3), most of which was non-calcified (median 6.2 â€‹mm3; 2.9-12.3 â€‹mm3). The median age at the time of baseline CCTA was 61 years old and 63% were male. The mean interscan period was 3.8 â€‹± â€‹1.6 years. On follow-up CCTA, 437 (87%) plaques were present at the same location as small plaques on baseline CCTA; 72% were larger and 15% decreased in volume. The median total plaque volume and non-calcified plaque volume increased to 18.9 â€‹mm3 (IQR 8.3-45.2 â€‹mm3) and 13.8 â€‹mm3 (IQR 5.7-33.4 â€‹mm3), respectively, among plaques that persisted on follow-up CCTA. Small plaques no longer visualized on follow-up CCTA were significantly more likely to be of lower volume, shorter in length, non-calcified, and more distal in the coronary artery, as compared with plaques that persisted at follow-up. CONCLUSION: In this retrospective analysis from the PARADIGM study, small plaques (<50 â€‹mm3) identified by AI-QCT persisted at the same location and were often larger on follow-up CCTA.

Network Meta-Analysis of Initial Antithrombotic Regimens After Left Atrial Appendage Occlusion.

BACKGROUND: The optimal antithrombotic therapy following left atrial appendage occlusion (LAAO) in patients with nonvalvular atrial fibrillation (AF) remains uncertain. OBJECTIVES: In this study, the authors sought to compare the efficacy and safety of various antithrombotic strategies after LAAO. METHODS: We searched the Medline, Cochrane, EMBASE, LILACS, and ClinicalTrials.gov databases for studies reporting outcomes after LAAO, stratified by antithrombotic therapy prescribed at postprocedural discharge. Direct oral anticoagulants (DOACs), vitamin K antagonists (VKAs), single antiplatelet therapy (SAPT), dual antiplatelet therapy (DAPT), DOAC plus SAPT, VKA plus SAPT, and no antithrombotic therapy were analyzed. We performed a frequentist random effects model network meta-analysis to estimate the OR and 95% CI for each comparison. P-scores provided a ranking of treatments. RESULTS: Forty-one studies comprising 12,451 patients with nonvalvular AF were included. DAPT, DOAC, DOAC plus SAPT, and VKA were significantly superior to no therapy to prevent device-related thrombosis. DOAC was associated with lower all-cause mortality than VKA (OR: 0.39; 95% CI: 0.17-0.89; P = 0.03). Compared with SAPT, DAPT was associated with fewer thromboembolic events (OR: 0.50; 95% CI: 0.29-0.88; P = 0.02), without a difference in major bleeding. In the analysis of P-scores, DOAC monotherapy was the strategy most likely to have lower thromboembolic events and major bleeding. CONCLUSIONS: In this network meta-analysis comparing initial antithrombotic therapies after LAAO, monotherapy with DOAC had the highest likelihood of lower thromboembolic events and major bleeding. DAPT was associated with a lower incidence of thromboembolic events compared with SAPT and may be a preferred option in patients unable to tolerate anticoagulation.

Angiotensin Receptor-Neprilysin Inhibitor Effects on Atherosclerotic Cardiovascular Disease Events: A Meta-Analysis of Randomized Controlled Trials.

Sacubitril-valsartan is an angiotensin receptor-neprilysin inhibitor (ARNI) associated with a decreased risk of death and hospitalization for selected patients with heart failure (HF). However, its association with improved atherosclerotic cardiovascular disease (ASCVD) events remains unclear. We performed a meta-analysis to evaluate the association of ARNI with ASCVD events in patients with HF. We systematically searched PubMed, Embase, Cochrane, and ClinicalTrials.gov for studies comparing ARNIs with angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) in terms of myocardial infarction, stroke, angina pectoris, peripheral artery disease, and the composite end point in patients with HF. A total of 8 randomized controlled trials were included, with 17,541 patients assigned to either the ARNI (8,764 patients) or ACEi/ARB (8,777 patients) groups. The incidence of composite end point (risk ratio [RR] 1.03, 95% confidence interval [CI] 0.93 to 1.13, p = 0.63), myocardial infarction (RR 1.02, 95% CI 0.81 to 1.30, p = 0.85), angina pectoris (RR 0.96, 95% CI 0.80 to 1.17, p = 0.70), and stroke (RR 0.99, 95% CI 0.85 to 1.16, p = 0.93) were not statistically different between the ARNI and ACEi/ARB groups. However, ARNI was associated with a higher incidence of peripheral artery disease (RR 1.63, 95% CI 1.05 to 2.52, p = 0.03). In conclusion, this meta-analysis found no association between ARNI therapy and improved ASCVD events in patients with HF.

The AHA/ACC/HFSA 2022 Heart Failure Guidelines: Changing the Focus to Heart Failure Prevention.

The prevalence of heart failure (HF) in the United States (U.S.) is estimated at over 6 million adults, with the incidence continuing to increase. A large proportion of the U.S. population is also at risk of HF due to the high prevalence of established HF risk factors, such as hypertension, diabetes, and obesity. Many individuals have multiple risk factors, placing them at even higher risk. In addition, these risk factors disproportionately impact various racial and ethnic groups. Recognizing the rising health and economic burden of HF in the U.S., the 2022 American Heart Association / American College of Cardiology / Heart Failure Society of America (AHA/ACC/HFSA) Heart Failure Guideline placed a strong emphasis on prevention of HF. The purpose of this review is to highlight the role of both primary and secondary prevention in HF, as outlined by the recent guideline, and address the role of the preventive cardiology community in reducing the prevalence of HF in at-risk individuals.

Polypill-based strategy vs. usual care for secondary prevention of cardiovascular disease: a meta-analysis of randomized controlled trials.

AIMS: We aimed to perform a systematic review and meta-analysis of randomized controlled trials (RCTs) to determine the impact of a polypill-based strategy (PBS) on therapeutic adherence and cardiovascular outcomes compared with usual care for secondary prevention of cardiovascular diseases (CVDs). METHODS AND RESULTS: We systematically searched PubMed, Cochrane, and Scopus databases from inception to January 2023, including RCTs comparing PBS with usual care in patients with prior CVD. We assessed efficacy outcomes of therapeutic adherence, systolic blood pressure (SBP), and LDL-cholesterol (LDL-C) and safety outcomes of all-cause and cardiovascular mortality. Statistical analysis was performed with Review Manager 5.4.1 and R Version 4.2.1. A total of 8 RCTs with a population of 6541 individuals were included, of whom 3318 (50.7%) were treated with the PBS. Follow-up ranged from 6 to 60 months. The polypill-based strategy was associated with a significantly increased therapeutic adherence [risk ratio (RR) 1.22; 95% confidence interval (CI) 1.10-1.34; P < 0.001]. Cardiovascular mortality (RR 0.61; 95% CI 0.44-0.85; P = 0.004), SBP [mean difference (MD) -1.47 mmHg; 95% CI -2.86 to -0.09; P = 0.04], and LDL-C (MD -3.83 mg/dL; 95% CI -6.99 to -0.67; P = 0.02) were significantly lower in the PBS group. The incidence of all-cause mortality was similar between groups (RR 0.83; 95% CI 0.54-1.29; P = 0.41). CONCLUSION: In patients with pre-existing CVD, a PBS is associated with lower cardiovascular mortality and improved therapeutic adherence, along with a modest decrease in SBP and LDL-C compared with usual care. Thus, a PBS may be considered a preferred option for this patient population.

Adherence to medical therapy plays a critical role in the prevention of atherosclerotic events. Previous studies have shown that a polypill-based strategy (PBS) increases treatment adherence in the context of primary prevention of cardiovascular diseases. However, the effectiveness of this strategy in secondary prevention is yet to be determined. Herein, we demonstrate the following: Polypill-based strategy improved therapeutic adherence and reduced LDL-cholesterol and systolic blood pressure levels.There was a reduction in cardiovascular mortality with the use of the PBS; however, no significant difference was found in all-cause mortality between groups.

Efficacy and safety of the dual GIP and GLP-1 receptor agonist tirzepatide for weight loss: a meta-analysis of randomized controlled trials.

OBJECTIVES: Tirzepatide is a dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist approved for type 2 diabetes. We performed a meta-analysis to assess tirzepatide's weight reduction efficacy and safety. METHODS: We searched PubMed, Embase, and Cochrane for randomized controlled trials published from inception to July 2022, comparing tirzepatide with placebo for the co-primary endpoints of absolute and percent change in weight. Mean difference (MD) and odds ratio (OR) were calculated for continuous and binary outcomes, respectively. Review Manager 5.4.1 and RStudio were used for the statistical analysis, and RoB-2 (Cochrane) to assess the risk of bias. RESULTS: Of 397 search results, 6 studies (4036 participants) ranging from 12 to 72 weeks were included. Pooled analysis showed that tirzepatide 5 mg, 10 mg, and 15 mg were more effective than placebo, with MD in body weight of -7.7 kg (95% CI -11.0, -4.4; p < 0.001), -11.6 kg (95% CI -18.8, -4.3; p = 0.002), and -11.8 kg (95% CI -17.4, -6.2; p < 0.001), respectively, and MD in percent change in weight of -8.1% (95% CI -11.0, -5.2; p < 0.001), -11.9% (95% CI -18.1, -5.6; p < 0.001), and -12.4% (95% CI -17.2, -7.5; p < 0.001), respectively. Tirzepatide also reduced BMI and waist circumference. Adverse events were more common with tirzepatide with respect to nausea (OR 4.2; 95% CI 2.4, 7.5; p < 0.001), vomiting (OR 7.0; 95% CI 4.3, 11.4; p < 0.001), and diarrhea (OR 2.8; 95% CI 1.6, 4.9; p < 0.001) (15 mg dose), when compared with placebo. CONCLUSIONS: The results support that tirzepatide leads to substantial weight reduction and constitutes a valuable therapeutic option for weight management, despite an increase in gastrointestinal symptoms. PROTOCOL REGISTRATION: CRD42022348576.

Pretreatment with P2Y12 inhibitors in ST-elevation myocardial infarction: A systematic review and meta-analysis.

BACKGROUND: Pretreatment with oral P2Y12 inhibitors is a standard practice for ST-elevation myocardial infarction (STEMI) patients undergoing percutaneous coronary intervention (PCI). However, the efficacy and safety of P2Y12 inhibitors pretreatment remain unclear. OBJECTIVES: We conducted a meta-analysis to investigate the impact of P2Y12 inhibitor pretreatment on thrombotic and hemorrhagic endpoints in STEMI patients. METHODS: We searched multiple databases for studies that compared P2Y12 inhibitor pretreatment with no pretreatment in STEMI patients and reported endpoints of interest. Random effects model was used for the meta-analysis. RESULTS: Our meta-analysis included 3 randomized controlled trials and 14 observational studies, comprising 70,465 patients assigned to either P2Y12 inhibitor pretreatment (50,328 patients) or no pretreatment (20,137 patients). Compared to no pretreatment, P2Y12 inhibitor pretreatment did not result in significant reductions in all-cause mortality (risk ratio [RR] 0.73; 95% confidence interval [CI]: 0.52-1.03; p = 0.07), myocardial infarction (RR 0.75; 95% CI: 0.53-1.07; p = 0.11), or major bleeding (RR 0.80; 95% CI: 0.56-1.16; p = 0.22) at 30 days. However, our subgroup analysis revealed that P2Y12 inhibitor pretreatment administered in the pre-hospital setting was associated with a significant reduction in the incidence of myocardial infarction compared to no pretreatment (RR 0.73; 95% CI: 0.56-0.91; p < 0.01). CONCLUSION: Our analysis suggests that pretreatment with oral P2Y12 inhibitors before PCI in patients with STEMI was not associated with reduced all-cause mortality, myocardial infarction, or major bleeding. However, pretreatment with P2Y12 inhibitors in the pre-hospital setting appears to be beneficial in reducing reinfarction.

Advances in Coronary Computed Tomographic Angiographic Imaging of Atherosclerosis for Risk Stratification and Preventive Care.

The diagnostic evaluation of coronary artery disease is undergoing a dramatic transformation with a new focus on atherosclerotic plaque. This review details the evidence needed for effective risk stratification and targeted preventive care based on recent advances in automated measurement of atherosclerosis from coronary computed tomography angiography (CTA). To date, research findings support that automated stenosis measurement is reasonably accurate, but evidence on variability by location, artery size, or image quality is unknown. The evidence for quantification of atherosclerotic plaque is unfolding, with strong concordance reported between coronary CTA and intravascular ultrasound measurement of total plaque volume (r >0.90). Statistical variance is higher for smaller plaque volumes. Limited data are available on how technical or patient-specific factors result in measurement variability by compositional subgroups. Coronary artery dimensions vary by age, sex, heart size, coronary dominance, and race and ethnicity. Accordingly, quantification programs excluding smaller arteries affect accuracy for women, patients with diabetes, and other patient subsets. Evidence is unfolding that quantification of atherosclerotic plaque is useful to enhance risk prediction, yet more evidence is required to define high-risk patients across varied populations and to determine whether such information is incremental to risk factors or currently used coronary computed tomography techniques (eg, coronary artery calcium scoring or visual assessment of plaque burden or stenosis). In summary, there is promise for the utility of coronary CTA quantification of atherosclerosis, especially if it can lead to targeted and more intensive cardiovascular prevention, notably for those patients with nonobstructive coronary artery disease and high-risk plaque features. The new quantification techniques available to imagers must not only provide sufficient added value to improve patient care, but also add minimal and reasonable cost to alleviate the financial burden on our patients and the health care system.

Cardiac MRI as an Imaging Tool in Titin Variant-Related Dilated Cardiomyopathy.

Dilated Cardiomyopathy is a common myocardial disease characterized by dilation and loss of function of one or both ventricles. A variety of etiologies have been implicated including genetic variation. Advancement in genetic sequencing, and diagnostic imaging allows for detection of genetic mutations in sarcomere protein titin (TTN) and high resolution assessment of cardiac function. This review article discusses the role of cardiac MRI in diagnosing dilated cardiomyopathy in patients with TTN variant related cardiomyopathy.