Jain, Vardhmaan

Background: Aspirin is the most frequently used antiplatelet monotherapy for secondary prevention in patients with established ASCVD. Trials comparing monotherapy with a P2Y12i versus aspirin have shown variable results. Methods: Medline, Embase, & Cochrane Central databases were searched to identify RCTs comparing monotherapy with a P2Y12i versus aspirin for secondary prevention in patients with established ASCVD (ischemic stroke, coronary, or peripheral artery disease). The primary outcome of interest was major adverse cardiac events (MACE). Secondary outcomes were myocardial infarction (MI), stroke, all-cause mortality, & major bleeding. The DerSimonian and Laird random-effects model was used to calculate risk ratios (RR) & the corresponding 95% confidence interval (CI). Heterogeneity among studies was assessed using the Higgins I 2 value. Results: 9 eligible RCTs (5 with clopidogrel & 4 with ticagrelor) with 62,336 patients were included in our analyses. Monotherapy with P2Y12i significantly reduced the risk of MACE by 11% (0.89, 95% CI 0.84 - 0.95, I 2 =0), & MI by 19% (0.81, 95% CI 0.71 - 0.92, I 2 =0) as compared with aspirin monotherapy (Figure). There was no significant difference in the risk of stroke (0.85, 95% CI 0.73-1.01), & all-cause mortality (1.01, 95% CI 0.92 - 1.11) between the 2 treatment groups. There was no significant difference in the risk of major bleeding with P2Y12i monotherapy as compared with aspirin (0.97, 95% CI 0.66 - 1.43, I 2 =0). Results were consistent irrespective of the P2Y12i. Conclusion: P2Y12i monotherapy is associated with a significant reduction in atherothrombotic events as compared with aspirin alone without an increased risk of major bleeding.

Abstract Aims There are several risk scores designed to predict mortality in patients with heart failure (HF). This study aimed to assess performance of risk scores validated for mortality prediction in patients with acute HF (AHF) and chronic HF. Methods and results MEDLINE and Scopus were searched from January 2015 to January 2021 for studies which internally or externally validated risk models for predicting all-cause mortality in patients with AHF and chronic HF. Discrimination data were analysed using C-statistics, and pooled using generic inverse-variance random-effects model. Nineteen studies (n = 494 156 patients; AHF: 24 762; chronic HF mid-term mortality: 62 000; chronic HF long-term mortality: 452 097) and 11 risk scores were included. Overall, discrimination of risk scores was good across the three subgroups: AHF mortality [C-statistic: 0.76 (0.68–0.83)], chronic HF mid-term mortality [1 year; C-statistic: 0.74 (0.68–0.79)], and chronic HF long-term mortality [≥2 years; C-statistic: 0.71 (0.69–0.73)]. MEESSI-AHF [C-statistic: 0.81 (0.80–0.83)] and MARKER-HF [C-statistic: 0.85 (0.80–0.89)] had an excellent discrimination for AHF and chronic HF mid-term mortality, respectively, whereas MECKI had good discrimination [C-statistic: 0.78 (0.73–0.83)] for chronic HF long-term mortality relative to other models. Overall, risk scores predicting short-term mortality in patients with AHF did not have evidence of poor calibration (Hosmer–Lemeshow P > 0.05). However, risk models predicting mid-term and long-term mortality in patients with chronic HF varied in calibration performance. Conclusions The majority of recently validated risk scores showed good discrimination for mortality in patients with HF. MEESSI-AHF demonstrated excellent discrimination in patients with AHF, and MARKER-HF and MECKI displayed an excellent discrimination in patients with chronic HF. However, modest reporting of calibration and lack of head-to-head comparisons in same populations warrant future studies.