Wittlinger, Thomas

Abstract Background and Aims Clinical models incompletely capture the molecular pathways driving heart failure (HF) progression. This study evaluated whether molecular risk stratification provides incremental prognostic information beyond established clinical predictors in patients with HF. Methods A total of 2432 patients from the Global Congestive Heart Failure (G-CHF) registry with available genotyping, DNA methylation, and proteomic profiling were analysed. Three molecular scores were assessed: a composite cardiovascular polygenic risk score (PRS) from DNA sequence polymorphisms, a methylation risk score (MRS) derived from epigenome-wide associations, and a 23-protein-based score (ProteomicDeath23). Each score was tested individually and in combination with the clinical Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels for mortality prediction. Validation was performed in an HF subset of the UK Biobank (UKB). Results Over a median follow-up of 3.0 years in G-CHF, 523 patients died from any cause (7.64 per 100 person-years [PY]). In multivariable analyses, ProteomicDeath23 was the strongest independent predictor of all-cause mortality (hazard ratio [HR] per 1 standard deviation, 2.23), outperforming NT-proBNP (HR 2.00), MRSMortality (HR 1.66), PRSmetaCVD (HR 1.10), and the MAGGIC score (HR 1.70). A model combining ProteomicDeath23 with MAGGIC and NT-proBNP achieved the highest discrimination for mortality (C-index, 0.77). Addition of MRSMortality to this proteomic-clinical model resulted in only small improvements in discrimination (ΔC-index, +0.004, P = .0039), while the PRSmetaCVD provided no incremental benefit. Among patients with low NT-proBNP/MAGGIC score, mortality rates increased from 1.71 to 8.12 per 100 PY across ProteomicDeath23 tertiles. Consistent results were observed in the UKB-HF validation cohort. Conclusion A proteomic score was the strongest molecular predictor of mortality in HF. Integrating proteomic signatures with clinical risk factors significantly improved risk prediction.

Background— The risk of ischemic events is high, both early and late after acute coronary syndromes (ACS). We examine the benefits and risks associated with the use of adding clopidogrel to aspirin within the first 30 days and later (31 days to 12 months) in 12 562 patients with ACS. Methods and Results— A total of 12 562 ACS patients were randomized to receive clopidogrel (300 mg initially followed by 75 mg/d) or placebo for 3 to 12 months. The proportion of patients experiencing cardiovascular death, myocardial infarction, or strokes (primary outcome) at 30 days was 5.4% in the placebo group and 4.3% in the active group (relative risk 0.79, 95% CI 0.67 to 0.92). Beyond 30 days, the corresponding rates were 6.3% versus 5.2% (relative risk 0.82, 95% CI 0.70 to 0.95). There was no significant excess in life-threatening bleeds in each period (0.97% versus 1.28%, relative risk 1.32, 95% CI 0.95 to 1.84 for 0 to 30 days; 0.83% versus 0.91%, relative risk 1.09, 95% CI 0.75 to 1.59 for 31 days to 12 months). Further subdivision of the early data indicates benefits within 24 hours with consistently lower rates of the primary outcome in combination with refractory or severe ischemia. Conclusions— Clopidogrel reduces the risk of ischemic vascular events, with the benefits emerging within 24 hours of initiation of treatment and continuing throughout the 12 months (mean 9 months) of the study.