Inflammation across universal definition of heart failure stages: the CASABLANCA study

Abstract Aim We sought to investigate the association of inflammatory biomarkers with incident heart failure (HF) events in patients at different stages of HF. Methods and results Overall, 1231 study participants undergoing diagnostic coronary and/or peripheral angiography were categorized by Universal Definition of HF (UDHF) stage A (at risk), stage B (pre‐HF), and stages C or D (HF, including end‐stage). Twenty‐four inflammatory biomarkers were collected prior to angiography and unsupervised machine learning categorized levels of inflammation into three groups (low, medium, and high). Cox proportional hazard regression was implemented to assess the associations of inflammation level with incident HF hospitalization in each UDHF stage. Using machine learning, study participants were grouped into low ( n = 443), medium ( n = 570) and high inflammation categories ( n = 230). Significantly higher concentrations of natriuretic peptide, troponin, and soluble ST2 were observed among those with high inflammation levels ( p < 0.001). During 3.7 years of follow‐up, 123 (15.1%) HF hospitalizations occurred in stage A/B and 180 (41.8%) HF hospitalizations occurred in stage C/D. In multivariable model considering low inflammation level as a reference, among patients with stage A/B, the hazard ratio (HR) (95% confidence interval [CI]) of incident HF was 2.31 (1.40–3.80) for moderate inflammation level, and 4.16 (2.35–7.37) for high inflammation level. Among patients with stage C/D, the corresponding HR (95% CI) of HF hospitalization was 1.98 (1.28–3.04) for moderate inflammation level, and 2.69 (1.69–4.28) for high inflammation level. Conclusion Patterns of inflammation severity may have differing prognostic meaning across UDHF stages.