Prognostic Models Derived in PARADIGM-HF and Validated in ATMOSPHERE and the Swedish Heart Failure Registry to Predict Mortality and Morbidity in Chronic Heart Failure

Importance Accurate prediction of risk of death or hospitalizations in patients with heart failure (HF) may allow physicians to explore how more accurate decisions regarding appropriateness and timing of disease-modifying treatments, advanced therapies, or the need for end-of-life care can be made. Objective To develop and validate a prognostic model for patients with HF. Design, Setting, and Participants Multivariable analyses were performed in a stepwise fashion. Harrell C statistic was used to assess the discriminative ability. The derivation cohort was Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure trial (PARADIGM-HF) participants. The models were validated using the Aliskiren Trial to Minimize Outcomes in Patients with Heart Failure Trial (ATMOSPHERE) study and in the Swedish Heart Failure Registry (SwedeHF). A total of 8399 participants enrolled in PARADIGM-HF. Data were analyzed between June 2016 and June 2018. Main Outcomes and Measures Cardiovascular death, all-cause mortality, and the composite of cardiovascular death or HF hospitalization at both 1 and 2 years. Results Complete baseline clinical data were available for 8011 patients in PARADIGM-HF. The mean (SD) age of participants was 64 (11.4) years, 78.2% were men (n = 6567 of 8399), and 70.6% were New York Heart Association class II (n = 5919 of 8399). During a mean follow-up of 27 months, 1546 patients died, and 2031 had a cardiovascular death or HF hospitalization. The common variables were: male sex, race/ethnicity (black or Asian), region (Central Europe or Latin America), HF duration of more than 5 years, New York Heart Association class III/ IV, left ventricular ejection fraction, diabetes mellitus, beta-blocker use at baseline, and allocation to sacubitril/valsartan. Ranked by chi(2), N-terminal pro brain natriuretic peptide was the single most powerful independent predictor of each outcome. The C statistic at 1 and 2 years was 0.74 (95% CI, 0.71-0.76) and 0.71 (95% CI, 0.70-0.73) for the primary composite end point, 0.73 (95% CI, 0.71-0.75) and 0.71 (95% CI, 0.69-0.73) for cardiovascular death, and 0.71 (95% CI, 0.69-0.74) and 0.70 (95% CI, 0.67-0.74) for all-cause death, respectively. When validated in ATMOSPHERE, the C statistic at 1 and 2 years was 0.71 (95% CI, 0.69-0.72) and 0.70 (95% CI, 0.68-0.71) for the primary composite end point, 0.71 (95% CI, 0.69-0.74) and 0.70 (95% CI, 0.69-0.72) for cardiovascular death, and 0.71 (95% CI, 0.69-0.74) and 0.70 (95% CI, 0.68-0.72) for all-cause death, respectively. An online calculator was created to allow calculation of an individual's risk (). Conclusions and Relevance Predictive models performed well and were developed and externally validated in large cohorts of geographically representative patients, comprehensively characterized with clinical and laboratory data including natriuretic peptides, who were receiving contemporary evidence-based treatment.