Purpose
Systemic inflammation and reciprocal organ interactions are associated with the pathophysiology of heart failure with preserved ejection fraction (HFpEF). Herein, we proposed a simple diagnostic model with markers from complete routine blood test as well as liver and renal dysfunction for HFpEF.
Patients and methods:
This is a hospital-based single-center, cross-sectional observation study. 1808 eligible patients with documented cardiovascular diseases were enrolled. HFpEF was diagnosed independently by two expert cardiologists according to the clinical manifestation, echocardiography and the N-Terminal pro B-type natriuretic peptide. A diagnostic model for HFpEF was developed by logistic regression and assessed by ROC and Brier score. Then, the model was validated by the 10-fold cross-validation and presented as nomogram and a web-based online risk calculator as well.
Results
Patients with HFpEF account for 47.23% in development data. Univariate, multivariate and LASSO regression analysis revealed that age, Hb, NLR, AST/ALT ratio, Cr, UA, atrial fibrillation, and pulmonary arterial hypertension were associated with HFpEF. The predictive model exhibited reasonably accurate discrimination (ROC, 0.753, 95% CI, 0.732 to 0.772) and calibration (Brier score was 0.200). Subsequent internal validation showed good discrimination and calibration (AUC = 0.750, Brier score was 0.202).
Conclusion
Our new diagnostic model incorporating markers of inflammation, liver-heart and kidney-heart interactions has the predictive ability for HFpEF, and may be helpful for timely diagnosis of patients with HFpEF.