Risk Stratification Via HF-QRS and Fibrosis Biomarkers in Heart Failure

This study aims to evaluate whether high-frequency QRS (HF-QRS) signal parameters and circulating myocardial fibrosis biomarkers (such as PIIINP, Galectin-3, and sST2) can improve risk stratification in patients with chronic heart failure (CHF). In this prospective, multicenter cohort study (STRIVE cohort), patients with CHF will be enrolled and followed for 18 months. Clinical data, routine heart function measures (such as NT-proBNP and LVEF), HF-QRS features from standard 12-lead ECG, and serum fibrosis biomarker levels will be collected. The study will assess the association of HF-QRS abnormalities and fibrosis biomarker levels with major clinical outcomes, including cardiovascular mortality, first heart failure-related rehospitalization, malignant arrhythmia events, all-cause rehospitalization and mortality. By integrating electrophysiological and molecular markers, this research aims to develop a novel, non-invasive predictive model to support early risk identification and personalized management of heart failure patients.

Heart failure (HF) remains a leading cause of morbidity, hospitalization, and mortality worldwide. Traditional risk assessment tools, such as left ventricular ejection fraction (LVEF) and NT-proBNP levels, are widely used but have limitations in early identification of high-risk patients, particularly those with subclinical myocardial injury or conduction abnormalities. Recent advances suggest that high-frequency QRS (HF-QRS) signal abnormalities extracted from standard 12-lead ECGs can sensitively detect microstructural myocardial changes, such as fibrosis and conduction disruption, earlier than conventional markers. Additionally, circulating biomarkers associated with myocardial fibrosis (including PIIINP, Galectin-3, and sST2) have emerged as promising indicators of cardiac remodeling and disease progression. The STRIVE (Stratification Risk Via HF-QRS and Fibrosis Biomarkers in Heart Failure) Cohort is a prospective, multicenter observational study designed to systematically evaluate the prognostic significance of HF-QRS parameters and fibrosis biomarkers in patients with chronic heart failure (CHF). Approximately 1500 patients with clinically stable CHF will be enrolled across multiple centers and followed for 18 months. Baseline data collection will include demographics, medical history, laboratory measures, standard echocardiographic parameters, HF-QRS signal analysis, and serum fibrosis biomarker levels (measured by ELISA). Clinical outcomes including cardiovascular death, first HF rehospitalization, malignant arrhythmia events, and all-cause rehospitalization will be prospectively recorded. The study aims to assess the independent and incremental predictive value of HF-QRS and fibrosis biomarkers over traditional risk models. Furthermore, a multivariable prediction model integrating electrophysiological and molecular markers will be developed and internally validated to support dynamic risk stratification and personalized management strategies for CHF patients.