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Wu, Yuping

https://orcid.org/0000-0002-7892-1876

Mayo Clinic

Cleveland State University

Citations 1

Risk stratification with the Haemodynamic Gain Index and peak rate-pressure product in patients with chronic heart failure undergoing treadmill exercise testing
Finet, J. Emanuel , Wu, Yuping , Grodin, Justin L. , Tang, W.H. Wilson , Chaikijurajai, Thanat, Tang, W H Wilson , Chaikijurajai, Thanat , Harb, Serge C. , Jaber, Wael A.

European Journal of Preventive Cardiology | February 6, 2025 | Volume: 32 | Issue: 11 | Pages: 939-946

10.1093/eurjpc/zwaf046 Get It

Abstract Aims We recently demonstrated the combined prognostic value of the following two simple non-invasive parameters obtained from treadmill exercise testing in patients with heart failure (HF) with reduced ejection fraction: the Haemodynamic Gain Index (HGI) and peak rate-pressure product (RPP). However, their prognostic value is yet to be validated in patients with undifferentiated HF syndrome. Methods and results We identified consecutive HF patients undergoing treadmill exercise testing for symptom evaluation between January 1991 and February 2015. The HGI was calculated from [(SBPpeak × heart ratepeak) – (SBPrest × heart raterest)]/(SBPrest × heart raterest), and the peak RPP was calculated from SBPpeak × heart ratepeak. Hazard ratios per standard deviation increase of the HGI and peak RPP for all-cause mortality were estimated using multivariable Cox regression models with adjustment for traditional cardiovascular risk factors and exercise-testing parameters (Chronotropic Reserve Index, estimated metabolic equivalents, abnormal heart rate recovery, and total exercise time). In our cohort of 5940 patients with symptomatic HF diagnosis with a median follow-up of 7.1 years, 2222 (37.4%) patients died. Higher values of both HGI and peak RPP were associated with a lower risk of mortality [adjusted hazard ratio per standard deviation increase 0.80 (0.73–0.88) and 0.85 (0.78–0.91), respectively, all P < 0.001]. Optimal cut-off values for HGI and peak RPP for discriminating all-cause mortality were 1.06 and 180 966, respectively. Conclusion Both HGI and peak RPP are predictors of mortality in patients with chronic HF and may be tools to signal the need for advanced HF therapy evaluation.