Validation of prognostic value of the hemodynamic gain index in different groups of patients undergoing exercise stress testing

Abstract

Background: Recently, the hemodynamic gain index (HGI) has shown to be a strong independent predictor of all-cause mortality and associated with metabolic equivalents (METs) in a cohort of male patients. However, the prognostic implications of the HGI have never been externally validated with subgroup analyses based on gender, body mass index (BMI) of 35 kg/m2, history of heart failure (HF), coronary artery disease (CAD) and beta-blocker use. Methods: We identified 126,356 consecutive patients undergoing treadmill exercise testing between January 1st, 1991 and February 27th, 2015. HGI was calculated using the formula: [(SBPpeak × HRpeak) − (SBPrest × HRrest)] / (SBPrest × HRrest). Cox regression models were used to determine the associations between HGI quartiles and all-cause mortality with adjustment for cardiovascular risk factors and exercise testing parameters. Results: Mean age was 53.5 ± 12.6 years. There were 74,724 (59.1 %) male, 5940 (4.7 %) HF, 21,123 (16.7 %) CAD, and 30,568 (24.2 %) beta-blocker-using patients. During the median follow up of 7.1 years, 9929 (7.9 %) died. Median HGI was 1.93 (interquartile range [IQR] 1.40–2.54) bpm/mmHg. After adjustment for the covariates, lower HGI was independently associated with all-cause mortality in the entire cohort (quartile 1 vs 4, adjusted hazard ratio [95 % confidence interval] 1.33 [IQR 1.21–1.45], p < 0.001), and subgroups of men, women, patients with body mass index <35 kg/m2, with and without HF, CAD, and beta-blocker use. The HGI also correlates well with METs in every subgroup. Conclusions: The HGI is a strong predictor of long-term mortality independently of traditional cardiovascular risk factors, and exercise performance across patient subgroups.

Keywords

• Hemodynamic gain index
• Mortality
• Heart failure
• Coronary artery disease
• beta-blocker