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Hemodynamic Gain Index Is Associated With Cardiovascular Mortality and Improves Risk Prediction: A PROSPECTIVE COHORT
Jari A Laukkanen1, Nzechukwu M Isiozor, Peter Willeit
1Central Finland Health Care District Hospital District, Department of Medicine, Finland District, Jyväskylä, Finland, and Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland (Dr Laukkanen); Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, Kuopio, Finland (Drs Laukkanen and Isiozor); Clinical Epidemiology Team, Medical University of Innsbruck, Innsbruck, Austria, and Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom (Dr Willeit); and Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, United Kingdom, and National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, United Kingdom, and Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Learning & Research Building (Level 1), Southmead Hospital, Bristol, United Kingdom (Dr Kunutsor).
Insights
The hemodynamic gain index (HGI) is linked to lower cardiovascular disease (CVD) mortality risk, though this association is partly influenced by cardiorespiratory fitness (CRF). The HGI enhances CVD risk prediction models.
Area of Science:
- Cardiology
- Exercise Physiology
- Preventive Medicine
Background:
- Cardiopulmonary exercise testing (CPX) assesses hemodynamic gain index (HGI) and cardiorespiratory fitness (CRF).
- The relationship between HGI and cardiovascular disease (CVD) mortality remains unclear.
- Prospective studies are needed to clarify this association.
Purpose of the Study:
- To investigate the association between the hemodynamic gain index (HGI) and risk of cardiovascular disease (CVD) mortality.
- To determine if HGI improves CVD mortality risk prediction.
- To evaluate the independent and combined roles of HGI and cardiorespiratory fitness (CRF) in CVD mortality.
Main Methods:
- A prospective study involving 1634 men aged 42-61 years undergoing CPX.
- HGI calculated using heart rate (HR) and systolic blood pressure (SBP) during CPX.
- Cardiorespiratory fitness (CRF) measured directly using respiratory gas exchange analysis.
Main Results:
- Over a median follow-up of 28.7 years, 439 CVD deaths occurred.
- Higher HGI was associated with a continuous decrease in CVD mortality risk.
- While HGI improved risk prediction, its association was partly explained by CRF; CRF independently predicted CVD mortality.
Conclusions:
- Increased HGI is inversely associated with CVD mortality in a dose-dependent manner.
- The predictive value of HGI for CVD mortality is partially dependent on CRF levels.
- Incorporating HGI into risk models enhances CVD mortality prediction and reclassification accuracy.
Purpose:
The hemodynamic gain index (HGI) and cardiorespiratory fitness (CRF) are parameters assessed during cardiopulmonary exercise testing (CPX). The association between the HGI and cardiovascular disease (CVD) mortality is uncertain. We evaluated the association between the HGI and CVD mortality risk using a prospective study.
Methods:
The HGI was calculated using heart rate (HR) and systolic blood pressure (SBP) measured in 1634 men aged 42-61 yr during CPX, using the formula: [(HR peak × SBP peak ) - (HR rest × SBP rest )]/(HR rest × SBP rest ). Cardiorespiratory fitness was directly measured using a respiratory gas exchange analyzer.
Results:
During a median (IQR) follow-up of 28.7 (19.0, 31.4) yr, 439 CVD deaths occurred. The risk of CVD mortality decreased continuously with the increasing HGI ( P value for nonlinearity = .28). Each unit higher HGI (1.06 bpm/mm Hg) was associated with a decreased risk of CVD mortality (HR = 0.80: 95% CI, 0.71-0.89), which was attenuated after further adjustment for CRF (HR = 0.92: 95% CI, 0.81-1.04). Cardiorespiratory fitness was associated with CVD mortality and the association remained after adjustment for the HGI: (HR = 0.86: 95% CI, 0.80-0.92) per each unit (MET) higher CRF. Addition of the HGI to a CVD mortality risk prediction model improved risk discrimination (C-index change = 0.0285; P < .001) and reclassification (net reclassification improvement = 8.34%; P < .001). The corresponding values for CRF were a C-index change of 0.0413 ( P < .001) and a categorical net reclassification improvement of 14.74% ( P < .001).
Conclusions:
The higher HGI is inversely associated with CVD mortality in a graded fashion, but the association is partly dependent on CRF levels. The HGI improves the prediction and reclassification of the risk for CVD mortality.
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