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Prediction of Cardiovascular Mortality by Estimated Cardiorespiratory Fitness Independent of Traditional Risk Factors: The HUNT Study
Authors:Javaid Nauman  Bjarne M. Nes  Carl J. Lavie  Andrew S. Jackson  Xuemei Sui  Jeff S. Coombes  Steven N. Blair  Ulrik Wisløff
Affiliation:1. K.G. Jebsen Center for Exercise in Medicine, Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway;2. Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, University of Queensland School of Medicine, New Orleans, LA;3. Department of Health and Human Performance, University of Houston, Houston, TX;4. Department of Exercise Science, University of South Carolina, Columbia, SC;5. School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, Queensland, Australia
Abstract:

Objective

To assess the predictive value of estimated cardiorespiratory fitness (eCRF) and evaluate the additional contribution of traditional risk factors in cardiovascular disease (CVD) mortality prediction.

Participants and Methods

The study included healthy men (n=18,721) and women (n=19,759) aged 30 to 74 years. A nonexercise algorithm estimated cardiorespiratory fitness. Cox proportional hazards models evaluated the primary (CVD mortality) and secondary (all-cause, ischemic heart disease, and stroke mortality) end points. The added predictive value of traditional CVD risk factors was evaluated using the Harrell C statistic and net reclassification improvement.

Results

After a median follow-up of 16.3 years (range, 0.04-17.4 years), there were 3863 deaths, including 1133 deaths from CVD (734 men and 399 women). Low eCRF was a strong predictor of CVD and all-cause mortality after adjusting for established risk factors. The C statistics for eCRF and CVD mortality were 0.848 (95% CI, 0.836-0.861) and 0.878 (95% CI, 0.862-0.894) for men and women, respectively, increasing to 0.851 (95% CI, 0.839-0.863) and 0.881 (95% CI, 0.865-0.897), respectively, when adding clinical variables. By adding clinical variables to eCRF, the net reclassification improvement of CVD mortality was 0.014 (95% CI, ?0.023 to 0.051) and 0.052 (95% CI, ?0.023 to 0.127) in men and women, respectively.

Conclusion

Low eCRF is independently associated with CVD and all-cause mortality. The inclusion of traditional clinical CVD risk factors added little to risk discrimination and did not improve the classification of risk beyond this simple eCRF measurement, which may be proposed as a practical and cost-effective first-line approach in primary prevention settings.
Keywords:BP  blood pressure  CRF  cardiorespiratory fitness  CV  cardiovascular  CVD  CV disease  eCRF  estimated CRF  HDL-C  high-density lipoprotein cholesterol  HUNT  Nord-Trøndelag Health Study  IDI  integrated discrimination improvement  IHD  ischemic heart disease  MET  metabolic equivalent  NRI  net reclassification improvement  PA  physical activity  rHR  resting heart rate  WC  waist circumference
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