ArticleClinical cardiology2020
Cardiorespiratory fitness improves prediction of mortality of standard cardiovascular risk scores in a Latino population.
Article in Clinical cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Relationship between change in body composition and cardiorespiratory fitness during cardiac rehabilitation in patients with cardiovascular disease.Frontiers in endocrinology · 2026Article
- Impact of body mass index on outcomes of cardiac rehabilitation: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Review
- Comparing cardiorespiratory fitness and physical activity levels between third- and fifth-year medical students in a South African university.South African journal of sports medicine · 2024Article
- Updating Framingham CVD risk score using waist circumference and estimated cardiopulmonary function: a cohort study based on a southern Xinjiang population.BMC public health · 2022Article
- Physical Activity and Cardiorespiratory Fitness: Vital Signs for Cardiovascular Risk Assessment.Current cardiology reports · 2021Review
- Cardiorespiratory fitness improves prediction of mortality of standard cardiovascular risk scores in a Latino population.Clinical cardiology · 2020Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiorespiratory fitness (CRF) is a powerful predictor of mortality. This study evaluated the predictive value of CRF for mortality in Chilean subjects without atherosclerotic disease compared with the Framingham, European Systematic Coronary Risk Evaluation (SCORE), and 2013 ACC/AHA risk scores and determined the incremental predictive value of CRF when added to these scores. HYPOTHESIS: CRF improves prediction of all-cause and cardiovascular disease (CVD)-related mortality of the standard international risk scores.
methodsCross-sectional study, which evaluated 4064 subjects between 2002 and 2016. Cardiovascular (CV) risk factors, anthropometric and biochemical parameters, and blood pressure were measured. CRF was determined by metabolic equivalents during maximum stress test. The Framingham, SCORE, and ACC/AHA risk scores were calculated for all subjects. After a median follow-up of 9 years, all-cause and CVD-related mortality were assessed. Receiver operating curves were built to determine mortality prediction for CRF, the risk scores, and CRF added to the scores.
resultsAs of August 2016, 99 deaths were reported, 33 of which were CVD-related. All risk scores and CRF predicted CVD-related mortality, with CRF identified as the best predictor: CRF: C = 0.88 (95% CI: 0.82-0.93) vs Framingham: C = 0.68 (95% CI: 0.60-0.76), SCORE: C = 0.76 (95% CI: 0.70-0.83), and ACC/AHA: C = 0.79 (95% CI: 0.73-0.85). Predictive power of the three scores improved when CRF was added to the model, but this was only significant for the Framingham score.
conclusionsCRF is a good predictor of both, all-cause and CV mortality and a better predictor of CVD-related deaths than standard risk scores in this population.
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