Is estimated cardiorespiratory fitness an effective predictor for cardiovascular and all-cause mortality? A meta-analysis

Qiu, Shanhu1,2; Cai, Xue1; Sun, Zilin1,3; Wu, Tongzhi4,5; Schumann, Uwe6

2021-08-01

10.1016/j.atherosclerosis.2021.06.904

ATHEROSCLEROSIS   影响因子和分区

0021-9150

1879-1484

Background and aims: Estimated cardiorespiratory fitness (eCRF) derived from algorithm correlates well with exercise testing-measured CRF, yet its clinical use for mortality risk stratification has not been systematically evaluated. This meta-analysis with dose-response analysis was conducted to quantify its association with risk of cardiovascular and all-cause mortality. Methods: Electronic databases were searched for prospective cohort studies that investigated the association of eCRF with risk of cardiovascular and all-cause mortality. Study-specific multivariate-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) per 1-metabolic equivalent (MET) higher of eCRF were pooled using a random-effects model. Results: Twenty-five datasets from 8 cohort studies that enrolled more than 170,000 participants were included. The summary HR per 1-MET higher of eCRF was 0.83 (95% CI 0.80 to 0.86) for cardiovascular mortality (11 datasets) and 0.83 (95% CI 0.78 to 0.88) for all-cause mortality (14 datasets) in the general population. These associations showed no sex-difference and were all linearly shaped (all pnonlinearity >= 0.27). The performance of eCRF (assessed by the area under the curve) in discriminating future risk of cardiovascular and all-cause mortality was higher than all its components (such as physical activity, resting heart rate, and body mass index, all p < 0.05), but slightly lower than exercise testing-measured CRF. Conclusions: Higher eCRF was independently associated with lower risk of cardiovascular and all-cause mortality in the general population, indicating that eCRF might hold the potential as an effective and practical risk prediction tool in epidemiological or population research.

Estimated cardiorespiratory fitness Cardiovascular mortality All-cause mortality Meta-analysis

SCI

英语

其他

Diabetes Fund from Chinese Society of Microcirculation[TW2018H005] ; Nanjing Special Fund for Health Science and Technology Development[YKK18261] ; National Key R&D Program of China[2016YFC1305700]

Cardiovascular System & Cardiology

Cardiac & Cardiovascular Systems ; Peripheral Vascular Disease

WOS:000679477100004

ELSEVIER IRELAND LTD

CLINICAL MEDICINE

Web of Science

1.Southeast Univ, Zhongda Hosp, Sch Med, Inst Diabet, Dingjiaqiao St 87, Nanjing 210009, Peoples R China
2.Southern Univ Sci & Technol, Dept Endocrinol, Shenzhen Peoples Hosp, Clin Med Coll 2,Jinan Univ,Affiliated Hosp 1, Shenzhen, Peoples R China
3.Southeast Univ, Zhongda Hosp, Dept Endocrinol, Nanjing, Peoples R China
4.Univ Adelaide, Adelaide Med Sch, Adelaide, SA, Australia
5.Univ Adelaide, Ctr Res Excellence CRE Translating Nutr Sci Good, Adelaide, SA, Australia
6.Ulm Univ, Med Ctr, Ulm, Germany

Qiu, Shanhu,Cai, Xue,Sun, Zilin,et al. Is estimated cardiorespiratory fitness an effective predictor for cardiovascular and all-cause mortality? A meta-analysis[J]. ATHEROSCLEROSIS,2021,330.

Qiu, Shanhu,Cai, Xue,Sun, Zilin,Wu, Tongzhi,&Schumann, Uwe.(2021).Is estimated cardiorespiratory fitness an effective predictor for cardiovascular and all-cause mortality? A meta-analysis.ATHEROSCLEROSIS,330.

Qiu, Shanhu,et al."Is estimated cardiorespiratory fitness an effective predictor for cardiovascular and all-cause mortality? A meta-analysis".ATHEROSCLEROSIS 330(2021).