| Autor: |
Jonathan, Myers, Khin, Chan, Isabelle M C, Tan, Nicholas, Bail, Shirit, Kamil-Rosenberg, Hunter, Zell, Tabbasum, Waheed, Pooja, Mathew |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Cardiopulmonary Rehabilitation and Prevention. 42:278-285 |
| ISSN: |
1932-7501 |
| DOI: |
10.1097/hcr.0000000000000695 |
| Popis: |
Cardiorespiratory fitness (CRF) has recently been recognized as a risk factor for mortality, but it is not routinely measured in clinical settings. The purpose of this study was to assess a nonexercise method to estimate CRF (eCRF) and its association with mortality in a clinically referred population.A symptom tool, termed the Veterans Specific Activity Questionnaire (VSAQ), and nonexercise clinical variables were obtained from 1545 clinically referred subjects (60 ± 13 yr), and followed for a mean of 5.6 ± 4.2 yr. The VSAQ along with nonexercise clinical and historical variables was used to develop a multivariate model to predict achieved CRF from maximal exercise testing. Proportional hazards analysis was used to assess the association between measured and eCRF and all-cause mortality.The eCRF model was significantly associated with achieved CRF (multiple R = 0.67, P.001). Mean achieved CRF from maximal treadmill testing and eCRF were similar (8.6 ± 5.0 metabolic equivalents [METs] vs 8.7 ± 4.7 METs respectively, P = .27). Achieved CRF and eCRF performed similarly for predicting mortality. After full adjustment, each 1 MET higher increment in achieved CRF and eCRF was associated with 19% and 26% reductions in mortality risk, respectively. Compared with the lowest fit group (5 METs), the highest CRF groups (11 METs) had 88% and 87% lower risks for mortality for achieved CRF and eCRF, respectively.A multivariable nonexercise model featuring a symptom questionnaire combined with clinical variables that are readily available during a typical clinical encounter had a reasonably strong association with achieved CRF and exhibited prognostic characteristics that were similar to achieved CRF. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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