Assessing the accuracy of algorithm-derived cardiorespiratory fitness in surgical patients: a prospective cohort study
| Autor: | Barry A. Finegan, Ferrante S. Gragasin, Robert G. Haennel, Kieran Purich, Daniella San Martin-Feeney, Fadi Hammal, Tanis Quaife |
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| Rok vydání: | 2017 |
| Předmět: |
Male
medicine.medical_specialty Waist Vital signs 030204 cardiovascular system & hematology Cohort Studies 03 medical and health sciences 0302 clinical medicine 030202 anesthesiology Surveys and Questionnaires Anesthesiology Preoperative Care Humans Medicine Prospective Studies Elective surgery Prospective cohort study Aged Aged 80 and over business.industry Reproducibility of Results Cardiorespiratory fitness General Medicine Middle Aged Anesthesiology and Pain Medicine Cardiorespiratory Fitness Surgical Procedures Operative Exercise Test Physical therapy Female business Algorithm Algorithms Cohort study Surgical patients |
| Zdroj: | Canadian Journal of Anesthesia/Journal canadien d'anesthésie. 64:361-369 |
| ISSN: | 1496-8975 0832-610X |
| Popis: | To determine if a non-exercise algorithm-derived assessment of cardiorespiratory fitness (CRFA) accurately predicted estimated values obtained using a six-minute walk test (CRF6MWD) and the Duke Activity Status Index (CRFDASI). Following research ethics board approval, an observational cohort study was conducted in selected, consenting patients undergoing elective surgery. Participants completed questionnaires assessing their self-reported exercise capacity. Their height, weight, waist circumference, and vital signs were measured. A six-minute walk test was performed twice with a 45-min rest interval between tests. The correlation between CRFA and both CRF6MWD and CRFDASI was determined. Two hundred forty-two participants were included. Mean age was 62 (range 45-88 yr); 150 (62%) were male, 87 (36%) self-reported walking or jogging > 16 km per week, and 49 (20%) were current smokers. The CRFA and CRF6MWD were highly correlated (Pearson r = 0.878; P 427 m in the six-minute walk test, CRFA, CRF6MWD, and CRFDASI were equivalent. A non-exercise algorithm can estimate cardiorespiratory fitness in patients presenting for elective surgery. The variables required to compute CRFA can be obtained in a clinic setting without the need to engage in formal exercise testing. Further evaluation of CRFA as a predictor of long-term outcome in patients is warranted. |
| Databáze: | OpenAIRE |
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