Bernhard Riedel1, Michael H-G Li2, C H Angus Lee3, Hilmy Ismail4, Brian H Cuthbertson5, Duminda N Wijeysundera6, Kwok M Ho7. 1. Department of Anaesthesia, Perioperative and Pain Medicine, Peter MacCallum Cancer Centre, Melbourne, Australia; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Australia; Centre for Integrated Critical Care Medicine, University of Melbourne, Melbourne, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia. Electronic address: bernhard.riedel@petermac.org. 2. Department of Anaesthesia, Perioperative and Pain Medicine, Peter MacCallum Cancer Centre, Melbourne, Australia. 3. Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Australia. 4. Department of Anaesthesia, Perioperative and Pain Medicine, Peter MacCallum Cancer Centre, Melbourne, Australia; Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Australia; Centre for Integrated Critical Care Medicine, University of Melbourne, Melbourne, Australia. 5. Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada; Institute of Health, Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. 6. Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada; Institute of Health, Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Department of Anesthesia, St Michael's Hospital, Toronto, ON, Canada. 7. Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Australia; Medical School, University of Western Australia, Perth, Australia; School of Veterinary and Life Sciences, Murdoch University, Perth, Australia.
Abstract
BACKGROUND: Accurate assessment of functional capacity, a predictor of postoperative morbidity and mortality, is essential to improving surgical planning and outcomes. We assessed if all 12 items of the Duke Activity Status Index (DASI) were equally important in reflecting exercise capacity. METHODS: In this secondary cross-sectional analysis of the international, multicentre Measurement of Exercise Tolerance before Surgery (METS) study, we assessed cardiopulmonary exercise testing and DASI data from 1455 participants. Multivariable regression analyses were used to revise the DASI model in predicting an anaerobic threshold (AT) >11 ml kg-1 min-1 and peak oxygen consumption (VO2 peak) >16 ml kg-1 min-1, cut-points that represent a reduced risk of postoperative complications. RESULTS: Five questions were identified to have dominance in predicting AT>11 ml kg-1 min-1 and VO2 peak>16 ml.kg-1min-1. These items were included in the M-DASI-5Q and retained utility in predicting AT>11 ml.kg-1.min-1 (area under the receiver-operating-characteristic [AUROC]-AT: M-DASI-5Q=0.67 vs original 12-question DASI=0.66) and VO2 peak (AUROC-VO2 peak: M-DASI-5Q 0.73 vs original 12-question DASI 0.71). Conversely, in a sensitivity analysis we removed one potentially sensitive question related to the ability to have sexual relations, and the ability of the remaining four questions (M-DASI-4Q) to predict an adequate functional threshold remained no worse than the original 12-question DASI model. Adding a dynamic component to the M-DASI-4Q by assessing the chronotropic response to exercise improved its ability to discriminate between those with VO2 peak>16 ml.kg-1.min-1 and VO2 peak<16 ml.kg-1.min-1. CONCLUSIONS: The M-DASI provides a simple screening tool for further preoperative evaluation, including with cardiopulmonary exercise testing, to guide perioperative management.
BACKGROUND: Accurate assessment of functional capacity, a predictor of postoperative morbidity and mortality, is essential to improving surgical planning and outcomes. We assessed if all 12 items of the Duke Activity Status Index (DASI) were equally important in reflecting exercise capacity. METHODS: In this secondary cross-sectional analysis of the international, multicentre Measurement of Exercise Tolerance before Surgery (METS) study, we assessed cardiopulmonary exercise testing and DASI data from 1455 participants. Multivariable regression analyses were used to revise the DASI model in predicting an anaerobic threshold (AT) >11 ml kg-1 min-1 and peak oxygen consumption (VO2 peak) >16 ml kg-1 min-1, cut-points that represent a reduced risk of postoperative complications. RESULTS: Five questions were identified to have dominance in predicting AT>11 ml kg-1 min-1 and VO2 peak>16 ml.kg-1min-1. These items were included in the M-DASI-5Q and retained utility in predicting AT>11 ml.kg-1.min-1 (area under the receiver-operating-characteristic [AUROC]-AT: M-DASI-5Q=0.67 vs original 12-question DASI=0.66) and VO2 peak (AUROC-VO2 peak: M-DASI-5Q 0.73 vs original 12-question DASI 0.71). Conversely, in a sensitivity analysis we removed one potentially sensitive question related to the ability to have sexual relations, and the ability of the remaining four questions (M-DASI-4Q) to predict an adequate functional threshold remained no worse than the original 12-question DASI model. Adding a dynamic component to the M-DASI-4Q by assessing the chronotropic response to exercise improved its ability to discriminate between those with VO2 peak>16 ml.kg-1.min-1 and VO2 peak<16 ml.kg-1.min-1. CONCLUSIONS: The M-DASI provides a simple screening tool for further preoperative evaluation, including with cardiopulmonary exercise testing, to guide perioperative management.
Authors: Daniel Steffens; Jane Young; Bernhard Riedel; Rachael Morton; Linda Denehy; Alexander Heriot; Cherry Koh; Qiang Li; Adrian Bauman; Charbel Sandroussi; Hilmy Ismail; Mbathio Dieng; Nabila Ansari; Neil Pillinger; Sarah O'Shannassy; Sam McKeown; Derek Cunningham; Kym Sheehan; Gino Iori; Jenna Bartyn; Michael Solomon Journal: BMC Cancer Date: 2022-04-22 Impact factor: 4.638