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Comparison of preoperative assessment tools in older patients undergoing cancer surgery: A prospective study

机译:Comparison of preoperative assessment tools in older patients undergoing cancer surgery: A prospective study

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Introduction: Surgery in older adults with cancer is complex due to multiple age related confounding factors. There are many scoring systems available for preoperative risk stratifications of older patients. Currently very few prospective studies comparing the various commonly used scales are available. This is the first study which compares the established preoperative risk assessment tools of Eastern Cooperative Oncology Group Performance Scale (ECOG) and American Society of Anaesthesiologists Physical Status Scale (ASA) with frailty scores of Modified Frailty Index (MFI) and Clinical Frailty Scale (CFS). Material and Methods: This is a prospective observational study of older patients with cancer who underwent oncosurgery in a tertiary cancer centre during the one-year study period. Patients were scored on the CFS, MFI, ASA and ECOG scales. All patients were followed up for 30 days immediately following surgery and their post operative complications were documented. Univariate and multivariate analyses were done and a p value of 0.05). On multivariate analysis, morbidity was significantly associated only with male gender (p = 0.015), higher cancer stage (p = 0.005), higher ASA score (p = 0.029), and prolonged hospital stay (p = 0.001). Mortality was significantly associated only with emergency surgery (p = 0.012) and prolonged hospital stay (p = 0.004), and prolonged hospital stay was significantly associated with advanced cancer stage (p = 0.001) and emergency surgery (p = 0.02). Conclusions: In older patients undergoing cancer surgery, ASA and CFS are predictors of prolonged postoperative stay, morbidity, mortality, and readmission. A high-risk ECOG score is predictive of prolonged post operative stay, 30-day morbidity, and mortality, but not of readmission. Score on MFI is not a predictor of postoperative outcomes. Newer predictive tools which include cancer- specific factors are required for better management of these patients.
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