Comparison of six frailty assessment tools for predicting short-term adverse outcomes in elderly colorectal cancer patients after surgery
Journal Title: Chinese Journal of Clinical Research - Year 2024, Vol 37, Issue 2
Abstract
<b>Objective</b> Preoperative frailty in elderly patients with colorectal cancer was evaluated using six frailty assessment tools, frailty phenotype (FP), frailty scale (FRAIL), clinical frailty scale (CFS), Tilburg frailty index (TFI), Edmonton frailty scale (EFS) and Groningen frailty index (GFI). The predictive levels of each scale for short-term adverse outcomes after surgery were compared. <b>Methods</b> A total of 290 elderly patients undergoing laparoscopic radical resection of colorectal cancer in Cancer Hospital Affiliated of Guangxi Medical University from June 2021 to February 2023 were selected as the study subjects. FP, FRAIL, CFS, TFI, EFS, and GFI were used to assess the patient ‘s frailty status. Baseline data and postoperative disability, complications, prolonged hospital stay, and increased treatment costs were collected. The predictive levels of 6 scales for short-term adverse outcomes after surgery were evaluated by receiver operating characteristic (ROC) curves. <b>Results</b> The evaluation of FP, FRAIL, CFS, TFI, EFS and GFI showed that the frailty rate was 41.3%, 29.6%, 38.6%, 65.5%, 37.9% and 38.6%, respectively. There was a statistically significant difference in the detection rates of the six attenuation tools (χ2=88.510, P＜0.01). The maximum AUC for postoperative disability and increased treatment costs were 0.814 and 0.661 predicted by FP. The maximum AUC for postoperative complications and prolonged hospital stay were 0.741 and 0.754 predicted by FRAIL. <b>Conclusion</b> Different frailty tools have significant differences in the detection rate of frailty, with poor consistency; Based on the characteristics and advantages of the tool, taking into account both time and cost, FRAIL is the best predictor of short-term adverse outcomes after surgery.
Authors and Affiliations
CHEN Sirui*, CHEN Ying, WU Lili, YAN Xiaochang, SU Lin, YANG Xuemei, LIANG Xiang
Keywords
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- EP ID EP736519
- DOI 10. 13429/j.cnki.cjcr.2024.02.014
- Views 28
- Downloads 0
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