Assessment for frailty is useful for predicting morbidity in elderly patients undergoing colorectal cancer resection whose comorbidities are already optimized
- PMID: 22178483
- DOI: 10.1016/j.amjsurg.2011.08.012
Assessment for frailty is useful for predicting morbidity in elderly patients undergoing colorectal cancer resection whose comorbidities are already optimized
Abstract
Background: The clinical syndrome of frailty identified through the assessment of weight loss, gait speed, grip strength, physical activity, and physical exhaustion has been used to identify patients with reduced reserves. We hypothesized that frailty is useful in predicting adverse outcomes in optimized elective elderly colorectal surgery patients.
Methods: A prospective study was conducted at 2 centers (Singapore and Japan). All patients over 75 years of age undergoing colorectal resection were assessed for the presence of the syndrome of frailty. All these patients had already had their comorbidities optimized for surgery. The outcome measure was postoperative major complications (defined as Clavien-Dindo type II and above complications).
Results: Eighty-three patients were studied from February 2008 to April 2010. The mean age was 81.5 years (range 75-93 years). The mean comorbidity index was 3.37 (range 0-11). Twenty-six (31.3%) patients were an American Society of Anesthesiologists (ASA) score of 3 and above. Chi-square analysis revealed that the odds ratio of postoperative major complications was 4.083 (95% confidence interval, 1.433-11.638) when the patient satisfied the criteria for frailty. Albumin <35, ASA >3, comorbidity index >5, and Physiologic and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) scores were not predictive of postoperative major complications.
Conclusions: Preliminary findings show that frailty is a potent adjunctive tool of predicting postoperative morbidity. Frailty can be used to identify elderly patients needing further optimization before major surgery.
Copyright © 2012 Elsevier Inc. All rights reserved.
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