Frailty as a Predictor of Postoperative Morbidity and Mortality Following Liver Resection

Author:

McKechnie Tyler1,Bao Tyler1,Fabbro Matthew2,Ruo Leyo1,Serrano Pablo E.1

Affiliation:

1. Division of General Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada

2. Trinity College Dublin, Dublin, Ireland

Abstract

Background Liver resection is commonly performed among patients at risk of being frail. Frailty can be used to assess perioperative risk. Thus, we evaluated frailty as a predictor of postoperative complications following liver resection using a validated modified frailty index (mFI). Methods A retrospective cohort of consecutive patients undergoing liver resection (2011-2018) were stratified according to the mFI and classified as the following: high (≥.27) and low mFI (<.27). The effect of mFI on postoperative complications (Clavien-Dindo) was evaluated using multiple logistic regression, expressed as odds ratios (OR) and 95% CI. Results Of 409 patients, 58 (14%) had high mFI. There were no differences in type of liver resection (laparoscopic: 57% vs 55%, P = .766), number of segments resected (3 vs 4, P = .417), or operative time (257 vs 293 minutes, P = .097) between the high and low mFI groups, respectively. High mFI patients had a longer median length of hospital stay (9.5 vs 5 days, P < .001) and higher proportion of postoperative complications (79% vs 46%, P < .001), including minor complications (69% vs 42%, P < .001), major complications (50% vs 13%, P < .001), and 90-day postoperative mortality (12% vs 3.4%, P = .04). On multivariable analysis, longer operating time (OR 1.15, 95% CI, 1.03 to 1.27), higher number of segments resected (OR 1.43, 95% CI, 1.12 to 1.82), and high mFI (OR 6.74, 95% CI, 2.76 to 16.51) were independent predictors of major postoperative complications. Discussion mFI predicts postoperative outcomes following liver resection and can be used as a risk stratification tool for patients being considered for surgery.

Publisher

SAGE Publications

Subject

General Medicine

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