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Frailty Index Scores are Stronger Predictors of Complications in Free Flap Breast Reconstruction than BMI, Age, and ASA Class: A Retrospective Analysis on the ACS National Surgical Quality Improvement Program from 2010 - 2018

Joo, Alex
Giatsidis, Giorgio
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Abstract

Background: Free flap autologous breast reconstruction (f-ABR) improves quality of life in cancer survivors but has a 5-47% higher postoperative complication (PCs) rate in vulnerable patients, such as those with obesity or the elderly. Given the high (respectively: 43% and 16%) and rising prevalence of these conditions, operative risk prediction is critical to guide targeted care. Age, BMI, and ASA class have shown inaccuracies as predictive factors of PCs in f-ABR. Since frailty, a measure of vulnerability, was reported to be a reliable predictor of PCs in multiple other surgical fields, we hypothesized that it would be an accurate predictor of PCs also in f-ABR. Methods: Patients undergoing f-ABR (CPT: 19364) were identified using the ACS-NSQIP (American College of Surgeons-National Surgical Quality Improvement Program) database (01/2010-12/2018). Frailty was calculated using the validated modified Frailty Index (mFI). Rates of wound complications, bleeding episodes, readmissions, returns to operating room (ROR), and DVTs were compared across mFI score, BMI, age, and ASA class. Results: mFI ≥ 2 was associated with 22.22% (p <0.001) wound complications; 15.79% (p <0.001) bleeding episodes; 8.20% (p <0.001) readmissions; 17.19% (p <0.001) ROR; and 1.81% (p <0.05) DVTs. Higher BMI, age, and ASA class did not significantly correlate with increased rates in one or more PCs. Only a high mFI was consistently associated with significantly higher odds of complications in all complication types. Conclusions: As a reliable and accurate predictor of PCs in f-ABR, frailty could be used preoperatively to counsel patients and guide surgical care.

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10.13028/xkrt-0y28
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Poster presented virtually at the 25th Annual University of Massachusetts Medical School Research Retreat 2020 on October 26, 2020.

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Copyright © 2020 The Author(s). This is an open access document distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.