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DOI: 10.1055/a-2460-4706
Evaluation of Modified Frailty Index for Predicting Postoperative Outcomes after Upper Extremity Replantation and Revascularization Procedures
Funding None.

Abstract
Background Upper extremity (UE) replantation and revascularization are challenging surgical procedures, with survival rates being 50 to 90%. Preoperative risk stratification is challenging yet crucial as patients with comorbid conditions face increased complications. This study assesses the predictive value of the modified 5-item frailty index (5-mFI) for postoperative complications in these procedures.
Methods A retrospective study was done using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database (2011–2021) for UE replantation/revascularization. The 5-mFI score assigned points for comorbidities including pulmonary disease, heart failure, diabetes, hypertension, and functional status (0–5 scale; 1 point to each). 5-mFI scores stratified patients into <2 (low-risk) or ≥2 (high-risk) categories.
Results Of 2,305 patients, the mean age and body mass index (BMI) were 53.13 years and 28.53 kg/m2, respectively. The 5-mFI ≥2 cohort experienced higher rates of all-cause complications, systemic complications, unplanned readmissions, and return to the operating room on univariate analysis. There was no significant difference in wound complication rates. Multivariable logistic regression showed that a higher 5-mFI was significantly associated with increased risks of all-cause mild and severe systemic complications. Wound complications, length of stay over 30 days, unplanned readmission, and return to the operating room were higher in high-risk patients, however not statistically significant.
Conclusion 5-mFI is an effective tool for evaluating risk in UE replantation and revascularization, correlating high scores with significantly increased postoperative complications. High-risk patients with 5-mFI ≥2 also had more reoperations and readmissions. The use of 5-mFI in preoperative assessments can help personalize management, enhancing patient selection and care quality in these complex reconstructions.
Publication History
Received: 17 June 2024
Accepted: 17 October 2024
Accepted Manuscript online:
04 November 2024
Article published online:
27 November 2024
© 2024. Thieme. All rights reserved.
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