The Use of Machine Learning for Predicting Complications of Free-Flap Head and Neck Reconstruction.

BACKGROUND: Machine learning has been increasingly used for surgical outcome prediction, yet applications in head and neck reconstruction are not well-described. In this study, we developed and evaluated the performance of ML algorithms in predicting postoperative complications in head and neck free-flap reconstruction. METHODS: We conducted a comprehensive review of patients who underwent microvascular head and neck reconstruction between January 2005 and December 2018. Data were used to develop and evaluate nine supervised ML algorithms in predicting overall complications, major recipient-site complication, and total flap loss. RESULTS: We identified 4000 patients who met inclusion criteria. Overall, 33.7% of patients experienced a complication, 26.5% experienced a major recipient-site complication, and 1.7% suffered total flap loss. The k-nearest neighbors algorithm demonstrated the best overall performance for predicting any complication (AUROC = 0.61, sensitivity = 0.60). Regularized regression had the best performance for predicting major recipient-site complications (AUROC = 0.68, sensitivity = 0.66), and decision trees were the best predictors of total flap loss (AUROC = 0.66, sensitivity = 0.50). CONCLUSIONS: ML accurately identified patients at risk of experiencing postsurgical complications, including total flap loss. Predictions from ML models may provide insight in the perioperative setting and facilitate shared decision making.

Impact of Body Mass Index on Surgical Outcomes in Oncologic Microvascular Head and Neck Reconstruction.

BACKGROUND: Despite increasing recognition, obesity continues to represent a major health issue for millions of people in the USA and worldwide. There is a paucity in the literature regarding the effect of body mass index (BMI) on microsurgical head and neck reconstruction. The present study hypothesized that high BMI is predictive of postoperative recipient- and donor-site complications with longer operative times. PATIENTS AND METHODS: Retrospective review of patients who underwent free flap surgery for head and neck reconstruction was performed between January 2005 and December 2018. Patients were categorized into four groups based on BMI: < 20 kg/m2, 20-30 kg/m2, 30-40 kg/m2, and ≥ 40 kg/m2. Patient characteristics and surgical outcomes were compared between the four groups. RESULTS: Overall, 4000 free flap surgeries were included in the present study, performed on 3753 patients, of whom 9.9% had a BMI < 20 kg/m2, 64.9% had a BMI between 20 and 30 kg/m2, 21.6% had a BMI between 30 and 40 kg/m2, and 3.6% had a BMI ≥ 40 kg/m2. After adjusting for potential confounders, multivariate analysis showed no association between BMI and any complication, major recipient complications, or total flap loss. However, multivariate linear regression model showed BMI 30-40 kg/m2 and BMI ≥ 40 kg/m2 to be independently associated with longer operative times compared with BMI < 20 kg/m2. CONCLUSION: Obesity and high BMI increase operative times; however, with meticulous surgical technique and diligent postoperative care, microvascular head and neck reconstructions can be performed safely and reliably in the majority of patients regardless of BMI with similar overall, recipient-site, and donor-site complications.

Addressing Surgical Care Disparities: Residents' Involvement in Global Mission Trips.

ABSTRACT: Humanitarian mission trips have been organized by several residency programs and organizations to cater to surgical care in underdeveloped countries. While there is cross-talk on the existence of such opportunities, there is a paucity of guidance to residents on participation in such trips, their benefits, and the myriad of intangibles to consider while planning to pursue such opportunities. Through this article, the authors highlight the background and utility of humanitarian surgical missions and summarize the clinical and surgical experiences that these trips offer for residents choosing to embark on these altruistic journeys.