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Original Article

An analysis of early oncologic head and neck free flap reoperations from the 2005–2012 ACS-NSQIP dataset

, , , , , & show all
Pages 85-92 | Received 20 Jan 2015, Accepted 03 Sep 2015, Published online: 16 Nov 2015
 

Abstract

Background: There are limited population-based studies that examine perioperative factors that influence postoperative surgical take-backs to the OR following free flap (FF) reconstruction for head/neck cancer extirpation. The purpose of this study was to critically analyse head/neck free flaps (HNFF) captured in the ACS-NSQIP dataset with a specific focus on postoperative complications and the incidence of factors associated with re-operation.

Methods: The 2005–2012 ACS-NSQIP datasets were accessed to identify patients undergoing FF reconstruction after a diagnosis of head/neck cancer. Patient demographics, comorbidities, and perioperative risk factors were examined as covariates, and the primary outcome was return to OR within 30 days of surgery. A multivariate regression was performed to determine independent preoperative factors associated with this complication.

Results: In total, 855 patients underwent FF for head/neck reconstruction most commonly for the Tongue (24.7%) and Mouth/Floor/cavity (25.0%). Of these, 153 patients (17.9%) returned to the OR within 30 days of surgery. Patients in this cohort had higher rates of wound infections and dehiscence (p < 0.01). Medical complications were significantly higher and included pneumonia (12.4% vs 5.0%, p < 0.01), prolonged ventilation (16.3% vs 4.8%, p < 0.01), myocardial infarction (2.6% vs 0.6%, p = 0.017), and sepsis (7.2% vs 3.4%, p = 0.033). Regression analysis demonstrated that visceral flaps (OR = 9.7, p = 0.012) and hypoalbuminemia (OR = 2.4, p = 0.009) were significant predictors of a return to the OR.

Conclusion: Based on data from the nationwide NSQIP dataset, up to 17% of HNFF return to the OR within 30 days. Although this data-set has some significant limitations, these results can cautiously help to improve preoperative patient optimisation and surgical decision-making.

Acknowledgements

De-identified patient information is freely available to all institutional members who comply with the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) Data Use Agreement. The Data Use Agreement implements the protections afforded by the Health Insurance Portability and Accountability Act of 1996. The ACS-NSQIP and the hospitals participating in the ACS-NSQIP are the source of the data used herein; they have not verified and are not responsible for the statistical validity of the data analysis or the conclusions derived by the authors of this study. This study received IRB exemption from our institution.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

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