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Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
Published on: November 4, 2025
Multivariate analysis as an advantageous approach for prediction of the adverse outcome in head and neck
Pawel Golusinski1, Jakub Pazdrowski2, Mateusz Szewczyk2
1Department of Biology and Environmental Studies, Poznan University of Medical Sciences, Poznan, Poland; Department of Head and Neck Surgery, Greater Poland Cancer Centre, Poznan University of Medical Sciences, Poznan, Poland; University of Central Florida, Burnett School of Biomedical Sciences, College of Medicine Orlando, FL, USA.
Background:
The use of a free flap has become a mainstay of reconstruction following the ablative surgery in head and neck. The success rates are about 90%, however, several factors have been described to have an adverse effect on free flap survival.
Methods:
We have performed a retrospective analysis of the treatment outcome of 93 microvascular flaps and evaluated the factors influencing the risk of flap loss including patients' age, body mass index, smoking, general medical history and previous oncological treatment.
Results:
Out of 93 flaps the total necrosis have been observed in 15 flaps with gradual improvement in the consecutive years. In individual analysis the patients age, BMI, and comorbidities did not reveal any significant relation. The history of any previous oncological treatment represented a significant adverse factor of success rate (p=0.035), and was even more significant when patients experienced all treatment modalities prior to the reconstructive procedure (p=0.009). Multivariate logistic regression model indicated that only surgery (p=0.0008), chemotherapy (p=0.02), cardiovascular diseases (p=0.05) and patient's age (p=0.02) represented significant factors impairing the success rate.
Conclusion:
Incorporating multivariate analysis represents important statistical approach for better prediction of free flaps survival in head and neck reconstructive surgery. Incorporation of additional collective information could provide more precise approach in the risk of the flap loss assessment.
