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Updated: Jan 29, 2026

Microvascular Decompression: Salient Surgical Principles and Technical Nuances
Published on: July 5, 2011
Predictors of Postoperative Complications After Microvascular Decompression for Trigeminal Neuralgia and Hemifacial
Mindong Zhou1, Peng Gao, Lv Zhou
1Department of Neurosurgery, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background:
Microvascular decompression (MVD) is a definitive treatment for trigeminal neuralgia and hemifacial spasm, but a subset of patients experiences postoperative complications. Identifying risk factors for these complications could improve perioperative management and patient counseling.
Methods:
We retrospectively analyzed 453 patients who underwent MVD for classic trigeminal neuralgia or hemifacial spasm from January 2020 to March 2024 at the First Affiliated Hospital of Anhui Medical University. Univariate analyses compared patients with versus without complications. Multivariate logistic regression was performed to identify independent predictors. Model performance was assessed with bootstrapped internal validation (1000 resamples), concordance index (C-index/area under ROC curve), and calibration analysis. A nomogram was constructed based on the final model.
Results:
In multivariate logistic analysis, elevated preoperative glucose (adjusted OR = 2.63 per 1 mmol/L increase, 95% CI: 1.96-3.66, P<0.001) and lower albumin (OR = 0.61 per 1 g/L, 95% CI: 0.51-0.71, P<0.001) emerged as strong independent predictors of complications. Incision type was not significant after adjustment (OR = 1.12, P=0.913), suggesting its crude effect was confounded by glucose and albumin. The final model showed excellent discrimination (bootstrap-corrected C-index = 0.904) and good calibration (calibration slope ≈ 0.97, intercept -0.05).
Conclusions:
In patients undergoing MVD for trigeminal neuralgia or hemifacial spasm, elevated preoperative blood glucose and low serum albumin are significant predictors of postoperative complications. Future studies should validate this model externally and explore interventions (strict glucose management and nutritional support) to reduce complications in this patient population.
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