Surgical Complexity and Complications: The Need for a Common Language

Area of Science:

• Neurosurgery
• Oncology
• Medical Quality Improvement

Background:

• Standardized definitions and methodologies for quality measurement and outcome assessment in neurosurgery are lacking.
• This gap complicates the evaluation of neurosurgical procedures and patient outcomes.

Purpose of the Study:

• To establish a uniform definition of neurosurgical complications.
• To classify complications by etiology and evaluate them in intracranial tumor removal.
• To develop a practical grading system (Milan Complexity Scale - MCS) to predict postoperative clinical worsening.

Main Methods:

• Retrospective analysis of 746 elective intracranial tumor removal surgeries.
• Data collected from a prospectively maintained patient registry, including sociodemographic, clinical, and surgical factors.
• Logistic regression identified independent predictors of Karnofsky Performance Scale (KPS) worsening, forming the basis of the MCS.

Main Results:

• 41.7% of patients experienced postoperative complications; 29.9% showed KPS worsening.
• Five factors independently predicted KPS worsening: major brain vessel manipulation, posterior fossa surgery, cranial nerve manipulation, eloquent area surgery, and tumor size >4 cm.
• The MCS, ranging from 0 to 8, showed significantly higher scores in patients with KPS worsening (3.24 ± 1.55) compared to those with improved or unchanged status (1.47 ± 1.55).

Conclusions:

• Neurosurgical complications can be defined as any deviation from the ideal postoperative course within 30 days.
• The MCS provides a standardized method for assessing surgical complexity and predicting clinical worsening risk after intracranial tumor removal.
• Standardized, prospectively maintained patient registries are crucial for quality measurement in neurosurgery.