Related Experiment Videos
A Reliable Grading System for Prediction of Chronic Subdural Hematoma Recurrence Requiring Reoperation After Initial
Milo Stanišic1, Are Hugo Pripp2
1Department of Neurosurgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Insights
A new grading system predicts recurrence requiring reoperation (RrR) in chronic subdural hematoma (CSDH) patients. This tool stratifies risk based on lesion characteristics and CSDH cavity volume, aiding clinical decision-making.
Area of Science:
- Neurosurgery
- Radiology
- Clinical Prediction Modeling
Background:
- No standardized grading system exists for predicting recurrence requiring reoperation (RrR) in chronic subdural hematoma (CSDH).
- Accurate prediction of CSDH recurrence is crucial for surgical planning and patient management.
Purpose of the Study:
- To develop and validate a novel grading system for predicting RrR in surgically treated CSDH patients.
- To identify objective predictors of CSDH recurrence at initial presentation and surgery.
Main Methods:
- Prospective data from 107 CSDH surgical patients were analyzed.
- Logistic and lasso regression identified predictors of RrR.
- A prognostic CSDH grading system was developed and internally validated.
Main Results:
- Strongest predictors of RrR: isodense/hyperdense lesions, laminar/separated lesions, postoperative CSDH volume >200 mL.
- Moderate predictors: postoperative CSDH volume 80-200 mL, preoperative CSDH volume >130 mL.
- RrR rates increased with grading score: 0% (score 0), 6% (score 1-2), 30% (score 3-4), 63% (score 5).
Conclusions:
- The developed prognostic CSDH grading system effectively stratifies RrR risk.
- This tool offers objective assessment for clinical decision-making in CSDH management.
Background:
There is no widely adopted grading system for the prediction of postoperative recurrence requiring reoperation (RrR) in patients with chronic subdural hematoma (CSDH).
Objective:
We developed a CSDH grading system to predict RrR based on predictive characteristics that can be objectively assessed at the time of first presentation and initial surgery.
Methods:
Prospectively collected data from 107 consecutive surgical patients with CSDH were reviewed. Predictors of RrR were identified via logistic and lasso regression analyses. A prognostic CSDH grading system was proposed, with the weighing of predictors based on strength of association. The scoring system was then applied to the same set of patients in our database for internal validation.
Results:
The strongest predictors of RrR were an isodense or hyperdense lesions and laminar or separated lesions, and a postoperative CSDH cavity volume greater than 200 mL. The moderate predictors of RrR were a postoperative CSDH cavity volume of 80 to 200 mL and a preoperative CSDH volume greater than 130 mL. According to the prognostic CSDH grading system, no patients with a score of 0 points had RrR. RrR was observed in 6% of patients with a score of 1 to 2 points, 30% of patients with a score of 3 to 4 points, and 63% of patients with a score of 5 points (ie, the maximum score). The rate of RrR increased steadily with increases in the prognostic CSDH grading score (P < .001).
Conclusion:
The prognostic CSDH grading system is an applicable tool for RrR risk stratification in patients with CSDH.