ArticleRisk management and healthcare policy2019
A Grading System For The Prediction Of Unilateral Chronic Subdural Hematoma Recurrence After Initial Single Burr Hole Evacuation.
Article in Risk management and healthcare policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Local anesthesia with sedation and general anesthesia for the treatment of chronic subdural hematoma: a systematic review and meta-analysis.Neurosurgical review · 2024Pooled it
- Recurrence prediction in chronic subdural hematomas: a risk stratification score based on 118 consecutive patients.Brain & spine · 2025Article
- Risk Factors of Chronic Subdural Hematoma Recurrence: A Systematic Review.Medical journal of the Islamic Republic of Iran · 2025Review
- Clinical Use of Hematoma Volume Based On Automated Segmentation of Chronic Subdural Hematoma Using 3D U-Net.Clinical neuroradiology · 2024Article
- A proposed stratification system to address the heterogeneity of Subdural Hematoma Outcome reporting in the literature.Neurosurgical review · 2024Article
- Modified Puerto Rico Recurrence Scale for chronic subdural hematomas: augmenting the grading scale with postoperative pneumocephalus volume.Acta neurochirurgica · 2023Article
- Correlation between Blood Type 0 and Risk of Chronic Subdural Hematoma Recurrence: A Single Center Retrospective Cohort Study.Brain sciences · 2023Article
- Puerto Rico Recurrence Scale: Predicting chronic subdural hematoma recurrence risk after initial surgical drainage.Surgical neurology international · 2022Article
- Brain re-expansion predict the recurrence of unilateral CSDH: A clinical grading system.Frontiers in neurology · 2022Article
- Article
- Risk Factors for Postoperative Rebleeding and Short-Term Prognosis of Spontaneous Cerebellar Hemorrhage.Risk management and healthcare policy · 2021Article
- Validation and Comparison of a Modified Elixhauser Index for Predicting In-Hospital Mortality in Italian Internal Medicine Wards.Risk management and healthcare policy · 2020Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposePrevious studies have identified many risk factors related to the recurrence of chronic subdural hematomas (CSDHs). Among these factors, there may be deviations in measuring the midline shift, preoperative hematoma volume (PreHV), postoperative hematoma residual volume, and postoperative pneumocephalus in bilateral CSDHs. The aims of this study were to eliminate the impact of complicated situations on parameter measurement and to identify actual predictors for CSDH recurrence, and finally, to develop a grading system to predict unilateral CSDH (uCSDH) recurrence. PATIENTS AND
methodsA total of 342 patients with uCSDH were identified. Predictors of uCSDH recurrence were obtained from univariable and multivariable logistic regression models. A prognostic grading system was developed based on the results of multivariable logistic regression and receiver operating characteristic (ROC) analyses. All patients were scored according to the grading system, and differences in the recurrence rate were reanalyzed according to the scores.
resultsAge, antiplatelet or anticoagulant use, midline shift, severe brain atrophy, drainage volume, and the ratio of the postoperative pneumocephalus volume (PostPV) to the postoperative hematoma cavity volume (PostHCV) were identified as independent risk factors for predicting the recurrence of uCSDH. The cut-off values of age, drainage volume, midline shift, and the ratio of the PostPV to the PostHCV were 67 years, 101 mL, 11.2 mm, and 31.61%, respectively. The recurrence rates were 1.7%, 12.4%, 19.4%, 53.3%, and 58.3% for scores of 0-1, 2, 3, 4, and 5-6, respectively, which significantly increased as the score increased (
conclusionThe prognostic grading system for uCSDH on the basis of multivariable logistic regression and ROC analyses is applicable and reliable.
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