[Factors Contributing to Surgical Intervention for Subacute Subdural Hematoma Enlargement in Patients with Mild Head Injuries].
Bibliographic record
Abstract
Delayed neurological deterioration following mild head injury(MHI)usually occurs within 24 hours. However, some cases require delayed surgical evacuation of an acute subdural hematoma(ASDH), owing to subacute progressive hematoma enlargement. This study aimed to determine radiological or clinical parameters associated with surgical intervention in ASDH cases in which surgery was not initially considered necessary. From 2010 to 2015, 64 patients were non-surgically treated for ASDH following MHI. We evaluated the various outcomes of eventual surgical ASDH evacuation after the first 48 hours following injury, due to hematoma enlargement and clinical deterioration. Univariate and multivariate analyses were applied to both the demographic and initial radiographic features to identify risk factors for ASDH progression and surgery. Overall, at the time of their last follow-up computed tomography, 57 patients(89%)demonstrated minimal ASDH or spontaneous hematoma resolution with conservative non-surgical management. The remaining 7 patients(11%)received delayed surgical ASDH evacuation a median of 5.1 days after the head trauma. There were no significant differences between the two groups for baseline characteristics, including age, prior history of anticoagulants, the presence of cerebral contusions, or subarachnoid hemorrhages. On multivariate analysis, use of antiplatelet drugs(p=0.013, OR=28, 95%CI=1.82-24)was independently associated with delayed hematoma evacuation. These data indicate that as much as 11% of patients with minimal ASDHs after MHI can deteriorate over the course of a week and then require surgical intervention, and that patients on concurrent antiplatelet medication require especially careful monitoring of hematoma progression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".