Recombinant Tissue Plasminogen Activator in the Treatment of Intraventricular Hemorrhage Secondary to Periventricular Arteriovenous Malformation before Surgery: Case Report
Bibliographic record
Abstract
OBJECTIVE AND IMPORTANCE: Intraventricular hemorrhage (IVH) is known to cause acute obstructive hydrocephalus, refractory elevated intracranial pressures (ICPs), and lowered cerebral perfusion pressures, leading to cortical ischemia. Frequent obstruction of external ventricular drains as a result of thrombus is a recurring theme. We present a case of IVH secondary to periventricular arteriovenous malformation (AVM) that was not visible at admission angiography and was treated by intraventricular infusion of recombinant tissue plasminogen activator before surgical intervention. CLINICAL PRESENTATION: An 11-year-old boy presented with acute onset of headache followed by two seizures, loss of consciousness, decerebration, right temporal hematoma, IVH, and acute obstructive hydrocephalus. INTERVENTION: A right external ventricular drain was placed but functioned poorly. ICP could not be controlled by conventional methods. Five milligrams of recombinant tissue plasminogen activator was injected into the ventricular system via the external ventricular drain. This was repeated daily for 4 days. This treatment resulted in progressive improvement in ICP and clinical status. Once the clot partially cleared, magnetic resonance imaging and magnetic resonance angiography suggested the presence of a right periventricular arteriovenous malformation, which was confirmed by angiography and subsequently resected. CONCLUSION: Recombinant tissue plasminogen activator is effective in resolving IVH causing obstructive hydrocephalus and uncontrollable ICP posing a life-threatening situation, secondary to ruptured arteriovenous malformation, before surgical intervention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".