Intraparenchymal Hemorrhage in a patient with Post-Traumatic Craniectomy and Severe Thrombocytopenia Due to Fatal Acute Dengue: A Case Report
Bibliographic record
Abstract
Intracranial complications in dengue fever are uncommon but have been increasingly reported in severe cases. Dengue fever is a mosquito-borne viral illness caused by the dengue virus, which usually presents mild symptoms such as fever, headache, and myalgia. In a minority of cases, the disease can progress to more severe forms characterized by plasma leakage, severe thrombocytopenia, and bleeding. Although neurological manifestations are not typical in dengue infections, factors such as severe thrombocytopenia and previous neurosurgical interventions may predispose patients to intracranial hemorrhagic events. This case report presents an 18-year-old female with a fatal intraparenchymal hemorrhage, occurring in the context of severe dengue and a history of prior post-traumatic craniectomy. This case illustrates how dengue-related thrombocytopenia and endothelial dysfunction can trigger catastrophic intracranial bleeding in areas of prior structural brain injury. Considering preexisting neurosurgical lesions as potential sites of secondary hemorrhage in dengue patients with severe thrombocytopenia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".