Acute Dengue Fever with Computed Tomography (CT) Correlation
Bibliographic record
Abstract
A 23-year-old female presented to the emergency department with vomiting and abdominal pain. She had traveled home to Canada the previous day from Indonesia and Thailand. Her symptoms had started 5 days previously in Bangkok with malaise and fever. On clinical examination she looked ill with a low-grade fever of 37.3°C. Cardiovascular, respiratory, and neurological examinations were normal. On examination, her abdomen was extremely tender with guarding of the right upper quadrant. A diffuse purpuric erythematous rash was noted over her extremities and trunk (Figure 1). Figure 1. Purpuric rash on both legs. This figure appears in color at www.ajtmh.org. Laboratory tests revealed a low platelet level at 34 with raised liver transaminases: aspartate aminotransferase 244 and alanine aminotransferase 111. Malaria smear was negative. Chest radiograph at initial presentation was negative but within 24 hours after the highest fever at 39.4°C showed moderate bilateral pleural effusions (Figure 2). Figure 2. (A) Chest radiograph at initial presentation and (B) after 24 hours showing bilateral pleural effusions (white arrows). Computed tomography (CT) of the abdomen showed a moderate amount of low-attenuation free fluid in the abdomen and pelvis with periportal edema and pericholecystic fluid (Figure 3). Figure 3. Computed tomography (CT) of the abdomen including the lung bases (A) showed bilateral pleural effusions without evidence of pulmonary edema on lung windows (B). Moderate amount of free fluid seen in the upper abdomen (C, D) with periportal edema (white ... The combination of thrombocytopenia and imaging findings consistent with plasma leakage are suggestive of dengue hemorrhagic fever1; later confirmed on serology with both single IgG and IgM positive results. Imaging in assessment of fluid in multiple body compartments becomes detectable at the time of the immune response and typically at the time of disappearance of fever and is well demonstrated on both CT and ultrasound examinations.2
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".