Systemic capillary leak syndrome presenting as recurrent shock
Bibliographic record
Abstract
OBJECTIVE: To report a case of systemic capillary leak syndrome (SCLS) in a child. DESIGN: Case report. SETTING: Pediatric intensive care unit. PATIENT: A 6-yr-old girl was admitted twice to the pediatric intensive care unit, at a 10-month interval, in severe shock with important edema. RESULTS: The patient presented with acute symptoms of abdominal pain, vomiting, and syncope in the hour preceding the shock. During both episodes necessary management included aggressive intravenous fluid rehydration, mechanical ventilation, and use of inotropes/vasopressors. Suspicion of a lower limb fasciitis necessitated surgical exploration, but pathology reports were negative on both occasions revealing only subcutaneous tissue edema. The patient recovered within 24 hrs on both episodes. Investigation ruled out cardiogenic shock and septic shock due to bacterial etiology. On the first episode, a nasopharyngeal aspirate was positive for influenza A (H3N2) by both viral immunofluorescence and culture. The presumed diagnosis was toxic shock syndrome associated with influenza virus. On the second episode, all bacterial and virology cultures remained negative. Hypovolemic shock was suspected, but there was no history of dehydration, bleeding, or gastrointestinal losses (persistent vomiting or diarrhea). Noninfectious causes of hypovolemic shock with edema were ruled out, leading us to believe that she suffered from SCLS. CONCLUSIONS: Although well described in the adult literature, there have been few reports of SCLS in pediatric patients. SCLS should be considered in the differential diagnosis of recurrent hypovolemic shock without identifiable cause. The only therapeutic intervention is to obtain vascular access when initial manifestations occur and give aggressive fluid reanimation.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".