Hemophagocytic Lymphohistiocytosis in a Patient With Acute Respiratory Distress Syndrome Secondary to SARS-CoV-2 Infection
Bibliographic record
Abstract
Hemophagocytic lymphohistiocytosis (HLH) is a potentially life-threatening entity resulting from the dysregulated activation of T-lymphocytes. Secondary HLH (sHLH) complicates various medical conditions. Similar to 2009 H1N1 influenza, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection appears to trigger a cytokine storm in a subset of individuals. The patient of 64 years old presented himself in the emergency department with cough and fever, and was subjected to the nasopharyngeal swab and tested positive for SARS-CoV-2, as expected from epidemiological data. Hospitalized in cohort isolation, he initially presented a multi-organ impairment and specifically a worsening of his renal function, initial coagulopathy, lymphopenia modest thrombocytopenia and systemic inflammatory commitment. During the course of the 6th day, a picture of a probable cytokine storm and clear multiple organ failure (MOF) was evident. Therefore a clinical diagnosis was made according to HScore criteria of secondary hemophagocytic lymphohistiocytosis. We started high-dose steroid therapy (dexamethasone 8 mg bid). And after 36 h, the patient was significantly improved: alert, oriented, weaned from non-invasive ventilation (NIV) and stable blood chemistry. In conclusion, in coronavirus disease 2019 (COVID-19) positive patients with evidence of cytokine storm and acute respiratory distress syndrome (ARDS), the levels of blood triglycerides and ferritin are useful and often decisive to comfort the diagnosis of sHLH if cytopenia of one or more lines is revealed.
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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 | 0.001 |
| 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 | 0.001 |
| 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".