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Record W4229336625 · doi:10.14740/jmc3903

A Case of Delayed COVID-19-Related Macrophage Activation Syndrome

2022· article· en· W4229336625 on OpenAlexvenueno aff
Abdelnassir Abdelgabar, Mohammed Elsayed

Bibliographic record

VenueJournal of Medical Cases · 2022
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineARDSMacrophage activation syndromeCytokine stormFulminantCoagulopathyPneumoniaIntensive care medicineIntensive care unitRespiratory distressDiseaseRespiratory failureCoronavirus disease 2019 (COVID-19)Presentation (obstetrics)PediatricsInternal medicineLungInfectious disease (medical specialty)Surgery

Abstract

fetched live from OpenAlex

Although coronavirus disease 2019 (COVID-19) is primarily a respiratory illness, clinical experiences have shown that almost no system is exempted. The severity of the disease can also range from mild presentation with complaints such as headache, aches and pains, taste and sense of smell disturbances to a more severe presentation with acute respiratory distress syndrome (ARDS) that necessitate admission to intensive care units. In such severe presentation, hypercytokinemia, typically found in cytokine storm syndrome (CSS), particularly macrophage activation syndrome (MAS) is often present. CSS can result from diverse, heterogeneous conditions of different clinical phenotypes, such as infections, hematological, rheumatological or iatrogenic conditions leading to systemic hyperinflammation. Some clinical and laboratory findings may give clues to such a highly lethal syndrome and allow early diagnosis and introduction of effective therapy. In this case we describe a COVID-19 pneumonia patient who was discharged home following improvement in his respiratory symptoms to present few days later with a fatal form of CSS, presenting with ARDS, fulminant hepatic failure and coagulopathy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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.

Opus teacher head0.040
GPT teacher head0.358
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2022
Admission routes1
Has abstractyes

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