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Record W2911384983 · doi:10.1186/s41927-019-0055-x

Severe skin disease in lupus associated with hemophagocytic lymphohistiocytosis: case reports and review of the literature

2019· article· en· W2911384983 on OpenAlexaff
Christina S. Thornton, Parham Minoo, Michelle Schneider, Aurore Fifi‐Mah

Bibliographic record

VenueBMC Rheumatology · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsSouth Health CampusCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsMedicineHemophagocytic lymphohistiocytosismyalgiaDermatologyContext (archaeology)DiseaseSystemic lupus erythematosusMalignancyPresentation (obstetrics)CyclophosphamidePopulationPediatricsImmunologyPathologySurgeryChemotherapy

Abstract

fetched live from OpenAlex

BACKGROUND: Hemophagocytic lymphohistiocytosis (HLH) is a severe clinical entity associated with high mortality in the adult population. HLH has been associated with infections, malignancy and autoimmune conditions such as Systemic Lupus Erythematosus (SLE), however this is often in the context of a disease flare. Currently, there are limited reports of inaugural SLE manifesting as HLH with a lack of consensus on treatment and management of these patients. CASE PRESENTATION: Here, we present two rare case reports of severe cutaneous manifestation of lupus associated with HLH. Both patients presented with sinister clinical courses with primarily rheumatologic complaints including malaise, arthralgia, and myalgia with biochemical abnormalities. Both patients were diagnosed with HLH as a result of first presentation from cutaneous lupus. A comprehensive literature review using the PubMed database with cases comprising keywords of HLH and SLE up to September 2017 was conducted, with an emphasis on inaugural cutaneous SLE cases. CONCLUSIONS: Ultimately, we highlight that a keen clinical acumen is required as misdiagnosis may lead to insufficient treatment with adverse clinical outcomes with the unique presentation of HLH from inaugural cases of SLE.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.355

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.253
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2019
Admission routes1
Has abstractyes

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