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Record W2588302747 · doi:10.1182/blood.v128.22.707.707

Hemophagocytic Lymphohistiocytosis (HLH) in Langerhans Cell Histiocytosis (LCH): A Multicenter Retrospective Descriptional Study

2016· article· en· W2588302747 on OpenAlexaff
Deepak Chellapandian, Rui Zhang, Michael Jeng, Cor van den Bos, Vicente Santa‐María López, Kai Lehmberg, Elena Sieni, Yini Wang, Taizo A. Nakano, James A. Williams, Nicholas J. Fustino, Itziar Astigarraga, Ira J. Dunkel, Qi An, Cheng Cheng, Sheila Weitzman, Lillian Sung, Kim E. Nichols

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsHemophagocytic lymphohistiocytosisLangerhans cell histiocytosisHistiocyteHistiocytosisHemophagocytosisMedicineRetrospective cohort studyIncidence (geometry)PediatricsDiseaseImmunologyPathologyPancytopeniaBone marrow

Abstract

fetched live from OpenAlex

Abstract Introduction: Langerhans cell histiocytosis (LCH) is an inflammatory myeloid neoplasia characterized by the accumulation of CD1a+ CD207+ histiocytes. Hemophagocytic lymphohistiocytosis (HLH), a non-malignant histiocytic disorder, is typified by the accumulation and activation of CD8+ T cells and macrophages, which secrete high levels of pro-inflammatory cytokines. The co-existence of LCH and HLH has been reported, albeit rarely, and is believed to be associated with a poorer outcome. To better understand the relationship between these two conditions, in this study we sought to describe the incidence, risk factors for development, and outcome of HLH when it develops in children and young adults with multisystem-LCH (MS-LCH). Methods: We conducted a retrospective study involving 14 centers and collected data on 384 MS-LCH patients aged less than 30 years and who were diagnosed between year 2000 and 2015. Data collected on the eligible patients included clinical information at the time of LCH diagnosis, clinical and laboratory parameters at HLH diagnosis (for those who developed HLH), treatment and disease outcome. Patients who developed HLH were classified as having "true-HLH", which was defined as disease fulfilling 5 of 8 HLH-2004 diagnostic criteria or as "HLH-like" disorder, which was defined as fulfilling <5 of 8 HLH diagnostic criteria but whose disease status was suggestive of HLH and treated with HLH- and/or LCH-directed therapy. Results: Of 384 MS-LCH patients, 44 (11%) were identified with HLH (29 with true HLH and 15 with an HLH-like disorder), ranging in age from 15 days to 20.6 years (median, 1.12 years). The majority of MS-LCH patients who also had HLH were females (n=27) and had accompanying risk organ (liver, spleen and/or hematopoietic system) involvement (RO+) (n=40), as opposed to non-HLH MS-LCH patients. Among nine HLH patients tested for BRAF V600E mutation status, eight were found to be positive. Twenty (45%) patients developed HLH (true or HLH-like) concurrent (±7 days) with LCH diagnosis, while 24 (55%) developed HLH >7 days before or after LCH diagnosis. The 3-year cumulative incidence of HLH (true or HLH-like) in MS-LCH was 16.8%. The 5-year overall survival of LCH patients without HLH was 98 ± 9%, while survival for those with an HLH-like disorder or true-HLH was 75 ± 12% and 70 ± 14%, respectively (P<0.0001). Age <2 years, female gender, RO+ and lack of bone involvement at LCH diagnosis were each independently associated with increased risk for HLH. Among 20 HLH patients with available data, the median soluble interleukin-2 receptor level (sIL-2R) was 16,220 U/mL (range, 1,149 to 60,420 U/mL) (normal reference <2,400 U/mL), ferritin was 505 ng/mL (range, 28 to 26,660 ng/mL) (normal reference <500 ng/mL), and sIL-2R/ferritin ratio was 42. Conclusion: The development of HLH in patients with MS-LCH was not uncommon and associated with a poorer prognosis. Young females with RO+ MS-LCH who lack bone lesions at LCH diagnosis were at increased risk of developing HLH. Ferritin levels appear to be lower in comparison to patients who develop HLH in other contexts. There are overlapping features between MS-LCH and HLH that make the clinical distinction between these disorders difficult. Accordingly, improved biomarkers are needed to facilitate the identification of HLH in patients with MS-LCH. It is anticipated that early identification of HLH and prompt intervention may improve the outcome for affected individuals. Future prospective studies are needed to better understand the underlying mechanisms and identify more effective therapies. Disclosures No relevant conflicts of interest to declare.

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)0.000
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 score0.067
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.237
Teacher spread0.226 · 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".

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Citations3
Published2016
Admission routes1
Has abstractyes

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