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PB2045: USE OF ANAKINRA IN THE TREATMENT OF ADULT HEMOPHAGOCYTIC LYMPHOHISTIOCYTOSIS: A SYSTEMATIC REVIEW

2023· review· en· W4385697985 on OpenAlexaff
Ali Eshaghpour, Rachel Foote, Rachael Principato, Mark Crowther

Bibliographic record

VenueHemaSphere · 2023
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsUniversity of GuelphMcMaster University
Fundersnot available
KeywordsAnakinraHemophagocytic lymphohistiocytosisMedicineMacrophage activation syndromePediatricsRetrospective cohort studyInternal medicineCytokine stormPrimary immunodeficiencyImmunologyImmune system

Abstract

fetched live from OpenAlex

Topic: 12. Bone marrow failure syndromes incl. PNH - Clinical Background: Hemophagocytic lymphohistiocytosis (HLH) is a rare syndrome characterized by extreme inflammation and tissue destruction through immune activation of T cells, NK cells, and macrophages leading to a cytokine storm. HLH is traditionally classified as primary and secondary. While primary HLH is typically familial and seen in pediatric populations, secondary HLH is often caused by autoimmune diseases, infectious diseases, and malignancies. While underlying incidence is very low, HLH is associated with significant mortality reaching near 100% when untreated, and 50-75% with traditional chemotherapy-based treatment regimens. Recently, treatment regimens have increasingly included Anakinra, an IL-1 Receptor antagonist. The evidence for the use of Anakinra is primarily founded upon pediatric literature, while there is very limited evidence for its use in adult patients. Aims: To synthesize the existing primary evidence for Anakinra use in adult patients with HLH. Methods: A comprehensive search of MEDLINE, Embase, and the grey literature was done from inception to December 2022. Studies were screened at abstract and full-text level independently and in duplicate. All English language retrospective cohort, prospective cohort, and randomized controlled studies investigating the use of Anakinra in adult patients with HLH and related hemophagocytic disorders (I.e., macrophage activation syndrome) were included. Baseline characteristics, underlying diagnoses, HLH lab parameters, details of Anakinra regimen, concurrent therapy, and comparator group therapy were recorded. The primary outcome measure was mortality as defined by the primary study. Secondary outcomes include length of hospitalization, length of ICU stay, clinical remission, relapse rate, and resolution of inflammatory markers. Results: Of the 1591 studies screened, eight studies with a total of 81 unique patients were included in the analysis. Studies included patients with various etiologies of HLH, most commonly autoimmune, malignant, and infectious. The median Anakinra dosage was 530 mg total per day (range: 100mg, 2400 mg) given either subcutaneously, intravenously, or via intravenous infusion. Steroids were included as concurrent therapy in all studies, with some studies including other immunosuppressive therapy including IVIG, cyclosporine, cyclophosphamide, tocilizumab, etoposide, and ruxolitinib. Median mortality rate was 45% (Range: 12.5%, 69%). Total mortality rate of all included patients was 42% (34/81). Summary/Conclusion: Regardless of available treatment HLH is associated with very high mortality. Given the low incidence of HLH and importance of individual patient factors, treatment regimens need to be personalized. Anakinra may have benefit in conjunction with conventional therapy in certain cases. Given its relative ease of administration and low toxicity as compared to chemotherapy-based regimens, use of Anakinra may be preferred. Evidence regarding potential benefit and dosing regimens is extremely limited. Further observational studies are required to reliably demonstrate the efficacy of Anakinra in HLH.Keywords: Immunosuppressive therapy, Hemophagocytic Lymphohistiocytosis (HLH)

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.001
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 head0.123
GPT teacher head0.387
Teacher spread0.264 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2023
Admission routes1
Has abstractyes

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