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Record W4297826557 · doi:10.1007/s10875-022-01312-7

Disease Progression of WHIM Syndrome in an International Cohort of 66 Pediatric and Adult Patients

2022· article· en· W4297826557 on OpenAlexaff
Christoph B. Geier, Maryssa Ellison, Rachel Cruz, Sumit Pawar, Alexander Leiss-Piller, Katarina Zmajkovicova, Shannon McNulty, Melis Yilmaz, Martin Oman Evans, Sumai Gordon, Boglárka Ujházi, Ivana Wiest, Hassan Abolhassani, Asghar Aghamohammadi, Sara Barmettler, Saleh Bhar, Анастасія Бондаренко, Audrey Anna Bolyard, David Buchbinder, Michaela Cada, Mirta Cavieres, James A. Connelly, David C. Dale, Е. А. Деордиева, Morna J. Dorsey, Simon B. Drysdale, Stephan Ehl, Reem Elfeky, Francesca Fioredda, Frank Firkin, Elizabeth Förster-Waldl, Bob Geng, Vera Goda, Luis Ignacio González‐Granado, Eyal Grunebaum, Elżbieta Grześk, Sarah E. Henrickson, Anna Hilfanova, Mitsuteru Hiwatari, Chihaya Imai, Winnie Ip, Soma Jyonouchi, Hirokazu Kanegane, Yuta Kawahara, Amer Khojah, Vy Hong-Diep Kim, Marina Kojić, Sylwia Kołtan, Gergely Kriván, Daman Langguth, YL Lau, Daniel Leung, Maurizio Miano, Irina Mersyanova, Talal Mousallem, Mica Muskat, Flávio Augusto Naoum, Suzie A. Noronha, Monia Ouederni, Shuichi Ozono, G. Wendell Richmond, Inga Sakovich, Ulrich Salzer, Catharina Schuetz, Filiz O. Seeborg, Svetlana Sharapova, Katja Sockel, Алла Волоха, Malte von Bonin, Klaus Warnatz, Oliver Wegehaupt, Geoffrey A. Weinberg, Ke-Juin Wong, Austen Worth, Huang Yu, Yulia Zharankova, Xiaodong Zhao, Lisa Devlin, Adriana Badarau, Krisztián Csomós, Márton Keszei, João P. Pereira, Arthur G. Taveras, Sarah L. Beaussant-Cohen, Mei‐Sing Ong, Anna Shcherbina, Jolán E. Walter

Bibliographic record

VenueJournal of Clinical Immunology · 2022
Typearticle
Languageen
FieldMedicine
TopicChemokine receptors and signaling
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute of Allergy and Infectious Diseases
KeywordsCohortMedicineHypogammaglobulinemiaPediatricsDiseaseHematopoietic stem cell transplantationInternal medicineImmunology

Abstract

fetched live from OpenAlex

Warts, hypogammaglobulinemia, infections, and myelokathexis (WHIM) syndrome (WS) is a combined immunodeficiency caused by gain-of-function mutations in the C-X-C chemokine receptor type 4 (CXCR4) gene. We characterize a unique international cohort of 66 patients, including 57 (86%) cases previously unreported, with variable clinical phenotypes. Of 17 distinct CXCR4 genetic variants within our cohort, 11 were novel pathogenic variants affecting 15 individuals (23%). All variants affect the same CXCR4 region and impair CXCR4 internalization resulting in hyperactive signaling. The median age of diagnosis in our cohort (5.5 years) indicates WHIM syndrome can commonly present in childhood, although some patients are not diagnosed until adulthood. The prevalence and mean age of recognition and/or onset of clinical manifestations within our cohort were infections 88%/1.6 years, neutropenia 98%/3.8 years, lymphopenia 88%/5.0 years, and warts 40%/12.1 years. However, we report greater prevalence and variety of autoimmune complications of WHIM syndrome (21.2%) than reported previously. Patients with versus without family history of WHIM syndrome were diagnosed earlier (22%, average age 1.3 years versus 78%, average age 5 years, respectively). Patients with a family history of WHIM syndrome also received earlier treatment, experienced less hospitalization, and had less end-organ damage. This observation reinforces previous reports that early treatment for WHIM syndrome improves outcomes. Only one patient died; death was attributed to complications of hematopoietic stem cell transplantation. The variable expressivity of WHIM syndrome in pediatric patients delays their diagnosis and therapy. Early-onset bacterial infections with severe neutropenia and/or lymphopenia should prompt genetic testing for WHIM syndrome, even in the absence of warts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.023
GPT teacher head0.378
Teacher spread0.355 · 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 source (direct Gemma or distilled Codex), 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

Citations46
Published2022
Admission routes1
Has abstractyes

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