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Role of the JAK2 V617F Mutation in Inflammatory Bowel Disease-associated Thromboembolism: Case Report and Review of the Literature

2017· article· en· W2913378115 on OpenAlexaff
Amir Rumman, Sarah Alghamdi

Bibliographic record

VenueThe American Journal of Gastroenterology · 2017
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyInflammatory bowel diseaseColonoscopyAbdominal painUlcerative colitisThrombosisDiseaseColorectal cancer

Abstract

fetched live from OpenAlex

Mutations in the Janus kinase-2 (JAK2) pathway are implicated in myeloproliferative neoplasia (MPN), as well as IBD. In patients without overt MPN, JAK2 mutation is implicated in intra-abdominal thrombosis. Despite this shared genetic predisposition, the role of JAK2 mutation in IBD-associated thromboembolism is not clear. We describe a case of catastrophic arterial thrombosis in an ulcerative colitis (UC) patient with JAK2 V617F mutation. A 62 year old woman presented with 3 months of bloody diarrhea and 15kg weight loss. Inflammatory markers were elevated but her hemogram was normal. Colonoscopy revealed pancolonic edema and erythema but no ulceration or spontaneous bleeding, consistent with moderate UC, Mayo score 2. The patient was started on prednisone and 5-ASA. Her symptoms improved and she was discharged home. She returned in 2 weeks with severe abdominal pain and shock. CT of the abdomen revealed splenic and renal infarcts and extensive thrombus in the common hepatic the superior mesenteric arteries. She underwent an emergent SMA embolectomy and extensive small bowel resection. A thrombophilia work-up revealed a positive JAK2 V617F mutation and warfarin was started. No evidence of MPN was found on bone marrow examination. A comprehensive search of Medline, PubMed, and EMBASE up to November 2016 was performed. We identified three articles related to JAK2 V617F mutations in IBD, comprising 171 patients. In the first study, no JAK2 V617F mutations were identified in 48 IBD with prior thrombotic events. In the second study, 100 IBD patients with no previous thrombotic event or MPN were tested, and no JAK2 V617F mutations were identified. The third study included 23 IBD patients with erythrocytosis or thrombocytosis but no previous thrombotic events. Three cases of JAK2 V617F mutations were identified, exceeding the expected thresholds for statistical significance. In summary, JAK2 V617F mutation is implicated in MPN but its role in IBD-related thrombosis remains unclear. Studies to date do not establish a pathophysiologic link between JAK2 mutations and IBD-related thrombosis. Given the known association between JAK2 V617F mutation and MPN, IBD patients presenting with erythrocytosis or thrombocytosis may benefit from JAK2 mutation testing. IBD patients with large intra-abdominal thrombosis may also benefit from testing for JAK2 mutations as this may alter the duration of anticoagulation treatment.Figure: Kaplan-Meier curves for time to first dose of anti-TNF therapy stratified type of insurance drug coverage. Publicly funded subjects (solid line) experienced longer times to first anti-TNF dose than privately funded subjects (dashed line).Figure: Rates of hospitalizations and emergency department visits stratified by public versus private drug insurance coverage. Additional sensitivity analyses are performed in which the following groups were excluded (excl): those who received first anti-TNF dose as inpatients (Inpt) or through a compassionate use program (Comp); those with private drug insurance coverage who received supplemental public funding (Copay). All rate differences between private and public drug coverage were statistically significant (* p<0.001).

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.269
Teacher spread0.262 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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