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Record W4405047419 · doi:10.1182/blood-2024-204138

Thrombosis Risk Assessment in Polycythemia Vera (TRAP): A 4,636-Patient-Year Analysis of Arterial and Venous Thrombosis in Low-Risk Patients

2024· article· en· W4405047419 on OpenAlexaff
Naseema Gangat, Giuseppe Gaetano Loscocco, Patricia Carey, Priyansh Faldu, Moazah Iftikhar, Masooma Rana, Yamna Jadoon, Animesh Pardanani, Natasha Szuber, Alessandra Carobbio, Tiziano Barbui, Alessandro M. Vannucchi, Ayalew Tefferi, Paola Guglielmelli

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolycythemia veraThrombosisMedicineVenous thrombosisInternal medicineCardiology

Abstract

fetched live from OpenAlex

Background Conventional thrombosis risk stratification in polycythemia vera (PV) considers age > 60 years and thrombosis history for assignment to low (no risk factor) or high (at least 1 risk factor) risk category (J Clin Oncol.2011;29(6):761-70). The current study exclusively focused on low-risk PV with the following objectives: i) estimate the incidence of arterial and venous thrombosis; ii) examine the prognostic relevance of clinical and genetic risk factors for thrombosis; and iii) assess the impact of treatment on thrombosis risk. Methods Patients were retrospectively recruited from the Mayo Clinic, USA, and University of Florence, Italy, PV databases. Diagnosis was according to the International Consensus Classification criteria (Blood 2022;140:1200). Only first major arterial (AT) and unprovoked venous thrombosis (VT) were considered. Conventional statistical methods were applied (JMP Pro 17.0.0, SAS Institute, Cary, NC, USA). Results Mayo Clinic cohort A total of 346 patients with low-risk PV were considered: median age 49 years; males 54%; median hemoglobin 17.7 g/dl; median leukocyte count 10.9 x 109/L; leukocyte count >11 x 109/L 49%; median platelet count 471 x 109/L; cardiovascular (CV) risk factors 47%; hypertension 29%; hyperlipidemia 20%; smoking history 12%; diabetes mellitus 5%. Most frequent mutations, other than JAK2, were ASXL1 (13%) and TET2 (13%). Median follow-up was 13.4 years (1-52) (4,636 patient-years) during which 25 (7%) AT and 20 (6%) VT were documented. The corresponding incidence rates were 5.4 and 4.3 per 1,000 patient-years. In multivariable logistic regression analysis, baseline hemoglobin >17.5 g/dl in women or >20 g/dl in men (15% vs 4%; OR 5.1; p<0.01) and absence of leukocytosis >11 x 109/L (10% vs 4%; OR 2.9; p=0.02) were associated with increased risk of AT; in addition, diabetes mellitus (19% vs 7%; OR 3.9; p=0.06), showed borderline significance; overall incidence of AT was 20% in the presence of ≥2 risk factors (n=61), 7% in the presence of one risk factor (n=177), and 1% in the absence of all three risk factors (n=108; p<0.01). Multivariable analysis for arterial thrombosis-free survival (TFS) confirmed the predictive performance of these risk factors: hemoglobin thresholds (HR 4.4; p<0.01); absence of leukocytosis >11 x 109/L (HR 2.7; p=0.03); and diabetes (HR 2.8; p=0.09); 20-year cumulative incidence of AT was 32% in the presence of ≥2 risk factors and 7% otherwise (p<0.01). In multivariable analysis, smoking history was found to be surprisingly protective against VT (0% vs. 7%; p=0.02) while female gender was associated with a borderline higher risk (8% vs 4%; OR 2.2; p=0.09); VT incidence rates were 9% in the presence of both risk factors (n=144), 4% with one risk factor (n=172), and 0% in the absence of both risk factors (n=40; p=0.02); 20-year cumulative incidence of VT was 10% in the presence of both risk factors and 3% otherwise (p=0.03). ASXL1 and TET2 mutations did not appear to modify the risk of either VT (p=0.59) or AT (p=0.66). Treatment at diagnosis included aspirin and cytoreductive therapy in 63% and 24% of patients, respectively. Aspirin but not cytoreductive therapy was associated with a lower incidence of AT (5% vs 11%; 2.3 vs 3.0 per 1,000 patient-years; p=0.04) and VT (4% vs 10%; 1.9 vs 2.8 per 1,000 patient-years; p=0.03). Thrombosis-free survival was not influenced by documented treatment at diagnosis or at the time of event (p>0.1). University of Florence cohort A total of 284 low-risk PV patients were followed for a median of 9.1 years (1-38) with 19 (7%) AT and 24 (8%) VT events recorded; the corresponding incidence rates were 7.4 and 9.3 per 1,000 patient-years. In this Florence cohort, risk factors for AT were diabetes mellitus (HR 3.9), hyperlipidemia (HR 3.8) and advanced age, with only age remaining significant during multivariable analysis (p=0.03). Predictors of VT included hyperlipidemia (HR 4.2) and hypertension (HR 2.1). Treatment with aspirin or cytoreductive therapy did not impact thrombosis-free survival (p>0.1). Conclusion The current study confirms the infrequent occurrence of AT and VT in low-risk PV but also exposes the challenges in identifying risk factors that are reproducible in different but otherwise well-characterized patient cohorts. Discrepancies were also apparent in retrospective comparison of treatment effects on thrombosis, which reinforces the need for prospective studies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.009
GPT teacher head0.273
Teacher spread0.265 · 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".

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Citations1
Published2024
Admission routes1
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