Anticoagulation Management of Splanchnic Vein Thrombosis in Myeloproliferative Neoplasms: A Global Abdominal/Splanchnic Thrombosis Retrospective Observational Study in 486 MPN Patients (GASTRO-MPN)
Bibliographic record
Abstract
Background: Myeloproliferative neoplasms (MPNs) are chronic leukemias with increased thrombotic risk. Venous thrombosis in MPN often occurs in atypical sites, such as splanchnic vein thrombosis (SVT), defined by thrombosis in the portal, hepatic, mesenteric, or splenic veins. Data to guide anticoagulation management of SVT in MPN patients is lacking. Objectives: The purpose of this study is to evaluate outcomes as well as the safety and efficacy of different anticoagulation strategies in MPN patients with SVT. Methods: A retrospective cohort study of MPN patients with SVT from 10 international centers was conducted. All centers performed systematic identification of adults with a World Health Organization 2016 diagnosis of an MPN (polycythemia vera [PV], essential thrombocythemia [ET], myelofibrosis [MF], prefibrotic MF, MPN-unclassifiable [MPN-U]) and confirmed SVT. Inclusion criteria were met if first SVT occurred after or within one year before MPN was diagnosed. The primary outcome was 1-year cumulative incidence of recurrent venous (VT) or arterial thrombosis (AT). Secondary outcomes included 1-year cumulative incidence of (1) major and clinically relevant non-major bleeding (CRNMB) by International Society on Thrombosis and Hemostasis criteria, (2) SVT recanalization; and (3) 1-year overall survival. Death as a competing risk was used for cumulative incidence analyses of recurrence and bleeding. Results: 486 MPN patients (median age at first SVT 51 years; 62.3% female) were identified. MPN diagnosis preceded SVT in 35.2% of patients (median time 4.8 years) and occurred simultaneously or within 1 year of first SVT in 64.8% of patients. 43.8% of patients had PV, 23.7% ET, 14.2% MF, 3.1% prefibrotic MF and 13.2% MPN-U. The most common driver mutation was in JAK2 (90.7%) followed by CALR (4.4%) and MPL (1.6%). SVT localization was isolated to portal (25.7%), hepatic (15.4%), mesenteric (1.9%), and splenic veins (4.3%), and in 51.2% of cases SVT occurred in multiple vessels. Prior VT or AT occurred in 8.8% and 4.1% of subjects, respectively. Cytoreduction (most commonly hydroxyurea [36.9%], interferon [9.6%] or JAK inhibitor [6.8%]) was started after SVT in 58.7% of newly diagnosed MPN patients and 40.6% of those with known MPN. 57.6% of patients were anticoagulated, 3.5% of patients were treated with an antiplatelet agent, and 11.7% were treated with both. The most common initial anticoagulants were vitamin K antagonists (VKA) (29.2%), direct oral anticoagulants (DOAC; 20.4%), and low-molecular-weight heparin (LMWH; 10.5%). DOACs were more commonly used in the USA and Asia than Europe (21.2%, 52%, and 13.5%; p<0.001). The median duration of anticoagulation was 23.9 months, with 62.8% still on anticoagulation after 3 years or at last follow-up. 1-year cumulative incidence of recurrent VT and AT was 14% (95% CI 11-18) (5.8% for recurrent SVT [95% CI 3.9-8.3]; 6.3% for other VT [95% CI 4.3-8.8]; 2.4% for AT [95% CI 1.3-4.2]), with an overall time to event 89 (IQR 34-193) days. Thrombosis incidence was similar in patients initially treated with VKA (13%), DOAC (15%) or LMWH (16%) (p=0.93); in comparison, individuals not treated with anticoagulation had 1-year thrombosis incidence of 13% (p=0.22). 1-year major and CRNMB cumulative incidence in all patients was 5.8% (95% CI 3.9-8.2) and 8.5% (95% CI 6.1-11), with median time to event 68 (IQR 13-150) days. Incidence of major bleeding was similar in VKA, DOAC, and LMWH-treated patients (5.9%, 6.6%, and 4.0%; p=0.89). 1-year cumulative incidence of SVT (partial) recanalization was 13% (95% CI 9.8-16) in all patients, with a median time to recanalization of 127 (IQR 40-323) days; recanalization rates were similar in anticoagulated and non-anticoagulated patients (p=0.76). There was a trend toward higher recanalization rates in patients treated with DOAC (26.9%) than with VKA (21.5%) or LMWH (13.6%; p=0.28). 1-year overall survival was 94.2% (95% CI 91.8-96.1) and similar between treatment groups (VKA 96.7%, DOAC 95.6%, LMWH 89.7%; p=0.11) and for no anticoagulation (82.3%; p=0.32). Conclusions: This is the largest contemporary cohort of MPN patients with SVT. MPN patients with SVT remain at risk for short-term thrombosis and bleeding complications regardless of treatment. We found no significant differences in outcomes between anticoagulation strategies, including in patients treated with DOACs compared to VKA or LMWH.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".