Risk Factors, Clinical Presentation, Diagnosis, and Treatment Outcomes of Portal Vein Thrombosis: A Five-Year Hospital-Based Study From Qatar
Bibliographic record
Abstract
Background: There is a lack of robust epidemiological information on portal vein thrombosis (PVT) in Qatar. This study aimed to describe the risk factors, clinical presentation, diagnosis, and treatment outcomes of PVT in patients with and without liver cirrhosis admitted to Hamad General Hospital. Methods: This retrospective observational study was conducted at Hamad General Hospital, Doha, Qatar. Consecutive patients with PVT between January 1, 2015 and December 31, 2019 were included in this study. Results: We included 363 cases representing 0.05% of all inpatients admitted to our hospital during the study period. Their mean age was 47.79 ± 14.48 years. There were 258 (71.1%) males and 105 (28.9%) females. Abdominal pain was the most common presenting symptom (160 (44.1%)), while splenomegaly was the most common presenting sign (158 (43.5%)). Liver cirrhosis was the most frequent risk factor for PVT (147 (40.5%)), while no risk factors were identified in 49 (13.5%) patients. Anticoagulant therapy was given to 171/207 (82.6%) patients with acute PVT and 19/156 (12.2%) patients with chronic PVT. The options used for anticoagulation treatment were: low molecular weight heparin (LMWH) or unfractionated heparin alone, LMWH/unfractionated heparin followed by warfarin, and direct-acting oral anticoagulants (rivaroxaban). Out of the 262 patients in whom PVT recanalization was assessed, 43.8% of the cases had recanalization after anticoagulation treatment, while 12.6% of them had spontaneous recanalization without such therapy. A comparison between different anticoagulants used in this study showed no significant difference in the effectiveness of the three regimens used. The 30-day mortality was recorded for 71 patients (19.5%). The major risk factors for 30-day mortality were: age over 45 years, male sex, hepatic failure, malignancies, and bilirubin > 34 µmol/L. Conclusion: PVT is a rare clinical entity in Qatar with liver cirrhosis being the most common risk factor. Early administration of anticoagulation therapy is associated with a significant recanalization, while age > 45 years, male sex, hepatic failure, malignancies, and bilirubin > 34 µmol/L are independent risk factors for 30-day mortality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".