Fatal Pulmonary Embolism Secondary to Heparin‐Induced Thrombocytopenia in Hemodialysis: A Case Study
Bibliographic record
Abstract
ABSTRACT Background Heparin and low‐molecular‐weight heparin (LMWH) are first‐line anticoagulants in hemodialysis but may trigger heparin‐induced thrombocytopenia (HIT), a severe immune‐mediated complication. Despite its clinical significance, HIT is often misdiagnosed early, increasing thromboembolic risks and mortality. Case Report We present a case of a 61‐year‐old male patient who developed HIT during initial hemodialysis. The patient exhibited recurrent catheter thrombosis, intermuscular venous thrombosis in the lower extremities, and progressive thrombocytopenia following LMWH administration during dialysis. The diagnosis was confirmed by IgG‐specific anti‐PF4/heparin antibody testing. Shortly after the last dialysis session, the patient developed acute dyspnea and chest pain. Computed tomography angiography of the chest revealed pulmonary embolism. Despite aggressive intervention, the patient's condition deteriorated rapidly, with platelet counts dropping to 5 × 10 9 /L, culminating in a fatal outcome. Conclusion The combination of dialysis catheter thrombosis and declining platelet counts constitutes an essential early diagnostic clue for HIT in hemodialysis patients, the recognition of which could prevent fatal thromboembolic complications.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".