Heparin‐induced thrombocytopenia and thrombosis as an under‐diagnosed cause of flap failure in heparin‐naive patients: A case report and systematic review of the literature
Bibliographic record
Abstract
BACKGROUND: Heparin-induced thrombocytopenia and thrombosis (HITT) is an immune complex mediated and potentially devastating cause of flap loss in microvascular surgery. HITT may be an under-reported cause of early-flap failure due to subclinical manifestations at the time of flap loss. A case report of a patient presenting with HITT-related flap failure and the results of a systematic literature review of the clinical presentation of HITT in microsurgery are presented here. CASE REPORT: A patient suffering from a chronic wound on the right medial malleolus was treated with an ALT flap, which was compromised by thrombosis. Multiple attempts to rescue the flap including thrombolysis, popliteal AV loop, and a second free flap were all unsuccessful. Six days following the initial procedure, a diagnosis of HITT was made following a positive HITT-antibody test as the cause of flap failure. METHODS: PubMed, MEDLINE, and EMBASE searches yielded 113 results, of which 6 met our criteria for manuscripts describing HITT in microsurgical procedures. RESULTS: Evaluation of the peer-reviewed literature describing HITT in microsurgery suggests that HITT-related flap failure occurs rapidly, more frequently in heparin-naïve patients, and in advance of systemic thrombosis and thrombocytopenia. CONCLUSIONS: Due to the rapid and unpredictable onset of HITT during microsurgery, we recommend maintaining an index of suspicion for HITT in flaps with otherwise unexplained early thrombosis. We also encourage hematology consultation, discontinuing heparin use and initiating alternate thromboprophylaxis in order to inhibit the potential for subsequent life-threatening systemic complications as well as improving the potential for delayed reconstructive success.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".