Successful Use of Adjunctive Red Blood Cell Exchange Therapy for Treatment of an Acute Hemolytic Reaction After ABO-Incompatible Red Blood Cell Transfusion
Bibliographic record
Abstract
An acute hemolytic transfusion reaction is a potentially fatal complication resulting from the transfusion of mismatched blood products. Symptoms vary from mild to severe depending on how much incompatible antigen was transfused and the nature of the recipient's antibodies. There is no consensus agreement of appropriate management other than discontinuing the transfusion and basic supportive methods including adjunctive pharmacologic agents. A 40-year-old male presented with a gunshot wound to the upper torso. During surgery, the O+ patient lost 1.3 L of blood and postoperatively was inadvertently given one unit of A+ packed red blood cells. The blood bank noticed the error and notified the floor within the hour. An acute hemolytic transfusion reaction had progressed to shock and disseminated intravascular coagulation within hours. The clinical course continued to decline despite a norepinephrine drip and a red blood cell exchange transfusion was implemented within 5 h of the mismatched transfusion. The patient's hematological parameters and clinical markers improved and he was eventually discharged in stable condition. An adjunctive red blood cell exchange transfusion may be useful when treating an ABO-incompatible acute hemolytic transfusion reaction if there has been a large volume mismatched transfusion and a poor clinical response to basic supportive methods.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".