Novel Red Blood Cell Exchange Parameters for Treatment of Transfusion-Dependent Thalassemia Based on Experience of Five Patients
Bibliographic record
Abstract
Background: Thalassemias are inherited red blood cell disorders characterized by defective globin production, resulting in microcytic hypochromic anemia. Severe variants lead to transfusion dependence and consequent iron overload, often despite chelation therapy. The role of automated red blood cell exchange (RBCX) for transfusion-dependent thalassemia (TDT) is unclear and previously there was no specific apheresis parameters specific for thalassemia defined. We present our experience with patients with TDT treated with RBCX using higher hematocrit parameters specifically tailored for this condition. Methods: Five patients with TDT underwent chronic RBCX in place of simple transfusion with the primary goal of stabilizing iron overload. Novel parameters were established to satisfy the Thalassemia International Federation goal pre-transfusion hemoglobin of 9.5 g/dL, while targeting a post-transfusion hematocrit of 37-38%. Results: RBCX was well tolerated with infrequent occurrences of vasovagal reactions, asymptomatic hypotension, citrate side effects, and vascular access issues. The transfusion interval increased from an average of 3 weeks with simple transfusions to 5 weeks with RBCX. Despite an increase in average blood utilization, serum ferritin levels remained stable. Conclusion: RBCX with higher hematocrit parameters can be performed safely and efficiently in TDT patients. To our knowledge, this is the first report of TDT-specific RBCX parameters. Though blood utilization is higher with RBCX, it offers longer intervals between transfusions and has no increase in iron overload, improving quality of life for patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".