The transfusion-associated dyspnea prospective observation and laboratory assessment study: a protocol for investigating and disambiguating cardiopulmonary and high-grade febrile transfusion reactions in adults
Bibliographic record
Abstract
Background: Cardiorespiratory transfusion reactions drive most transfusion-related morbidity and mortality. Transfusion-associated circulatory overload and transfusion-related acute lung injury have established causes, important impacts, mitigation options, and revised definitions, while non-conforming CRTRs fall into a category known as transfusion-associated dyspnea. Though procedures to investigate high-risk febrile transfusion reactions are typically rooted in detecting incompatibility or bacterial contamination, a common standard for examining CRTRs is lacking. CRTRs are further challenged by charting limitations, confounding (or enhanced susceptibility) by comorbidities, and/or overlapping insults. Deeper profiling of CRTRs could improve categorizations, reveal best-value diagnostics, and decipher the nature of (and/or minimize) reactions coded as TAD. Methods: The primary objective of this multi-center study is to reduce uncertainty in final conclusions drawn on CRTRs (cases), defined by dyspnea with objective disturbances and/or significant hemodynamic insults, with/without fever (±F). HRFTRs (controls) represent higher-grade F (T≥39°C or chills/rigors or lower-grade F (≥38°C by +Δ1°C) with non-respiratory effects). Patients (goal: 200) consent to additional sampling (≤24h post-TR) to identify contributing factors in case/control presentations, and in diagnostic groups (TRALI, TACO±F, TAD). Mechanistic axes of interest are cardiorenal, hemolytic, leukoagglutinating, biolipid, vasoactive, and inflammatory. Secondary goals include elucidation of real-life “insult-multiplicity” in CRTRs, tests of greatest yield, and distinguishing features in TRALI/TACO/TAD. Conclusions: A deep systematic CRTR probe may not only reduce diagnostic uncertainty but frame biomarker performance and pathologic signatures in definition-specific CRTRs. The re-classifiability or biology of TAD may be better understood. High-quality, mechanistic, true-to-quantity hemovigilance better exposes burdens and management options. Trial Registration: The trial is registered with ClinicalTrials.gov. with registry number NCT04267029.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".