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Transfusion-Related Acute Lung Injury (TRALI): A Retrospective Analysis of 119 Cases.

2004· article· en· W2462258177 on OpenAlexaffabout
Lynn K. Boshkov, Judith Logan, Linda Podlosky

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineTransfusion-related acute lung injuryEtiologyMedical recordBlood productRetrospective cohort studyInstitutional review boardPediatricsTransfusion medicineEpidemiologyElectronic recordsEmergency medicineIntensive care medicineInternal medicineBlood transfusionLungSurgeryDatabasePulmonary edema

Abstract

fetched live from OpenAlex

Abstract Following Institutional Review Board approval, detailed data involving patient, product, and clinical factors was retrospectively gathered on 119 TRALI cases identified between 1991 and 1998 at University of Alberta Hospital in Edmonton, AB. This data was gathered as a complement to previously published work (Silliman et al, Blood2003: 101: 454) on the epidemiology and etiology of TRALI which consisted of 90 sequentially-identified TRALI reactions in 81 patients. In the current study we sought additional detailed clinical and laboratory data on these cases and others identified during the stated time period. Our aim was to help characterize patients who get TRALIs and/or to identify clinical correlates of TRALI. All TRALI were identified on the basis of 1) acute onset of respiratory distress mandating urgent medical intervention as the predominant symptom (peripheral or central cyanosis was noted in virtually all cases and all required supplemental oxygen.); 2)symptoms temporally associated with transfusion of a blood product, and 3) no other cause for the acute respiratory deterioration evident. All diagnoses were reviewed by a transfusion medicine physician. Data was abstracted onto prepared questionnaire forms by 2 of us (LKB and LP) following detailed review of hospital charts and transfusion service records. An electronic database was then prepared using deidentified forms (unique patient code substituted for name and date of birth) and data entered by double entry to assure accuracy. Not all data fields were available on all patients. Preliminary data analysis of these TRALI cases reveals: Mean age of TRALI patients: 39.07 years (range 3 mos – 91 years). Gender: 49% male, 51 % female Hypoxemia: Arterial blood gases available on 41 cases. All hypoxemic on basis of O2 saturation < 90% on room air or higher FIO2. Diagnosis of malignancy: 77 / 119 = 65 % of which 54 (45%) were on chemotherapy. Most of the malignancies were hematological. Cardiopulmonary bypass: 13 patients: 9 coronary artery bypass grafts (one with valve replacement), 3 valve replacements and one ventricular septal defect closure Surgery: 58 cases with preceding surgery within 1–2 days of TRALI (17 central venous cather insertions, 4 endoscopy or bronchoscopy and 37 other major or minor surgery) Time from initiation of transfusion to onset of symptoms: < 15 mins (n=15), 15 min – 1 hr (n=56), 1–2 hrs (n=14), unknown (n = 34) Type of venous access used for transfusion: central line (n = 24), peripheral line (n=7), unknown (n=63) Pre-transfusion white blood cell (WBC) count x 10-9/L: Available in 107 cases.. Average = 13.8 (range 0.1 – 259). WBC > 30: n = 8; WBC < 1.5: n = 40; WBC 1.1–1.5: n = 3; WBC 0.6–1.0: n = 9; WBC 0.3–0.5: n = 21; WBC 0.2: n = 4; WBC 0.1: n=3. Although these data are retrospective and limited, they suggest that TRALI can be seen in any age group, is equally common in males and females, is most often rapid in onset (15 min – 1 hour), and can occur even at low WBCs. Although it is unclear from the present data alone, an increased frequency of TRALI was noted in a nested case-control study (see reference above) in patients with underlying hematological malignancy and antecedent cardiopulmonary bypass.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.007
GPT teacher head0.262
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes2
Has abstractyes

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