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Record W4408529731 · doi:10.7759/cureus.80706

Exploring the Relationship Between Blood Transfusions and Development of Bronchopulmonary Dysplasia in Neonates

2025· article· en· W4408529731 on OpenAlexaff
Abdulrahman Al-Matary, Ibrahim AlShalan, Fawaz Mayouf Aldhafiri, Munthir Almujahid, Abdulrahman Almazyad

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsMedicineBronchopulmonary dysplasiaIntensive care medicinePediatricsGestational agePregnancy

Abstract

fetched live from OpenAlex

BACKGROUND: Transfusions of red blood cells and platelets may worsen pulmonary inflammation and contribute to the development of bronchopulmonary dysplasia (BPD), a common lung condition in preterm infants. Although nearly all infants with severe BPD have received transfusions, their role as a potential cause of BPD has not been thoroughly studied. OBJECTIVES: This study aimed to explore the relationship between blood product transfusions and the development of BPD among preterm neonates in the Department of Neonatology at King Fahad Medical City, Riyadh, Saudi Arabia. METHODS: A retrospective study was conducted from 2011 to 2020 on neonates with a gestational age of less than 32 weeks who were admitted to the hospital within 48 hours of birth. Data were extracted from the department's medical records on patient demographics, clinical factors, and blood transfusions. Logistic regression analysis was performed to assess the relationship between blood transfusion and the development of BPD in the study cohort. RESULTS: A total of 1,553 neonates were included in the study. The mean gestational age was 28.8 ± 2.7 weeks, and the mean birth weight was 1264.2 ± 515.1 grams. Among the neonates, 183 (11.8%) were diagnosed with BPD. Neonates who received blood transfusions had a significantly higher likelihood of developing BPD compared to those who did not (OR = 9.1, 95% CI = 6.3-13.1), with the risk being even higher among those who received fresh frozen plasma (OR = 9.9). After adjusting for potential confounders, multivariate logistic regression analysis confirmed that blood transfusion remained a significant factor in the development of BPD (OR = 3.8, 95% CI = 2.5-5.8). Stepwise regression analysis further identified blood transfusion as the strongest predictor of BPD (OR = 4.5, 95% CI = 2.91-6.70). Additional significant predictors included retinopathy of prematurity (ROP), patent ductus arteriosus (PDA), sepsis, and non-invasive ventilation (NIV). CONCLUSION: This study found a significant association between blood transfusions and the development of BPD in preterm neonates, and it was found as a strong predictor. Other factors such as ROP, PDA, sepsis, and NIV use were also associated with BPD. The findings suggest that blood transfusion may play a critical role in the development of BPD.

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)0.005
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.116
GPT teacher head0.301
Teacher spread0.185 · 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
Published2025
Admission routes1
Has abstractyes

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