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Record W2158813710 · doi:10.1111/trf.12510

Retinopathy of prematurity and transfusion practice

2014· letter· en· W2158813710 on OpenAlexaboutno aff
Robert D. Christensen, Sarah J. Ilstrup, M. Elizabeth Hartnett

Bibliographic record

VenueTransfusion · 2014
Typeletter
Languageen
FieldMedicine
TopicRetinopathy of Prematurity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRetinopathy of prematurityMedicineChildhood blindnessBlindnessPediatricsSupplemental oxygenBlood transfusionHypoxia (environmental)RetinalOphthalmologyGestational ageSurgeryOptometryAnesthesiaOxygenPregnancyBiology

Abstract

fetched live from OpenAlex

In the United States, 3.9 million babies are born each year, of which approximately 28,000 (0.7%) weigh less than 1250 g at birth. Approximately half of these small preterm infants become affected, to a lesser or greater extent, by retinopathy of prematurity (ROP), and therefore screening examinations are part of routine care.1 ROP, previously known as retrolental fibroplasia, is a disorder of disorganized growth of developing retinal blood vessels and can result in fibrovascularization and retinal detachment. In approximately 90% of neonates who develop ROP, the disorder resolves, requires no specific treatment, and leaves no permanent damage. However, the 10% with the most severe forms of ROP go on to have impaired vision or even blindness.2 In fact, 1100 to 1500 infants annually in the United States develop ROP severe enough to require specific treatment and 400 to 600 of these become legally blind.3 The development of ROP historically has involved both elements of high oxygen saturation and relative hypoxia.4 Besides these oxygen stresses, fluctuating oxygen levels and poor infant growth are also now recognized as contributing elements, but many gaps exist in understanding pathogenesis and susceptibility factors. Randomized, masked trials in the United States, Australia, New Zealand, Canada, and the United Kingdom indicated that lower targets of oxygen saturation (85%-89%) using pulse oximeters reduced the rate of treatment for ROP (10.6% vs. 13.5%; RR, 0.79; 95% CI, 0.63-1.00; p = 0.045). However the lower-target group had a higher rate of death than those in the higher-target group (saturations 91%-95%; 23.1% vs. 15.9%; RR in the lower-target group, 1.45; 95% confidence interval [CI], 1.15-1.84; p = 0.002).5 Evidence for genetic susceptibility to ROP is strong, but the identity of the gene(s) involved and the molecular mechanisms remain uncertain. In a recent meta-analysis including seven studies, Liu and colleagues6 concluded that advanced ROP is significantly associated with VEGF (vascular endothelial growth factor) gene polymorphisms. Analyzing monozygotic versus dizygotic twins using mixed-effects logistic regression, Bizzarro and colleagues7 concluded that 30% of the pathogenesis of ROP can be accounted for by clinical factors (including hyperoxia) with genetic factors accounting for 70%. Sanghi and colleagues8 studied 35 pairs of identical twins where both developed ROP and found that 20% had the same or approximately the same severity of ROP while 80% were widely discordant in severity, suggesting that both genetic and environmental factors are relevant. Early dosing of recombinant erythropoietin (rEPO) to preterm infants was once thought to be a risk factor for ROP development,9 but animal models,10 human studies,11, 12 and a revision of the original meta-analysis data (Ohls and Widness, personal communication, 2013) all indicate that rEPO dosing is not a risk factor for developing ROP. Beginning in the 1980s many reports concluded that RBC transfusion was a risk factor for ROP.13-16 Recent publications also report this association,17-19 but it is difficult to sort out the effect of RBC transfusions from the fact that the most severely ill neonates receive more RBC transfusions. This increased transfusion requirement is largely due to the relationship between the number of blood tests needed for intensive care monitoring and the number of RBC transfusions given.20, 21 It has been postulated that damaging effects of transfusions on the immature retina are mediated by an increase in free iron.22 However, whether this is so and whether reducing RBC transfusions of neonates susceptible to ROP reduces their ROP risk are not known.23 In this issue of TRANSFUSION, Dani and colleagues24 from Florence, Italy, report an intriguing observation relevant to ROP pathogenesis and prevention. Reviewing their single-center data from 1999 through 2008, they found that neonates born at less than 29 weeks' gestation who received fresh-frozen plasma (FFP) infusions during their first week after birth were less likely to develop ROP. Their data indicated that receiving at least two infusions of FFP diminished the risk of ROP by approximately one-half (relative risk [RR], 0.46; 95% CI, 0.23-0.93). The FFP was administered to these neonates generally because of prolonged clotting studies or signs of bleeding. The authors list the appropriate cautions that the study was retrospective and that FFP administration was not administered with the intent of diminishing the ROP risk. Also, the neonates who received FFP differed in known and unknown ways from those who did not, and those differences may be relevant to the outcomes. If FFP has the capacity to supply preterm infants with something of value toward ROP prevention, that substance might be IGF-1 or IGFBP-3 as the authors postulate, but it might just as likely be other factors or properties currently untested or unknown. Perhaps their observation, although in need of validation, will help focus ROP research efforts toward preventive approaches supplemental to the current transcutaneous oxygen saturation control programs.1-3 Moreover, if preventive substances from FFP can be identified, perhaps supplying the specific factor(s) in reliable amounts could have substantial advantages over infusing FFP. Importantly, we judge that it would be imprudent to advise a widespread practice change on the basis of this observation; specifically, we do not advocate routinely infusing FFP to the smallest neonates with the hope of reducing their risk of severe ROP. Rather, we maintain that, like many associations discovered in retrospective data analysis, this provocative and potentially important finding should be followed by validation, prospective studies, and other rigorous means of testing efficacy, risk, and benefit. The authors report no conflicts of interest or funding sources.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.272
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2014
Admission routes1
Has abstractyes

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