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Record W2803779060 · doi:10.1093/pch/pxy054.073

INVESTIGATING THE PHOTOTHERAPY THRESHOLDS IN PRETERM INFANTS

2018· article· en· W2803779060 on OpenAlexaff
Thivia Jegathesan, Michael Sgro, Vibhuti Shah, A N Campbell, Douglas M. Campbell

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineGestationGestational agePediatricsRetrospective cohort studyKernicterusNomogramObstetricsBirth weightJaundicePregnancySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Currently there are limited guidelines for the management of hyperbilirubinemia in preterm infants. Current guidelines are limited to individual sites and are consensus-based opinions. The current decrease in chronic bilirubin encephalopathy in preterm infants is a result of liberal use of phototherapy that are not based on evidence from a large dataset of preterm infants. The pattern of bilirubin levels in preterm is unclear and currently based on clinical judgement. Nomograms in term infants has been proven to be beneficial and effective in reducing unnecessary treatment of hyperbilirubinemia. A nomogram designed for preterm infants would allow health professionals to quantify risk based on evidence based methods and reduce the number of test done on preterm infants. OBJECTIVES The objectives of this study are 1) To determine photherapy thresholds in preterm infants and 2) To determine the normative pattern of bilirubin values in preterm infants. DESIGN/METHODS A multi-site retrospective chart review of preterm infants ≤ 35 weeks gestation born between January 2012- November 2017 was conducted. The following data was collected; all TSB, postnatal hours of age, duration of phototherapy, infant characteristics (gestational age, birth weight, outcomes) and maternal history (inter and anter partum medication). TSB samples prior to the initiation of phototherapy were analyzed per hour and stratified by gestational age groups. RESULTS A total of 330 preterm infants were included in the retrospective review (50 24-28 weeks gestation, 100 29-32 weeks gestation, and 180 33–35 weeks gestation). The mean peak bilirubin in infants 33-35 week gestation was 198 umol/L at 4 days. These infants were started on phototherapy at a mean age of 89 hours. At 24 hours of age these infants’ bilirubin was 104 umol/L (72-189umol/L). The mean peak bilirubin in infants 29–32 weeks gestation was 181umol/L at 5 days. At 24 hours of age the mean bilirubin was 109 umol/L. Finally in infants 24–28 weeks gestation the mean peak bilirubin was 127 umol/L at 4 days. These infants were started on phototherapy at 44 hours of age. CONCLUSION Bilirubin values in preterm infants is hetergenous across gestional ages. Phototherapy treatment thresholds are lower in preterm infants between 24–28 weeks gestation. A nomogram for preterm infants maybe possible in infants between 29–35 weeks. Further research is required to determine hour specific bilirubin levels in preterm infants.

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)0.004
metaresearch head score (Gemma)0.021
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 score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.018
GPT teacher head0.313
Teacher spread0.295 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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