Neonatal Hyperbilirubinemia treatment by Locally Made Low-Cost Phototherapy Units
Bibliographic record
Abstract
BACKGROUND: Hyperbilirubinemia is a very common finding in neonates and may occasionally cause severe morbidity and even mortality. Severe hyperbilirubinemia is typically treated, either with phototherapy or exchange transfusions. This study assessed the effectiveness of a locally manufactured phototherapy device for reducing serum bilirubin in neonates with severe hyperbilirubinemia. METHODS: Retrospective chart review was carried out to assess the outcome of 32 infants who were treated for neonatal hyperbilirubinemia at Jimma Medical Center (JMC) from May, 2017 to April, 2018. RESULTS: Out of 75 charts reviewed, only 32 had subsequent bilirubin level determination, 18(56.3%) of them were males. The age at which jaundice was noticed and confirmed with plasma bilirubin level was 4 ± 2.7 days (mean±SD). Sepsis was thought to be the cause of hyperbilirubinemia in 13(40.5%) of the cases, while hemolysis from ABO incompatibility or RH incompatibility contributed in 5(15.6%) and 3(9.4) of the infants respectively. The mean (minimum, maximum) level of baseline TSB was 21.4(14, 55) mg/dL. Five infants (15.6%) had exchange transfusions because of extreme hyperbilirubinemia. The duration of phototherapy and decline in TSB were 5.34 ±2.8 days and 2.2±1.5mg/dl/day (mean±SD) respectively. The levels of TSB before and at the end of phototherapy were significantly different (p<0.001). CONCLUSION: Acceptable reduction of TSB was achieved by using locally manufactured PT devices. Benefits included better accessibility and lower price and maintenance costs. High mean baseline TSB was observed, and duration of phototherapy is prolonged which could indicate late diagnosis compared to similar studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".