Comparison of Serum Bilirubin to Transcutaneous Bilirubin During and After Phototherapy
Bibliographic record
Abstract
Objective: To compare transcutaneous bilirubin with total serum bilirubin in neonates during and after phototherapyStudy design: A prospective observational study for one yearParticipants: 799 neonates >35 weeks of gestation, developing jaundice within 10 days of life.Intervention: A photo-occlusive patch was applied over the sternum. TcB assessment with Drager JM 103 multi wavelength handheld transcutaneous bilirubinometer was done in this area paired with a concurrent serum sample during and 24 hours after stopping phototherapy.Outcome: In our study the mean TCB during phototherapy was 13.26 ± 2.42 mg/dl with minimum value of 4.50 mg/dL and maximum value of 18.40 mg/dL in the study population (95% CI 13.09 to 13.43 mg/dL). The mean TSB during phototherapy was 13.06 ± 2.52 mg/dl with minimum value of 4.30 mg/dL and maximum value of 18.70 mg/dl in the study population (95% CI 12.88 to 13.23 mg/dL). The mean TCB 24 hours after stopping phototherapy was 10.37 ± 2 mg/dL with minimum value of 4.20 mg/dL and maximum value of 16.10 mg/dL in the study population (95% CI 10.33 to 10.61 mg/dL). The mean TSB 24 hours after stopping phototherapy was 10.47 ± 2.02 mg/dL, minimum value of 4.80 mg/dl and maximum value of 15.30 mg/dL in the study population (95% CI 10.33 to 10.61).Results: Transcutaneous bilirubin has a good correlation with total serum bilirubin during phototherapy. (r=0.881, P<0.001). Transcutaneous bilirubin has a significant correlation with total serum bilirubin after phototherapy. (r=0.912, P<0.001).Conclusion: In our study transcutaneous bilirubin correlated significantly with total serum bilirubin at the patched sternal site during and 24 hours after stopping phototherapy, supporting previous studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".