Newborn Thyroid Stimulating Hormone Levels in Heel Prick Blood at the Yaounde Gyneco-Obstetric and Paediatric Hospital Cameroon
Bibliographic record
Abstract
Background: Thyroid hormone is necessary for normal brain growth, myelination, normal neuronal connections and physical growth. The most critical period for the effect of thyroid hormone on brain development is the first few months of life. No data from Cameroon that described the iodine status and thyroid function of the Cameroonian pregnant women and neonates is available. This study determined the newborn Thyroid Stimulating Hormone levels at the Yaounde Gyneco-Obstetric and Paediatric Hospital-Cameroon and demonstrated the association between perinatal factors and newborn TSH levels.Subjects and method: A descriptive cross-sectional study was done from the 10th January to 10th March 2017. On the third day of life, the heel prick blood obtained and dropped on a filter paper was analyzed for TSH using the commercial Human Neonatal TSH ELISA Kit (Catalog number EL10012N from Anogen, Yes Biotech Laboratories Ltd. Canada). The mean Thyroid Stimulating Hormone levels of the newborns were determined and, considering the perinatal factors and one-way analysis of variance were used to determine any correlation between the Thyroid Stimulating Hormone values and perinatal factors.Results: 180 newborns were recruited during the study period. The Thyroid Stimulating Hormone values were normally distributed, within the range of [1.17-2.57 μIU/ml]. The mean Thyroid Stimulating Hormone value for the subjects of was 1.59 ± 0.22 μIU/ml. 96.11% were within [-2SD and + 2SD]. Only high birth weights have been found to be associated with the high Thyroid Stimulating Hormone levels.Conclusion: This study presented the normal reference values for Thyroid Stimulating Hormone in Cameroonian newborns at the Yaounde Gyneco-Obstetric and Pediatric Hospital Cameroon. Using this result, no neonates in the study had values pointing to a Congenital Hypothyroidism diagnosis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".