Thyroid Hormone Dysfunction and CRP Levels in Neonates With Sepsis
Bibliographic record
Abstract
Background: Thyroid hormone abnormalities are frequently encountered in patients with critical illness. Sepsis is an important cause of death of neonates in developing countries. The aim of our study was to evaluate the prognostic role of thyroid hormones (FT3, FT4, TSH) in neonates specifically with sepsis and septic shock and to correlate their levels of C-reactive protein (CRP). Methods: Forty neonates with sepsis were included in the study as cases. Neonates with gestational age less than 37 weeks, body weight less than 2,500 grams or with congenital abnormalities were excluded from the study. Septic neonates were further divided into sepsis survivors (n = 19), shock-survivors (n = 9) and non-survivors. Forty full term neonates without sepsis served as controls. Thyroid hormones and CRP were estimated by chemiluminescent immunometric assay and immunoturbidimetric assay respectively. Results: The FT3 and FT4 hormones levels were significantly decreased (P < 0.001) in neonates with sepsis as compared to controls. No significant difference was observed in TSH levels. Non survivors had lower FT3 and FT4 levels (P < 0.05) compared to sepsis-survivor group. There was also a significant negative correlation between CRP and FT3 level in non-survivor group (r = -0.60; P = 0.02) and septic shock survivor group (r = -0.78; P = 0.006). Conclusions: Low levels of FT3 and elevation in CRP correlate closely with decreased survival in septic neonates. J Endocrinol Metab. 2013;3(3):62-66 doi: https://doi.org/10.4021/jem167w
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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 | 0.002 |
| 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".