Cord-Blood High-Sensitivity Troponin-I Reference Interval and Association with Early Neonatal Outcomes
Bibliographic record
Abstract
Objective This study was aimed to establish a reference interval for high-sensitivity cardiac troponin I (hs-cTnI) in umbilical cord blood of infants and to assess its association with the risk of predetermined early neonatal outcomes in a high-acuity tertiary care hospital. Study Design Umbilical cord-blood samples were collected and hs-cTnI was measured in all infants born between August 2015 and September 2015 at McMaster Children's Hospital (n = 256). Gestational age, birth weight, Apgar's scores, age in days at which feeding was established, neonatal intensive care unit (NICU) admission, and discharge in days after birth were recorded. Results The 90th, 95th, and 99th percentiles for the term infant subcohort were 19.75, 41.45, and 166.30 ng/L, respectively. We observed decreased mean gestational ages and birth weights in both the 90th (37.7 weeks; 2,961.4 g) and 95th percentiles (37.1 weeks; 2,709.9 g) when compared with the remaining infants. Moreover, levels of hs-cTnI were significantly higher in infants with respiratory distress requiring intervention (p < 0.05), low birth weight infants (p < 0.01), preterm infants (p < 0.001), and those requiring NICU admission (p < 0.01). Multiple linear regression of the recorded demographic factors revealed prematurity (gestational age <35 weeks: coefficient 0.346 ± 0.160, p < 0.05; gestational age <37 weeks: coefficient 0.253 ± 0.105, p < 0.05) and male sex (coefficient 0.138 ± 0.047; p < 0.01) to be most predictive of log-hs-cTnI levels. Conclusion This study establishes the reference values for cord-blood hs-cTnI in infants at a tertiary care center. Premature and sick infants requiring NICU admission had significantly higher levels of hs-cTnI. Key Points
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 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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".