Serial (1–3)-beta-D-Glucan (BDG) monitoring shows high variability among premature neonates
Bibliographic record
Abstract
This study aimed to characterize the baseline values and dynamics of serum (1,3)-Beta-D-Glucan (BDG) in neonates at high risk of neonatal invasive candidiasis (NIC); as well as to determine the effect of various clinical variables on these levels. Single center prospective cohort study was performed including 20 high-risk neonates (gestational age < 29 weeks and/or birth weight ≤ 1000 gr). Samples for BDG (Fungitell® assay) were obtained twice weekly during 6 weeks. Nineteen neonates were enrolled with a median gestational age of 25 weeks (IQR 24-27), median birth weight of 730 gr (IQR 650-810). None of the neonates was diagnosed with NIC. 190 serum samples were included. The median BDG value was 59 pg/ml (IQR 30-148), mean was 119 pg/ml (SD ± 154). A total of 42.1% (80/190) samples showed values ≥80 pg/ml, with all the neonates presenting at least one test above this cut-off. Neonatal age did not show an association with BDG levels. Exposure to steroids and the use of a heel prick as sampling method were associated with statistically significant higher BDG levels. The BDG levels showed high variability and in a significant proportion of samples values were above the threshold for positivity (e.g., ≥80 pg/ml) in the absence of NIC. The exposure to postnatal steroids and the heel prick as the method of blood sampling were associated with higher BDG levels. LAY SUMMARY: Neonatal invasive candidiasis (NIC) presents high morbi-mortality. The diagnosis of NIC is often challenging. Blood cultures have limitations and better diagnostic tools are needed. Beta-D-glucan is a diagnostic marker which could be potentially used, although still more clinical data are required.
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 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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 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".