P-152. Chitinase-3-like Protein 1 is Associated with Stunting and Neurodevelopmental Delay in Ugandan Children Who Are HIV Exposed But Uninfected
Bibliographic record
Abstract
Abstract Background Children who are HIV exposed but uninfected (cHEU) are at risk for impaired linear growth and neurodevelopment, which evolving evidence suggests may be associated with elevated inflammatory biomarkers. Chitinase-3-like protein 1 (CHI3L1) is produced by activated neutrophils and has been linked to clinical manifestations of systemic inflammation in children living with HIV. We aimed to explore CHI3L1 as a potentially relevant marker for adverse growth and neurodevelopment outcomes experienced by cHEU. Methods This was a prospective cohort study conducted at two pediatric HIV centres in Uganda (Jinja Regional Referral Hospital and Kambuga District Hospital). We enrolled children at birth, born to mothers living with HIV, diagnosed prior to the pregnancy or at the time of delivery. We excluded children who were subsequently found to be vertically infected (n=8), children who died before 18 month of age (n=3), as well as those lost-to-follow-up and those with missing CHI3L1 measurement. Neurodevelopmental ability (rank) was assigned based on the standardized score of Malawi Developmental Assessment Tool (MDAT) milestones achieved at 18 months of age. CHI3L1 levels were quantified by ELISA (R&D Duoset, Minneapolis, MN, USA). Results We included 153 cHEU (53% female) born between March 2016 and June 2018. At 18 months of age, 42%, 0.7%, and 2.8%, were severely stunted, wasted, and underweight, respectively. Performance on the MDAT was similar to Malawian norms. The median CHI3L1 level was 30 µg/L (IQR 18-47). CHI3L1 levels were inversely correlated with weight-for-age (ρ= -0.22, p=0.0091) and height-for-age (ρ= -0.24, p=0.0039) z-scores, but not the weight-for-height or head circumference-for-age z-scores. CHI3L1 levels were higher in children with severe stunting (median 40 µg/L, IQR 26-86) than those without severe stunting (median 27 µg/L, IQR 16-39, p=0.0010). CHI3L1 was inversely correlated with the standardized MDAT scores (ρ= -0.29, 0.00023). Lower scores in the language and gross motor domains were associated with higher CHI3L1 whereas scores in the fine motor and social domains were not associated with CHI3L1. Conclusion CHI3L1 was associated with severe stunting and neurodevelopmental delay in our cHEU cohort in Uganda. Disclosures All Authors: No reported disclosures
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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) | 0.001 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".