Increased risk of hospitalization among children who were HIV-exposed and uninfected compared to population controls
Bibliographic record
Abstract
OBJECTIVES: While studies have demonstrated increased morbidity and mortality risk in infancy among children who are HIV-exposed and uninfected (CHEU), longitudinal data are limited. The objective of this study was to assess long-term risk of hospitalization among CHEU compared to children who are HIV-unexposed and uninfected (CHUU), and determine risk factors for hospitalization among CHEU. DESIGN: A longitudinal cohort study (1988-2015) linking the Centre maternel et infantile sur le SIDA cohort (Montreal, Quebec) to administrative data from the Régie de l'assurance maladie du Québec (RAMQ), a universal health insurance provider in the province of Quebec. METHODS: CHEU from the CMIS cohort were matched 1 : 3 by age, sex, and postal code with CHUU controls from the RAMQ database. Incidence and causes of hospitalization between CHEU and CHUU were compared using Poisson regression. RESULTS: Seven hundred twenty-six CHEU were matched to 2178 CHUU. Risk of first hospitalization was significantly higher among CHEU at 1 year (incidence rate ratio [IRR] 2.22 [1.86-2.66]), 5 years (IRR 1.62 [1.39-1.90]), and over the lifespan (IRR 1.55 [1.33-1.81]). Among CHEU, significant risk factors for hospitalization on univariate regression analysis included birth year before 2005, prematurity, small for gestational age (SGA), detectable maternal viral load (dVL) at delivery, and maternal hepatitis C co-infection. In the adjusted analysis, small for gestational age and dVL remained significant risk factors. CONCLUSION: CHEU had a higher rate of hospitalization than CHUU controls across their lifespan. Significant risk factors included SGA and detectable maternal dVL, suggesting a need for enhanced pediatric care for these children.
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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".