Preterm birth and risk of hospitalisation for complex chronic conditions during childhood and adolescence
Bibliographic record
Abstract
AIM: To examine the relationship between preterm birth and hospitalisation for paediatric complex chronic conditions. METHODS: We conducted a cohort study of 1 269 745 children born between 2006 and 2022 in Quebec, Canada. We classified preterm birth as extreme (<28 weeks), very (28-31 weeks), and moderate (32-36 weeks). The outcome was hospitalisation for complex chronic conditions, including neurologic, neuromuscular, cardiovascular, respiratory, renal, gastrointestinal, haematologic, immunologic, endocrine, and neoplastic disorders up to 16 years of age. We computed adjusted hazard ratios (HR) and 95% confidence intervals (CI) for the association between preterm birth and complex chronic conditions during 9 948 734 person-years of follow-up. RESULTS: Hospitalisation rates for complex chronic conditions were higher for children born preterm than at term (6.88 vs. 2.24 per 1000 person-years). Preterm birth was associated with all complex chronic conditions, especially respiratory (HR 4.64, 95% CI 4.01-5.37), cardiovascular (HR 3.68, 95% CI 3.47-3.90), and neurologic disorders (HR 3.48, 95% CI 3.21-3.77). Associations were present at all ages and for all degrees of prematurity, but were strongest with extreme prematurity. CONCLUSION: Preterm birth increases the risk of hospitalisation for complex chronic conditions up to age 16 years. Preterm children may benefit from enhanced care throughout childhood and adolescence.
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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".