Prescription of cardiovascular medication in children with congenital heart defects across six European Regions from 2000 to 2014: data from the EUROlinkCAT population-based cohort study
Bibliographic record
Abstract
OBJECTIVES: Advances in surgical management strategies have substantially reduced fatality from congenital heart defects (CHD). Decreased infant mortality might be expected, consequentially to result in greater morbidity in older children due to complications later in childhood and adolescence. This study aims to evaluate the use of cardiovascular medication (CVM) as an indicator of disease burden in children born with CHD in the first 10 years of life. DESIGN: Population-based cohort study. SETTING: Six population-based registries from the European Surveillance of Congenital Anomalies (EUROCAT) network participated. Data from live born children with major congenital anomalies (CA) born from 2000 to 2014 were linked to prescription databases. Four groups of children were analysed: CA, CHD, severe CHD (sCHD) and ventricular septal defect (VSD) without sCHD. Live born children without CA were included as reference group. PARTICIPANTS: We obtained data on 61 038 children born with a CA, including 19 678 with CHD, 3392 with sCHD, 12 728 children with VSD without sCHD, and 1 725 496 reference children. RESULTS: Children born with sCHD were the most likely to receive a CVM prescription (42.9%, 95% CI, 26.3 to 58.5) in the first year of life compared with 13.3% (6.7 to 22.0) of children with any CHD, 5.9% (3.7 to 8.7) of children with any CA and 0.1% (0.0 to 0.1) of reference children. Medication was less likely to be prescribed after the first year of life for sCHD; 18.8% (14.8 to 23.1) for children 1-4 years and 15.8% (12.0 to 20.1) 5-9 years. Children with sCHD were most likely to receive a diuretic (36.4%, 18.6 to 54.5), an antihypertensive (6.9%, 3.7 to 11.3) or a beta-blocker (5.5%, 2.9 to9.2). CONCLUSION: Almost half of all children with sCHD were prescribed CVM in their first year of life. For all four groups of children with anomalies, the proportion of children with a CVM prescription decreased with age.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".