Exposure to Low-Dose Ionizing Radiation From Cardiac Procedures in Patients With Congenital Heart Disease
Bibliographic record
Abstract
BACKGROUND: The burden of low-dose ionizing radiation (LDIR) exposure from medical procedures among individuals with congenital heart disease (CHD) is unknown. In this longitudinal population-based study, we sought to determine exposure to LDIR-related cardiac imaging and therapeutic procedures in children and adults with CHD. METHODS AND RESULTS: In an analysis of the Quebec CHD database, exposure to the following LDIR-related cardiac procedures was recorded: catheter-based diagnostic procedures, structural heart interventions, coronary interventions, computed tomography scans of the chest, nuclear procedures, and pacemaker/implantable cardioverter-defibrillator insertion and repair. From 1990 to 2005, there were 16 253 LDIR-exposed patients with CHD with 317 988 patient-years of available follow-up. The total number of LDIR-related procedures increased from 18.5 to 51.9 per 1000 CHD patients per year (P<0.0001). This increase was attributable to increases in rates per 1000 CHD patients in diagnostic cardiac catheterizations (11.7 to 13.7 per 1000), structural heart interventions (1.0 to 5.2 per 1000), coronary interventions (1.0 to 2.4 per 1000), pacemaker/implantable cardioverter-defibrillator insertions (1.6 to 4.4 per 1000), nuclear procedures (4.2 to 13.8 per 1000), and computed tomography scans of the chest (2.5 to 12.3 per 1000). Over time, among children with CHD, the median age at first LDIR procedure decreased from 5.0 years to 9.6 months. Severity of CHD significantly predicted extent of exposure. CONCLUSIONS: From 1990 to 2005, patients with CHD were exposed to increasing numbers of LDIR-emitting cardiac procedures. This exposure occurred at progressively younger ages. These findings provide an important perspective on longitudinal LDIR exposure in this at-risk population.
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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".