MG-114 First 2 years of experience of an integrated multidisciplinary clinic for adults with aortopathies in a canadian context
Bibliographic record
Abstract
Background In 2012, the Montreal Heart Institute started an integrated multidisciplinary clinic for adults referred for suspicion of Marfan syndrome or other connective tissue disorders at risk of aortic disease. A heart team (cardiologist specialised in adult congenital heart disease, heart surgeons specialised in aortic surgery) and a genetics team (medical geneticist, genetic counsellor) work side-by-side. Both teams see patients with a family history of aortic disease or systemic features of Marfan syndrome. The heart team sees patients with presumed isolated aortic disease and determines if evaluation by the genetics team is needed. Objective Assess first two years of clinic activities. Methods Review of clinic database and patient charts for period between May 2012 and May 2014. Results 183 new patients were assessed, from 146 different families. Reasons for referral included suspicion of Marfan (72), Loeys-Dietz (15), or Ehlers-Danlos syndrome (8); TAAD (56); and sudden death in the family (6). All were seen by the heart team; 70 were seen by the geneticist for a dysmorphological exam. All had dedicated cardiovascular imaging in our centre. Genetic tests were ordered for 35 patients. Close links with the paediatric and prenatal genetic clinics have facilitated efficient cross-referrals: we referred eight children of our adult patients. Most importantly, we rapidly assessed three pregnant women at risk of aortic disease and eight affected parents (identified through their child) who had no active follow-up. Conclusions Our integrated multidisciplinary approach results in efficient access to specialised cardiac and genetic assessments and rapid management when required.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".