Abdominal Aortic Aneurysms Following Orthotopic Heart Transplantation
Bibliographic record
Abstract
The purpose of these authors' study was to analyze their center's experience with orthotopic heart transplantation (OHT) and abdominal aortic aneurysms (AAA) with particular attention to corticosteroid dosing, hemodynamic parameters, and aneurysm growth rate. A retrospective review of all patients (453) who underwent OHT at their university-affiliated medical center over an 18-year period (1981-1999) was undertaken. Nine (2%) patients who developed AAAs were identified and aneurysm growth was correlated with corticosteroid immunosuppression and hemodynamic parameters. The mean age of OHT patients was 44.5 +/-15 years and the majority were males (371 males, 82%). Median follow-up was 5.7 years. Ischemic cardiomyopathy (IC) was the most common indication for transplantation (45.5% of patients). All AAA patients were male (p=0.157), with a mean age of 58.4 +/-4.8 years (p=0.001), and had undergone OHT for IC (p=0.001). Mean arterial blood pressure and ejection fraction in the AAA patients had increased from pretransplant values of 107 mm Hg and 14.3 +/-5.7% to 142 mm Hg (p=0.017) and 54.1 +/-14.1% (p<0.001), respectively, before aneurysm repair. Mean aneurysm diameter at the time of repair was 6.0 +/-0.8 cm, and the average growth rate was 1.2 +/-0.4 cm/year in the 4 patients in whom it could be measured. Aneurysm repair was performed urgently in 2 patients and electively in 7 patients with 1 early postoperative death (11%). The extent of corticosteroid immunosuppression, corticosteroid pulses, and total corticosteroid dosing did not correlate with the rate of aneurysm growth. Improved hemodynamics and progressive posttransplant hypertension may contribute to aneurysm formation and growth in this group of patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".