Outcomes Among 196 Patients With Noninfectious Proximal Aortitis
Bibliographic record
Abstract
OBJECTIVE: Noninfectious aortitis may occur in the context of a recognized systemic disease or as a topographically limited lesion without systemic features, which is called clinically isolated aortitis (CIA). This study was undertaken to better define and stress the limitations of this diagnostic category in a large population of patients in a single center dedicated to aortic diseases and to suggest recommendations for care. METHODS: Records of patients undergoing thoracic aortic surgery (1996-2012) at the Cleveland Clinic were reviewed to identify 196 patients with histopathologically proven aortitis. Clinical diagnoses (giant cell arteritis [GCA], Takayasu arteritis [TAK], CIA, or Other) were determined at the time of surgery. Clinical features, laboratory findings, and imaging results were recorded throughout the follow-up period. At least 6 months of follow-up data were available for 73 CIA patients. RESULTS: The mean age of the patients at time of surgery was 65.6 years (range 15-88 years); 67% of patients were female, and 90.3% were white. At the time of surgery, 129 patients (65.8%) met criteria for CIA, 42 (21.4%) for GCA, 14 (7.1%) for TAK, and 11 (5.6%) met criteria for other systemic inflammatory diseases. During a mean follow-up period of 56.2 months, 19% of CIA patients developed new symptoms, 45% developed new radiographic vascular lesions, 40% underwent additional vascular surgery, and 12% died (n = 9). Eleven of 73 patients (15%) initially classified as having CIA developed features of a systemic disease, most often GCA. CONCLUSION: The majority of patients (66%) with histopathologically proven aortitis have CIA at the time of surgery. CIA patients infrequently report new symptoms over time, but new vascular lesions requiring surgery commonly occur. Serial follow-up including large vessel imaging is strongly advised for all aortitis patients.
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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) | 0.001 | 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) | 0.002 | 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; both teacher heads agree on what is shown here.
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".