Characteristics and Outcomes of Coronary Artery Involvement in Polyarteritis Nodosa
Bibliographic record
Abstract
BACKGROUND: Coronary artery involvement is a severe but uncommon manifestation of polyarteritis nodosa (PAN), so clinicians have little knowledge of it. Our aim was to investigate the clinical characteristics, risk factors and outcomes of patients with PAN complicated with coronary artery lesions. METHODS: Data from 145 patients with PAN who were admitted to Peking Union Medical College Hospital from January 2000 to September 2019 were retrospectively collected. RESULTS: Nineteen patients (13.1%) had coronary artery lesions due to PAN. The age at the onset of PAN was 32.3 ± 11.8 years. There were no significant differences in common risk factors for coronary arterial atherosclerosis between the patients with coronary artery involvement and those without. Affected branches of the coronary arteries were left anterior descending branch (15 patients), right coronary artery (14 patients), and left circumflex branch (9 patients). Eleven of the 19 patients exhibited multivessel lesions. Multivariate logistic regression analysis showed that celiac artery involvement (odds ratio [OR] 3.722, 95% confidence interval [CI] 1.115-12.427; P = 0.033) and new-onset hypertension (OR 6.668, 95% CI 1.936-22.961; P = 0.003) were risk factors for coronary artery involvement in patients with PAN. Stent placement was performed for 2 patients, and in-stent restenosis occurred in 1 of those patients a year later. CONCLUSIONS: PAN with coronary artery involvement exhibits more combined involvement of arteries of other organs and more severe diseases. PAN should be considered when treating young adults with an unknown origin of coronary artery lesions. In addition to systemic immunosuppressive treatment, other measures including antiplatelet and anticoagulation therapy should be initiated; however, determining the optimal time to perform procedures such as intervention or surgery is still challenging.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".