Antineutrophil Cytoplasm Antibody–Associated Vasculitides Valvular Impairment: Multicenter Retrospective Study and Systematic Review of the Literature
Bibliographic record
Abstract
OBJECTIVE: While myocardial impairment is a predictor of poor prognosis in antineutrophil cytoplasm antibody (ANCA)-associated vasculitides (AAV), little is known about valvular involvement. This study aims at describing the clinical presentation, management, and outcome of endocarditis associated with AAV. METHODS: We conducted a multicenter retrospective study in centers affiliated with the French Vasculitis Study Group. We included patients with granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), or eosinophilic GPA with endocardial impairment. A systematic review was then performed through PubMed, Embase, and Cochrane Library from inception up to September 2020. RESULTS: The retrospective cohort included 9 patients (82%) with GPA, 1 (9%) with MPA, and 1 (9%) with unclassified AAV. Clinical presentation included acute valvular insufficiency (n = 7, 64%), cardiac failure (n = 3, 27%), dyspnea (n = 3, 27%), and no symptoms (n = 2, 18%). The aortic valve was the most frequently affected (n = 8/10, 80%), and vegetations were noted in 4 of 10 patients (40%). Six patients (55%) underwent surgical valvular replacement. No death from endocarditis was reported. The systematic review retrieved 42 patients from 40 references: 30 (71%) had GPA, 21 (50%) presented with vegetations, the aortic valve (n = 26, 62%) was the most frequently involved. Valvular replacement was required in 20 cases (48%) and 5 patients (13%) died from the endocarditic impairment. CONCLUSION: Endocarditis is a rare and potentially life-threatening manifestation of AAV. Acute valvular insufficiency may lead to urgent surgery. Implementing transthoracic echocardiography in standard assessment at baseline and follow-up of AAV might reduce the delay to diagnosis and allow earlier immunosuppressive treatment before surgery is needed.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.019 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".