COVID‐19 Disease in Patients With Recurrent Pericarditis During Treatment With Anakinra: Comment on the Article by Navarro‐Millán et al
Bibliographic record
Abstract
To the Editor: We read with interest the article by Dr. Navarro-Millán and colleagues about the use of anakinra to prevent mechanical ventilation in patients with COVID-19 (1). However, it is also important to consider patients who develop COVID-19 while being treated with anakinra for their underlying condition (2). We describe 5 patients, median age 43 years, with recurrent pericarditis (post-pericardiotomy in 1 case; idiopathic pericarditis in 4 cases) who developed COVID-19 disease during treatment with anakinra. Median duration of recurrent pericarditis was 48 months. All patients were being treated with anakinra when COVID-19 disease occurred, after having initially received treatment with glucocorticoids and/or nonsteroidal antiinflammatory drugs (including colchicine) (Table 1). The patients developed COVID-19 disease between March 2020 and October 2020. Symptoms, usually mild, included fever, cough, ageusia, anosmia, headache, diarrhea, dyspnea, and chest pain (Table 1). SARS–CoV-2 was diagnosed by nasopharyngeal swab in 4 patients, and by serologic test in 1 patient, after symptoms began. Two patients went to the emergency room; in one case, chest radiograph showed a small lung infiltrate, but neither of the patients required hospitalization. Treatment with anakinra was continued unchanged, and 3 patients received additional therapies after the development of COVID-19 disease (Table 1). All patients recovered completely within 15 days and had no recurrence of pericarditis. Polytherapy is often necessary in patients with recurrent pericarditis and treatment with an interleukin-1 receptor antagonist may lead to resolution of symptoms (3); however, a concern may be raised that biologic therapy could aggravate the clinical course of COVID-19. Our small case series shows that anakinra therapy in patients with recurrent pericarditis may be associated with a benign clinical course. We propose that there is no reason to discontinue anakinra therapy if a patient with recurrent pericarditis develops COVID-19 disease (4-7). Our recommendation is consistent with the findings obtained in the study by Dr. Navarro-Millán et al (1). Dr. Brucato has received research support from Sobi and Acarpia. Dr. Imazio has received consulting fees or honoraria from Kiniksa and Sobi (less than $10,000 each).
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".