Dupilumab-induced Eosinophilic Granulomatosis with Polyangiitis Complicated by Peripheral Neuropathic Pain: a Case Report and Literature Review
Bibliographic record
Abstract
PURPOSE: Eosinophilic Granulomatosis with Polyangiitis (EGPA) is a rare vasculitis characterized by increased eosinophils in human tissues and peripheral blood. In this case, we present a 53-year-old female patient with EGPA. By this case and literature review, we want to explain the early manifestations, diagnosis, and management of EGPA, which will help clinicians to understand the disease and attach importance to the possibility of dupilumab-induced EGPA, to improve the early diagnosis rate of EGPA, and reduce misdiagnosis and missed diagnosis. METHODS: The diagnostic criteria for EGPA established by the American Rheumatology Association (ACR) in 2022 were used; these criteria encompass clinical presentation, laboratory tests, and pathological biopsy. In addition, we conducted a comprehensive literature review on this case. RESULT: We present a 53-year-old female patient who developed severe peripheral neuropathic pain after the administration of dupilumab for the treatment of refractory asthma and sinusitis. The patient's symptoms, laboratory examination findings, and nasopharyngeal biopsy pathology results collectively support the diagnosis of EGPA. When dupilumab was converted to mepolizumab combined with glucocorticoid, her peripheral neuropathic pain and asthma symptoms were dramatically relieved. Our literature review also provides a detailed discussion on the relationship between Dupilumab and EGPA. CONCLUSION: We present a case of EGPA with peripheral neuropathic pain induced by Dupilumab, and mepolizumab has a good therapeutic effect on this patient. Our literature review shows that although dupilumab is effective in treating eosinophilic airway inflammatory diseases, clinicians must pay attention to the possibility of dupilumab inducing or aggravating EGPAs.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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".