An atypical presentation of Kikuchi-Fujimoto disease mimicking systemic lupus erythematosus: case report and literature review
Bibliographic record
Abstract
Purpose: To report a case of atypical Kikuchi-Fujimoto disease (KFD) that illustrates several overlapping features with systemic lupus erythematosus (SLE). Methods: A case is reported followed by a review of the current literature. Case report: A 16-year-old boy with an unusual manifestation of Kikuchi-Fujimoto disease (KFD) is described. The patient presented with fever, weight loss and severe abdominal pain, due to extensive necrotizing retroperitoneal and mesenteric lymphadenopathy. During the course of his illness, he developed several symptoms suggestive of systemic lupus erythematosus (SLE): a pericardial effusion, cotton wool spots on the retina and antibodies against nuclear antigens (ANA), Smith (Sm) and ribonucleoprotein (RNP) antigens. However, no additional features of SLE were found. The patient subsequently fully recovered within two months, without initiation of immunosuppressive therapy. His autoantibodies became negative five months after initial presentation and he remains well at his 23 month follow up visit. Discussion: We hypothesize that the autoantibodies developed by our patient were secondary to self-antigen induced autoimmunity related to his extensive tissue necrosis. Despite initially having clinical features suggestive of SLE, our patient’s full and spontaneous recovery strongly supports the diagnosis of KFD. This illustrates the need for careful diagnosis, in order to avoid unnecessary and potentially toxic treatment with immunosuppressive agents.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".