Clinical Features of Chronic Inflammatory Demyelinating Polyneuropathy With Autoimmune Hepatitis
Bibliographic record
Abstract
Chronic inflammatory demyelinating polyneuropathy (CIDP) with autoimmune hepatitis is rare in clinical practice. Here we present a case to describe the relevant clinical features and provide case data for the diagnosis and treatment of the disease. The diagnosis was supported by medical history, physical examination, laboratory and imaging examination, nerve conduction velocity and cerebrospinal fluid examination. The combined disease was identified by autoimmune antibodies and ultrasonography. Combined with the patient’s history of chronic progression, clinical manifestations of peripheral nerve damage, cerebrospinal fluid showing protein-cell separation and nerve conduction velocity showing decreased amplitude and conduction velocity, CIDP was confirmed. Combined with the patient’s examination result of abdominal bulging, color Doppler ultrasound examination showed cirrhosis, positive (+) anti-liver/kidney microsomal type 1 antibody (anti-LKM-1), considering combination of autoimmune hepatitis type II (AIH-II). The clinical symptoms of both were significantly improved by hormone therapy. CIDP is clinically uncommon in elderly male patients, and it is also rare to have AIH-II. But according to the typical pathogenesis, clinical manifestations, detailed physical examination, laboratory and imaging examination, and neuro-immunological data, clinical diagnosis can be made. Pathological data are needed to confirm the diagnosis. Both have poor natural prognosis. However, the use of hormone therapy according to its pathogenesis can effectively alleviate clinical symptoms and prevent progression. J Neurol Res. 2020;10(1):25-29 doi: https://doi.org/10.14740/jnr542
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".