Adjunctive High-dose Intravenous Immunoglobulin Treatment for Resistant Atopic Dermatitis: Efficacy and Effects on Intracellular Cytokine Levels and CD4 Counts
Bibliographic record
Abstract
Although atopic dermatitis generally responds to topical therapy, small numbers of patients have severe resistant disease despite second-line therapies. High-dose intravenous immunoglobulin has been suggested to be of benefit in a small number of reports. We have conducted an open, single-centre study of adjunctive high-dose intravenous immunoglobulin (Flebogamma 5%). Six patients received treatment at 2 g kg(-1) month(-1) for 6 cycles, with a 3-month follow-up period. Skin scores, lymphocyte phenotypes and intracellular cytokine analysis were performed. Four of six patients had major improvements in skin scores and the overall reduction was significant (p = 0.035). CD4+ T-cell numbers fell following high-dose intravenous immunoglobulin infusions, recovering by the next cycle. T-cell CD69 expression decreased to 60% of baseline values. Reductions in the proinflammatory cytokines IFN-gamma and TNF-alpha were non-significant. Adjunctive high-dose intravenous immunoglobulin may be a useful therapeutic approach in adults with severe treatment-resistant atopic dermatitis, but it will require further assessment in randomized controlled trials to establish this.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".