IgA and IgM-enriched Immunoglobulins in Primary Immunodeficiencies: a Pilot Study
Bibliographic record
Abstract
Despite well-conducted replacement therapy with polyvalent immunoglobulins (IgRT), some patients with primary immunodeficiencies (PID) continue to experience recurrent or chronic infections. IgA and IgM, essential for mucosal and complement-mediated immunity, are absent or minimal in standard immunoglobulin products. The aim of this study is to evaluate the safety and clinical evolution profiles in PID patients with undetectable IgA/IgM levels and persistent infections despite standard IgRT, after introduction of an IgA- and IgM-enriched immunoglobulin preparation (IgGAM, Pentaglobin ® ). A compassionate use program (CUP) in France enrolled 20 PID patients with undetectable IgA/IgM levels, receiving IgGAM IV infusions every 7–14 days. Tolerance, infection frequency, hospitalizations, and biological markers (Ig levels, complement activation, salivary IgA) were analyzed prospectively. Twenty patients were included in the CUP at the time of analysis. No severe adverse event was reported. Half of the patients experienced mild to moderate hypersensitivity symptoms. Mean antibiotic courses dropped from 5.4 to 2.3/year ( p = 0.0009) and mean number of hospitalizations decreased from 2.6 to 1.2/year ( p = 0.01). Median serum IgA and IgM levels increased three months after IgGAM start. IgM and low levels of IgA were detected in saliva samples, suggesting at least a transient transfer of IgA/IgM from IgGAM into mucosal fluids. In patients with severe PID and undetectable IgA/IgM, IgGAM was associated with reduced infections and hospitalizations. Controlled studies are needed to confirm the benefit of IgA/M enriched immunoglobulin preparations in PID patients with persistent and/or recurrent respiratory or digestive infections.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".