Treatment with Hizentra in patients with primary and secondary immunodeficiencies: a real-life, non-interventional trial
Bibliographic record
Abstract
BACKGROUND: Although Hizentra is indicated for immunoglobulin replacement therapy in patients with primary and secondary immunodeficiencies, phase III trials have focused on patients with primary immunodeficiencies. In this 9-month, real-life, prospective, non-interventional, longitudinal, multicenter study of patients with primary and secondary immunodeficiencies in France, treatment modalities (primary endpoint), efficacy, safety, tolerability, quality of life, and treatment satisfaction were evaluated using descriptive statistics. RESULTS: Starting in January 2012, 117 patients were enrolled (99 adults, 18 children). Secondary immunodeficiencies were present in 48.7 % of patients. At follow-up, injections were administered every 7 days in 92.2 % of patients. Nine patients (7.8 %) were taking Hizentra every 10-14 days. The median dose of Hizentra administered was 0.1 g/kg/injection. Fifty-six patients were administered doses <0.1 g/kg/injection and 13 patients were administered doses >0.2 g/kg/injection. Mean trough IgG titers were 9.0 ± 3.3 g/L (median 8.3 g/L). The mean yearly rate of infection was 1.2 ± 1.9. Mean scores on the Short Form-36 physical and mental component summaries were 46.3 ± 10.0 and 46.6 ± 9.3, respectively. Scores on the Treatment Satisfaction Questionnaire for Medication ranged from 69.9 ± 19.9 to 88.3 ± 21.2 depending on the domain. Treatment with Hizentra was well tolerated. No single drug-related systemic reaction occurred in more than one patient and few local reactions were reported (n = 5). CONCLUSIONS: Under real-life conditions and in a cohort that included patients with primary and secondary immunodeficiencies, treatment with Hizentra was effective and well tolerated and patients were generally satisfied with the treatment.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".