Pharmacokinetics of Intravenous Immunoglobulin: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Intravenous immunoglobulin (IGIV) is used in the treatment of a wide variety of immune disorders. To our knowledge, no comprehensive or systematic review on the pharmacokinetics of IGIV has been published despite the availability of many published individual studies. OBJECTIVE: To systematically review published studies of the pharmacokinetics of IGIV. METHODOLOGY: We conducted a search of PubMed/MEDLINE from January 1966-September 2005 and EMBASE from January 1980-September 2005 for English-language articles on the pharmacokinetics of IGIV. This search was supplemented by a bibliographic review of all relevant articles. RESULTS: Data elements extracted from these articles included study design, number of study subjects, indication for IGIV therapy, IGIV treatment regimen (formulation, dosage, and duration), pharmacokinetic parameters (clearance, volume of distribution, elimination rate constant, and half-life), analytic methodology, pharmacokinetic model, and blood sampling times. The United States Preventive Services Task Force rating scale was used to categorize the 50 pertinent citations identified in our literature search. According to the rating scale, 12 studies were level I (prospective, randomized, controlled studies), 3 were level II-1 (prospective, nonrandomized, controlled studies), 30 were level II-2 (prospective, nonrandomized, uncontrolled [cohort] studies), and 5 were level III (case reports or descriptive studies). CONCLUSION: The pharmacokinetics of IGIV shows considerable intra- and interpopulation variability among patients with normal immunoglobulin levels, patients with primary immunodeficiency diseases, bone marrow transplant recipients, patients with immune deficiency due to chronic lymphocytic leukemia or multiple myeloma, very low birth weight neonates, neonates with suspected sepsis, high-risk infants in the neonatal intensive care unit, high-risk infants with cardiopulmonary disease, children with cryptogenic West or Lennox-Gastaut syndrome, women and infants with fetal alloimmune thrombocytopenia, and women with recurrent spontaneous abortions. Despite the large number of studies characterizing the pharmacokinetics of IGIV, major literature gaps include lack of information on IGIV clearance or area under the curve parameters and target serum immunoglobulin G concentrations. Further study is needed to rigorously characterize the pharmacokinetic properties of IGIV in a range of patient populations.
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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 | 0.008 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".