A Prospective, Two-Phase Study of Intravenous Immunoglobulin (IVIG) in Hypogammaglobulinemia: Pharmacokinetic Characterization and a Dosing Nomogram
Bibliographic record
Abstract
ABSTRACT Background: Shortages of IV immunoglobulin (IVIG) and other blood products are a concern. Individualized IVIG dosing is needed to ensure optimal patient outcomes and to minimize wasting of IVIG. Objective: To characterize IVIG pharmacokinetics in patients with primary hypogammaglobulinemia and to apply this information in testing the validity of a dosing nomogram. Methods: In phase I of the study, the pharmacokinetics of IVIG were determined by obtaining blood from 15 patients for testing of serum immunoglobulin G (IgG) concentration 30 min before an IVIG dose and 30 min and 1, 2, 3, and 4 weeks after. In phase II of the study, steady-state trough serum IgG concentration was measured for 16 patients, and individualized doses were determined according to a nomogram designed to target a serum IgG concentration of 7 g/L. Serum IgG concentrations were determined before each of 6 infusions of IVIG, and the IVIG dose was adjusted if necessary. A health-related questionnaire was completed by each patient. Results: The decline in serum IVIG concentrations was monoexponential (displaying first-order pharmacokinetics). In phase II, the IVIG dose was decreased for 7 patients and increased for 1 patient on the basis of the nomogram. There was a significant relationship between predicted and actual trough serum IgG concentrations (r 2 = 0.656, p Conclusions: The sampling strategy used in this study indicated that IVIG elimination follows first-order pharmacokinetic principles. A nomogram derived from these pharmacokinetic data can be used to individualize IVIG dosing. RESUME Historique : Les penuries d’immunoglobuline pour administration intraveineuse (IGIV) et d’autres produits du sang soulevent des inquietudes. Il est essentiel d’individualiser les posologies d’IGIV pour optimiser l’evolution de l’etat de sante des patients et pour reduire au minimum le gaspillage d’IGIV. Objectif : Caracteriser la pharmacocinetique de l’IGIV chez les patients presentant une hypogammaglobulinemie primaire et utiliser les renseignements obtenus pour tester la validite d’un nomogramme posologique. Methodes : Au cours de la phase I de l’etude, on a determine la pharmacocinetique de l’IGIV chez 15 patients en evaluant les concentrations plasmatiques d’immunoglobuline G (IgG) a partir d’echantillons de sang obtenus 30 minutes avant puis 30 minutes et 1, 2, 3 et 4 semaines apres l’administration de la dose d’IGIV. Au cours de la phase II de l’etude, on a mesure la concentration plasmatique minimale de l’IgG a l’etat d’equilibre chez 16 patients, puis determine la posologie individuelle selon un nomogramme concu pour atteindre une concentration plasmatique d’IgG de 7 g/L. Les concentrations plasmatiques d’IgG ont ete mesurees avant chacune des six perfusions d’IGIV, et la dose d’IGIV a ete ajustee, au besoin. Chaque patient a rempli un questionnaire lie a la sante. Resultats : La diminution des concentrations plasmatiques d’IGIV etait monoexponentielle (suivant une cinetique de premier ordre). Dans la phase II, la dose d’IGIV a ete reduite chez 7 patients et augmentee chez 1 patient, d’apres le nomogramme. On a observe une relation significative entre les concentrations plasmatiques minimales d’IgG prevues et reelles (r 2 = 0,656, p Conclusion : La strategie d’echantillonnage utilisee dans cette etude montre que l’elimination de l’IGIV suit les principes de cinetique de premier ordre. Un nomogramme derive de ces donnees pharmacocinetiques peut etre utilise pour individualiser la posologie de l’IGIV.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".