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Limited Sampling Strategies for the Estimation of Raltegravir Daily Exposure in HIV‐Infected Patients
Author(s) -
Cattaneo Dario,
Ripamonti Diego,
Gervasoni Cristina,
Landonio Simona,
Meraviglia Paola,
Baldelli Sara,
Cozzi Valeria,
Fucile Serena,
Clementi Emilio
Publication year - 2012
Publication title -
the journal of clinical pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 116
eISSN - 1552-4604
pISSN - 0091-2700
DOI - 10.1177/0091270010395939
Subject(s) - raltegravir , sampling (signal processing) , pharmacokinetics , statistics , medicine , human immunodeficiency virus (hiv) , therapeutic drug monitoring , drug , area under the curve , stepwise regression , pharmacology , antiretroviral therapy , mathematics , viral load , computer science , virology , filter (signal processing) , computer vision
Stepwise multiple regression analyses were applied to 50 raltegravir pharmacokinetic profiles from 50 HIV patients with the goal to identify limited sampling strategies for the prediction of drug area under the time—concentration curve (AUC 0–12 ). Raltegravir single sampling point‐based equations failed to reliably predict daily drug exposure. Conversely, different algorithms based on few samples and associated with good correlation, acceptable bias, and imprecision with the measured raltegravir AUC 0–12 were identified. These models could used to predict raltegravir exposure for clinic or research purposes.