Desmopressin dosing in children using real-world data and pharmacokinetic/pharmacodynamic model simulations

被引:0
|
作者
Yen, Kevin [1 ]
Hughes, Emma [2 ]
Savic, Rada [2 ]
Srinivasan, Shylaja [1 ]
机构
[1] Univ Calif San Francisco, Dept Pediat, Div Pediat Endocrinol & Diabet, San Francisco, CA 94115 USA
[2] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94143 USA
关键词
CENTRAL DIABETES-INSIPIDUS; MANAGEMENT;
D O I
10.1038/s41390-024-03642-1
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Background: Variability in pediatric dosing of desmopressin (ddAVP) in AVP-deficiency (AVP-D) is well-documented but dosing recommendations are limited. This study evaluates and optimizes ddAVP dosing regimens in children with AVP-D using pharmacokinetic and pharmacodynamic (PK/PD) simulations. Methods: Retrospective electronic health record review was done to identify children (<18 years) with AVP-D on ddAVP evaluated in the outpatient setting using ICD 9 and 10 codes. A previously developed PK/PD model from Michelet et al was used to simulate ddAVP concentrations and urine rates based on a child's age and ddAVP dose. The effects of demographic characteristics (age, weight, etc.) on dose and urine rate were investigated through simulations to optimize doses of ddAVP for children who were wet overnight. Result: A total of 276 dosing records were identified among 53 children with AVP-D. Simulations indicated that in children under 5 years of age who were wet overnight, increasing the outpatient dose to 50 mcg was predicted to decrease urine rate to a pattern similar to those who remained dry. Conclusion: An initial outpatient dose of at least 50 mcg for children between 1 and 5 years of age would improve efficacy of ddAVP.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Population pharmacokinetics and dosing optimization of perampanel in children with epilepsy: A real-world study
    Li, Sichan
    Yi, Jiaqin
    Tuo, Yali
    Nie, Gang
    Wang, Jun
    Wang, Yang
    Sun, Dan
    Liu, Zhisheng
    EPILEPSIA, 2024, 65 (06) : 1687 - 1697
  • [32] Consensus Statement on the Outcome of a Workshop on Paediatric Phytotherapy: Rationalising Optimal Dosing for Use in Children by Real-World Data
    Hensel, Andreas
    Bauer, Rudolf
    Heinrich, Michael
    Kraft, Karin
    PLANTA MEDICA, 2023, 89 (15) : 1442 - 1443
  • [33] A verifiable simulation model for real-world microscopic traffic simulations
    Bruegmann, J.
    Schreckenberg, M.
    Luther, W.
    SIMULATION MODELLING PRACTICE AND THEORY, 2014, 48 : 58 - 92
  • [34] Real-World Dosing Characteristics of Parenteral Treprostinil
    Balasubramanian, V.
    Melendres-Groves, L.
    Safdar, Z.
    Broderick, M.
    Sketch, M.
    Chen, L.
    Nelsen, A.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199
  • [35] Drug repurposing using real-world data
    Tan, George S. Q.
    Sloan, Erica K.
    Lambert, Pete
    Kirkpatrick, Carl M. J.
    Ilomaki, Jenni
    DRUG DISCOVERY TODAY, 2023, 28 (01) : 10 - 13
  • [36] REAL-WORLD DATA
    STROCK, JM
    POLICY REVIEW, 1993, 63 : 96 - 96
  • [37] Using real-world data for coverage and payment decisions: The ISPOR real-world data task force report
    Garrison, Louis P., Jr.
    Neumann, Peter J.
    Erickson, Pennifer
    Marshall, Deborah
    Mullins, Daniel
    VALUE IN HEALTH, 2007, 10 (05) : 326 - 335
  • [38] Model Based Estimation of Posaconazole Tablet and Suspension Bioavailability in Hospitalized Children Using Real-World Therapeutic Drug Monitoring Data in Patients Receiving Intravenous and Oral Dosing
    Kane, Zoe
    Cheng, Iek
    McGarrity, Orlagh
    Chiesa, Robert
    Klein, Nigel
    Cortina-Borja, Mario
    Standing, Joseph F. F.
    Gastine, Silke
    ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, 2023, 67 (07)
  • [39] Data Science Methods for Real-World Evidence Generation in Real-World Data
    Liu, Fang
    ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, 2024, 7 : 201 - 224
  • [40] Strategies to Turn Real-world Data Into Real-world Knowledge
    Hong, Julian C.
    JAMA NETWORK OPEN, 2021, 4 (10)