Confounding Issues in Estimation of Patient-Specific Pharmacokinetic Parameters and Dosage Individualization of Aminoglycosides

被引:2
|
作者
Mehvar, Reza [1 ]
机构
[1] Texas Tech Univ, Sch Pharm, Dept Pharmaceut Sci, Hlth Sci Ctr, Amarillo, TX 79106 USA
来源
CURRENT CLINICAL PHARMACOLOGY | 2012年 / 7卷 / 01期
关键词
Aminoglycoside dosing; clearance; clinical pharmacokinetics; elimination rate constant; intermittent intravenous infusion; patient-specific pharmacokinetics; peak and trough; volume of distribution;
D O I
10.2174/157488412799218833
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Aminoglycoside antibiotics are usually administered by multiple short intravenous infusions at fixed intervals. Today, equations reported 35 years ago by Sawchuk and Zaske are still the cornerstone of methods used for determination of patient-specific pharmacokinetic parameters of aminoglycosides and individualization of drug dosage regimens in many clinical settings. Additionally, these methods are included in many clinical pharmacology curricula in pharmacy and other related fields. However, there are a few issues with regard to the application and/or modification of this method in clinical settings, which may result in some confusion among novice clinicians. For example, serum samples collected from different intervals at steady state, instead of samples obtained during the same interval, require special manipulation of sampling time before they can be used for estimation of pharmacokinetic parameters. Furthermore, there are various ways that the original equations are modified or simplified, which can result in some degree of error in the estimates of pharmacokinetic parameters and ensuing dosage regimen calculations. Simulation data presented here indicate that in some cases, these errors may be substantial, depending on the length of short infusion, half life of the drug, and the dosage interval. For instance, using equations developed for intravenous bolus mode of administration, ignoring the short infusion, may result in >= 25% error for a typical patient and dosing scenario. Although experts may use modified equations, understanding their error ramifications, these modifications may be confusing to the novice clinician. Therefore, it is recommended that exact equations developed specifically for multiple intravenous infusions be used without any modification, particularly in settings where clinicians are being trained.
引用
收藏
页码:28 / 35
页数:8
相关论文
共 50 条
  • [41] From patient-informed to patient-specific organ dose estimation in clinical computed tomography
    Fu, Wanyi
    Segars, William P.
    Abadi, Ehsan
    Sharma, Shobhit
    Kapadia, Anuj J.
    Samei, Ehsan
    MEDICAL IMAGING 2018: PHYSICS OF MEDICAL IMAGING, 2018, 10573
  • [42] INFERRING PATIENT-SPECIFIC PHYSIOLOGICAL PARAMETERS FROM INTRACRANIAL EEG: THEORETICAL STUDIES
    Freestone, D. R.
    Grayden, D. B.
    Cook, M.
    Nesic, D.
    EPILEPSIA, 2012, 53 : 201 - 201
  • [43] Patient-Specific Parameters Associated With Traction in Primary and Revision Hip Arthroscopic Surgery
    Kapron, Ashley L.
    Karns, Michael R.
    Aoki, Stephen K.
    Adeyemi, Temitope F.
    Baillargeon, Elizabeth A.
    Hartley, Melissa K.
    Todd, Jocelyn N.
    Maak, Travis G.
    ORTHOPAEDIC JOURNAL OF SPORTS MEDICINE, 2018, 6 (11):
  • [44] Optimization of surgical parameters based on patient-specific models: Application to arcuate keratotomy
    Truffer, Oskar
    Abler, Daniel
    Pajic, Bojan
    Grabner, Guenther
    Kraker, Hannes
    Buechler, Philippe
    JOURNAL OF CATARACT AND REFRACTIVE SURGERY, 2019, 45 (08): : 1084 - 1091
  • [45] Rapid estimation of patient-specific organ doses using a deep learning network
    Myronakis, Marios
    Stratakis, John
    Damilakis, John
    MEDICAL PHYSICS, 2023, 50 (11) : 7236 - 7244
  • [46] Dose reconstruction for real-time patient-specific dose estimation in CT
    De Man, Bruno
    Wu, Mingye
    FitzGerald, Paul
    Kalra, Mannudeep
    Yin, Zhye
    MEDICAL PHYSICS, 2015, 42 (05) : 2740 - 2751
  • [47] Multiobjective Patient-Specific Estimation of a Coronary Circulation Model for Triple Vessel Disease
    Ojeda, David
    Le Rolle, Virginie
    Drochon, Agnes
    Harmouche, Majid
    Corbineau, Herve
    Verhoye, Jean-Phillipe
    Hernandez, Alfredo I.
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 3877 - 3880
  • [48] An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation
    Xi, Jiahe
    Lamata, Pablo
    Shi, Wenzhe
    Niederer, Steven
    Land, Sander
    Rueckert, Daniel
    Duckett, Simon G.
    Shetty, Anoop K.
    Rinaldi, C. Aldo
    Razavi, Reza
    Smith, Nic
    FUNCTIONAL IMAGING AND MODELING OF THE HEART, 2011, 6666 : 392 - 400
  • [49] Challenges in Contemporary Spine Surgery: A Comprehensive Review of Surgical, Technological, and Patient-Specific Issues
    Mensah, Emmanuel O.
    Chalif, Joshua I.
    Baker, Jessica G.
    Chalif, Eric
    Biundo, Jason
    Groff, Michael W.
    JOURNAL OF CLINICAL MEDICINE, 2024, 13 (18)
  • [50] Automated Patient-Specific seizure detection system with Self-Parameters adaptation
    Ammar S.
    Trigui O.
    Senouci M.
    1600, Acta Press, Building B6, Suite 101, 2509 Dieppe Avenue S.W., Calgary, AB, T3E 7J9, Canada (45): : 181 - 191