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Expert Rev Clin Pharmacol. 2017 Jul;10(7):737-752. doi: 10.1080/17512433.2017.1323632. Epub 2017 May 22.

Guidance to develop individual dose recommendations for patients on chronic hemodialysis.

Author information

1
a Pediatric pharmacology and pharmacometrics , University of Basel Children's Hospital, UKBB , Basel , Switzerland.
2
b Division of Clinical Pharmacology, Biomedicine, Department of Laboratories , CHUV , Lausanne , Switzerland.
3
c Division of Clinical Pharmacology and Toxicology , University Hospitals of Geneva , Geneva , Switzerland.

Abstract

In addition to tailored clinical trials in patients on chronic hemodialysis (HD) during drug development, clinician-initiated post-marketing studies and case reports on individual pharmacokinetic (PK) assessments provide an important source of information about drug dialysability and individualized dose recommendations in this vulnerable population. Areas covered: First, factors that may alter drug exposure in HD patients are explained. Second, available regulatory and methodological guidelines for PK assessments in this population are summarized. Third, a 4-step approach is proposed to develop individual dose recommendations for HD patients receiving drugs without data from a PK study: (1) literature search, (2) model-based dosage decisions, (3) validation and refinement through concentration monitoring, and (4) publication of relevant observations. Fourth, clinician-initiated PK assessments and case reports to evaluate and individualize use of drugs in HD patients are reviewed, and recommendations to enhance their quality are discussed. Expert commentary: Guidance on collecting and reporting PK information in individual HD patients is warranted to ensure completeness and consistency of such PK studies. A checklist and template for easy-to-implement PK calculations and pharmacometric modeling is provided to facilitate evaluation and individualization of dosing strategies in these patients.

KEYWORDS:

Renal replacement therapy; case reports; end-stage renal disease; hemodialysis; impaired kidney function; modelling; pharmacokinetics; pharmacometrics; systematic review

PMID:
28447486
DOI:
10.1080/17512433.2017.1323632
[Indexed for MEDLINE]

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