Methodological features of clinical pharmacokinetic–pharmacodynamic studies of antibacterials and antifungals: a systematic review

Author:

McAleenan Alexandra1ORCID,Ambrose Paul G2,Bhavnani Sujata M2,Drusano George L3,Hope William W4,Mouton Johan W5,Higgins Julian P T1,MacGowan Alasdair P6

Affiliation:

1. Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol BS8 2PS, UK

2. Institute of Clinical Pharmacodynamics, 242 Broadway, Schenectady, New York 12305, USA

3. Institute for Therapeutic Innovation, Department of Medicine, University of Florida, UF Research and Academic Center at Lake Nowa, 6550 Sanger Road, Orlando, Florida 32827, USA

4. Centre for Antimicrobial Pharmacodynamics, Institute of Translational Medicine, University of Liverpool, Liverpool L69 4BX, UK

5. Department of Medical Microbiology & Infectious Diseases, Erasmus Medical Centre, s-Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands

6. Bristol Centre for Antimicrobial Research & Evaluation, Infection Sciences, Pathology Science Quarter, North Bristol NHS Trust, Southmead Hospital, Westbury-on-Trym, Bristol BS10 5NB, UK

Abstract

Abstract Background Pharmacokinetic (PK)–pharmacodynamic (PD) indices relate measures of drug exposure to antibacterial effect. Clinical PK–PD studies aim to correlate PK–PD indices with outcomes in patients. Optimization of dosing based on pre-clinical studies means that PK–PD relationships are difficult to establish; therefore studies need to be designed and reported carefully to validate pre-clinical findings. Objectives To describe the methodological features of clinical antibacterial and antifungal PK–PD studies that reported the relationship between PK–PD indices and clinical or microbiological responses. Methods Studies published between 1980 and 2015 were identified through systematic searches. Methodological features of eligible studies were extracted. Results We identified 85 publications containing 97 PK–PD analyses. Most studies were small, with fewer than 100 patients. Around a quarter were performed on patients with infections due to a single specific pathogen. In approximately one-third of studies, patients received concurrent antibiotics/antifungals and in some other studies patients received other treatments that may confound the PK–PD–outcome relationship. Most studies measured antimicrobial concentrations in blood/serum and only four measured free concentrations. Most performed some form of regression, time-to-event analysis or used the Hill/Emax equation to examine the association between PK–PD index and outcome. Target values of PK–PD indices that predict outcomes were investigated in 52% of studies. Target identification was most commonly done using recursive partitioning or logistic regression. Conclusions Given the variability in conduct and reporting, we suggest that an agreed set of standards for the conduct and reporting of studies should be developed.

Funder

Innovative Medicines Initiative Joint Undertaking

European Union’s 7th Framework Programme

European Federation of Pharmaceutical Industries and Associations

EFPIA

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

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