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      Dosing of Ceftriaxone and Metronidazole for Children With Severe Acute Malnutrition

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          Abstract

          Infants and young children with severe acute malnutrition (SAM) are treated with empiric broad‐spectrum antimicrobials. Parenteral ceftriaxone is currently a second‐line agent for invasive infection. Oral metronidazole principally targets small intestinal bacterial overgrowth. Children with SAM may have altered drug absorption, distribution, metabolism, and elimination. Population pharmacokinetics of ceftriaxone and metronidazole were studied, with the aim of recommending optimal dosing. Eighty‐one patients with SAM (aged 2–45 months) provided 234 postdose pharmacokinetic samples for total ceftriaxone, metronidazole, and hydroxymetronidazole. Ceftriaxone protein binding was also measured in 190 of these samples. A three‐compartment model adequately described free ceftriaxone, with a Michaelis–Menten model for concentration and albumin‐dependent protein binding. A one‐compartment model was used for both metronidazole and hydroxymetronidazole, with only 1% of hydroxymetronidazole predicted to be formed during first‐pass. Simulations showed 80 mg/kg once daily of ceftriaxone and 12.5 mg/kg twice daily of metronidazole were sufficient to reach therapeutic targets.

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          PsN-Toolkit--a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM.

          PsN-Toolkit is a collection of statistical tools for pharmacometric data analysis using the non-linear mixed effect modeling software NONMEM. The toolkit is object oriented and written in the programming language Perl using the programming library Perl-speaks-NONMEM (PsN). Five methods: the Bootstrap, the Jackknife, Log-likelihood Profiling, Case-deletion Diagnostics and Stepwise Covariate Model building are included as separate classes and may be used in user-written Perl scripts or through stand-alone command line applications. The tools are designed with the ability to cooperate and with an emphasis on common structures for workflow and result handling. Parallel execution of independent tool sections is supported on shared memory multiprocessor (SMP) computers, Mosix/openMosix clusters and distributed computing environments following the NorduGrid standard. In conclusion, PsN-Toolkit makes it easier to use the Bootstrap, the Jackknife, Log-likelihood Profiling, Case-deletion Diagnostics and Stepwise Covariate Model building in pharmacometric data analysis.
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            Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions.

            Empirical Bayes ("post hoc") estimates (EBEs) of etas provide modelers with diagnostics: the EBEs themselves, individual prediction (IPRED), and residual errors (individual weighted residual (IWRES)). When data are uninformative at the individual level, the EBE distribution will shrink towards zero (eta-shrinkage, quantified as 1-SD(eta (EBE))/omega), IPREDs towards the corresponding observations, and IWRES towards zero (epsilon-shrinkage, quantified as 1-SD(IWRES)). These diagnostics are widely used in pharmacokinetic (PK) pharmacodynamic (PD) modeling; we investigate here their usefulness in the presence of shrinkage. Datasets were simulated from a range of PK PD models, EBEs estimated in non-linear mixed effects modeling based on the true or a misspecified model, and desired diagnostics evaluated both qualitatively and quantitatively. Identified consequences of eta-shrinkage on EBE-based model diagnostics include non-normal and/or asymmetric distribution of EBEs with their mean values ("ETABAR") significantly different from zero, even for a correctly specified model; EBE-EBE correlations and covariate relationships may be masked, falsely induced, or the shape of the true relationship distorted. Consequences of epsilon-shrinkage included low power of IPRED and IWRES to diagnose structural and residual error model misspecification, respectively. EBE-based diagnostics should be interpreted with caution whenever substantial eta- or epsilon-shrinkage exists (usually greater than 20% to 30%). Reporting the magnitude of eta- and epsilon-shrinkage will facilitate the informed use and interpretation of EBE-based diagnostics.
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              Human renal function maturation: a quantitative description using weight and postmenstrual age.

              This study pools published data to describe the increase in glomerular filtration rate (GFR) from very premature neonates to young adults. The data comprises measured GFR (using polyfructose, (51)Cr-EDTA, mannitol or iohexol) from eight studies (n = 923) and involved very premature neonates (22 weeks postmenstrual age) to adulthood (31 years). A nonlinear mixed effects approach (NONMEM) was used to examine the influences of size and maturation on renal function. Size was the primary covariate, and GFR was standardized for a body weight of 70 kg using an allometric power model. Postmenstrual age (PMA) was a better descriptor of maturational changes than postnatal age (PNA). A sigmoid hyperbolic model described the nonlinear relationship between GFR maturation and PMA. Assuming an allometric coefficient of 3/4, the fully mature (adult) GFR is predicted to be 121.2 mL/min per 70 kg [95% confidence interval (CI) 117-125]. Half of the adult value is reached at 47.7 post-menstrual weeks (95%CI 45.1-50.5), with a Hill coefficient of 3.40 (95%CI 3.03-3.80). At 1-year postnatal age, the GFR is predicted to be 90% of the adult GFR. Glomerular filtration rate can be predicted with a consistent relationship from early prematurity to adulthood. We propose that this offers a clinically useful definition of renal function in children and young adults that is independent of the predictable changes associated with age and size.
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                Author and article information

                Contributors
                j.standing@ucl.ac.uk
                Journal
                Clin Pharmacol Ther
                Clin. Pharmacol. Ther
                10.1002/(ISSN)1532-6535
                CPT
                Clinical Pharmacology and Therapeutics
                John Wiley and Sons Inc. (Hoboken )
                0009-9236
                1532-6535
                19 April 2018
                December 2018
                19 April 2018
                : 104
                : 6 , HIV ( doiID: 10.1002/cpt.2018.104.issue-6 )
                : 1165-1174
                Affiliations
                [ 1 ] Great Ormond Street Institute of Child Health University College London London UK
                [ 2 ] Paediatric Infectious Diseases Research Group Institute for Infection and Immunity, St. George's, University of London London UK
                [ 3 ] Center for Research in Therapeutic Sciences Strathmore University Nairobi Kenya
                [ 4 ] KEMRI‐Centre for Clinical Research Nairobi Kenya
                [ 5 ] KEMRI‐Wellcome Trust Research Programme Kilifi Kenya
                [ 6 ] Mbagathi County Hospital Nairobi Kenya
                [ 7 ] Coast General Hospital Mombasa Kenya
                [ 8 ] Analytical Services International, St George's University of London London UK
                [ 9 ] Institute of Chemistry University of Tartu Tartu Estonia
                [ 10 ] The Childhood Acute Illness & Nutrition (CHAIN) Network Nairobi Kenya
                [ 11 ] Centre for Tropical Medicine & Global Health, Nuffield Department of Medicine University of Oxford Oxford UK
                Author notes
                [*] [* ]Correspondence: Joseph F. Standing ( j.standing@ 123456ucl.ac.uk )
                Article
                CPT1078
                10.1002/cpt.1078
                6282491
                29574688
                8e9a0685-169b-4646-af0e-dcb17911b0f3
                © 2018 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 08 August 2017
                : 15 March 2018
                : 18 March 2018
                Page count
                Figures: 5, Tables: 2, Pages: 10, Words: 6474
                Funding
                Funded by: United Kingdom Medical Research Council/Department for International Development/Wellcome Trust Joint Global Health Trials Scheme
                Award ID: MR/M007367/1
                Funded by: United Kingdom Medical Research Council Fellowship
                Award ID: MR/M008665/1
                Funded by: National Institute for Health Research Biomedical Research Centre
                Funded by: Hospital for Children NHS Foundation Trust
                Funded by: Bill & Melinda Gates Foundation
                Award ID: OPP1131320
                Categories
                Articles
                Research
                Articles
                Custom metadata
                2.0
                cpt1078
                December 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.3 mode:remove_FC converted:06.12.2018

                Pharmacology & Pharmaceutical medicine
                Pharmacology & Pharmaceutical medicine

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