0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Population pharmacokinetic model of cefazolin in total hip arthroplasty

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Cefazolin is an antibiotic recommended for infection prevention in total hip arthroplasty (THA). However, the dosing regimen necessary to achieve therapeutic concentrations in obese patients remains unclear. The aim of this study was to conduct a population analysis of cefazolin pharmacokinetics (PK) and assess whether cefazolin administration should be weight adapted in THA. Adult patients undergoing THA surgery received an injection of 2000 mg of cefazolin, doubled in the case of BMI > 35 kg/m 2 and total body weight > 100 kg. A population PK study was conducted to quantify cefazolin exposure over time compared to the therapeutic concentration threshold. A total of 484 cefazolin measurements were acquired in 100 patients, of whom 29% were obese. A 2-compartment model best fitted the data, and creatinine clearance determined interpatient variability in elimination clearance. Our PK simulations using a 2000 mg cefazolin bolus showed that cefazolin concentrations remained above the threshold throughout surgery, regardless of weight or renal function. A 2000 mg cefazolin single injection without adaptation to weight or renal function and without intraoperative reinjection was efficient in maintaining therapeutic concentrations throughout surgery. The optimal target concentration and necessary duration of its maintenance remain unclear.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: found
          • Article: found

          Prediction of Creatinine Clearance from Serum Creatinine

          A formula has been developed to predict creatinine clearance (C cr ) from serum creatinine (S cr ) in adult males: Ccr = (140 – age) (wt kg)/72 × S cr (mg/100ml) (15% less in females). Derivation included the relationship found between age and 24-hour creatinine excretion/kg in 249 patients aged 18–92. Values for C cr were predicted by this formula and four other methods and the results compared with the means of two 24-hour C cr’s measured in 236 patients. The above formula gave a correlation coefficient between predicted and mean measured Ccr·s of 0.83; on average, the difference between predicted and mean measured values was no greater than that between paired clearances. Factors for age and body weight must be included for reasonable prediction.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models.

            Informative diagnostic tools are vital to the development of useful mixed-effects models. The Visual Predictive Check (VPC) is a popular tool for evaluating the performance of population PK and PKPD models. Ideally, a VPC will diagnose both the fixed and random effects in a mixed-effects model. In many cases, this can be done by comparing different percentiles of the observed data to percentiles of simulated data, generally grouped together within bins of an independent variable. However, the diagnostic value of a VPC can be hampered by binning across a large variability in dose and/or influential covariates. VPCs can also be misleading if applied to data following adaptive designs such as dose adjustments. The prediction-corrected VPC (pcVPC) offers a solution to these problems while retaining the visual interpretation of the traditional VPC. In a pcVPC, the variability coming from binning across independent variables is removed by normalizing the observed and simulated dependent variable based on the typical population prediction for the median independent variable in the bin. The principal benefit with the pcVPC has been explored by application to both simulated and real examples of PK and PKPD models. The investigated examples demonstrate that pcVPCs have an enhanced ability to diagnose model misspecification especially with respect to random effects models in a range of situations. The pcVPC was in contrast to traditional VPCs shown to be readily applicable to data from studies with a priori and/or a posteriori dose adaptations.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Prosthetic joint infection.

              Prosthetic joint infection (PJI) is a tremendous burden for individual patients as well as the global health care industry. While a small minority of joint arthroplasties will become infected, appropriate recognition and management are critical to preserve or restore adequate function and prevent excess morbidity. In this review, we describe the reported risk factors for and clinical manifestations of PJI. We discuss the pathogenesis of PJI and the numerous microorganisms that can cause this devastating infection. The recently proposed consensus definitions of PJI and approaches to accurate diagnosis are reviewed in detail. An overview of the treatment and prevention of this challenging condition is provided.
                Bookmark

                Author and article information

                Contributors
                julien.lanoiselee@chu-st-etienne.fr
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                5 October 2021
                5 October 2021
                2021
                : 11
                : 19763
                Affiliations
                [1 ]GRID grid.7429.8, ISNI 0000000121866389, Dysfonction Vasculaire et Hémostase, , INSERM, U1059, ; 42023 Saint-Étienne, France
                [2 ]GRID grid.412954.f, ISNI 0000 0004 1765 1491, Département d’Anesthésie-Réanimation, , CHU de Saint-Etienne, ; 42055 Saint-Étienne, France
                [3 ]GRID grid.412954.f, ISNI 0000 0004 1765 1491, Unité de Recherche Clinique Innovation et Pharmacologie, , CHU de Saint-Etienne, ; 42055 Saint-Étienne, France
                [4 ]GRID grid.412954.f, ISNI 0000 0004 1765 1491, Service de Chirurgie Orthopédique et Traumatologique, , CHU de Saint-Etienne, ; 42055 Saint-Étienne, France
                [5 ]GRID grid.412954.f, ISNI 0000 0004 1765 1491, Laboratoire de Pharmacologie Toxicologie, , CHU de Saint-Etienne, ; 42055 Saint-Étienne, France
                Article
                99162
                10.1038/s41598-021-99162-7
                8492877
                34611213
                88095f62-eda0-49ca-b82e-b27387324358
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 April 2021
                : 13 September 2021
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                pharmacokinetics,antibiotics
                Uncategorized
                pharmacokinetics, antibiotics

                Comments

                Comment on this article