Clinical Pharmacology

Permanent URI for this community

https://scholar.sun.ac.za/handle/10019.1/164
This division was known as Pharmacology until 27 June 2013.

Browse

Browsing Clinical Pharmacology by Author "Abulfathi, Ahmed A."

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Incident tuberculosis disease in patients receiving biologic therapies in the Western Cape, South Africa from 2007 to 2018
    (BMC (part of Springer Nature), 2019) Du Toit, Tessa; Esterhuizen, Tonya M.; Tiffin, Nicki; Abulfathi, Ahmed A.; Reuter, Helmuth; Decloedt, Eric H.
    Background: South Africa has one of the highest tuberculosis incidence rates. Biologic disease-modifying antirheumatic drugs are associated with an increased risk of tuberculosis. The objective of this study was to describe the tuberculosis disease incidence rate among public sector patients receiving biologic therapies in the Western Cape Province. Methods: A retrospective, descriptive analysis was undertaken using routine health data collated by the Provincial Health Data Centre from January 2007 (first use of biologic therapy in the Western Cape) to September 2018. Results: We identified 609 patients treated with tumour necrosis factor-alpha (TNF-α) or non-TNF-α biologic therapies. Thirty-seven (37) patients developed tuberculosis after biologic therapy exposure, of whom the majority (78%) had an immune mediated inflammatory disease and the remainder (22%) a haematologic malignancy. The incidence rate of tuberculosis per 100,000 person-years was 2227 overall [95% confidence interval (CI): 1591, 3037]. Patients treated with TNF-α inhibitors and non-TNF-α inhibitors had estimated incidence rates of 2819 [95% CI: 1669, 4480] and 1825 [95% CI: 1131, 2797], respectively (p = 0.10). Conclusion: Patients exposed to both TNF-α and non-TNF-α biologic therapies may have a higher incidence of tuberculosis disease compared to the background risk of 681 cases per 100,000 per year in the Western Cape.
  • Thumbnail Image
    Item
    The population pharmacokinetics of meropenem in adult patients with rifampicin-sensitive pulmonary tuberculosis
    (Frontiers Media S.A., 2021-06) Abulfathi, Ahmed A.; De Jager, Veronique; Van Brakel, Elana; Reuter, Helmuth; Gupte, Nikhil; Vanker, Naadira; Barnes, Grace L.; Nuermberger, Eric; Dorman, Susan E.; Diacon, Andreas H.; Dooley, Kelly E.; Svensson, Elin M.
    Background: Meropenem is being investigated for repurposing as an anti-tuberculosis drug. This study aimed to develop a meropenem population pharmacokinetics model in patients with pulmonary tuberculosis and identify covariates explaining inter-individual variability. Methods: Patients were randomized to one of four treatment groups: meropenem 2 g three times daily plus oral rifampicin 20 mg/kg once daily, meropenem 2 g three times daily, meropenem 1 g three times daily, and meropenem 3 g once daily. Meropenem was administered by intravenous infusion over 0.5-1 h. All patients also received oral amoxicillin/clavulanate together with each meropenem dose, and treatments continued daily for 14 days. Intensive plasma pharmacokinetics sampling over 8 h was conducted on the 14th day of the study. Nonlinear mixed-effects modeling was used for data analysis. The best model was chosen based on likelihood metrics, goodness-of-fit plots, and parsimony. Covariates were tested stepwise. Results: A total of 404 concentration measurements from 49 patients were included in the analysis. A two-compartment model parameterized with clearance (CL), inter-compartmental clearance (Q), and central (V1) and peripheral (V2) volumes of distribution fitted the data well. Typical values of CL, Q, V1, and V2 were 11.8 L/h, 3.26 L/h, 14.2 L, and 3.12 L, respectively. The relative standard errors of the parameter estimates ranged from 3.8 to 35.4%. The covariate relations included in the final model were creatinine clearance on CL and allometric scaling with body weight on all disposition parameters. An effect of age on CL as previously reported could not be identified. Conclusion: A two-compartment model described meropenem population pharmacokinetics in patients with pulmonary tuberculosis well. Covariates found to improve model fit were creatinine clearance and body weight but not rifampicin treatment. The final model will be used for an integrated pharmacokinetics/pharmacodynamics analysis linking meropenem exposure to early bactericidal activity.