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10.1080/00498254.2020.1824301

http://scihub22266oqcxt.onion/10.1080/00498254.2020.1824301
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suck abstract from ncbi


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pmid32933365      Xenobiotica 2021 ; 51 (2): 127-138
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  • Optimization of hydroxychloroquine dosing scheme based on COVID-19 patients characteristics: a review of the literature and simulations #MMPMID32933365
  • Karatza E; Ismailos G; Marangos M; Karalis V
  • Xenobiotica 2021[Feb]; 51 (2): 127-138 PMID32933365show ga
  • During the recent COVID-19 outbreak hydroxychloroquine (HCQ) has been proposed as a safe and effective therapeutic option. However, a wide variety of dosing schemes has been applied in the clinical practice and tested in clinical studies. An extended literature survey was performed investigating the pharmacokinetics, the efficacy and safety of HCQ in COVID-19 treatment. Population pharmacokinetic models were retrieved from the literature and after evaluation and assessment one was selected in order to perform simulations. The most commonly applied dosing schemes were explored for patients with different weights and different levels of HCQ clearance impairment. Model-based simulations of HCQ concentrations revealed that high initial doses followed by low and sparse doses may offer significant benefits to patients by decreasing the viral load without reaching levels considered to produce adverse effects. For instance, the dosing scheme proposed for a 70 kg adult with moderate COVID-19 symptoms would be 600 mg upon diagnosis, 400 mg after 12 h, 300 mg after 24 h, 200 mg after 36 h, followed by 200 mg BID for 4 d, followed by 200 mg OD for 5 d. Based on the results from simulations performed and the currently published knowledge regarding HCQ in COVID-19 treatment, this study provides evidence that a high loading dose followed by sparse doses could offer significant benefits to the patients.
  • |*COVID-19 Drug Treatment[MESH]
  • |Antiviral Agents/*administration & dosage/pharmacokinetics/*therapeutic use[MESH]
  • |Computer Simulation[MESH]
  • |Humans[MESH]


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