key: cord-308545-5n55yl2s authors: Verscheijden, Laurens F. M.; van der Zanden, Tjitske M.; van Bussel, Lianne P. M.; de Hoop‐Sommen, Marika; Russel, Frans G. M.; Johnson, Trevor N.; de Wildt, Saskia N. title: Chloroquine Dosing Recommendations for Pediatric COVID‐19 Supported by Modeling and Simulation date: 2020-05-21 journal: Clin Pharmacol Ther DOI: 10.1002/cpt.1864 sha: doc_id: 308545 cord_uid: 5n55yl2s As chloroquine (CHQ) is part of the Dutch Centre for Infectious Disease Control coronavirus disease 2019 (COVID‐19) experimental treatment guideline, pediatric dosing guidelines are needed. Recent pediatric data suggest that existing World Health Organization (WHO) dosing guidelines for children with malaria are suboptimal. The aim of our study was to establish best‐evidence to inform pediatric CHQ doses for children infected with COVID‐19. A previously developed physiologically‐based pharmacokinetic (PBPK) model for CHQ was used to simulate exposure in adults and children and verified against published pharmacokinetic data. The COVID‐19 recommended adult dosage regimen of 44 mg/kg total was tested in adults and children to evaluate the extent of variation in exposure. Based on differences in area under the concentration‐time curve from zero to 70 hours (AUC(0–70h)) the optimal CHQ dose was determined in children of different ages compared with adults. Revised doses were re‐introduced into the model to verify that overall CHQ exposure in each age band was within 5% of the predicted adult value. Simulations showed differences in drug exposure in children of different ages and adults when the same body‐weight based dose is given. As such, we propose the following total cumulative doses: 35 mg/kg (CHQ base) for children 0–1 month, 47 mg/kg for 1–6 months, 55 mg/kg for 6 months–12 years, and 44 mg/kg for adolescents and adults, not to exceed 3,300 mg in any patient. Our study supports age‐adjusted CHQ dosing in children with COVID‐19 in order to avoid suboptimal or toxic doses. The knowledge‐driven, model‐informed dose selection paradigm can serve as a science‐based alternative to recommend pediatric dosing when pediatric clinical trial data is absent.  A knowledge driven, model-informed approach can be used to support off-label dose recommendations, in the absence of clinical data, in case of a high medical need. Emerging data prompted the US Food and Drug Administration (FDA) to issue the emergency use authorization of chloroquine (CHQ) to treat COVID-19. 2 The mechanism of action of CHQ for COVID-19 is not known, but it has been hypothesized that CHQ acts through inhibition of endosome-mediated viral entry, and pH dependent steps in viral replication. 3 In addition, reduced cytokine release by immune cells could possibly benefit patients having a severe immune response. 3 For adults, in vitro and modeling studies have explored the potentially effective plasma and tissue concentrations to treat COVID-19. 4, 5 The Dutch Centre for Infectious Disease Control (CIDC) recommends a total cumulative dose of 3,300 mg CHQ base (44 mg/kg for a 75 kg adult), reducing the risk of adverse events by limiting treatment to 5 days. 6 The Dutch Pediatric Formulary (DPF), the government supported, national source for pediatric drug information and drug doses, 7 set out to determine a best-evidence CHQ dose for children with COVID-19. As CHQ is licensed for use in children with malaria, 8 it may seem rational to use the World Health Organization (WHO) recommended antimalarial dose to treat COVID-19 infected pediatric patients (25 mg/kg given over 3 days). 9 However, applying these licensed doses may not be optimal to treat COVID-19. In fact, the current pediatric WHO dose may even be questionable for the treatment of malaria, as recent studies show that older infants and children may need a higher mg/kg dose to reach similar drug concentrations as adults. [10] [11] [12] In contrast, it is likely that neonates and young infants will need lower doses per kg body weight. CHQ is metabolized by the drug metabolizing enzymes CYP3A4 (~ 15%) and CYP2C8 (~ 20%) and is renally excreted (~ 56%, leaving ~ 9% unknown additional clearance). 4 All these processes are immature at birth and show an increase to adult values in the first years of life. 13 Physiologically-based pharmacokinetic (PBPK) modeling combines drug-specific properties and physiological properties to model drug disposition and drug action. Both the FDA as well as the European Medicine Agency support the use of these models to determine the optimal dose also for children. [14] [15] [16] Hence, we aim to model and simulate CHQ exposure in children and propose optimal dosing regimens for COVID-19. Simcyp version 19 was used for simulations, which were performed using the predefined North European white "Sim-Healthy volunteer" and "Sim-Paediatric" populations. Default age-related physiological parameters (e.g., ontogeny in CYP3A4 expression, CYP2C8 expression, and renal clearance) were verified previously. 17, 18 Parameters in pediatric subjects were redefined over time as explained by Abduljalil et al. 19 The CHQ compound file, built and verified by Yao et al. in adults, was derived from the Simcyp repository and used without modifications. 4 For all simulations, the proportion of female patients was set to 0.5. 10, 20 Adults received a single 300 mg CHQ base tablet, the children (6 months-12 years) ~ 10 mg base/kg (cut) tablets q.d. for 3 days, respectively. Only minimum and maximum concentrations were extracted from the published figures using WebPlotDigitizer version 4.1, because individual values could not be identified from the plots. Simulations were performed for at least 400 individuals per age group and trial size was based on the number of patients in the studies above. For adults, a single dose of 300 mg was simulated for 10 trials of 40 subjects (18-65 years) . For children, doses of 10 mg/kg q.d. for 3 days (30 mg/kg total) were simulated. For the 6-month to 5-year-olds, 4 trials of 123 subjects were simulated, and for the 5 to 12-year-olds, 6 trials of 76 subjects. Simulations were run for 7 days and clinically measured data were overlaid with PBPK simulated concentration-time profiles to verify the CHQ PBPK model. Simulations were performed using the standard body weight (75 kg) normalized adult oral dose of 44 mg base/kg, as proposed by the Dutch CIDC. 6 A loading doses of 8 mg/kg is followed by 4 mg/kg after 12 hours. Maintenance doses on days 2-5 are given as 4 mg/ kg twice daily. Age groups were defined as 0-1 month, 1-6 months, 6 months to 5 years, 5-12 years, and adults (18-65 years) based on the age groups defined in the Zhao et al. PK study (3 oldest cohorts), and expected age-related changes based on CYP and GFR maturation (2 youngest cohorts). Simulations were performed in 10 trials using 40 subjects per trial and run over 70-day periods. The area under the curve (AUC) was calculated from 0 up until ~ 5 reported half-lives (70 days) after the first dose, at which point virtually all drug is removed from the system. 8 AUC adult and AUC pediatric values were used to optimize dosing regimens by multiplying the AUC ratio with total adult dose (44 mg/kg) using this formula: The loading doses tested were the licensed pediatric dose (10 mg/kg followed after 6 hours by 5 mg/kg) and the Dutch CIDC adult dose (8 mg/kg followed after 12 hours by 4 mg/kg). The remainder of the total pediatric dose was equally divided over 8 doses administered twice daily on days 2-5. Revised doses were then re-entered into the simulator to confirm that they resulted in similar exposure (within a 5% limit) compared with the adult dose. We assume that matching systemic CHQ exposures in the different age groups results in a similar lung exposure, as predicted by Yao et al. PBPK model simulations were compared with observed values in adults and children 6 months to 12 years of age (Figure 1a-c) . Mean plasma concentrations were predicted well, as our doses fell within the reported concentrations ranges. Around 160 hours after dosing, the model slightly overpredicted measured concentrations by Zhao et al. Observed variability seemed larger than predicted variability. Simulations with the recommended adult dose (44 mg/kg) in all age groups resulted in AUC ratios (adult/pediatric age group) diverting from 1 and differing by age group ( Table 1) . Using these AUC ratios, new dosing regimens were calculated and simulated for the previously defined age groups (Figure 1d-h) . The new age-adjusted doses, with corresponding AUC values are reported in Table 1 . To simplify the dosing schedule for clinical use, the dose recommendations were rounded ( Table 1) . (1) Total pediatric dose = AUCadult AUCpediatric * Total adult dose Our study presents age-adjusted CHQ doses for treatment of COVID-19 in children across the pediatric age range. These doses support previous pharmacokinetic (PK) studies in pediatric patients with malaria showing a need for higher mg/kg doses, as compared with adults, to reach similar plasma exposures in children 6 months to 12 years. [10] [11] [12] In addition, these doses account for immature drug metabolism and renal function, as reflected by the need of lower doses in children < 6 months of age, compared with older children. 13 We verified our model by comparing simulated and observed concentrations from published PK studies in adults and children. Mean concentration-time profiles seemed to reasonably reflect the observed CHQ concentrations. 10, 20 The simulated variability tended to be smaller than that observed in children. This may be explained by rounding of the dose in the original studies, as the oral tablet formulation did not allow precise weight-based dosing. In one study, tablets were cut into quarters and halves, in the other study, two strength tablets were used. 10, 20 As simulations were in the same range as the published data and generally captured central tendency of these data, the model is considered adequate for the purpose of pediatric dose extrapolation based on exposure-matching. As the dosing schedule proposes higher mg/kg doses than the currently licensed pediatric dose for malaria treatment, safety questions may arise. Especially as lethal toxicity in children has been reported. 21, 22 The children in these toxicity reports received unintentional overdoses of ~ 35-100 mg/kg CHQ (base) in a single dose. 21 These doses are much higher than proposed here. In studies in children > 6 months with malaria, doses of 50 and 70 mg/kg (in a 3-day schedule) were well-tolerated, with no severe cardiac adverse event. 11, 23 For the youngest age groups, exposure matching should result in similar concentrations as in older children. From literature search and consultancy with malaria experts, no special safety issues for neonates emerged, only after significant overdoses. In general, children with QT prolongation had very low mortality. 24 Nevertheless, we recommend daily monitoring of potential adverse events, including corrected QT interval prolongation by echocardiogram monitoring, before treatment and daily afterward. Our study has several other limitations and assumptions. We used a dosing schedule aiming for similar plasma exposures as with the adult dose proposed by the Dutch CIDC. 6 This is a pragmatic combination of the registered malaria dose and the prolonged treatment suggested by the recent COVID-19 studies, avoiding higher than adult exposures. If currently ongoing studies show more optimal dosing regimens in adults for COVID-19, we will reconsider pediatric doses using the same concept of exposure-matching informed by PBPK modeling. In addition, the plasma target for COVID-19 is not clearly established. The reported in vitro antiviral half-maximal effective concentrations of CHQ (half-maximal effective concentration = 5.47 μM ref. 4 and 1.13 μM ref. 5) will not be reached in plasma by the current proposed dose (factor 2-10 too low). Considering the extremely large volume of distribution of CHQ (100-200 L/kg 20 ), up to 400 times higher concentrations may be reached in lung tissue, providing adequate antiviral exposure, as simulated by Yao et al. 4 In this study, we assume that matching systemic exposure in adults would result in similar lung concentration of CHQ in pediatrics, which requires further investigation. Another limitation of our model is the lack of PK data to verify the pediatric CHQ simulations of children < 6 months of age. The SIMCYP pediatric model has been extensively verified for CYP3A, CYP2C8, and renally cleared drugs in this age range. 17, 18 Moreover, the CHQ dose predictions are in line with our understanding of maturation of these processes. 13 Regarding absorption, the compound file developed by Yao et al. uses a first-order absorption model developed using adult data only. 4 As absorption in adults is almost complete, we do not expect a major effect of this limitation on the plasma concentrations in children. If efficacy for treatment of COVID-19 is to be evaluated in children, it is important that the right dose will be used, leading to comparable exposures as in adults. As the expected number of COVID-19 pediatric patients in need of CHQ treatment will be small, randomized trials to evaluate efficacy are less feasible in this population. Collecting sparse PK data, especially in neonates and infants under CHQ treatment for COVID-19, for whom currently no data are available, allows further verification and improvement of the PBPK model. In addition, although ethically challenging, data on tissue distribution will be extremely valuable to confirm predictive performance of future models. In conclusion, we present best-evidence CHQ doses for pediatric COVID-19. We recommend the use of these doses to provide children optimal exposure with the highest chance of efficacy and safety. The knowledge-driven, model-informed dose selection paradigm presented in this study can serve as a science-based alternative for the DPF to recommend pediatric dosing when pediatric clinical trial data is absent. SARS-CoV-2 infection in children Request for Emergency Use Authorization For Use of Chloroquine Phosphate or Hydroxychloroquine Sulfate Supplied From the Strategic National Stockpile for Treatment of Coronavirus Disease. (US Food and Drug Administration Effects of chloroquine on viral infections: an old drug against today's diseases? In vitro antiviral activity and projection of optimized dosing design of hydroxychloroquine for the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro LCI richtlijn COVID-19. Bijlage Medicamenteuze behandelopties bij opgenomen patiënten met COVID-19 wwwlcirivmnl Developing a paediatric drug formulary for the Netherlands Summary of product characteristics chloroquine