Prediction of Belimumab Pharmacokinetics in Chinese Pediatric Patients with Systemic Lupus Erythematosus.

BACKGROUND AND
OBJECTIVE: Intravenous (IV) belimumab is the first treatment approved for children ≥5 years of age with active autoantibody-positive systemic lupus erythematosus (SLE) in the USA, Europe, and Japan. Pharmacokinetic data for belimumab were collected from several clinical trials in Chinese and non-Chinese adults and non-Chinese pediatric patients with SLE. This study aimed to predict the belimumab dose-exposure relationship to Chinese pediatric patients with SLE, as part of the belimumab registration process for this population in China, using a population PK modeling approach.
METHODS: An initial linear two-compartment population pharmacokinetic model was built using data from adults only, and considering and adjusting for the covariates age, body weight, body mass index, fat-free mass, race, baseline albumin and immunoglobulin G levels. The model was used to study possible ethnic differences between Chinese and non-Chinese adults and to predict pediatric pharmacokinetic data in a study of non-Chinese pediatric patients (PLUTO study; NCT01649765). The predicted data were compared with the observed data from PLUTO. The model was then updated with pediatric data from PLUTO to predict steady-state belimumab exposure in Chinese pediatric patients with SLE receiving belimumab 10 mg/kg IV every 4 weeks.
RESULTS: The dataset comprised 9650 sampled concentration values from 1783 patients. The pharmacokinetics of belimumab were adequately described by the final model using all adult and pediatric data with the estimated typical clearance of 238 ml/day in adult and pediatric patients and steady-state volume of distribution of 4915 ml in adults. Between-patient variability was modest (coefficients of variation: 26.1% for clearance; 8.9% and 28.5%, respectively, for volumes of distribution of the central and peripheral compartments). Six covariates were identified that influenced pharmacokinetics: age, fat-free mass, an indicator of North East Asian race, baseline albumin, immunoglobulin G, and an early study indicator (two early phase I and phase II belimumab studies: LBSL01 and LBSL02). The analysis showed no apparent difference in steady-state exposure between Chinese and non-Chinese populations and between pediatric and adult populations receiving belimumab 10 mg/kg IV.
CONCLUSIONS: In Chinese pediatric patients with SLE, belimumab 10 mg/kg IV every 4 weeks is expected to have exposure similar to that in Chinese adults and non-Chinese pediatric patients with SLE, supporting the use of this regimen in Chinese pediatric patients with SLE. CLINICAL TRIAL REGISTRATION NUMBERS: NCT01649765, NCT00657007, NCT00071487, NCT01345253, NCT01516450, NCT00410384, NCT00424476, NCT02880852, NCT01583530.

Key Points

Introduction

Belimumab is a human immunoglobulin G (IgG) 1λ monoclonal antibody targeting soluble B-cell activating factor (also known as B-lymphocyte stimulator [BLyS]), a potent B-cell survival factor that correlates with disease activity in patients with systemic lupus erythematosus (SLE) [1-3]. The clinical development program in patients with SLE showed that belimumab was well-tolerated and was associated with reduced SLE disease activity, fewer severe flares, and lower prednisone use than was placebo [4-7]. Intravenous (IV) belimumab is currently approved for the treatment of autoantibody-positive SLE in adult patients in the USA, all European Economic Area countries, Japan, China, Russia, Argentina, and Brazil [8-11] with a dosing regimen of a 10-mg/kg infusion at 2-week intervals for the first three doses and at 4-week intervals thereafter. Based on the positive benefit–risk ratio in children aged 5–17 years [8, 11–14], belimumab 10 mg/kg IV is also approved for the treatment of pediatric SLE in the USA, Europe, and Japan.

The efficacy and safety of belimumab in adult patients with SLE from North East Asia was established in a phase III study (GlaxoSmithKline [GSK] study BEL113750; NCT01345253) that included 517 adult Chinese patients with SLE [7]. In addition, a phase I study (GSK study 200909; NCT02880852) further evaluated the pharmacokinetics, pharmacodynamics, and safety of belimumab in adult Chinese patients [15]. These data supported the use of belimumab in the adult SLE population in China; however, belimumab was not yet approved for the treatment of pediatric patients with SLE in China at the time of this study.

Drug development in pediatric patients has a variety of obstacles, including the scarcity of this study population and the difficulty and complexity of conducting studies. The ethical considerations also differ. Efforts should generally be made to use adult efficacy data based on extrapolation exercises that include factors such as body size, age, and other maturation-related variables [16]. Similar exposures were observed between non-Chinese adult and pediatric patients. However, data from the BEL113750 (NCT01345253) and PLUTO (GSK Study BEL114055; NCT01649765) studies suggested that belimumab exposures in adult Chinese patients were lower than those in pediatric patients of Asian heritage based on the 10-mg/kg IV dosing regimen [13, 15]. Thus, uncertainty remains surrounding the expected exposures of belimumab 10 mg/kg IV in Chinese pediatric patients with SLE.

A proposal to extend the indication for belimumab to include Chinese pediatric patients aged 5–17 years can be based on results from data prediction to the pediatric population. This study aimed to support this approach by developing a population pharmacokinetic model using data from key belimumab studies to predict drug exposure in Chinese pediatric patients with SLE by estimating exposure and pharmacokinetic parameters from Chinese/non-Chinese adult and non-Chinese pediatric patients with SLE.

Methods

Objectives

The objectives of this study were to develop a population pharmacokinetic model that could identify the potential effect of selected covariates (e.g., age, race, body size variables, baseline patient characteristics) on pharmacokinetic parameters and to compare the model-predicted exposure of IV and subcutaneous (SC) belimumab in Chinese and non-Chinese healthy participants and patients with SLE. This population pharmacokinetic analysis comprises the dose–exposure part of the prediction to the Chinese pediatric population based on pharmacokinetic data from Chinese and non-Chinese adults and pediatric patients with SLE (Fig. 1).

Fig. 1

Pediatric prediction scheme from Chinese adult and non-Chinese adult and pediatric patients

Study Design and Endpoints

Pharmacokinetic data were collected from healthy participants and patients with SLE from nine prospective clinical belimumab studies (BEL114055 [PLUTO; NCT01649765], LBSL01 [NCT00657007], LBSL02 [NCT00071487], BEL113750 [BLISS-NEA; NCT01345253], BEL116119 [NCT01516450], BEL110751 [BLISS-76; NCT00410384], BEL110752 [BLISS-52; NCT00424476], 200909 [NCT02880852], BEL114448 [NCT01583530]) in Chinese and non-Chinese adults with SLE, non-Chinese pediatric patients with SLE, and non-Chinese healthy volunteers (Table S1 in the electronic supplementary material [ESM]) for a population pharmacokinetic analysis.

Assay Methods

Three assay methods were used to determine serum belimumab concentrations. Enzyme-linked immunosorbent assay was used in studies LBSL01 and LBSL02, with a lower limit of quantification (LLOQ) of 138.5 ng/ml of belimumab in human serum. An electrochemiluminescence-based assay with an LLOQ of 100 ng/ml was used in BLISS-52 and BLISS-76. The PLUTO study and studies BEL113750, BEL116119, 200909 and BEL114448 also used an electrochemiluminescence-based assay; in these studies, serum samples were analyzed in two laboratories and the method was cross-validated prior to analysis.

Modeling and Simulation

Software and Estimation Methods

A nonlinear mixed-effects model was developed using the software NONMEM®, version 7.3 (ICON Development Solutions). The parameter estimation used the ADVAN3 TRANS4 subroutine and the first-order conditional estimation method with interaction term based on the previously characterized IV population pharmacokinetic model [17]. R version 3.6.0 was used for generating model diagnostic plots and revising the datasets needed for population pharmacokinetic analyses. Quality control steps were undertaken throughout the work process to assemble the datasets and check for accuracy.

Handling of Missing Data and Outliers

All values below the LLOQ were excluded from the analysis, and no other data were removed. No concentration or covariate data were imputed for missing values before the analysis. Graphical exploration of data was undertaken to identify outliers. The goodness-of-fit plots were used to decide on the inclusion or exclusion of the outliers in the final data analysis.

Population Pharmacokinetic Model Development

Based on previous pharmacokinetic analyses of belimumab in patients with SLE at dose regimens > 1 mg/kg every 4 weeks (Q4W), belimumab does not display nonlinearity due to target-mediated drug disposition, a phenomenon typical of monoclonal antibodies [17, 18]. The pharmacological effects of belimumab are mediated via its binding to and neutralization of soluble BLyS, which inhibits B-cell survival and differentiation without directly causing B-cell death. Average belimumab concentrations at steady state (Cavg_ss) are approximately 100 µg/ml for the 10 mg/kg IV and 200 mg SC dosing regimens. There is a significant molar excess of belimumab at these exposures, at approximately 25,000 times higher concentrations than with the BLyS trimer; as such, BLyS inhibition is expected to be saturated [18]. A linear two-compartment structural model was initially used that included interindividual variability in clearance (CL), intercompartmental clearance (Q), and volumes of distribution of the central and peripheral compartments (V1 and V2, respectively). A combination of additive and multiplicative terms was considered for the residual error of the model. The model selection was based on evaluation of minimum objective function values (OFV), goodness-of-fit, and precision of parameter estimates.

The initial model was built using pharmacokinetic data from adult patients only to study pharmacokinetic differences between Chinese and non-Chinese patients with SLE. Potential covariates that might affect pharmacokinetics were investigated. For monoclonal antibodies, multiple mechanisms exist by which the disease state or target binding can affect pharmacokinetics. For example, the neonatal Fc receptor (FcRn) recycles and thus protects IgG from lysosomal degradation. Endogenous IgG competes with the therapeutic antibodies for FcRn binding. The level of albumin may be an indicator of FcRn expression. A high albumin level implies a high degree of protection of IgG from degradation and reduced CL of a monoclonal antibody [19]. Therefore, the effects of baseline IgG and baseline albumin on pharmacokinetics were evaluated. The effects of the following demographic and baseline variables were also investigated for their influence on the main pharmacokinetic parameters: race variables (Chinese [n = 135] vs. non-Chinese [n = 1648]; North East Asians [i.e., worldwide Chinese, Japanese, and Koreans {n = 235}] vs. non-North East Asians [n = 1548]); body size (body weight, body mass index, fat-free mass [FFM]); age and sex; and baseline albumin and IgG levels. FFM was calculated using the formulae from Janmahasatian et al. [20]. Covariate selection was guided by biological plausibility with any of the pharmacokinetic parameters and by the decrease in the minimum OFV, approximated as a χ2 distribution, using a combined forward selection and backward elimination approach. In building the model with the forward selection, the decrease in the minimum OFV was set to be greater than 3.84 units for the addition of a single covariate parameter (p < 0.05). Covariates were added manually to the base model one by one, starting with the most significant, until the full model for which none could be further added according to the criteria. From the full model, the significance of each covariate was tested individually by removing one at a time until all non-significant covariates were excluded. A covariate was retained if, upon removal, the minimum OFV increased by more than 10.83 units (p < 0.001). The backward elimination continued until all covariates in the model passed the criteria described. The model confirmed by backward elimination was the final model.

The established model was used to predict pediatric pharmacokinetic data from the PLUTO study using their baseline covariates and collected dosing and sampling times. The predicted data were then compared with the observed concentrations, and if they were consistent, the model was updated with pediatric data from PLUTO. Otherwise, possible causes of inconsistency were investigated. The final model was used to predict pharmacokinetic and exposure parameters in Chinese pediatric patients with SLE under the dosing regimen of 10 mg/kg Q4W. The predicted exposures were compared with those of non-Chinese pediatric and Chinese adult patients with SLE.

The Criterion for Pharmacokinetic and Exposure Comparison

To justify the appropriateness of the dosing regimen (10 mg/kg Q4W), a similarity criterion was used for comparisons of pharmacokinetic parameters and exposure distributions between Chinese and non-Chinese adult populations, non-Chinese adult and pediatric populations, and Chinese adult and pediatric populations. The exposure distribution for the Chinese pediatric patients was predicted, while for other populations it was based on empirical Bayes estimates. The individual steady-state exposure values (Cavg_ss; predicted from the final model under the dosing regimen of 10 mg/kg Q4W), either calculated post hoc or simulated, were first generated using the best population pharmacokinetic model. The two distributions were considered similar if the 80%–125% calculated interval of the first and third quartiles of one distribution included those of another. The scalers 80 and 125% were selected based on common acceptable concepts of pharmacokinetic and exposure parameter variability (e.g., in the bioequivalence acceptance criterion) [21]. More standard statistical comparison of the two distributions (e.g., Kolmogorov–Smirnov test) was not considered necessary as the purpose was to assess or match the two distributions under the context of belimumab therapeutic windows.

Results

Population Pharmacokinetics

The dataset used for the population pharmacokinetic analysis consisted of 9650 concentration values from samples collected from 1783 patients from nine studies (Table 1). The analysis population consisted of 1730 adult and 53 pediatric patients (age range 6−80 years). Overall, 1979 of 11,629 (17.0%) pharmacokinetic samples were below the LLOQ and therefore excluded from the data analysis.

Table 1

Participant demographics and baseline variables, N = 1783

Demographics and variables	Pediatric participants (n = 53)	Adult participants (n = 1730)
Median (min, max) Age, yearsa	14 (6; 18)	38 (18; 80)
Median (min, max) Weight, kg	52.5 (17; 85.5)	65.7 (35.8; 165.4)
Median (min, max) BMI, kg/m2	21.37 (15.42; 34.03)	24.82 (14.32; 56.23)
Median (min, max) FFM, kg	34.45 (12.56; 57.16)	41.08 (24.32; 87.93)
Race, n (%)
North East Asian	3 (5.66)	232 (13.41)
Otherb	50 (94.34)	1498 (86.59)
Sex, n (%)
Male	4 (7.55)	115 (6.65)
Female	49 (92.45)	1615 (93.35)
Median (min, max) Serum IgG, g/l	14.5 (4.08; 31.2)	14.7 (3.33; 61.9)
Median (min, max) Albumin, g/l	43 (29; 52)	40 (19; 55)

BMI body mass index, FFM fat-free mass, IgG immunoglobulin G

aOne 18-year-old patient was included in PLUTO but counted in the adult category

bPopulation other than North East Asian

Model Development

Comparison of model predictions in pediatric patients from PLUTO based only on adult data with observed concentrations in the study revealed no great discrepancy other than some underprediction (Fig. 2; left panel). When pharmacokinetic data from PLUTO were also included, only age was identified as a significant covariate on V1. The final model with all data improved the pharmacokinetic prediction in pediatric patients with fewer underpredictions (Fig. 2; right panel) and described the pharmacokinetics of belimumab in adult and pediatric patients adequately. The parameter estimates for a typical patient in the respective datasets from the final model using all data were overall consistent with those using only the adult data, and the variability estimates for CL and V1 were expectedly smaller because of the inclusion of the covariates.

Fig. 2

Model predictions vs. observations in pediatric patients from PLUTO. Left: run607 (adult data only); right: run613 (final model); top: normal scale; bottom: log scale. PRED predicted

Pharmacokinetics and Covariates

Estimated pharmacokinetic parameters are listed in Table 2. Little bias was seen in the goodness-of-fit plots, indicating that the model described the data well (Fig. 3).

Table 2

Population pharmacokinetic parameters (final model)

Description	Typical value		RSEa (%)	Variance (η)		RSE (%)	Shrinkage (%)	CVb (%)
CL (ml/day)	θ1	238	1.2	η1	0.0682c	5.2	7	26.1
FFM	× (FFM/40.69)θ7	0.673	5.9
BALB	× (BALB/40)θ9	−1.12	6.2
BIGG	× (BIGG/14.8)θ10	0.293	7.4
STDY = LBSL01 or 02	× θ11INDR	1.63	1.6
V1 (ml)	θ2	2597	1.5	η2	0.0079c	36.6	35.8	8.9
FFM	× (FFM/40.69)θ8	0.891	4.2
STDY = LBSL01 or 02	× θ12INDR	1.26	1.4
Race (RAC4d)	× θ12RAC4	1.07	1.7
AGE	× AGE/(AGE + θ14)	1.58	33.9
Q (ml/day)	θ3	591	6.5	η3	0 (fixed)	–	–	–
V2 (ml)	θ4	2318	3.4	η4	0.0781	23.9	52	28.5
ε1 (%)e	θ5	0.247	1.8	η5	0.186	12.4	7.8	45.2
ε2 (mg/l)e	θ6	0.221	7.7

AGE patient age, BALB baseline albumin, BIGG baseline immunoglobulin G, CL clearance, CV coefficient of variance, FFM fat-free mass, INDR study indicator (INDR=1 for study LBSL01 and LBSL02 INDR=0 for the rest of studies), η interindividual variance, Q intercompartmental clearance, RAC race, RSE relative standard error, SE standard error, STDY early study indicator, θ corresponding structural model parameter, V1 central volume distribution, V2 peripheral volume distribution

aRSE (%) is calculated as SE/|typical value| × 100

bCV(%) is calculated as sqrt(exp(var(η)) − 1) × 100

cCov(CL, V2) = 0.0125 and its RSE = 22.5%

dRAC4 = 1 for North East Asian population and RAC4 = 0 for other populations

eε1 is proportional error, ε2 is additive error

Fig. 3

Goodness-of-fit plots for the final population pharmacokinetic model. Run613. Blue points are pediatric data; black points are adult data; black dashed lines are the identity or zero line; red lines are Loess fit

The estimated typical clearance was 238 ml/day in both adult and pediatric populations, and the steady-state volume of distribution (Vss) was 4915 ml in adult patients. Between-patient variability was modest, with coefficients of variation of 26.1% for clearance, 8.9% for V1, and 28.5% for V2. Important baseline variables such as FFM, albumin, and IgG that were included in previous population analyses [17, 18, 22] as covariates to the pharmacokinetic parameters improved the model fitting to the data, as expected. Examination of goodness-of-fit plots showed that the model overpredicted concentrations from the two early belimumab studies (LBSL01 and LBSL02) (Fig. S1 in the ESM). Possible causes for the apparently lower concentrations could be differences in operation or bioanalytical methods, and assay methods. However, as suggested by Struemper et al. [17], none of these potential factors could be quantified because of their mutual confounding effect. The population pharmacokinetic models of belimumab were, therefore, set up such that the default population pharmacokinetic parameters reflected the exposure in the pivotal phase III studies BEL110751 and BEL110752 as well as the North East Asia phase III study BEL113750, which used product manufactured and formulated in the same manner as the marketed product. The “fudge factor” was thus included so that the data from the two studies could still be used. An indicator variable that differentiated the earlier studies from the later studies was found to be significant when implemented on both CL and V1.

No apparent difference in CL and a moderate difference in V1 were seen between North East Asians and other populations. The other race variables (e.g., Chinese vs. non-Chinese) did not show a better fit (similar influence on V1), as judged with the Akaike information criterion [23]. This implies that there was no apparent difference in pharmacokinetics between Chinese and other North East Asians after accounting for body size differences.

The performance of the model was evaluated using visual predictive checks in addition to other model diagnostic tools such as goodness-of-fit plots. Estimated fixed and random effects were used to simulate 2000 replicates of the final dataset in NONMEM, and Fig. 4 displays the visual predictive check plots with 90% prediction intervals for belimumab concentrations after the first dose of 10 mg/kg. The observed data were overlaid on the simulations. The model appeared to predict the majority of the data well, but it slightly underpredicted the pediatric data.

Fig. 4

Visual predictive check of observed vs. simulated data stratified by adult (upper) and pediatric (lower) patients. Left: linear scale, right: log scale. Black dots are observations; lines are the 5%, 50%, and 95% quantiles of the observations; bands are 95% confidence intervals of the corresponding quantiles of the simulated model

Distribution of Steady-State Average Concentration (Cavg_ss) for Pediatric and Adult Patients

The median level of individual Cavg_ss in Chinese adult patients (N = 135) was 82.4 mg/l, which was 39.6% lower than those in pediatric patients of North East Asian heritage (N = 3) from the PLUTO study (136.5 mg/l). The exposure difference between Chinese and non-Chinese patients and between adult and pediatric patients, as well as the influence of covariates on belimumab exposure, was further assessed through simulations. The simulated Cavg_ss under the dosing regimen of 10 mg/kg Q4W was compared among different racial groups. Consistent with the lack of an effect of race on CL in the model, the results showed no apparent difference in exposure between North East Asian and non-North East Asian populations (Fig. 5a) or between Chinese and non-Chinese populations (Fig. 5b). For pediatric and adult patients, following IV administration of belimumab 10 mg/kg (Fig. 5c, d), the first and third quartiles of Cavg_ss in the overall pediatric population (78.2 and 105.8 mg/l, respectively) were within the 80–125% calculated interval limits for the overall and North East Asian adult populations, indicating overall similarity of exposure distribution (Table 3).

Fig. 5

Pharmacokinetic exposure comparison of (A) North East Asian vs. non-North East Asian populations, (B) Chinese vs. non-Chinese populations, (C) simulated pediatric patients (blue) vs. all adults (red), and (D) simulated pediatric patients (blue) vs. simulated North East Asian adults (red). C steady-state average concentration, NE North East Asian populations

Table 3

Distribution of steady-state average concentration (mg/l) for adult and pediatric patients with systemic lupus erythematosus

Population	First quartile	Third quartile
All adult patients (80–125%)	81.0 (64.8–101.3)	111.2 (89.0–139.0)
North East Asian adult patients (80–125%)	75.8 (60.6–94.8)	98.0 (78.4–122.5)
All pediatric patients	78.2	105.8

Discussion

This population pharmacokinetic analysis used data from nine clinical IV belimumab studies to predict the pharmacokinetics of belimumab in Chinese pediatric patients with SLE. The study found that several baseline variables (FFM, IgG, and albumin) impacted the pharmacokinetics of belimumab. Early population analyses showed similar pharmacokinetics and exposure between healthy adults and adult patients with SLE under the same dosing regimens [17, 18, 22]; differences between these two groups were not studied in this analysis. There was no great disparity in exposure between Chinese and non-Chinese patients or between pediatric and adult patients with SLE. With the 10-mg/kg intravenous Q4W dosing regimen, the predicted Cavg_ss in Chinese pediatric patients with SLE showed distributions similar to those in adult patients with SLE (Table 3, Fig. 5). Therefore, this population pharmacokinetic analysis demonstrated that dose–exposure relationships with the 10 mg/kg IV Q4W dosing regimen in Chinese pediatric patients with SLE should be similar to those in non-Chinese pediatric patients with SLE and Chinese adult patients with SLE.

Previous population pharmacokinetic analyses suggested that belimumab exposures in Chinese adult patients from study BEL113750 were around 50% lower than those in pediatric patients of North East Asian heritage in study BEL114055 (data not shown). The current model overpredicted pharmacokinetic exposures of patients in study BEL113750 (Fig. S1 in the ESM). A possible reason for this is the sparse nature of the pharmacokinetic sampling in the small group of patients in study BEL113750. However, the model did fit well to the extensively sampled pharmacokinetic data from the phase I 200909 study in Chinese adult patients with SLE [15], which suggests that exposures from study BEL113750 might not be representative of exposures in Chinese patients.

The pharmacokinetic exposures of Chinese patients were slightly lower than those of other North East Asian populations. Although estimating the categorized CL and V1 in Chinese, non-Chinese, North East Asian, and other populations did significantly lower the OFV, the model fit was not obviously improved and the model still overpredicted the data from study BEL113750. One possible reason is a difference in the bioanalysis methods, which were performed in two different laboratories (one for Chinese sites and one for non-Chinese sites). In the cross-validation exercise, the results obtained from the laboratory in China were approximately 7.5% lower than those from the other laboratory. Ultimately, racial differences within the North East Asian population were not considered in our final model.

The results of this study indicate a degree of uncertainty surrounding the expected exposures in a Chinese pediatric population. A population model fitted to all available adult and pediatric data could not completely explain the different exposures observed between non-Chinese pediatric patients and Chinese adults in study BEL113750. Nevertheless, the model fit to the wider dataset was consistently good across all other studies, including a second pharmacokinetic study in Chinese adults (study 200909). The model is considered to be an accurate and reliable representation of the pharmacokinetics in both adults and pediatrics as well as in the North East Asian and Chinese subgroups. The model can therefore be used with confidence to predict pharmacokinetics in a Chinese pediatric population.

Conclusions

This modeling analysis revealed no substantial difference in steady-state belimumab exposure between Chinese and non-Chinese patients under the belimumab 10-mg/kg IV Q4W dosing regimen. Steady-state belimumab exposure in pediatric patients was similar to that in the adult population receiving belimumab 10 mg/kg IV Q4W, which suggests no great difference in exposure between pediatric and Chinese adult populations. The proposed belimumab 10 mg/kg IV Q4W dosing regimen for Chinese pediatric patients with SLE should result in similar exposure to that in Chinese adult and non-Chinese pediatric patients, supporting the use of belimumab 10 mg/kg IV in Chinese pediatric patients with SLE.

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 202 kb)

Intravenous (IV) belimumab 10 mg/kg every 4 weeks is approved for children aged ≥ 5 years with active autoantibody-positive systemic lupus erythematosus (SLE) in the USA, Europe, and Japan based on the results from a phase II efficacy study (PLUTO study) in pediatric patients and other studies in adults. However, no data were available from Chinese pediatric patients, and belimumab was not approved for the treatment of pediatric patients with SLE in China at the time of this study.

Previous population pharmacokinetic analyses using data from PLUTO or a phase III study in North East Asian patients (BEL113750) suggested that, under the 10-mg/kg IV dosing regimen, belimumab exposures in Chinese adult patients (N = 42) were around 50% lower than those in pediatric patients of North East Asian heritage (N = 3) from the PLUTO study. This led to the question of how, for the same dosing regimen, exposures would compare between Chinese pediatric and adult patients, and between Chinese and non-Chinese pediatric patients.

This study developed a population pharmacokinetics model to predict drug exposure in Chinese pediatric patients using data from the previous belimumab studies to support an indication extension for belimumab in Chinese pediatric patients with SLE. The results of this study supported the use of belimumab 10 mg/kg IV every 4 weeks in Chinese pediatric patients with SLE.