You're viewing our updated article page. If you need more time to adjust, you can return to the old layout.

ORIGINAL RESEARCH article

Front. Pharmacol., 30 June 2025

Sec. Pharmacoepidemiology

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1549069

Cost-effectiveness of therapeutic drug monitoring of perampanel for pediatrics with epilepsy: real-world data

  • 1. Department of Pharmacy, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China

  • 2. Department of Pediatrics, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China

Article metrics

View details

2

Citations

1,6k

Views

348

Downloads

Abstract

Aims:

Increased plasma concentration of perampanel (PER) is associated with reduction in seizure frequency. It is unclear how much better therapeutic drug monitoring (TDM) is than without TDM in pediatric using PER. This study aims to estimate the effectiveness and cost-effectiveness of TDM of PER in children with epilepsy.

Methods:

An observational study was conducted to compare clinical and economic outcomes between the TDM and non-TDM groups. We used a Markov model to evaluate the cost-effectiveness of TDM from a healthcare system perspective based on data from an observation cohort study that included four health states. High cost-effectiveness thresholds were defined as < $12,814. One-way, probabilistic sensitivity analyses and scenario analyses were conducted to explore uncertainty.

Results:

TDM of the PER improved the 1-year seizure-free rate from 16.7% to 48.1% and the >50% reduction in seizure frequency from 58.3% to 83.3% in children with epilepsy (P = 0.035). The TDM of the PER is highly cost-effective, with an ICER of $732.90 per QALY gained (79.11% probability of being highly cost-effective). TDM was dominant, with an increased QALY of 0.86 and a decreased cost of $1,586.07 in children with newly diagnosed epilepsy. The number of days of hospitalization in the no response state, which is related to the cost of hospitalization, is the largest influencing factor.

Conclusion:

TDM of PER could reduce the seizure frequency and is cost-effective for children with epilepsy. TDM of the PER in newly diagnosed epilepsy patients is strongly dominant because of its improvement in efficacy and reduction in cost.

Introduction

Perampanel (PER) is a newer anti-seizure medication (ASM) that has received approval for use as adjunctive therapy or monotherapy in adults and children aged ≥4 years old with focal-onset seizures, with or without focal to bilateral tonic‒clonic seizures (Krauss et al., 2012; Yamamoto et al., 2020). PER is metabolized in the liver primarily via CYP3A4.

Therapeutic drug monitoring (TDM) measures therapeutic drug concentrations in the biofluid of patients to guide dosage adjustment (Meneghello et al., 2018). Studies have shown a positive correlation between the plasma concentration of PER and the improvement of epilepsy control, indicating that as the plasma concentration increases, the frequency of seizures decreases (Gidal et al., 2013; Franco et al., 2016). A linear relationship was also observed between the PER concentration and dosage in adults and children (Qu et al., 2023; Steinhoff et al., 2019).

Some special situations, such as combinations of other drugs, elderly individuals, children, and patients with special disease states, still require the monitoring of PER. Compared to that of PER combined with enzyme-induced ASMs, the efficacy of PER combined with non-enzyme-induced ASMs was better (Hou et al., 2023). In combination with phenytoin (PHT), carbamazepine (CBZ), oxcarbazepine (OXC), and topiramate (TPM) enhance metabolism and decrease plasma concentrations of PER, while ketoconazole inhibits metabolism and increases plasma concentrations (Patsalos et al., 2018). The plasma clearance of PER in children is significantly greater than that in adults and decreases gradually with age (Li Y. et al., 2022). However, the deceasing course is characterized by interindividual variability (Italiano and Perucca, 2013). Furthermore, PER has not been proven to be useful for children aged 1–4 years, and a suitable dosage needs further research. Most studies have shown that adverse reactions are not related to the concentration of PER (Gidal et al., 2013; Hou et al., 2023; Li Y. et al., 2022). However, most studies on TDM of PER are single cohort, and it is unclear how much better TDM is than without TDM in pediatric using PER to control seizure.

In this study, we first evaluate the effectiveness of TDM of PER in real world and then use real-world data to investigate the cost-effectiveness of TDM of PER.

Methods

Study cohorts

Our study population was based on an observation cohort study from 1 October 2020, to 30 September 2023. All patients included were diagnosed with epilepsy (Fisher et al., 2014), were <18 years old, had never used PER before, and were followed up for at least 1 year. Patients were from the second Affiliated Hospital of Zhejiang University School of Medicine, which is a comprehensive hospital with six campuses providing medical services across multiple regions. Patients who had poor compliance, who were transferred to other non-ASM therapies during follow-up period (electrical nerve stimulation, surgery, or a ketogenic diet) were excluded. Compliance was evaluated by Simplified Medication Adherence Questionnaire (Ma et al., 2019). The missing data was addressed through multiple imputation.

Patients who received TDM are in the TDM group, while those who did not are in the non-TDM group. The initial dose of PER is 2 mg/day. The decision for patients initially prescribed PER to receive TDM was random. The dosage adjustment of PER in TDM group aimed to maintain a benchmark concentration when optimal control of seizures was achieved. Dosage in TDM group was adjusted according to the TDM results of PER and symptom: 1. If patients do not reach the therapeutic range without seizure free, increase the PER dose based on TDM results; 2. If patients are within the therapeutic range with seizure free, maintain the dosage; 3. If patients are within the therapeutic range without seizure free, increase the dosage by 2 mg/day each time; 4. If patients are beyond the therapeutic range with seizure free, decrease the dosage according to the TDM results; 5. If patients are beyond the therapeutic range without seizure free, consider other therapies. The therapeutic range of PER is 100–1000 ng/mL (Yu et al., 2023). The plasma concentration of PER was routinely monitored once a month and tested again 1 week after dose adjustment or immediately after adverse reactions occur. All TDM samples were detected by liquid chromatography-mass spectrometry (LC-MS) and were through concentration of PER. If patients in the non TDM group still experience seizures, the dose will be increased by 2 mg/day every 2 weeks until there are no seizures or the patient cannot tolerate it, with a maximum dose of 12 mg/day.

Patient characteristics, epilepsy type (classification based on seizure semiology, electroencephalography (EEG) findings and magnetic resonance imaging), seizure frequency, ASM combination (drug dosage, frequency and adherence), family history and TDM results were collected from the first PER prescription to the end of follow-up. We followed up patients every 2 weeks for the first month, once a month for next 2 months and once every 3 months for rest of the time until lasted for 1 year. In addition, the direct costs of each patient during the follow-up period were collected for economic model parameter input, including ASM therapy, routine outpatient monitoring, hospitalization, TDM. The data were obtained from the hospital medical system. The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the ethics committee of Second Affiliated Hospital of Zhejiang University, School of Medicine (IR2023385, 2024/1/22). All included patients provided written informed consent.

The primary clinical outcome was the 6-month and 12-month response rate (percentage of seizure frequency decreases ≥50%). The secondary clinical outcome was the 12-month complete response rate, that is, the seizure freedom rate (the percentage of 100% reduction in seizure frequency) (Krauss et al., 2020).

Economic model

We constructed a decision model to estimate the cost-effectiveness of TDM in pediatric patients with epilepsy. The decision model adopted the perspective of the Chinese health system. A 15-year horizon was chosen to reflect chronic epilepsy, with a cycle length of 6 months to match the primary clinical outcome of the observation study. Costs and outcomes were discounted at 5% annually, in line with the Chinese Pharmacoeconomic Evaluation Guidelines 2020 (Chinese Pharmacoeconomic Evaluation Guidelines, 2020).

Model structure

A Markov model was developed to emulate epilepsy pediatric transition among four health states according to seizure frequency reduction and cessation of PER therapy in individuals: no response (<50% reduction in seizure frequency), response (≥50% to <100% reduction in seizure frequency), seizure freedom (100% reduction in seizure frequency), and cessation of PER. The model structure was consistent with our real-world data. One hundred percent of children who adopted PER entered the model in the “no response” health state and could move to other health states.

Patients could discontinue PER therapy in any health state unless they achieved seizure freedom and could convert to other ASM therapies that did not require TDM of the PER. Therefore, patients will remain in the discontinued PER state until the Markov cohort ends, but direct medical costs accumulate. Based on real-world data, our model provides 13 possible alternative ASMs, including CBZ, clonazepam (CLZ), clobazam (CLB), lacosamide (LCS), levetiracetam (LEV), lamotrigine (LTG), OXC, phenobarbital (PB), PER, TPM, valproate (VPA), vigabatrin (VGB), nitrazepam, and zonisamide (ZNS). The model structure is displayed in Figure 1.

FIGURE 1

Flowchart illustrating the outcomes of a treatment plan with three possible paths: "No response" indicates less than fifty percent reduction in seizure frequency; "Response" indicates fifty to less than one hundred percent reduction; "Seizure freedom" indicates one hundred percent reduction. If there is no response, the recommendation is to discontinue PER and consider other ASM therapy. Arrows guide possible transitions between these states.

Markov model structure. ASM, Anti-seizure medication.

Model input parameters

The real-world data were used to parameterize the transition probability for PER with or without TDM (Table 2). The first cycle transition probability parametrizes movement among on-treatment people for the first 6-month phase. As the follow-up only lasted for 1 year, we assumed that the transition probability of the second cycle onward is the same based on data from the 6th to 12th month phases. Ordinal logistic regression was used to calculate the OR of the TDM group relative to the non-TDM group as clinical outcomes were classified into three levels (uncontrol, response, and seizure free). Real-world estimates of adverse reactions were not available in this study. As such, we captured the incidence rate of adverse reactions from the literature and consolidated the data (Qu et al., 2023; Li Y. et al., 2022; Lin et al., 2018). The incidence rate of adverse reactions in TDM group is lower than non-TDM group. For utility, we referred to a mapping study to determine the short-form six-dimensional (SF-6D) score based on seizure frequency (Flint et al., 2023). The seizure frequency in 28 days from real-word data was applied in regression to generate utility for cost-effectiveness analysis. Adverse reactions may occur in each cycle, causing a decrease in the utility value (Laskier et al., 2023). Since few and mild adverse reactions to PER have been reported, we considered the following four mild to moderate adverse reactions: dizziness, somnolence, irritability, and ataxia (Li D. et al., 2022; Rugg-Gunn, 2014).

Cost categories consisted of ASM therapy, routine outpatient monitoring, hospitalization, TDM, and adverse reactions. Costs from real-world studies were all inflated to the year 2022, and the average inflation rate is 1.48% (CNY Inflation Calculator, 2024).

The costs of ASM therapy were spilt to those of PER and other combined ASMs. The PER cost was calculated by the average daily dose of PER (mg/d) multiplied by the cycle length and average cost per unit dose (RMB/mg). Other combined ASM therapy costs were estimated as weighted average costs according to the proportion of patients who received the combined ASM, the average daily dose of the combined ASM and the associated pack price. The average daily dose and proportion of combinations with other ASMs captured from real-world data are different for each health state.

The TDM cost was multiplied by the number of TDM and unit price of TDM. Hospitalization costs were determined by the probability of hospitalization, the number of days of hospitalization, and the average daily cost of hospitalization. Patients received routine outpatient monitoring, so the number of outpatients, test cost, examination cost and number of consultations were calculated. For patients who discontinued PER, the ASM cost was estimated by the weighted average cost according to the probability of switching to another drug combined with other drugs. The unit cost of adverse reactions was obtained from the China Health Statistics Yearbook (2022).

Cost-effectiveness analysis

The base case analysis was represented by the incremental cost-effectiveness ratio (ICER), an indicator of incremental cost on additional quality-adjusted life years (QALY) gained by TDM. Cost-effectiveness thresholds of <12,814 US dollars (Chinese GDP per capita in 2022), 12,814 to <38,442 US dollars (three times the GDP per capita) and ≥38,442 US dollars per QALY gained were defined as highly, intermediately or not cost-effective, respectively (Anderson et al., 2014). The willingness-to-pay (WTP) threshold for epilepsy is similar to GDP per capita, not 3 times GDP per capita, as set by the guidelines (Gao et al., 2015). In addition, research suggests that the willingness to pay varies by disease (Kvamme et al., 2010). Therefore, we used GDP per capita as the threshold, referring to how to set the WTP threshold for cardiovascular disease (Anderson et al., 2014). All costs in RMB have been converted to US dollars using the 2022 exchange rate. 1 US dollar = 6.73 RMB (Exchange Rate, 2024).

Our data on efficacy, cost, and other relevant factors are derived from real-world study. To minimize the bias introduced by the research, one-way sensitivity analysis was performed to identify the impact of input parameters, such as the cost of PER and other ASMs, the OR of the non-TDM group relative to the TDM group, the TDM cost, the probability of hospitalization and adverse reactions, and health state utility. The 95% confidence interval (CI) was calculated for each parameter that varied in the one-way sensitivity analysis. When the 95% CIs were unavailable, a standard error of 20% of the mean value was assumed (Drummond et al., 2005). We conducted probabilistic sensitivity analysis using 10,000 Monte Carlo simulations to explore the parameter joint uncertainty. We assigned gamma, beta and normal distributions for cost, probability and utility respectively (Briggs et al., 2006; Briggs et al., 2001). Ratio was assigned lognormal distribution, and the disutility value was assigned gamma distribution (Briggs et al., 2006; Drummond and McGuire, 2001). Table 2 details the distributions for parameters. The probability of being cost-effective was calculated between 12,814 and 38,442 US dollars per QALY gained.

Scenario analyses were performed as follows: (Krauss et al., 2012): all patients were newly diagnosed with epilepsy; (Yamamoto et al., 2020); TDM-guided dosage adjustment lasted for only 1 year, with no effect gained in the next cycle because frequent dose adjustments usually occurred within 1 year of beginning the ASM; (Meneghello et al., 2018); there was a 1-year time horizon, 5-year time horizon and 10-year time horizon; and (Gidal et al., 2013) all patients had refractory epilepsy.

Results

Cohort characteristics, outcomes and inputs

Between 1 October 2020, and 30 September 2022, a total of 124 children with epilepsy were treated with PER. Four children were excluded because of poor compliance. A total of 120 patients were analyzed, with 78 patients in the TDM group and 42 patients in the non-TDM group. The baseline characteristics before PER prescription are shown in Table 1. Thirty-five patients (28 in the TDM group and 17 in the non-TDM group) discontinued PER at the 6-month follow-up. Eighty patients (54 and 24 in the TDM and non-TDM groups, respectively) underwent regular PER for 1 year and were analyzed for final clinical outcomes. The patient flowchart is shown in Figure 2. Age, sex, epilepsy type, newly diagnosed epilepsy status, family history, and average daily dose of PER were no significantly difference so that the two groups were comparable. Most patients used 2 or more kinds of ASMs before PER prescription. The most commonly used drug was VPA (40.8%), followed by LEV (29.2%). The baseline characteristics and clinical outcomes of patients who started taking PER are shown in Table 2. The average daily dose of PER in the TDM group was similar to that in the non-TDM group. More children in the TDM group were seizure free (48.2% VS. 16.7%) than those in the non-TDM group (p = 0.035). A total of 83.3% of the children responded after PER prescription, which was better than that in the non-TDM group (58.3%).

TABLE 1

Group TDM Non TDM
Number 78 42
Age, year (SD) 7.29 (4.70) 6.11 (3.86)
Male (%) 42 (53.8) 28 (66.7)
Epilepsy type
Focal epilepsy 51 25
Generalized epilepsy 24 10
Unclassified epilepsy 3 7
Drug- resistant epilepsy 48 35
Number of ASM before PER prescription (SD) 3 (2) 4 (2)
Family history (%) 14 (17.9) 5 (11.9)
Used ASM before PER prescription
VPA 36 13
LEV 25 10
TPM 19 8
OXC 15 4
LTG 10 2
NZP 8 5
CLZ 6 5
CLB 6 2
CBZ 4 3
ZNS 4 3
VGB 4 0
PB 2 1
LCS 1 0

Baseline characteristics of the children before PER prescription (n = 120).

LTG, lamotrigine; TPM, Topiramate; LEV, Levetiracetam; CLZ, Clonazepam; ZNS, Zonisamide; VPA, valproate; CBZ, Carbamazepine; NZP, Nitrazepam; OXC, Oxcarbazepine; LCS, lacosamide; CLB, Clobazam; VGB, Vigabatrin; PB, phenobarbital; PER, perampanel; SD, standard deviation; ASM, anti-seizure medication.

FIGURE 2

Flowchart illustrating the study of children with PER prescription. Initially, 124 children were considered, with 4 excluded. The remaining 120 were split into TDM (78 children) and non-TDM groups (42 children). At 6-month follow-up, 18 discontinued in TDM and 17 in non-TDM. TDM had 60 remaining: 14 no response, 21 responded, 25 seizure-free. Non-TDM had 25 remaining: 10 no response, 11 responded, 4 seizure-free. At 12-month follow-up, 6 more discontinued in TDM and 1 in non-TDM. TDM had 54 remaining: 9 no response, 19 responded, 26 seizure-free. Non-TDM had 24 remaining: 9 no response, 10 responded, 5 seizure-free.

Patient flow. PER, perampanel.

TABLE 2

Group TDM Non TDM P value
Number 54 24
Age, year (SD) 6.49 (3.95) 8.64 (4.77) 0.191
Male (%) 28 (52) 17 (71) 0.117
Epilepsy type
Focal epilepsy 37 14 0.279
Generalized epilepsy 14 6
Unclassified epilepsy 3 4
Drug- resistant epilepsy 30 18 0.103
Number of ASM before PER prescription (SD) 2 (2) 3 (2) 0.383
Family history (%) 9 4 1.000
Clinical outcome
Response 19 10 0.035
Seizure free 26 4
Uncontrolled 9 8

Characteristics and clinical outcomes of children after 12 months of PER treatment (n = 78).

PER, perampanel; SD, standard deviation; ASM, anti-seizure medication.

The cost, transition probability, and OR captured from real-world data were used as parameters to populate the Markov model. All parameters were related to health status. The transition probability of the first cycle was greater than that of the second cycle, indicating that the efficacy of the PER was better at the initial prescription stage than at later stages. The OR of seizure freedom of the non-TDM group relative to the TDM group from the Ordinal Logistic Regression was 0.461 (95% CI: 0.22–0.965, P = 0.040). We characterized the actual mean 6-month costs for the health state. The mean total costs per patient in the seizure-free state were $488.70 in the non-TDM group and $609.15 in the TDM group, which were significantly lower than those in the non-TDM group ($807.08 in the non-TDM group vs. $688.95 in the TDM group). Total costs were driven by PER costs (non-TDM: $177.93; TDM: $180.69), TDM costs, outpatient costs, hospitalization costs (non-TDM: $113.27; TDM: $351.18) and other ASM costs (non-TDM: $330.95; TDM: $222.89). Patients in the TDM group were more likely to be outpatients than those in the non-TDM group were. All the parameter inputs are shown in Table 3. The unit cost of drugs and routine monitoring were displayed in Tables 4, 5.

TABLE 3

Parameter Value (sensitivity analysis range*) Distributions Source
Non TDM TDM
OR:100% seizure reduction VS TDM 0.461 (0.220–0.965) - Lognormal Real world data
Probability of adverse reaction
 Dizziness (%) 9.1 (7.3–10.9) 4.8 (3.8–5.7) Beta Li Y et al. (2022); Qu et al. (2023); Lin et al. (2018)
 Somnolence (%) 7.6 (6.1–9.1) 1.8 (1.4–2.2)
 Irritable (%) 10.6 (8.5–12.7) 1.2 (1.0–1.4)
 Ataxia (%) 4.5 (3.6–5.5) 1.2 (1.0–1.4)
Transition probability of 1st cycle (%)
 No response to no response 20.0% - Real world data
 No response to response 26.7%
 No response to seizure freedom 24.1%
 No response to discontinue PER 29.2%
Transition probability of 2nd cycle
 No response to no response 70.8% - Real world data
 No response to response 4.2%
 No response to seizure freedom 0.0%
 No response to discontinue PER 25.0%
 Response to stop 3.1%
 Response to response 87.5%
 Response to no response 3.1%
 Response to seizure freedom 6.3%
 Seizure freedom to seizure freedom 100.0%
Probability of combination with another drug
Seizure free
 LTG 0.0 (0.0–20.0) 0.0 (0.0–20.0) Beta Real world data
 TPM 20.0 (16.0–24.0) 12.8 (10.3–15.4)
 LEV 30.0 (24.0–36.0) 28.2 (22.6–33.8)
 CLZ 20.0 (16.0–24.0) 2.6 (2.1–3.1)
 ZNS 20.0 (16.0–24.0) 2.6 (2.1–3.1)
 VPA 40.0 (32.0–48.0) 38.5 (30.8–46.2)
 CBZ 20.0 (16.0–24.0) 0.0 (0.0–20.0)
 XXP 10.0 (8.0–12.0) 7.7 (6.2–9.2)
 OXC 10.0 (8.0–12.0) 23.1 (18.5–27.7)
 LCS 0.0 (0.0–20.0) 0.0 (0.0–20.0)
 CLB 0.0 (0.0–20.0) 0.0 (0.0–20.0)
 VGB 0.0 (0.0–20.0) 0.0 (0.0–20.0)
 PB 0.0 (0.0–20.0) 2.6 (2.1–3.1)
Response
 LTG 0.0 (0.0–20.0) 13.8 (11.0–16.6) Beta Real world data
 TPM 25.0 (20.0–30.0) 34.5 (27.6–41.4)
 LEV 43.8 (35.0–52.5) 27.6 (22.1–33.1)
 CLZ 43.8 (35.0–52.5) 10.3 (8.3–12.4)
 ZNS 6.3 (5.0–7.5) 6.9 (5.5–8.3)
 VPA 37.5 (30.0–45.0) 34.5 (27.6–41.4)
 CBZ 18.8 (15.0–22.5) 6.9 (5.5–8.3)
 XXP 18.8 (15.0–22.5) 20.7 (16.6–24.8)
OXC 0.0 (0.0–20.0) 10.3 (8.3–12.4)
 LCS 6.3 (5.0–7.5) 3.4 (2.8–4.1)
 CLB 0.0 (0.0–20.0) 0.0 (0.0–20.0)
 VGB 6.3 (5.0–7.5) 3.4 (2.8–4.1)
 PB 6.3 (5.0–7.5) 0.0 (0.0–20.0)
No response
 LTG 30.8 (24.6–36.9) 18.8 (15.0–22.5) Beta Real world data
 TPM 23.1 (18.5–27.7) 56.3 (45.0–67.5)
 LEV 76.9 (61.5–92.3) 25.0 (20.0–30.0)
 CLZ 30.8 (24.6–36.9) 6.3 (5.0–7.5)
 ZNS 23.1 (18.5–27.7) 0.0 (0.0–20.0)
 VPA 46.2 (36.9–55.4) 62.5 (50.0–75.0)
 CBZ 7.7 (6.2–9.2) 0.0 (0.0–20.0)
 XXP 7.7 (6.2–9.2) 25.0 (20.0–30.0)
 OXC 7.7 (6.2–9.2) 12.5 (10.0–15.0)
 LCS 0.0 (0.0–20.0) 0.0 (0.0–20.0)
 CLB 7.7 (6.2–9.2) 6.3 (5.0–7.5)
 VGB 0.0 (0.0–20.0) 6.3 (5.0–7.5)
 PB 0.0 (0.0–20.0) 0.0 (0.0–20.0)
The number of TDM - 1.74 (0.64–2.83) Gamma Real world data
Total cost per cycle
 Seizure free 488.70 609.16 Gamma Real world data
 Response 641.99 872.10
 No response 807.08 988.95
 Discontinue PER 787.31 787.31
Hospitalization cost
 Seizure free 99.36 179.96 Gamma Real world data
 Response 151.22 384.48
 No response 101.26 420.14
 Discontinue PER 101.26 420.14
Outpatient cost
 Seizure free 55.75 84.66 Gamma Real world data
 Response 52.09 116.03
 No response 100.22 135.13
 Discontinue PER 100.22 135.13
PER cost
 Seizure free 171.05 189.92 Gamma Real world data
 Response 189.98 187.35
 No response 172.76 164.80
Other ASM cost
 Seizure free 162.54 136.52 Gamma Real world data
 Response 248.70 166.15
 No response 432.84 250.78
 Discontinue PER 479.73 338.13
Number of outpatient
 Seizure free 2.43 (0.84–4.02) 3.83 (2.43–1.40) Normal Real world data
 Response 2.77 (0.84–4.70) 4.97 (1.66–8.28)
 No response 4.89 (1.51–8.27) 6.40 (0.72–13.52)
 Discontinue PER 4.89 (1.51–8.27) 6.40 (0.72–13.52)
Adverse reaction cost
 Dizziness 318.7 (224.0–596.4) Gamma China Health Statistics Yearbook (2022)
 Somnolence 318.7 (224.0–596.4)
 Irritable 318.7 (224.0–596.4)
 Ataxia 318.7 (224.0–596.4)
TDM cost - 121.8 Gamma Real world data
Utility of health state
 Seizure free 0.650 (0.520–0.780) Beta utility mapping study, Real world data
 Response 0.597 (0.480–0.720)
 No response 0.500 (0.400–0.600)
 Discontinue PER 0.500 (0.400–0.600)
Utility of adverse reaction
 Dizziness −0.0047 (−0.0037–0.0057) Gamma Laskier et al. (2023)
 Somnolence −0.0047 (−0.0037–0.0057)
 Irritable −0.0047 (−0.0037–0.0057)
 Ataxia −0.0047 (−0.0037–0.0057)

Overview of cost, quality of life and clinical inputs.

LTG, lamotrigine; TPM, Topiramate; LEV, Levetiracetam; CLZ, Clonazepam; ZNS, Zonisamide; VPA, valproate; CBZ, Carbamazepine; NZP, Nitrazepam; OXC, Oxcarbazepine; LCS, lacosamide; CLB, Clobazam; VGB, Vigabatrin; PB, phenobarbital; PER, perampanel; ASM, anti-seizure medication; TDM, therapeutic drug monitoring.

TABLE 4

Drugs The unit price ($/g)
CBZ 0.64
CLB 47.10
CLZ 36.85
LCS 19.53
LEV 1.88
LTG 8.50
OXC 1.84
PB 2.58
PER 335.81
TPM 7.61
VPA 0.71
XBN 5.50
NZP 4.99
ZNS 9.44

The unit cost of ASM ($/g).

LTG, lamotrigine; TPM, Topiramate; LEV, Levetiracetam; CLZ, Clonazepam; ZNS, Zonisamide; VPA, valproate; CBZ, Carbamazepine; NZP, Nitrazepam; OXC, Oxcarbazepine; LCS, lacosamide; CLB, Clobazam; VGB, Vigabatrin; PB, phenobarbital; PER, perampanel; ASM, anti-seizure medication.

TABLE 5

Group TDM Non-TDM
Seizure free Response No response Seizure free Response No response
Probability of Hospitalization 43.1% 47.5% 47.5% 20.0% 23.1% 16.7%
Numbers of Hospitalization 1.09 1.63 1.18 1.00 1.00 1.00
Days of Hospitalization 1.75 2.95 3.60 3.48 6.48 3.44
Average Daily Cost of Hospitalization ($) 219.40 295.95 206.05 142.76 101.46 173.15
Total Cost of Hospitalization ($) 179.96 384.48 420.14 99.36 151.22 101.26
Number of Outpatient 3.83 4.97 6.40 2.43 2.77 4.89
Average Cost of Consultation ($) 10.82 12.06 9.83 11.66 7.52 9.21
Average Cost of Test ($) 24.90
Average Cost of Examination ($) 22.55

Unit cost of hospitalization and outpatient.

Cost effectiveness analysis

Compared to non-TDM, TDM of PER had an ICER of $732.90 per QALY gained by increasing costs from $12275.89 to $12590.69 and increasing QALYs from 8.66 to 9.09, which was significantly lower than the $12814 per QALY gained, showing that TDM of PER was highly cost-effective in pediatric patients with epilepsy (Table 6).

TABLE 6

Analysis Cost ($) QALYS ICER ($/QALYS)
Non TDM TDM Incremental Non TDM TDM Incremental
Base case 12,275.89 12,590.69 314.80 8.66 9.09 0.43 732.91
Newly diagnosed epilepsy 12,448.09 10,862.02 (1,586.07) 8.85 9.71 0.86 Dominant
Refractory epilepsy 11,775.38 13,363.39 1,588.01 8.56 8.80 0.24 6,696.31
1-year TDM 12,189.19 12,611.53 422.34 8.67 9.08 0.42 1,012.30
1 year time horizon 2,224.35 2,484.55 260.20 1.48 1.54 0.06 4,112.92
5-year time horizon 6,614.82 6,964.91 350.08 4.59 4.83 0.24 1,480.36
10-year time horizon 10,121.84 10,464.10 342.25 7.12 7.47 0.36 957.49

Costs and effectiveness of TDM in children with epilepsy.

Notes. red parentheses represent negative numbers.

We included 240 influencing factors in the one-way sensitivity analysis and showed that days of hospitalization in the no response state and the number of hospitalizations in the response state related to the cost of hospitalization were the largest influencing factors. Figure 3 shows the factors that impact the results. Regardless of the effect of these factors on the baseline ICER, TDM is always highly cost-effective relative to non-TDM. The probability sensitivity analysis revealed that TDM of the PER had a 79.11% probability of being highly cost-effective (Figure 4).

FIGURE 3

Bar chart depicting ICER ($/QALY) values for various variables. Bars extend horizontally, with negative values on the left and positive on the right. Colors indicate below or above the ICER of base case analysis. The longer the horizontal extension, the greater the impact of the variable on the results.

The tornado diagram. The black straight line represents the willingness to pay of $732.90 per QALY gained. P represents probability, N represents number, C represents cost, “_” represents of or in, Hospital represents hospitalization, NTDM represents Non-TDM group. For example, C_Hospitalaverage_Seizure Free_NTDM means the average daily cost of hospitalization in “Seizure Free” health state in Non-TDM group. LEV, Levetiracetam; CLZ, Clonazepam; ZNS, Zonisamide; VPA, Valproate; CBZ, Carbamazepine; OXC, Oxcarbazepine; PER, Perampanel.

FIGURE 4

Line graph showing the probability of being cost-effective at willingness to pay (WTP) in dollars per QALY. Two lines are plotted: a blue line labeled "TDM" and a red line labeled "Non TDM." The blue line starts below 0.4 and rises above 0.6, while the red line starts above 0.6 and falls below 0.4. A vertical dashed line indicates WTP equals 12,814. The point where the blue and vertical lines intersect is the probability that TDM is cost-effective.

The acceptable probability curve of WTP.

The scenario analysis results are shown in Table 6. When TDM was restricted to patients with newly diagnosed epilepsy who received no other ASM, TDM was dominant, with an increased QALY of 0.86 and a decreased cost of $1,586.07. When TDM was restricted to drug-resistant epilepsy, the resulting ICER was $6,696.31 per QALY gained. Compared with continuous TDM in base case analysis, 1-year TDM had lower costs but resulted in more adverse reactions. The resulting ICER for 1-year TDM compared with the non-TDM group was $1,012.30 per QALY gained. TDM was highly cost effective over 1-, 5- and 10-year time horizons ($4,112.92, $1,480.36 and $957.49/QALY, respectively).

Discussion

Among children with epilepsy receiving PER, TDM was more effective than PER without TDM in improving seizure control. Additionally, TDM was highly cost-effective at a WTP of $12,814 per QALY gained. This finding was consistent across the one-way sensitivity analysis and scenario analysis. In children with newly diagnosed epilepsy first prescribed PER, TDM was strongly dominant.

Most studies that have focused on the TDM of PER have reported the relationship between its effectiveness and the plasma or saliva concentration (Li Y. et al., 2022; Kim et al., 2020; Yamamoto et al., 2017). However, few studies have explored the utilization of TDM in clinical settings and the impact of dosage adjustment based on TDM results on clinical outcomes. Only one study described 68 patients who received TDM due to poor seizure control but did not describe the subsequent improvement in seizure control (Lin et al., 2024). Our study is the first to report the clinical application of TDM of PER, comparing the clinical outcome between TDM and without TDM after PER prescription, which reflects the real-world use of TDM in children with epilepsy. We found that the application of TDM to PER significantly improved the clinical outcomes of children with epilepsy, increasing the 1-year seizure-free rate from 16.7% to 48.1% and decreasing the seizure frequency >50%, from 58.3% to 83.3%. The positive impact of TDM of PER on clinical outcomes may be related to factors such as the combined use of drugs affecting free concentrations (Qu et al., 2023; Yu et al., 2023) and achieving suitable maintenance doses more quickly.

Our study illustrated the economic value of TDM of the PER in children with epilepsy. We usually evaluate drugs comprehensively based on their safety, effectiveness, cost-effectiveness, affordability, innovation, suitability, and accessibility, as does TDM. A study conducted in Malaysia showed that serum level monitoring of ASMs is cost-effective, as the ICER is MRY 29,666 per patient with 3 months of seizure freedom (Salih et al., 2013). Forty-two percent of the TDM was VPA, followed by CBZ, phenytoin sodium, and PB, accounting for 38%, 12%, and 8%, respectively. With the increasing use of new ASMs, further research needs to be conducted on the TDM of PER and other new ASMs. Our study combined the Markov model and real-world data and revealed that TDM of the PER is cost-effective in children with epilepsy and deserves widespread use in the clinical setting. The sensitivity analysis confirmed that the therapeutic advantages of TDM compared to non-TDM do not impact the cost-effectiveness.

Since the findings are derived from real-world data, they come with both pros and cons. The upside is that they better reflect actual conditions, whereas the downside is the presence of confounding variables, like disease severity, that may affect the results. As refractory epilepsy has greater costs and a lower remission rate than newly diagnosed epilepsy (Begley and Durgin, 2015), we conducted a cost-effectiveness analysis to determine the sensitivity of the results by dividing patients into newly diagnosed epilepsy and refractory epilepsy groups. We found that TDM strongly dominated in children with epilepsy who received PER as initial treatment. Approximately 70% of patients with newly diagnosed epilepsy can reach seizure-free status after initial drug treatment, and 30% will develop refractory epilepsy. As the number of ASMs increases, the remission rate decreases (Chen et al., 2018). Therefore, it is crucial to achieve seizure-free status for newly diagnosed epilepsy patients at initial treatment, as TDM can increase the remission rate and reduce costs. In refractory epilepsy, the remission rate is usually very low, and the improvement of the remission rate by TDM is also very limited.

Common adverse reactions of PER include dizziness, irritability, sleepiness, and in severe cases, may lead to the discontinuation of PER in patients (D'Aniello et al., 2025). TDM can help reduce these side effects to some degree. We based our analysis on the incidence of adverse reactions in epilepsy patients undergoing TDM from prior studies (Li D. et al., 2022; Rugg-Gunn, 2014). Those studies didn't report psychiatric side effects linked to PER, and we didn't include them in our research either. This might be because psychiatric and behavioral side effects are rare in pediatric patients (1.5%) (Mammì et al., 2022), and weren't observed in the populations of previous studies. Thus, we can’t confirm if TDM can mitigate PER’s impact on neuropsychiatric side effects, suggesting the need to include a systematic monitoring of neurobehavioral symptoms in the context of TDM.

The reference range we used to interpret TDM results and guide dose adjustment was 100–1000 ng/mL. In the USA and Japan, a therapeutic range of 180–980 ng/mL is applied to patients aged >12 years old (Yamamoto et al., 2017; Gidal et al., 2014; Patsalos, 2015), while in Chinese patients aged 0–18 years old, it’s 180–610 ng/mL (Li Y. et al., 2022) or 100–1000 ng/mL (Yu et al., 2023). The therapeutic range for PER varies across countries. Future studies should focus more on the relationship between efficacy and therapeutic range for specific age groups.

There are limitations in our study. First, we used retrospective data, and some confounding factors could not be captured, such as genotype, adverse reactions, etiology of epilepsy, and the reason why TDM. This restricted our ability to analyze individual differences in response to TDM and introduce selection bias. Second, the utilities of pediatrics were not directly from real world data. Instead, they were estimated by mapping variables such as seizure frequency from SF-36, which may affect the results. However, there were few studies on TDM related quality of life in pediatrics with epilepsy. Future studies should address this gap. Third, a small and imbalanced sample size may introduce bias and impact the results. In addition, cost-effectiveness estimates for TDM of PER may not be generalizable to other ASMs or adults because the clearance of PER varies at different ages, and the effect of TDM for other ASMs may vary, especially for ASMs with multiple drug interactions (Patsalos et al., 2018). However, the results and analysis could provide a useful framework to guide the clinical use of TDM on a larger scale.

Conclusion

TDM of PER could reduce seizure frequency and is cost-effective for children with epilepsy. TDM of the PER in newly diagnosed epilepsy patients is strongly dominant because of its improvement in efficacy and reduction in cost.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by Second Affiliated Hospital of Zhejiang University, School of Medicine. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin.

Author contributions

YH: Conceptualization, Formal Analysis, Funding acquisition, Writing – original draft, Writing – review and editing. PM: Data curation, Formal Analysis, Resources, Writing – original draft, Writing – review and editing. SC: Data curation, Methodology, Software, Writing – review and editing. FM: Data curation, Methodology, Software, Writing – review and editing. SW: Data curation, Methodology, Software, Writing – review and editing. JF: Investigation, Resources, Supervision, Validation, Visualization, Writing – review and editing. JC: Data curation, Funding acquisition, Methodology, Software, Supervision, Writing – review and editing. LY: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing – review and editing. HD: Investigation, Project administration, Supervision, Validation, Visualization, Writing – review and editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Special Research Program of Pharmacoeconomics and Health Technology Assessment Committee of Zhejiang Pharmaceutical Association, China, 2023ZYJ11; and the Zhejiang Pharmaceutical Society Hospital Pharmacy Specialized Research project, 2023ZYY10, 2023ZYY08.

Conflict of interest

The authors declare that the study was conducted without any commercial or financial relationship that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1

    Anderson J. L. Heidenreich P. A. Barnett P. G. Creager M. A. Fonarow G. C. Gibbons R. J. et al (2014). ACC/AHA statement on cost/value methodology in clinical practice guidelines and performance measures: a report of the American college of cardiology/american heart association task force on performance measures and task force on practice guidelines. J. Am. Coll. Cardiol.63 (21), 23042322. 10.1016/j.jacc.2014.03.016

  • 2

    Begley C. E. Durgin T. L. (2015). The direct cost of epilepsy in the United States: a systematic review of estimates. Epilepsia56 (9), 13761387. 10.1111/epi.13084

  • 3

    Briggs A. Claxton K. Sculpher M. (2006). Decision modelling for health economic evaluation. Oxford University Press.

  • 4

    Briggs A. H. Drummond M. McGuire A. (2001). “Handling uncertainty in economic evaluation and presenting the results. Economic Evaluation Health Care: Merging Theory Practice. 10.1093/oso/9780192631770.003.0008

  • 5

    Chen Z. Brodie M. J. Liew D. Kwan P. (2018). Treatment outcomes in patients with newly diagnosed epilepsy treated with established and new antiepileptic drugs: a 30-Year longitudinal cohort study. JAMA Neurol.75 (3), 279286. 10.1001/jamaneurol.2017.3949

  • 6

    China Health Statistics Yearbook (2022). China health statistics yearbook. Available online at: http://www.nhc.gov.cn/mohwsbwstjxxzx/tjtjnj/202305/6ef68aac6bd14c1eb9375e01a0faa1fb.shtml. (Accessed February 21, 2024).

  • 7

    Chinese Pharmacoeconomic Evaluation Guidelines (2020). Chinese pharmacoeconomic evaluation guidelines. Available online at: https://www.cpa.org.cn/index.php?do=info&cid=75553. (Accessed February 20, 2024).

  • 8

    CNY Inflation Calculator (2024). CNY inflation calculator. Available online at: https://www.inflationtool.com/chinese-renminbi?amount=100&year1=2020&year2=2022&frequency=yearly. (Accessed September 5, 2024).

  • 9

    D'Aniello A. Giallonardo A. T. Tinuper P. Mecarelli O. Aguglia U. Assenza G. et al (2025). Real-world use of adjunctive perampanel for focal-onset seizures in Italy: a mirroring clinical practice study of perampanel in adults and adolescents (AMPA). Epilepsia Open. 10.1002/epi4.70068

  • 10

    Drummond M. McGuire A. (2001). Economic evaluation in health care: merging theory with practice. Oxford University Press.

  • 11

    Drummond M. E. Sculpher M. J. Torrance G. W. O’Brien B. J. Stoddart G. L. (2005). Methods for the economic evaluation of health care programmes. Oxford University Press.

  • 12

    Exchange Rate (2024). Exchange rate. Available online at: https://www.exchange-rates.org/zh/. (Accessed September 5, 2024).

  • 13

    Fisher R. S. Acevedo C. Arzimanoglou A. Bogacz A. Cross J. H. Elger C. E. et al (2014). ILAE official report: a practical clinical definition of epilepsy. Epilepsia55 (4), 475482. 10.1111/epi.12550

  • 14

    Flint I. Medjedovic J. Drogon O. Flaherty E. Alvarez-Baron E. Thangavelu K. et al (2023). Mapping analysis to predict SF-6D utilities from health outcomes in people with focal epilepsy. Eur. J. Health Econ.24 (7), 10611072. 10.1007/s10198-022-01519-w

  • 15

    Franco V. Marchiselli R. Fattore C. Tartara E. De Sarro G. Russo E. et al (2016). Development and validation of an HPLC-UV assay for the therapeutic monitoring of the new antiepileptic drug perampanel in human plasma. Ther. Drug Monit.38 (6), 744750. 10.1097/FTD.0000000000000350

  • 16

    Gao L. Xia L. Pan S. Q. Xiong T. Li S. C. (2015). Health-related quality of life and willingness to pay per quality-adjusted life-year Threshold-A study in patients with epilepsy in China. Value Health Reg. Issues6, 8997. 10.1016/j.vhri.2015.03.019

  • 17

    Gidal B. E. Ferry J. Majid O. Hussein Z. (2013). Concentration-effect relationships with perampanel in patients with pharmacoresistant partial-onset seizures. Epilepsia54 (8), 14901497. 10.1111/epi.12240

  • 18

    Gidal B. E. Majid O. Ferry J. Hussein Z. Yang H. Zhu J. et al (2014). The practical impact of altered dosing on perampanel plasma concentrations: pharmacokinetic modeling from clinical studies. Epilepsy Behav.35, 612. 10.1016/j.yebeh.2014.03.013

  • 19

    Hou L. Yang J. Zhang X. Li N. Li S. Zhang L. et al (2023). Efficacy and tolerability of perampanel in patients with seizures in real-world clinical practice: a systematic review and meta-analysis. Front. Pharmacol.14, 1139514. 10.3389/fphar.2023.1139514

  • 20

    Italiano D. Perucca E. (2013). Clinical pharmacokinetics of new-generation antiepileptic drugs at the extremes of age: an update. Clin. Pharmacokinet.52 (8), 627645. 10.1007/s40262-013-0067-4

  • 21

    Kim D. Y. Moon J. Shin Y. W. Lee S. T. Jung K. H. Park K. I. et al (2020). Usefulness of saliva for perampanel therapeutic drug monitoring. Epilepsia61 (6), 11201128. 10.1111/epi.16513

  • 22

    Krauss G. L. Klein P. Brandt C. Lee S. K. Milanov I. Milovanovic M. et al (2020). Safety and efficacy of adjunctive cenobamate (YKP3089) in patients with uncontrolled focal seizures: a multicentre, double-blind, randomised, placebo-controlled, dose-response trial. Lancet Neurol.19 (1), 3848. 10.1016/S1474-4422(19)30399-0

  • 23

    Krauss G. L. Serratosa J. M. Villanueva V. Endziniene M. Hong Z. French J. et al (2012). Randomized phase III study 306: adjunctive perampanel for refractory partial-onset seizures. Neurology78 (18), 14081415. 10.1212/WNL.0b013e318254473a

  • 24

    Kvamme M. K. Gyrd-Hansen D. Olsen J. A. Kristiansen I. S. (2010). Increasing marginal utility of small increases in life-expectancy? Results from a population survey. J. Health Econ.29 (4), 541548. 10.1016/j.jhealeco.2010.03.010

  • 25

    Laskier V. Agyei-Kyeremateng K. K. Eddy A. E. Patel D. Mulheron S. James S. et al (2023). Cost-effectiveness of cenobamate for focal seizures in people with drug-resistant epilepsy. Epilepsia64 (4), 843856. 10.1111/epi.17506

  • 26

    Li D. Huang S. Wang X. Yang L. Song T. (2022). Efficacy and adverse reactions of perampanel in the treatment of epilepsy in children. Front. Neurol.13, 924057. 10.3389/fneur.2022.924057

  • 27

    Li Y. Y. Dong N. Qin Y. X. Dai H. R. Hu Y. H. Zhao Y. T. et al (2022). Therapeutic drug monitoring of perampanel in children diagnosed with epilepsy: focus on influencing factors on the plasma concentration-to-dose ratio. Epilepsia Open7 (4), 737746. 10.1002/epi4.12653

  • 28

    Lin C. Y. Chang C. W. Tseng W. J. Wu T. Cheng M. Y. Lee C. H. et al (2024). Therapeutic drug monitoring of perampanel: clinical utility and impact of co-medication on pharmacokinetic variability. Heliyon10 (1), e23962. 10.1016/j.heliyon.2023.e23962

  • 29

    Lin K. L. Lin J. J. Chou M. L. Hung P. C. Hsieh M. Y. Chou I. J. et al (2018). Efficacy and tolerability of perampanel in children and adolescents with pharmacoresistant epilepsy: the first real-world evaluation in Asian pediatric neurology clinics. Epilepsy Behav.85, 188194. 10.1016/j.yebeh.2018.06.033

  • 30

    Ma M. Peng Q. Gu X. Hu Y. Sun S. Sheng Y. et al (2019). Pharmacist impact on adherence of valproic acid therapy in pediatric patients with epilepsy using active education techniques. Epilepsy Behav.98 (Pt A), 1418. 10.1016/j.yebeh.2019.06.003

  • 31

    Mammì A. Ferlazzo E. Gasparini S. Bova V. Neri S. Labate A. et al (2022). Psychiatric and behavioural side effects associated with perampanel in patients with temporal lobe epilepsy. A real-world experience. Front. Neurol.13, 839985. 10.3389/fneur.2022.839985

  • 32

    Meneghello A. Tartaggia S. Alvau M. D. Polo F. Toffoli G. (2018). Biosensing technologies for therapeutic drug monitoring. Curr. Med. Chem.25 (34), 43544377. 10.2174/0929867324666170720101736

  • 33

    Patsalos P. N. (2015). The clinical pharmacology profile of the new antiepileptic drug perampanel: a novel noncompetitive AMPA receptor antagonist. Epilepsia56 (1), 1227. 10.1111/epi.12865

  • 34

    Patsalos P. N. Spencer E. P. Berry D. J. (2018). Therapeutic drug monitoring of antiepileptic drugs in epilepsy: a 2018 update. Ther. Drug Monit.40 (5), 526548. 10.1097/FTD.0000000000000546

  • 35

    Qu R. Dai Y. Zhu Z. Lu X. Zhou R. Qu X. et al (2023). Therapeutic drug monitoring of perampanel in children with refractory epilepsy: focus on influencing factors on the free-perampanel concentration. Ther. Drug Monit.45 (5), 660667. 10.1097/FTD.0000000000001101

  • 36

    Rugg-Gunn F. (2014). Adverse effects and safety profile of perampanel: a review of pooled data. Epilepsia55 (Suppl. 1), 1315. 10.1111/epi.12504

  • 37

    Salih M. R. Bahari M. B. Shafie A. A. Hassali M. A. Al-Lela O. Q. Abd A. Y. et al (2013). Cost-effectiveness analysis for the use of serum antiepileptic drug level monitoring in children diagnosed with structural-metabolic epilepsy. Epilepsy Res.104 (1-2), 151157. 10.1016/j.eplepsyres.2012.09.012

  • 38

    Steinhoff B. J. Hübers E. Kurth C. Jürges Kehl-Kork U. (2019). Plasma concentration and clinical effects of perampanel-the kork experience. Seizure67, 1822. 10.1016/j.seizure.2019.02.022

  • 39

    Yamamoto T. Lim S. C. Ninomiya H. Kubota Y. Shin W. C. Kim D. W. et al (2020). Efficacy and safety of perampanel monotherapy in patients with focal-onset seizures with newly diagnosed epilepsy or recurrence of epilepsy after a period of remission: the open-label study 342 (FREEDOM study). Epilepsia Open5 (2), 274284. 10.1002/epi4.12398

  • 40

    Yamamoto Y. Usui N. Nishida T. Takahashi Y. Imai K. Kagawa Y. et al (2017). Therapeutic drug monitoring for perampanel in Japanese epilepsy patients: influence of concomitant antiepileptic drugs. Ther. Drug Monit.39 (4), 446449. 10.1097/FTD.0000000000000416

  • 41

    Yu L. Chen M. Liu J. Yu Z. Feng J. Dai H. (2023). Initial therapeutic target attainment of perampanel in pediatric patients with epilepsy. Front. Pharmacol.14, 1209815. 10.3389/fphar.2023.1209815

Summary

Keywords

therapeutic drug monitoring, cost-effectiveness, pediatrics, efficacy, epilepsy, perampanel (PER)

Citation

Hu Y, Miao P, Chen S, Mao F, Wang S, Feng J, Chen J, Yu L and Dai H (2025) Cost-effectiveness of therapeutic drug monitoring of perampanel for pediatrics with epilepsy: real-world data. Front. Pharmacol. 16:1549069. doi: 10.3389/fphar.2025.1549069

Received

23 December 2024

Accepted

20 June 2025

Published

30 June 2025

Volume

16 - 2025

Edited by

Ren-ai Xu, First Affiliated Hospital of Wenzhou Medical University, China

Reviewed by

Francesca Felicia Operto, University of Salerno, Italy

Yotin Chinvarun, Phramongkutklao Hospital, Thailand

Umberto Aguglia, University Magna Graecia, Italy

Yang Xu, First Affiliated Hospital of Wannan Medical College, China

Updates

Copyright

*Correspondence: Haibin Dai, ; Lingyan Yu,

†These authors have contributed equally to this work and share first authorship

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics