Evidence of Sex-Related Pharmacodynamic Differences in Photosensitive Epilepsy Treated with Valproate: Findings from a Retrospective, Observational, Single-Center, Within-Patient, Cohort Study.

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Dorothee Kasteleijn-Nolst Trenité, Ronald C Reed, Alessandro Ferretti, Anteo Di Napoli, Pasquale Parisi
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引用次数: 0

Abstract

Background and objective: Sexual dimorphism in drug efficacy, beyond pharmacokinetics (PK), remains underexplored. Significant sex differences exist in drug metabolism and adverse events, highlighting the need for personalized medicine. The objective of our study was to assess whether there are sex differences in the pharmacodynamic (PD) response to valproic acid (VPA) in photosensitive epilepsy, focusing on electroencephalographic (EEG) biomarkers (e.g., photoparoxysmal response [PPR] raw data and transformed PPR data, the standardized photosensitivity range [SPR]) that cannot be attributed to pharmacokinetics alone. On the basis of some exploratory published evidence plus our own clinical observations of VPA treatment in patients with epilepsy plus photosensitivity over time, we hypothesized that an EEG pharmacodynamic difference might exist between females and males.

Methods: We conducted a retrospective, observational, single-center, within-patient EEG cohort study conducted on antiseizure medicine (ASM)-naïve photosensitive individuals before and after VPA treatment (nonrandomized). The data we reviewed had been collected from a referral hospital in the Netherlands from 1990 to 2000. Changes in EEG data, including raw PPR data (transformed into SPR), were analyzed before and after VPA therapy in 48 patients, including 27 females and 21 males, ranging in age from 8 to 50 years old for the entire cohort. Co-primary outcomes included a between-sex comparison in the distribution of within-patient SPR changes from pre-VPA to steady-state VPA therapy, and complete PPR elimination on EEG. Secondary outcomes included the comparison of percentage of males and females meaningfully responding to VPA across SPR change categories, VPA dose, potential impact of plasma [VPA] concentrations on SPR changes, and associaton of patient age with SPR values. Statistical analyses included univariate linear regression models, chi-squared tests, non-parametric Wilcoxon-Mann-Whitney tests, and Fisher's exact tests.

Results: Our first co-primary outcome revealed a statistically significant difference in the distribution of within-patient SPR changes from pre-VPA to steady-state VPA therapy. Males experienced a significantly greater reduction in SPR compared with females. The mean decrease in SPR was -7.0 ± 2.6 in males only versus -3.9 ± 3.3 in females only (p = 0.0018). The next co-primary outcome, the percent of patients with complete PPR elimination, or a SPR value = 0 on second EEG, was observed in ten (47.6%) males compared with four (14.8%) females, a 3.2-fold difference (p = 0.0237). One secondary outcome, the percentage of males with a VPA clinically meaningful to optimal response was 1.93-fold greater than females, at 100:51.8%, respectively (p < 0.0001). Between-sex VPA total daily milligram dose did not differ. Plasma [VPA] concentrations, although nearly twice as high in females, were not statistically different between sexes and [VPA] did not correlate with SPR changes in females.

Conclusions: In our mixed-age population of pediatric, adolescent, and younger adults, significant sex differences were observed in the response of the PD EEG biomarkers, the PPR and SPR, to VPA for both primary outcomes. Males showed both a statistically greater reduction in EEG SPR and a statistically higher percent elimination of PPR on EEG with chronic VPA treatment compared with females. The percent of males having a clinically meaningful EEG SPR response to VPA, a secondary outcome, was almost two-fold greater for males compared with females. These findings emphasize the importance of considering sex in treatment planning and suggest that inherent biological differences may influence drug efficacy, advocating for further research to enhance personalized medical strategies.

丙戊酸治疗光敏性癫痫的性别相关药效学差异的证据:来自回顾性、观察性、单中心、患者内、队列研究的发现。
背景与目的:除药代动力学(PK)外,性别二态性对药物疗效的影响仍未得到充分研究。在药物代谢和不良事件方面存在显著的性别差异,突出了个性化医疗的必要性。本研究的目的是评估光敏性癫痫患者对丙戊酸(VPA)的药效学(PD)反应是否存在性别差异,重点关注脑电图(EEG)生物标志物(如光性发作反应[PPR]原始数据和转化后的PPR数据,标准化光敏范围[SPR]),这些生物标志物不能单独归因于药代动力学。根据一些已发表的探索性证据以及我们自己对癫痫合并光敏性患者的VPA治疗的临床观察,我们假设女性和男性之间可能存在脑电图药效学差异。方法:我们对抗癫痫药物(ASM)-naïve光敏个体在VPA治疗前后(非随机)进行回顾性、观察性、单中心、患者内脑电图队列研究。我们审查的数据是从1990年至2000年在荷兰的一家转诊医院收集的。分析48例患者在VPA治疗前后脑电图数据的变化,包括原始PPR数据(转化为SPR),其中女性27例,男性21例,整个队列的年龄从8岁到50岁不等。共同主要结局包括从VPA前到稳定状态VPA治疗期间患者内部SPR变化分布的性别比较,以及脑电图上PPR完全消除。次要结局包括在不同SPR变化类别、VPA剂量、血浆[VPA]浓度对SPR变化的潜在影响以及患者年龄与SPR值的关联方面,对VPA有显著反应的男性和女性百分比的比较。统计分析包括单变量线性回归模型、卡方检验、非参数Wilcoxon-Mann-Whitney检验和Fisher精确检验。结果:我们的第一个共同主要结果显示,从VPA前到稳定状态VPA治疗,患者内部SPR变化的分布具有统计学意义。与雌性相比,雄性的SPR显著降低。男性SPR平均下降-7.0±2.6,女性SPR平均下降-3.9±3.3 (p = 0.0018)。下一个共同主要结局,即第二次脑电图SPR值为0的PPR完全消除患者的百分比,在10名男性(47.6%)和4名女性(14.8%)中观察到,差异为3.2倍(p = 0.0237)。一个次要终点,VPA临床意义上达到最佳缓解的男性比例是女性的1.93倍,分别为100:51.8% (p < 0.0001)。两性间VPA总每日毫克剂量没有差异。血浆[VPA]浓度虽然在女性中几乎是两倍高,但在性别之间没有统计学差异,[VPA]与女性的SPR变化无关。结论:在我们的儿童、青少年和年轻人的混合年龄人群中,在PD脑电图生物标志物PPR和SPR对VPA的两种主要结局的反应中,观察到显著的性别差异。与女性相比,男性在慢性VPA治疗中脑电图SPR的降低和脑电图PPR的消除率均有统计学意义上的提高。男性对VPA(次要结果)有临床意义的EEG SPR反应的百分比几乎是女性的两倍。这些发现强调了在治疗计划中考虑性别的重要性,并表明固有的生物学差异可能会影响药物疗效,提倡进一步研究以增强个性化的医疗策略。
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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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