实时监测抗癫痫药物丙戊酸使用一种新的护理点质谱

IF 5 1区 医学 Q1 NEUROSCIENCES
Xinqi Fang, Junhan Wu, Yuan Hong, Jiexun Bu, Wenpeng Zhang, Zheng Ouyang, Wei Hua, Ying Mao
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引用次数: 0

摘要

为了提高抗癫痫药物监测的及时性和准确性,我们开发了一种实时定量丙戊酸(VPA)的护理点质谱(PoC MS),作为优化围手术期管理的范例。方法PoC质谱联用技术采用微型质谱联用、纸毛细管喷雾联用和选择性离子分离联用技术。共对119份血样进行VPA定量分析。12对血清和全血样本建立了等效校正模型。采用液相色谱-质谱法(LC-MS)和酶倍免疫分析法(EMIT)对50份全血样本进行分析。对9例患者在不同时间点采集的45份样本进行验证队列分析,监测围手术期VPA浓度动态。结果选择性离子分离可将信号强度提高3倍,并可在3 min内将VPA定量降至10 μg/mL,具有明显的速度优势。校正模型显示全血浓度与血清浓度吻合良好(R2 = 0.978)。VPA的PoC MS测量值与LC-MS (r = 0.990,偏差= 0.16%)和EMIT (r = 0.988,偏差= 5.4%)接近。在临床中,VPA水平在患者之间变化高达15倍,床边PoC MS可以描述动态VPA浓度谱,患者内部波动平均为26%,从而支持药物监测和治疗决策。结论PoC MS能够快速、准确、耐受基质的全血VPA床边监测,支持个性化抗癫痫治疗和实时临床决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Real-Time Monitoring of the Antiseizure Drug Valproic Acid Using a Novel Point-Of-Care Mass Spectrometry

Real-Time Monitoring of the Antiseizure Drug Valproic Acid Using a Novel Point-Of-Care Mass Spectrometry

Aims

To improve the timeliness and accuracy of anti-epilepsy drug monitoring, we developed a point-of-care mass spectrometry (PoC MS) for real-time quantification of valproic acid (VPA), as a paradigm for optimizing perioperative management.

Methods

The PoC MS integrates a miniature mass spectrometer, paper capillary spray, and selective ion isolation. A total of 119 blood samples were analyzed for VPA quantification. An equivalent calibration model was established with 12 paired serum and whole blood samples. Analytical performance was benchmarked against liquid chromatography-mass spectrometry (LC–MS) and enzyme multiplied immunoassay technique (EMIT) with 50 whole blood samples. A validation cohort of 45 samples collected at different time points from 9 patients was analyzed to monitor perioperative VPA concentration dynamics.

Results

Selective ion isolation could improve signal intensity by threefold and enable VPA quantification down to 10 μg/mL within 3 min, demonstrating a clear speed advantage over other methods. The calibration model showed excellent agreement between whole blood and serum concentrations (R2 = 0.978). PoC MS measurements of VPA closely matched LC–MS (r = 0.990, bias = 0.16%) and EMIT (r = 0.988, bias = 5.4%). In clinic, VPA level varied by up to 15-fold across patients, and bedside PoC MS could depict dynamic VPA concentration profiles, with intra-patient fluctuations averaging 26%, thereby supporting drug monitoring and therapeutic decision-making.

Conclusion

PoC MS could enable rapid, accurate, and matrix-tolerant bedside monitoring of VPA from whole blood, supporting personalized antiseizure therapy and real-time clinical decision.

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来源期刊
CNS Neuroscience & Therapeutics
CNS Neuroscience & Therapeutics 医学-神经科学
CiteScore
7.30
自引率
12.70%
发文量
240
审稿时长
2 months
期刊介绍: CNS Neuroscience & Therapeutics provides a medium for rapid publication of original clinical, experimental, and translational research papers, timely reviews and reports of novel findings of therapeutic relevance to the central nervous system, as well as papers related to clinical pharmacology, drug development and novel methodologies for drug evaluation. The journal focuses on neurological and psychiatric diseases such as stroke, Parkinson’s disease, Alzheimer’s disease, depression, schizophrenia, epilepsy, and drug abuse.
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