Chrome Extension
WeChat Mini Program
Use on ChatGLM

Fingerprick Volumetric Absorptive Microsampling for Therapeutic Drug Monitoring of Antiseizure Medications: Reliability and Real-Life Feasibility in Epilepsy Patients.

Journal of Pharmaceutical and Biomedical Analysis(2024)SCI 3区SCI 2区

IRCCS Ist Sci Neurol Bologna | Dept Biomed & Neuromotor Sci | Univ Bologna

Cited 0|Views10
Abstract
Volumetric absorptive microsampling (VAMS) is increasingly proposed as a clinically reliable therapeutic drug monitoring (TDM) sampling methodology. The study aimed to establish the reliability and real-life feasibility of patient self-collected capillary VAMS for TDM of antiseizure medication (ASMs), using plasma ASMs concentrations from venous blood as a reference standard. Nurses collected venous and capillary blood samples using VAMS. Afterward, persons with epilepsy (PWE) performed VAMS sampling by themselves. All samples were analyzed by UHPLC-MS/MS. We performed a cross-validation study, comparing ASMs concentrations obtained by VAMS nurses and patients' self-collected versus plasma through Bland-Altman analysis and Passing-Bablok regression. We enrolled 301 PWE (M: F 42.5%:57.5%; mean age 44±16 years), treated with 13 ASMs, providing a total of 464 measurements. Statistical analysis comparing VAMS self-collected versus plasma ASMs concentrations showed a bias close to zero and slope and intercept values indicating a good agreement for CBZ, LCS, LEV, LTG, OXC, PB, and PHT, while a systematic difference between the two methods was found for VPA, PMP, TPM and ZNS. This is the first study showing the reliability and feasibility of the real-world application of PWE self-collected VAMS for most of the ASMs considered, giving a promising basis for at-home VAMS applications.
More
Translated text
Key words
Volumetric absorptive microsampling (VAMS),Therapeutic drug monitoring (TDM),Microsampling,Antiseizure medication (ASMs),Cross-validation study
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:研究验证了患者自采集的指尖微量吸收采样(VAMS)方法在监测抗癫痫药物(ASMs)治疗药物浓度的可靠性和实际应用可行性,发现大部分药物浓度与静脉血结果高度一致。

方法】:通过交叉验证研究,使用高效液相色谱-串联质谱(UHPLC-MS/MS)分析,比较了VAMS护士采集和患者自采集样本与静脉血样本中的ASMs浓度。

实验】:共招募了301名癫痫患者,提供了464次测量,通过Bland-Altman分析和Passing-Bablok回归,结果显示大部分药物浓度一致性良好,但对于VPA、PMP、TPM和ZNS存在系统性差异。