Nortriptyline 적정 용법을 위한 Population Pharmacokinetics 및 Bayesian Feedback법의 적용

• 영문명: Population Pharmacokinetics and Bayesian Feedback Method for Nortriptyline Dosage Optimisation
• 발행기관: 대한신경정신의학회
• 저자명: 신상구 우종인 장인진 박찬웅 김재진 홍진표 이경훈
• 간행물 정보: 『신경정신의학』제31권 제5호, 884~894쪽, 전체 11쪽
• 주제분류: 의약학 > 정신과학
• 파일형태: PDF
• 발행일자: 1992.09.30

영문 초록

The prediction performance of population kinetics and Bayesian feedback method was evaluated with respect to accuracy, bias, correlation in 18 norm al subject and 29 patients treated with nortriptyline. The root mean squared error (RM SE) served as a precision. To obtain the population kinetic param eter o f nortriptyline in native Korean, NONMEM approach which including structural and statistical kinetic model was used in analysing the 250 plasma level data from 18 norm al subjects after single oral dose of 50mg. The results obtained from the approach using population kinetics-Bayesian feedback method indicate that the future nortriptyline plasma concentration could be predicted with relatively high accuracy(34.9ng/ml) and preccision(RMSE ; 25.6%) with a single measurement of plasm a nortriptyline level after the nortriptyline dose. The accurary(23.3ng/ml) and precision (RMSE ; 15.5%) of the prediction were much more imporved with two-point measurements of plasm a nortriptyline level. In conclusion, feedback approach based on the population kinetic parameters seems to be accurate and reliable for predicting individual dosage requirements in patients treated with nortriptyline.

목차

서 론

연구대상 및 방법

결 과

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요 약

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