메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
대한신생아학회 Neonatal medicine Neonatal medicine 제24권 제1호
발행연도
2017.1
수록면
20 - 25 (6page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Purpose: Caffeine shows wide interindividual pharmacokinetic (PK) variation, and therapeutic drug monitoring (TDM) may be needed. The PK profile of caffeine in Korean preterm neonates was investigated, and factors influencing the clearance of caffeine were analyzed. Methods: Fifty-nine preterm neonates receiving caffeine for apnea of prematurity were enrolled in the study (gestational age, 29.5±2.2 weeks and birth weight [BW], 1,318±358 g). Caffeine (20 mg/kg) was intravenously administered to each neonate as a loading dose, followed by a maintenance dose of 5-10 mg/kg/d. A total of 190 serum concentrations were measured for population PK analysis and modeling using nonlinear mixed-effects model (NONMEM®) software. Results: The mean serum concentration of caffeine was 15.4±4.5 mg/L (range 7.8- 33.0 mg/L). High serum concentrations (>20 mg/L) were noted in 36 samples (29%). At the first measurement of serum caffeine, the mean postmenstrual age was 33.9±2.3 weeks, mean BW was 1,802±471 g, mean duration of treatment was 7.4±9.4 days, and mean sampling time after the last dose was 21.8±2.1 hours. In the population PK analysis, the clearance was 0.033 L/h and volume of distribution was 0.371 L. Typical clearance was calculated as 0.0293×(BW/70)1.33. Among the subjects receiving 5 mg/kg/d caffeine, the most significant risk factor associated with high serum concentrations (>20 mg/L) was low BW (P=0.024). Conclusion: BW was the only covariate that influenced caffeine clearance in preterm neonates. Preterm neonates with low BW should be carefully monitored for apnea and adverse reactions in addition to undergoing TDM.

목차

등록된 정보가 없습니다.

참고문헌 (27)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0