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
Hyung-Joon Joo (Inje University) Gyu Hong Shim (Inje University)
저널정보
대한신생아학회 Neonatal medicine Neonatal medicine 제29권 제1호
발행연도
2022.2
수록면
46 - 54 (9page)
DOI
https://doi.org/10.5385/nm.2022.29.1.46

이용수

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

초록· 키워드

오류제보하기
Purpose: The study aimed to examine whether prophylactic surfactant replacement therapy (SRT) with less invasive surfactant administration (LISA) by tracheal catheterization in a group of spontaneously breathing preterm infants would improve clinical outcomes compared to prophylactic SRT with the INtubation-SURfactant-Extubation (INSURE) method. Methods: We compared 20 spontaneously breathing preterm infants, 25 to 29 weeks of gestation or with a birth weight of less than 1,250 g, treated with prophylactic SRT using a gastric tube (LISA group), to the 20 spontaneously breathing preterm infants matched by gestational age and birth weight, managed with prophylactic SRT via the INSURE method (INSURE group, historical control). Results: The LISA group had lower rates of mechanical ventilation (MV) 72 hours after birth (P=0.019) and at any time (P=0.025), lower frequency of bradycardia during SRT (P=0.031), and lower median duration of MV than the INSURE group (P=0.038). In multivariate analysis, the LISA method was associated with a significantly lower likelihood of receiving invasive ventilation during hospitalization (odds ratio [OR], 0.029; 95% confidence interval [CI], 0.001 to 0.938; P=0.046) and a decreased frequency of bradycardia during SRT (OR, 0.020; 95% CI, 0.001 to 0.535; P=0.020) as compared to the INSURE method. Conclusion: Prophylactic SRT using LISA via tracheal catheterization in preterm infants may significantly reduce exposure to MV during hospitalization and bradycardia during surfactant administration.

목차

등록된 정보가 없습니다.

참고문헌 (0)

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