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
대한산부인과학회 Obstetrics & Gynecology Science Obstetrics & Gynecology Science 제62권 제5호
발행연도
2019.1
수록면
313 - 321 (9page)

이용수

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

초록· 키워드

오류제보하기
ObjectiveTo determine whether vaginal application of 40 mg isosorbide-5-mononitrate (ISMN) has a comparable cervicalripening efficacy to and lesser side effects than 400 μg misoprostol in women scheduled for the first trimester inducedabortion using a manual vacuum aspirator (MVA). MethodsWe conducted a prospective randomized open-label study in 70 women at 6–12 weeks of pregnancy at the R G KarMedical College and Hospital, Kolkata, India, over a period of two years from 2015 to 2017. Forty milligrams of ISMNand 400 μg misoprostol were vaginally applied for cervical priming. The primary outcome measure was the cervicalresponse assessed by the passage of the appropriate and largest sized MVA cannula through the internal os withoutresistance, at the beginning of the procedure. ResultsThe base line cervical dilatation was found to be significantly higher in the misoprostol group than in the ISMN group(7.65±1.38 vs. 6.9±1.26 mm; P=0.025, 95% confidence interval, −1.4046 to −0.953). However, when the women weresub-analyzed based on parity, there was no statistically significant difference in the same parameters among themultigravid women. The need for further cervical dilatation was significantly higher in the ISMN group when theprimigravid women were compared, although the multigravid women responded favorably to ISMN. ConclusionIn the primigravid women, misoprostol appears to exert a higher efficacy as a cervical ripening agent in contrast toISMN. However, ISMN can be used in multigravid women for the same purpose as in this group, misoprostol did notshow any significant improvement in efficacy over ISMN.

목차

등록된 정보가 없습니다.

참고문헌 (22)

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