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

이용수

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

초록· 키워드

오류제보하기
Background: New 2-dimensional strain echocardiography enables quantification of right ventricular (RV) mechanics byassessing global longitudinal strain of RV (GLSRV) in patients with pulmonary arterial hypertension (PAH). However, theprognostic significance of impaired GLSRV is unclear in these patients. Methods: Comprehensive echocardiography was performed in 51 consecutive PAH patients without atrial fibrillation (40females, 48 ± 14 years old) with long-term follow-up. GLSRV was measured with off-line with velocity vector imaging (VVI,Siemens Medical System, Mountain View, CA, USA). Results: GLSRV showed significant correlation with RV fractional area change (r = -0.606, p < 0.001), tricuspid annular planesystolic excursion (r = -0.579, p < 0.001), and RV Tei index (r = 0.590, p < 0.001). It showed significant correlations with pulmonaryvascular resistance (r = 0.469, p = 0.001) and B-natriuretic peptide concentration (r = 0.351, p = 0.012). During a clinical followuptime (45 ± 15 months), 20 patients experienced one or more adverse events (12 death, 2 lung transplantation, and 15 heartfailure hospitalization). After multivariate analysis, age [hazard ratio (HR) = 2.343, p = 0.040] and GLSRV (HR = 2.122, p =0.040) were associated with adverse clinical events. Age (HR = 3.200, p = 0.016) and GLSRV (HR = 2.090, p = 0.042) were alsosignificant predictors of death. Impaired GLSRV (≥ -15.5%) was associated with lower event-free survival (HR = 4.906, p = 0.001)and increased mortality (HR = 8.842, p = 0.005). Conclusion: GLSRV by VVI showed significant correlations with conventional echocardiographic parameters indicating RVsystolic function. Lower GLSRV (≥ -15.5%) was significantly associated with presence of adverse clinical events and deaths inPAH patients.

목차

등록된 정보가 없습니다.

참고문헌 (28)

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