인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Objectives Advanced heart failure is the last stage of heart failure in which the life expectancy of patients is significantly reduced. Many mortality markers have been identified in advanced heart failure. Although the nesfatin-1 molecule is known as a satiety hormone, it has also been shown to be associated with many cardiovascular diseases. This study aims to elucidate the association between in-hospital mortality and nesfatin-1 level in advanced heart failure patients. Methods The research included 74 cases of advanced heart failure. During the coronary intensive care surveillance of these patients, 22 patients had in-hospital mortality. The cases, divided into groups with and without in-hospital mortality, were compared using laboratory data, echocardiography, and demographic properties. Results The age of the cases with in-hospital mortality was older than the cases without mortality [(74 (66–95) vs. 67 (26–90); p=0.019)]. Serum nesfatin-1 level and tricuspid annular plane systolic excursion (TAPSE) were statistically lower in the in-hospital mortality group (43.8 ± 5.5 vs. 40.5 ± 6.1; p=0.027, 13.5 ± 1.9 vs. 16.2 ± 2.6 p=0.001, respectively). Serum nesfatin-1 level and TAPSE were detected as independent predictors for in-hospital mortality in advanced heart failure via multivariate analysis using parameters that were significant in the univariate analysis. Receiver operator characteristic curve analysis showed that the optimum cut-off level for nesfatin-1 in determining in-hospital mortality was ≤23.57 (pg/mL) with a specificity of 73.1 % and a sensitivity of 77.3 % (AUC=0.763, 95 % CI=0.647–0.879, p<0.001). Conclusions This research revealed that in advanced heart failure patients, serum nesfatin-1 amounts are associated with mortality and seem to be an independent predictor of mortality.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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