인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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 Background Cardiovascular disease (CVD) is a major complication in patients on maintenance hemodialysis (MHD). While the effect of left ventricular dysfunction on patients on MHD is well known, the association between right ventricular (RV) dysfunction and their prognosis remains poorly understood. Methods We conducted a retrospective cohort study of 149 patients on MHD (median age, 72 years; male, 67%) between 1 April 2022 and 31 March 2024. All subjects underwent transthoracic two-dimensional and Doppler echocardiographic examination. RV dysfunction was determined when the tricuspid annular plane systolic excursion (TAPSE) was under 16 mm. Kaplan–Meier survival analysis was used to compare survival between patients with and without RV dysfunction. Multivariate Cox regression analyses were used to estimate the effects of RV dysfunction on all-cause mortality, including the effect of confounding factors such as age, sex, previous CVD events, and left ventricular (LV) dysfunction. Results In total, 20 out of 149 patients on MHD (13%) had RV dysfunction. Indexes of their LV function (such as the LV ejection fraction and E/e' ratio) were similar to those of patients without RV dysfunction. During the follow-up period, 23 patients died (7 with RV dysfunction [without LV dysfunction], 3 with LV dysfunction [without RV dysfunction], 2 with biventricular dysfunction, and 11 without any ventricular dysfunction). Kaplan–Meier analyses showed significantly lower survival among patients with RV dysfunction ( p < 0.01). The multivariate Cox regression analysis revealed that RV dysfunction (without LV dysfunction) was independently associated with all-cause mortality (hazard ratio: 3.44; 95% confidence interval: 1.28–9.23) after adjusting for confounders. Conclusions RV dysfunction is a significant risk factor for all-cause mortality among patients on MHD.
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.