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
Cardiovascular events (CVEs) represent the leading cause of mortality in patients undergoing maintenance hemodialysis (MHD), particularly among older individuals with comorbid hypertension. While muscle volume and muscle density have emerged as promising markers associated with cardiovascular risk, their independent and synergistic roles in MHD patients remain insufficiently explored. In this cross-sectional study, a total of 391MHD patients from Taizhou People’s Hospital were enrolled. Skeletal muscle volume and density were quantified using axial computed tomography (CT) scans at the level of the first lumbar vertebra (L1), with image analysis performed via 3D Slicer software. Logistic regression analysis was applied to evaluate the associations between muscle-related parameters, age, hypertension, and CVEs. Model performance was assessed using receiver operating characteristic (ROC) curves and calibration plots. Patients who experienced CVEs exhibited significantly lower skeletal muscle volume and density, along with higher prevalence of hypertension and diabetes (all P < 0.05). In multivariable logistic regression, both muscle volume [odds ratio (OR) per 1 SD = 0.60, P < 0.01] and muscle density (OR per 1 SD = 0.65, P = 0.016) were independently associated with reduced risk of CVEs. The model showed good discrimination [area under the curve (AUC) ≈ 0.82] and acceptable calibration. Skeletal muscle health—particularly higher muscle density—was associated with lower odds of CVEs in MHD patients. These findings support incorporating muscle quality metrics (e.g., density) into cardiovascular risk assessment, especially in older and hypertensive subgroups.
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.
최근 본 자료 전체보기
