Affiliation:
1. Hanyang University Medical Center
2. Konkuk University School of Medicine
Abstract
Abstract
We aimed to examine the relationship between abdominal computed tomography (CT)-based body composition data and both renal function decline and all-cause mortality in patients with non-dialysis chronic kidney disease (CKD). This retrospective study comprised non-dialysis CKD patients who underwent consecutive unenhanced abdominal CT between January 2010 and December 2011. CT-based body composition was measured using semiautomated method that included visceral fat, subcutaneous fat, skeletal muscle area and density, and abdominal aortic calcium score (AAS). Risk factors for CKD progression and survival were identified using logistic regression and Cox proportional hazard regression models. Survival between groups based on myosteatosis and AAS was compared using the Kaplan–Meier curve. 149 patients (median age: 70 years) were included; 79 (53.0%) patients had sarcopenia and 112 (75.2%) had myosteatosis. The median AAS was 560.9 (interquartile range: 55.7–1478.3)/m2. The prognostic factors for CKD progression were myosteatosis (odds ratio [OR] = 4.31, p = 0.013) and high AAS (OR = 1.03, p = 0.001). Skeletal muscle density (hazard ratio [HR] = 0.93, p = 0.004) or myosteatosis (HR = 4.87, p = 0.032) and high AAS (HR = 1.02, p = 0.001) were independent factors for poor survival outcomes. The presence of myosteatosis and the high burden of aortic calcium were significant factors for CKD progression and survival in patients with non-dialysis CKD.
Publisher
Research Square Platform LLC
Reference39 articles.
1. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017;Collaboration GBDCKD;Lancet,2020
2. Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016;Xie Y;Kidney Int,2018
3. Insights Into Osteoporosis and Sarcopenia;Boutin RD;AJR Am J Roentgenol,2020
4. State of the Art;Pickhardt PJ;Radiology,2022
5. Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value;Pickhardt PJ;Radiographics,2021