Abstract: FR-PO822
Subcutaneous Fat Area Can Predict Two-Year Survival in ESRD Patients Initiating Dialysis
Session Information
- Health Maintenance, Nutrition, Metabolism - II
November 03, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Health Maintenance, Nutrition, and Metabolism
- 1500 Health Maintenance, Nutrition, and Metabolism
Author
- Choi, Wonjung, The Catholic University of Korea, Daejeon, Korea (the Republic of)
Background
Obesity is a risk factor for increased cardiovascular disease and diabetes in general population. However, the "obesity paradox" is observed in chronic disease such as ESRD patients. BMI does not discriminate between subcutaneous fat, visceral fat or muscle. Either overhydration or PEW state in the initial dialysis patient makes it difficult to properly assess BMI and muscle mass, the initial measurement of this modality difficult to assess the patient's prognosis. Fat tissue can be assessed relatively accurate than muscle even in patients starting dialysis. However, the association of fat tissue or the distribution of fat and mortality in ESRD patient not established yet.
The aim of this study was to investigate the association subcutaneous fat and all-cause mortality in initial dialysis patient.
Methods
total 123 patient newly initiated maintenance hemodialysis who underwent abdominal CT were enrolled between January 2018 and June 2021.Patient with age ≥18year were include. Subcutaneous fat area (SFA) were determined using abdominal CT. The analysis was conducted using open-source software to identify SFA in CT images for body composition analysis.
Results
During the 2-year follow-up period, the Kaplan–Meier survival rates were 67.8%, 87.5% in low SFA group (group 1) and high SFA group (group 2) (log rank p=0.005), respectively (Figure1). In Cox proportional hazards analysis, adjusting for (Model 1)+ CONUT, PNI as nutritional risk evaluation, low SFA group showed high risk for all-cause mortality (HR 2.979, 95% CI 1.137-7.808, p= 0.026) (Table 1).
Conclusion
In conclusion, low SFA increases the risk of 2-year all-cause mortality, suggesting that early SFA analysis may be predictive of mortality in patient risk analysis in initial dialysis populations.
K-M survival curve between SFA groups
Cox regression for SFA groups