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논문분류	춘계학술대회 초록집
제목	Abdominal Subcutaneous Fat Area can Predict 2-Year Survival in Patients with End- stage Renal Disease Initiating Hemodialysis
저자	Yoon Kyung Chang
출판정보	2024; 2024(1):
키워드
초록	Objectives: Obesity and adipose tissue are considered “baddies” associated with adverse outcomes such as cardiovascular and metabolic diseases. However, the obesity paradox is obesity that may provide survival benefits for chronic diseases including patients undergoing hemodialysis. Fat mass can be a surrogate marker for nutrition status in patients undergoing hemodialysis. Thus, this study evaluated subcutaneous fat and all-cause mortality in patients initiating hemodialysis. Methods: A total of 123 patients initiating hemodialysis were included in this study. MATLAB (version R2014a) was used to identify subcutaneous fat area (SFA) and visceral fat area (VFA) in computed tomography images for the analysis of body composition. Based on SFA, patients were divided into 2 groups. The survival rate was calculated using Cox regression analysis. Results: The mean SFA, VFA, and BMI were 108.17 ± 26.37, 143.87 ± 91.38, and 23.83 ± 4.52, respectively. SFA groups were divided into two groups by cut-off value calculated by ROC analysis. (Table 1). The Kaplan–Meier survival rates were 70.0% and 85.7% in the low and high subcutaneous fat area (SFA) groups, respectively (log rank, p = 0.021). In Cox analysis, the low SFA group showed high risk for all-cause mortality than the high SFA group (hazard ratio (HR) 3.541, 95% CI 1.358–9.235, p = 0.010). In subgroup univariate analysis, the risk for all-cause mortality was higher in patients with low SFA and diabetes than those with high SFA and diabetes (HR 3.541, 95% CI 1.358–9.235, p = 0.010). In multivariate analysis, the risk for all-cause mortality was higher in patients with low SFA and diabetes than those with high SFA and diabetes (HR 4.615, 95% CI 1.484–14.351, p = 0.008). Conclusions: Conclusively, low SFA increases the risk of 2-year all-cause mortality, and SFA analysis can provide information for risk evaluation for patients initiating hemodialysis.
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