Abstract: TH-PO0876
Comparison of Body Mass Index and Bioimpedance-Derived Adiposity Indices as Predictors of Inflammation in Patients on Hemodialysis
Session Information
- Dialysis: Prescription, Physiology, and Treatment Optimization
October 22, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Dialysis
- 801 Dialysis: Hemodialysis and Frequent Dialysis
Authors
- Flores Pérez, Cinthia Sofia, Instituto Nacional de Cardiologia Ignacio Chavez, Mexico City, Mexico
- Garza Romero, Maria Fernanda, Instituto Nacional de Cardiologia Ignacio Chavez, Mexico City, Mexico
- Leal, Gabriela, Instituto Nacional de Cardiologia Ignacio Chavez, Mexico City, Mexico
- Lara Díaz, Julieta, Instituto Nacional de Cardiologia Ignacio Chavez, Mexico City, Mexico
- Santana Velásquez, Sharon, Instituto Nacional de Cardiologia Ignacio Chavez, Mexico City, Mexico
- Lopez-Gil, Salvador, Instituto Nacional de Cardiologia Ignacio Chavez, Mexico City, Mexico
Background
Chronic inflammation is prevalent in hemodialysis (HD) patients and is associated with increased morbidity and mortality. While the "Obesity Paradox" suggests that an elevated Body Mass Index (BMI) correlates with better outcomes, BMI cannot differentiate between lean body mass and adipose tissue. Precise quantification of body composition could offer superior proinflammatory prediction.
Methods
We conducted a retrospective cohort study. Prevalent HD patients (>3 months) were included; patients with a BMI < 18.5 kg/m2 were excluded. Data from 211 segmental electrical bioimpedance assessments (InBody S10) were analyzed. Adiposity variables included BMI calculated from dry weight, body fat percentage, and visceral fat area (VFA). Inflammatory/nutritional markers included C-reactive protein (CRP), CRP/Albumin ratio, CRP/HDL ratio, and the Malnutrition Inflammation Score (MIS). Data analysis was performed using generalized estimating equations (GEE).
Results
Forty-seven patients were included; 28 (59.5%) were women. The median age was 38 years (28.5-46), and dialysis vintage was 14.8 months (5-39.2). BMI showed a significant negative association with MIS (p < 0.001) and phase angle (PhA) (p = 0.001). Conversely, fat percentage was positively associated with CRP/HDL (p = 0.002) and PhA (p = 0.001), and negatively related to MIS (p < 0.001). VFA was positively associated with all inflammatory markers: CRP (p < 0.001), CRP/Albumin (p = 0.001), and CRP/HDL (p = 0.001).
Conclusion
Beyond BMI, the precise quantification of body composition reveals the underlying proinflammatory impact of adiposity. This finding directly contradicts current established theories, offering a novel perspective on prognosis within this population.