Abstract: FR-PO0590
Chest CT-Based Radiographic Features of Adipose Tissue for Prediction of Disease Progression in Patients with Type 2 Diabetes Mellitus with Biopsy-Proven Diabetic Nephropathy
Session Information
- CKM: Clinical - Meta-Analyses, Predictive Modeling, Care Delivery, and Safety
October 23, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Cardiovascular-Kidney-Metabolic Health
- 602 Cardiovascular-Kidney-Metabolic Health: Clinical
Authors
- Dong, Yang, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Jiang, Yong, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Cheng, Dongsheng, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Wang, Niansong, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Fan, Ying, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
Background
Early prediction of renal outcomes in diabetic nephropathy (DN) population remains challenging due to limitations of conventional biomarkers. Body composition assessed by computed tomography (CT) may provide novel insights into prognostic information in metabolic diseases. We aimed to investigate the association of CT-based radiographic features of body composition with renal outcomes in biopsy-proven DN patients.
Methods
A total of 101 cases of biopsy-proven DN patients, and 101 cases of age, gender and BMI matched diabetes mellitus (DM) controls were included. Chest CT scan were measured and 12th thorax vertebra level were applied to evaluate skeletal muscle mass index (SMI), skeletal muscle radiodensity (SMD), visceral adipose tissue area (VATa), visceral adipose tissue radiodensity (VATD), subcutaneous adipose tissue area (SATa) and subcutaneous adipose tissue radiodensity (SATD). We examined the correlations between these body composition indexes and kidney-related clinicopathological parameters. Hazard ratios (HRs) were calculated to evaluate the associations of CT-based body composition with renal outcomes (defined as the composite of a doubling of baseline serum creatinine, end-stage renal disease or cardiorenal death) using restricted cubic splines and Cox regression.
Results
Compared to DM controls, patients with DN had higher levels of VATD and SATD, but significantly lower levels of VATa, SATa and SMD. VATa was negatively correlated with severity of glomerular lesions, whereas positively correlated with eGFR level. The VATD and SATD had significant positive correlations with glomerular pathological classes, IFTA scores and UACR，while negatively correlated with eGFR. During the median follow-up time of 26.2 months, 44 (43.6%) patients reached the endpoints. Multivariate Cox regression indicated that low VATa and high VATD remained independent risk factors for poor renal outcomes in DN patients.
Conclusion
Chest CT-derived visceral adipose tissue area and radiodensity may serve as prognostic factors for predicting of disease progression in patients with biopsy-proven DN. Opportunistic chest CT might be an overlooked resource for predicting renal outcomes in DN patients, which could be integrated into clinical prediction tools in future.