Abstract: SA-PO0797
Socioeconomic and Clinical Predictors of FSGS Progression
Session Information
- Glomerular Research: Design, Registries, Surveys, and Epidemiology
November 08, 2025 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Glomerular Diseases
- 1402 Glomerular Diseases: Clinical, Outcomes, and Therapeutics
Authors
- Unes, Meghan Marie, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Aydin, Orhun, Saint Louis University, St. Louis, Missouri, United States
- Barthel, Avrie, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Gurbani, Sonja, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Morgan, Kaydon J, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Hibbard, Jacob, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Truong, Dzuy, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Befeler, Jaime, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Rabideau, Kate, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- DeLonais-Parker, Ava, Saint Louis University School of Medicine, St. Louis, Missouri, United States
- Lentine, Krista L., SSM Health Saint Louis University Hospital, St. Louis, Missouri, United States
- Caliskan, Yasar, SSM Health Saint Louis University Hospital, St. Louis, Missouri, United States
Background
Focal segmental glomerulosclerosis (FSGS) commonly leads to nephrotic syndrome and end-stage kidney disease (ESKD). We investigated associations between demographics, socioeconomic factors, and FSGS progression in a diverse patient population.
Methods
This retrospective study included FSGS patients seen at SSM Health in the last 12 months. Data included demographics, BMI, age at kidney biopsy/diagnosis, family history, proteinuria, serum creatinine, eGFR, and American Community Survey (ACS)-based socioeconomic data by address. Labs recorded at baseline and follow-up. A Random Forest model identified key predictors (Figure 1) of ESKD, the primary outcome.
Results
Of 90 patients (mean age=41.54; 44.4% female), 42.2% developed ESKD. Mean follow-up was 5.83 years (median=4.16, IQR 1.42-8.45). Survival was 91.1%, and 23.3% showed family history. Higher initial serum creatinine increased ESKD risk (HR 1.24 [95% CI 1.14-1.36]), higher initial eGFR was protective (HR 0.98 [95% CI, 0.97-0.99]). Age at diagnosis had a borderline association (HR 1.02 [95% CI, 1.00-1.03]). Key ACS predictors were unemployment (11%), insurance status (10%), and housing cost burden (9%).
Conclusion
Population-level socioeconomic factors strongly predict progression to ESKD, and serum creatinine and eGFR at diagnosis are key clinical predictors. Further analyses will examine interactions between socioeconomic and clinical data to inform future care.