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ABSTRACT: Background
Predictors of major adverse kidney events (MAKE) in focal segmental glomerulosclerosis (FSGS) have not been previously explored within large, real-world populations. The study aim was to evaluate population-level predictors of MAKE attributed to FSGS from health system data.Methods
The study population was derived from electronic health records from Providence and University of California Los Angeles Health Systems. Identification of FSGS was based on International Classification of Diseases 9/10 diagnostic codes. Cox proportional hazards models were used to estimate the effects of traditional clinical and unique non-traditional variables including age, gender, race and ethnicity, health system, health insurance, healthcare utilization, estimated glomerular filtr
SUBMITTER: Nicholas SB
PROVIDER: S-EPMC12276672 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature