# Population Risk Predictors of Major Adverse Kidney Events in Patients with Focal Segmental Glomerulosclerosis from the CURE-CKD Registry

**Authors:** Susanne B. Nicholas, Lindsey M. Kornowske, Cami R. Jones, Kenn B. Daratha, Radica Z. Alicic, Christina L. Reynolds, Joshua J. Neumiller, Mark E. Bensink, Wu Gong, Keith C. Norris, Katherine R. Tuttle

PMC · DOI: 10.21203/rs.3.rs-5844460/v1 · Research Square · 2025-05-06

## TL;DR

The study identifies factors that predict major kidney problems in patients with focal segmental glomerulosclerosis, including health insurance and healthcare use.

## Contribution

This study is the first to explore population-level predictors of major adverse kidney events in FSGS using real-world health system data.

## Key findings

- Higher risk of kidney events was linked to high urine protein levels, non-commercial insurance, and hospitalizations.
- Older age was associated with a lower risk of adverse kidney events.
- Healthcare utilization and insurance type were significant predictors of outcomes in FSGS patients.

## Abstract

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 for patients with FSGS from health system data.

The study population was derived from electronic health records from Providence and University of California Los Angeles Health. Cox proportional hazards models were used to estimate the effects of clinical and non-clinical variables including age, gender, race and ethnicity, health system, health insurance, healthcare utilization, estimated glomerular filtration rate (eGFR), diabetes, hypertension, and prescription medications as predictors of MAKE defined as: ≥40% eGFR decline, kidney failure (eGFR <15 mL/min/1.73 m2, administrative codes for kidney failure, dialysis, or transplant) and death.

Adults with FSGS (N=629) were 54% (n=342) men and 53±17 (mean±SD) years old. Baseline eGFR was 60±30 mL/min/1.73 m2, while median (interquartile range) urine albumin/creatinine ratio (UACR) and urine protein/creatinine ratio (UPCR) were 1,430 (520–2,630) mg/g and 1.6 (0.5–3.9) g/g, respectively. Angiotensin converting enzyme inhibitors or angiotensin receptor blockers were prescribed to 76% (n=475), while corticosteroids and other immunomodulators were prescribed in 47% (n=297) and 12% (n=74), respectively. MAKE were observed in 42% (n=262) of study participants over a median of 2.9 (1.4–4.5) years. Higher hazard for MAKE was associated with above-median UACR or UPCR (HR [95% CI] (3.46 [2.28–5.23]) in patients with available measures, prescription for non-corticosteroid immunomodulator (1.87 [1.32–2.65]), non-commercial health insurance (1.78 [1.36–2.33]), hospitalization (1.64 [1.25–2.15]), lower eGFR per 10 mL/min/1.73 m2 1.25 [1.18–1.32]), number of outpatient visits (1.03 [1.01–1.05]) and lower hazard for MAKE was associated with older age (0.89 [0.82–0.98]).

Substantial loss of kidney function or kidney failure occurred in more than four in ten patients with FSGS by a median of three years. MAKE were predicted by unique population level factors, such as healthcare utilization and insurance type, which may help to identify patients with FSGS, who could most benefit from diagnostic testing and interventions to improve clinical outcomes.

## Linked entities

- **Diseases:** focal segmental glomerulosclerosis (MONDO:0100313), kidney failure (MONDO:0001106)

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}
- **Diseases:** CKD (MESH:D012080), Glomerulosclerosis (MESH:D005921), loss of kidney function (MESH:D007680), focal segmental glomerulosclerosis (MESH:D005923), kidney failure (MESH:D051437), hypertension (MESH:D006973), death (MESH:D003643), diabetes (MESH:D003920)
- **Chemicals:** creatinine (MESH:D003404)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12083681/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12083681/full.md

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Source: https://tomesphere.com/paper/PMC12083681