Abstract: FR-PO947
Prevalence and Significance of Family History of Kidney Disorders in the EHR in Three Large US Health Care Systems
Session Information
- CKD Epidemiology, Risk Factors, Prevention - II
November 03, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2301 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Chang, Alexander R., Geisinger Health, Danville, Pennsylvania, United States
- Pandit, Krutika, New York University Grossman School of Medicine, New York, New York, United States
- Jones, Thomas Hal, Geisinger Health, Danville, Pennsylvania, United States
- Del Fiol, Guilherme, University of Utah Health, Salt Lake City, Utah, United States
- Kawamoto, Kensaku, University of Utah Health, Salt Lake City, Utah, United States
Background
Chronic kidney disease (CKD) affects 1 in 7 adults and has a strong genetic component with prior studies reporting ~15% of White patients and nearly 25% of Black patients with end-stage kidney disease (ESKD) having family history of ESKD. Little is known about the prevalence of family history of CKD and ESKD in electronic health records (EHRs).
Methods
We examined the prevalence of family history of CKD and ESKD among patients 18+ years of age receiving primary care in 3 large health systems (Geisinger [n=454,740], Utah [n=215,432], New York University [NYU; n=284,890]). In additional analyses using Geisinger data, we used logistic regression, adjusted for age, sex, race, and ethnicity, to examine the association of family history of CKD and ESKD with having a diagnosis of CKD and ESKD.
Results
In a sample of 955,062 adults receiving primary care in 3 health systems, prevalence of family history of CKD was fairly similar across health systems (Geisinger 4.6%, Utah 4.0%, NYU 5.1%), as was family history of ESKD (Geisinger 0.8%, Utah 0.6%, NYU 0.9%). By comparison, 36.8% of patients at Geisinger had family history of diabetes. Individuals with a family history of CKD were at increased risks of having CKD (OR 1.86, 95% CI: 1.78, 1.94) and ESKD (OR 5.63, 95% CI: 5.12, 6.20). Similar risks were observed for family history of ESKD with having CKD (OR 2.27, 95% CI: 2.07, 2.48) and ESKD (7.68, 95% CI: 6.55, 9.00). Among individuals with ESKD at Geisinger, Black patients were more likely than non-Black patients to have family history of kidney problems (27.1% vs. 19.5%; p=0.008) though not specifically family history of ESKD (6.9% vs. 6.4%; p=0.9).
Conclusion
EHR-reported family history of CKD is strongly associated with risks of CKD and ESKD and infrequently reported across 3 large health systems. Future research is needed on how to improve capture of this important CKD risk factor.