Abstract: PUB379
Association of Symptoms with Kidney Function and Sociodemographic Factors in Nondialysis-Dependent CKD
Session Information
Category: CKD (Non-Dialysis)
- 2302 CKD (Non-Dialysis): Clinical, Outcomes, and Trials
Authors
- Patel, Dipal M., The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
- Han, Dingfen, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States
- Riekert, Kristin, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
- Shin, Jung-Im, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States
- Crews, Deidra C., The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
Background
Determinants and distribution of symptoms in people with non-dialysis-dependent CKD (CKD-ND) are not well known. We hypothesized that symptom burden is associated with kidney function and sociodemographic factors.
Methods
We evaluated data from a cohort of patients with CKD-ND who completed an electronic patient-reported outcome measure (ePROM) as part of routine nephrology care. Linear regression was used to assess associations of kidney function and sociodemographic factors with symptoms.
Results
Among 956 patients with CKD-ND, perceptions of health were variable (Figure 1). Advanced CKD stages (G4-G5) were associated with significantly worse patient-reported general health, QoL, and symptoms (Figure 2). Residence in regions of greater socioeconomic deprivation was associated with worse patient-reported general health; otherwise, ePROM scores were not significantly associated with sociodemographic factors.
Conclusion
For people with CKD-ND, symptoms are prevalent. Advanced CKD stage was associated with worse perceived general health, QoL, and symptom burden. Data highlight the need to assess patient-reported outcomes in patients with CKD-ND.
Figure 1: Distribution of ePROM scores.
Figure 2: Association of ePROM scores with patient characteristics, after adjustment for age and sex. Higher ADI quartiles indicate residence in regions with greater socioeconomic deprivation.
Funding
- Other NIH Support