ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on X

Kidney Week

Abstract: FR-PO1139

Comparative Analysis of Preventive Health Care Service Use in Patients with CKD and the General Population Using the Behavioral Risk Factor Surveillance System Dataset

Session Information

Category: CKD (Non-Dialysis)

  • 2301 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention

Authors

  • Amit, Alimul Bari, SUNY Upstate Medical University Department of Medicine, Syracuse, New York, United States
  • Islam, Sumona, SUNY Upstate Medical University Department of Medicine, Syracuse, New York, United States
  • Mahboob, Muhammad Junaid, SUNY Upstate Medical University Department of Medicine, Syracuse, New York, United States
  • Rehman, Tanzeel, SUNY Upstate Medical University Department of Medicine, Syracuse, New York, United States
  • Naseeb, Muhammad, SUNY Upstate Medical University Department of Medicine, Syracuse, New York, United States
  • Lioudis, Michael, SUNY Upstate Medical University Department of Medicine, Syracuse, New York, United States

Group or Team Name

  • Upstate Nephrology.
Background

Chronic kidney disease (CKD) patients make up 13.5% of Medicare beneficiaries, but accounts for almost a quarter of its spending. Preventive health care has been widely regarded as the most cost effective intervention. The utilization rate has remained low in CKD population. Limited data is available comparing the utilization rate in CKD and non-CKD population.

Methods

We did a secondary analysis of the 2023 Behavioral Risk Factor Surveillance System (BRFSS) dataset, which is the largest continuously conducted health survey system in the world. Preventive health care services were categorized into vaccination and cancer screening. A descriptive analysis was performed using SAS Studio. Preventive service utilization was compared using chi-squared test and multivariate logistic regression models.

Results

The sample size was 433,323. 37.4% were of age 65 and higher, 61.8% were female, 31.6% had Medicare, 4.7% reported to have kidney disease, which has been assumed to be self-reported CKD for the purposes of this analysis.

Multivariate logistic regression models were created to compare the vaccination rates in CKD and non-CKD patients while adjusting for age, sex, diabetes, insurance and employment status.

Table shows that patients with CKD have higher odds for getting vaccines (p<0.0001) and that there is no difference in cancer screening among CKD and non CKD patients.

Conclusion

Vaccination is encouraged and may be responsible for our higher rates. Although cancer incidence is higher in CKD patients, historically screening has not been considered cost-effective and has often been discouraged. This may have been reflected in our study.

Multivariate logistic regression model comparing vaccination and cancer screening rate in CKD and general population
ServiceORCIp-value
Influenzaee1.8
1.7-2<0.0001
Pneumococcus1.31.2-1.4<0.0001
Shingles2.12-2.3<0.0001
Covid1.51.2-1.8<0.0001
Lung cancer1.1.8-1.5.6
Colon cancer0.6.3-1.1.1
Ca prostate1.2.1-1.5.2
Ca breast0.9.1-19.2.9
Ca cervix1.2.1-13.9

Digital Object Identifier (DOI)