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

Please note that you are viewing an archived section from 2019 and some content may be unavailable. To unlock all content for 2019, please visit the archives.

Abstract: FR-PO266

Continuous Ambulatory Blood Pressure Monitoring: A Viable Option in CKD?

Session Information

Category: CKD (Non-Dialysis)

  • 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention

Authors

  • Canales, Muna T., Malcom Randall VAMC, Gainesvile, Florida, United States
  • Bozorgmehri, Shahab, University of Florida, Gainesville, Florida, United States
  • Berry, Richard, Malcom-Randall VAMC, Gainesville, Florida, United States
  • Beyth, Rebecca, Dept of VA & Univ. of Florida, Gainesville, Florida, United States
Background

Traditional cuff-based ambulatory blood pressure monitoring (ABPM) is cumbersome and fragments sleep. Continuous ABPM utilizes a simple pulse oximeter and 2-lead electrocardiogram to calculate blood pressure beat to beat from pulse transit time(PTT). While continuous ABPM overcomes the challenges of traditional ABPM, its validity in CKD—a population with a high burden of vascular disease—is unclear.

Methods

Two separate cohorts (20 Veterans and 20 University hospital-based) were enrolled for this study. Inclusion criteria were: age 18-89, MDRD eGFR 15-44, not on dialysis or transplant. Participants underwent simultaneous 24 hour cuff-ABPM (Spacelabs) and PTT-ABPM (Somnomedics). We determined the correlation between 24-hour blood pressure for cuff and PTT-ABPM. We used McNemar’s test for correlated proportions to assess the degree of concordance between cuff and PTT-ABPM to determine dipping status (p<0.05 suggests lack of concordance).

Results

Among Veterans, mean age(SD) was 76(9) years, 95% male, mean BMI 31(5) kg/m2, 95% hypertensive, 60% diabetic and 5% with peripheral vascular disease(PVD). At the University site, mean age(SD) was 67(11) years, 50% male, mean BMI 31(8) kg/m2, 85% were hypertensive and 35% diabetic. None had PVD. The table below shows, by method, the average number of blood pressure readings, mean 24-hour blood pressure and the correlation between cuff and PTT-ABPM. Among Veterans, there was concordance with systolic dipping(McNemar’s p 0.10) but not diastolic dipping(p=0.02). Among University participants, concordance was not observed for diastolic dipping(p=0.02) and the test could not be performed for systolic dipping as none of the PTT-ABPM had dipping though 8 were dippers by cuff-ABPM.

Conclusion

Among Veterans with CKD, PTT-ABPM correlates reliably with cuff ABPM for overall and systolic blood pressure as well as systolic dipping status. Among University CKD patients, PTT-ABPM does not correlate well with cuff-ABPM. Additional validation studies with larger sample sizes are required to confirm our findings.

Funding

  • Other NIH Support