Diurnal variation of wearable device-based heart rate variability in the Chronic Renal Insufficiency Cohort study
Year: 2025
Type: article
Abstract: Little is known about the prognostic value of continuous, out-of-clinic biometric monitoring of cardiovascular function in chronic kidney disease (CKD). In this study, a mean (±SD) of 50.3 ± 9.3 h of EKG recordings from wearable BioPatch devices was collected from 458 participants across seven Chronic Renal Insufficiency Cohort centers. Multivariable linear regression showed that diabetes was associated with 7.4 ms lower Standard Deviation of NN Intervals (SDNN) compared to non-diabetic participants (p = 0.001). Higher proteinuria (uPCR ≥ 0.2) was associated with 5.73 ms lower SDNN compared to lower proteinuria (p = 0.027). This study represents the largest dataset to date evaluating SDNN, a key heart rate variability metric using wearable EKG technology in CKD. Our findings highlight that specific clinical and demographic factors significantly influence HRV in this population. These results provide a critical foundation for future work to determine whether time-specific HRV metrics can serve as predictive biomarkers for cardiovascular risk and clinical outcomes in CKD.
Source: npj Digital Medicine
Authors: Carsten Skarke, Wei Yang, Daohang Sha, Nicholas F. Lahens, Tamara Isakova, Mark Unruh, Rajat Deo, Eunice Carmona-Powell, John H. Holmes, Elaine Ficarra, Jing Chen, Jiang He, Hernan Rincon-Choles, Vallabh Shah, Chi-yuan Hsu, Amanda H. Anderson, James P. Lash, Mahboob Rahman, the CRIC Study Investigators, Lawrence J. Appel, Debbie L. Cohen, Laura M. Dember, Alan S. Go, Panduranga S. Rao
Institutions: University of Pennsylvania, Northwestern University, Cleveland Clinic, University of Alabama at Birmingham, The University of Texas Southwestern Medical Center, University of New Mexico Hospital, University of New Mexico, University of California, San Francisco, University of Illinois Chicago, University Hospitals Cleveland Medical Center, Case Western Reserve University, Johns Hopkins University, Kaiser Permanente Bernard J. Tyson School of Medicine, University of Michigan
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,090
Funders: Kaiser Permanente, University of Pennsylvania, Johns Hopkins University, Deutsches Krebsforschungszentrum, Georgia Clinical and Translational Science Alliance, National Institutes of Health, University of Illinois at Urbana-Champaign, Perelman School of Medicine, University of Pennsylvania, University of California, San Francisco, Michigan Institute for Clinical and Health Research, Clinical and Translational Science Collaborative of Cleveland, School of Medicine, Case Western Reserve University, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Research Resources, National Center for Advancing Translational Sciences
Awards: G1022778538, G1060671437, G1201304535, G1415733790, G1510223207, Clinical and Translational Science Institute, American Indian Chronic Renal Insufficiency Cohort Study (AI-CRIC), G1815451664, G197956372, G198381471, G2261104027, G2375109747, Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Study, G3000461242, G3340927746, G3538100471, G37449730, G3771679604, G3779191537, G3866621487, G5211184526, G5416377389, G5931204509, G642672552, G67735801, G7066455283, G742032275, G751309980, Institute for Clinical and Translational Research, G7958222963, G8287218166, G8534382735, G8660623442, G8676708184, G9000016349, G9000035636, G9000036570, G9000053383, G9000064938, G9000089129, G9000274598, G9000281326, Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases, Prospective renal insufficiency cohort evaluation: PRICE, Continuation of the University of Illinois Chicago CRIC Clinical Center, Limited Competition for the Continuation of the Chronic Renal Insufficiency Cohort (CRIC) Hopkins Clinical Center, Tulane Clinical Center for Chronic Renal Insufficiency Cohort Study, Chronic Renal Insufficiency Cohort (CRIC) Study, G992700738
OpenAlex ID: W4416185832