A multi-center study to discern the diurnal variation of wearable device-based heart rate variability (HRV) in the Chronic Renal Insufficiency Cohort (CRIC) Study.

ABSTRACT: Little is known about the prognostic value of out-of-clinic biometric monitoring of cardiovascular function in chronic kidney disease (CKD). Using real-world sampling strategies, a mean (±SD) of 50.3±9.3 hours of ECG recordings from wearable BioPatch ECG devices was collected in a cohort consisting of 458 participants from seven Chronic Renal Insufficiency Cohort (CRIC) centers. The presence of diabetes was associated with a 7.4 ms lower Standard Deviation of NN Intervals (SDNN) compared to non-diabetic participants (p=0.001). Multivariable linear regression revealed that participants without proteinuria (uPCR<0.2) had a 5.15 ms higher SDNN compared to participants with proteinuria (uPCR≥0.2, p=0.027). Cosinor modeling suggested differences in SDNN acrophase quartiles for dia

SUBMITTER: Skarke C 

PROVIDER: S-EPMC12083637 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature