PMID- 36949420 OWN - NLM STAT- MEDLINE DCOM- 20230324 LR - 20230410 IS - 1471-2261 (Electronic) IS - 1471-2261 (Linking) VI - 23 IP - 1 DP - 2023 Mar 22 TI - Performance of heart rate adjusted heart rate variability for risk stratification of sudden cardiac death. PG - 144 LID - 10.1186/s12872-023-03184-0 [doi] LID - 144 AB - PURPOSE: As a non-invasive tool for the assessment of cardiovascular autonomic function, the predictive value of heart rate variability (HRV) for sudden cardiac death (SCD) risk stratification remains unclear. In this study, we investigated the performance of the individualized heart rate (HR) adjusted HRV (HRV(I)) for SCD risk stratification in subjects with diverse risks. METHODS: A total of 11 commonly used HRV metrics were analyzed in 192 subjects, including 88 healthy controls (low risk group), 82 hypertrophic cardiomyopathy (HCM) patients (medium risk group), and 22 SCD victims (high risk group). The relationship between HRV metrics and HR was examined with long-term and short-term analysis. The performance HRV(I) was evaluated by area under the receiver operating characteristic curve (AUC) and covariance of variation (CV). RESULTS: Most of the HRV metrics were exponentially decayed with the increase of HR, while the exponential power coefficients were significantly different among groups. The HRV(I) metrics discriminated low, medium and high risk subjects with a median AUC of 0.72[0.11], which was considerably higher than that of the traditional long-term (0.63[0.04]) and short-term (0.58[0.05]) HRV without adjustment. The average CV of the HRV(I) metrics was also significantly lower than traditional short-term HRV metrics (0.09 +/- 0.02 vs. 0.24 +/- 0.13, p < 0.01). CONCLUSIONS: Subjects with diverse risks of SCD had similar exponential decay relationship between HRV metrics and HR, but with different decaying rates. HRV(I) provides reliable and robust estimation for risk stratification of SCD. CI - (c) 2023. The Author(s). FAU - Yan, Su-Peng AU - Yan SP AD - Department of Biomedical Engineering and Imaging Medicine, Army Medical University, 30 Gaotanyan Main Street, Chongqing, 400038, China. FAU - Song, Xin AU - Song X AD - Department of Biomedical Engineering and Imaging Medicine, Army Medical University, 30 Gaotanyan Main Street, Chongqing, 400038, China. FAU - Wei, Liang AU - Wei L AD - Department of Biomedical Engineering and Imaging Medicine, Army Medical University, 30 Gaotanyan Main Street, Chongqing, 400038, China. FAU - Gong, Yu-Shun AU - Gong YS AD - Department of Biomedical Engineering and Imaging Medicine, Army Medical University, 30 Gaotanyan Main Street, Chongqing, 400038, China. FAU - Hu, Hou-Yuan AU - Hu HY AD - Department of Cardiology, Southwest Hospital, Army Medical University, Chongqing, 400038, China. FAU - Li, Yong-Qin AU - Li YQ AD - Department of Biomedical Engineering and Imaging Medicine, Army Medical University, 30 Gaotanyan Main Street, Chongqing, 400038, China. leeoken@gmail.com. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20230322 PL - England TA - BMC Cardiovasc Disord JT - BMC cardiovascular disorders JID - 100968539 SB - IM MH - Humans MH - Heart Rate/physiology MH - *Death, Sudden, Cardiac/etiology MH - Heart MH - Risk Factors MH - *Cardiomyopathy, Hypertrophic MH - Risk Assessment PMC - PMC10032001 OTO - NOTNLM OT - Heart rate OT - Heart rate variability OT - Hypertrophic cardiomyopathy OT - Risk stratification OT - Sudden cardiac death COIS- The authors declare no competing interests. EDAT- 2023/03/24 06:00 MHDA- 2023/03/25 06:00 PMCR- 2023/03/22 CRDT- 2023/03/23 00:32 PHST- 2022/12/02 00:00 [received] PHST- 2023/03/14 00:00 [accepted] PHST- 2023/03/23 00:32 [entrez] PHST- 2023/03/24 06:00 [pubmed] PHST- 2023/03/25 06:00 [medline] PHST- 2023/03/22 00:00 [pmc-release] AID - 10.1186/s12872-023-03184-0 [pii] AID - 3184 [pii] AID - 10.1186/s12872-023-03184-0 [doi] PST - epublish SO - BMC Cardiovasc Disord. 2023 Mar 22;23(1):144. doi: 10.1186/s12872-023-03184-0.