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. 2018 Dec;7(4):247–255. doi: 10.15420/aer.2018.30.2

Table 2: Mortality Risk Associated with Various Heart Rate Variability Measurements Using Resting ECG.

Study Number of Patients Monitoring Method HRV Parameters Conclusions
Zutphen study Dekker et al. 1997[2] 878 (middle-aged cohort) 885 (elderly cohort) Resting ECG, 15–30 sec SDNN SDNN <20 ms associated with increased risk of CHD (RR 2.1, 95 % CI [1.1–4.1]) and all-cause mortality (RR 2.1, 95 % CI [1.4–3.0])
Rotterdam study De Bruyne et al. 1999[3] 5,272 Resting ECG, 10 sec SDNN SDNN in lowest and highest quartiles had increased risk of cardiac mortality; HR 1.8 (95 % CI [1.0–2.3]) and 2.3 (95 % CI [1.3–4.0]) respectively
ARIC study Dekker et al. 2000[4] 900 Resting ECG, 2 min SDNN, rMSSD, SDSD, pNN50 Increased risk of all-cause mortality for patients in the lowest tertile of all parameters (RR 1.47–1.91)
Yoo et al. 2011[5] 85 Resting ECG SDNN, rMSSD, VLF, LF, HF, LF/HF, TP SDNN (28ms versus 36ms, p=0.037), rMSSD (28ms versus 29ms, p=0.007), and lnHF (4.7ms2 versus 5.5ms2, p=0.008) are depressed in patients with FRS >10 %
La Rovere et al. 2003[6] 444 Resting ECG, 8 min SDNN, LF and HF Increased risk of sudden death with reduced LFP (RR 2.8, 95 % CI [1.2–6.8], p=0.02)

FRS = Framingham risk score; HF = high frequency power; HRV = heart rate variability; LF = low frequency power; LF/HF = low frequency to high frequency power ratio; ln HF = natural log of the high-frequency measurement; pNN50 = percentage of RR intervals that differ by 50ms; rMSSD = root mean square of the differences in successive R-R intervals; SDNN = standard deviation of NN intervals; SDSD = standard deviation of absolute differences between successive intervals; TP = total power; VLF = very low frequency power.