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Observational Study
Copyright: ©Author(s) 2026.
World J Exp Med. Mar 20, 2026; 16(1): 111197
Published online Mar 20, 2026. doi: 10.5493/wjem.v16.i1.111197
Table 1 Baseline demographics
Variables
n
%
mean ± SD
SexWomen5741.01
Men8258.99
Age (years)58.98 ± 9.63
BMI (kg/m2)27.80 ± 3.71
Gensini score40.02 ± 56.95
Type 2 diabetes mellitus3021.58
Hypertension10273.38
Current smoker4935.25
Hypercholesterolemia9064.75
History of myocardial infarctionQ-wave4028.78
Non-Q wave10.72
CCS classification
CCS I2820.1
CCS II5539.6
CCS III3827.3
CCS IV1813
History of TIA10.72
History of stroke107.19
History of CABG53.6
History of PTCA1510.79
ASA139100
ACE-I usage9266.19
Diuretic usage4129.5
Calcium-channel blocker usage2417.27
Antiarhythmic usage96.47
Statin usage9568.35
Fibrate usage64.32
Beta-blocker usage9266.19
Nitrate usage6848.92
Table 2 Correlation analysis between time-domain heart rate variability indices (traditional and novel) and the severity of coronary atherosclerosis assessed by the Gensini score
HRV indices
Correlation analysis (n = 139)
r
P value
SDNN-0.046NS
RMSSD0.013NS
de Hann STI-0.227< 0.05
de Hann LTI-0.087NS
Yeh DI-0.131NS
Yeh II-0098NS
Organ BAND-0.087NS
van Geijn ID-0.232< 0.05
Huey STV-0.137NS
Huey LTV-0.167< 0.05
Dalton MABB-0.169< 0.05
Dalton SD-0.091NS
Zugaib STV-0.142NS
Zugaib LTV-0.124NS
Table 3 Correlation analysis between spectral heart rate variability indices and the severity of coronary atherosclerosis assessed by the Gensini score
HRV indices
Correlation analysis (n = 139)
r
P value
TP-0.091NS
VLF0.034NS
LF-0.125NS
HF-0.11NS
LF/HF0.036NS
AR TP-0.132NS
AR VLF0.12NS
AR LF0.032NS
AR HF-0.065NS
AR LF/HF-0.028NS
Table 4 Correlation analysis between joint time-frequency domain heart rate variability indices and the severity of coronary atherosclerosis assessed by the Gensini score
HRV indicesCorrelation analysis (n = 139)
r
P value
The Allan factor-0.06NS
w1-0.154NS
w2-0.151NS
w3-0.1NS
w4-0.47NS
w5-0.134NS