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
Published online Mar 20, 2026. doi: 10.5493/wjem.v16.i1.111197
Table 1 Baseline demographics
| Variables | n | % | mean ± SD | |
| Sex | Women | 57 | 41.01 | |
| Men | 82 | 58.99 | ||
| Age (years) | 58.98 ± 9.63 | |||
| BMI (kg/m2) | 27.80 ± 3.71 | |||
| Gensini score | 40.02 ± 56.95 | |||
| Type 2 diabetes mellitus | 30 | 21.58 | ||
| Hypertension | 102 | 73.38 | ||
| Current smoker | 49 | 35.25 | ||
| Hypercholesterolemia | 90 | 64.75 | ||
| History of myocardial infarction | Q-wave | 40 | 28.78 | |
| Non-Q wave | 1 | 0.72 | ||
| CCS classification | ||||
| CCS I | 28 | 20.1 | ||
| CCS II | 55 | 39.6 | ||
| CCS III | 38 | 27.3 | ||
| CCS IV | 18 | 13 | ||
| History of TIA | 1 | 0.72 | ||
| History of stroke | 10 | 7.19 | ||
| History of CABG | 5 | 3.6 | ||
| History of PTCA | 15 | 10.79 | ||
| ASA | 139 | 100 | ||
| ACE-I usage | 92 | 66.19 | ||
| Diuretic usage | 41 | 29.5 | ||
| Calcium-channel blocker usage | 24 | 17.27 | ||
| Antiarhythmic usage | 9 | 6.47 | ||
| Statin usage | 95 | 68.35 | ||
| Fibrate usage | 6 | 4.32 | ||
| Beta-blocker usage | 92 | 66.19 | ||
| Nitrate usage | 68 | 48.92 | ||
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 | -0.046 | NS |
| RMSSD | 0.013 | NS |
| de Hann STI | -0.227 | < 0.05 |
| de Hann LTI | -0.087 | NS |
| Yeh DI | -0.131 | NS |
| Yeh II | -0098 | NS |
| Organ BAND | -0.087 | NS |
| van Geijn ID | -0.232 | < 0.05 |
| Huey STV | -0.137 | NS |
| Huey LTV | -0.167 | < 0.05 |
| Dalton MABB | -0.169 | < 0.05 |
| Dalton SD | -0.091 | NS |
| Zugaib STV | -0.142 | NS |
| Zugaib LTV | -0.124 | NS |
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 | -0.091 | NS |
| VLF | 0.034 | NS |
| LF | -0.125 | NS |
| HF | -0.11 | NS |
| LF/HF | 0.036 | NS |
| AR TP | -0.132 | NS |
| AR VLF | 0.12 | NS |
| AR LF | 0.032 | NS |
| AR HF | -0.065 | NS |
| AR LF/HF | -0.028 | NS |
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 indices | Correlation analysis (n = 139) | |
| r | P value | |
| The Allan factor | -0.06 | NS |
| w1 | -0.154 | NS |
| w2 | -0.151 | NS |
| w3 | -0.1 | NS |
| w4 | -0.47 | NS |
| w5 | -0.134 | NS |
- Citation: Kuzemczak M, Miechowicz I, Januszek R, Siminiak T. Correlation between heart rate variability and severity of coronary atherosclerosis: Looking for non-invasive indicators of the disease severity. World J Exp Med 2026; 16(1): 111197
- URL: https://www.wjgnet.com/2220-315x/full/v16/i1/111197.htm
- DOI: https://dx.doi.org/10.5493/wjem.v16.i1.111197
