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. 2023 Jan 24;137(2):163–180. doi: 10.1042/CS20220525

Table 3. Logistic regression analysis: associations between the presence of plaque and the log cfDNA and clinical profiles.

Univariate Multivariate
OR 95% CI P-value OR 95% CI P-value
log mt-cfDNA 3.89 1.83–9.88 <0.001 3.93 1.46–13.49 0.005
log n-cfDNA 1.80 1.10–3.09 0.02 1.10 0.59–2.09 0.76
Age 1.10 1.04–1.17 <0.001 1.06 0.99–1.14 0.07
Male 3.89 1.32–13.19 0.01 1.45 0.35–6.26 0.61
BMI 1.02 0.92–1.13 0.72
Hypertension 1.69 0.55–4.95 0.35
Dyslipidemia 1.48 0.54–4.17 0.44
Diabetes 1.14 0.41–3.15 0.80
TG 1.01 0.99–1.02 0.14
HDL-C 0.95 0.92–0.99 0.007 0.98 0.94–1.03 0.39
LDL-C 0.99 0.98–1.001 0.11
HbA1c 0.96 0.68–1.01 0.11
eGFR 0.96 0.93–0.99 0.008 0.97 0.93–1.02 0.25

Multivariate analysis was performed with the presence of plaque as binary dependent variables and with the log cfDNA, age, male, HDL-C, eGFR as covariates.

Abbreviations: BMI, body mass index; eGFR, estimated glomerular filtration rate; HbA1c, Hemoglobin A1c; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; mt-cfDNA, mitochondrial cell-free DNA; n-cfDNA, nuclear cell-free DNA; TG, Triglyceride.