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. 2022 Sep 13;9(2):e002033. doi: 10.1136/openhrt-2022-002033

Table 3.

Association between female sex and the prevalence of brain lesions

Prevalence Univariable Age adjusted model Multivariable adjusted model
All patients (n=1743) OR (95% CI) All patients (n=1743) OR (95% CI) All patients (n=1727) OR (95% CI)
Large noncortical and cortical infarcts 0.81 (0.62 to 1.04) p=0.11 0.73 (0.56 to 0.95) p=0.02 0.86 (0.65 to 1.14) p=0.28
Small noncortical infarcts 0.90 (0.70 to 1.17) p=0.44 0.78 (0.59 to 1.01) p=0.06 0.82 (0.62 to 1.09) p=0.18
Ischaemic lesions (LNCCI and SNCI) 0.87 (0.70 to 1.08) p=0.21 0.75 (0.60 to 0.94) p=0.01 0.86 (0.67 to 1.09) p=0.22
Microbleeds 0.91 (0.70 to 1.17) p=0.47 0.81 (0.62 to 1.06) p=0.13 0.91 (0.68 to 1.21) p=0.52
White matter hyperintensities, Fazekas≥2 1.35 (1.09 to 1.67) p=0.006 1.11 (0.88 to 1.40) p=0.37 1.15 (0.90 to 1.48) p=0.27

Data are presented as OR and 95% CI; predictor of interest: female sex; multivariable adjusted model was adjusted for age, body mass index, smoking status, AF type (paroxysmal vs non-paroxysmal), systolic blood pressure, hypertension, diabetes mellitus, heart failure, coronary heart disease, sleep apnoea, statin therapy, antihypertensive medication, oral anticoagulation, antiplatelet therapy. Missing values: microbleeds count (n=55); white matter hyperintensities (n=1); covariates (n=16).

AF, atrial fibrillation; LNCCI, large noncortical and cortical infarcts (including acute lesions); SNCI, small noncortical infarcts (including acute lesions).