Table 2.
Factors associated with underprescription of oral anticoagulants
Characteristics | Model1 [OR(95%CI)] N = 3165 |
Model2 [OR(95%CI)] N = 3165 |
Model3 [OR(95%CI)] N = 3165 |
---|---|---|---|
Age(years),80–84 | Ref | - | - |
Age(years),85–89 | 1.48(1.25,1.74) | - | - |
Age(years),90 + | 2.66(2.09,3.42) | - | - |
Sex, Female | 0.67(0.57,0.78) | - | - |
Clinical department, Cardiology | Ref | Ref | - |
Clinical department, Geriatrics | 2.97(2.45,3.61) | 2.2(1.78,2.71) | - |
Clinical department, Neurology | 1.25(0.96,1.63) | 1.21(0.92,1.57) | - |
Clinical department, Others | 4.23(3.43,5.24) | 4.2(3.39,5.21) | - |
Year, 2016–2017 | Ref | Ref | - |
Year, 2017–2018 | 0.66(0.52,0.83) | 0.65(0.51,0.83) | - |
Year, 2018–2019 | 0.48(0.38,0.6) | 0.47(0.37,0.6) | - |
Year, 2019–2020 | 0.34(0.27,0.42) | 0.32(0.25,0.4) | - |
CHA2DS2-VASC Score | 0.92(0.87,0.98) | 0.94(0.88,1) | 1(0.93,1.07) |
HAS- BLED Score < 3 | Ref | Ref | Ref |
3 < = HAS- BLED Score < = 4 | 0.93(0.71,1.19) | 0.86(0.66,1.11) | 1.11(0.84,1.46) |
HAS- BLED Score > = 5 | 1.31(1,1.72) | 1.08(0.82,1.43) | 1.89(1.38,2.57) |
Prescription of antiplatelets, Y | 1.69(1.45,1.97) | 1.57(1.35,1.84) | 2.21(1.85,2.63) |
Clopidogrel, Y | 1.77(1.49,2.09) | 1.59(1.34,1.89) | 2.1(1.75,2.54) |
CCI, 0 | Ref | Ref | Ref |
CCI 1–2 | 1.2(0.99,1.44) | 1.08(0.89,1.3) | 1(0.82,1.23) |
CCI 3 + | 2.02(1.62,2.53) | 1.68(1.34,2.11) | 1.39(1.09,1.78) |
Dementia, Y | 2.16(1.6,2.96) | 1.68(1.24,2.33) | 1.48(1.07,2.07) |
Thromboembolic disease, Y | 1.12(0.86,1.47) | 1.14(0.88,1.5) | 0.74(0.56,1) |
Stroke, Y | 0.92(0.78,1.07) | 0.83(0.71,0.98) | 0.89(0.74,1.08) |
Hypertension, Y | 0.97(0.83,1.14) | 0.96(0.81,1.13) | 0.98(0.82,1.16) |
Diabetes, Y | 0.93(0.79,1.1) | 0.91(0.77,1.08) | 0.97(0.82,1.17) |
CHD, Y | 0.96(0.83,1.12) | 0.87(0.74,1.01) | 1.01(0.86,1.19) |
Model 1: Univariate logistic regression analysis between no anticoagulation and characteristic variables
Model 2: Multivariate logistic regression analysis between no anticoagulation and characteristic variables adjusted by age and sex
Model 3: Multivariate logistic regression analysis between no anticoagulation and characteristic variables adjusted by age, sex, clinical department and year