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Table 2 Factors associated with underprescription of oral anticoagulants

From: Barriers to prescribing oral anticoagulants to inpatients aged 80 years and older with nonvalvular atrial fibrillation: a cross-sectional study

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)

  1. Model 1: Univariate logistic regression analysis between no anticoagulation and characteristic variables
  2. Model 2: Multivariate logistic regression analysis between no anticoagulation and characteristic variables adjusted by age and sex
  3. Model 3: Multivariate logistic regression analysis between no anticoagulation and characteristic variables adjusted by age, sex, clinical department and year