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Table 3 Multivariable Cox regression for incidence of atrial fibrillation

From: Prediabetes as a risk factor for new-onset atrial fibrillation: the propensity-score matching cohort analyzed using the Cox regression model coupled with the random survival forest

 

Prediabetes

 

Overall

N = 28,618

HbA1c < 5.5%

N = 315

HbA1c 5.5–6.0%

N = 8,516

HbA1c 6.0–6.5%

N = 5,478

 

HR (95% CI)

p-value

HR (95% CI)

p-value

HR (95% CI)

p-value

HR (95% CI)

p-value

Model 1

1.24

(1.11–1.39)

 < 0.001

1.49

(0.89–2.48)

0.129

1.29

(1.13–1.47)

 < 0.001

1.17

(1.01–1.36)

0.043

Model 2

1.25

(1.12–1.40)

 < 0.001

1.38

(0.82–2.30)

0.222

1.30

(1.15–1.49)

 < 0.001

1.16

(0.99–1.34)

0.061

Model 3

1.24

(1.11–1.39)

 < 0.001

1.00

(0.59–1.69)

0.996

1.20

(1.05–1.37)

0.007

1.36

(1.17–1.59)

 < 0.001

  1. Reference group: NGT, normal glucose test (N = 14,309)
  2. Model 1: crude
  3. Model 2: adjusted for age, sex (ref: female), BMI, HTN, hyperlipidemia, gout, CAD, COPD, PAOD, eGFR, history of heart failure, and history of TIA/ischemic stroke
  4. Model 3: Model 2 with further adjustment for NT-pro-BNP, LVEF, LA size, and LV mass
  5. HR hazard ratio, BMI body mass index, HTN hypertension, CAD coronary artery disease, COPD chronic obstructive pulmonary disease, PAD peripheral artery disease, eGFR estimated glomerular filtration rate, TIA transient ischemic accident, NT-pro-BNP N terminal pro B type natriuretic peptide, LVEF left ventricular ejection fraction, LA left atrial size, LV mass left ventricle mass
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Cardiovascular Diabetology

ISSN: 1475-2840