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Table 3 Logistic regression analysis assessing the value of potential risk factors for predicting clinically significant atherosclerosis progression

From: Impact of long-term glucose variability on coronary atherosclerosis progression in patients with type 2 diabetes: a 2.3 year follow-up study

Variablesa

Univariate

Multivariateb

OR

95%CI

P-value

OR

95%CI

P-value

CV- HbA1C

1.458

1.230, 1.688

 < 0.001

1.367

1.149, 1.650

0.010

HbA1C

1.675

1.483, 1.897

 < 0.001

1.499

1.208, 1.725

 < 0.001

CV-FPG

1.445

1.123, 1.767

0.002

1.321

1.127, 1.634

0.013

FPG

1.398

1.284, 1.525

 < 0.001

1.301

1.184, 1.532

0.018

2h-PBG

1.281

1.152, 1.424

 < 0.001

1.465

0.889, 3.133

0.060

LDL-C

1.461

1.164, 1.835

0.001

1.378

1.078, 1.763

0.011

HOMA-IR

1.015

1.004, 1.026

0.010

1.010

0.996, 1.023

0.171

Anti-platelet

0.479

0.306, 0.751

0.001

0.426

0.246, 0.737

0.002

Statin

0.619

0.390, 0.982

0.042

0.608

0.412, 0.807

0.036

Glucosidase inhibitor

1.725

1.058, 2.814

0.029

1.601

0.140, 6.221

0.348

Alcohol

0.444

0.220, 0.895

0.023

0.476

0.223, 1.014

0.054

  1. CV, coefficient of variation; FPG, fasting plasma glucose; PBG, postprandial blood glucose; HOMA-IR, homeostatic model assessment of insulin resistance; LDL-C, low density lipoprotein cholesterol
  2. aThe variables which got a level of P < 0.05 in the univariate analysis was presented in this table
  3. bMultivariate regression analysis was adjusted for age, sex, BMI, diabetes duration, smoking, alcohol consumption, hypertension, hypoglycemia rate, triglyceride, LDL-C, HDL-C, FPG, 2h-FBG, HbA1c, eGFR, UA, HOMA-IR, UACR, and medications