Skip to main content

Table 3 Cox proportional hazards regression analysis to determine the predictive value of remnant cholesterol for short-term cardiovascular outcome

From: Predictive value of non-fasting remnant cholesterol for short-term outcome of diabetics with new-onset stable coronary artery disease

Variables

Univariate

Multivariate

H.R. (95% CI)

P-value

H.R. (95% CI)

P-value

Gender

0.61 (0.33–1.10)

0.099

0.78 (0.36–1.66)

0.512

Age

0.99 (0.97–1.03)

0.941

0.98 (0.94–1.01)

0.195

BMI

1.06 (0.96–1.16)

0.266

1.06 (0.96–1.17)

0.239

Current Somking

1.68 (0.94–2.99)

0.080

1.48 (0.74–2.97)

0.273

Hypertension

0.68 (0.36–1.32)

0.255

0.79 (0.39–1.58)

0.507

Family history of CAD

1.61 (0.49–5.19)

0.427

1.77 (0.53–5.86)

0.352

Gensini Scores

1.01 (1.00–1.02)

0.004

1.00 (1.00–1.02)

0.035

Lipoprotein (a)

1.00 (0.99–1.00)

0.395

1.00 (0.99–1.00)

0.978

LDL-C

1.25 (0.90–1.74)

0.182

1.04 (0.73–1.47)

0.846

Remnant Cholesterol

1.38 (0.67–2.87)

0.378

1.05 (0.46–2.37)

0.909

Hs-CRP

1.02 (0.95–1.09)

0.548

0.98 (0.94–1.01)

0.407

Neutrophil Count

1.09 (0.86–1.40)

0.442

1.01 (0.77–1.32)

0.952

Fibrinogen

1.35 (1.01–1.79)

0.042

1.32 (0.84–2.07)

0.234

Hemoglobin A1C

1.37 (1.16–1.62)

0.000

1.38 (1.14–1.66)

0.001

  1. BMI body mass index, CAD coronary artery disease, LDL-C low density lipoprotein cholesterol, hs-CRP high sensitivity C-reactive protein
Back to article page

Lipids in Health and Disease

ISSN: 1476-511X