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. 2017 Jan 13;16:7. doi: 10.1186/s12944-017-0410-0

Table 3.

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

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

BMI body mass index, CAD coronary artery disease, LDL-C low density lipoprotein cholesterol, hs-CRP high sensitivity C-reactive protein