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. 2023 Oct 13;102(41):e35363. doi: 10.1097/MD.0000000000035363

Table 3.

Effects of various variables on high thrombus burden in univariate and multivariate logistic regression analyses.

Variables Univariate analysis Multivariate analysis
OR (95% CI) P value OR (95% CI) P value
Age 1.085 (1.049–1.121) <.001 1.037 (0.995–1.082) .084
SYNTAX score 1.143 (1.089–1.1200) <.001 1.070 (1.002–1.141) .042
LVEF 0.906 (0.864–0.951) <.001 0.988 (0.923–1.057) .717
Basline cTnT 1.002 (1.001–1.003) <.001 1.001 (1.000–1.002) .027
CRP 1.199 (1.042–1.379) .011 0.727 (0.552–0.958) .023
Albumin 0.255 (0.115–0.567) .001 0.384 (0.126–1.173) .093
CAR 7.660 (3.745–15.669) <.001 10.206 (2.987–34.872) <.001
Glucose 1.011 (1.004–1.017) .001 1.009 (1.000–1.018) .042
WBC 1.476 (1.257–1.734) <.001 1.252 (1.041–1.505) .017
NLR 2.466 (1.832–3.318) <.001 1.374 (0.964–1.957) .079

CAR = C-reactive protein to albumin ratio, CI = confidence interval, CRP = C-reactive protein, LVEF = left ventricular ejection fraction, NLR = neutrophil–lymphocyte ratio, OR = odds ratio, SYNTAX = SYNergy between percutaneous coronary interventin with TAXus, WBC = white blood cell.

P values in bold indicate clinical significance.