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. 2019 Jul 4;14:1199–1206. doi: 10.2147/CIA.S214222

Table 3.

Multiple logistic regression analysis for in-hospital MACEs

Variable RR Univariate analysis
95% CI
P-value RR Multivariate analysisa
95% CI
P-value
GPS
GPS (1 vs 0) 11.500 2.619–50.492 0.001 6.711 1.409–31.968 0.017
GPS (2 vs 0) 29.556 6.859–127.364 <0.001 14.063 3.018–65.535 0.001
PI
PI (1 vs 0) 3.123 1.268–7.696 0.013 2.594 0.758–8.885 0.129
PI (2 vs 0) 8.479 3.501–20.537 <0.001 5.132 1.451–18.148 0.011
LVEF 0.928 0.905–0.952 <0.001 0.950 0.924–0.978 0.001
Heart rate 1.039 1.021–1.056 <0.001 0.432
Hemoglobin 0.985 0.972–0.999 0.030 0.634
Serum creatinine 1.003 1.001–1.006 0.015 0.452
lg NT-proBNP 7.229 3.674–14.224 <0.001 3.143 1.443–6.848 0.004
Killip class 5.066 2.749–9.338 <0.001 0.058
S2B within 12h 2.132 1.182–3.848 0.012 0.770

Note: aLogistic regression analysis with forward stepwise regression model, adjusted for LVEF, heart rate, hemoglobin, serum creatinine, NT-proBNP, Killip class, symptom-onset-to-balloon time.

Abbreviations: CI, confidence interval; GPS, Glasgow Prognostic Score; LVEF, left ventricular ejection fraction; PI, Prognostic Index; S2B, symptom-onset-to-balloon time.