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. 2015 Mar 10;23(4):214–221. doi: 10.1007/s12471-015-0664-y

Table 3.

Associations of patient, arrival, discharge and hospital characteristics with prescription of secondary prevention medication in the multivariable generalized linear mixed model

Variable OR (95 % CI) P-value
Discharge diagnosis
 STEMI (intercept) N/A 0.37
 NSTEMI 0.64 (0.49–0.82) ***< 0.001
 UA 0.29 (0.21–0.39) ***< 0.001
Female patient 4.09 (1.32–12.7) **< 0.01
Coronary artery disease 1.13 (0.79–1.61) 0.51
Angina pectoris 1.04 (0.79–1.38) 0.76
Prior PCI 0.98 (0.76–1.26) 0.87
Prior CABG 0.70 (0.51–0.95) *0.02
Diabetes mellitus 2.67 (2.06–3.45) ***< 0.001
Kidney failure 2.10 (1.23–3.57) *0.007
Smoker 1.19 (0.94–1.50) 0.16
Coronary stenosis 0.82 (0.56–1.20) 0.30
Resuscitation 2.65 (1.29–5.44) **0.008
Transportation from another hospital 0.81 (0.60–1.10) 0.18
Age 0.97 (0.96–0.99) ***< 0.001
Length of staya 1.43 (1.19–1.72) ***< 0.001
PCI 2.05 (1.63–2.59) ***< 0.001
CABG 0.98 (0.63–1.55) 0.94
Recent PCI, CABG or MI (< 6 months before admission) 1.91 (1.23–2.95) **0.004
Interaction between Age and Sex 1.02 (1.00–1.04) **0.003

*significant at ≤ 0.05 level; **significant at ≤ 0.01 level; ***significant at ≤ 0.001 level

STEMI ST-segment elevation myocardial infarction, N/A not applicable, NSTEMI non-ST-segment elevation myocardial infarction, UA unstable angina pectoris, PCI percutaneous coronary intervention, CABG coronary artery bypass grafting, MI myocardial infarction

aLength of stay was log-transformed after careful consideration of the residuals of a model without random intercept