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. Author manuscript; available in PMC: 2019 Nov 1.
Published in final edited form as: Am J Prev Med. 2018 Nov;55(5 Suppl 1):S22–S30. doi: 10.1016/j.amepre.2018.05.021

Table 3.

Hierarchical Logistic Regression Models Predicting 30-day Readmissions After AMI, Unadjusted and Adjusteda

Logistic regression models 30 day readmission after AMI
OR (95% CI) p-value
Unadjusted
 Race black vs white predicting readmission 1.25 (1.14, 1.37) <0.001
 Race black vs white predicting health system-independent 0.88 (0.25, 3.07) 0.84
 Race black vs white predicting readmission, controlling for health system-independent 1.25 (1.14, 1.38) <0.001
Adjusted
 Race black vs white predicting readmission 1.13 (1.03, 1.25) 0.046
 Race black vs white predicting health system-independent 1.02 (0.21, 5.10) 0.98
 Race black vs white predicting readmission, controlling for health system-independent 1.14 (1.03, 1.25) 0.037

Note: Boldface indicates statistical significance (p<0.05).

a

Controlling for patient-age, state, insurance, Elixhauser Index, length of stay and hospital-AMI annual volume, bed size, and year of data.

AMI, acute myocardial infarction