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. 2021 Mar 29;48:140–147. doi: 10.1016/j.ajem.2021.03.083

Table 3.

Logistic regression models of the composite endpoint of severe outcomes

Unadjusted Model
Adjusted Model I
Adjusted Model II
OR 95% CI P-value aOR1 95% CI P-value aOR1 95% CI P-value
Demographics
Age > 65 1.989 1.427–2.772 <0.001 1.715 1.171–2.510 0.006 1.727 1.180–2.528 0.005
BMI 1.006 0.984–1.028 0.601
Male Sex 1.179 0.850–1.635 0.325 1.271 0.897–1.801 0.176 1.287 0.908–1.824 0.156



Comorbidities
DM 1.346 0.967–1.873 0.078 1.050 0.709–1.555 0.807 1.053 0.711–1.559 0.796
HTN 1.654 1.137–2.408 0.009 1.129 0.693–1.840 0.627 1.121 0.694–1.842 0.622
HLD 1.556 1.119–2.165 0.009 1.373 0.935–2.015 0.105 1.370 0.933–2.011 0.109
Heart Disease 1.443 1.009–2.063 0.044 0.952 0.626–1.448 0.818 0.953 0.626–1.451 0.822
Asthma 1.274 0.798–2.032 0.310
COPD 1.314 0.768–2.249 0.318
Kidney Disease 1.472 1.035–2.093 0.031 1.122 0.740–1.700 0.588 1.101 0.724–1.674 0.652
Cancer 1.221 0.797–1.870 0.360



Lab Findings
Hemoglobin 0.988 0.937–1.041 0.645
Ferritin* 1.000 1.000–1.000 0.001
D-dimer* 1.134 1.077–1.194 <0.001
WBC 1.047 0.990–1.107 0.107
CRP* 1.096 1.066–1.128 <0.001
Platelet 0.999 0.998–1.001 0.392
ALT** 1.003 0.999–1.007 0.096
AST 1.006 1.003–1.010 0.001 1.007 1.002–1.011 0.002 1.007 1.002–1.011 0.002
Creatinine*** 1.087 1.011–1.170 0.025



Classifications
Anemia (on admission) vs. none 1.411 1.019–1.954 0.038 1.403 0.969–2.032 0.073



Anemia Severity
Mild vs. none 1.383 0.872–2.200 0.168 1.297 0.792–2.125 0.301
Mod-Sev vs. none 1.441 1.045–1.985 0.026 1.532 1.048–2.230 0.028

Model I: Adjusted model for the association between anemia and composite endpoint of severe outcomes. Model II: Adjusted model for the association between different severities of anemia and composite endpoint of severe outcomes.1Adjusted Odds Ratio. *Variables with 20% or missing values were not included in the multivariable model due to too many missing values. **ALT was not included in multivariable models because of the high correlation with AST which appeared to be the highest predictive variable in bivariate analysis. ***Creatinine was not included in multivariable models because of the high correlation with CKD which appeared to be the highest predictive variable in bivariate analysis.