Table 2.

Multivariable logistic regression model predicting receipt of chemotherapy

VariableOdds ratio (95% confidence interval)Overall P value
Sex  .001 
 Male vs female 1.07 (1.03-1.12)  
Race  0009 
 African American vs other 0.84 (0.73-0.96)  
 African American vs white 0.85 (0.78-0.93)  
 Other vs white 1.02 (0.91-1.14)  
Median household income  <.0001 
 <$30 000 vs $30 000-$34 999 0.90 (0.83-0.97)  
 <$30 000 vs $35 000-$45 999 0.90 (0.84-0.98)  
 <$30 000 vs ≥ $46 000 0.80 (0.74-0.87)  
 $30 000-$34 999 vs $35 000-$45 999 1.00 (0.94-1.07)  
 $30 000-$34 999 vs ≥ $46 000 0.90 (0.83-0.96)  
 $35 000-$45 999 vs ≥ $46 000 0.89 (0.84-0.94)  
Distance traveled, miles  <.0001 
 5-11.9 vs 12-34.7 0.92 (0.86-0.98)  
 5-11.9 vs ≥ 34.8 0.82 (0.76-0.89)  
 5-11.9 vs 0-4.9 1.16 (1.09-1.23)  
 12-34.7 vs ≥ 34.8 0.89 (0.83-0.96)  
 12-34.7 vs 0-4.9 1.26 (1.18-1.34)  
 ≥34.8 vs 0-4.9 1.41 (1.31-1.52)  
AML subtypes  <.0001 
 Core binding factor AML vs therapy-related AML 2.32 (1.82-2.96)  
 Core binding factor AML vs other intermediate/high risk 1.43 (1.22-1.68)  
 Core binding factor AML vs acute promyelocytic leukemia 1.26 (1.05-1.52)  
 Therapy-related AML vs other intermediate/high risk 0.62 (0.51-0.74)  
 Therapy-related AML vs acute promyelocytic leukemia 0.54 (0.44-0.67)  
 Other intermediate/high risk vs acute promyelocytic leukemia 0.88 (0.80-0.97)  
Annual hospital volume (as a continuous variable)* 1.02 (1.02-1.03) <.0001 
Facility type  <.0001 
 Academic vs nonacademic 1.51 (1.36-1.67)  
Age NP <.0001 
Insurance status NP <.0001 
Charlson comorbidity score NP <.0001 
Age × insurance status Supplemental Table 1 <.0001 
Age × Charlson comorbidity score Supplemental Table 2 <.0001 
VariableOdds ratio (95% confidence interval)Overall P value
Sex  .001 
 Male vs female 1.07 (1.03-1.12)  
Race  0009 
 African American vs other 0.84 (0.73-0.96)  
 African American vs white 0.85 (0.78-0.93)  
 Other vs white 1.02 (0.91-1.14)  
Median household income  <.0001 
 <$30 000 vs $30 000-$34 999 0.90 (0.83-0.97)  
 <$30 000 vs $35 000-$45 999 0.90 (0.84-0.98)  
 <$30 000 vs ≥ $46 000 0.80 (0.74-0.87)  
 $30 000-$34 999 vs $35 000-$45 999 1.00 (0.94-1.07)  
 $30 000-$34 999 vs ≥ $46 000 0.90 (0.83-0.96)  
 $35 000-$45 999 vs ≥ $46 000 0.89 (0.84-0.94)  
Distance traveled, miles  <.0001 
 5-11.9 vs 12-34.7 0.92 (0.86-0.98)  
 5-11.9 vs ≥ 34.8 0.82 (0.76-0.89)  
 5-11.9 vs 0-4.9 1.16 (1.09-1.23)  
 12-34.7 vs ≥ 34.8 0.89 (0.83-0.96)  
 12-34.7 vs 0-4.9 1.26 (1.18-1.34)  
 ≥34.8 vs 0-4.9 1.41 (1.31-1.52)  
AML subtypes  <.0001 
 Core binding factor AML vs therapy-related AML 2.32 (1.82-2.96)  
 Core binding factor AML vs other intermediate/high risk 1.43 (1.22-1.68)  
 Core binding factor AML vs acute promyelocytic leukemia 1.26 (1.05-1.52)  
 Therapy-related AML vs other intermediate/high risk 0.62 (0.51-0.74)  
 Therapy-related AML vs acute promyelocytic leukemia 0.54 (0.44-0.67)  
 Other intermediate/high risk vs acute promyelocytic leukemia 0.88 (0.80-0.97)  
Annual hospital volume (as a continuous variable)* 1.02 (1.02-1.03) <.0001 
Facility type  <.0001 
 Academic vs nonacademic 1.51 (1.36-1.67)  
Age NP <.0001 
Insurance status NP <.0001 
Charlson comorbidity score NP <.0001 
Age × insurance status Supplemental Table 1 <.0001 
Age × Charlson comorbidity score Supplemental Table 2 <.0001 

NP, not provided because of interaction.

*

For every single increase in number of patients treated annually in a hospital, odds of receiving chemotherapy increase by a factor of 1.02.

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