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. Author manuscript; available in PMC: 2014 Jul 10.
Published in final edited form as: Clin Cancer Res. 2009 May 19;15(11):3820–3826. doi: 10.1158/1078-0432.CCR-08-3034

Table 5.

Logistic Regression Modeling Results for Predicting Survival in Patients with Acute Myeloid Leukemia and advanced Myelodysplastic Syndrome.

Variable Hazards Ratio (95% CI) P Value
Univariate
Beta-2 Microglobulin 1.07 (1.04–1.10) <0.001
Platelet Count 0.999 (0.996–1.001) 0.347
White Blood Cell Count 1.00 (0.997–1.007) 0.486
Age (<70 vs ≥ 70) 2.09 (1.51–2.89) <0.001
Cytogenetics (Unfavorable vs other) 2.30 (1.70–3.13) <0.001
Performance Status (<2 vs ≥2) 2.14 (1.51–3.03) <0.001
Peripheral Blood Blasts 1.00 (0.997–1.01) 0.372
Peripheral Blood Monocytes 1.00 (0.99–1.01) 0.870
Peripheral Blood Lymphocytes 0.997 (0.99–1.00) 0.289
Hemoglobin 0.96 (0.89–1.05) 0.397
Bone Marrow Blasts 1.00 (0.995–1.007) 0.772
Bone Marrow Monocytes 1.00 (0.98–1.02) 0.894
Bone Marrow Lymphocytes 1.01 (0.998–1.03) 0.092
Blood Urea Nitrogen 1.05 (1.03–1.06) <0.001
Creatinine 1.00 (0.91–1.11) 0.939
Ch-Like Activity 1.21 (1.11–1.33) <0.001
Cas-L Activity 1.12 (1.07,1.18) <.001
Multivariate
Cytogenetics (unfavorable Vs Other) 2.35 (1.72–3.22) <0.001
Age (<70 vs ≥70) 2.00 (1.44–2.79) <0.001
Performance Status (<2 vs ≥2) 1.844 (1.29–2.63) 0.001
Blood Urea Nitrogen* 1.026 (1.01–1.04) 0.001
Ch-Like Activity* 1.20 (1.10–1.32) <0.001
*

Used as continuous variables