Table 4.

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

Variable	Odds Ratio (95% CI)	P Value
Univariate
Beta-2 Microglobulin	1.07 (0.98–1.18)	0.122
Platelet Count	0.999 (0.995–1.004)	0.818
White Blood Cell Count	1.01 (0.995–1.014)	0.334
Age (<70 vs ≥ 70 yr)	1.92 (1.06–3.48)	0.032
Cytogenetics (Unfavorable Vs other)	2.20 (1.28–3.78)	0.004
Performance Status (<2 vs ≥2)	1.65 (0.86–3.19)	0.135
% Blasts in Blood	1.01 (1.00–1.02)	0.043
% Monocytes in Blood	1.00 (0.98–1.02)	0.877
% Lymphocytes in Blood	0.99 (0.98–1.00)	0.040
Hemoglobin	0.88 (0.75–1.03)	0.120
% Blasts in Bone Marrow	1.01 (0.99–1.02)	0.363
% Monocytes in Bone Marrow	1.02 (0.98–1.06)	0.315
% Lymphocytes in Bone Marrow	1.01 (0.98–1.04)	0.558
Blood Urea Nitrogen	1.04 (1.01–1.07)	0.014
Creatinine	0.95 (0.76–1.20)	0.671
Ch-Like Activity	1.41 (1.14–1.76)	0.002
Cas-L Activity	1.21 (1.07–1.36)	0.002
Multivariate
Chymotrypsin-Like Activity	1.44 (1.15–1.81)	0.002
Cytogenetics	2.36 (1.34–4.16)	0.003
Age (<70 vs ≥70)	2.03 (1.08–3.79)	0.028