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. Author manuscript; available in PMC: 2022 Nov 3.
Published in final edited form as: BMJ Support Palliat Care. 2023 Dec 7;13(e2):e344–e351. doi: 10.1136/bmjspcare-2020-002312

Table 3.

Results of univariable and multivariable regression models relating sociodemographic, clinical, and molecular variables to fatigue among patients with AML.

Univariable Analysis Multivariable Analysis
Estimate 95% CI p Estimate 95% CI p
Sociodemographic variables
Female sex −2.11 3.70, −0.53 0.009 −2.30 −4.01, −0.59 0.009
Age −0.03 −0.11, 0.05 0.437 NA NA NA
Clinical variables
WHO performance status ≥1 −3.15 −4.79, −1.52 <0.001 −2.55 −4.30, −0.81 0.004
≥1 comorbidity −1.26 −3.47, 0.95 0.262 NA NA NA
Hb level, g/dL 0.56 0.12, 0.99 0.013 0.06 −0.43, 0.54 0.815
WBC count, x109/L −0.35 −0.51, −0.19 <0.001 −0.15 −0.34, 0.04 0.125
Blast cells, % −0.05 −0.08, −0.02 <0.001 −0.02 −0.05, 0.02 0.314
Platelet count, x109/L 0.18 0.08, 0.28 0.001 0.22 0.08, 0.37 0.002
Molecular variables
FLT3-ITD −2.08 −3.90, −0.26 0.025 −0.05 −2.05, 1.95 0.961
RUNX1-RUNX1T1 0.20 −3.27, 3.68 0.908 NA NA NA
CBFβ-MYH11 −0.14 −3.21, 2.93 0.928 NA NA NA
NMP1 −0.17 −1.83, 1.49 0.839 NA NA NA

Only significant univariable predictors of fatigue were included in the multivariable analysis.

Abbreviations: WHO, World Health Organization; Hb, hemoglobin; WBC, white blood cell.