Related Experiment Video
Updated: Jan 28, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
Role of physical function in predicting short-term treatment outcome in Egyptian acute myeloid leukemia patients: a
Mohamed A Fateen1, Doaa M El Demerdash1, Rania A Zayed1
1Kasr Al-Ainy Hospital, Faculty of Medicine, Cairo University, Cairo, Egypt.
Background:
Acute myeloid leukemia (AML) is a potentially fatal hematological disease. Along with disease-related factors, patient-related factors, in particular age, are a strong predictor of outcome that influence treatment decisions. Many acute myeloid leukemia risk stratification models have been developed to predict the outcome of intensive chemotherapy. However, these models did not include physical function assessments.
Methods:
This study investigated the impact of several factors, namely the performance status, physical function and age on the short-term outcomes of intensive chemotherapy in a cohort of 50 Egyptian patients with de novo acute myeloid leukemia.
Results:
Complete remission after intensive chemotherapy in these myeloid leukemia patients at Day 28 was 56% and the mortality rate was 12% and 34% at Day 28 and Day 60, respectively. The pretreatment Eastern Cooperative Oncology Group score was significantly correlated with outcomes on Day 28 and Day 60 (p-value = 0.041 and p-value = 0.032, respectively). There were significant correlations between the two-minute walk test and outcomes of therapy on Day 28 and 60 (p-value = 0.032 and p-value = 0.047, respectively) and between grip strength test and outcomes of therapy on Day 28 and 60 (p-value = 0.046 and p-value = 0.047 respectively). Furthermore, there was a significant correlation between chair stand test and outcome of therapy on Day 28 (p-value = 0.023).
Conclusion:
Performance status and physical function assessments were strong predictors of outcome of intensive chemotherapy in acute myeloid leukemia and we recommend the incorporation of these variables in risk stratification models for the personalization of therapy before treating acute myeloid leukemia patients with intensive chemotherapy.
More Related Videos
08:31Murine Model of Leukemia Relapse to Induction Chemotherapy for Acute Lymphoblastic Leukemia
Published on: October 17, 2025
09:57Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia
Published on: March 5, 2018
Related Concept Videos
Predicting Reaction Outcomes
Patient-centered Care
Long-term Depression
Lattice Centering and Coordination Number
Types of Unit Cells
Imagine taking a large number of identical...
Predicting Molecular Geometry
The Stanford Prison Experiment