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Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores

Introduction Several prognostic indices are in use to stratify chronic myeloid leukemia (CML) patients: Sokal, Hasford, and the European Treatment and Outcome Study (EUTOS) being the most commonly reported ones. The application of different scores may cause variability in the determination of diseas...

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Autores principales: Aijaz, Javeria, Junaid, Nada, Asif Naveed, Muhammad, Maab, Rafeeda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164706/
https://www.ncbi.nlm.nih.gov/pubmed/32313783
http://dx.doi.org/10.7759/cureus.7342
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author Aijaz, Javeria
Junaid, Nada
Asif Naveed, Muhammad
Maab, Rafeeda
author_facet Aijaz, Javeria
Junaid, Nada
Asif Naveed, Muhammad
Maab, Rafeeda
author_sort Aijaz, Javeria
collection PubMed
description Introduction Several prognostic indices are in use to stratify chronic myeloid leukemia (CML) patients: Sokal, Hasford, and the European Treatment and Outcome Study (EUTOS) being the most commonly reported ones. The application of different scores may cause variability in the determination of disease prognosis. This study was conducted to stratify patients of CML in accordance with Sokal, Hasford, and EUTOS scoring systems and to determine the concordance rate of risk categories, calculated by using all three scoring systems. Methods This study was conducted at King Edward Medical University from January 2013 to May 2019. A total of 114 patients were diagnosed with CML in the chronic phase during the study period and included in the analysis. Variables of interest were computed using Microsoft Excel. These variables include age, spleen size, platelet count, the percentage of myeloblasts in the peripheral blood, as well as the percentage of basophils and eosinophils in the peripheral blood. Using these baseline variables, the prognostic category of each patient was calculated using Sokal, Hasford, and EUTOS scores. Results The male to female ratio of patients included in the study was 1.43. The mean age was 39.3±1.58 years, with an age range of 13 to 95 years. A total of only 4 out of 73 patients were categorized as a low-risk category, whereas 23 out of 80 patients were categorized into a high-risk category by all three scoring systems. The assignment of prognostic categories was variable, depending on which prognostic score was applied. The concordance rate of Sokal vs Hasford was 53%, Sokal vs EUTOS 64%, and Hasford vs EUTOS 98%. Conclusion There is considerable inter-variability between the various prognostic indicators. In general, the Hasford and EUTOS scores assign some patients to a lower risk category when compared to Sokal score.
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spelling pubmed-71647062020-04-20 Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores Aijaz, Javeria Junaid, Nada Asif Naveed, Muhammad Maab, Rafeeda Cureus Pathology Introduction Several prognostic indices are in use to stratify chronic myeloid leukemia (CML) patients: Sokal, Hasford, and the European Treatment and Outcome Study (EUTOS) being the most commonly reported ones. The application of different scores may cause variability in the determination of disease prognosis. This study was conducted to stratify patients of CML in accordance with Sokal, Hasford, and EUTOS scoring systems and to determine the concordance rate of risk categories, calculated by using all three scoring systems. Methods This study was conducted at King Edward Medical University from January 2013 to May 2019. A total of 114 patients were diagnosed with CML in the chronic phase during the study period and included in the analysis. Variables of interest were computed using Microsoft Excel. These variables include age, spleen size, platelet count, the percentage of myeloblasts in the peripheral blood, as well as the percentage of basophils and eosinophils in the peripheral blood. Using these baseline variables, the prognostic category of each patient was calculated using Sokal, Hasford, and EUTOS scores. Results The male to female ratio of patients included in the study was 1.43. The mean age was 39.3±1.58 years, with an age range of 13 to 95 years. A total of only 4 out of 73 patients were categorized as a low-risk category, whereas 23 out of 80 patients were categorized into a high-risk category by all three scoring systems. The assignment of prognostic categories was variable, depending on which prognostic score was applied. The concordance rate of Sokal vs Hasford was 53%, Sokal vs EUTOS 64%, and Hasford vs EUTOS 98%. Conclusion There is considerable inter-variability between the various prognostic indicators. In general, the Hasford and EUTOS scores assign some patients to a lower risk category when compared to Sokal score. Cureus 2020-03-20 /pmc/articles/PMC7164706/ /pubmed/32313783 http://dx.doi.org/10.7759/cureus.7342 Text en Copyright © 2020, Aijaz et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Pathology
Aijaz, Javeria
Junaid, Nada
Asif Naveed, Muhammad
Maab, Rafeeda
Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores
title Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores
title_full Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores
title_fullStr Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores
title_full_unstemmed Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores
title_short Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores
title_sort risk stratification of chronic myeloid leukemia according to different prognostic scores
topic Pathology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164706/
https://www.ncbi.nlm.nih.gov/pubmed/32313783
http://dx.doi.org/10.7759/cureus.7342
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