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Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study

BACKGROUND: Imatinib is the gold standard for the treatment of all phases of Philadelphia positive Chronic Myeloid Leukemia (CML). During treatment, patients may develop cytopenia. We aimed to study the baseline characteristics and factors associated with cytopenia at a Nairobi Hospital. METHODS: Th...

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Autores principales: McLigeyo, Angela, Rajab, Jamilla, Oyiro, Peter, Ezzi, Mohammed, Bett, Yatich, Ong’ondi, Matilda, Odhiambo, Andrew, Mwanzi, Sitna, Othieno-Abinya, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805406/
https://www.ncbi.nlm.nih.gov/pubmed/35105321
http://dx.doi.org/10.1186/s12885-021-09162-z
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author McLigeyo, Angela
Rajab, Jamilla
Oyiro, Peter
Ezzi, Mohammed
Bett, Yatich
Ong’ondi, Matilda
Odhiambo, Andrew
Mwanzi, Sitna
Othieno-Abinya, Nicholas
author_facet McLigeyo, Angela
Rajab, Jamilla
Oyiro, Peter
Ezzi, Mohammed
Bett, Yatich
Ong’ondi, Matilda
Odhiambo, Andrew
Mwanzi, Sitna
Othieno-Abinya, Nicholas
author_sort McLigeyo, Angela
collection PubMed
description BACKGROUND: Imatinib is the gold standard for the treatment of all phases of Philadelphia positive Chronic Myeloid Leukemia (CML). During treatment, patients may develop cytopenia. We aimed to study the baseline characteristics and factors associated with cytopenia at a Nairobi Hospital. METHODS: This was a retrospective case-control study of patients aged ≥18 years on follow-up at the Glivec International Patient Access Program (GIPAP) clinic from 2007 to 2015. The cases consisted of CML patients on imatinib who developed cytopenia. The controls were CML patients on imatinib who did not develop cytopenia. Baseline socio – demographic, clinical, hematologic, and molecular data were retrieved from patients’ files. Chi square or fishers’ exact tests were used to analyze for differences between cytopenia and no cytopenia. Binary logistic regressions were employed to identify relationships. Univariate and multivariate analyses were done to identify independent predictors of cytopenia. Odds ratios (OR) were presented including the 95% confidence intervals and respective p values. RESULTS: A total of 201 patients were studied consisting of ninety-four (94) patients with cytopenia and 107 with no cytopenia. Among the entire population, males were 52, and 42% were aged 36–50 years. Sex, age, marital status, occupation and education level were similar between the cytopenia and no cytopenia groups. Among the 201 patients, 70% had symptoms for > 12 months before diagnosis, 78.6% had B symptoms at baseline, 80% had a moderate splenomegaly at baseline. Among patients with cytopenia, 40 and 37.4% developed cytopenia within 3 months and 3–6 months respectively after imatinib initiation. Baseline neutrophilia, neutropenia, anaemia, thrombocytosis, thrombocytopenia was found in 68, 11, 11, 23.5 and 11% respectively. Baseline hemoglobin, neutrophil and platelet level were significantly different between the cytopenia and the no cytopenia group. On univariable analysis, baseline anemia with hb < 7.9 g/dL (p = 0.002), neutropenia (p = 0.001), neutrophilia > 100,000/mm(3) (p = 0.002) and thrombocytopenia (p = 0.001) increased the odds of developing cytopenia. On multivariable analysis, baseline anaemia (p value < 0.002), neutropenia (p value < 0.001), thrombocytopenia (p value, < 0.001) and thrombocytosis (p value, 0.033) increased the odds of developing cytopenia. CONCLUSION: Odds of cytopenia were higher in presence of baseline cytopenia and thrombocytosis. Clinicians should have a high index of suspicion for these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09162-z.
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spelling pubmed-88054062022-02-03 Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study McLigeyo, Angela Rajab, Jamilla Oyiro, Peter Ezzi, Mohammed Bett, Yatich Ong’ondi, Matilda Odhiambo, Andrew Mwanzi, Sitna Othieno-Abinya, Nicholas BMC Cancer Research BACKGROUND: Imatinib is the gold standard for the treatment of all phases of Philadelphia positive Chronic Myeloid Leukemia (CML). During treatment, patients may develop cytopenia. We aimed to study the baseline characteristics and factors associated with cytopenia at a Nairobi Hospital. METHODS: This was a retrospective case-control study of patients aged ≥18 years on follow-up at the Glivec International Patient Access Program (GIPAP) clinic from 2007 to 2015. The cases consisted of CML patients on imatinib who developed cytopenia. The controls were CML patients on imatinib who did not develop cytopenia. Baseline socio – demographic, clinical, hematologic, and molecular data were retrieved from patients’ files. Chi square or fishers’ exact tests were used to analyze for differences between cytopenia and no cytopenia. Binary logistic regressions were employed to identify relationships. Univariate and multivariate analyses were done to identify independent predictors of cytopenia. Odds ratios (OR) were presented including the 95% confidence intervals and respective p values. RESULTS: A total of 201 patients were studied consisting of ninety-four (94) patients with cytopenia and 107 with no cytopenia. Among the entire population, males were 52, and 42% were aged 36–50 years. Sex, age, marital status, occupation and education level were similar between the cytopenia and no cytopenia groups. Among the 201 patients, 70% had symptoms for > 12 months before diagnosis, 78.6% had B symptoms at baseline, 80% had a moderate splenomegaly at baseline. Among patients with cytopenia, 40 and 37.4% developed cytopenia within 3 months and 3–6 months respectively after imatinib initiation. Baseline neutrophilia, neutropenia, anaemia, thrombocytosis, thrombocytopenia was found in 68, 11, 11, 23.5 and 11% respectively. Baseline hemoglobin, neutrophil and platelet level were significantly different between the cytopenia and the no cytopenia group. On univariable analysis, baseline anemia with hb < 7.9 g/dL (p = 0.002), neutropenia (p = 0.001), neutrophilia > 100,000/mm(3) (p = 0.002) and thrombocytopenia (p = 0.001) increased the odds of developing cytopenia. On multivariable analysis, baseline anaemia (p value < 0.002), neutropenia (p value < 0.001), thrombocytopenia (p value, < 0.001) and thrombocytosis (p value, 0.033) increased the odds of developing cytopenia. CONCLUSION: Odds of cytopenia were higher in presence of baseline cytopenia and thrombocytosis. Clinicians should have a high index of suspicion for these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-09162-z. BioMed Central 2022-02-01 /pmc/articles/PMC8805406/ /pubmed/35105321 http://dx.doi.org/10.1186/s12885-021-09162-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
McLigeyo, Angela
Rajab, Jamilla
Oyiro, Peter
Ezzi, Mohammed
Bett, Yatich
Ong’ondi, Matilda
Odhiambo, Andrew
Mwanzi, Sitna
Othieno-Abinya, Nicholas
Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study
title Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study
title_full Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study
title_fullStr Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study
title_full_unstemmed Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study
title_short Baseline blood count levels increase odds of cytopenia among CML patients in Kenya: a case control study
title_sort baseline blood count levels increase odds of cytopenia among cml patients in kenya: a case control study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805406/
https://www.ncbi.nlm.nih.gov/pubmed/35105321
http://dx.doi.org/10.1186/s12885-021-09162-z
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