Association of tuberculosis in patients with chronic myeloid leukemia: a treatment proposal based on literature review

Iqbal, Phool; Soliman, Ashraf T; Sanctis, Vincenzo De; Yassin, Mohamed A

doi:10.1080/17474086.2021.1875818

Cited by 14 publications

(10 citation statements)

References 21 publications

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“…Clinically, CML can be divided based on progression into three phases: the chronic phase is when most patients are diagnosed; the accelerated phase characterized by impairment of neutrophil differentiation; and the blast phase in which myeloid cells proliferate uncontrollably, resembling acute leukemia [ 5 , 6 , 8 , 9 ]. The diagnosis of CML involves several steps, starting with a peripheral blood smear that typically shows neutrophilia, followed by bone marrow biopsy, and finally, testing for the BCR-ABL fusion gene or mRNA that are confirmatory for the disease [ 10 , 11 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Applications of Machine Learning in Chronic Myeloid Leukemia

et al. 2023

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Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm characterized by dysregulated growth and the proliferation of myeloid cells in the bone marrow caused by the BCR-ABL1 fusion gene. Clinically, CML demonstrates an increased production of mature and maturing granulocytes, mainly neutrophils. When a patient is suspected to have CML, peripheral blood smears and bone marrow biopsies may be manually examined by a hematologist. However, confirmatory testing for the BCR-ABL1 gene is still needed to confirm the diagnosis. Despite tyrosine kinase inhibitors (TKIs) being the mainstay of treatment for patients with CML, different agents should be used in different patients given their stage of disease and comorbidities. Moreover, some patients do not respond well to certain agents and some need more aggressive courses of therapy. Given the innovations and development that machine learning (ML) and artificial intelligence (AI) have undergone over the years, multiple models and algorithms have been put forward to help in the assessment and treatment of CML. In this review, we summarize the recent studies utilizing ML algorithms in patients with CML. The search was conducted on the PubMed/Medline and Embase databases and yielded 66 full-text articles and abstracts, out of which 11 studies were included after screening against the inclusion criteria. The studies included show potential for the clinical implementation of ML models in the diagnosis, risk assessment, and treatment processes of patients with CML.

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Section: Introductionmentioning

confidence: 99%

Applications of Machine Learning in Chronic Myeloid Leukemia

et al. 2023

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“…The cornerstone for the treatment of CML in the chronic phase is TKI of a different generation [ 12 , 13 ]. Like other patients with malignancies, patients with CML are susceptible to infection; this includes infections like TB hepatitis [ 14 , 15 ], as well as infections like SARS-CoV-2. SARS-CoV-2 is a respiratory virus that has caused the most infections worldwide.…”

Section: Discussionmentioning

confidence: 99%

SARS-CoV-2 Omicron Variant in Patients With Chronic Myeloid Leukemia: A Retrospective Study

Ali

Khamees

Abu-Tineh

et al. 2022

Cureus

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Background and aims Coronavirus disease 2019 (COVID-19) is caused by a virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first pandemic wave, SARS-CoV-2 had developed significant changes and mutations that resulted in the emergence of different strains. Each strain varies in its virulence and disease severity. Most reports have shown that the Omicron variant causes mild illness. Little is known about the impact of Omicron in patients with chronic myeloid leukemia. We present patients with chronic myeloid leukemia who had infection with the Omicron variant of the SARS-CoV-2 and their outcomes. Materials and methods Retrospective data from the records of the National Center for Cancer Care and Research from December 20, 2021, to January 30, 2022. Participants were adults over the age of 18 years with Omicron infection who had been diagnosed with chronic myeloid leukemia according to World Health Organization classifications from 2008 and 2016. Results Eleven patients with chronic myeloid leukemia had Omicron infection. All patients had a mild disease according to the World Health Organization classification of COVID-19 severity. The majority of patients were young males. Conclusions In patients with chronic myeloid leukemia, infection with the Omicron variant of the SARS-CoV-2 usually results in mild disease not requiring hospitalization.

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“…Further monitoring is planned at 1 year. However, infections and reactivation of infections like hepatitis and tuberculosis [ 19 ] remain important unmet needs that require further studies. The weight of this case report is to boost awareness about deficiencies in the current literature and to open a discussion in addressing the risk of HBVr and the lack of guidance in terms of prophylaxis and monitoring.…”

Section: Discussion/conclusionmentioning

confidence: 99%

Chronic Myeloid Leukemia in a Patient with Hepatitis B Virus Infection: A Case Report

2021

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Chronic myeloid leukemia (CML) is a myeloproliferative disorder diagnosed by demonstrating the Philadelphia chromosome (Ph) or the BCR-ABL fusion gene. Tyrosine kinase inhibitors (TKIs) are the standard of therapy. There are increasing reports of hepatitis B virus reactivation (HBVr) in patients on this treatment. We report a case of a 46-year-old male patient diagnosed to have CML in the chronic phase and resolved hepatitis B infection. He was treated with imatinib as upfront therapy for CML and with lamivudine as prophylaxis against HBVr. The patient tolerated both treatments well with no adverse effects. The aim is to address the deficiencies in the literature in regard to managing these patients, prevention, and follow-up.

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Association of tuberculosis in patients with chronic myeloid leukemia: a treatment proposal based on literature review

Cited by 14 publications

References 21 publications

Applications of Machine Learning in Chronic Myeloid Leukemia

Applications of Machine Learning in Chronic Myeloid Leukemia

SARS-CoV-2 Omicron Variant in Patients With Chronic Myeloid Leukemia: A Retrospective Study

Chronic Myeloid Leukemia in a Patient with Hepatitis B Virus Infection: A Case Report

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