孟加拉国一家三级医院ELTS风险评分慢性髓系白血病患者的风险分层

Md. Raiq Raihan Chowdhury, Ishwor Man Singh, N. Akhter, Samim Reza, Md. Maruf Reza Kabir, Kazi Fazlur Rahman, Nishat Mahzabin, Md Salahuddin Shah, Md. Abdul Aziz
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摘要

慢性髓性白血病(CML)是一种骨髓增殖性肿瘤,其特征是白细胞及其前体不受控制的增殖。在诊断时,已经制定了各种风险评分系统来进行风险分层。2016年,欧洲治疗结果研究(EUTOS)长期生存(ELTS)评分最近被制定。该评分是欧洲白血病网在2020年推荐的。目的:利用ELTS评分系统估计慢性髓系白血病慢性期高危患者的发生频率。材料和方法:本观察性研究于2020年9月至2021年10月在Bangabandhu Sheikh Mujib医科大学(BSMMU)的患者中进行。采用有目的抽样技术,共纳入50例慢性髓性白血病患者。记录临床资料和血液学参数。骨髓研究证实了疾病的分期。计算ELTS风险评分,并进行风险分层。采用卡方检验来确定变量之间的统计相关性。结果:在研究参与者中,14%的人被确定为高危病例。40%的患者为中危,46%为低危。肝肿大或脾肿大在高危患者中更为常见。高危患者嗜酸性粒细胞和细胞百分比显著升高,血红蛋白水平显著降低。结论:相当比例的CML患者被确定为高危患者。肝肿大、脾肿大、血红蛋白降低、嗜酸性粒细胞升高和母细胞百分比升高被确定为与患者的高风险分层独立相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk Stratification of Chronic Myeloid Leukaemia Patients with ELTS Risk Score at a Tertiary Care Hospital in Bangladesh
Introduction: Chronic Myeloid Leukaemia (CML) is a myeloproliferative neoplasm characterised by uncontrolled proliferation of white blood cells and its precursors. At diagnosis, various risk scoring systems have been formulated for risk stratification. In 2016, European Treatment Outcome Study (EUTOS) Long Term Survival (ELTS) score has been formulated most recently. This score was recommended by European LeukaemiaNet in 2020. Objective: The objective of the study was to estimate the frequency of high-risk patients among Chronic Myeloid Leukaemia patients in chronic phase using ELTS scoring system. Materials and Methods: This observational study was conducted among patients at Bangabandhu Sheikh Mujib Medical University (BSMMU) between September 2020 and October 2021. A total of fifty chronic myeloid leukaemia patients were enrolled using purposive sampling technique. Clinical information and haematological parameters were recorded. Bone marrow study was conducted to confirm phase of the disease. ELTS risk score was calculated, and risk stratification was done. Chi-square test was done to find out statistical association between variables. Results: Among study participants, 14% were identified as high-risk cases using ELTS score. 40% of patients were intermediate-risk and 46% were low-risk disease. Presence of hepatomegaly or splenomegaly were significantly more common among high-risk patients. Significantly increased eosinophil and blast percentages and significantly lower haemoglobin level were found in high-risk patients. Conclusion: A fair proportion of the CML patients were identified as high-risk patients. Hepatomegaly, splenomegaly, lower haemoglobin, higher eosinophil and higher blast percentages were identified to be independently associated with higher risk stratification of patients.
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