Consistency Test between Scoring Systems for Predicting Outcomes of Chronic Myeloid Leukemia in a Saudi Population Treated with Imatinib.

International Scholarly Research Notices Pub Date : 2017-02-13 eCollection Date: 2017-01-01 DOI:10.1155/2017/1076493
Haneen R Banjar, Enaam Alsobhi
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引用次数: 2

Abstract

Inconsistency in prognostic scores occurs where two different risk categories are applied to the same chronic myeloid leukemia (CML) patient. This study evaluated common scoring systems for identifying risk groups based on patients' molecular responses to select the best prognostic score when conflict prognoses are obtained from patient profiles. We analyzed 104 patients diagnosed with CML and treated at King Abdulaziz Medical City, Saudi Arabia, who were monitored for major molecular response (achieving a BCR-ABL1 transcript level equal to or less than 0.1%) by Real-Time Quantitative Polymerase Chain Reaction (RQ-PCR), and their risk profiles were identified using Sokal, Hasford, EUTOS, and ELTS scores based on the patients' clinical and hematological parameters at diagnosis. Our results found that the Hasford score outperformed other scores in identifying risk categories for conflict groups, with an accuracy of 63%.

在沙特接受伊马替尼治疗的人群中,预测慢性髓系白血病预后的评分系统之间的一致性检验。
当两种不同的风险类别应用于同一慢性髓性白血病(CML)患者时,预后评分不一致。本研究评估了基于患者分子反应识别风险组的常用评分系统,以便在从患者档案中获得冲突预后时选择最佳预后评分。我们分析了在沙特阿拉伯阿卜杜勒阿齐兹国王医疗城接受治疗的104例CML患者,通过实时定量聚合酶链反应(RQ-PCR)监测主要分子反应(达到等于或小于0.1%的BCR-ABL1转录水平),并根据患者诊断时的临床和血液学参数使用Sokal, Hasford, EUTOS和ELTS评分确定其风险特征。我们的结果发现,在识别冲突群体的风险类别方面,哈斯福德评分优于其他评分,准确率为63%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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