Current myeloproliferative neoplasm scoring systems for clinical practice

原发性血小板增多症 骨髓纤维化 医学 骨髓增生性肿瘤 真性红细胞增多症 鲁索利替尼 疾病 移植 肿瘤科 内科学 入射(几何) 髓样 重症监护医学 骨髓 光学 物理
作者
Hélène Pasquer,Jean‐Jacques Kiladjian,Lina Benajiba
出处
期刊:Blood [Elsevier BV]
卷期号:145 (3): 257-276 被引量:12
标识
DOI:10.1182/blood.2024025459
摘要

ABSTRACT: BCR::ABL1-negative myeloproliferative neoplasms (MPNs) are clonal hematologic malignancies that are caused by the proliferation of myeloid cells that harbor a JAK-STAT pathway activating driver mutation. MPN management recommendations are based on the evaluation of different risks to prevent disease evolution-associated events while preserving patients' quality of life. Such risks can be common across all MPNs or specific to each subtype (polycythemia vera [PV], essential thrombocythemia [ET], prefibrotic myelofibrosis [MF], and primary MF). Patients with MF harbor the worse prognosis, and hematopoietic stem cell transplantation (HSCT) is the only curative treatment at the expense of a high rate of morbidity and mortality. Therefore, accurate scoring systems to estimate overall survival are crucial for the management of patients with MF and the selection for HSCT. In PV and ET, the prediction of vascular events is prioritized given their higher incidence and related morbidity and mortality. Finally, quality of life evaluation is important for all subtypes. To predict these risks and adapt MPN therapeutic strategies, clinical risk scores have been developed over the past decades and more recently have incorporated molecular risk factors for more accurate risk stratification. The large number of scoring systems available, combined with disease heterogeneity and the necessity to predict diverse outcomes, make it difficult for clinicians to choose the most appropriate score to evaluate their patients' risk in 2024. Here, we provide an overview of MPN disease evolution-associated event incidence and conduct an exhaustive comparative review of the scoring systems currently available for each risk. Finally, we propose an algorithm for the use of these scores in clinical practice in each MPN subtype.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Nickky完成签到 ,获得积分10
刚刚
1秒前
星岛完成签到,获得积分10
1秒前
1秒前
所所应助平淡孤萍采纳,获得60
2秒前
2秒前
海晏河清发布了新的文献求助10
2秒前
尖叫尖叫发布了新的文献求助10
2秒前
2秒前
luna应助毛小驴采纳,获得10
3秒前
斯文败类应助AA采纳,获得10
3秒前
科研通AI6.4应助yum采纳,获得10
3秒前
4秒前
一一完成签到,获得积分10
4秒前
4秒前
CodeCraft应助chenchen采纳,获得10
5秒前
秦111发布了新的文献求助10
5秒前
6秒前
6秒前
7秒前
桐桐应助Noldor采纳,获得10
7秒前
ruizhi发布了新的文献求助10
7秒前
tiger发布了新的文献求助10
7秒前
周小鱼发布了新的文献求助10
8秒前
六七完成签到 ,获得积分10
8秒前
旎旎发布了新的文献求助10
8秒前
深情安青应助HOME采纳,获得10
8秒前
8秒前
8秒前
9秒前
小泓发布了新的文献求助10
9秒前
10秒前
11秒前
小马甲应助任性豆芽采纳,获得10
11秒前
11秒前
我是老大应助wangli采纳,获得10
11秒前
LLR发布了新的文献求助10
12秒前
orixero应助冰冷的心采纳,获得10
12秒前
ming发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Child and Adolescent Psychology 600
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7413794
求助须知:如何正确求助?哪些是违规求助? 9017097
关于积分的说明 19208847
捐赠科研通 7045321
什么是DOI,文献DOI怎么找? 3233924
关于科研通互助平台的介绍 2396026
邀请新用户注册赠送积分活动 2215944