Risk Prediction for Clonal Cytopenia: Multicenter Real-World Evidence

细胞减少 内科学 累积发病率 医学 比例危险模型 肿瘤科 队列 弗雷明翰风险评分 严重发热伴血小板减少综合征 入射(几何) 疾病 免疫学 骨髓 光学 物理 病毒
作者
Zhuoer Xie,Rami S. Komrokji,Najla Al-Ali,Alexandra Regelson,Susan Geyer,Anand Patel,Caner Saygin,Amer M. Zeidan,Jan Philipp Bewersdorf,Lourdes M. Mendez,Ashwin Kishtagari,Joshua F. Zeidner,Catherine C. Coombs,Yazan F. Madanat,Stephen S. Chung,Talha Badar,James M. Foran,Pinkal Desai,Charlton Tsai,Elizabeth A. Griffiths,Monzr M. Al Malki,Idoroenyi Amanam,Catherine Lai,H. Joachim Deeg,Lionel Adès,Cecilia Arana Yi,Afaf E.G. Osman,Shira Dinner,Yasmin Abaza,Justin Taylor,Namrata Sonia Chandhok,Deborah Soong,Andrew M. Brunner,Hetty E. Carraway,Abhay Singh,Chiara Elena,Jacqueline Ferrari,Anna Gallì,Sara Pozzi,Eric Padron,Mrinal M. Patnaik,Luca Malcovati,Michael R. Savona,Aref Al‐Kali
出处
期刊:Blood [Elsevier BV]
卷期号:144 (19): 2033-2044 被引量:8
标识
DOI:10.1182/blood.2024024756
摘要

Clonal cytopenia of undetermined significance (CCUS) represents a distinct disease entity characterized by myeloid-related somatic mutations with a variant allele fraction of ≥2% in individuals with unexplained cytopenia(s) but without a myeloid neoplasm (MN). Notably, CCUS carries a risk of progressing to MN, particularly in cases featuring high-risk mutations. Understanding CCUS requires dedicated studies to elucidate its risk factors and natural history. Our analysis of 357 CCUS patients investigated the interplay between clonality, cytopenia, and prognosis. Multivariate analysis identified 3 key adverse prognostic factors: the presence of splicing mutation(s) (score = 2 points), platelet count <100×109/L (score = 2.5), and ≥2 mutations (score = 3). Variable scores were based on the coefficients from the Cox proportional hazards model. This led to the development of the Clonal Cytopenia Risk Score (CCRS), which stratified patients into low- (score <2.5 points), intermediate- (score 2.5-<5), and high-risk (score ≥5) groups. The CCRS effectively predicted 2-year cumulative incidence of MN for low- (6.4%), intermediate- (14.1%), and high- (37.2%) risk groups, respectively, by Gray's test (P <.0001). We further validated the CCRS by applying it to an independent CCUS cohort of 104 patients, demonstrating a c-index of 0.64 (P =.005) in stratifying the cumulative incidence of MN. Our study underscores the importance of integrating clinical and molecular data to assess the risk of CCUS progression, making the CCRS a valuable tool that is practical and easily calculable. These findings are clinically relevant, shaping the management strategies for CCUS and informing future clinical trial designs.
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