Laboratorio de Genética Hematológica, Instituto de Medicina Experimental (IMEX-CONICET)/Academia Nacional de Medicina, Ciudad de Buenos Aires, Argentina.
Hospital Universitario Privado de Córdoba, Córdoba, Argentina.
Ann Lab Med. 2025 Jan 1;45(1):44-52. doi: 10.3343/alm.2024.0089. Epub 2024 Jul 26.
The Molecular International Prognostic Scoring System (IPSS-M) has improved the prediction of clinical outcomes for myelodysplastic syndromes (MDS). The Artificial Intelligence Prognostic Scoring System for MDS (AIPSS-MDS), based on classical clinical parameters, has outperformed the IPSS, revised version (IPSS-R). For the first time, we validated the IPSS-M and other molecular prognostic models and compared them with the established IPSS-R and AIPSS-MDS models using data from South American patients.
Molecular and clinical data from 145 patients with MDS and 37 patients with MDS/myeloproliferative neoplasms were retrospectively analyzed.
Prognostic power evaluation revealed that the IPSS-M (Harrell's concordance [C]-index: 0.75, area under the receiver operating characteristic curve [AUC]: 0.68) predicted overall survival better than the European MDS (EuroMDS; C-index: 0.72, AUC: 0.68) and Munich Leukemia Laboratory (MLL) (C-index: 0.70, AUC: 0.64) models. The IPSS-M prognostic discrimination was similar to that of the AIPSS-MDS model (C-index: 0.74, AUC: 0.66) and outperformed the IPSS-R model (C-index: 0.70, AUC: 0.61). Considering simplified low- and high-risk groups for clinical management, after restratifying from IPSS-R (57% and 32%, respectively, hazard ratio [HR]: 2.8; =0.002) to IPSS-M, 12.6% of patients were upstaged, and 5% were downstaged (HR: 2.9; =0.001). The AIPSS-MDS recategorized 51% of the low-risk cohort as high-risk, with no patients being downstaged (HR: 5.6; <0.001), consistent with most patients requiring disease-modifying therapy.
The IPSS-M and AIPSS-MDS models provide more accurate survival prognoses than the IPSS-R, EuroMDS, and MLL models. The AIPSS-MDS model is a valid option for assessing risks for all patients with MDS, especially in resource-limited centers where molecular testing is not currently a standard clinical practice.
分子国际预后评分系统(IPSS-M)提高了对骨髓增生异常综合征(MDS)临床结局的预测能力。基于经典临床参数的人工智能 MDS 预后评分系统(AIPSS-MDS)在预测能力上优于修订版 IPSS-R。我们首次验证了 IPSS-M 和其他分子预后模型,并使用来自南美洲患者的数据将其与已建立的 IPSS-R 和 AIPSS-MDS 模型进行比较。
回顾性分析了 145 例 MDS 患者和 37 例 MDS/骨髓增生性肿瘤患者的分子和临床数据。
预后能力评估显示,IPSS-M(哈雷尔一致性[C]-指数:0.75,受试者工作特征曲线下面积[AUC]:0.68)预测总生存情况优于欧洲 MDS(EuroMDS;C-指数:0.72,AUC:0.68)和慕尼黑白血病实验室(MLL)(C-指数:0.70,AUC:0.64)模型。IPSS-M 的预后判别能力与 AIPSS-MDS 模型相似(C-指数:0.74,AUC:0.66),优于 IPSS-R 模型(C-指数:0.70,AUC:0.61)。考虑到简化临床管理的低危和高危分组,将 IPSS-R 分层(分别为 57%和 32%,风险比[HR]:2.8;=0.002)为 IPSS-M 后,12.6%的患者被上调风险,5%的患者被下调风险(HR:2.9;=0.001)。AIPSS-MDS 将低危队列中的 51%重新分类为高危,没有患者下调风险(HR:5.6;<0.001),与大多数需要改变疾病治疗的患者一致。
与 IPSS-R、EuroMDS 和 MLL 模型相比,IPSS-M 和 AIPSS-MDS 模型提供了更准确的生存预后。AIPSS-MDS 模型是评估所有 MDS 患者风险的有效选择,特别是在目前分子检测不是标准临床实践的资源有限的中心。