Jelicic Jelena, Juul-Jensen Karen, Bukumiric Zoran, Runason Simonsen Mikkel, Kragh Jørgensen Rasmus Rask, Roost Clausen Michael, Ludvigsen Al-Mashhadi Ahmed, Schou Pedersen Robert, Bjørn Poulsen Christian, Ortved Gang Anne, Brown Peter, El-Galaly Tarec Christoffer, Stauffer Larsen Thomas
Department of Hematology, Odense University Hospital, Odense, Denmark.
Institute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Ann Hematol. 2025 Jan;104(1):433-444. doi: 10.1007/s00277-024-06155-3. Epub 2024 Dec 31.
The International Prognostic Index (IPI) is the most frequently used tool for prognostication in patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL) of all ages. This study validated and compared six models developed for patients above 60 with International Prognostic Indices (IPI, R-IPI, NCCN-IPI). Moreover, we created a clinical nomogram with an online tool for individualized predictions. A total of 2,835 patients aged over 60 with newly diagnosed DLBCL treated with potentially curative immunochemotherapy were identified in the Danish Lymphoma Registry. A nomogram was developed by combining NCCN-IPI variables (excluding extranodal localization), albumin, and platelet levels in 1,970 patients and verified the results in the remaining 956 patients. Compared to other models, the elderly IPI (E-IPI) and age-adjusted IPI (aaIPI) showed better accuracy and discriminatory ability. However, the models failed to identify a high-risk group with a 3-year overall survival rate below 40%. Our nomogram-based model demonstrated superior discriminatory ability and provided more precise individual predictions than all other models based on a risk stratification system. Most clinical prognostic models fail to accurately predict patient outcomes in patients over 60 years old. Therefore, nomogram-based models should be considered in this population to prevent information loss due to variable dichotomization.
国际预后指数(IPI)是所有年龄段新诊断弥漫性大B细胞淋巴瘤(DLBCL)患者中最常用的预后评估工具。本研究验证并比较了针对60岁以上患者开发的六种模型与国际预后指数(IPI、R-IPI、NCCN-IPI)。此外,我们使用在线工具创建了一个临床列线图用于个体化预测。在丹麦淋巴瘤登记处识别出总共2835例60岁以上新诊断的DLBCL患者,他们接受了可能治愈的免疫化疗。通过合并1970例患者的NCCN-IPI变量(不包括结外定位)、白蛋白和血小板水平开发了一个列线图,并在其余956例患者中验证了结果。与其他模型相比,老年IPI(E-IPI)和年龄调整IPI(aaIPI)显示出更好的准确性和区分能力。然而,这些模型未能识别出3年总生存率低于40%的高危组。我们基于列线图的模型表现出卓越的区分能力,并且比基于风险分层系统的所有其他模型提供了更精确的个体预测。大多数临床预后模型未能准确预测60岁以上患者的预后。因此,在该人群中应考虑基于列线图的模型,以防止因变量二分法导致的信息丢失。