A promising prognostic model for predicting survival of patients with HIV‐related diffuse large B‐cell lymphoma in the cART era

Author:

Chen Juanjuan1ORCID,Wu Yihua1,Kang Zixin1,Qin Shanfang2,Ruan Guangjing3,Zhao Han14,Tao Xin1,Xie Zhiman3,Peng Jie1

Affiliation:

1. Department of Infectious Diseases Nanfang Hospital, Southern Medical University Guangzhou China

2. Guangxi AIDS Diagnosis and Treatment Quality Control Center Longtan Hospital of Guangxi Zhuang Autonomous Region Liuzhou China

3. Guangxi AIDS Clinical Treatment Center The Fourth People's Hospital of Nanning Nanning China

4. Infectious Diseases Center Guangzhou Eighth People's Hospital, Guangzhou Medical University Guangzhou China

Abstract

AbstractBackgroundOptimization of risk stratification is important for facilitating prognoses and therapeutic decisions regarding diffuse large B‐cell lymphoma (DLBCL). However, a simple and applicable prognostic tool is lacking for individuals with human immunodeficiency virus (HIV)‐related DLBCL in the era of combined antiretroviral therapy (cART).MethodsThis retrospective multicenter observational study included 147 HIV‐related DLBCL patients with histologically confirmed DLBCL from 2013 to 2020. The total group was divided into training (n = 78) and validation (n = 69) cohorts to derive the best prognostic score. Clinicopathological and characteristic biomarkers correlated with clinical outcomes were analyzed.ResultsAge, Ann Arbor stage, lactate dehydrogenase (LDH) ratio, bulky disease, and red blood cell distribution width (RDW) ratio retained robust independent correlations with overall survival (OS) in multivariate analysis. A new and practical prognostic model was generated and externally validated, classifying patients into three categories with significantly different survival rates. Moreover, the new index outperformed the International Prognostic Index (IPI) score (area under the curve values of 0.94 vs. 0.81 in the training cohort and 0.85 vs. 0.74 in the validation cohort, C‐indices of 0.80 vs. 0.70 in the training cohort and 0.74 vs. 0.70 in the validation cohort, and integrated discrimination improvement values of 0.203 in the training cohort and 0.175 in the validation cohort) and was better at defining intermediate‐ and high‐risk groups. The calibration curves performed satisfactorily for predicting 3‐year OS in the training and validation cohorts.ConclusionsWe developed and validated a simple and feasible prognostic model for patients with HIV‐related DLBCL that had more discriminative and predictive accuracy than the IPI score for risk stratification and individualized treatment in the cART era.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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