Development of a novel prognostic nomogram for AIDS-associated diffuse large B-cell lymphoma: a retrospective study

Ying Liang1, Jing Chang2, Yuxue Gao3

  • 1Beijing Key Laboratory for HIV/AIDS Research, Clinical and Research Center for Infectious Diseases, Beijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.

PubMed

Insights

A new prognostic model improves risk assessment for AIDS-related diffuse large B-cell lymphoma (AR-DLBCL). This tool enhances overall survival prediction, outperforming existing indices for personalized treatment strategies.

Area of Science:

  • Oncology
  • Hematology
  • Infectious Diseases

Background:

  • AIDS-related diffuse large B-cell lymphoma (AR-DLBCL) poses significant challenges despite antiretroviral therapy.
  • Disease heterogeneity in AR-DLBCL complicates accurate prognostic assessment.
  • Existing prognostic tools lack sufficient accuracy for this patient population.

Purpose of the Study:

  • To develop and validate a novel prognostic model for AR-DLBCL.
  • To enhance risk stratification and personalize treatment strategies for AR-DLBCL patients.
  • To identify key clinical factors influencing overall survival (OS) and progression-free survival (PFS) in AR-DLBCL.

Main Methods:

  • Retrospective analysis of 90 AR-DLBCL cases.
  • Univariate and multivariate analyses to identify prognostic factors.
  • Development of a nomogram based on independent OS predictors.

Main Results:

  • Key OS predictors identified: decreased absolute lymphocyte count, extranodal involvement, reduced hemoglobin, Epstein-Barr virus infection, and elevated lactate dehydrogenase.
  • The developed nomogram showed superior predictive performance (C-index=0.849) compared to IPI (0.708) and aaIPI (0.693).
  • The nomogram effectively stratified patients into distinct risk groups with significant survival differences.

Conclusions:

  • The novel nomogram provides a robust and personalized risk assessment for AR-DLBCL.
  • This model facilitates more precise prognosis prediction.
  • It aids in guiding individualized treatment decisions for AR-DLBCL patients.

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