Open AccessA novel prognostic model for angioimmunoblastic T-cell lymphoma: A retrospective study of 55 cases
Author(s) -
Jie Sun,
Sha He,
Hong Cen,
D B Zhou,
Zhe Li,
Mingyue Wang,
Qing Ke,
Baoqiang Guo,
Chengcheng Liao,
Rong Chen,
Dani Zhong,
Xiaohong Tan
Publication year - 2021
Publication title -
journal of international medical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 57
eISSN - 1473-2300
pISSN - 0300-0605
DOI - 10.1177/03000605211013274
Subject(s) - medicine , receiver operating characteristic , proportional hazards model , angioimmunoblastic t cell lymphoma , serous fluid , multivariate analysis , oncology , retrospective cohort study , survival analysis , pneumonia , lymphoma , area under the curve , gastroenterology , immunology , t cell , immune system
Objective To explore prognostic factors and develop an accurate prognostic prediction model for angioimmunoblastic T-cell lymphoma (AITL).Methods Clinical data from Chinese patients with newly diagnosed AITL were retrospectively analysed. Overall survival (OS) and progression-free survival (PFS) were estimated using Kaplan-Meier method survival curves; prognostic factors were determined using a Cox proportional hazards model. The sensitivity and specificity of the predicted survival rates were compared using area under the curve (AUC) of receiver operating characteristic (ROC) curves.Results The estimated 5-year OS and PFS of 55 eligible patients with AITL were 22% and 3%, respectively. Multivariate analysis showed that the presence of pneumonia, and serous cavity effusions at initial diagnosis were significant prognostic factors for OS. Based on AUC ROC values, our novel prognostic model was superior to IPI and PIT based models and suggested better diagnostic accuracy.Conclusions Our prognostic model based on pneumonia, and serous cavity effusions at initial diagnosis enabled a balanced classification of AITL patients into different risk groups.