Prognostic nomogram incorporating radiological features for predicting overall survival in patients with AIDS-related non-Hodgkin lymphoma.
10.1097/CM9.0000000000001785
- VernacularTitle:Prognostic nomogram incorporating radiological features for predicting overall survival in patients with AIDS-related non-Hodgkin lymphoma
- Author:
Xueqin LI
1
;
Ziang PAN
2
;
Xing WANG
1
;
Tianli HU
3
;
Wen YE
4
;
Dongmei JIANG
5
;
Wen SHEN
6
;
Jinxin LIU
3
;
Yuxin SHI
4
;
Shuang XIA
6
;
Hongjun LI
1
Author Information
1. Radiological Department, Beijing You'an Hospital Affiliated of Capital Medical University, Beijing 100069, China.
2. Neurological Department, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
3. Radiological Department, The Eighth People's Hospital of Guangzhou, Guangzhou, Guangdong 510060, China.
4. Radiological Department, Shanghai Public Health Clinical Center, Affiliated of Fudan University, Shanghai 201058, China.
5. Radiation Department, Tianjin First Central Hospital, Tianjin 300170, China.
6. Radiological Department, Tianjin First Central Hospital, Tianjin 300192, China.
- Publication Type:Journal Article
- MeSH:
Acquired Immunodeficiency Syndrome;
Humans;
Lymphoma, Non-Hodgkin;
Neoplasm Staging;
Nomograms;
Prognosis;
Retrospective Studies
- From:
Chinese Medical Journal
2021;135(1):70-78
- CountryChina
- Language:English
-
Abstract:
BACKGROUND:Acquired immune deficiency syndrome (AIDS)-related non-Hodgkin lymphoma (AR-NHL) is a high-risk factor for morbidity and mortality in patients with AIDS. This study aimed to determine the prognostic factors associated with overall survival (OS) and to develop a prognostic nomogram incorporating computed tomography imaging features in patients with acquired immune deficiency syndrome-related non-Hodgkin lymphoma (AR-NHL).
METHODS:A total of 121 AR-NHL patients between July 2012 and November 2019 were retrospectively reviewed. Clinical and radiological independent predictors of OS were confirmed using multivariable Cox analysis. A prognostic nomogram was constructed based on the above clinical and radiological factors and then provided optimum accuracy in predicting OS. The predictive accuracy of the nomogram was determined by Harrell C-statistic. Kaplan-Meier survival analysis was used to determine median OS. The prognostic value of adjuvant therapy was evaluated in different subgroups.
RESULTS:In the multivariate Cox regression analysis, involvement of mediastinal or hilar lymph nodes, liver, necrosis in the lesions, the treatment with chemotherapy, and the CD4 ≤100 cells/μL were independent risk factors for poor OS (all P < 0.050). The predictive nomogram based on Cox regression has good discrimination (Harrell C-index = 0.716) and good calibration (Hosmer-Lemeshow test, P = 0.620) in high- and low-risk groups. Only patients in the high-risk group who received adjuvant chemotherapy had a significantly better survival outcome.
CONCLUSION:A survival-predicting nomogram was developed in this study, which was effective in assessing the survival outcomes of patients with AR-NHL. Notably, decision-making of chemotherapy regimens and more frequent follow-up should be considered in the high-risk group determined by this model.
