Pb2143: Clinical Characteristics and Prognostic Features of 63 Hiv-Associated Diffuse Large B-Cell Lymphoma: A Single-Center Real-World Study in China

Wang, Chao; Liu, J.; Liang, Xiaolong; Liu, Y.

doi:10.1097/01.hs9.0000851404.48738.35

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relative risk of HL is 5–26 times that of the general population in patients with HIV ( 1 ). Diffuse large B cell lymphoma (DLBCL) and primary central nervous system lymphoma (PCNSL) are the most common HIV infection-associated lymphomas, the incidence of HIV infection was 453 and 233 per 100,000 patients, respectively ( 2 ), and its main clinical manifestations were fever of unknown cause, lymphadenopathy, and abdominal pain ( 3 ), which seriously affected the health and quality of life of patients. The occurrence of HIV-associated lymphoma is related to immunosuppression, inflammatory cascade, and cytokine imbalance caused by HIV invasion ( 4 ).…”

Section: Introductionmentioning

confidence: 99%

Prognostic value of nutritional status in patients with human immunodeficiency virus infection-related lymphoma

Liu

Hu²,

Lv³

et al. 2022

Front. Nutr.

View full text Add to dashboard Cite

ObjectiveTo investigate the predictive value of nutritional status on the prognosis of patients with human immunodeficiency virus (HIV) infection-related lymphoma.Materials and methodsA total of 149 patients with HIV infection-related lymphoma who were admitted to our hospital from August 2012 to May 2022 were selected as research subjects. Based on the patient prognosis, they were divided into a poor prognosis group (n = 30) and a good prognosis group (n = 119). General data from patients in both groups were collected, and the nutritional status of the patients was evaluated using the Controlling Nutritional Status (CONUT) score. Factors affecting the prognosis of HIV infection-related lymphoma were analyzed using univariate and multivariate analyses, and a prediction model was developed based on the analyzed factors. The receiver operating characteristic (ROC) curve was used to analyze the prediction model of the CONUT score alone and included the CONUT score in the prognosis of patients with HIV infection-related lymphoma. The predictive value of the data was assessed, and a survival curve was drawn to compare the survival of patients with different nutritional statuses.ResultsThere were significant differences in age, B symptoms, treatment conditions, International Prognostic Index (IPI), pathological stage, Eastern Collaborative Tumor Group physical status score (ECOG PS), CD4+ cell count, β2 microglobulin, and lactate dehydrogenase (LDH) between the poor prognosis group and the good prognosis group (p < 0.05). The CONUT score of the poor prognosis group was higher than that of the good prognosis group, and the difference was statistically significant (p < 0.05). A univariate analysis demonstrated that the age, B symptoms, treatment status, IPI, pathological stage, ECOG PS, CD4+ cell count, β2 microglobulin, LDH, and CONUT score were prognostic factors for patients with HIV infection-related lymphoma (p < 0.05). The results of a multivariate regression analysis demonstrated that the age, B symptoms, treatment status, IPI, pathological stage, ECOG PS, and CONUT score were independent risk factors for the prognosis of patients with HIV infection-related lymphoma (p < 0.05). The prediction model was constructed according to the multivariate Cox regression analysis results. The model formula was as follows: Logit(p) = −10.687 + 1.728 × age + 1.713 × B symptoms + 1.682 × treatment status + 1.810 × IPI + 1.643 × pathological stage + 1.584 × ECOG PS + 1.779 × CONUT score. The ROC curve was used to analyze the predictive value of the CONUT score alone and the predictive model including the CONUT score on the prognosis of patients with HIV infection-related lymphoma. The predictive value of the prognosis of patients with tumors was higher (p < 0.05). According to the results of the ROC curve analysis, the patients were divided into a high CONUT group (CONUT > 6.00 points, n = 31) and a low CONUT group (CONUT ≤ 6.00 points, n = 118) based on the Optimum threshold of the CONUT score. The survival curve showed that the survival rate of the high CONUT group was lower than that of the low CONUT group (p < 0.05).ConclusionThe poor prognosis of HIV infection-related lymphoma is related to nutritional status, which is an independent risk factor affecting the prognosis of patients and can be used as a practical indicator to predict the prognosis of patients.

show abstract

Section: Introductionmentioning

confidence: 99%