Burkitt lymphoma associated with human immunodeficiency virus infection and pulmonary tuberculosis: A case report

Long-Term Survival Rates and Treatment Trends of Burkitt Lymphoma in Patients with HIV-A National Cancer Database (NCDB) Study

BACKGROUND

Burkitt lymphoma (BL) accounts for 10-35% of AIDS-defining lymphoma in people with HIV (PWH). Previous research consisting of smaller cohorts has shown decreased survival for HIV-associated BL. This study aims to compare overall mortality in BL patients with and without HIV, while investigating impact of treatment modalities in HIV-associated BL.

METHODS

Using the 2004-2019 NCDB, we identified 4312 patients with stage 3 or 4 BL who had a known HIV status and received either chemotherapy alone or chemotherapy and immunotherapy. Time to death was evaluated using Kaplan-Meier survival estimates. Risk of death was evaluated using an extended multivariable Cox model adjusted for multiple factors and with a Heaviside function for HIV status by time period (0-3 month vs. 3-60 month).

RESULTS

Of the 4312 patients included, 1514 (35%) had HIV. For months 0-3 from time of diagnosis, HIV status was not associated with a statistically significant increase in risk of death (HR = 1.04, 95% CI: 0.86, 1.26, p = 0.6648). From month 3to 60, positive HIV status was associated with a 55% increase in risk of death compared to those without HIV (95% CI: 1.38, 1.75, p < 0.0001). Further, this difference in hazard rates (0-3 vs. 3-60) was statistically significant (HR = 1.49, 95% CI: 1.22-1.82, p < 0.001).

CONCLUSIONS

There is an increased mortality rate from months 3 to 60 in BL patients with HIV compared to patients without HIV. Additionally, risk of death in the first 3 months is significantly decreased by 45% in patients with HIV treated with combination chemotherapy and immunotherapy compared to patients without HIV receiving combination chemotherapy and immunotherapy, providing valuable clinical insight into treatment decision making in the care of HIV-associated BL.

The Value of Nutritional Status in the Prognostic Analysis of Patients with AIDS-Related Lymphoma

Objective

Many studies have suggested that indexes of nutritional status, such as body mass index (BMI), serum albumin (ALB), serum pre-albumin (PA), and hemoglobin, may be used as risk factors for the prognosis of HIV or lymphoma. Therefore, this study aimed to retrospectively analyze and explore the value of nutritional status in the prognostic assessment of patients with AIDS-related lymphoma (ARL).

Methods

In this retrospective study, the clinical data of 69 patients with ARL were collected. All patients had a definite diagnosis of non-Hodgkin lymphoma by pathological examination and met the requirements of the Hematopoietic and Lymphocytic Tissue Tumor Classification (2016) established by the World Health Organization. Patients who did not receive standard chemotherapy, those with incomplete medical records, and those with an unclear pathological diagnosis were excluded. The patients were divided into two groups (survival and death) according to the prognostic outcome, and their clinical characteristics and prognoses were discussed by relevant statistical methods.

Results

During the three-year follow-up period, 20 (28.99%) patients died, and 49 (71.01%) survived. The one-year cumulative survival rate was 78.26%. A univariate analysis found that the prognosis was associated with the International Prognostic Index (IPI) score, BMI, ALB, PA, and CD4 T lymphocyte count. The Cox risk proportional regression analysis showed that the IPI score, BMI, and PA were the independent risk factors for survival; their combination had a greater ability to forecast the clinical outcome (area under the curve = 0.874, P < 0.001).

Conclusion

In this study, at the time of the visit, the patients with ARL tended to be in the advanced stages of disease and, therefore, at high risk of mortality. Therefore, their nutritional status might be of great value to the prognostic assessment. The combination of BMI, PA, and IPI scores could be used for risk stratification and better screening of high-risk patients.