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

Authors Sun Y, Luo J, Qian C, Luo L, Xu M, Min H, Cen Y

Received 16 December 2020

Accepted for publication 24 February 2021

Published 18 March 2021 Volume 2021:14 Pages 1105—1113

DOI https://doi.org/10.2147/IDR.S295077

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Suresh Antony


Yanbo Sun,1,* Jing Luo,2,* Chuan Qian,3,* Lan Luo,3 Manqi Xu,1 Haiyan Min,3 Yunyun Cen1

1Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650101, People’s Republic of China; 2Department of Gastrointestinal Surgery, The First People’s Hospital of Qujing, Qujing, 655000, People’s Republic of China; 3The Second Department of Infection, Yunnan Provincial Infectious Disease Hospital, Kunming, 650301, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Yunyun Cen
Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Kunming Medical University, No. 374 of Yunnan-Burma Road, Kunming City, Yunnan Province, 650101, People’s Republic of China
Tel +86-871-63402778
Fax +86-871-65361017
Email [email protected]
Haiyan Min
The Second Department of Infection, Yunnan Provincial Infectious Disease Hospital, Shi’an Highway in Kunming, Kunming City, Kunming, Yunnan Province, 650301, People’s Republic of China
Tel/Fax +86-871-68728053
Email [email protected]

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.

Keywords: AIDS-related lymphoma, body mass index, pre-albumin, prognostic factor, retrospective analysis

Introduction

The introduction of highly active antiretroviral therapy (cART) has dramatically improved the survival quality, immune function, and life expectancy of patients with HIV infection and reduced the morbidity of opportunistic infections and malignant tumors. However, malignant lymphoma remains the primary cause of AIDS-related death and the most common malignant neoplasm.1,2 Since the 1980s, non-Hodgkin lymphoma (NHL) has been considered an AIDS-defining cancer and nominated as an AIDS-related lymphoma (ARL).3,4 In the pre-cART era, the risk of NHL in HIV-positive patients was 60–200 times higher than that in the general population, and 16% of patients with AIDS died from ARL.5–7

Patients with ARL have a high incidence of immunodeficiency and malnutrition due to the coexistence of HIV infection and lymphoma, both of which are chronic immunodepleting diseases. Due to its insidious onset in the early stages, ARL is usually in stage III or IV at the time of confirmed diagnosis, with B symptoms as the main manifestation. Malnutrition is common in patients with ARL; this not only accelerates the disease progression but also causes a certain risk of antiviral and chemotherapy toxicity, which is correlated with the survival rate in prognosis.8–10 Currently, many studies suggest that indexes of nutritional status, such as body mass index (BMI), serum albumin (ALB), serum pre-albumin (PA), and hemoglobin (Hb), may be used as risk factors for the prognosis of HIV or lymphoma.11–15 Therefore, in this study, a retrospective analysis was conducted and relevant data collected and combined with the prognostic factors of lymphoma to explore the value and significance of nutritional status in the prognostic assessment of ARL.

Patients Materials and Methods

Study Subjects

This study enrolled 69 patients with ARL who were admitted to the hospital from January 2017 to January 2019. The AIDS diagnosis had been confirmed by a local center or the Yunnan Provincial Center for Disease Control and Prevention and met the standards of the 2018 AIDS Diagnosis and Treatment Guidelines and the HIV/AIDS Diagnostic Criteria and Treatment Principles.16 All patients had a definite diagnosis of NHL by pathological examination and met the requirements of the Hematopoietic and Lymphocytic Tissue Tumor Classification (2016) established by the World Health Organization (WHO).17 Patients who did not receive standard chemotherapy, those with incomplete medical records, and those with an unclear pathological diagnosis were excluded. The standardized cART + CHOP/diffuse large B-cell lymphoma (DLBCL) R-CHOP therapy was conducted in all enrolled patients with a definite diagnosis confirmation and followed up through hospitalization, outpatient review, or telephone interview. The deadline for the follow-up was January 2020. Two cases were lost during the three-year follow-up for a follow-up rate of 97.10%. For those lost during follow-up, the last follow-up date was taken as the end time. The median follow-up time was 16 months, with a range of 12–34 months.

The patients’ hospital infectious disease specialist hospital in Yunnan Province as the third rate of infectious disease specialist hospital, Kunming Medical University affiliated hospital of infectious diseases, is the national WeiJianWei and AIDS antiviral treatment training base in Yunnan Province for HIV/AIDS clinical diagnosis, treatment of infectious diseases and related services for diseases, professional training, technical guidance, scientific research, foreign exchange and cooperation, and other public health functions. The department of patient treatment is a key clinical specialty in Yunnan Province.

Methods

The patients’ BMI, ALB, PA, Hb, absolute lymphocyte count (ALC), CD4, lactate dehydrogenase, Ann Arbor stage of lymphoma, pathological subtype, International Prognostic Index (IPI) of lymphoma, and cART treatment information (if received) were collected and sorted. The patients were divided into the group that survived and the group that died.

Nutritional Indexes

According to European Society for Parenteral and Enteral Nutrition (ESPEN), BMI is the ratio of weight to height squared (kg/m2). The nutritional status was divided into four levels, i.e., normal nutritional status and mild, moderate, and severe malnutrition, according to the BMI cut-off point: ≥18.5 kg/m2 (normal), 17–18.4 kg/m2 (light), 16–16.9 kg/m2 (medium), <16 kg/m2 (heavy), respectively.15,18,19 Malnutrition was defined as ALB <35 g/L, PA <170 mg/L, and Hb <120 g/L.15,20,21

Statistical Analysis

The SPSS 22.0 software was used for the statistical analysis. The Kaplan–Meier method was used for the univariate analysis of prognosis, and the Log rank test was used for comparison between groups. The variables with P < 0.05 in the univariate analysis were included in the multivariate analysis. The Cox regression model was adopted for the multivariate analysis of prognosis, and the screened factors were introduced into the logistic regression equation to calculate the prediction probability of an outcome and draw the receiver operating characteristic (ROC) curve. The area under the curve (AUC) was compared, and a value of P < 0.05 was considered statistically significant.

Results

General Characteristics and Clinical Features

Among the 69 patients with ARL, 57 (82.61%) were male and 12 (17.39%) female, with a male/female ratio of 4.75:1. The age ranged between 21 and 73 years, with a median age of 48; among the patients, 9 were older than 60 (13.04%). In total, 35 cases (50.72%) were found to be HIV-positive with concomitant lymphoma. The average duration for 34 of the patients to develop ARL after HIV infection was 53.03 months, with the longest duration being 168 months. The main route of HIV infection was sexual transmission in 58 cases (84.06%), followed by intravenous drug use in 7 cases (10.1%) and blood transfusion and surgical history in 3 cases (4.35%). There were four cases involving couples among those with sexual transmission of HIV. Regarding Ann Arbor stages I, II, III, and IV, there were 5 cases (7.2%), 11 cases (15.9%), 18 cases (26%), and 35 cases (50.7%), respectively. At the time of diagnosis, 53 (76.81%) cases were at stage III or IV. Considering the IPI score, there were 10 cases with low risk, 21 (30.4%) cases with moderate to low risk, 24 (34.8%) cases with moderate to high risk, and 14 (20.3%) cases with high risk. Thus, 38 (55.07%) cases had moderate to high or high risk. In 33 (47.82%) cases, the patients had started cART before the diagnosis of ARL. The pathological subtype was mainly DLBCL at 59 cases (85.51%). There were also six cases with Burkitt lymphoma, one case with plasmablastic lymphoma, and three cases with unclassified NHL of the B-cell source.

Of the 20 patients who died, 16 were male (80.00%), and 4 were female (20.00%); the male/female ratio was 4:1. Three were patients (33.33%) aged older than 60. There were 49 cases in the survival group, with 41 males (83.67%) and eight females (16.33%); the male/female ratio was 5.13:1. Six were patients (66.67%) aged older than 60. In the death group, the nutritional and immune indicators, including BMI, ALB, PA, Hb, ALC, and CD4, were all lower than those in the survival group (Table 1). In both groups, DLBCL was the most common pathological type. In the death group, the composition ratio of patients in Ann Arbor stages III/IV and the IPI score of those with moderate to high risk or high risk were greater than those in the survival group, while the rate of using cART was the opposite (Table 2).

Table 1 Nutritional and Immune Functional Indexes of 69 Patients with ARL with Different Clinical Outcomes (±s)

Table 2 Univariate Analysis of the Clinical Characteristics and Prognosis of 69 Patients with ARL

Univariate Analysis of the Prognostic Factors for ARL

Among the 69 patients included in the study, the date of diagnosis of ARL was used as the start time, the deadline date of follow-up as the end time, and the clinical outcome as the end event. The patients were divided into the survival and death groups, with an estimated one-year survival rate of 78.26%. The IPI score, BMI, ALB <35 g/L, PA <170 mg/L, and CD4 T lymphocyte count of <200 cells/μL were found to be correlated with the clinical outcomes of ARL by the univariate analysis using the Kaplan–Meier method. The differences between the groups were statistically significant. Gender, age ≥60 years, Hb ≥120 g/L, ALC ≥1 × 109/L, elevated Lactic Dehydrogenase (LDH), the Ann Arbor stage, the pathology type, and previous uptake of regular cART were not correlated with the clinical outcomes of ARL. The differences between the groups were not statistically significant (Table 2). The higher the IPI score, the lower the cumulative survival rate. However, the BMI, ALB, PA, and CD4 count were positively correlated with the cumulative survival rate (Figure 1).

Figure 1 The univariate survival function diagram of IPI, BMI, ALB, PA, and CD4 by the Kaplan–Meier method.

Multivariate Analysis of the Prognostic Factors for ARL

The univariates with statistical significance, e.g., IPI, BMI, ALB, PA, and CD4, were included in the multivariate Cox risk regression analysis. The results showed that IPI, BMI, and PA were risk factors affecting the prognosis of patients with ARL after standard treatment. In the case of PA <170 mg/L, BMI <16.9 kg/m2, and an IPI score of high risk, the Relative Risk was >1 in all, and the difference was statistically significant (P < 0.05). The difference was not statistically significant when the IPI score was moderate to low or moderate to high risk and BMI >17 kg/m2 (Table 3). The higher the IPI score, the lower the cumulative survival rate. However, the BMI and PA were positively correlated with the cumulative survival rate (Figure 2).

Table 3 Parameter Estimation and Test Results of the Cox Proportional Hazards Regression Model (χ2=38.107, P<0.001)

Figure 2 The multivariate survival function diagram of BMI, PA, and IPI score by the Cox risk regression analysis.

Prognostic Value

The IPI score, BMI, and PA were introduced into the logistic regression equation to calculate the outcome prediction probability and plot the ROC curve. Different curves and the AUC were compared. It was found that the combination of BMI, PA, and IPI was more predictive in evaluating the clinical outcome in patients with ARL, with a greater AUC than that of any single index (Table 4 and Figure 3).

Table 4 The Area Under the Curve of the ROC of IPI, BMI, PA and the Composite Indicator (PA+IPI+BMI)

Figure 3 The ROC curve of IPI, BMI, PA, and the composite indicator (PA+IPI+BMI).

Discussion

In AIDS, the CD4 T lymphocytes in the human body are continuously depleted after infection with the human immunodeficiency virus, resulting in impaired immune surveillance and barrier function. Prolonged low immune function can cause malignant changes in the immune cells, eventually leading to the development of ARL in patients with AIDS.22 These two diseases are not only causally correlated with each other but also exacerbate each other in terms of immune injury and nutritional depletion. Malnutrition is the earliest clinical symptom in patients with AIDS, with a prevalence of 98%. When the disease progresses to the advanced stage, almost all patients develop varying degrees of weight loss and cachexia.23 In patients who are HIV-positive and have lymphoma, fever, and weight loss are predominant in the clinic together with the universal occurrence of malnutrition. Although the underlying mechanisms of nutritional alterations in cancer remain unclear, the production of catabolic factors by the cancer cells combined with the pro-inflammatory response in the host may induce energy expenditure, resulting in weight loss and, ultimately, undernutrition.24 Studies have shown a six-fold increase in mortality among patients with HIV who lose more than 10% of their body weight, even in those who undertake cART.11

Since its formal proposal by Shipp et al in 1993, the IPI has been widely applied in the risk stratification of lymphoma. Patients with lymphoma are divided into four risk stratifications (low risk, moderate to low risk, moderate to high risk, and high risk) according to five indicators: age, LDH, Eastern Cooperative Oncology Group (ECOG) score, Ann Arbor stage, and extranodal involvement. The corresponding overall survival rate is obtained by follow-up.25,26 However, while the prognosis of DLBCL improves with the wide application of rituximab combined with chemotherapy, the IPI score’s ability in screening the risk stratification is limited and ignores the nutritional consumption and high metabolism of cancer cells based on immunodeficiency diseases.27,28 Age and LDH level affect the evaluation of stratification indicators in IPI scoring. Most patients with ARL are younger than 60 and have a generally high LDH level, which might affect their IPI scores. In the present study, there were only 9 patients (13.04%) older than 60; however, 46 patients (66.67%) had elevated levels of LDH, and 31 (44.93%) had IPI scores of low risk or moderate to low risk. Five (12.20%) patients died one year later. Therefore, it is difficult for the IPI scoring model alone to truly distinguish the high-risk population. New or composite indicators are needed to comprehensively assess the prognosis and screen the high-risk population to guide individualized clinical diagnosis and treatment.

The WHO advocates that a BMI of less than 18.5 kg/m2 is the stratification standard for malnutrition, and more clinicians have started recognizing this in the assessment, risk investigation, diagnosis, and treatment guidance of clinical nutrition. Park et al15 conducted a prospective cohort study on 262 patients diagnosed with DLBCL in a medical center in Seoul, South Korea, between September 2008 and December 2011. The results suggested that BMI, ALB, PA, and other nutritional indicators could be adopted as prognostic risk factors; however, a multivariate analysis found that BMI was the only indicator that could independently predict the overall survival. Patients with hypoalbuminemia (<3.5 g/L) are considered to have malnutrition. However, albumin has a long half-life (15–21 days) and is affected by inflammation. Bias may be caused by clinical measures of human albumin infusion to improve edema or promote wound healing. Thus, there are several controversies regarding the value of albumin in reflecting the visceral protein.20,29 While serum PA is not affected by systematic inflammation due to its short half-life (2–3 days), it is more sensitive to insufficient energy and protein intake than albumin and can better reflect the recent dietary intake. Therefore, serum PA may be used as an alternative nutritional marker and screening tool for malnutrition.21,30 Although transferrin also has a short half-life (7–10 days), its level is greatly affected by the iron level and is usually not adopted as a nutritional parameter. In the present study, there were 20 cases (28.99%) with BMI <18.4 kg/m2, 23 cases (33.33%) with ALB <35 g/L, 31 cases (44.93%) with PA <170 mg/L, and 41 cases (59.42%) with Hb <120 g/L.

The clinical outcome of ARL has been improved in recent years. Due to the synergistic effects of chemotherapy and antiviral therapy, the two-year survival rate can reach 60%.31 Moreover, the five-year survival rate of patients who achieve complete remission through first-line chemotherapy may be as high as 87.8%.32 Whether to undertake chemotherapy has been recognized as an independent prognostic factor for lymphoma, even in patients positive for HIV infection. However, there have been few studies on the survival analysis after chemotherapy, and there are many confounding prognostic factors that are biased and difficult to evaluate. In the present study, a retrospective analysis of the nutritional status and clinical characteristics of the 69 patients with ARL found that most patients were in the advanced stage of the disease at the time of diagnosis; stages III and IV and an IPI score ≥3 were more common in these patients. Nearly one-third of the patients had a BMI lower than 18.5 kg/m2, and more than half had varying degrees of malnutrition. Two patients with severe malnutrition had a poor prognosis and survived less than three months. Using the univariate K–M method and multivariate Cox risk regression analysis, it was found that the IPI score, BMI, and PA were all risk factors for the survival and prognosis of patients with ARL and shared the same value in the evaluation of the disease development. The combination of these three indicators might be more reliable than any single factor in evaluating patients’ clinical outcomes. It was also found in the present study that the CD4 count was statistically significant in the univariate analysis but became a confounding factor when introduced into the multivariate analysis and, thus, could not be used as a prognostic factor. This was consistent with Kaplan’s results.33 The short follow-up duration of the present study resulted in more censored values. The research data were all from the patients during treatment, and there was a lack of data from the treatment interval and period after treatment. Therefore, a multi-center, large-sample prospective study is needed to verify the results of the present research. Once confirmed, these findings will have clinical value and play a role in the screening of high-risk patients, conduction of nutritional therapy, and development of treatment to improve survival and life expectancy.

In summary, the present research retrospectively analyzed and explored the prognostic value of nutritional status in ARL and found that patients with ARL are primarily in the advanced stage of disease at the time of diagnosis, with different degrees of malnutrition generally. The combination of nutritional status and IPI score could better screen and differentiate patients at high risk earlier and aid in implementing individualized treatment and nutritional intervention. The indicators of nutritional status used herein were easy to obtain and simple to operate. After further confirmation, these indicators might be expected to become prognostic indicators for clinical evaluation of and self-testing in patients.

Ethics Approval and Consent to Participate

This study was conducted with approval from the Ethics Committee of The second Affiliated Hospital of Kunming Medical University, This study was conducted in accordance with the declaration of Helsinki. Written informed consent was obtained from all participants.

Acknowledgments

We would like to acknowledge the hard and dedicated work of all the staff that implemented the intervention and evaluation components of the study.

Funding

This study was supported by Fund Project of Yunnan Surgical Clinical Nutrition Research Center (2018NS0317,2018NS0318); Basic Research Plan of Yunnan Province [Joint Project of Kunming Medical College, 2019FE001(–223),2019FE001(–167)]; Medical Reserve Personnel Training Plan of Yunnan Provincial Health Commission (H-2018067); and Funds for Talent Project of the Second Affiliated Hospital of Kunming Medical University (Special Project for Famous Doctors).

Disclosure

The authors declare that they have no competing interests.

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