Brief Reports |
1 Chelsea and Westminster Hospital, London
2 Brighton and Sussex University Hospital NHS Trust
3 UCL Medical School, London
4 St. Marys NHS Trust, London
5 St. Bartholomews and the Royal London Hospitals
6 Kings College London School of Medicine at Guys, Kings College and St. Thomas Hospitals, London
7 Royal Free NHS Trust, London
8 Western General Hospital, Edinburgh
9 University College London
10 North Middlesex University Hospital NHS Trust
11 Homerton University Hospital NHS Foundation Trust, London
12 Medical Research Council Clinical Trials Unit, London
13 North Bristol NHS Trust, Bristol, UK
Correspondence: Professor Caroline A. Sabin, Research Department of Infection and Population Health, Division of Population Health, UCL Medical School, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. E-mail:c.sabin{at}pcps.ucl.ac.uk
ABSTRACT
Since the introduction of highly active antiretroviral therapy, there has been a decline in the incidence of non-Hodgkins lymphoma among HIV-infected individuals. We described trends in the incidence of systemic non-Hodgkins lymphoma in the UK CHIC Study from 1996–2006 and evaluated the association between immunosuppression and development of systemic non-Hodgkins lymphoma: 286/23,155 (1.2%) individuals developed an AIDS-defining lymphoma (258 systemic). Younger age, receipt of highly active antiretroviral therapy and later calendar year were all independently associated with a reduced risk of systemic non-Hodgkins lymphoma. A lower latest CD4 count was strongly associated with systemic non-Hodgkins lymphoma, in patients who had (RR per log2(cells/mm3) higher: 0.62) and had not (0.70) received highly active antiretroviral therapy. Associations with other measures of immunosuppression, including nadir CD4 count, experience and duration of severe immunosuppression, were generally weaker. Earlier highly active anti-retroviral therapy initiation and wider access to HIV testing is advocated to reduce the risk of systemic non-Hodgkins lymphoma.
Key words: non-Hodgkins lymphoma, HIV, immunosuppression, CD4 count, cohort study.
Introduction
Registry linkage studies in the pre-highly active antiretroviral therapy (HAART) era found that the incidence of high grade B-cell non-Hodgkins lymphoma (NHL) in HIV-infected individuals was 60–200 times higher than that in HIV-uninfected persons. The introduction of HAART during the mid-1990s has been associated with a fall in incidence of opportunistic infections and AIDS-associated malignancies.1,2 The decline in NHL has been attributed to the immune reconstitution produced by HAART3 but this association remains uncertain. The aim of this study was to investigate the effects of demographic, immunological and treatment-related variables on the incidence of systemic NHL in a large multi-center cohort study.
Design and Methods
The UK Collaborative HIV Cohort (UK CHIC) Study is a collaboration of some of the largest HIV treatment centers in the UK. The dataset contains routinely collected clinical data on all HIV-infected individuals >16 years of age attending one of the centers since 1st January 1996.4 The dataset used for this analysis contains information on 29,056 individuals from eleven centers (Online Supplementary Appendix) until 2006. The UK CHIC Study was approved by a multicenter research ethics committee and by local ethics committees.
Of the 29,056 individuals in the dataset, 5,901 were excluded as they had no prospective CD4 count measurements, their only CD4 counts were after diagnosis of NHL, they had NHL prior to or at cohort entry (only 32 patients were diagnosed concomitantly with HIV and NHL). Follow-up was determined from the latest date of 1st January 1996, first clinic attendance or first CD4 count until NHL diagnosis; follow-up on patients without NHL was censored at death/three months after the patients last CD4 count. Only AIDS-defining NHL were considered; these were grouped as systemic (diffuse large B-cell, immunoblastic, Burkitts, Burkitts-like or histological subtype unknown) or primary cerebral NHL (PCL).
All analyses were performed using the statistical package SAS, version 9.1. Univariable Poisson regression identified factors associated with the incidence of systemic NHL. As the number of patients developing PCL was too small for robust analyses, follow-up on patients developing PCL was censored at lymphoma diagnosis. Variables significantly associated with systemic NHL (p<0.05) were included in a multivariable model to identify the factors independently associated with systemic lymphoma. In addition to demographic/clinical variables (sex, ethnicity, exposure group, calendar year, age, receipt of HAART, latest HIV RNA), we also considered various measures of immunosuppression, including the nadir and latest CD4 count, whether the patient had experienced severe immunosuppression (
1 CD4 count <200 cells/mm3), and the cumulative duration of severe immunosuppression (time with CD4 count <200 cells/mm3) (as time-updated variables). Whilst all continuous variables were categorized in exploratory analyses, we investigated whether inclusion of each variable as a continuous covariate would be appropriate in multivariable regression models. Thus, the latest CD4 count and viral load and the duration of immunosuppression were included as continuous covariates. In contrast, as few patients on HAART had a nadir CD4 >350 cells/mm3, the three highest categories of this variable were combined, and the variable was retained as a categorical variable.
HAART was defined as any combination that included a non-nucleoside reverse transcriptase inhibitor, a pro-tease inhibitor, abacavir or enfurvitide (T-20). Whilst our definition of HAART could include patients starting fewer than 3 drugs, 98% of patients in UK CHIC start regimens including
3 drugs. Analyses were also performed separately in those who had and had not received HAART (with patients starting HAART contributing to both analyses). Of note, models that include CD4 count nadir together with the latest CD4 count are meaningful only in the context of ART-experienced patients. Sensitivity analyses considered the association between the latest CD4 count and the risk of systemic NHL separately in those with suppressed (
50 copies/mL) and unsuppressed viral loads.
Results and Discussion
The 23,155 individuals were followed for a total of 120,361 years (median 3.8, range 0.0–11.7). Over this time, 286 (1.2%) developed an AIDS-defining lymphoma (Table 1), of whom 131 (45.8%) have died (median survival: 0.3 (95% CI 0.2–0.4) years). Patients with systemic NHL and PCL were broadly similar in terms of sex, ethnicity, risk group and age (Table 1) but CD4 counts were lower and viral loads higher in those with PCL. The median time between consecutive CD4 counts was 100 days (interquartile range: 77–137) and the median time from the last CD4 count to lymphoma diagnosis was 25 (0–60) days.
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Table 1. Characteristics of patients developing systemic and primary cerebral lymphomas, and those not developing lymphoma, at entry to the study.
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Table 2. Results from univariable Poisson regression analyses of factors associated with development of systemic lymphomas.
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In univariable analyses (Table 3), all markers of immunosuppression were strongly associated with the risk of systemic NHL both in those receiving and not receiving HAART (Table 3, top). Patients with lower nadir CD4 counts, those who had ever experienced severe immunosuppression and those who had been exposed to severe immunosuppression for longer periods of time were all at higher risk of developing systemic NHL regardless of whether they were receiving HAART, although relative rates were generally closer to unity in those who had received HAART. Furthermore, a higher latest viral load was associated with an increased risk of systemic NHL in both groups of patients. After adjustment for age and calendar year (Table 3, bottom), the latest CD4 count remained strongly associated with the systemic NHL rate in both groups of patients. After adjustment for this variable, however, the association with the nadir CD4 count (in those who had received HAART only), whilst statistically significant, was weaker and did not suggest a higher systemic NHL rate in those with the lowest nadirs. After adjusting for the latest CD4 count, there was no independent relationship between the systemic NHL rate and the duration of severe immunosuppression regardless of HAART exposure. The fact that a patient had experienced severe immunosuppression, however, was independently associated with an increased systemic NHL rate, particularly in those who were not receiving HAART (RR 2.05 [1.30–3.24], p=0.002). These associations were similar in models that additionally included the latest viral load which was significantly associated with the systemic NHL rate. Similar results were obtained after stratifying according to the latest viral load (
or > 50 copies/mL) rather than HAART status (data not shown).
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Table 3. Results from a series of univariable and multivariable Poisson regression analyses showing the relationships between the systemic lymphoma rate, the latest CD4 count, and other measures of advanced HIV infection.
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production16 and higher EBV viral loads are associated with both HIV infection and lower CD4 cell counts.17 Previous studies have shown that the CD4 count at cohort enrolment13,18 or at AIDS diagnosis,19 the nadir CD413,18 and latest CD4 count20 are each associated with an increased risk of NHL. In the present analyses, whilst each measure was associated with an increased NHL risk, the variable most strongly correlated with NHL risk was the latest CD4 cell count. Our findings are similar to those from the CASCADE study in which the latest CD4 cell count was a better predictor of NHL risk than the nadir CD4 count, the time-weighted average CD4 count or the proportion of time with a CD4 cell count <100/mm3.20 Our finding that almost half of systemic NHL cases were among those with a latest CD4 count of >200 cells/mm3 and nearly a quarter with a latest count >350 cells/mm3 supports the recent shift towards earlier initiation of HAART as a means of further reducing the incidence of NHL.21,22 Additionally, given that a significant proportion of those diagnosed with NHL had low CD4 counts and had not had the opportunity to benefit from HAART, our data support recent strategies to widen HIV testing in order to reduce late diagnosis of HIV infection and optimize the benefits of treatment.23
Whilst our cohort tends to over-represent homosexual men, as it expands in size and geographical distribution this effect is declining. As with many large multi-center cohort studies, patients may be lost to follow-up and the CD4 cell count history may be incomplete for others. Our cohort did not have the benefit of central pathological review of systemic NHL and, indeed, many of the data collection tools do not distinguish between these. This may be important since previous studies have suggested that for Burkitts lymphoma, unlike other systemic lymphomas, risk does not correlate with CD4 count.19 In addition, compared to other HIV-infected patients with systemic NHL of the diffuse large B-cell type, those with Burkitts lymphoma are younger, with less advanced HIV disease.24
We have confirmed previous findings that the risk of systemic lymphoma has significantly declined in the HAART era and have confirmed that the risk of systemic NHL is most strongly associated with the latest CD4 count rather than the nadir CD4 count or duration of immunosuppression. However, the finding that a significant minority of cases occur at CD4 counts above those at which many individuals are diagnosed with HIV or HAART is generally initiated, supports a shift towards earlier initiation of HAART and wider access to HIV testing.
Footnotes
The online version of this article contains a supplementary appendix.
MF and IR designed the research; CAS, TH, LB and ANP performed all analyses, designed the tables and drafted the Methods and Results of the manuscript; MB and MF drafted the Introduction and Discussion sections of the manuscript; JW, CO, RG, PE, MJ, BG, CL, DP, AS, JA, MG and KP contributed to the design of the study, the ongoing collection of data and continued quality control, the interpretation of the results and have provided critical input into the final version of the manuscript prior to submission.
The authors declare no competing financial interests.
The authors reported no potential conflicts of interest.
Funding: for this work has been obtained from the Medical Research Council, UK (grant G0000199 and G0600337). The views expressed in this manuscript are those of the researchers and not necessarily those of the MRC.
Received for publication October 28, 2008. Revision received December 17, 2008. Accepted for publication January 9, 2009.
References
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