Leah Shepherd1, Lene Ryom2, Matthew Law3, Camilla Ingrid Hatleberg2, Stephane de Wit4, Antonella d'Arminio Monforte5, Manuel Battegay6, Andrew Phillips1, Fabrice Bonnet7, Peter Reiss8, Christian Pradier9, Andrew Grulich3, Caroline Sabin1, Jens Lundgren2, Amanda Mocroft1. 1. Research Department of Infection and Population Health, UCL, London, UK. 2. CHIP, Department of Infectious Diseases, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark. 3. The Kirby Institute, UNSW Australia, Sydney, Australia. 4. Division of Infectious Diseases, Saint Pierre University Hospital, Université Libre de Bruxelles, Brussels, Belgium. 5. Dipartimento di Scienze della Salute, Clinica di Malattie Infectitive e Tropicali, Azienda Ospedaliera-Polo Universitario San Paolo, Milan, Italy. 6. Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland. 7. CHU de Bordeaux and INSERM U1219, Université de Bordeaux, Bordeaux, France. 8. Academic Medical Center, Division of Infectious Diseases, Department of Global Health, University of Amsterdam, and HIV Monitoring Foundation, Amsterdam, the Netherlands. 9. Department of Public Health, Nice University Hospital, Nice, France.
Abstract
Background: Non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL) are increased in populations with immune dysfunction, including people living with HIV; however, there is little evidence for to what degree immunological and virological factors differently affect NHL and HL risk. Methods: Data from the Data Collection on Adverse events of Anti-HIV Drugs Study cohort were analyzed to identify independent risk factors for NHL and HL using hazard ratios (HRs), focusing on current and cumulative area under the curve (AUC) measures of immunological and virological status. Variables with different associations with NHL and HL were identified using marginal Cox models. All statistical tests were two-sided. Results: Among 41 420 people followed for 337 020 person-years, 392 developed NHL (incidence rate = 1.17/1000 person-years of follow-up [PYFU], 95% confidence interval [CI] = 1.06 to 1.30) and 149 developed HL (incidence rate = 0.44/1000 PYFU, 95% CI = 0.38 to 0.52). Higher risk of both NHL and HL was associated with lower current CD4 cell count (adjusted HR [aHR] of NHL for CD4 <100 vs > 599 cells/mm3 = 8.08, 95% CI = 5.63 to 11.61; HL = 4.58, 95% CI = 2.22 to 9.45), whereas higher current HIV viral load (aHR of NHL for HIV-VL >1000 vs < 50 copies/mL = 1.97, 95% CI = 1.50 to 2.59) and higher AUC of HIV-VL (aHR of NHL for highest vs lowest quintile = 2.91, 95% CI = 1.92 to 4.41) were associated with NHL only. Both current and AUC of HIV-VL were factors that had different associations with NHL and HL, where the hazard ratio for NHL was progressively higher than for HL with increasing HIV-VL category. Lower current CD4 cell count had a strong but similar association with both NHL and HL. Conclusions: CD4 depletion increased risk of both types of lymphomas while current and accumulated HIV-VL was associated with NHL only. This suggests that NHL development is related to both CD4 cell depletion and added immune dysfunction derived from ongoing HIV replication. This latter factor was not associated with HL risk.
Background: Non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL) are increased in populations with immune dysfunction, including people living with HIV; however, there is little evidence for to what degree immunological and virological factors differently affect NHL and HL risk. Methods: Data from the Data Collection on Adverse events of Anti-HIV Drugs Study cohort were analyzed to identify independent risk factors for NHL and HL using hazard ratios (HRs), focusing on current and cumulative area under the curve (AUC) measures of immunological and virological status. Variables with different associations with NHL and HL were identified using marginal Cox models. All statistical tests were two-sided. Results: Among 41 420 people followed for 337 020 person-years, 392 developed NHL (incidence rate = 1.17/1000 person-years of follow-up [PYFU], 95% confidence interval [CI] = 1.06 to 1.30) and 149 developed HL (incidence rate = 0.44/1000 PYFU, 95% CI = 0.38 to 0.52). Higher risk of both NHL and HL was associated with lower current CD4 cell count (adjusted HR [aHR] of NHL for CD4 <100 vs > 599 cells/mm3 = 8.08, 95% CI = 5.63 to 11.61; HL = 4.58, 95% CI = 2.22 to 9.45), whereas higher current HIV viral load (aHR of NHL for HIV-VL >1000 vs < 50 copies/mL = 1.97, 95% CI = 1.50 to 2.59) and higher AUC of HIV-VL (aHR of NHL for highest vs lowest quintile = 2.91, 95% CI = 1.92 to 4.41) were associated with NHL only. Both current and AUC of HIV-VL were factors that had different associations with NHL and HL, where the hazard ratio for NHL was progressively higher than for HL with increasing HIV-VL category. Lower current CD4 cell count had a strong but similar association with both NHL and HL. Conclusions: CD4 depletion increased risk of both types of lymphomas while current and accumulated HIV-VL was associated with NHL only. This suggests that NHL development is related to both CD4 cell depletion and added immune dysfunction derived from ongoing HIV replication. This latter factor was not associated with HL risk.
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