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Introduction: Since the beginning of the HIV epidemic in resource‐rich countries, Pneumocystis jirovecii pneumonia (PjP) is one of the most frequent opportunistic AIDS‐defining infections. The Collaboration of Observational HIV Epidemiological Research Europe (COHERE) has shown that primary Pneumocystis jirovecii Pneumonia (PjP) prophylaxis can be safely withdrawn in patients with CD4 counts of 100 to 200 cells/µL if plasma HIV‐RNA is suppressed on combination antiretroviral therapy. Whether this holds true for secondary prophylaxis is not known, and this has proved difficult to determine due to the much lower population at risk. Methods: We estimated the incidence of secondary PjP by including patient data collected from 1998 to 2015 from the COHERE cohort collaboration according to time‐updated CD4 counts, HIV‐RNA and use of PjP prophylaxis in persons >16 years of age. We fitted a Poisson generalized additive model in which the smoothed effect of CD4 was modelled by a restricted cubic spline, and HIV‐RNA was stratified as low (<400), medium (400 to 10,000) or high (>10,000copies/mL). Results: There were 373 recurrences of PjP during 74,295 person‐years (py) in 10,476 patients. The PjP incidence in the different plasma HIV‐RNA strata differed significantly and was lowest in the low stratum. For patients off prophylaxis with CD4 counts between 100 and 200 cells/µL and HIV‐RNA below 400 copies/mL, the incidence of recurrent PjP was 3.9 (95% CI: 2.0 to 5.8) per 1000 py, not significantly different from patients on prophylaxis in the same stratum (1.9, 95% CI: 0.1 to 3.7). Conclusions: HIV viraemia importantly affects the risk of recurrent PjP. In virologically suppressed patients on ART with CD4 counts of 100 to 200/µL, the incidence of PjP off prophylaxis is below 10/1000 py. Secondary PjP prophylaxis may be safely withheld in such patients. While European guidelines recommend discontinuing secondary PjP prophylaxis only if CD4 counts rise above 200 cells/mL, the latest US Guidelines consider secondary prophylaxis discontinuation even in patients with a CD4 count above 100 cells/µL and suppressed viral load. Our results strengthen and support this US recommendation. [ABSTRACT FROM AUTHOR]

Introduction: HIV replication leads to a change in lymphocyte phenotypes that impairs immune protection against opportunistic infections. We examined current HIV replication as an independent risk factor for tuberculosis (TB)., Methods: We included people living with HIV from 25 European cohorts 1983-2015. Individuals <16 years or with previous TB were excluded. Person-time was calculated from enrolment (baseline) to the date of TB diagnosis or last follow-up information. We used adjusted Poisson regression and general additive regression models., Results: We included 272,548 people with a median follow-up of 5.9 years (interquartile range [IQR] 2.3-10.9). At baseline, the median CD4 cell count was 355 cells/μL (IQR 193-540) and the median HIV-RNA level 22,000 copies/mL (IQR 1,300-103,000). During 1,923,441 person-years of follow-up, 5,956 (2.2%) people developed TB. Overall, TB incidence was 3.1 per 1,000 person-years (95% confidence interval [CI] 3.02-3.18) and was four times higher in patients with HIV-RNA levels of 10,000 compared with levels <400 copies/mL in any CD4 stratum. CD4 and HIV-RNA time-updated analyses showed that the association between HIV-RNA and TB incidence was independent of CD4. The TB incidence rate ratio for people born in TB-endemic countries compared with those born in Europe was 1.8 (95% CI 1.5-2.2)., Conclusions: Our results indicate that ongoing HIV replication (suboptimal HIV control) is an important risk factor for TB, independent of CD4 count. Those at highest risk of TB are people from TB-endemic countries. Close monitoring and TB preventive therapy for people with suboptimal HIV control is important., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Atkinson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Weight gain effects of individual antiretroviral drugs are not fully understood. We investigated associations between a prespecified clinically significant increase (>7%) in body-mass index (BMI) and contemporary antiretroviral use., Methods: The International Cohort Consortium of Infectious Diseases (RESPOND) is a prospective, multicohort collaboration, including data from 17 well established cohorts and over 29 000 people living with HIV. People with HIV under prospective follow-up from Jan 1, 2012, and older than 18 years were eligible for inclusion. Each cohort contributed a predefined minimum number of participants related to the size of the specific cohort (with a minimum of 1000 participants). Participants were required to have CD4 cell counts and HIV viral load measurement in the 12 months before or within 3 months after baseline. For all antiretroviral drugs received at or after RESPOND entry, changes from pre-antiretroviral BMI levels (baseline) were considered at each BMI measurement during antiretroviral treatment. We used logistic regression to identify individual antiretrovirals that were associated with first occurrence of a more than 7% increase in BMI from pre-antiretroviral BMI. We adjusted analyses for time on antiretrovirals, pre-antiretroviral BMI, demographics, geographical region, CD4 cell count, viral load, smoking status, and AIDS at baseline., Results: 14 703 people were included in this study, of whom 7863 (53·5%) had a more than 7% increase in BMI. Compared with lamivudine, use of dolutegravir (odds ratio [OR] 1·27, 95% CI 1·17-1·38), raltegravir (1·37, 1·20-1·56), and tenofovir alafenamide (1·38, 1·22-1·35) was significantly associated with a more than 7% BMI increase, as was low pre-antiretroviral BMI (2·10, 1·91-2·31 for underweight vs healthy weight) and Black ethnicity (1·61, 1·47-1·76 vs White ethnicity). Higher CD4 count was associated with a reduced risk of BMI increase (0·97, 0·96-0·98 per 100 cells per μL increase). Relative to lamivudine, dolutegravir without tenofovir alafenamide (OR 1·21, 95% CI 1·19-1·32) and tenofovir alafenamide without dolutegravir (1·33, 1·15-1·53) remained independently associated with a more than 7% increase in BMI; the associations were higher when dolutegravir and tenofovir alafenamide were used concomitantly (1·79, 1·52-2·11, and 1·70, 1·44-2·01, respectively)., Interpretation: Clinicians and people with HIV should be aware of associations between weight gain and use of dolutegravir, tenofovir alafenamide, and raltegravir, particularly given the potential consequences of weight gain, such as insulin resistance, dyslipidaemia, and hypertension., Funding: The CHU St Pierre Brussels HIV Cohort, The Austrian HIV Cohort Study, The Australian HIV Observational Database, The AIDS Therapy Evaluation in the Netherlands national observational HIV cohort, The EuroSIDA cohort, The Frankfurt HIV Cohort Study, The Georgian National AIDS Health Information System, The Nice HIV Cohort, The ICONA Foundation, The Modena HIV Cohort, The PISCIS Cohort Study, The Swiss HIV Cohort Study, The Swedish InfCare HIV Cohort, The Royal Free HIV Cohort Study, The San Raffaele Scientific Institute, The University Hospital Bonn HIV Cohort and The University of Cologne HIV Cohorts, ViiV Healthcare, and Gilead Sciences., Competing Interests: Declaration of interests JMM received a personal 80:20 research grant from Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain, during 2017–21. JMM also reports grants and personal fees from AbbVie, Angelini, Contrafect, Cubist, Genentech, Gilead Sciences, Jansen, Lysovant, Medtronic, MSD, Novartis, Pfizer, and ViiV Healthcare, outside the submitted work. DLB reports honoraria from ViiV Healthcare, Gilead Sciences, and Merck, outside the submitted work. OK reports personal fees from Gilead Sciences, ViiV Healthcare, and Merck, outside the submitted work. ML reports grants from Gilead Sciences, Janssen-Cilag, and ViiV Healthcare, outside the submitted work. JH reports reimbursement to their institute from Gilead Sciences, ViiV Healthcare, and MSD, outside the submitted work. HFG reports grants from the Swiss National Science Foundation, National Institutes of Health (NIH), and the Swiss HIV Cohort Study, unrestricted research grants from Gilead Sciences, Roche, and Yvonne Jacob Foundation, personal fees from consulting or advisory boards or data safety monitoring boards for Merck, Gilead Sciences, ViiV Healthcare, Mepha, and Sandoz. HFG's institution received money for participation in the following clinical COVID-19 studies: 540-7773/5774 (Gilead), TICO (ACTIV-3, INSIGHT/NIH), and the Morningsky study (Roche). CSt reports personal fees and non-financial support from Gilead Sciences, ViiV Healthcare, and Janssen, outside the submitted work. VV is a salaried employee of ViiV Healthcare and receives GlaxoSmithKline stock. CD reports grants and personal fees from MSD, Gilead Sciences, and ViiV Healthcare, outside the submitted work. SDW reports grants from Gilead Sciences, MSD, Janssen, and ViiV Healthcare, outside the submitted work. FW reports membership of advisory boards for ViiV Healthcare and Gilead Sciences. JL reports personal fees from ViiV Healthcare, Gilead Sciences, and Janssen Cilag, outside the submitted work. CSm reports personal fees from Gilead Sciences, outside the submitted work. AdM reports grants from Gilead Sciences and ViiV Healthcare, during the conduct of the study, and personal fees from ViiV Healthcare, Gilead Sciences, Eiland, and Bonnin, outside the submitted work. NC reports personal fees from Virology Education, outside the submitted work. CO reports personal fees from ViiV Healthcare, Neola, and MSD, outside the submitted work. CO is also an elected member of the European AIDS Society governing body and of the EuroSIDA Steering Committee. JJV reports personal fees from MSD, Gilead Sciences, Pfizer, Astellas Pharma, Basilea, German Centre for Infection Research, University Hospital Freiburg, Congress and Communication, Academy for Infectious Medicine, University of Manchester, German Society for Infectious Diseases, Arztekammer Nordrhein, University Hospital Aachen, Back Bay Strategies, German Society for Internal Medicine, Shionogi, Molecular Health, Netzwerk Universitätsmedizin, Janssen, and NordForsk, and grants from MSD, Gilead Sciences, Pfizer, Astellas Pharma, Basilea, German Centre for Infection Research, German Federal Ministry of Education and Research, University of Bristol, and Rigshospitalet Copenhagen. JG is a paid employee of Gilead Sciences. ND reports he is a board member of non-governmental associations and initiatives (not for profit) that receive financial support from pharmaceutical companies and foundations for various projects. Those that have contributed are: GlaxoSmithKline, ViiV Healthcare, AbbVie, BMS, Gilead, Janssen-Cilag, MSD, AIDS Healthcare Foundation, Positive Action, Novartis, Roche, Mylam ELPEN, Cepheid, IPSEN, AstraZeneca, Amgen, Bayer, Pamaserve-Lilly, Roche Diagnostics, Sanofi, Pfizer, Theratechnologies, Vianex, Boehringer-Ingelheim, Chiesi, Takeda, and Leo Pharma. All other authors declare no competing interests., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: Efavirenz-based antiretroviral therapy (ART) regimens are preferred for treatment of adult HIV-positive patients co-infected with tuberculosis (HIV/TB). Few studies have compared outcomes among HIV/TB patients treated with efavirenz or non-efavirenz containing regimens., Methods: HIV-positive patients aged ≥16 years with a diagnosis of tuberculosis recruited to the TB:HIV study between Jan 1, 2011, and Dec 31, 2013 in 19 countries in Eastern Europe (EE), Western Europe (WE), and Latin America (LA) who received ART concomitantly with TB treatment were included. Patients either received efavirenz-containing ART starting between 15 days prior to, during, or within 90 days after starting tuberculosis treatment, (efavirenz group), or other ART regimens (non-efavirenz group). Patients who started ART more than 90 days after initiation of TB treatment, or who experienced ART interruption of more than 15 days during TB treatment were excluded. We describe rates and factors associated with death, virological suppression, and loss to follow up at 12 months using univariate, multivariate Cox, and marginal structural models to compare the two groups of patients., Results: Of 965 patients (647 receiving efavirenz-containing ART, and 318 a non-efavirenz regimen) 50% were from EE, 28% from WE, and 22% from LA. Among those not receiving efavirenz-containing ART, regimens mainly contained a ritonavir-boosted protease inhibitor (57%), or raltegravir (22%). At 12 months 1.4% of patients in WE had died, compared to 20% in EE: rates of virological suppression ranged from 21% in EE to 61% in WE. After adjusting for potential confounders, rates of death (adjusted Hazard Ratio; aHR, 95%CI: 1.13, 0.72-1.78), virological suppression (aHR, 95%CI: 0.97, 0.76-1.22), and loss to follow up (aHR, 95%CI: 1.17, 0.81-1.67), were similar in patients treated with efavirenz and non-efavirenz containing ART regimens., Conclusion: In this large, prospective cohort, the response to ART varied significantly across geographical regions, whereas the ART regimen (efavirenz or non-efavirenz containing) did not impact on the proportion of patients who were virologically-suppressed, lost to follow up or dead at 12 months.

Objectives: Rates of TB/HIV coinfection and multi-drug resistant (MDR)-TB are increasing in Eastern Europe (EE). We aimed to study clinical characteristics, factors associated with MDR-TB and predicted activity of empiric anti-TB treatment at time of TB diagnosis among TB/HIV coinfected patients in EE, Western Europe (WE) and Latin America (LA)., Design and Methods: Between January 1, 2011, and December 31, 2013, 1413 TB/HIV patients (62 clinics in 19 countries in EE, WE, Southern Europe (SE), and LA) were enrolled., Results: Significant differences were observed between EE (N = 844), WE (N = 152), SE (N = 164), and LA (N = 253) in the proportion of patients with a definite TB diagnosis (47%, 71%, 72% and 40%, p<0.0001), MDR-TB (40%, 5%, 3% and 15%, p<0.0001), and use of combination antiretroviral therapy (cART) (17%, 40%, 44% and 35%, p<0.0001). Injecting drug use (adjusted OR (aOR) = 2.03 (95% CI 1.00-4.09), prior anti-TB treatment (3.42 (1.88-6.22)), and living in EE (7.19 (3.28-15.78)) were associated with MDR-TB. Among 585 patients with drug susceptibility test (DST) results, the empiric (i.e. without knowledge of the DST results) anti-TB treatment included ≥3 active drugs in 66% of participants in EE compared with 90-96% in other regions (p<0.0001)., Conclusions: In EE, TB/HIV patients were less likely to receive a definite TB diagnosis, more likely to house MDR-TB and commonly received empiric anti-TB treatment with reduced activity. Improved management of TB/HIV patients in EE requires better access to TB diagnostics including DSTs, empiric anti-TB therapy directed at both susceptible and MDR-TB, and more widespread use of cART.

Mortality of HIV/tuberculosis (TB) patients in Eastern Europe is high. Little is known about their causes of death. This study aimed to assess and compare mortality rates and cause of death in HIV/TB patients across Eastern Europe and Western Europe and Argentina (WEA) in an international cohort study. Mortality rates and causes of death were analysed by time from TB diagnosis (<3 months, 3-12 months or >12 months) in 1078 consecutive HIV/TB patients. Factors associated with TB-related death were examined in multivariate Poisson regression analysis. 347 patients died during 2625 person-years of follow-up. Mortality in Eastern Europe was three- to ninefold higher than in WEA. TB was the main cause of death in Eastern Europe in 80%, 66% and 61% of patients who died <3 months, 3-12 months or >12 months after TB diagnosis, compared to 50%, 0% and 15% in the same time periods in WEA (p<0.0001). In multivariate analysis, follow-up in WEA (incidence rate ratio (IRR) 0.12, 95% CI 0.04-0.35), standard TB-treatment (IRR 0.45, 95% CI 0.20-0.99) and antiretroviral therapy (IRR 0.32, 95% CI 0.14-0.77) were associated with reduced risk of TB-related death. Persistently higher mortality rates were observed in HIV/TB patients in Eastern Europe, and TB was the dominant cause of death at any time during follow-up. This has important implications for HIV/TB programmes aiming to optimise the management of HIV/TB patients and limit TB-associated mortality in this region.

Objectives: The study aimed at describing characteristics and outcome of tuberculous meningitis (TBM) in HIV-positive patients and comparing these parameters with those of extrapulmonary TB (TBEP) and pulmonary TB (TBP)., Methods: Kaplan-Meier estimation and Poisson regression models were used to assess the mortality following TB diagnosis and to evaluate potential prognostic factors for the 3 groups of TB patients separately., Results: A total of 100 patients with TBM, 601 with TBEP, and 371 TBP were included. Patients with TBM had lower CD4 cell counts and only 17.0% received antiretroviral therapy (ART) at TB diagnosis. The cumulative probability of death at 12 months following TB was 51.2% for TBM (95% CI 41.4-61.6%), 12.3% for TBP (8.9-15.7%), and 19.4% for TBEP (16.1-22.6) (P<0.0001; log-rank test). For TBM, factors associated with a poorer prognosis were not being on ART (adjusted incidence rate ratio (aIRR) 4.00 (1.72-9.09), a prior AIDS diagnosis (aIRR=4.82 (2.61-8.92)), and receiving care in Eastern Europe (aIRR=5.41 (2.58-11.34)))., Conclusions: TBM among HIV-positive patients was associated with a high mortality rate, especially for patients from Eastern Europe and patients with advanced HIV-infection, which urgently calls for public health interventions to improve both TB and HIV aspects of patient management.

Objectives: We analyzed clinical progression among persons diagnosed with HIV at the time of an AIDS-defining event, and assessed the impact on outcome of timing of combined antiretroviral treatment (cART)., Methods: Retrospective, European and Canadian multicohort study.. Patients were diagnosed with HIV from 1997-2004 and had clinical AIDS from 30 days before to 14 days after diagnosis. Clinical progression (new AIDS event, death) was described using Kaplan-Meier analysis stratifying by type of AIDS event. Factors associated with progression were identified with multivariable Cox regression. Progression rates were compared between those starting early (<30 days after AIDS event) or deferred (30-270 days after AIDS event) cART., Results: The median (interquartile range) CD4 count and viral load (VL) at diagnosis of the 584 patients were 42 (16, 119) cells/µL and 5.2 (4.5, 5.7) log(10) copies/mL. Clinical progression was observed in 165 (28.3%) patients. Older age, a higher VL at diagnosis, and a diagnosis of non-Hodgkin lymphoma (NHL) (vs. other AIDS events) were independently associated with disease progression. Of 366 patients with an opportunistic infection, 178 (48.6%) received early cART. There was no significant difference in clinical progression between those initiating cART early and those deferring treatment (adjusted hazard ratio 1.32 [95% confidence interval 0.87, 2.00], p = 0.20)., Conclusions: Older patients and patients with high VL or NHL at diagnosis had a worse outcome. Our data suggest that earlier initiation of cART may be beneficial among HIV-infected patients diagnosed with clinical AIDS in our setting.

Background: Current guidelines suggest that primary prophylaxis for Pneumocystis jiroveci pneumonia (PcP) can be safely stopped in human immunodeficiency virus (HIV)-infected patients who are receiving combined antiretroviral therapy (cART) and who have a CD4 cell count >200 cells/microL. There are few data regarding the incidence of PcP or safety of stopping prophylaxis in virologically suppressed patients with CD4 cell counts of 101-200 cells/microL., Methods: The Opportunistic Infections Project Team of the Collaboration of Observational HIV Epidemiological Research in Europe (COHERE) included data from 23,412 patients from 12 European cohorts who started taking cART after 1997. Poisson regression was used to model incidence rate ratios (IRRs) of primary PcP., Results: There were 253 PcP cases during 107,016 person-years of follow-up (PYFU). Prophylaxis significantly reduced the incidence of PcP among patients with current CD4 cell counts 100 cells/microL (adjusted IRR, 0.41; 95% confidence interval [CI], 0.27-0.60) but not significantly among those with current CD4 cell counts of 101-200 cells/microL (adjusted IRR, 0.63; 95% CI, 0.34-1.17). The incidence of PcP among patients who had a current CD4 cell count of 100-200 cells/microL, who had a viral load <400 copies/mL, and who were receiving prophylaxis was 2.1 cases per 1000 PYFU (95% CI, 0.8-4.3 cases per 1000 PYFU; 7 events occurred during 3363 PYFU), whereas 1.2 cases per 1000 PYFU (95% CI, 0.2-4.5 cases per 1000 PYFU; 2 events occurred during 1614 PYFU) occurred among persons who were not receiving prophylaxis (adjusted IRR, 1.65; 95% CI, 0.33-8.15). Among patients who discontinued PcP prophylaxis after starting cART, the incidence of primary PcP was 0 cases per 1000 PYFU (95% CI, 0.0-2.7 cases per 1000 PYFU; 0 events occurred during 1363 PYFU) for patients who had a current CD4 cell count of 101-200 cells/microL and who were receiving cART., Conclusions: The incidence of primary PcP among patients who had virologically suppressed HIV infection, were receiving cART, and who had CD4 cell counts >100 cells/microL was low irrespective of prophylaxis use. Discontinuation of prophylaxis may be safe in patients with CD4 counts of 101-200 cells/microL and suppressed viral load.

Background and Objectives: Tuberculosis (TB) is a leading cause of death in HIV-infected patients worldwide. We aimed to study clinical characteristics and outcome of 1075 consecutive patients diagnosed with HIV/TB from 2004 to 2006 in Europe and Argentina., Methods: One-year mortality was assessed in patients stratified according to region of residence, and factors associated with death were evaluated in multivariable Cox models., Results: At TB diagnosis, patients in Eastern Europe had less advanced immunodeficiency, whereas a greater proportion had a history of intravenous drug use, coinfection with hepatitis C, disseminated TB, and infection with drug-resistant TB (P < 0.0001). In Eastern Europe, fewer patients initiated TB treatment containing at least rifamycin, isoniazid, and pyrazinamide or combination antiretroviral therapy (P < 0.0001). Mortality at 1 year was 27% in Eastern Europe, compared with 7, 9 and 11% in Central/Northern Europe, Southern Europe, and Argentina, respectively (P < 0.0001). In a multivariable model, the adjusted relative hazard of death was significantly lower in each of the other regions compared with Eastern Europe: 0.34 (95% confidence interval 0.17-0.65), 0.28 (0.14-0.57), 0.34 (0.15-0.77) in Argentina, Southern Europe and Central/Northern Europe, respectively. Factors significantly associated with increased mortality were CD4 cell count less than 200 cells/microl [2.31 (1.56-3.45)], prior AIDS [1.74 (1.22-2.47)], disseminated TB [2.00 (1.38-2.85)], initiation of TB treatment not including rifamycin, isoniazid and pyrazinamide [1.68 (1.20-2.36)], and rifamycin resistance [2.10 (1.29-3.41)]. Adjusting for these known confounders did not explain the increased mortality seen in Eastern Europe., Conclusion: The poor outcome of patients with HIV/TB in Eastern Europe deserves further study and urgent public health attention.

Objective: We examined survival and prognostic factors of patients who developed HIV-associated non-Hodgkin lymphoma (NHL) in the era of combination antiretroviral therapy (cART)., Design and Setting: Multicohort collaboration of 33 European cohorts., Methods: We included all cART-naive patients enrolled in cohorts participating in the Collaboration of Observational HIV Epidemiological Research Europe (COHERE) who were aged 16 years or older, started cART at some point after 1 January 1998 and developed NHL after 1 January 1998. Patients had to have a CD4 cell count after 1 January 1998 and one at diagnosis of the NHL. Survival and prognostic factors were estimated using Weibull models, with random effects accounting for heterogeneity between cohorts., Results: Of 67 659 patients who were followed up during 304 940 person-years, 1176 patients were diagnosed with NHL. Eight hundred and forty-seven patients (72%) from 22 cohorts met inclusion criteria. Survival at 1 year was 66% [95% confidence interval (CI) 63-70%] for systemic NHL (n = 763) and 54% (95% CI: 43-65%) for primary brain lymphoma (n = 84). Risk factors for death included low nadir CD4 cell counts and a history of injection drug use. Patients developing NHL on cART had an increased risk of death compared with patients who were cART naive at diagnosis., Conclusion: In the era of cART two-thirds of patients diagnosed with HIV-related systemic NHL survive for longer than 1 year after diagnosis. Survival is poorer in patients diagnosed with primary brain lymphoma. More advanced immunodeficiency is the dominant prognostic factor for mortality in patients with HIV-related NHL.

Background: Incidence and risk factors of HIV-associated non-Hodgkin's lymphoma (NHL) are not well defined in the era of combination antiretroviral therapy (cART)., Methods: A total of 56,305 adult HIV type-1 (HIV-1)-infected patients who started cART in 1 of 22 prospective studies in Europe were included. Weibull random effects models were used to estimate hazard ratios (HRs) for developing systemic NHL and included CD4(+) T-cell counts and viral load as time-updated variables., Results: During the 212,042 person-years of follow-up, 521 patients were diagnosed with systemic NHL and 62 with primary brain lymphoma (PBL). The incidence rate of systemic NHL was 463 per 100,000 person-years not on cART and 205 per 100,000 person-years in treated patients for a rate ratio of 0.44 (95% confidence interval [CI] 0.37-0.53). The corresponding incidence rates of PBL were 57 and 24 per 100,000 person-years (rate ratio 0.43, 95% CI 0.25-0.73). Suppression of HIV-1 replication on cART (HR 0.60, 95% CI 0.44-0.81, comparing < or =500 with 10,000-99,999 copies/ml) and increases in CD4(+) T-cell counts (HR 0.30, 0.22-0.42, comparing > or =350 with 100-199 cells/microl) were protective; a history of Kaposi's sarcoma (HR 1.70, 1.08-2.68, compared to no history of AIDS), transmission through sex between men (HR 1.57, 1.19-2.08, compared with heterosexual transmission) and older age (HR 3.71, 2.37-5.80, comparing > or =50 with 16-29 years) were risk factors for systemic NHL., Conclusions: The incidence rates of both systemic NHL and PBL were substantially reduced in patients on cART. Timely initiation of therapy is key to the prevention of NHL in the era of cART.

The purpose of this investigation was to study the influence of diabetes mellitus (DM) on outcomes of infective endocarditis (IE). Outcomes were compared between 150 diabetic and 905 non-diabetic patients with IE from the International Collaboration on Endocarditis Merged Database. Compared to non-diabetic patients, diabetic patients were older (median age 63 vs 57 y, p<0.001), were more often female (42.0% vs 31.9%, p=0.01), more often had comorbidities (41.5% vs 26.7%, p<0.001), and were more likely to be dialysis dependent (12.7% vs 4.0%, p<0.001). S. aureus was isolated more often (30.7% vs 21.7%, p=0.02), and microorganisms from the viridans Streptococcus group less often (16.7% vs 28.2%, p = 0.001) in the diabetic group. There was no difference with respect to the presence of congestive heart failure, embolism, intra-cardiac abscess, new valvular regurgitation, or valvular vegetation. Diabetic patients underwent surgical intervention less frequently (32.0% vs 44.9%, p = 0.003), and had higher overall in-hospital mortality (30.3% vs 18.6%, p = 0.001). On multivariable analysis, DM was an independent predictor of mortality (odds ratio (OR) = 1.71, 95% confidence interval (CI) 1.08-2.70), especially in male patients, as diabetic males had higher mortality than non-diabetic males (OR 2.18, CI 1.08-4.35). DM is an independent predictor of in-hospital mortality among patients hospitalized with IE.