Browsing by Author "Stephan, Christoph (56261424000)"

Objectives: To describe changes in the prevalence of comorbidities and risk factors among HIV-positive individuals in the EuroSIDA study. Design: Comparison of two cross-sectional cohorts of HIV-positive adults under active follow-up in 2006 and 2014. Methods: Baseline demographics and prevalence of comorbidities were described. Factors associated with the prevalence of chronic kidney disease (CKD) and cardiovascular disease (CVD) were assessed by logistic regression modelling using generalized estimating equations. Results: Nine thousand, seven hundred and ninety-eight individuals were under active follow-up in EuroSIDA during 2006 and 12 882 during 2014. Compared with study participants in 2006, those in 2014 were older [median age 48.6 years (IQR 40.3 55.1) vs. 43.1 years (37.2 50.0) in 2006] and had higher prevalence of hypertension (59.6 vs. 47% in 2006), diabetes (6.3 vs. 5.4%), CKD (6.9 vs. 4.1%) and CVD (5.0 vs. 3.7%). Individuals in the 2014 cohort had higher odds for CKD (unadjusted OR 2.62, 95% CI 2.30 2.99, P0.0001) and CVD (OR 1.88, CI 1.68 2.10, P0.0001), but after multivariable adjustment for age group, comorbidities and other factors, year of cohort was no longer significantly associated with the odds of CKD [adjusted OR (aOR) 0.97, CI 0.52 1.82, P 0.92) or of CVD (aOR 0.94, CI 0.54 1.63, P 0.82). aCentre for Clinica Conclusion: Between 2006 and 2014, the population aged and experienced an overall higher prevalence of non-AIDS comorbidities, including CKD and CVD. The increase in CVD could be explained by the aging population, and the increase in CKD by aging and changes in other factors. Treatment strategies balancing HIV outcomes with long-Term management of comorbidities remain a priority. Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.

Objectives: To describe changes in the prevalence of comorbidities and risk factors among HIV-positive individuals in the EuroSIDA study. Design: Comparison of two cross-sectional cohorts of HIV-positive adults under active follow-up in 2006 and 2014. Methods: Baseline demographics and prevalence of comorbidities were described. Factors associated with the prevalence of chronic kidney disease (CKD) and cardiovascular disease (CVD) were assessed by logistic regression modelling using generalized estimating equations. Results: Nine thousand, seven hundred and ninety-eight individuals were under active follow-up in EuroSIDA during 2006 and 12 882 during 2014. Compared with study participants in 2006, those in 2014 were older [median age 48.6 years (IQR 40.3 55.1) vs. 43.1 years (37.2 50.0) in 2006] and had higher prevalence of hypertension (59.6 vs. 47% in 2006), diabetes (6.3 vs. 5.4%), CKD (6.9 vs. 4.1%) and CVD (5.0 vs. 3.7%). Individuals in the 2014 cohort had higher odds for CKD (unadjusted OR 2.62, 95% CI 2.30 2.99, P0.0001) and CVD (OR 1.88, CI 1.68 2.10, P0.0001), but after multivariable adjustment for age group, comorbidities and other factors, year of cohort was no longer significantly associated with the odds of CKD [adjusted OR (aOR) 0.97, CI 0.52 1.82, P 0.92) or of CVD (aOR 0.94, CI 0.54 1.63, P 0.82). aCentre for Clinica Conclusion: Between 2006 and 2014, the population aged and experienced an overall higher prevalence of non-AIDS comorbidities, including CKD and CVD. The increase in CVD could be explained by the aging population, and the increase in CKD by aging and changes in other factors. Treatment strategies balancing HIV outcomes with long-Term management of comorbidities remain a priority. Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.

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. © 2021 Elsevier Ltd

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. © 2021 Elsevier Ltd

The European HIV Drug Resistance Guidelines Panel, established to make recommendations to clinicians and virologists, felt that sufficient new information has become available to warrant an update of its recommendations, explained in both pocket guidelines and this full paper. The Panel makes the following recommendations concerning the indications for resistance testing: for HIV-1 (i) test earliest sample for protease and reverse transcriptase drug resistance in drug-naive patients with acute or chronic infection; (ii) test protease and reverse transcriptase drug resistance at virologic failure, and other drug targets (integrase and envelope) if such drugs were part of the failing regimen; (iii) consider testing for CCR5 tropism at virologic failure or when a change of therapy has to be made in absence of detectable viral load, and in the latter case test DNA or last detectable plasma RNA; (iv) consider testing earliest detectable plasma RNA when a successful nonnucleoside reverse transcriptase inhibitor-containing therapy was inappropriately interrupted; (v) genotype source patient when postexposure prophylaxis is considered; for HIV-2, (vi) consider resistance testing where treatment change is needed after treatment failure. The Panel recommends genotyping in most situations, using updated and clinically evaluated interpretation systems. It is mandatory that laboratories performing HIV resistance tests take part regularly in external quality assurance programs, and that they consider storing samples in situations where resistance testing cannot be performed as recommended. Similarly, it is necessary that HIV clinicians and virologists take part in continuous education and discuss problematic clinical cases. Indeed, resistance test results should be used in the context of all other clinically relevant information for predicting therapy response.