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13 results on '"Bouteloup V"'

1. Ultrasensitive Human Immunodeficiency Virus Type 1 Viral Load as a Marker of Treatment Choice for Simplification Strategies.

Author

Lambert-Niclot S, Grude M, Meynard JL, Marcelin AG, Valantin MA, Flandre P, Izopet J, Moinot L, Bouteloup V, Calvez V, Katlama C, Girard PM, and Morand-Joubert L

Subjects
Adult, CD4 Lymphocyte Count, Darunavir therapeutic use, Data Interpretation, Statistical, Female, HIV Infections blood, HIV-1 isolation & purification, Humans, Lopinavir therapeutic use, Male, Middle Aged, Ritonavir therapeutic use, Treatment Failure, Anti-HIV Agents therapeutic use, Antiretroviral Therapy, Highly Active methods, HIV Infections drug therapy, RNA, Viral blood, Viral Load
Abstract

Background: Using 3 randomized Protease inhibitor (PI) monotherapy studies: Kalesolo, Dream and Monoi, we performed a pooled-analysis. Our objective was to determine in PI monotherapy and standard tritherapy: 1) distribution of ultrasensitive viral load (USVL) at week 96 (W96); 2) factors associated with virological failure (VF) at W96 and 3) factors associated with USVL<1 copy at W96., Methods: VF was defined as 2 consecutive measurements of Human Immunodeficiency Virus Type 1 RNA viral load>50 copies/mL and analysed in Intention-To-Treat. A logistic model was used to investigate which variables were predictive of a VF and Fisher test to investigate differences in USVL at W96., Results: Among 609 patients, 73% were male with median age of 44.4 years (IQR 39.8-52.1), baseline CD4/CD8 ratio was 0.8 (IQR 0.6-1.10), baseline CD4 was 564.5/mm3 (IQR 422-707) and 59% presented a baseline USVL<1 copy/mL. At W96, the proportion of USVL<1 copy/mL was significantly different between PI monotherapy and standard tritherapy in pooled-analysis (65% versus 74%; p=0.04). Overall, baseline USVL<1copy/mL, tritherapy and to be a female were associated with USVL<1 copy/mL at W96 (p<0.0001, p=0.049 and p=0.006). In PI monotherapy receiving DRV/r was associated with USVL<1 copy/mL at W96 (p=0.003). Factors associated to virological succes at W96 were higher baseline CD4 (p=0.034) and baseline USVL<1 copy/mL (p=0.0005)., Conclusion: Pooled-analysis of 3 PI monotherapy trials showed better efficacy of tritherapy in terms of USVL at W96. Furthermore regarding USVL at W96, to receive LPV/r seems to be more deleterious than DRV/r. Baseline USVL impacts VF at W96 more specifically in tritherapy arm., Clinical Trials Registration: NCT00421551, NCT00946595, and NCT00140751.

Published
2018
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2. All-cause mortality in treated HIV-infected adults with CD4 ≥500/mm3 compared with the general population: evidence from a large European observational cohort collaboration.

Author

Lewden C, Bouteloup V, De Wit S, Sabin C, Mocroft A, Wasmuth JC, van Sighem A, Kirk O, Obel N, Panos G, Ghosn J, Dabis F, Mary-Krause M, Leport C, Perez-Hoyos S, Sobrino-Vegas P, Stephan C, Castagna A, Antinori A, d'Arminio Monforte A, Torti C, Mussini C, Isern V, Calmy A, Teira R, Egger M, Grarup J, and Chêne G

Subjects
Adult, Cohort Studies, Europe epidemiology, Female, Humans, Male, Poisson Distribution, Risk Factors, Anti-HIV Agents therapeutic use, CD4 Lymphocyte Count, Cause of Death, HIV Infections drug therapy, HIV Infections mortality
Abstract

Background: Using data from a large European collaborative study, we aimed to identify the circumstances in which treated HIV-infected individuals will experience similar mortality rates to those of the general population., Methods: Adults were eligible if they initiated combination anti-retroviral treatment (cART) between 1998 and 2008 and had one prior CD4 measurement within 6 months. Standardized mortality ratios (SMRs) and excess mortality rates compared with the general population were estimated using Poisson regression. Periods of follow-up were classified according to the current CD4 count., Results: Of the 80 642 individuals, 70% were men, 16% were injecting drug users (IDUs), the median age was 37 years, median CD4 count 225/mm(3) at cART initiation and median follow-up was 3.5 years. The overall mortality rate was 1.2/100 person-years (PY) (men: 1.3, women: 0.9), 4.2 times as high as that in the general population (SMR for men: 3.8, for women: 7.4). Among 35 316 individuals with a CD4 count ≥500/mm(3), the mortality rate was 0.37/100 PY (SMR 1.5); mortality rates were similar to those of the general population in non-IDU men [SMR 0.9, 95% confidence interval (95% CI) 0.7-1.3] and, after 3 years, in women (SMR 1.1, 95% CI 0.7-1.7). Mortality rates in IDUs remained elevated, though a trend to decrease with longer durations with high CD4 count was seen. A prior AIDS diagnosis was associated with higher mortality., Conclusions: Mortality patterns in most non-IDU HIV-infected individuals with high CD4 counts on cART are similar to those in the general population. The persistent role of a prior AIDS diagnosis underlines the importance of early diagnosis of HIV infection.

Published
2012
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3. Ten-year diabetes incidence in 1046 HIV-infected patients started on a combination antiretroviral treatment.

Author

Capeau J, Bouteloup V, Katlama C, Bastard JP, Guiyedi V, Salmon-Ceron D, Protopopescu C, Leport C, Raffi F, and Chêne G

Subjects
Adiposity, Adult, Antiretroviral Therapy, Highly Active, Body Mass Index, Cohort Studies, Diabetes Mellitus chemically induced, Diabetes Mellitus drug therapy, Didanosine administration & dosage, Didanosine adverse effects, Female, Follow-Up Studies, HIV Infections complications, Humans, Incidence, Indinavir administration & dosage, Indinavir adverse effects, Male, Middle Aged, Odds Ratio, Proportional Hazards Models, Prospective Studies, Risk Factors, Stavudine administration & dosage, Stavudine adverse effects, Waist-Hip Ratio, Anti-HIV Agents administration & dosage, Anti-HIV Agents adverse effects, Diabetes Mellitus epidemiology, HIV Infections drug therapy, HIV Infections epidemiology
Abstract

Objective: To evaluate the incidence and determinants of diabetes in a cohort of HIV-infected adults initiated with combination antiretroviral treatment (cART) in 1997-1999 and followed up to 2009., Design: Prospective study of 1046 patients at 47 French clinical sites., Methods: Potential determinants of diabetes occurrence, defined by confirmed increased glycemia and/or initiation of antidiabetic treatment, were assessed by a proportional hazards model, including time-updated metabolic parameters and ART exposure., Results: Among the cohort, representing 7846 person-years of follow-up (PYFU), 54% received indinavir, 75% stavudine and 52% didanosine. Overall, 111 patients developed diabetes, with an incidence of 14.1/1000 PYFU (14.6 in men, 12.6 in women). Incidence peaked in 1999-2000 (23.2/1000 PYFU) and decreased thereafter. The incidence of diabetes was associated [adjusted hazard ratio (aHR), all P<0.02] with older age (hazard ratio = 2.13 when 40-49 years, hazard ratio = 3.63 when ≥50 years), overweight (hazard ratio = 1.91 for a BMI 25-29 kg/m(2), hazard ratio = 2.85 >30 kg/m(2)), waist-to-hip ratio (hazard ratio = 3.87 for ≥0.97 male/0.92 female), time-updated lipoatrophy (hazard ratio = 2.14) and short-term exposure to indinavir (0-1 year: hazard ratio = 2.53), stavudine (0-1 year: hazard ratio = 2.56, 1-2 years: hazard ratio = 2.65) or didanosine (2-3 years: hazard ratio = 3.16). Occurrence of diabetes was not associated with HIV-related markers, hepatitis C, hypertension or family history of diabetes. Insulin resistance was predictive for incident diabetes., Conclusions: In this nationwide cohort, followed for 10 years after cART initiation, diabetes incidence peaked in 1990-2000, was markedly higher than that reported for European uninfected or other HIV-infected populations (4-6/1000 PYFU) and linked with age and adiposity. Adiposity and glycemic markers should be monitored in aging HIV-infected patients.

Published
2012
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4. Lopinavir/ritonavir monotherapy versus current treatment continuation for maintenance therapy of HIV-1 infection: the KALESOLO trial.

Author

Meynard JL, Bouteloup V, Landman R, Bonnard P, Baillat V, Cabie A, Kolta S, Izopet J, Taburet AM, Mercie P, Chene G, and Girard PM

Subjects
Adult, Antiretroviral Therapy, Highly Active methods, Female, France, HIV Infections virology, HIV-1 isolation & purification, Humans, Lopinavir, Male, Middle Aged, RNA, Viral blood, Treatment Outcome, Viral Load, Anti-HIV Agents administration & dosage, HIV Infections drug therapy, Pyrimidinones administration & dosage, Ritonavir administration & dosage
Abstract

Objectives: We evaluated a monotherapy maintenance regimen with lopinavir/ritonavir versus continuing current combined antiretroviral treatment (cART) in HIV patients with suppressed plasma HIV-1 RNA., Patients and Methods: This was an open-label, non-inferiority, multicentre trial in 23 sites in France. Adults were randomized if they had no history of virological failure while receiving a protease inhibitor, maintained HIV-1 RNA <50 copies/mL for at least 6 months and did not change cART during the last 3 months. The primary endpoint was the proportion of patients with HIV-1 RNA <50 copies/mL at Week 48 (non-inferiority margin set at -12%) with missing data and treatment modification considered as failure. The trial has been registered in ClinicalTrials.gov under the identifier NCT00140751., Results: At Week 48, 84% (73/87) of patients in the lopinavir/ritonavir monotherapy group met the primary endpoint compared with 88% (87/99) in the cART group [difference, -4.0%, lower limit of 90% two-sided confidence interval (CI) for difference, -12.4%]. In secondary analysis with success defined as plasma HIV-1 RNA <400 copies/mL, 87% (76/87) of patients in the lopinavir/ritonavir monotherapy group were virologically suppressed compared with 88% (87/99) in the cART group (difference, -0.5%, lower limit of 90% two-sided CI for difference, -8.5%). If antiretroviral treatment intensification was taken into account, 91% (79/87) of patients in the lopinavir/ritonavir monotherapy group met the primary endpoint compared with 88% (87/99) in the cART group (difference, +2.9%, lower limit of 90% two-sided CI for difference, -4.5%). Failures of lopinavir/ritonavir monotherapy did not show acquired resistance mutations in the protease gene., Conclusions: Lopinavir/ritonavir monotherapy did not achieve non-inferiority versus cART for maintaining plasma HIV-1 RNA <50 copies/mL. Nevertheless, the incidence of virological failure was low (mostly with HIV-1 RNA <400 copies/mL) and easily managed by treatment intensification.

Published
2010
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5. Higher HIV-1 DNA associated with lower gains in CD4 cell count among patients with advanced therapeutic failure receiving optimized treatment (ANRS 123--ETOILE).

Author

Avettand-Fenoel V, Bouteloup V, Mélard A, Fagard C, Chaix ML, Leclercq P, Chêne G, Viard JP, and Rouzioux C

Subjects
CD4 Lymphocyte Count, DNA, Viral blood, Follow-Up Studies, HIV Infections immunology, HIV Infections virology, Humans, Interleukin-2 therapeutic use, Salvage Therapy methods, Treatment Failure, Anti-HIV Agents therapeutic use, Antiretroviral Therapy, Highly Active methods, HIV Infections drug therapy, HIV-1 isolation & purification, Viral Load
Abstract

Objective: To describe HIV-1 DNA levels from baseline (W0) to week 52 (W52) among patients receiving either interleukin-2 (IL-2) + optimized background therapy (OBT) or OBT as salvage treatment., Methods: This was evaluated in a substudy of the ETOILE Agence Nationale de Recherches sur le SIDA et les hépatites virales (ANRS) 123 trial (patients with CD4 ≤ 200/mm(3), HIV RNA>4 log(10) copies/mL and a genotypic score showing two or fewer active drugs). OBT included enfuvirtide whenever possible. HIV DNA was quantified with the ANRS assay., Results: Blood samples were available for 21 patients in the IL-2 + OBT arm and 23 in the OBT alone arm at baseline, and for 10 and 17 patients, respectively, at W52. Median baseline CD4 count was 47 cells/mm(3) and 68 cells/mm(3), respectively; median HIV RNA was 5.1 and 4.9 log(10) copies/mL. Baseline median HIV DNA load was 3.44 log(10) copies/10(6) peripheral blood mononuclear cells (PBMCs) (interquartile range 3.31-4.08) and 3.51 (3.18-3.82) log(10) copies/10(6) PBMCs, respectively. At W52, it was 3.18 log(10) copies/10(6) PBMCs (2.75-3.52) and 3.48 log(10) copies/10(6) PBMCs (3.10-3.67), respectively. Cells were available at both W0 and W52 for 7 patients in the IL-2 + OBT arm and 14 in the OBT arm. Change in HIV DNA load was not associated with IL-2 use, but decreased among the seven patients receiving enfuvirtide (-0.22 log(10) copies/mL) as compared with the other 14 patients (+0.20 log(10); P=0.046). A steeper decrease in HIV DNA was observed among patients who had a larger increase in CD4 count (Pearson coefficient ρ=0.659, P=0.001). Adjusted for enfuvirtide use, there was a trend for an association between upper baseline HIV DNA level and a less frequent CD4 gain ≥ 50 cells/mm(3) at W52 (odds ratio=0.17, P=0.075)., Conclusions: HIV DNA levels were high in patients with advanced therapeutic failure. A larger viral reservoir may be associated with lower gains in CD4 count among patients receiving OBT. HIV DNA level could be a useful tool for the case management of patients in the late stages of disease.

Published
2010
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6. Long-term evolution and determinants of renal function in HIV-infected patients who began receiving combination antiretroviral therapy in 1997-1999, ANRS CO8 APROCO-COPILOTE.

Author

Leport C, Bouteloup V, Rossert J, Garré M, Iordache L, Dellamonica P, Herson S, Raffi F, and Chêne G

Subjects
Adolescent, Adult, Aged, CD4 Lymphocyte Count, Cohort Studies, Drug Therapy, Combination, Female, Glomerular Filtration Rate, HIV Infections physiopathology, Humans, Male, Middle Aged, Anti-HIV Agents administration & dosage, HIV Infections drug therapy, Kidney physiopathology
Abstract

Among 1121 patients (90% Caucasian) infected by the human immunodeficiency virus (HIV), the glomerular filtration rate increased (+0.72 mL/min/1.73 m(2)/month) from treatment initiation to month 16 (the rate increase was lower among men and those with low body mass index, AIDS, or receipt of indinavir), then remained stable up to 7 years. Kidney function should be monitored in patients previously exposed to indinavir.

Published
2009
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7. Immunological success is predicted by enfuvirtide but not interleukin-2 therapy in immunodepressed patients.

Author

Viard JP, Fagard C, Chaix ML, Rouzioux C, Bouteloup V, Bentata M, de Verdière NC, Pahlavan G, Weiss L, Lévy Y, and Chêne G

Subjects
Adult, Antiretroviral Therapy, Highly Active, CD4 Lymphocyte Count, Enfuvirtide, Epidemiologic Methods, Female, HIV Infections immunology, Humans, Interleukin-2 immunology, Male, Middle Aged, RNA, Viral immunology, Treatment Failure, Anti-HIV Agents administration & dosage, HIV Envelope Protein gp41 administration & dosage, HIV Fusion Inhibitors administration & dosage, HIV Infections drug therapy, HIV-1, Interleukin-2 administration & dosage, Peptide Fragments administration & dosage
Abstract

Objectives: To evaluate the efficacy of adding interleukin-2 (IL-2) to an optimized background treatment in HIV-1 patients with advanced failure., Design: Randomized, open-label, multicentre controlled trial., Methods: Patients with CD4 T-cell count of less than 200 cells/microl, plasma HIV-1 RNA of more than 10 000 copies/ml and a genotypic sensitivity score showing two or less active drugs were randomized to either eight IL-2 cycles with optimized background treatment or optimized background treatment alone. Optimization was made according to genotypic sensitivity score. Enfuvirtide was added in enfuvirtide-naive patients. Evaluation was performed at week 52 on the proportions of patients with CD4 cell count of at least 200 cells/microl (primary outcome), of patients with a CD4 cell count increase of at least 50 cells/microl from week 0, on plasma HIV-1 RNA and HIV-related events., Results: Fifty-six patients were analysed. Median age was 43 years, 61% were at Center for Disease Control and Prevention stage C, 43% had a genotypic sensitivity score of 0, median baseline CD4 cell count and plasma HIV-1 RNA values were 64 cells/microl and 4.9 log10 copies/ml, respectively. Treatment could be optimized in 23 patients. At week 52, in the IL-2 and control groups, the proportion of patients with CD4 cell count of at least 200 cells/microl (14 and 18%) or a CD4 cell count increase of at least 50 cells/microl (25 and 32%) and median plasma HIV-1 RNA were not significantly different. In multivariate analysis, optimization with enfuvirtide and baseline CD4 cell count were statistically associated with CD4 cell count of at least 200 cells/microl at week 52 (P = 0.003 and P = 0.01). Optimization with enfuvirtide was the only factor associated with a CD4 cell count gain of at least 50 cells/microl (P < 0.001). There was no difference in the rate of AIDS events between groups., Conclusion: IL-2 failed to increase CD4 cell count in immunocompromised patients with multiple therapeutic failures. Enfuvirtide use was highly associated with success.

Published
2009
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9. Global temporal changes in the proportion of children with advanced disease at the start of combination antiretroviral therapy in an era of changing criteria for treatment initiation

Author

Panayidou K., Davies M. -A., Anderegg N., Egger M., Fatti G., Vinikoor M., Sawry S., Ehmer J., Eley B., Phiri S., Technau K. -G. u. N., Chimbetete C., Rabie H., Boulle A., Tanser F., Wood R., Wools-Kaloustian K., Vreeman R., Oyaro P., Ayaya S., Nakigozi G., Musick B., Yiannoutsos C., Amorissani-Folquet M., Takassi E., Sylla M., Renner L., Malateste K., Desmonde S., Leroy V., Kurniati N., Hansudewechakul R., Nguyen L. V., Ly P. S., Truong K. H., Kariminia A., Sohn A. H., Edmonds A., Yumo H. A., Dusingize J. C., Yotebieng M., Judd A., Rojo P., Smit C., Grabar S., Warszwarski J., Chene G., Raban D., Patel K., Seage G. R., Van Dyke R. B., Oleske J., Williams P. L., Abzug M. J., Succi R., Machado D. M., Pinto J., Rouzier V., Luque M., Mejia F., Khol V., Tucker J., Kumarasamy N., Saghayam S., Chandrasekaran E., Wati D. K., Vedaswari D., Malino I. Y., Muktiarti D., Fong S. M., Lim M., Daut F., Nik Yusoff N. K., Mohamad P., Mohamed T. J., Drawis M. R., Nallusamy R., Chan K. C., Sudjaritruk T., Sirisanthana V., Aurpibul L., Oberdorfer P., Denjanta S., Watanaporn S., Kongphonoi A., Lumbiganon P., Kosalaraksa P., Tharnprisan P., Udomphanit T., Jourdain G., Puthanakit T., Anugulruengkitt S., Phadungphon C., Chokephaibulkit K., Lapphra K., Phongsamart W., Sricharoenchai S., Du Q. T., Nguyen C. H., Do V. C., Ha T. M., An V. T., Khu D. T. K., Pham A. N., Nguyen L. T., Le O. N., Ross J. L., Sethaputra C., Law M. G., Cahn P., Cesar C., Fink V., Sued O., Dell'isola E., Perez H., Valiente J., Yamamoto C., Grinsztejn B., Veloso V., Luz P., de Boni R., Wagner S. C., Friedman R., Moreira R., Ferreira F., Maia M., de Menezes Succi R. C., Barbosa Gouv E A A. F. a. T., Wolff M., Cortes C., Rodriguez M. F., Allendes G., Pape J. W., Marcelin A., Perodin C., Luque M. T., Padgett D., Madero J. S., Ramirez B. C., Belaunzaran P., Vega Y. C., Gotuzzo E., Carriquiry G., McGowan C. C., Shepherd B. E., Sterling T., Jayathilake K., Person A. K., Rebeiro P. F., Giganti M., Castilho J., Duda S. N., Maruri F., Vansell H., P E Lagie N., Gateretse P., Munezero J., Nitereka V., Niyongabo T., Twizere C., Bukuru H., Nahimana T., Biziragusenyuka J., Manyundo R. S., Atsu K., Mbuh T., Ajeh R., Benwi M., Dzudie A., Mbuh A., Ngamani M. L., Nkome V., Amadou D., Ngassam E., Pefura Yone E. W., Ewanoge A. N., Fuhngwa N., Moki C., Akele C., Kitetele F., Lelo P., Tabala M., Okitolonda E. W., Wenzi L., Diafouka M., Ekat M. H., Nsonde D. M., Mafou A., Ntarambirwa F., Tuyishimire Y., Hakizimana T., Ayinkamiye J., Mukantwali S., Kayitesi H., Uwamahoro O., Habumuremyi V., Mukamana J., Kubwimana G., Mugenzi P., Muhoza B., Munyaneza A., Ndahiro E., Nyiransabimana D., D'Amour Sinayobye J., Sugira V., Benekigeri C., Mbaraga G., Adedimeji A., Anastos K., Dilorenzo M., Murchison L., Ross J., Addison D., Baker M., Brazier E., Jones H., Kelvin E., Kulkarni S., Nash D., Tymejczyk O., Elul B., Cai X., Hoover D., Kim H. -Y., Li C., Shi Q., Lancaster K., Kuniholm M., Parcesepe A., Duda S., Kimmel A., McNairy M., Diero L., Plus A. M. P. A. T. H., Bukusi E., Ssali J., Nalugoda F., Somi G. R., Lyamuya R. E., Ngonyani K., Lugina E., Urassa M., Michael D., Zannou M. D., Poda A., Sarfo F. S., Messou E., Chenal H., Minga K. A., Bissagnene E., Tanon A., Seydi M., Patassi A. A., Koumakpai-Adeothy S. A., Renner L. A., N'gbeche S. M., Bosse C. A., Kouakou K., Folquet M. A., Eboua F. c. O. T., Traore F. D., Dabis F. c. O., Arrive E., Balestre E., Becquet R., Bernard C., Arikawa S. C., Doring A., Jaquet A., Rabourdin E., Tiendrebeogo T., Jesson J., Ekouevi D. K., Azani J. -C., Coffi E P., Gnepa G., Kouadio C. G. K., Tchounga B., Maartens G., Lettow M. V., Muhairwe J., Jores A., Kamenova K., Fox M. P., Prozesky H., Zangerle R., Touloumi G., Warszawski J., Meyer L., Krause M. M., Ghosn J., Leport C., Wittkop L., Reiss P., Wit F., Prins M., Bucher H., Gibb D., Fatkenheuer G., Del Amo J., Obel N., Thorne C., Mocroft A., Kirk O., Stephan C., Perez-Hoyos S., Hamouda O., Bartmeyer B., Chkhartishvili N., Noguera-Julian A., Antinori A., D'Arminio Monforte A., Brockmeyer N., Prieto L., Conejo P. R., Soriano-Arandes A., Battegay M., Kouyos R., Mussini C., Tookey P., Casabona J., Miro J. M., Castagna A., Konopnick D., Goetghebuer T., Sonnerborg A., Torti C., Sabin C., Teira R., Garrido M., Haerry D., de Wit S., Costagliola D., Raben D., Barger D., Schwimmer C., Termote M., Campbell M., Frederiksen C. M., Friis-Moller N., Kjaer J., Brandt R. S., Berenguer J., Bohlius J., Bouteloup V., Cozzi-Lepri A., Dorrucci M., Dunn D., Furrer H., Guiguet M., Lambotte O., Lodi S., Matheron S., Miro J. M. ª., Monge S., Nakagawa F., Paredes R., Phillips A., Puoti M., Rohner E., Schomaker M., Sterne J., Thiebaut R., van der Valk M., Hazra R., Heckman B., O'gara E., Siminski S., Panayidou, K, Davies, M, Anderegg, N, Egger, M, Fatti, G, Vinikoor, M, Sawry, S, Ehmer, J, Eley, B, Phiri, S, Technau, K, Chimbetete, C, Rabie, H, Boulle, A, Tanser, F, Wood, R, Wools-Kaloustian, K, Vreeman, R, Oyaro, P, Ayaya, S, Nakigozi, G, Musick, B, Yiannoutsos, C, Amorissani-Folquet, M, Takassi, E, Sylla, M, Renner, L, Malateste, K, Desmonde, S, Leroy, V, Kurniati, N, Hansudewechakul, R, Nguyen, L, Ly, P, Truong, K, Kariminia, A, Sohn, A, Edmonds, A, Yumo, H, Dusingize, J, Yotebieng, M, Judd, A, Rojo, P, Smit, C, Grabar, S, Warszwarski, J, Chene, G, Raban, D, Patel, K, Seage, G, Van Dyke, R, Oleske, J, Williams, P, Abzug, M, Succi, R, Machado, D, Pinto, J, Rouzier, V, Luque, M, Mejia, F, Khol, V, Tucker, J, Kumarasamy, N, Saghayam, S, Chandrasekaran, E, Wati, D, Vedaswari, D, Malino, I, Muktiarti, D, Fong, S, Lim, M, Daut, F, Nik Yusoff, N, Mohamad, P, Mohamed, T, Drawis, M, Nallusamy, R, Chan, K, Sudjaritruk, T, Sirisanthana, V, Aurpibul, L, Oberdorfer, P, Denjanta, S, Watanaporn, S, Kongphonoi, A, Lumbiganon, P, Kosalaraksa, P, Tharnprisan, P, Udomphanit, T, Jourdain, G, Puthanakit, T, Anugulruengkitt, S, Phadungphon, C, Chokephaibulkit, K, Lapphra, K, Phongsamart, W, Sricharoenchai, S, Du, Q, Nguyen, C, Do, V, Ha, T, An, V, Khu, D, Pham, A, Le, O, Ross, J, Sethaputra, C, Law, M, Cahn, P, Cesar, C, Fink, V, Sued, O, Dell'Isola, E, Perez, H, Valiente, J, Yamamoto, C, Grinsztejn, B, Veloso, V, Luz, P, de Boni, R, Wagner, S, Friedman, R, Moreira, R, Ferreira, F, Maia, M, de Menezes Succi, R, Barbosa Gouv E A, A, Wolff, M, Cortes, C, Rodriguez, M, Allendes, G, Pape, J, Marcelin, A, Perodin, C, Padgett, D, Madero, J, Ramirez, B, Belaunzaran, P, Vega, Y, Gotuzzo, E, Carriquiry, G, Mcgowan, C, Shepherd, B, Sterling, T, Jayathilake, K, Person, A, Rebeiro, P, Giganti, M, Castilho, J, Duda, S, Maruri, F, Vansell, H, P E Lagie, N, Gateretse, P, Munezero, J, Nitereka, V, Niyongabo, T, Twizere, C, Bukuru, H, Nahimana, T, Biziragusenyuka, J, Manyundo, R, Atsu, K, Mbuh, T, Ajeh, R, Benwi, M, Dzudie, A, Mbuh, A, Ngamani, M, Nkome, V, Amadou, D, Ngassam, E, Pefura Yone, E, Ewanoge, A, Fuhngwa, N, Moki, C, Akele, C, Kitetele, F, Lelo, P, Tabala, M, Okitolonda, E, Wenzi, L, Diafouka, M, Ekat, M, Nsonde, D, Mafou, A, Ntarambirwa, F, Tuyishimire, Y, Hakizimana, T, Ayinkamiye, J, Mukantwali, S, Kayitesi, H, Uwamahoro, O, Habumuremyi, V, Mukamana, J, Kubwimana, G, Mugenzi, P, Muhoza, B, Munyaneza, A, Ndahiro, E, Nyiransabimana, D, D'Amour Sinayobye, J, Sugira, V, Benekigeri, C, Mbaraga, G, Adedimeji, A, Anastos, K, Dilorenzo, M, Murchison, L, Addison, D, Baker, M, Brazier, E, Jones, H, Kelvin, E, Kulkarni, S, Nash, D, Tymejczyk, O, Elul, B, Cai, X, Hoover, D, Kim, H, Li, C, Shi, Q, Lancaster, K, Kuniholm, M, Parcesepe, A, Kimmel, A, Mcnairy, M, Diero, L, Plus, A, Bukusi, E, Ssali, J, Nalugoda, F, Somi, G, Lyamuya, R, Ngonyani, K, Lugina, E, Urassa, M, Michael, D, Zannou, M, Poda, A, Sarfo, F, Messou, E, Chenal, H, Minga, K, Bissagnene, E, Tanon, A, Seydi, M, Patassi, A, Koumakpai-Adeothy, S, N'Gbeche, S, Bosse, C, Kouakou, K, Folquet, M, Eboua, F, Traore, F, Dabis, F, Arrive, E, Balestre, E, Becquet, R, Bernard, C, Arikawa, S, Doring, A, Jaquet, A, Rabourdin, E, Tiendrebeogo, T, Jesson, J, Ekouevi, D, Azani, J, Coffi E, P, Gnepa, G, Kouadio, C, Tchounga, B, Maartens, G, Lettow, M, Muhairwe, J, Jores, A, Kamenova, K, Fox, M, Prozesky, H, Zangerle, R, Touloumi, G, Warszawski, J, Meyer, L, Krause, M, Ghosn, J, Leport, C, Wittkop, L, Reiss, P, Wit, F, Prins, M, Bucher, H, Gibb, D, Fatkenheuer, G, Del Amo, J, Obel, N, Thorne, C, Mocroft, A, Kirk, O, Stephan, C, Perez-Hoyos, S, Hamouda, O, Bartmeyer, B, Chkhartishvili, N, Noguera-Julian, A, Antinori, A, D'Arminio Monforte, A, Brockmeyer, N, Prieto, L, Conejo, P, Soriano-Arandes, A, Battegay, M, Kouyos, R, Mussini, C, Tookey, P, Casabona, J, Miro, J, Castagna, A, Konopnick, D, Goetghebuer, T, Sonnerborg, A, Torti, C, Sabin, C, Teira, R, Garrido, M, Haerry, D, de Wit, S, Costagliola, D, Raben, D, Barger, D, Schwimmer, C, Termote, M, Campbell, M, Frederiksen, C, Friis-Moller, N, Kjaer, J, Brandt, R, Berenguer, J, Bohlius, J, Bouteloup, V, Cozzi-Lepri, A, Dorrucci, M, Dunn, D, Furrer, H, Guiguet, M, Lambotte, O, Lodi, S, Matheron, S, Monge, S, Nakagawa, F, Paredes, R, Phillips, A, Puoti, M, Rohner, E, Schomaker, M, Sterne, J, Thiebaut, R, van der Valk, M, Hazra, R, Heckman, B, O'Gara, E, and Siminski, S

Subjects
0301 basic medicine, Male, sub-Saharan Africa, Databases, Factual, CD4 cell count, HIV Infections, Global Health, Cohort Studies, 0302 clinical medicine, Central and South America, Advanced disease, Medicine, 030212 general & internal medicine, Prospective Studies, Cd4 cell count, skin and connective tissue diseases, Child, Research Articles, humanities, 3. Good health, Europe, Infectious Diseases, Child, Preschool, Income, Drug Therapy, Combination, Female, advanced HIV disease, antiretroviral therapy, Asia, Caribbean, North America, WHO guidelines, Adolescent, Adult, Anti-HIV Agents, CD4 Lymphocyte Count, Drug Administration Schedule, Follow-Up Studies, Humans, Poverty, World Health Organization, Research Article, medicine.medical_specialty, education, 610 Medicine & health, 03 medical and health sciences, Acquired immunodeficiency syndrome (AIDS), 360 Social problems & social services, Intensive care medicine, business.industry, Public Health, Environmental and Occupational Health, medicine.disease, 030112 virology, Antiretroviral therapy, Who guidelines, sense organs, business, sub‐Saharan Africa
Abstract

Introduction: The CD4 cell count and percent at initiation of combination antiretroviral therapy (cART) are measures of advanced HIV disease and thus are important indicators of programme performance for children living with HIV. In particular, World Health Organization (WHO) 2017 guidelines on advanced HIV disease noted that >80% of children aged 40% of children in low- and middle-income countries started cART with severe immunodeficiency compared to

Published
2018
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10. Improved darunavir genotypic mutation score predicting treatment response for patients infected with HIRaben-1 subtype B and non-subtype B receiving a salvage regimen

Author

De Luca A., Flandre P., Dunn D., Zazzi M., Wensing A., Santoro M. M., Gunthard H. F., Wittkop L., Kordossis T., Garcia F., Castagna A., Cozzi-Lepri A., Churchill D., De Wit S., Brockmeyer N. H., Imaz A., Mussini C., Obel N., Perno C. F., Roca B., Reiss P., Schulter E., Torti C., van Sighem A., Zangerle R., Descamps D., Mocroft A., Kirk O., Sabin C., Casadi W., Casabona J., Miro J. M., Touloumi G., Garrido M., Teira R., Wit F., Warszawski J., Meyer L., Dabis F., Krause M. M., Ghosn J., Leport C., Prins M., Bucher H., Gibb D., Fatkenheuer G., del Amo J., Thorne C., Stephan C., Perez-Hoyos S., Hamouda O., Bartmeyer B., Chkhartishvili N., Noguera-Julian A., Antinori A., d'Arminio Monforte A., Prieto L., Conejo P. R., Soriano-Arandes A., Battegay M., Kouyos R., Tookey P., Konopnick D., Goetghebuer T., Sonnerborg A., Haerry D., de Wit S., Costagliola D., Raben D., Chene G., Ceccherini-Silberstein F., Gunthard H., Judd A., Barger D., Schwimmer C., Termote M., Campbell M., Frederiksen C. M., Friis-Moller N., Kjaer J., Brandt R. S., Berenguer J., Bohlius J., Bouteloup V., Davies M. -A., Dorrucci M., Egger M., Furrer H., Guiguet M., Grabar S., Lambotte O., Leroy V., Lodi S., Matheron S., Monge S., Nakagawa F., Paredes R., Phillips A., Puoti M., Schomaker M., Smit C., Sterne J., Thiebaut R., van der Valk M., Wyss N., Aubert V., Bernasconi E., Boni J., Burton-Jeangros C., Calmy A., Cavassini M., Dollenmaier G., Elzi L., Fehr J., Fellay J., Fux C. A., Gorgievski M., Hasse B., Hirsch H. H., Hoffmann M., Hosli I., Kahlert C., Kaiser L., Keiser O., Klimkait T., Kovari H., Ledergerber B., Martinetti G., Martinez de Tejada B., Metzner K., Muller N., Nadal D., Nicca D., Pantaleo G., Rauch A., Regenass S., Rickenbach M., Rudin C., Schoni-Affolter F., Schmid P., Schupbach J., Speck R., Tarr P., Telenti A., Trkola A., Vernazza P., Weber R., Yerly S., De Luca, A, Flandre, P, Dunn, D, Zazzi, M, Wensing, A, Santoro, M, Gunthard, H, Wittkop, L, Kordossis, T, Garcia, F, Castagna, A, Cozzi-Lepri, A, Churchill, D, De Wit, S, Brockmeyer, N, Imaz, A, Mussini, C, Obel, N, Perno, C, Roca, B, Reiss, P, Schulter, E, Torti, C, van Sighem, A, Zangerle, R, Descamps, D, Mocroft, A, Kirk, O, Sabin, C, Casadi, W, Casabona, J, Miro, J, Touloumi, G, Garrido, M, Teira, R, Wit, F, Warszawski, J, Meyer, L, Dabis, F, Krause, M, Ghosn, J, Leport, C, Prins, M, Bucher, H, Gibb, D, Fatkenheuer, G, del Amo, J, Thorne, C, Stephan, C, Perez-Hoyos, S, Hamouda, O, Bartmeyer, B, Chkhartishvili, N, Noguera-Julian, A, Antinori, A, d'Arminio Monforte, A, Prieto, L, Conejo, P, Soriano-Arandes, A, Battegay, M, Kouyos, R, Tookey, P, Konopnick, D, Goetghebuer, T, Sonnerborg, A, Haerry, D, de Wit, S, Costagliola, D, Raben, D, Chene, G, Ceccherini-Silberstein, F, Judd, A, Barger, D, Schwimmer, C, Termote, M, Campbell, M, Frederiksen, C, Friis-Moller, N, Kjaer, J, Brandt, R, Berenguer, J, Bohlius, J, Bouteloup, V, Davies, M, Dorrucci, M, Egger, M, Furrer, H, Guiguet, M, Grabar, S, Lambotte, O, Leroy, V, Lodi, S, Matheron, S, Monge, S, Nakagawa, F, Paredes, R, Phillips, A, Puoti, M, Schomaker, M, Smit, C, Sterne, J, Thiebaut, R, van der Valk, M, Wyss, N, Aubert, V, Bernasconi, E, Boni, J, Burton-Jeangros, C, Calmy, A, Cavassini, M, Dollenmaier, G, Elzi, L, Fehr, J, Fellay, J, Fux, C, Gorgievski, M, Hasse, B, Hirsch, H, Hoffmann, M, Hosli, I, Kahlert, C, Kaiser, L, Keiser, O, Klimkait, T, Kovari, H, Ledergerber, B, Martinetti, G, Martinez de Tejada, B, Metzner, K, Muller, N, Nadal, D, Nicca, D, Pantaleo, G, Rauch, A, Regenass, S, Rickenbach, M, Rudin, C, Schoni-Affolter, F, Schmid, P, Schupbach, J, Speck, R, Tarr, P, Telenti, A, Trkola, A, Vernazza, P, Weber, R, Yerly, S, University of Zurich, De Luca, Andrea, Santoro, Mm, Günthard, Hf, Brockmeyer, Nh, Perno, Cf, Schülter, E, on behalf of CHAIN and COHERE in, Eurocoord, AII - Amsterdam institute for Infection and Immunity, APH - Amsterdam Public Health, Global Health, Infectious diseases, and Medical Microbiology and Infection Prevention

Subjects
0301 basic medicine, Oncology, Male, Enfuvirtide, Genotyping Techniques, HIV Infections, 2726 Microbiology (medical), 10234 Clinic for Infectious Diseases, 0302 clinical medicine, HIV Protease, Genotype, 2736 Pharmacology (medical), Medicine, HIV Infection, Pharmacology (medical), 030212 general & internal medicine, Non-U.S. Gov't, Darunavir, Aged, 80 and over, Microbial Sensitivity Test, Medicine (all), Research Support, Non-U.S. Gov't, Proteolytic enzymes, Middle Aged, Settore MED/07 - Microbiologia e Microbiologia Clinica, Prognosis, Europe, 3004 Pharmacology, Treatment Outcome, Infectious Diseases, Mutation (genetic algorithm), Female, Human, medicine.drug, Microbiology (medical), Adult, medicine.medical_specialty, Adolescent, Pharmacology, Prognosi, Anti-HIV Agents, 610 Medicine & health, Microbial Sensitivity Tests, Settore MED/17 - MALATTIE INFETTIVE, Research Support, Article, 03 medical and health sciences, Young Adult, Internal medicine, Linear regression, Drug Resistance, Viral, Journal Article, Humans, Aged, Receiver operating characteristic, business.industry, Anti-HIV Agent, 2725 Infectious Diseases, Raltegravir, 030112 virology, Virology, HIV Darunavir, Mutation, HIV-1, genotypic, Genotyping Technique, business
Abstract

Objectives: The objective of this studywas to improve the prediction of the impact of HIV-1 protease mutations in different viral subtypes on virological response to darunavir. Methods: Darunavir-containing treatment change episodes (TCEs) in patients previously failing PIs were selected from large European databases. HIV-1 subtype B-infected patients were used as the derivation dataset and HIV- 1 non-B-infected patients were used as the validation dataset. The adjusted association of each mutation with week 8 HIV RNA change from baseline was analysed by linear regression. A prediction model was derived based on best subset least squares estimation with mutational weights corresponding to regression coefficients. Virological outcome prediction accuracy was compared with that from existing genotypic resistance interpretation systems (GISs) (ANRS 2013, Rega 9.1.0 and HIVdb 7.0). Results: TCEs were selected from 681 subtype B-infected and 199 non-B-infected adults. Accompanying drugs were NRTIs in 87%, NNRTIs in 27%and raltegravir ormaraviroc or enfuvirtide in 53%. The predictionmodel included weighted protease mutations, HIV RNA, CD4 and activity of accompanying drugs. The model's association with week 8 HIV RNA change in the subtype B (derivation) set was R2=0.47 [average squared error (ASE)=0.67, P>10-6]; in the non-B (validation) set, ASE was 0.91. Accuracy investigated by means of area under the receiver operating characteristic curves with a binary response (above the threshold value of HIV RNA reduction) showed that our finalmodel outperformed models with existing interpretation systems in both training and validation sets. Conclusions: A model with a new darunavir-weighted mutation score outperformed existing GISs in both B and non-B subtypes in predicting virological response to darunavir.

Published
2016

11. Cellular HIV-1 DNA quantification and short-term and long-term response to antiretroviral therapy

Author

Masquelier, B., Taieb, A., Reigadas, S., Marchou, B., Cheneau, C., Spire, B., Charpentier, C., Leport, C., Raffi, F., Chene, G., Descamps, D., Salamon, R., Moatti, J.- P., Pierret, J., Brun-Vezinet, F., Fleury, H., Peytavin, G., Garraffo, R., Costagliola, D., Dellamonica, P., Katlama, C., Meyer, L., Salmon, D., Sobel, A., Cuzin, L., Dupon, M., Duval, X., Le Moing, V., May, T., Morlat, P., Rabaud, C., Waldner-Combernoux, A., Reboud, P., Couffin-Cadiergues, S., Marchand, L., Bouteloup, V., Bouhnik, A. D., Brunet-Francois, C., Caron, V., Carrieri, M. P., Courcoul, M., Couturier, F., Hardel, L., Iordache, L., Kurkdji, P., Martiren, S., Preau, M., Protopopescu, C., Surzyn, J., Villes, V., Schmit, J. L., Chennebault, J. M., Faller, J. P., Mgy-Bertrand, N., Hoen, B., Drobachef, Bouchaud, O., Longy-Boursier, Ragnaud, J. M., Granier, P., Garre, M., Verdon, R., Merrien, D., Devidas, A., Piroth, L., Perronne, C., Froguel, E., Ceccaldi, J., Peyramond, D., Allard, C., Reynes, J., Fuzibet, J. G., Arsac, P., Bouvet, E., Bricaire, F., Bergmann, P., Cabane, J., Monsonego, J., Girard, P. M., Guillevin, L., Herson, S., Meyohas, M. C., Molina, J. M., Pialoux, G., Roblot, P., Jaussaud, R., Michelet, C., Lucht, F., Debord, T., Rey, D., De Jaureguiberry, J. P., Bernard, L., Service de virologie et d'immunologie biologique, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service Maladies infectieuses et tropicales [CHU Toulouse], Pôle Inflammation, infection, immunologie et loco-moteur [CHU Toulouse] (Pôle I3LM Toulouse), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Modèles et méthodes de l'évaluation thérapeutique des maladies chroniques (U738 / UMR_S738), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Maladies infectieuses et tropicales, Service de microbiologie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service des Maladies Infectieuses et Tropicales, CHU Toulouse [Toulouse]-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse], Institut de Recherche pour le Développement (IRD)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7)

Subjects
Male, medicine.medical_treatment, HIV Infections, Polymerase Chain Reaction, MESH: Antiretroviral Therapy, Highly Active, Cohort Studies, MESH: Proviruses, MESH: HIV-1, chemistry.chemical_compound, Proviruses, MESH: Drug Monitoring, Antiretroviral Therapy, Highly Active, Immunopathology, Pharmacology (medical), Prospective Studies, MESH: Anti-HIV Agents, MESH: Cohort Studies, MESH: Treatment Outcome, 0303 health sciences, MESH: Middle Aged, biology, virus diseases, MESH: HIV Infections, Middle Aged, Viral Load, 3. Good health, Treatment Outcome, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Infectious Diseases, Lentivirus, Cohort, Female, Drug Monitoring, MESH: Viral Load, Viral load, Adult, Microbiology (medical), Anti-HIV Agents, Peripheral blood mononuclear cell, Virus, 03 medical and health sciences, medicine, Humans, 030304 developmental biology, Pharmacology, Chemotherapy, MESH: Humans, 030306 microbiology, MESH: Adult, MESH: Polymerase Chain Reaction, biology.organism_classification, MESH: Male, MESH: Prospective Studies, MESH: DNA, Viral, chemistry, DNA, Viral, Immunology, HIV-1, MESH: Female, DNA
Abstract

International audience; BACKGROUND: The aim of our study was to determine whether HIV-1 DNA level before antiretroviral therapy (ART) was associated with short- and long-term virological and immunological responses. METHODS: Patients starting first-line protease inhibitor-containing regimens were enrolled in a prospective multicentre cohort in 1998-99. HIV-1 DNA was quantified using real-time PCR at baseline and after 1 year of ART. The association between HIV-1 DNA and virological and immunological responses after 1 and 7 years on ART was studied in multivariate regression models along with other biological and clinical variables. Virological failure (VF) at month 12 (M12) was defined as a plasma HIV-1 RNA >500 copies/mL. Time to death or two plasma HIV-1 RNA >500 copies/mL between M12 and M84 was studied for long-term VF. RESULTS: HIV-1 DNA levels were measured in 148 patients. The median baseline peripheral blood mononuclear cell (PBMC) HIV-1 DNA was 3.7 log(10) copies/10(6) PBMCs. At M12, the median PBMC HIV-1 DNA was 2.99 log(10) copies/10(6) PBMCs. The median decrease in PBMC HIV-1 DNA between M0 and M12 was -0.7 log(10) copies/10(6) PBMCs. Higher baseline PBMC HIV-1 DNA and plasma HIV-1 RNA were independently associated with a higher risk of VF at M12. Only the baseline plasma HIV-1 RNA was independently associated with long-term virological response. The baseline CD4 cell count was the only parameter associated with short- and long-term immunological responses. CONCLUSIONS: HIV-1 DNA impacted the virological response in our cohort. Further research is warranted to study the impact of HIV-1 DNA with currently recommended first-line cART.

Published
2011
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12. Long-term mortality in HIV-positive individuals virally suppressed for >3 years with incomplete CD4 recovery

Author

Engsig, F. N., Zangerle, R., Katsarou, O., Dabis, F., Reiss, P., Gill, J., Porter, K., Sabin, C., Riordan, A., Fatkenheuer, G., Gutierrez, F., Raffi, F., Kirk, O., Mary-Krause, M., Stephan, C., de Olalla, P. G., Guest, J., Samji, H., Castagna, A., d'Arminio Monforte, A., Skaletz-Rorowski, A., Ramos, J., Lapadula, G., Mussini, C., Force, L., Meyer, L., Lampe, F., Boufassa, F., Bucher, H. C., De Wit, S., Burkholder, G. A., Teira, R., Justice, A. C., Sterling, T. R., M. Crane, H., Gerstoft, J., Grarup, J., May, M., Chene, G., Ingle, S. M., Sterne, J., Obel, N., Burkholder, G., Justice, A., R Sterling, T., Crane, H. M., Boulle, A., Brodt, H.-R., Casabona, J., Cavassini, M., Costagliola, D., D'Arminio Monforte, A., del Amo, J., Van Sighem, A., Hans-Ulrich Haerry, D., Hogg, R., Mocroft, A., Kitahata, M., Saag, M., Williams, M., Ingle, S., Touloumi, G., Warszawski, J., Krause, M. M., Ghosn, J., Leport, C., Wit, F., Prins, M., Gibb, D., Del Amo, J., Thorne, C., Perez-Hoyos, S., Hamouda, O., Gussenheimer-Bartmeyer, B., Noguera-Julian, A., Antinori, A., Brockmeyer, N., Battegay, M., Rauch, A., Tookey, P., Miro, J. M., de Wit, S., Goetghebuer, T., Torti, C., Garrido, M., Judd, A., Conejo, P. R., Haerry, D., Weller, I., d'Arminio-Monforte, A., Colin, C., Schwimmer, C., Termote, M., Kjaer, J., Campbell, M., Raben, D., Bohlius, J., Bouteloup, V., Bucher, H., Cozzi-Lepri, A., Dorrucci, M., Egger, M., Engsig, F., Furrer, H., Lambotte, O., Lewden, C., Lodi, S., Lodwick, R., Matheron, S., Miro, J., Monge, S., Nakagawa, F., Paredes, R., Phillips, A., Puoti, M., Reekie, J., Scherrer, A., Smit, C., Thiebaut, R., Wittkop, L., 2nd Blood Transfusion Center and Hemophilia Center, 'Laiko' General Hospital, Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Structures et propriétés d'architectures moléculaire (SPRAM - UMR 5819), Institut Nanosciences et Cryogénie (INAC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Observatoire des Micro et Nano Technologies (OMNT - UMS 2920), Laboratoire d'Electronique et des Technologies de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Southern Alberta Clinic, Research Department of Infection and Population Health [London], University College of London [London] (UCL), Equipe Perception et design sonores, Sciences et Technologies de la Musique et du Son (STMS), Université Pierre et Marie Curie - Paris 6 (UPMC)-IRCAM-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-IRCAM-Centre National de la Recherche Scientifique (CNRS), Equipe Interactions musicales temps-réel, Maladies infectieuses et tropicales, Université Pierre et Marie Curie - Paris 6 (UPMC), Institute of Biology, Neuchatel, Université de Neuchâtel (UNINE), School of Psychology, St Andrews, University of St Andrews [Scotland], Infectious Diseases, San Raffaele Scientific Institute, EA 4100, Histoire culturelle et sociale de l'art (HiCSA), Université Panthéon-Sorbonne (UP1)-Université Panthéon-Sorbonne (UP1), Laboratory of Inorganic Chemistry, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Princeton University, Immuno-Rhumatologie Moléculaire, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Population Sciences, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Paläontologisches Institut und Museum, Universität Zürich [Zürich] (UZH), Laboratory, GD Deventer, Rigshospitalet [Copenhagen], Department of Social Medicine, University of Bristol [Bristol], Department of Infectious Diseases, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche et Coordination Acoustique/Musique (IRCAM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), School of Psychology and Neuroscience [University of St. Andrews], Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris 1 Panthéon-Sorbonne (UP1), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Universität Zürich [Zürich] = University of Zurich (UZH), Royal GD [Deventer], Copenhagen University Hospital, Copenhagen University Hospital-Copenhagen University Hospital, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Engsig, F. N., Zangerle, R., Katsarou, O., Dabis, F., Reiss, P., Gill, J., Porter, K., Sabin, C., Riordan, A., Fatkenheuer, G., Gutierrez, F., Raffi, F., Kirk, O., Mary-Krause, M., Stephan, C., De Olalla, P. G., Guest, J., Samji, H., Castagna, A., D'arminio Monforte, A., Skaletz-Rorowski, A., Ramos, J., Lapadula, G., Mussini, C., Force, L., Meyer, L., Lampe, F., Boufassa, F., Bucher, H. C., De Wit, S., Burkholder, G. A., Teira, R., Justice, A. C., Sterling, T. R., M. Crane, H., Gerstoft, J., Grarup, J., May, M., Chene, G., Ingle, S. M., Sterne, J., Obel, N., Engsig, F, Zangerle, R, Katsarou, O, Dabis, F, Reiss, P, Gill, J, Porter, K, Sabin, C, Riordan, A, Fatkenheuer, G, Gutierrez, F, Raffi, F, Kirk, O, Mary-Krause, M, Stephan, C, De Olalla, P, Guest, J, Samji, H, Castagna, A, D'arminio Monforte, A, Skaletz-Rorowski, A, Ramos, J, Lapadula, G, Mussini, C, Force, L, Meyer, L, Lampe, F, Boufassa, F, Bucher, H, De Wit, S, Burkholder, G, Teira, R, Justice, A, Sterling, T, M. Crane, H, Gerstoft, J, Grarup, J, May, M, Chene, G, Ingle, S, Sterne, J, Obel, N, AII - Amsterdam institute for Infection and Immunity, APH - Amsterdam Public Health, Global Health, and Infectious diseases

Subjects
Male, Oncology, MESH: CD4 Lymphocyte Count, [SDV]Life Sciences [q-bio], HIV Infections, MESH: Logistic Models, Cohort Studies, MESH: Cause of Death, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, Cause of Death, Medicine, HIV Infection, 030212 general & internal medicine, MESH: Anti-HIV Agents, MESH: Cohort Studies, Immunodeficiency, Cause of death, 0303 health sciences, MESH: Middle Aged, Hazard ratio, MESH: HIV Infections, Middle Aged, Viral Load, 3. Good health, Infectious Diseases, MESH: Substance-Related Disorders, HIV/AIDS, Female, MESH: Viral Load, Viral load, MESH: Heterosexuality, Human, Adult, Microbiology (medical), Cart, medicine.medical_specialty, Logistic Model, Anti-HIV Agents, Substance-Related Disorders, 03 medical and health sciences, Acquired immunodeficiency syndrome (AIDS), Internal medicine, Humans, sustained viral suppression, Heterosexuality, 030304 developmental biology, MESH: Humans, business.industry, Proportional hazards model, Risk Factor, Anti-HIV Agent, HIV, MESH: Adult, Substance-Related Disorder, medicine.disease, mortality, CD4 cell recovery, Confidence interval, MESH: Male, CD4 Lymphocyte Count, Logistic Models, Immunology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Cohort Studie, business, MESH: Female
Abstract

Background. Some human immunodeficiency virus (HIV)-infected individuals initiating combination antiretroviral therapy (cART) with low CD4 counts achieve viral suppression but not CD4 cell recovery. We aimed to identify (1) risk factors for failure to achieve CD4 count >200 cells/μL after 3 years of sustained viral suppression and (2) the association of the achieved CD4 count with subsequent mortality.Methods. We included treated HIV-infected adults from 2 large international HIV cohorts, who had viral suppression (≤500 HIV type 1 RNA copies/mL) for >3 years with CD4 count ≤200 cells/μL at start of the suppressed period. Logistic regression was used to identify risk factors for incomplete CD4 recovery (≤200 cells/μL) and Cox regression to identify associations with mortality.Results. Of 5550 eligible individuals, 835 (15%) did not reach a CD4 count >200 cells/μL after 3 years of suppression. Increasing age, lower initial CD4 count, male heterosexual and injection drug use transmission, cART initiation after 1998, and longer time from initiation of cART to start of the virally suppressed period were risk factors for not achieving a CD4 count >200 cells/μL. Individuals with CD4 ≤200 cells/μL after 3 years of viral suppression had substantially increased mortality (adjusted hazard ratio, 2.60; 95% confidence interval, 1.86-3.61) compared with those who achieved CD4 count >200 cells/μL. The increased mortality was seen across different patient groups and for all causes of death.Conclusions. Virally suppressed HIV-positive individuals on cART who do not achieve a CD4 count >200 cells/μL have substantially increased long-term mortality. © The Author 2014.

Published
2014

13. CD4 cell count response to first-line combination ART in HIV-2+ patients compared with HIV-1+ patients: A multinational, multicohort European study

Author

Wittkop, Linda, Arsandaux, Julie, Trevino, Ana, van der Loeff, Maarten Schim, Anderson, Jane, van Sighem, Ard, Böni, Jürg, Brun-Vezinet, Françoise, Soriano, Vicente, Boufassa, Faroudy, Brockmeyer, Norbert, Calmy, Alexandra, Dabis, François, Jarrin, Inma, Dorrucci, Maria, Duque, Vitor, Fätkenheuer, Gerd, Zangerle, Robert, Ferrer, Elena, Porter, Kholoud, Judd, Ali, Sipsas, Nikolaos V., Lambotte, Olivier, Shepherd, Leah, Leport, Catherine, Morrison, Charles, Mussini, Cristina, Obel, Niels, Ruelle, Jean, Schwarze-Zander, Carolyne, Sonnerborg, Anders, Teira, Ramon, Torti, Carlo, Valadas, Emilia, Colin, Celine, Friis-Møller, Nina, Costagliola, Dominique, Thiebaut, Rodolphe, Chene, Geneviève, Matheron, Sophie, Touloumi, Giota, Warszawski, Josiane, Meyer, Laurence, Krause, Murielle Mary, Ghosn, Jade, Reiss, Peter, Wit, Ferdinand, Prins, Maria, Bucher, Heiner, Gibb, Diana, Del Amo, Julia, Thorne, Claire, Mocroft, Amanda, Kirk, Ole, Stephan, Christoph, Pérez-Hoyos, Santiago, Hamouda, Osamah, Bartmeyer, Barbara, Chkhartishvili, Nikoloz, Noguera-Julian, Antoni, Antinori, Andrea, Monforte, Antonella d'Arminio, Prieto, Luis, Conejo, Pablo Rojo, Soriano-Arandes, Antoni, Battegay, Manuel, Kouyos, Roger, Tookey, Pat, Casabona, Jordi, Mirò, Jose M., Castagna, Antonella, Konopnick, Deborah, Goetghebuer, Tessa, Sönnerborg, Anders, Sabin, Caroline, Garrido, Myriam, Haerry, David, Berenguer, Juan, Bohlius, Julia, Bouteloup, Vincent, Cozzi-Lepri, Alessandro, Davies, Mary-Anne, Amo, Julia del, Dunn, David, Egger, Matthias, Furrer, Hansjakob, Guiguet, Marguerite, Grabar, Sophie, Leroy, Valériane, Lodi, Sara, Monge, Susana, Nakagawa, Fumiyo, Paredes, Roger, Phillips, Andrew, Puoti, Massimo, Schomaker, Michael, Smit, Colette, Sterne, Jonathan, van der Valk, Marc, Wyss, Natasha, Epidémiologie et Biostatistique, Institut National de la Santé et de la Recherche Médicale (INSERM), Team MORPH3EUS (INSERM U1219 - UB - ISPED), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Infectious Diseases, Hospital Carlos III, Center for Infection and Immunity Amsterdam - CINIMA [Amsterdam, The Netherlands], Homerton University Hospital, Stichting HIV Monitoring [Amsterdam], Universiteit van Amsterdam (UvA), Universität Zürich [Zürich] = University of Zurich (UZH), Université Paris Diderot - Paris 7 (UPD7), Service de Virologie [CHU Bichat], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Sud - Paris 11 (UP11)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM), Ruhr-Universität Bochum [Bochum], Geneva University Hospital (HUG), CHU de Bordeaux Pellegrin [Bordeaux], Instituto de Salud Carlos III [Madrid] (ISC), CIBER de Epidemiología y Salud Pública (CIBERESP), Istituto Superiore di Sanità (ISS), Hospitais da Universidade de Coimbra (H.U.C.), University of Coimbra [Portugal] (UC), University Hospital of Cologne [Cologne], Innsbruck Medical University = Medizinische Universität Innsbruck (IMU), Hospitalet de Llobregat, University College of London [London] (UCL), National and Kapodistrian University of Athens (NKUA), Service de Médecine Interne et Immunologie clinique [AP-HP Hôpital Bicêtre], Hôpital Bicêtre, Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Université Paris 13 (UP13)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), FHI 360, Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), Rigshospitalet [Copenhagen], Copenhagen University Hospital, Université Catholique de Louvain = Catholic University of Louvain (UCL), University Hospital Bonn, Department of Infectious Diseases, Institution of Medicine, Karolinska University Hospital and Karolinska Institutet, Sierrallana Hospital, Università degli Studi 'Magna Graecia' di Catanzaro = University of Catanzaro (UMG), Universidade de Lisboa = University of Lisbon (ULISBOA), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Bordeaux [Bordeaux], AP-HP - Hôpital Bichat - Claude Bernard [Paris], Infectious diseases, Wittkop, L, Arsandaux, J, Trevino, A, van der Loeff, M, Anderson, J, van Sighem, A, Böni, J, Brun-Vezinet, F, Soriano, V, Boufassa, F, Brockmeyer, N, Calmy, A, Dabis, F, Jarrin, I, Dorrucci, M, Duque, V, Fätkenheuer, G, Zangerle, R, Ferrer, E, Porter, K, Judd, A, Sipsas, N, Lambotte, O, Shepherd, L, Leport, C, Morrison, C, Mussini, C, Obel, N, Ruelle, J, Schwarze-Zander, C, Sonnerborg, A, Teira, R, Torti, C, Valadas, E, Colin, C, Friis-Møller, N, Costagliola, D, Thiebaut, R, Chene, G, Matheron, S, Touloumi, G, Warszawski, J, Meyer, L, Krause, M, Ghosn, J, Reiss, P, Wit, F, Prins, M, Bucher, H, Gibb, D, Del Amo, J, Thorne, C, Mocroft, A, Kirk, O, Stephan, C, Pérez-Hoyos, S, Hamouda, O, Bartmeyer, B, Chkhartishvili, N, Noguera-Julian, A, Antinori, A, Monforte, A, Prieto, L, Conejo, P, Soriano-Arandes, A, Battegay, M, Kouyos, R, Tookey, P, Casabona, J, Mirò, J, Castagna, A, Konopnick, D, Goetghebuer, T, Sönnerborg, A, Sabin, C, Garrido, M, Haerry, D, Berenguer, J, Bohlius, J, Bouteloup, V, Cozzi-Lepri, A, Davies, M, Amo, J, Dunn, D, Egger, M, Furrer, H, Guiguet, M, Grabar, S, Leroy, V, Lodi, S, Monge, S, Nakagawa, F, Paredes, R, Phillips, A, Puoti, M, Schomaker, M, Smit, C, Sterne, J, van der Valk, M, Wyss, N, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Istituto Superiore di Sanita [Rome], Gestionnaire, Hal Sorbonne Université, Wittkop, Linda, Arsandaux, Julie, Trevino, Ana, Van Der Loeff V Schim, Maarten, Anderson, Jane, Van Sighem, Ard, Jurg, Boni, Brun-Vezinet, Francoise, Soriano, Vicente, Boufassa, Faroudy, Brockmeyer, Norbert, Calmy, Alexandra, Dabis, Francoi, Jarrin, Inma, Dorrucci, Maria, Duque, Vitor, Fãtkenheuer, Gerd, Zangerle, Robert, Ferrer, Elena, Porter, Kholoud, Judd, Ali, Sipsas, Nikolaos V, Lambotte, Olivier, Shepherd, Leah, Leport, Catherine, Morrison, Charle, Mussini, Cristina, Obel, Niel, Ruelle, Jean, Schwarze-Zander, Carolyne, Sonnerborg, Ander, Teira, Ramon, Torti, Carlo, Valadas, Emilia, Colin, Celine, Friis-Moller, Nina, Costagliola, Dominique, Thiebaut, Rodolphe, Chene, Geneviève, Matheron, Sophie, on behalf of the COHERE in EuroCoord and ACHIeV2e Study, Group, and Castagna, Antonella

Subjects
0301 basic medicine, CD4-Positive T-Lymphocytes, Male, Internationality, [SDV]Life Sciences [q-bio], Human immunodeficiency virus (HIV), HIV Infections, medicine.disease_cause, Gastroenterology, Anti-HIV Agents/administration & dosage/adverse effects/therapeutic use, Viral/blood, Cohort Studies, 0302 clinical medicine, CD4 HIV, Pharmacology (medical), 030212 general & internal medicine, Cd4 cell count, ddc:616, Confounding, virus diseases, Middle Aged, Viral Load, 3. Good health, [SDV] Life Sciences [q-bio], Europe, HIV-2/drug effects, Infectious Diseases, HIV-1/drug effects, RNA, Viral, Female, Viral load, Cohort study, Microbiology (medical), Cart, Adult, medicine.medical_specialty, Anti-HIV Agents, 030106 microbiology, 03 medical and health sciences, Internal medicine, medicine, Humans, Pharmacology, business.industry, CD4-Positive T-Lymphocytes/immunology/virology, CD4 Lymphocyte Count, Institutional repository, HIV Infections/blood/drug therapy/immunology/virology, HIV-2, HIV-1, RNA, Panton–Valentine leukocidin, business
Abstract

Background: CD4 cell recovery following first-line combination ART (cART) is poorer in HIV-2+ than in HIV-1+ patients. Only large comparisons may allow adjustments for demographic and pretreatment plasma viral load (pVL). Methods: ART-naive HIV+ adults from two European multicohort collaborations, COHERE (HIV-1 alone) and ACHIeV2e (HIV-2 alone), were included, if they started first-line cART (without NNRTIs or fusion inhibitors) between 1997 and 2011. Patients without at least one CD4 cell count before start of cART, without a pretreatment pVL and with missing a priori-defined covariables were excluded. Evolution of CD4 cell count was studied using adjusted linear mixed models. Results: We included 185 HIV-2+ and 30321 HIV-1+ patients with median age of 46 years (IQR 36-52) and 37 years (IQR 31-44), respectively. Median observed pretreatment CD4 cell counts/mm(3) were 203 (95% CI 100-290) in HIV-2+ patients and 223 (95% CI 100-353) in HIV-1+ patients. Mean observed CD4 cell count changes from start of cART to 12months were + 105 (95% CI 77-134) in HIV-2+ patients and + 202 (95% CI 199-205) in HIV-1+ patients, an observed difference of 97 cells/mm(3) in 1 year. In adjusted analysis, the mean CD4 cell increase was overall 25 CD4 cells/mm(3)/year lower (95% CI 5-44; P=0.0127) in HIV-2+ patients compared with HIV-1+ patients. Conclusions: A poorer CD4 cell increase during first-line cART was observed in HIV-2+ patients, even after adjusting for pretreatment pVL and other potential confounders. Our results underline the need to identify more potent therapeutic regimens or strategies against HIV-2

Published
2017
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