Search Results - "Van Sighem, AI"

CD4 cell counts of 800 cells/mm3 or greater after 7 years of highly active antiretroviral therapy are feasible in most patients starting with 350 Cells/mm3 or greater by GRAS, Luuk, KESSELRING, Anouk M, GRIFFIN, James T, VAN SIGHEM, Ard I, FRASER, Christophe, GHANI, Azra C, MIEDEMA, Frank, REISS, Peter, LANGE, Joep M. A, DE WOLF, Frank

“…CD4 cell count changes in therapy-naive patients were investigated during 7 years of highly active antiretroviral therapy (HAART) in an observational cohort…”
Get full text

Acute hepatitis C in the Netherlands: characteristics of the epidemic in 2014: Virology by Hullegie, S J, van den Berk, GEL, Leyten, EMS, Arends, JE, Lauw, F N, van der Meer, JTM, Posthouwer, D, van Eeden, A, Koopmans, P P, Richter, C, van Kasteren, MEE, Kroon, F P, Bierman, WFW, Groeneveld, PHP, Lettinga, K D, Soetekouw, R, Peters, EJG, Verhagen, DWM, van Sighem, AI, Claassen, MAA, Rijnders, BJA

“…Within the Dutch Acute HCV in HIV Study, a surveillance system was initiated to estimate the incidence of hepatitis C virus (HCV) infections in 2014. Following…”
Get full text

Mortality and progression to AIDS after starting highly active antiretroviral therapy by van Sighem, Ard I, van de Wiel, Mark A, Ghani, Azra C, Jambroes, Mariëlle, Reiss, Peter, Gyssens, Inge C, Brinkman, Kees, Lange, Joep M A, de Wolf, Frank

“…To examine survival and progression to AIDS among HIV-infected patients after starting highly active antiretroviral therapy (HAART). The study population…”
Get full text

Rising HIV-1 viral load set point at a population level coincides with a fading impact of host genetic factors on HIV-1 control by VAN MANEN, Daniëlle, GRAS, Luuk, VAN 'T WOUT, Angélique B, SCHUITEMAKER, Hanneke, BOESER-NUNNINK, Brigitte D, VAN SIGHEM, Ard I, MAURER, Irma, MANGAS RUIZ, Marga M, HARSKAMP, Agnes M, STEINGROVER, Radjin, PRINS, Jan M, DE WOLF, Frank

“…Heterozygosity for a 32 base pair deletion in the CCR5 gene (CCR5wt/Δ32) and the minor alleles of a single-nucleotide polymorphism in the HCP5 gene (rs2395029)…”
Get full text

A comparison of computational models with and without genotyping for prediction of response to second‐line HIV therapy by Revell, AD, Boyd, MA, Wang, D, Emery, S, Gazzard, B, Reiss, P, Sighem, AI, Montaner, JS, Lane, HC, Larder, BA

“…Objectives We compared the use of computational models developed with and without HIV genotype vs. genotyping itself to predict effective regimens for patients…”
Get full text

HIV transmission patterns among The Netherlands, Suriname, and The Netherlands Antilles: a molecular epidemiological study by Kramer, Merlijn A, Cornelissen, Marion, Paraskevis, Dimitrios, Prins, Maria, Coutinho, Roel A, van Sighem, Ard I, Sabajo, Lesley, Duits, Ashley J, Winkel, Cai N, Prins, Jan M, van der Ende, Marchina E, Kauffmann, Robert H, Op de Coul, Eline L

“…We aimed to study patterns of HIV transmission among Suriname, The Netherlands Antilles, and The Netherlands. Fragments of env, gag, and pol genes of 55…”
Get more information

Gender difference in HIV‐1 RNA viral loads by Donnelly, CA, Bartley, LM, Ghani, AC, Le Fevre, AM, Kwong, GP, Cowling, BJ, Van Sighem, AI, De Wolf, F, Rode, RA, Anderson, RM

“…Objectives To test and characterize the dependence of viral load on gender in different countries and racial groups as a function of CD4 T‐cell count. Methods…”
Get full text

The genotypic inhibitory quotient and the (cumulative) number of mutations predict the response to lopinavir therapy by Hoefnagel, Jolanda G M, van der Lee, Manon J, Koopmans, Peter P, Schuurman, Rob, Jurriaans, Suzanne, van Sighem, Ard I, Gras, Luuk, de Wolf, Frank, Galama, Jochem M D, Burger, David M

“…For 95 protease inhibitor-experienced HIV-1-infected patients, the genotypic inhibitory quotient (GIQ; trough level/number of mutations) was calculated for…”
Get full text