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

Autor: 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.
Přispěvatelé: 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, Medical Microbiology and Infection Prevention
Jazyk: angličtina
Rok vydání: 2016
Předmět:
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
Zdroj: JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
r-FISABIO. Repositorio Institucional de Producción Científica
instname
Journal of Antimicrobial Chemotherapy, 71(5), 1352. Oxford University Press
Journal of antimicrobial chemotherapy, 71(5), 1352-1360. Oxford University Press
r-FISABIO: Repositorio Institucional de Producción Científica
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
ISSN: 0305-7453
Popis: 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.
Databáze: OpenAIRE