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Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study

Kidney injury (defined as the presence of albuminuria, proteinuria, glycosuria [without hyperglycemia], hematuria, and/or renal hypophosphatemia) is an emerging problem in human immunodeficiency virus (HIV)-infected patients, although few data are available on the role of protease inhibitors (PIs) i...

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Autores principales: Bonjoch, Anna, Puig, Jordi, Pérez-Alvarez, Nuria, Juega, Javier, Echeverría, Patricia, Clotet, Bonaventura, Romero, Ramón, Bonet, J., Negredo, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985323/
https://www.ncbi.nlm.nih.gov/pubmed/27512868
http://dx.doi.org/10.1097/MD.0000000000004507
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author Bonjoch, Anna
Puig, Jordi
Pérez-Alvarez, Nuria
Juega, Javier
Echeverría, Patricia
Clotet, Bonaventura
Romero, Ramón
Bonet, J.
Negredo, E.
author_facet Bonjoch, Anna
Puig, Jordi
Pérez-Alvarez, Nuria
Juega, Javier
Echeverría, Patricia
Clotet, Bonaventura
Romero, Ramón
Bonet, J.
Negredo, E.
author_sort Bonjoch, Anna
collection PubMed
description Kidney injury (defined as the presence of albuminuria, proteinuria, glycosuria [without hyperglycemia], hematuria, and/or renal hypophosphatemia) is an emerging problem in human immunodeficiency virus (HIV)-infected patients, although few data are available on the role of protease inhibitors (PIs) in this condition. To determine the time to kidney injury in a cohort of HIV-infected patients receiving a PI-containing regimen. We report the results of a subanalysis of a published cross-sectional study. The subanalysis included only patients receiving PI-containing regimens for more than 6 months (377 of the overall 970 patients). We determined associated factors and constructed receiver operating characteristic curves to estimate time to kidney injury depending on the PI used. The percentage of patients with kidney injury was 27.7% for darunavir, 27.9% for lopinavir, and 30% for atazanavir. Time to kidney injury was as follows: 229 days for atazanavir/ritonavir (area under the curve [AUC], 0.639; sensitivity, 0.89; specificity, 0.41); 332 days for atazanavir/ritonavir plus tenofovir (AUC, 0.603; sensitivity, 0.75; and specificity, 0.29); 318 days for nonboosted atazanavir (AUC, 0.581; sensitivity, 0.89; and specificity, 0.29); 478 days for lopinavir/ritonavir (AUC, 0.566; sensitivity, 0.864; and specificity, 0.44); 1339 days for lopinavir/ritonavir plus tenofovir (AUC, 0.667; sensitivity, 0.86; and specificity, 0.77); 283 days for darunavir/ritonavir (AUC, 0.523; sensitivity, 0.80; and specificity, 0.261); and 286 days for darunavir/ritonavir plus tenofovir (AUC, 0.446; sensitivity, 0.789; and specificity, 0.245). The use of lopinavir/ritonavir without tenofovir was a protective factor (odds ratio = 1.772; 95%CI, 1.070–2.93; P = 0.026). For all PIs, the percentage of patients with kidney injury exceeded 27%, irrespective of tenofovir use. The longest time to kidney injury was recorded with lopinavir/ritonavir. These results demonstrate the need for renal monitoring, including urine samples, in patients receiving a PI-based regimen, even when tenofovir is not used concomitantly.
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spelling pubmed-49853232016-08-26 Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study Bonjoch, Anna Puig, Jordi Pérez-Alvarez, Nuria Juega, Javier Echeverría, Patricia Clotet, Bonaventura Romero, Ramón Bonet, J. Negredo, E. Medicine (Baltimore) 4850 Kidney injury (defined as the presence of albuminuria, proteinuria, glycosuria [without hyperglycemia], hematuria, and/or renal hypophosphatemia) is an emerging problem in human immunodeficiency virus (HIV)-infected patients, although few data are available on the role of protease inhibitors (PIs) in this condition. To determine the time to kidney injury in a cohort of HIV-infected patients receiving a PI-containing regimen. We report the results of a subanalysis of a published cross-sectional study. The subanalysis included only patients receiving PI-containing regimens for more than 6 months (377 of the overall 970 patients). We determined associated factors and constructed receiver operating characteristic curves to estimate time to kidney injury depending on the PI used. The percentage of patients with kidney injury was 27.7% for darunavir, 27.9% for lopinavir, and 30% for atazanavir. Time to kidney injury was as follows: 229 days for atazanavir/ritonavir (area under the curve [AUC], 0.639; sensitivity, 0.89; specificity, 0.41); 332 days for atazanavir/ritonavir plus tenofovir (AUC, 0.603; sensitivity, 0.75; and specificity, 0.29); 318 days for nonboosted atazanavir (AUC, 0.581; sensitivity, 0.89; and specificity, 0.29); 478 days for lopinavir/ritonavir (AUC, 0.566; sensitivity, 0.864; and specificity, 0.44); 1339 days for lopinavir/ritonavir plus tenofovir (AUC, 0.667; sensitivity, 0.86; and specificity, 0.77); 283 days for darunavir/ritonavir (AUC, 0.523; sensitivity, 0.80; and specificity, 0.261); and 286 days for darunavir/ritonavir plus tenofovir (AUC, 0.446; sensitivity, 0.789; and specificity, 0.245). The use of lopinavir/ritonavir without tenofovir was a protective factor (odds ratio = 1.772; 95%CI, 1.070–2.93; P = 0.026). For all PIs, the percentage of patients with kidney injury exceeded 27%, irrespective of tenofovir use. The longest time to kidney injury was recorded with lopinavir/ritonavir. These results demonstrate the need for renal monitoring, including urine samples, in patients receiving a PI-based regimen, even when tenofovir is not used concomitantly. Wolters Kluwer Health 2016-08-12 /pmc/articles/PMC4985323/ /pubmed/27512868 http://dx.doi.org/10.1097/MD.0000000000004507 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-sa/4.0 This is an open access article distributed under the Creative Commons Attribution-ShareAlike License 4.0, which allows others to remix, tweak, and build upon the work, even for commercial purposes, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-sa/4.0
spellingShingle 4850
Bonjoch, Anna
Puig, Jordi
Pérez-Alvarez, Nuria
Juega, Javier
Echeverría, Patricia
Clotet, Bonaventura
Romero, Ramón
Bonet, J.
Negredo, E.
Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study
title Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study
title_full Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study
title_fullStr Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study
title_full_unstemmed Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study
title_short Impact of protease inhibitors on the evolution of urinary markers: Subanalyses from an observational cross-sectional study
title_sort impact of protease inhibitors on the evolution of urinary markers: subanalyses from an observational cross-sectional study
topic 4850
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985323/
https://www.ncbi.nlm.nih.gov/pubmed/27512868
http://dx.doi.org/10.1097/MD.0000000000004507
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