Cargando…

Time on drug analysis based on real life data

INTRODUCTION: The health condition of HIV-1 infected patients has improved during the last years, but lifelong antiretroviral treatment is still needed. However resistance, multiple side effects and drug to drug interactions of antiretrovirals challenge the establishment of a long lasting regimen. T...

Descripción completa

Detalles Bibliográficos
Autores principales: Schülter, Eugen, Kaiser, Rolf, Zazzi, Maurizio, Sönnerborg, Anders, Camacho, Ricardo, Verheyen, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International AIDS Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225363/
https://www.ncbi.nlm.nih.gov/pubmed/25397534
http://dx.doi.org/10.7448/IAS.17.4.19790
_version_ 1782343489464303616
author Schülter, Eugen
Kaiser, Rolf
Zazzi, Maurizio
Sönnerborg, Anders
Camacho, Ricardo
Verheyen, Jens
author_facet Schülter, Eugen
Kaiser, Rolf
Zazzi, Maurizio
Sönnerborg, Anders
Camacho, Ricardo
Verheyen, Jens
author_sort Schülter, Eugen
collection PubMed
description INTRODUCTION: The health condition of HIV-1 infected patients has improved during the last years, but lifelong antiretroviral treatment is still needed. However resistance, multiple side effects and drug to drug interactions of antiretrovirals challenge the establishment of a long lasting regimen. The average running time of each antiretroviral drug composing the therapy episodes combination antiretroviral therapy (cART) may be seen as an indicator of effectiveness and tolerability. MATERIALS AND METHODS: To evaluate the running time of each drug used in HIV-1 treatment, we extracted therapy episodes from the latest release of the EuResist database (www.euresist.org). The evaluation period was from Oct 2006 to Oct 2012. Inclusion criteria for this analysis were continuous patient monitoring for at least two years (i.e. latest therapy start in Oct 2010), and the extraction of at least 100 cases per drug analyzed. Drug intake interruptions of less than a month were ignored. RESULTS: At the time of data extraction (Feb 2013), the EuResist database contained data from 61,953 patients of which 11,499 fulfilled the inclusion criteria. We obtained 37,035 drug treatment lines from 38,153 cARTs and the overall average length of drug intake was 18.7 months. For each single drug these average durations measured in months were: 18.3 (3TC); 20.8 (ABC); 12.3 (d4T); 14.3 (ddI); 23.2 (FTC); 23.0 (TDF); 13.4 (ZDV); 19.8 (EFV); 21.9 (ETR); 17.7 (NVP); 19.2 (ATV); 22.7 (DRV); 18.7 (FPV); 17.9 (LPV); 15.2 (SQV); 14.6 (TPV); 22.6 (RAL); 21.9 (MVC) and 8.9 (T20). Overall drug discontinuation rates at one, two and three years were 35.0, 48.8 and 95.8%, respectively. Average discontinuation rates for the different drug classes at two years these were: 46.2% for NRTIs; 49.7% for NNRTIs; 55.4% for PIs and 37.6% for Raltegravir/Maraviroc. CONCLUSIONS: In this cohort the overall frequency of therapy changes is high. After two years of treatment, on average 49% of the patients change at least one drug in their cART. Thus, we have to expect numerous changes in the long term perspective of treatments. The observed differences in durations suggest that newer drugs might have advantages over older ones. However possible reasons and confounding factors (such as number of past treatment lines, co-medication, risk group, etc.) were not addressed at this time of the analysis.
format Online
Article
Text
id pubmed-4225363
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher International AIDS Society
record_format MEDLINE/PubMed
spelling pubmed-42253632014-11-13 Time on drug analysis based on real life data Schülter, Eugen Kaiser, Rolf Zazzi, Maurizio Sönnerborg, Anders Camacho, Ricardo Verheyen, Jens J Int AIDS Soc Poster Sessions – Abstract P258 INTRODUCTION: The health condition of HIV-1 infected patients has improved during the last years, but lifelong antiretroviral treatment is still needed. However resistance, multiple side effects and drug to drug interactions of antiretrovirals challenge the establishment of a long lasting regimen. The average running time of each antiretroviral drug composing the therapy episodes combination antiretroviral therapy (cART) may be seen as an indicator of effectiveness and tolerability. MATERIALS AND METHODS: To evaluate the running time of each drug used in HIV-1 treatment, we extracted therapy episodes from the latest release of the EuResist database (www.euresist.org). The evaluation period was from Oct 2006 to Oct 2012. Inclusion criteria for this analysis were continuous patient monitoring for at least two years (i.e. latest therapy start in Oct 2010), and the extraction of at least 100 cases per drug analyzed. Drug intake interruptions of less than a month were ignored. RESULTS: At the time of data extraction (Feb 2013), the EuResist database contained data from 61,953 patients of which 11,499 fulfilled the inclusion criteria. We obtained 37,035 drug treatment lines from 38,153 cARTs and the overall average length of drug intake was 18.7 months. For each single drug these average durations measured in months were: 18.3 (3TC); 20.8 (ABC); 12.3 (d4T); 14.3 (ddI); 23.2 (FTC); 23.0 (TDF); 13.4 (ZDV); 19.8 (EFV); 21.9 (ETR); 17.7 (NVP); 19.2 (ATV); 22.7 (DRV); 18.7 (FPV); 17.9 (LPV); 15.2 (SQV); 14.6 (TPV); 22.6 (RAL); 21.9 (MVC) and 8.9 (T20). Overall drug discontinuation rates at one, two and three years were 35.0, 48.8 and 95.8%, respectively. Average discontinuation rates for the different drug classes at two years these were: 46.2% for NRTIs; 49.7% for NNRTIs; 55.4% for PIs and 37.6% for Raltegravir/Maraviroc. CONCLUSIONS: In this cohort the overall frequency of therapy changes is high. After two years of treatment, on average 49% of the patients change at least one drug in their cART. Thus, we have to expect numerous changes in the long term perspective of treatments. The observed differences in durations suggest that newer drugs might have advantages over older ones. However possible reasons and confounding factors (such as number of past treatment lines, co-medication, risk group, etc.) were not addressed at this time of the analysis. International AIDS Society 2014-11-02 /pmc/articles/PMC4225363/ /pubmed/25397534 http://dx.doi.org/10.7448/IAS.17.4.19790 Text en © 2014 Schülter E et al; licensee International AIDS Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Sessions – Abstract P258
Schülter, Eugen
Kaiser, Rolf
Zazzi, Maurizio
Sönnerborg, Anders
Camacho, Ricardo
Verheyen, Jens
Time on drug analysis based on real life data
title Time on drug analysis based on real life data
title_full Time on drug analysis based on real life data
title_fullStr Time on drug analysis based on real life data
title_full_unstemmed Time on drug analysis based on real life data
title_short Time on drug analysis based on real life data
title_sort time on drug analysis based on real life data
topic Poster Sessions – Abstract P258
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4225363/
https://www.ncbi.nlm.nih.gov/pubmed/25397534
http://dx.doi.org/10.7448/IAS.17.4.19790
work_keys_str_mv AT schultereugen timeondruganalysisbasedonreallifedata
AT kaiserrolf timeondruganalysisbasedonreallifedata
AT zazzimaurizio timeondruganalysisbasedonreallifedata
AT sonnerborganders timeondruganalysisbasedonreallifedata
AT camachoricardo timeondruganalysisbasedonreallifedata
AT verheyenjens timeondruganalysisbasedonreallifedata