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Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands
OBJECTIVE: To explain differences in survival in the first three years of combination anti-retroviral therapy (cART) between HIV treatment centres in the Netherlands. METHODOLOGY/PRINCIPAL FINDINGS: We developed a mathematical simulation model, parameterised using data from the ATHENA cohort that de...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276315/ https://www.ncbi.nlm.nih.gov/pubmed/18398473 http://dx.doi.org/10.1371/journal.pone.0001949 |
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author | Smit, Colette Hallett, Timothy B. Lange, Joep Garnett, Geoff de Wolf, Frank |
author_facet | Smit, Colette Hallett, Timothy B. Lange, Joep Garnett, Geoff de Wolf, Frank |
author_sort | Smit, Colette |
collection | PubMed |
description | OBJECTIVE: To explain differences in survival in the first three years of combination anti-retroviral therapy (cART) between HIV treatment centres in the Netherlands. METHODOLOGY/PRINCIPAL FINDINGS: We developed a mathematical simulation model, parameterised using data from the ATHENA cohort that describes patients entering care, being monitored and starting cART. Three scenarios were used to represent three treatment centres with widely varying mortality rates on cART that were differentiated by: (i) the distribution of CD4 counts of patients entering care; (ii) the age distribution of patients entering care; (iii) the average rate of monitoring the patients not on cART. At the level of the treatment centre, the fraction of Dutch MSM dying in the first three years of treatment ranged from 0% to 8%. The mathematical model captured the large variation in observed mortality between the three treatment centres. Manipulating the age-distribution of patients or the frequency of monitoring did not affect the model predictions. In contrast, when the same national average distribution of CD4 count at entry was used in all the scenarios, the variation in predicted mortality between all centres was diminished. CONCLUSIONS/SIGNIFICANCE: Patients entering care with low CD4 counts appears to be the main source of variation in the mortality rates between Dutch treatment centres. Recruiting HIV-infected individuals to care earlier could lead to substantial improvements in cART outcomes. For example, if patients were to present with at least 400 CD4 cells/mm(3), as they do already in some centres, then our model predicts that the mortality in the first three years of cART could be reduced by approximately 20%. |
format | Text |
id | pubmed-2276315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-22763152008-04-09 Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands Smit, Colette Hallett, Timothy B. Lange, Joep Garnett, Geoff de Wolf, Frank PLoS One Research Article OBJECTIVE: To explain differences in survival in the first three years of combination anti-retroviral therapy (cART) between HIV treatment centres in the Netherlands. METHODOLOGY/PRINCIPAL FINDINGS: We developed a mathematical simulation model, parameterised using data from the ATHENA cohort that describes patients entering care, being monitored and starting cART. Three scenarios were used to represent three treatment centres with widely varying mortality rates on cART that were differentiated by: (i) the distribution of CD4 counts of patients entering care; (ii) the age distribution of patients entering care; (iii) the average rate of monitoring the patients not on cART. At the level of the treatment centre, the fraction of Dutch MSM dying in the first three years of treatment ranged from 0% to 8%. The mathematical model captured the large variation in observed mortality between the three treatment centres. Manipulating the age-distribution of patients or the frequency of monitoring did not affect the model predictions. In contrast, when the same national average distribution of CD4 count at entry was used in all the scenarios, the variation in predicted mortality between all centres was diminished. CONCLUSIONS/SIGNIFICANCE: Patients entering care with low CD4 counts appears to be the main source of variation in the mortality rates between Dutch treatment centres. Recruiting HIV-infected individuals to care earlier could lead to substantial improvements in cART outcomes. For example, if patients were to present with at least 400 CD4 cells/mm(3), as they do already in some centres, then our model predicts that the mortality in the first three years of cART could be reduced by approximately 20%. Public Library of Science 2008-04-09 /pmc/articles/PMC2276315/ /pubmed/18398473 http://dx.doi.org/10.1371/journal.pone.0001949 Text en Smit et al. http://creativecommons.org/licenses/by/4.0/ 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 author and source are properly credited. |
spellingShingle | Research Article Smit, Colette Hallett, Timothy B. Lange, Joep Garnett, Geoff de Wolf, Frank Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands |
title | Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands |
title_full | Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands |
title_fullStr | Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands |
title_full_unstemmed | Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands |
title_short | Late Entry to HIV Care Limits the Impact of Anti-Retroviral Therapy in the Netherlands |
title_sort | late entry to hiv care limits the impact of anti-retroviral therapy in the netherlands |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276315/ https://www.ncbi.nlm.nih.gov/pubmed/18398473 http://dx.doi.org/10.1371/journal.pone.0001949 |
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