Clinical Predictors of Immune Reconstitution following Combination Antiretroviral Therapy in Patients from the Australian HIV Observational Database
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{"title"=>"Clinical predictors of immune reconstitution following combination antiretroviral therapy in patients from the australian HIV observational database", "type"=>"journal", "authors"=>[{"first_name"=>"Reena", "last_name"=>"Rajasuriar", "scopus_author_id"=>"16234816000"}, {"first_name"=>"Maelenn", "last_name"=>"Gouillou", "scopus_author_id"=>"35434846100"}, {"first_name"=>"Tim", "last_name"=>"Spelman", "scopus_author_id"=>"25623864800"}, {"first_name"=>"Tim", "last_name"=>"Read", "scopus_author_id"=>"7006457925"}, {"first_name"=>"Jennifer", "last_name"=>"Hoy", "scopus_author_id"=>"7004417575"}, {"first_name"=>"Matthew", "last_name"=>"Law", "scopus_author_id"=>"55556254800"}, {"first_name"=>"Paul U.", "last_name"=>"Cameron", "scopus_author_id"=>"7202869851"}, {"first_name"=>"Kathy", "last_name"=>"Petoumenos", "scopus_author_id"=>"6602583593"}, {"first_name"=>"Sharon R.", "last_name"=>"Lewin", "scopus_author_id"=>"15737239300"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-79957943506", "pui"=>"361877856", "doi"=>"10.1371/journal.pone.0020713", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "sgr"=>"79957943506", "pmid"=>"21674057"}, "id"=>"d3f1966e-84ca-3f6d-b819-8d9e82dc062b", "abstract"=>"BACKGROUND: A small but significant number of patients do not achieve CD4 T-cell counts >500 cells/µl despite years of suppressive cART. These patients remain at risk of AIDS and non-AIDS defining illnesses. The aim of this study was to identify clinical factors associated with CD4 T-cell recovery following long-term cART.\\n\\nMETHODS: Patients with the following inclusion criteria were selected from the Australian HIV Observational Database (AHOD): cART as their first regimen initiated at CD4 T-cell count <500 cells/µl, HIV RNA<500 copies/ml after 6 months of cART and sustained for at least 12 months. The Cox proportional hazards model was used to identify determinants associated with time to achieve CD4 T-cell counts >500 cells/µl and >200 cells/µl.\\n\\nRESULTS: 501 patients were eligible for inclusion from AHOD (n = 2853). The median (IQR) age and baseline CD4 T-cell counts were 39 (32-47) years and 236 (130-350) cells/µl, respectively. A major strength of this study is the long follow-up duration, median (IQR) = 6.5(3-10) years. Most patients (80%) achieved CD4 T-cell counts >500 cells/µl, but in 8%, this took >5 years. Among the patients who failed to reach a CD4 T-cell count >500 cells/µl, 16% received cART for >10 years. In a multivariate analysis, faster time to achieve a CD4 T-cell count >500 cells/µl was associated with higher baseline CD4 T-cell counts (p<0.001), younger age (p = 0.019) and treatment initiation with a protease inhibitor (PI)-based regimen (vs. non-nucleoside reverse transcriptase inhibitor, NNRTI; p = 0.043). Factors associated with achieving CD4 T-cell counts >200 cells/µl included higher baseline CD4 T-cell count (p<0.001), not having a prior AIDS-defining illness (p = 0.018) and higher baseline HIV RNA (p<0.001).\\n\\nCONCLUSION: The time taken to achieve a CD4 T-cell count >500 cells/µl despite long-term cART is prolonged in a subset of patients in AHOD. Starting cART early with a PI-based regimen (vs. NNRTI-based regimen) is associated with more rapid recovery of a CD4 T-cell count >500 cells/µl.", "link"=>"http://www.mendeley.com/research/clinical-predictors-immune-reconstitution-following-combination-antiretroviral-therapy-patients-aust", "reader_count"=>24, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>2, "Student > Master"=>3, "Other"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>2, "Student > Master"=>3, "Other"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Medicine and Dentistry"=>18, "Agricultural and Biological Sciences"=>4, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>18}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Netherlands"=>1, "Germany"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/769270"], "description"=>"<p>All parameters are median (IQR) unless otherwise stated.</p><p>cART-combination Antiretroviral therapy; MSM – men who have sex with men; NNRTI – non-nucleoside reverse transcriptase inhibitor; PI – protease inhibitor (boosted and unboosted); NRTI – nucleoside reverse transcriptase inhibitor.</p><p>*Others included injecting drug use, transfusion and unrecorded.</p><p>PIs included Atazanavir (boosted and unboosted) (5%), Lopinavir/Ritonavir (11%), Indinavir (boosted and unboosted) (32%), Nelfinavir (27%), Ritonavir (10%), Saquinavir (boosted and unboosted) (13%), Tipranavir (1%), Fosamprenavir (1%); NNRTIs included Delavirdine (1%), Efavirenz (44%), Nevirapine(55%);</p>", "links"=>[], "tags"=>["characteristics", "patients", "ahod", "met", "inclusion"], "article_id"=>439632, "categories"=>["Infectious Diseases"], "users"=>["Reena Rajasuriar", "Maelenn Gouillou", "Tim Spelman", "Tim Read", "Jennifer Hoy", "Matthew Law", "Paul U. Cameron", "Kathy Petoumenos", "Sharon R. Lewin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020713.t001", "stats"=>{"downloads"=>8, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Demographic_and_clinical_characteristics_of_patients_from_AHOD_who_met_the_inclusion_criteria_for_this_study_/439632", "title"=>"Demographic and clinical characteristics of patients from AHOD who met the inclusion criteria for this study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 17:53:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/769231"], "description"=>"<p>*Reference category.</p><p>**Others included injecting drug use, transfusion and unrecorded.</p>#<p>For every 100-unit increase in square transformed baseline CD4 T-cell counts, the hazard of achieving a CD4 T-cell threshold of &gt;500cells/µl increased by 15%.</p><p>cART-combination Antiretroviral therapy; MSM – men who have sex with men; NNRTI – non-nucleoside reverse transcriptase inhibitor; PI – protease inhibitor (boosted and unboosted) ; NRTI – nucleoside reverse transcriptase inhibitor; ADI – AIDS-defining illness; HBsAg – hepatitis B surface antigen; HCV Ab – hepatitis C antibody.</p>", "links"=>[], "tags"=>["taken", "cd4", "t-cells"], "article_id"=>439594, "categories"=>["Infectious Diseases"], "users"=>["Reena Rajasuriar", "Maelenn Gouillou", "Tim Spelman", "Tim Read", "Jennifer Hoy", "Matthew Law", "Paul U. Cameron", "Kathy Petoumenos", "Sharon R. Lewin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020713.t002", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Predictors_of_time_taken_to_achieve_CD4_T_cells_gt_500_cells_l_n_501_/439594", "title"=>"Predictors of time taken to achieve CD4 T-cells &gt;500 cells/µl (n = 501).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 17:53:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/769189"], "description"=>"<p>*Reference category.</p><p>**Others included injecting drug use, transfusion and unrecorded.</p><p>cART-combination Antiretroviral therapy; MSM – men who have sex with men; NNRTI – non-nucleoside reverse transcriptase inhibitor; PI – protease inhibitor (boosted and unboosted) ; NRTI – nucleoside reverse transcriptase inhibitor; ADI – AIDS-defining illness; HBsAg – hepatitis B surface antigen; HCV Ab – hepatitis C antibody.</p>", "links"=>[], "tags"=>["taken", "cd4", "t-cells"], "article_id"=>439555, "categories"=>["Infectious Diseases"], "users"=>["Reena Rajasuriar", "Maelenn Gouillou", "Tim Spelman", "Tim Read", "Jennifer Hoy", "Matthew Law", "Paul U. Cameron", "Kathy Petoumenos", "Sharon R. Lewin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020713.t003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Predictors_of_time_taken_to_achieve_CD4_T_cells_gt_200_cells_l_n_196_/439555", "title"=>"Predictors of time taken to achieve CD4 T-cells &gt;200 cells/µl (n = 196).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 17:53:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/768955"], "description"=>"<p>Patient disposition.</p>", "links"=>[], "tags"=>["Infectious diseases"], "article_id"=>439318, "categories"=>["Infectious Diseases"], "users"=>["Reena Rajasuriar", "Maelenn Gouillou", "Tim Spelman", "Tim Read", "Jennifer Hoy", "Matthew Law", "Paul U. Cameron", "Kathy Petoumenos", "Sharon R. Lewin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020713.g001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Patient_disposition_/439318", "title"=>"Patient disposition.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:51:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/769119"], "description"=>"<p>Kaplan-Meier plots showing time taken to achieve CD4 counts &gt;500cells/µl among (A) patients in the total cohort (n = 501) and patients with no evidence of virological failure (VF) (2 consecutive HIV RNA&gt;500copies/ml) throughout follow-up (n = 331) and (B) all patients (n = 501) stratified by baseline CD4 T-cell counts (&lt;100cells/µl, n = 99; 101–200cells/µl, n = 107; 201–350cells/µl, n = 172; &gt;350cells/µl, n = 123). Comparisons of survival curves were done using the Log-rank test (STATA 10.0).</p>", "links"=>[], "tags"=>["plots", "taken", "cd4", "t-cell", "counts"], "article_id"=>439479, "categories"=>["Infectious Diseases"], "users"=>["Reena Rajasuriar", "Maelenn Gouillou", "Tim Spelman", "Tim Read", "Jennifer Hoy", "Matthew Law", "Paul U. Cameron", "Kathy Petoumenos", "Sharon R. Lewin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0020713.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Kaplan_Meier_plots_showing_time_taken_to_achieve_CD4_T_cell_counts_gt_500_cells_l_following_cART_initiation_/439479", "title"=>"Kaplan-Meier plots showing time taken to achieve CD4 T-cell counts &gt;500 cells/µl following cART initiation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 17:52:38"}

PMC Usage Stats | Further Information

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Relative Metric

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