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Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach

OBJETIVES: Outcomes of people living with HIV (PLWH) developing non-AIDS events (NAEs) remain poorly defined. We aimed to classify NAEs according to severity, and to describe clinical outcomes and prognostic factors after NAE occurrence using data from CoRIS, a large Spanish HIV cohort from 2004 to...

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Autores principales: Masiá, Mar, Padilla, Sergio, Moreno, Santiago, Barber, Xavier, Iribarren, Jose A., del Romero, Jorge, Gómez-Sirvent, Juan L., Rivero, María, Vidal, Francesc, Campins, Antonio A., Gutiérrez, Félix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590896/
https://www.ncbi.nlm.nih.gov/pubmed/28886092
http://dx.doi.org/10.1371/journal.pone.0184329
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author Masiá, Mar
Padilla, Sergio
Moreno, Santiago
Barber, Xavier
Iribarren, Jose A.
del Romero, Jorge
Gómez-Sirvent, Juan L.
Rivero, María
Vidal, Francesc
Campins, Antonio A.
Gutiérrez, Félix
author_facet Masiá, Mar
Padilla, Sergio
Moreno, Santiago
Barber, Xavier
Iribarren, Jose A.
del Romero, Jorge
Gómez-Sirvent, Juan L.
Rivero, María
Vidal, Francesc
Campins, Antonio A.
Gutiérrez, Félix
author_sort Masiá, Mar
collection PubMed
description OBJETIVES: Outcomes of people living with HIV (PLWH) developing non-AIDS events (NAEs) remain poorly defined. We aimed to classify NAEs according to severity, and to describe clinical outcomes and prognostic factors after NAE occurrence using data from CoRIS, a large Spanish HIV cohort from 2004 to 2013. DESIGN: Prospective multicenter cohort study. METHODS: Using a multistate approach we estimated 3 transition probabilities: from alive and NAE-free to alive and NAE-experienced (“NAE development”); from alive and NAE-experienced to death (“Death after NAE”); and from alive and NAE-free to death (“Death without NAE”). We analyzed the effect of different covariates, including demographic, immunologic and virologic data, on death or NAE development, based on estimates of hazard ratios (HR). We focused on the transition “Death after NAE”. RESULTS: 8,789 PLWH were followed-up until death, cohort censoring or loss to follow-up. 792 first incident NAEs occurred in 9.01% PLWH (incidence rate 28.76; 95% confidence interval [CI], 26.80–30.84, per 1000 patient-years). 112 (14.14%) NAE-experienced PLWH and 240 (2.73%) NAE-free PLWH died. Adjusted HR for the transition “Death after NAE” was 12.1 (95%CI, 4.90–29.89). There was a graded increase in the adjusted HRs for mortality according to NAE severity category: HR (95%CI), 4.02 (2.45–6.57) for intermediate-severity; and 9.85 (5.45–17.81) for serious NAEs compared to low-severity NAEs. Male sex (HR 2.04; 95% CI, 1.11–3.84), age>50 years (1.78, 1.08–2.94), hepatitis C-coinfection (2.52, 1.38–4.61), lower CD4 cell count at cohort entry (HR 2.49; 95%CI 1.20–5.14 for CD4 cell count below 200 and HR 2.16; 95%CI 1.01–4.66 for CD4 cell count between 200–350, both compared to CD4 cell count higher than 500) and concomitant CD4<200 cells/mL (2.22, 1.42–3.44) were associated with death after NAE. CD4 count and HIV-1 RNA at engagement, previous AIDS and hepatitis C-coinfection predicted mortality in NAE-free persons. CONCLUSION: NAEs, including low-severity events, increase prominently the risk for mortality in PLWH. Prognostic factors differ between NAE-experienced and NAE-free persons. These findings should be taken into account in the clinical management of PLWH developing NAEs and may permit more targeted prevention efforts.
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spelling pubmed-55908962017-09-15 Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach Masiá, Mar Padilla, Sergio Moreno, Santiago Barber, Xavier Iribarren, Jose A. del Romero, Jorge Gómez-Sirvent, Juan L. Rivero, María Vidal, Francesc Campins, Antonio A. Gutiérrez, Félix PLoS One Research Article OBJETIVES: Outcomes of people living with HIV (PLWH) developing non-AIDS events (NAEs) remain poorly defined. We aimed to classify NAEs according to severity, and to describe clinical outcomes and prognostic factors after NAE occurrence using data from CoRIS, a large Spanish HIV cohort from 2004 to 2013. DESIGN: Prospective multicenter cohort study. METHODS: Using a multistate approach we estimated 3 transition probabilities: from alive and NAE-free to alive and NAE-experienced (“NAE development”); from alive and NAE-experienced to death (“Death after NAE”); and from alive and NAE-free to death (“Death without NAE”). We analyzed the effect of different covariates, including demographic, immunologic and virologic data, on death or NAE development, based on estimates of hazard ratios (HR). We focused on the transition “Death after NAE”. RESULTS: 8,789 PLWH were followed-up until death, cohort censoring or loss to follow-up. 792 first incident NAEs occurred in 9.01% PLWH (incidence rate 28.76; 95% confidence interval [CI], 26.80–30.84, per 1000 patient-years). 112 (14.14%) NAE-experienced PLWH and 240 (2.73%) NAE-free PLWH died. Adjusted HR for the transition “Death after NAE” was 12.1 (95%CI, 4.90–29.89). There was a graded increase in the adjusted HRs for mortality according to NAE severity category: HR (95%CI), 4.02 (2.45–6.57) for intermediate-severity; and 9.85 (5.45–17.81) for serious NAEs compared to low-severity NAEs. Male sex (HR 2.04; 95% CI, 1.11–3.84), age>50 years (1.78, 1.08–2.94), hepatitis C-coinfection (2.52, 1.38–4.61), lower CD4 cell count at cohort entry (HR 2.49; 95%CI 1.20–5.14 for CD4 cell count below 200 and HR 2.16; 95%CI 1.01–4.66 for CD4 cell count between 200–350, both compared to CD4 cell count higher than 500) and concomitant CD4<200 cells/mL (2.22, 1.42–3.44) were associated with death after NAE. CD4 count and HIV-1 RNA at engagement, previous AIDS and hepatitis C-coinfection predicted mortality in NAE-free persons. CONCLUSION: NAEs, including low-severity events, increase prominently the risk for mortality in PLWH. Prognostic factors differ between NAE-experienced and NAE-free persons. These findings should be taken into account in the clinical management of PLWH developing NAEs and may permit more targeted prevention efforts. Public Library of Science 2017-09-08 /pmc/articles/PMC5590896/ /pubmed/28886092 http://dx.doi.org/10.1371/journal.pone.0184329 Text en © 2017 Masiá 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Masiá, Mar
Padilla, Sergio
Moreno, Santiago
Barber, Xavier
Iribarren, Jose A.
del Romero, Jorge
Gómez-Sirvent, Juan L.
Rivero, María
Vidal, Francesc
Campins, Antonio A.
Gutiérrez, Félix
Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach
title Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach
title_full Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach
title_fullStr Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach
title_full_unstemmed Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach
title_short Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach
title_sort prediction of long-term outcomes of hiv-infected patients developing non-aids events using a multistate approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590896/
https://www.ncbi.nlm.nih.gov/pubmed/28886092
http://dx.doi.org/10.1371/journal.pone.0184329
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