Cargando…

Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort

BACKGROUND: Atazanavir (ATV) not boosted by ritonavir (uATV) has been frequently used in the past for switching combination antiretroviral therapy (cART). However, the clinical outcomes and predictors of such strategy are unknown. METHODS: An observational study was carried out on the Italian MASTER...

Descripción completa

Detalles Bibliográficos
Autores principales: Postorino, Maria Concetta, Prosperi, Mattia, Focà, Emanuele, Quiros-Roldan, Eugenia, Di Filippo, Elisa, Maggiolo, Franco, Borghetti, Alberto, Ladisa, Nicoletta, Di Pietro, Massimo, Gori, Andrea, Sighinolfi, Laura, Pan, Angelo, Mazzini, Nicola, Torti, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353877/
https://www.ncbi.nlm.nih.gov/pubmed/28298195
http://dx.doi.org/10.1186/s12879-017-2322-z
_version_ 1782515220406599680
author Postorino, Maria Concetta
Prosperi, Mattia
Focà, Emanuele
Quiros-Roldan, Eugenia
Di Filippo, Elisa
Maggiolo, Franco
Borghetti, Alberto
Ladisa, Nicoletta
Di Pietro, Massimo
Gori, Andrea
Sighinolfi, Laura
Pan, Angelo
Mazzini, Nicola
Torti, Carlo
author_facet Postorino, Maria Concetta
Prosperi, Mattia
Focà, Emanuele
Quiros-Roldan, Eugenia
Di Filippo, Elisa
Maggiolo, Franco
Borghetti, Alberto
Ladisa, Nicoletta
Di Pietro, Massimo
Gori, Andrea
Sighinolfi, Laura
Pan, Angelo
Mazzini, Nicola
Torti, Carlo
author_sort Postorino, Maria Concetta
collection PubMed
description BACKGROUND: Atazanavir (ATV) not boosted by ritonavir (uATV) has been frequently used in the past for switching combination antiretroviral therapy (cART). However, the clinical outcomes and predictors of such strategy are unknown. METHODS: An observational study was carried out on the Italian MASTER, selecting HIV infected patients on cART switching to an uATV-containing regimen. Baseline was set as the last visit before uATV initiation. In the primary analysis, a composite clinical end-point was defined as the first occurring of any condition among: liver, cardiovascular, kidney, diabetes, non AIDS related cancer or death events. Incidence of AIDS events and incidence of composite clinical end-point were estimated. Kaplan-Meier and multivariable Cox regression analysis were used to assess predictors of the composite clinical end-point. RESULTS: 436 patients were observed. The majority of patients were males (61.5%) and Italians (85.3%), mean age was 42.7 years (IQR: 37.7–42), the most frequent route of transmission was heterosexual intercourse (47%), followed by injection drug use (25%) and homosexual contact (24%); the rate of HCV-Ab positivity was 16.3%. Patients were observed for a median time of 882 days (IQR: 252-1,769) under uATV. We recorded 93 clinical events (3 cardiovascular events, 20 kidney diseases, 33 liver diseases, 9 non AIDS related cancers, 21 diabetes, 7 AIDS events), and 19 deaths, accounting for an incidence of 3.7 (composite) events per 100 PYFU. At multivariable analysis, factors associated with the composite clinical end-point were intravenous drug use as risk factor for HIV acquisition vs. heterosexual intercourses [HR: 2.608, 95% CI 1.31–5.19, p = 0.0063], HIV RNA per Log(10) copies/ml higher [HR: 1.612, 95% CI 1.278–2.034, p < 0.0001], number of switches in the nucleoside/nucleotide (NRTI) backbone of cART (performed to compose the uATV regimen under study or occurred in the past) per each more [HR: 1.085, 95% CI 1.025–1.15, p = 0.0051], Fib-4 score per unit higher [HR: 1.03, 95% CI 1.018–1.043, p < 0.0001] and Neutrophil/lymphocytes ratio (NLR inflammation score) per Log(10) higher [HR: 1.319, 95% CI 1.047–1.662, p = 0.0188]. CONCLUSIONS: Intravenous drug users with high HIV RNA, high Fib-4 levels and more heavily exposed to antiretroviral drugs appeared to be more at risk of clinical events. Interestingly, high levels of inflammation measured through NLR, were also associated with clinical events. So, these patients should be monitored more strictly.
format Online
Article
Text
id pubmed-5353877
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53538772017-03-22 Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort Postorino, Maria Concetta Prosperi, Mattia Focà, Emanuele Quiros-Roldan, Eugenia Di Filippo, Elisa Maggiolo, Franco Borghetti, Alberto Ladisa, Nicoletta Di Pietro, Massimo Gori, Andrea Sighinolfi, Laura Pan, Angelo Mazzini, Nicola Torti, Carlo BMC Infect Dis Research Article BACKGROUND: Atazanavir (ATV) not boosted by ritonavir (uATV) has been frequently used in the past for switching combination antiretroviral therapy (cART). However, the clinical outcomes and predictors of such strategy are unknown. METHODS: An observational study was carried out on the Italian MASTER, selecting HIV infected patients on cART switching to an uATV-containing regimen. Baseline was set as the last visit before uATV initiation. In the primary analysis, a composite clinical end-point was defined as the first occurring of any condition among: liver, cardiovascular, kidney, diabetes, non AIDS related cancer or death events. Incidence of AIDS events and incidence of composite clinical end-point were estimated. Kaplan-Meier and multivariable Cox regression analysis were used to assess predictors of the composite clinical end-point. RESULTS: 436 patients were observed. The majority of patients were males (61.5%) and Italians (85.3%), mean age was 42.7 years (IQR: 37.7–42), the most frequent route of transmission was heterosexual intercourse (47%), followed by injection drug use (25%) and homosexual contact (24%); the rate of HCV-Ab positivity was 16.3%. Patients were observed for a median time of 882 days (IQR: 252-1,769) under uATV. We recorded 93 clinical events (3 cardiovascular events, 20 kidney diseases, 33 liver diseases, 9 non AIDS related cancers, 21 diabetes, 7 AIDS events), and 19 deaths, accounting for an incidence of 3.7 (composite) events per 100 PYFU. At multivariable analysis, factors associated with the composite clinical end-point were intravenous drug use as risk factor for HIV acquisition vs. heterosexual intercourses [HR: 2.608, 95% CI 1.31–5.19, p = 0.0063], HIV RNA per Log(10) copies/ml higher [HR: 1.612, 95% CI 1.278–2.034, p < 0.0001], number of switches in the nucleoside/nucleotide (NRTI) backbone of cART (performed to compose the uATV regimen under study or occurred in the past) per each more [HR: 1.085, 95% CI 1.025–1.15, p = 0.0051], Fib-4 score per unit higher [HR: 1.03, 95% CI 1.018–1.043, p < 0.0001] and Neutrophil/lymphocytes ratio (NLR inflammation score) per Log(10) higher [HR: 1.319, 95% CI 1.047–1.662, p = 0.0188]. CONCLUSIONS: Intravenous drug users with high HIV RNA, high Fib-4 levels and more heavily exposed to antiretroviral drugs appeared to be more at risk of clinical events. Interestingly, high levels of inflammation measured through NLR, were also associated with clinical events. So, these patients should be monitored more strictly. BioMed Central 2017-03-15 /pmc/articles/PMC5353877/ /pubmed/28298195 http://dx.doi.org/10.1186/s12879-017-2322-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Postorino, Maria Concetta
Prosperi, Mattia
Focà, Emanuele
Quiros-Roldan, Eugenia
Di Filippo, Elisa
Maggiolo, Franco
Borghetti, Alberto
Ladisa, Nicoletta
Di Pietro, Massimo
Gori, Andrea
Sighinolfi, Laura
Pan, Angelo
Mazzini, Nicola
Torti, Carlo
Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort
title Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort
title_full Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort
title_fullStr Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort
title_full_unstemmed Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort
title_short Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort
title_sort role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the italian master cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353877/
https://www.ncbi.nlm.nih.gov/pubmed/28298195
http://dx.doi.org/10.1186/s12879-017-2322-z
work_keys_str_mv AT postorinomariaconcetta roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT prosperimattia roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT focaemanuele roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT quirosroldaneugenia roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT difilippoelisa roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT maggiolofranco roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT borghettialberto roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT ladisanicoletta roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT dipietromassimo roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT goriandrea roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT sighinolfilaura roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT panangelo roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT mazzininicola roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort
AT torticarlo roleofsystemicinflammationscoresforpredictionofclinicaloutcomesinpatientstreatedwithatazanavirnotboostedbyritonavirintheitalianmastercohort