CD4 rate of increase is preferred to CD4 threshold for predicting outcomes among virologically suppressed HIV-infected adults on antiretroviral therapy.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2020
2020
Historique:
received:
26
05
2019
accepted:
12
12
2019
entrez:
7
1
2020
pubmed:
7
1
2020
medline:
9
4
2020
Statut:
epublish
Résumé
Immune non-responders (INR) have poor CD4 recovery and are associated with increased risk of serious events despite antiretroviral therapy (ART). A clinically relevant definition for INR is lacking. We conducted a retrospective analysis of three large cohorts: Infectious Disease Clinic at the Atlanta Veterans Affairs Medical Center, the US Military HIV Natural History Study and Infectious Disease Program of the Grady Health System in Atlanta, Georgia. Two-stage modeling and joint model (JM) approaches were used to evaluate the association between CD4 (or CD4/CD8 ratio) slope within two years since ART initiation and a composite endpoint (AIDS, serious non-AIDS events and death) after two years of ART. We compared the predictive capacity of four CD4 count metrics (estimated CD4 slope, estimated CD4/CD8 ratio slope during two years following ART initiation and CD4 at 1 and 2 years following ART initiation) using Cox regression models. We included 2,422 patients. Mean CD4 slope (±standard error) during two years of ART was 102 ± 2 cells/μl/year (95% confidence interval: 98-106 cells/μl/year), this increase was uniform among the three cohorts (p = 0.80). There were 267 composite events after two years on ART. Using the JM approach, a CD4 slope ≥100 cells/μL/year or CD4/CD8 ratio slope >0.1 higher rate per year were associated with lower composite endpoint rates (adjusted hazard ratio [HR] = 0.80, p = 0.04 and HR = 0.75 p<0.01, respectively). All four CD4 metrics showed modest predictive capacity. Using a complex JM approach, CD4 slope and CD4/CD8 ratio slope the first two years after ART initiation were associated with lower rates of the composite outcome. Moreover, the uniformity observed in the mean CD4 slope regardless of the cohort suggests a common CD4 response pattern independent of age or CD4 nadir. Given the consistency observed with CD4 slope, availability and ease of interpretation, this study provides strong rationale for using CD4 gains <100 cells/μl/year to identify patients at risk for adverse events.
Identifiants
pubmed: 31905222
doi: 10.1371/journal.pone.0227124
pii: PONE-D-19-14922
pmc: PMC6944336
doi:
Substances chimiques
Anti-HIV Agents
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0227124Subventions
Organisme : NIAID NIH HHS
ID : P30 AI050409
Pays : United States
Organisme : NIH HHS
ID : P51 OD011132
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI110334
Pays : United States
Organisme : NIAID NIH HHS
ID : Y01 AI005072
Pays : United States
Déclaration de conflit d'intérêts
The authors of this study have read the journal's policy and the authors of this manuscript have the following competing interests: VCM has been the recipient of consulting honoraria from Lilly, ViiV, Gilead and Bayer. TD is a paid employee of Amgen. There are no patents, products in development or marketed products associated with this research to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Références
BMJ. 2006 May 6;332(7549):1080
pubmed: 16675816
HIV Med. 2010 Feb;11(2):152-60
pubmed: 19732175
Curr Opin HIV AIDS. 2014 Jan;9(1):63-71
pubmed: 24275674
PLoS One. 2016 Jun 10;11(6):e0156099
pubmed: 27284683
Lancet HIV. 2015 Mar;2(3):e98-106
pubmed: 26424550
Int J Epidemiol. 2017 Oct 1;46(5):1727
pubmed: 29025043
Ann Intern Med. 2000 Sep 19;133(6):401-10
pubmed: 10975957
Clin Infect Dis. 2009 Mar 15;48(6):787-94
pubmed: 19193107
AIDS. 2012 Feb 20;26(4):465-74
pubmed: 22112603
AIDS. 2013 Mar 27;27(6):973-9
pubmed: 23698063
Biometrics. 2011 Sep;67(3):819-29
pubmed: 21306352
J Acquir Immune Defic Syndr. 2008 Apr 15;47(5):553-8
pubmed: 18285713
J Int AIDS Soc. 2015 Jun 29;18:20052
pubmed: 26130226
Clin Dev Immunol. 2012;2012:670957
pubmed: 22474480
J Stat Softw. 2016 Jul;71(3):null
pubmed: 27616941
Clin Infect Dis. 2005 Aug 1;41(3):361-72
pubmed: 16007534
Clin Infect Dis. 2013 May;56(9):1344-6
pubmed: 23315314
N Engl J Med. 1998 Mar 26;338(13):853-60
pubmed: 9516219
J Acquir Immune Defic Syndr. 2007 Sep 1;46(1):72-7
pubmed: 17621240
Arch Intern Med. 2003 Oct 13;163(18):2187-95
pubmed: 14557216
J Infect Dis. 2001 Apr 15;183(8):1290-4
pubmed: 11262215
J Int AIDS Soc. 2014 Mar 03;17:18651
pubmed: 24594114
J Infect Dis. 2011 Oct 15;204(8):1217-26
pubmed: 21917895
Biometrics. 2002 Dec;58(4):742-53
pubmed: 12495128
Biometrics. 1997 Mar;53(1):330-9
pubmed: 9147598
Clin Infect Dis. 2016 Mar 1;62(5):648-654
pubmed: 26567263
PLoS One. 2013 May 01;8(5):e62273
pubmed: 23658717
Annu Rev Med. 2011;62:141-55
pubmed: 21090961
Stat Methods Med Res. 2016 Dec;25(6):2472-2487
pubmed: 24671658
AIDS Res Ther. 2010 May 27;7:14
pubmed: 20507622
Expert Rev Anti Infect Ther. 2016;14(1):29-40
pubmed: 26513236
J Med Virol. 2005 Jun;76(2):153-60
pubmed: 15834865
Clin Infect Dis. 2014 May;58(9):1312-21
pubmed: 24457342
AIDS. 2016 Mar 27;30(6):899-908
pubmed: 26959354
PLoS One. 2006 Dec 20;1:e89
pubmed: 17183720
Stat Med. 2006 Jan 15;25(1):127-41
pubmed: 16217841
Antiviral Res. 2015 May;117:69-74
pubmed: 25766861