Evidence map›Paper›PMID 26241854›Full record

ArticlePloS one2015

Survival and HLA-B*57 in HIV/HCV Co-Infected Patients on Highly Active Antiretroviral Therapy (HAART).

Leona Dold, Golo Ahlenstiel, Eva Althausen, Carolin Luda, Carolynne Schwarze-Zander, Christoph Boesecke, Jan-Christian Wasmuth, Jürgen Kurt Rockstroh, Ulrich Spengler

Abstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Frequency and Duration of Incarceration and Mortality Among US Veterans With and Without HIV.Journal of acquired immune deficiency syndromes (1999) · 2020
    Article
  7. Frontiers in pharmacology · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Leona DoldDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.
Golo AhlenstielWestmead Clinical School, University of Sydney, Sydney, Australia.
Eva AlthausenDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.
Carolin LudaDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.
Carolynne Schwarze-ZanderDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.
Christoph BoeseckeDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.
Jan-Christian WasmuthDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.
Jürgen Kurt RockstrohDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.
Ulrich SpenglerDepartment of Internal Medicine 1, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany; German Centre of Infection Research (DZIF), partner site Cologne-Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsHLA class I alleles, in particular HLA-B*57, constitute the most consistent host factor determining outcomes in untreated HCV- and HIV-infection. In this prospective cohort study, we analysed the impact of HLA class I alleles on all-cause mortality in patients with HIV-, HCV- and HIV/HCV- co-infection receiving HAART.

methodsIn 2003 HLA-A and B alleles were determined and patients were prospectively followed in 3-month intervals until 2013 or death. HLA-A and B alleles were determined by strand-specific oligonucleotide hybridisation and PCR in 468 Caucasian patients with HCV- (n=120), HIV- (n=186) and HIV/HCV-infection (n=162). All patients with HIV-infection were on HAART. In each patient group, HLA class I-associated survival was analysed by Kaplan-Meier method and Cox regression analysis.

resultsAt recruitment the proportion of patients carrying a HLA-B*57 allele differed between HIV- (12.9%) and HCV-infection (4.2%). Kaplan Meier analysis revealed significantly increased mortality in HLA-B*57-positive patients with HIV-infection (p=0.032) and HIV/HCV-co-infection (p=0.004), which was apparently linked to non-viral infections. Cox logistic regression analysis confirmed HLA-B*57 (p=0.001), serum gamma-glutamyltranspeptidase (p=0.003), serum bilirubin (p=0.022) and CD4 counts (p=0.041) as independent predictors of death in HIV-infected patients.

conclusionDifferences in the prevalence of HLA-B*57 at study entry between HIV- and HCV- infected patients may reflect immune selection in the absence of antiviral therapy. When patients were treated with HAART, however, HLA-B*57 was associated with increased mortality and risk to die from bacterial infections and sepsis, suggesting an ambiguous role of HLA-B*57 for survival in HIV/HCV infection depending on the circumstances.

Indexed as

Antiretroviral Therapy, Highly ActiveAdolescentAdultAgedAged, 80 and overAllelesAnti-HIV AgentsCD4 Lymphocyte CountCoinfectionDisease ProgressionFollow-Up Studiesgamma-GlutamyltransferaseGene FrequencyGenes, MHC Class IGenes, MHC Class IIGenotypeAnti-HIV Agentsgamma-GlutamyltransferaseHLA-A AntigensHLA-B57 antigenHLA-B Antigens

Identifiers

PMID26241854
PMCPMC4524598

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.