• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Theses
  • Research Data
  • Projects
  • Organizations
  • Researchers
  • More
  • Collections
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. Predicting the evolution of Kaposi sarcoma, in the highly active antiretroviral therapy era

Predicting the evolution of Kaposi sarcoma, in the highly active antiretroviral therapy era

Details
PubMed ID
18520345
Abstract
BACKGROUND: The outcome of Kaposi sarcoma varies. While many patients do well on highly active antiretroviral therapy, others have progressive disease and need chemotherapy. In order to predict which patients are at risk of unfavorable evolution, we established a prognostic score. METHOD: The survival analysis (Kaplan-Meier method; Cox proportional hazards models) of 144 patients with Kaposi sarcoma prospectively included in the Swiss HIV Cohort Study, from January 1996 to December 2004, was conducted. OUTCOME ANALYZED: use of chemotherapy or death. VARIABLES ANALYZED: demographics, tumor staging [T0 or T1 (16)], CD4 cell counts and HIV-1 RNA concentration, human herpesvirus 8 (HHV8) DNA in plasma and serological titers to latent and lytic antigens. RESULTS: Of 144 patients, 54 needed chemotherapy or died. In the univariate analysis, tumor stage T1, CD4 cell count below 200 cells/microl, positive HHV8 DNA and absence of antibodies against the HHV8 lytic antigen at the time of diagnosis were significantly associated with a bad outcome.Using multivariate analysis, the following variables were associated with an increased risk of unfavorable outcome: T1 [hazard ratio (HR) 5.22; 95% confidence interval (CI) 2.97-9.18], CD4 cell count below 200 cells/microl (HR 2.33; 95% CI 1.22-4.45) and positive HHV8 DNA (HR 2.14; 95% CI 1.79-2.85).We created a score with these variables ranging from 0 to 4: T1 stage counted for two points, CD4 cell count below 200 cells/microl for one point, and positive HHV8 viral load for one point. Each point increase was associated with a HR of 2.26 (95% CI 1.79-2.85). CONCLUSION: In the multivariate analysis, staging (T1), CD4 cell count (<200 cells/microl), positive HHV8 DNA in plasma, at the time of diagnosis, predict evolution towards death or the need of chemotherapy.
Date Issued
2008
Publication Type
Article
Language(s)
en
Author(s)
El Amari, Emmanuelle Boffi
Toutous-Trellu, Laurence
Gayet-Ageron, Angèle
Baumann, Michele
Cathomas, Gieri
Steffen, Ingrid
Erb, Peter
Mueller, Nicolas J
Furrer, Hansjakob  orcid-logo
Universitätsklinik für Infektiologie  
Cavassini, Matthias
Vernazza, Pietro
Hirsch, Hans H
Bernasconi, Enos
Hirschel, Bernard
Additional Credits
Universitätsklinik für Infektiologie  
Journal
AIDS
Publisher
Lippincott Williams & Wilkins
ISSN
0269-9370
ISBN
18520345
Access(Rights)
metadata.only
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: 24f0a9 [ 4.09. 8:55]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
  • Events
More
  • About BORIS Portal
  • BORIS Portal & Open Science
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo
Repository logo COAR Notify