Literature DB >> 9583607

The AIDS incubation period in the UK estimated from a national register of HIV seroconverters. UK Register of HIV Seroconverters Steering Committee.

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Abstract

OBJECTIVES: To monitor changes in the distribution of time intervals from HIV seroconversion to the onset of AIDS and to death and to describe factors associated with the length of these intervals, through a national register of persons with estimated dates of HIV seroconversion. DESIGN AND METHODS: Clinicians caring for HIV-positive individuals and laboratories performing HIV testing throughout the UK were asked to identify all persons aged 16 years or over with a history of a negative HIV antibody test within 3 years of their first positive test, including those who had died, transferred to other centres or who had become lost to follow-up. Baseline and follow-up information collected annually includes: sex, ethnic group, likely route for HIV transmission, latest CD4 count, details of antiretroviral therapy and prophylaxis for opportunistic infections, AIDS-defining events and vital status.
RESULTS: The analysis in this report was censored at 31 December 1994 and includes 961 individuals with verified previous negative antibody tests. Within 10 years of seroconversion, we estimate the probability of progressing to AIDS to be 60.2% [95% confidence intervals (CI), 52.1-68.3] and of death from any cause to be 48.1% (95% CI, 40.1-56.1%). Older age at seroconversion was found to be associated with faster progression to AIDS (P=0.008) as well as shorter survival (P=0.001). No evidence of a change in the incubation period nor of a survival benefit was observed by calendar time from 1983 to 1994.
CONCLUSIONS: Preliminary results from the UK Register confirm the strong influence of age on disease progression in line with findings from a number of studies. The Register has succeeded in accruing information on a large number of seroconverters, and will continue to monitor the clinical course of HIV disease, including persons infected in the 1990s. This is important as a number of clinical trials have recently reported an improvement in survival for persons on multiple drug regimens, the long-term impact of which can only be monitored through observational studies.

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Year:  1998        PMID: 9583607

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  10 in total

1.  Combined Env- and Gag-specific T cell responses in relation to programmed death-1 receptor and CD4 T cell loss rates in human immunodeficiency virus-1 infection.

Authors:  F O Pettersen; K Taskén; D Kvale
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2.  Analysis of prevalence of HIV-1 drug resistance in primary infections in the United Kingdom.

Authors: 
Journal:  BMJ       Date:  2001-05-05

3.  Diagnosis delays in the UK according to pre or postmigration acquisition of HIV.

Authors:  Oliver Stirrup; Anna Tostevin; Manon Ragonnet-Cronin; Erik Volz; Fiona Burns; Valerie Delpech; David Dunn
Journal:  AIDS       Date:  2022-03-01       Impact factor: 4.632

4.  Mixture models for calibrating the BED for HIV incidence testing.

Authors:  Severin Guy Mahiane; Agnès Fiamma; Bertran Auvert
Journal:  Stat Med       Date:  2014-05-10       Impact factor: 2.373

5.  The relationship of reported HIV risk and history of HIV testing among emergency department patients.

Authors:  Roland C Merchant; Sarah M Freelove; Thomas J Langan; Melissa A Clark; Kenneth H Mayer; George R Seage; Victor G DeGruttola
Journal:  Postgrad Med       Date:  2010-01       Impact factor: 3.840

6.  Effect of misclassification of antiretroviral treatment status on the prevalence of transmitted HIV-1 drug resistance.

Authors:  Hannah Castro; Deenan Pillay; Caroline Sabin; David T Dunn
Journal:  BMC Med Res Methodol       Date:  2012-03-14       Impact factor: 4.615

7.  Time trends in primary resistance to HIV drugs in the United Kingdom: multicentre observational study.

Authors:  Patricia Cane; Ian Chrystie; David Dunn; Barry Evans; Anna Maria Geretti; Hannah Green; Andrew Phillips; Deenan Pillay; Kholoud Porter; Anton Pozniak; Caroline Sabin; Erasmus Smit; Jonathan Weber; Mark Zuckerman
Journal:  BMJ       Date:  2005-11-18

8.  Injecting drug use is associated with a more rapid CD4 cell decline among treatment naïve HIV-positive patients in Indonesia.

Authors:  Hinta Meijerink; Rudi Wisaksana; Shelly Iskandar; Martin den Heijer; Andre J A M van der Ven; Bachti Alisjahbana; Reinout van Crevel
Journal:  J Int AIDS Soc       Date:  2014-01-03       Impact factor: 5.396

9.  Combined models for pre- and post-treatment longitudinal biomarker data: an application to CD4 counts in HIV-patients.

Authors:  Oliver T Stirrup; Abdel G Babiker; Andrew J Copas
Journal:  BMC Med Res Methodol       Date:  2016-09-15       Impact factor: 4.615

10.  Estimation of delay to diagnosis and incidence in HIV using indirect evidence of infection dates.

Authors:  Oliver T Stirrup; David T Dunn
Journal:  BMC Med Res Methodol       Date:  2018-06-27       Impact factor: 4.615

  10 in total

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