• English
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Log In
  • Communities & Collections
  • Browse OpenUCT
  • English
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Log In
  1. Home
  2. Browse by Author

Browsing by Author "Weigel, Ralf"

Now showing 1 - 3 of 3
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Open Access
    Adjusting mortality for loss to follow-up: analysis of five ART programmes in sub-Saharan Africa
    (Public Library of Science, 2010) Brinkhof, Martin W G; Spycher, Ben D; Yiannoutsos, Constantin; Weigel, Ralf; Wood, Robin; Messou, Eugène; Boulle, Andrew; Egger, Matthias; Sterne, Jonathan A C; (IeDEA), for the International epidemiological Database to Evaluate AIDS
    BACKGROUND: Evaluation of antiretroviral treatment (ART) programmes in sub-Saharan Africa is difficult because many patients are lost to follow-up. Outcomes in these patients are generally unknown but studies tracing patients have shown mortality to be high. We adjusted programme-level mortality in the first year of antiretroviral treatment (ART) for excess mortality in patients lost to follow-up. Methods and FINDINGS: Treatment-naïve patients starting combination ART in five programmes in Côte d'Ivoire, Kenya, Malawi and South Africa were eligible. Patients whose last visit was at least nine months before the closure of the database were considered lost to follow-up. We filled missing survival times in these patients by multiple imputation, using estimates of mortality from studies that traced patients lost to follow-up. Data were analyzed using Weibull models, adjusting for age, sex, ART regimen, CD4 cell count, clinical stage and treatment programme. A total of 15,915 HIV-infected patients (median CD4 cell count 110 cells/µL, median age 35 years, 68% female) were included; 1,001 (6.3%) were known to have died and 1,285 (14.3%) were lost to follow-up in the first year of ART. Crude estimates of mortality at one year ranged from 5.7% (95% CI 4.9-6.5%) to 10.9% (9.6-12.4%) across the five programmes. Estimated mortality hazard ratios comparing patients lost to follow-up with those remaining in care ranged from 6 to 23. Adjusted estimates based on these hazard ratios ranged from 10.2% (8.9-11.6%) to 16.9% (15.0-19.1%), with relative increases in mortality ranging from 27% to 73% across programmes. CONCLUSIONS: Naïve survival analysis ignoring excess mortality in patients lost to follow-up may greatly underestimate overall mortality, and bias ART programme evaluations. Adjusted mortality estimates can be obtained based on excess mortality rates in patients lost to follow-up.
  • Loading...
    Thumbnail Image
    Item
    Open Access
    Correcting mortality for loss to follow-up: a nomogram applied to antiretroviral treatment programmes in sub-Saharan Africa
    (Public Library of Science, 2011) Egger, Matthias; Spycher, Ben D; Sidle, John; Weigel, Ralf; Geng, Elvin H; Fox, Matthew P; MacPhail, Patrick; van Cutsem, Gilles; Messou, Eugène; Wood, Robin
    Background: The World Health Organization estimates that in sub-Saharan Africa about 4 million HIV-infected patients had started antiretroviral therapy (ART) by the end of 2008. Loss of patients to follow-up and care is an important problem for treatment programmes in this region. As mortality is high in these patients compared to patients remaining in care, ART programmes with high rates of loss to follow-up may substantially underestimate mortality of all patients starting ART. Methods and Findings: We developed a nomogram to correct mortality estimates for loss to follow-up, based on the fact that mortality of all patients starting ART in a treatment programme is a weighted average of mortality among patients lost to follow-up and patients remaining in care. The nomogram gives a correction factor based on the percentage of patients lost to follow-up at a given point in time, and the estimated ratio of mortality between patients lost and not lost to follow-up. The mortality observed among patients retained in care is then multiplied by the correction factor to obtain an estimate of programme-level mortality that takes all deaths into account. A web calculator directly calculates the corrected, programme-level mortality with 95% confidence intervals (CIs). We applied the method to 11 ART programmes in sub-Saharan Africa. Patients retained in care had a mortality at 1 year of 1.4% to 12.0%; loss to follow-up ranged from 2.8% to 28.7%; and the correction factor from 1.2 to 8.0. The absolute difference between uncorrected and corrected mortality at 1 year ranged from 1.6% to 9.8%, and was above 5% in four programmes. The largest difference in mortality was in a programme with 28.7% of patients lost to follow-up at 1 year. Conclusions: The amount of bias in mortality estimates can be large in ART programmes with substantial loss to follow-up. Programmes should routinely report mortality among patients retained in care and the proportion of patients lost. A simple nomogram can then be used to estimate mortality among all patients who started ART, for a range of plausible mortality rates among patients lost to follow-up.
  • Loading...
    Thumbnail Image
    Item
    Open Access
    Mortality of HIV-infected patients starting antiretroviral therapy in sub-Saharan Africa: comparison with HIV-unrelated mortality
    (Public Library of Science, 2009) Brinkhof, Martin W G; Boulle, Andrew; Weigel, Ralf; Messou, Eugène; Mathers, Colin; Orrell, Catherine; Dabis, François; Pascoe, Margaret; Egger, Matthias; (IeDEA), for the International epidemiological Databases to Evaluate AIDS
    Comparing mortality rates between patients starting HIV treatment and the general population in four African countries, Matthias Egger and colleagues find the gap decreases over time, especially with early treatment.
UCT Libraries logo

Contact us

Jill Claassen

Manager: Scholarly Communication & Publishing

Email: openuct@uct.ac.za

+27 (0)21 650 1263

  • Open Access @ UCT

    • OpenUCT LibGuide
    • Open Access Policy
    • Open Scholarship at UCT
    • OpenUCT FAQs
  • UCT Publishing Platforms

    • UCT Open Access Journals
    • UCT Open Access Monographs
    • UCT Press Open Access Books
    • Zivahub - Open Data UCT
  • Site Usage

    • Cookie settings
    • Privacy policy
    • End User Agreement
    • Send Feedback

DSpace software copyright © 2002-2025 LYRASIS