Growing older with HIV in the Treat‐All Era
In: Journal of the International AIDS Society, Band 25, Heft S4
ISSN: 1758-2652
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In: Journal of the International AIDS Society, Band 25, Heft S4
ISSN: 1758-2652
In: Decision analysis: a journal of the Institute for Operations Research and the Management Sciences, INFORMS, Band 8, Heft 2, S. 145-157
ISSN: 1545-8504
This paper aids in the diagnosis and treatment of lipid abnormalities by enhancing understanding of lipid values among HIV-infected patients. An elicited loss function highlights the importance of true low-density lipoprotein (LDL) cholesterol. In clinical settings, total cholesterol, high-density lipoprotein cholesterol, and triglycerides are often measured. Interpreting the resulting values can be problematic because of uncertainty due to the unknown period of fasting before the patient's blood was drawn. This results in uncertainty in the LDL cholesterol values, which are often calculated from other lipid values rather than measured directly. To model true LDL cholesterol, a four-level Bayesian hierarchical model is analyzed using Markov chain Monte Carlo techniques and elicited prior distributions. In turn, this yields expected-loss-minimizing treatment decisions for individual patients.
In: Journal of the International AIDS Society, Band 24, Heft 3
ISSN: 1758-2652
AbstractIntroductionLittle is known about onward HIV transmissions from people living with HIV (PLWH) in care. Antiretroviral therapy (ART) has increased in potency, and treatment as prevention (TasP) is an important component of ending the epidemic. Syndemic theory has informed modelling of HIV risk but has yet to inform modelling of HIV transmissions.MethodsData were from 61,198 primary HIV care visits for 14,261 PLWH receiving care through the Centers for AIDS Research (CFAR) Network of Integrated Clinical Systems (CNICS) at seven United States (U.S.) sites from 2007 to 2017. Patient‐reported outcomes and measures (PROs) of syndemic conditions – depressive symptoms, anxiety symptoms, drug use (opiates, amphetamines, crack/cocaine) and alcohol use – were collected approximately four to six months apart along with sexual behaviours (mean = 4.3 observations). Counts of syndemic conditions, HIV sexual risk group and time in care were modelled to predict estimated HIV transmissions resulting from sexual behaviour and viral suppression status (HIV RNA < 400/mL) using hierarchical linear modelling.ResultsPatients averaged 0.38 estimated HIV transmissions/100 patients/year for all visits with syndemic conditions measured (down from 0.83, first visit). The final multivariate model showed that per 100 patients, each care visit predicted 0.05 fewer estimated transmissions annually (95% confidence interval (CI): 0.03 to 0.06; p < 0.0005). Cisgender women, cisgender heterosexual men and cisgender men of undisclosed sexual orientation had, respectively, 0.47 (95% CI: 0.35 to 0.59; p < 0.0005), 0.34 (95% CI: 0.20 to 0.49; p < 0.0005) and 0.22 (95% CI: 0.09 to 0.35; p < 0.005) fewer estimated HIV transmissions/100 patients/year than cisgender men who have sex with men (MSM). Each within‐patient syndemic condition predicted 0.18 estimated transmissions/100 patients/year (95% CI: 0.12 to 0.24; p < 0.0005). Each between‐syndemic condition predicted 0.23 estimated HIV transmissions/100 patients/year (95% CI: 0.17 to 0.28; p < 0.0005).ConclusionsEstimated HIV transmissions among PLWH receiving care in well‐resourced U.S. clinical settings varied by HIV sexual risk group and decreased with time in care, highlighting the importance of TasP efforts. Syndemic conditions remained a significant predictor of estimated HIV transmissions notwithstanding the effects of HIV sexual risk group and time in care.
Background. CD4 count at start of combination antiretroviral therapy (ART) is strongly associated with short-term survival, but its association with longer-term survival is less well characterized. Methods. We estimated mortality rates (MRs) by time since start of ART (<0.5, 0.5-0.9, 1-2.9, 3-4.9, 5-9.9, and ≥10 years) among patients from 18 European and North American cohorts who started ART during 1996-2001. Piecewise exponential models stratified by cohort were used to estimate crude and adjusted (for sex, age, transmission risk, period of starting ART [1996-1997, 1998-1999, 2000-2001], and AIDS and human immunodeficiency virus type 1 RNA at baseline) mortality rate ratios (MRRs) by CD4 count at start of ART (0-49, 50-99, 100-199, 200-349, 350-499, ≥500 cells/µL) overall and separately according to time since start of ART. Results. A total of 6344 of 37 496 patients died during 359 219 years of follow-up. The MR per 1000 person-years was 32.8 (95% confidence interval [CI], 30.2-35.5) during the first 6 months, declining to 16.0 (95% CI, 15.4-16.8) during 5-9.9 years and 14.2 (95% CI, 13.3-15.1) after 10 years' duration of ART. During the first year of ART, there was a strong inverse association of CD4 count at start of ART with mortality. This diminished over the next 4 years. The adjusted MRR per CD4 group was 0.97 (95% CI, .94-1.00; P = .054) and 1.02 (95% CI, .98-1.07; P = .32) among patients followed for 5-9.9 and ≥10 years, respectively. Conclusions. After surviving 5 years of ART, the mortality of patients who started ART with low baseline CD4 count converged with mortality of patients with intermediate and high baseline CD4 counts. ; This work is jointly funded by the UK Medical Research Council (MRC) (grant number MR/J002380/1) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement and is also part of the EDCTP2 program supported by the European Union. J. A. C. S. is funded by a National Institute for Health Research Senior Investigator award ...
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BACKGROUND: High early mortality in patients with HIV-1 starting antiretroviral therapy (ART) in sub-Saharan Africa, compared to Europe and North America, is well documented. Longer-term comparisons between settings have been limited by poor ascertainment of mortality in high burden African settings. This study aimed to compare mortality up to four years on ART between South Africa, Europe, and North America. METHODS AND FINDINGS: Data from four South African cohorts in which patients lost to follow-up (LTF) could be linked to the national population register to determine vital status were combined with data from Europe and North America. Cumulative mortality, crude and adjusted (for characteristics at ART initiation) mortality rate ratios (relative to South Africa), and predicted mortality rates were described by region at 0-3, 3-6, 6-12, 12-24, and 24-48 months on ART for the period 2001-2010. Of the adults included (30,467 [South Africa], 29,727 [Europe], and 7,160 [North America]), 20,306 (67%), 9,961 (34%), and 824 (12%) were women. Patients began treatment with markedly more advanced disease in South Africa (median CD4 count 102, 213, and 172 cells/µl in South Africa, Europe, and North America, respectively). High early mortality after starting ART in South Africa occurred mainly in patients starting ART with CD4 count <50 cells/µl. Cumulative mortality at 4 years was 16.6%, 4.7%, and 15.3% in South Africa, Europe, and North America, respectively. Mortality was initially much lower in Europe and North America than South Africa, but the differences were reduced or reversed (North America) at longer durations on ART (adjusted rate ratios 0.46, 95% CI 0.37-0.58, and 1.62, 95% CI 1.27-2.05 between 24 and 48 months on ART comparing Europe and North America to South Africa). While bias due to under-ascertainment of mortality was minimised through death registry linkage, residual bias could still be present due to differing approaches to and frequency of linkage. CONCLUSIONS: After accounting for under-ascertainment of mortality, with increasing duration on ART, the mortality rate on HIV treatment in South Africa declines to levels comparable to or below those described in participating North American cohorts, while substantially narrowing the differential with the European cohorts. Please see later in the article for the Editors' Summary. ; Funding of the International epidemiological Databases to Evaluate AIDS, Southern Africa (IeDEA-SA) collaboration was provided by the US National Institute of Allergy and Infectious Diseases (NIAID), grant no. 5U01AI069924-05. The ART Cohort Collaboration is funded by UK Medical Research Council grants and the Department for International Development (DFID), grants G0700820 and MR/J002380/1. Sources of funding of individual cohorts include the Agence Nationale de Recherche sur le SIDA et les hépatites virales (ANRS); the Institut National de la Santé et de la Recherche Médicale (INSERM); the French, Italian, and Spanish Ministries of Health; the Swiss National Science Foundation (grant 33CS30_134277); the Ministry of Science and Innovation and the Spanish Network for AIDS Research (RIS; ISCIII-RETIC RD06/006); the Stichting HIV Monitoring; the European Commission (EuroCoord grant 260694); the British Columbia and Alberta Governments; the National Institutes of Health (NIH): UW Center for AIDS Research (CFAR) (NIH grant P30 AI027757), UAB CFAR (NIH grant P30-AI027767), The Vanderbilt-Meharry CFAR (NIH grant P30 AI54999), National Institute on Alcohol Abuse and Alcoholism (U10-AA13566, U24-AA020794); the US Department of Veterans Affairs; the Michael Smith Foundation for Health Research; the Canadian Institutes of Health Research; the VHA Office of Research and Development; and unrestricted grants from Abbott, Gilead, Tibotec-Upjohn, ViiV Healthcare, MSD, GlaxoSmithKline, Pfizer, Bristol Myers Squibb, Roche, and Boehringer-Ingelheim. No funding bodies had any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ; Sí
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In: Journal of the International AIDS Society, Band 21, Heft 1
ISSN: 1758-2652
AbstractIntroductionHIV‐1 infection leads to chronic inflammation and to an increased risk of non‐AIDS mortality. Our objective was to determine whether AIDS‐defining events (ADEs) were associated with increased overall and cause‐specific non‐AIDS related mortality after antiretroviral therapy (ART) initiation.MethodsWe included HIV treatment‐naïve adults from the Antiretroviral Therapy Cohort Collaboration (ART‐CC) who initiated ART from 1996 to 2014. Causes of death were assigned using the Coding Causes of Death in HIV (CoDe) protocol. The adjusted hazard ratio (aHR) for overall and cause‐specific non‐AIDS mortality among those with an ADE (all ADEs, tuberculosis (TB), Pneumocystis jiroveci pneumonia (PJP), and non‐Hodgkin's lymphoma (NHL)) compared to those without an ADE was estimated using a marginal structural model.ResultsThe adjusted hazard of overall non‐AIDS mortality was higher among those with any ADE compared to those without any ADE (aHR 2.21, 95% confidence interval (CI) 2.00 to 2.43). The adjusted hazard of each of the cause‐specific non‐AIDS related deaths were higher among those with any ADE compared to those without, except metabolic deaths (malignancy aHR 2.59 (95% CI 2.13 to 3.14), accident/suicide/overdose aHR 1.37 (95% CI 1.05 to 1.79), cardiovascular aHR 1.95 (95% CI 1.54 to 2.48), infection aHR (95% CI 1.68 to 2.81), hepatic aHR 2.09 (95% CI 1.61 to 2.72), respiratory aHR 4.28 (95% CI 2.67 to 6.88), renal aHR 5.81 (95% CI 2.69 to 12.56) and central nervous aHR 1.53 (95% CI 1.18 to 5.44)). The risk of overall and cause‐specific non‐AIDS mortality differed depending on the specific ADE of interest (TB, PJP, NHL).ConclusionsIn this large multi‐centre cohort collaboration with standardized assignment of causes of death, non‐AIDS mortality was twice as high among patients with an ADE compared to without an ADE. However, non‐AIDS related mortality after an ADE depended on the ADE of interest. Although there may be unmeasured confounders, these findings suggest that a common pathway may be independently driving both ADEs and NADE mortality. While prevention of ADEs may reduce subsequent death due to NADEs following ART initiation, modification of risk factors for NADE mortality remains important after ADE survival.