Prospective epidemiological study of the prevalence of HLA- B*5701 in HIV-1 infected UK subjects Chloe Orkin 1, S. Tariq Sadiq 2, Felix Jackson 3, Leanne.

Slides:



Advertisements
Similar presentations
Números.
Advertisements

Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Burton, V., Puente, A.E., Vilar-López, R.
AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
In-Home Pantry Inventory Updated: November Background and Methodology Background In 1996 a National Eating Trends (NET) pantry survey found that.
EuroCondens SGB E.
Worksheets.
STATISTICS Linear Statistical Models
STATISTICS INTERVAL ESTIMATION Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University.
Addition and Subtraction Equations
Disability status in Ethiopia in 1984, 1994 & 2007 population and housing sensus Ehete Bekele Seyoum ESA/STAT/AC.219/25.
OPTN Modifications to Heart Allocation Policy Implemented July 12, 2006 Changed the allocation order for medically urgent (Status 1A and 1B) patients Policy.
Acute HCV in HIV-infected Men The ‘new’ STD
DIVERSE COMMUNITIES, COMMON CONCERNS: ASSESSING HEALTH CARE QUALITY FOR MINORITY AMERICANS FINDINGS FROM THE COMMONWEALTH FUND 2001 HEALTH CARE QUALITY.
NTDB ® Annual Report 2010 © American College of Surgeons All Rights Reserved Worldwide National Trauma Data Bank 2010 Annual Report.
EQUS Conference - Brussels, June 16, 2011 Ambros Uchtenhagen, Michael Schaub Minimum Quality Standards in the field of Drug Demand Reduction Parallel Session.
Add Governors Discretionary (1G) Grants Chapter 6.
CALENDAR.
HIV Surveillance Report, 2001 Minnesota Department of Health HIV/AIDS Surveillance System Minnesota Department of Health HIV/AIDS Surveillance System.
Alaska Accountability Adequate Yearly Progress January 2008, Updated.
Alaska Accountability Adequate Yearly Progress February 2007, Updated.
CHAPTER 18 The Ankle and Lower Leg
The 5S numbers game..
National Center for State Courts VCCJA Baseline Recidivism Study Fred Cheesman, Ph.D. Tara Kunkel, MSW The National Center for State Courts August 16,
突破信息检索壁垒 -SciFinder Scholar 介绍
A Fractional Order (Proportional and Derivative) Motion Controller Design for A Class of Second-order Systems Center for Self-Organizing Intelligent.
Numerical Analysis 1 EE, NCKU Tien-Hao Chang (Darby Chang)
Sampling in Marketing Research
Break Time Remaining 10:00.
The basics for simulations
The Pecan Market How long will prices stay this high?? Brody Blain Vice – President.
How would you explain the smoking paradox. Smokers fair better after an infarction in hospital than non-smokers. This apparently disagrees with the view.
TCCI Barometer March “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
1 Prediction of electrical energy by photovoltaic devices in urban situations By. R.C. Ott July 2011.
Dynamic Access Control the file server, reimagined Presented by Mark on twitter 1 contents copyright 2013 Mark Minasi.
TCCI Barometer March “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
Progressive Aerobic Cardiovascular Endurance Run
Association between use of air-conditioning or fan and survival of elderly febrile patients: a prospective study George Theocharis, MD, Giannoula S. Tansarli,
THE CLINICAL EFFICACY OF REPEAT BRAIN CT IN PATIENTS WITH TRAUMATIC INTRACRANIAL HAEMORRHAGE WITHIN 24 HRS AFTER BLUNT HEAD INJURY.
2)Do children’s adjustment problems transact over time with parent-teacher communication? Yes. When children showed more externalizing and internalizing.
1 Core Segments: Price Value Shoppers : Very much focused on getting the best value for their money, Price Value Shoppers love to shop, and take pride.
Name of presenter(s) or subtitle Canadian Netizens February 2004.
Area under curves Consider the curve y = f(x) for x  [a, b] The actual area under the curve is units 2 The approximate area is the sum of areas.
TCCI Barometer September “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
PROCESS vs. WA State SCS Study A Comparison of Study Design, Patient Population, and Outcomes August 29,2007.
2011 WINNISQUAM COMMUNITY SURVEY YOUTH RISK BEHAVIOR GRADES 9-12 STUDENTS=1021.
Before Between After.
2011 FRANKLIN COMMUNITY SURVEY YOUTH RISK BEHAVIOR GRADES 9-12 STUDENTS=332.
The Prevalence of Foot Ulceration in Rheumatoid Arthritis The Prevalence of Foot Ulceration in Rheumatoid Arthritis Jill Firth 1, Claire Hale 1, Philip.
2.10% more children born Die 0.2 years sooner Spend 95.53% less money on health care No class divide 60.84% less electricity 84.40% less oil.
HYPnet Late presentation of vertically transmitted HIV infection in adolescence A Judd 1, R Ferrand 2,3, E Jungmann 2, C Foster 4, H Lyall 4, Brian Rice.
: 3 00.
5 minutes.
Diversity Resources and Data Snapshots February 2012 Edition Diversity Policy and Programs & the Center for Workforce Studies.
Weisburd, Lawton, Ready, Rudes, Cave, and Nelson Presented by Breanne Cave 1.
Static Equilibrium; Elasticity and Fracture
Resistência dos Materiais, 5ª ed.
Clock will move after 1 minute
Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 11 Simple Linear Regression.
Lial/Hungerford/Holcomb/Mullins: Mathematics with Applications 11e Finite Mathematics with Applications 11e Copyright ©2015 Pearson Education, Inc. All.
HIV and Aging Kathleen K Casey, MD Director, AIDS Ambulatory Care Center Jersey Shore University Medical Center.
Biostatistics course Part 14 Analysis of binary paired data
Select a time to count down from the clock above
Chapter 8: Dialysis Providers 2014 ANNUAL DATA REPORT VOLUME 2: E ND -S TAGE R ENAL D ISEASE.
Chart Deception Main Source: How to Lie with Charts, by Gerald E. Jones Dr. Michael R. Hyman, NMSU.
Children and resistance to HIV: CHIPS data Dr Katherine Boyd on behalf of Collaborative HIV Paediatric Study (CHIPS) and the UK HIV Drug Resistance Database.
Schutzvermerk nach DIN 34 beachten 05/04/15 Seite 1 Training EPAM and CANopen Basic Solution: Password * * Level 1 Level 2 * Level 3 Password2 IP-Adr.
Ethnic differences in the incidence of prostate cancer patients in UK A review Presented By Steven L. Young Masters Candidate Florida A&M University COPPS.
Presentation transcript:

Prospective epidemiological study of the prevalence of HLA- B*5701 in HIV-1 infected UK subjects Chloe Orkin 1, S. Tariq Sadiq 2, Felix Jackson 3, Leanne Rice 3, Bridin McCaughey 3, Shema Tariq 4, Laura Cunningham 1, Helen Pearce 3 1 Barts & the London NHS Trust; 2 St Georges, University of London; 3 GlaxoSmithKline; 4 Homerton Hospital NHS Trust 11 th European AIDS Conference, 25–26 October 2007, Madrid, Spain

Aim: Human Leukocyte Antigen (HLA) B*5701 is strongly associated with the risk of a hypersensitivity reaction to abacavir in Caucasians and Hispanics. To date limited data exist on HLA- B*5701 prevalence in HIV-1 infected subjects in the UK. We aimed to determine HLA-B*5701 prevalence in the general HIV-1 infected population and in specific ethnic groups such as black Africans whom, in general, exhibit greater genetic stratification. In addition, we compared HLA-B*5701 results obtained from local laboratories with those from a central provider. Methods: Multi-centre, observational study. All HIV-1 infected adult individuals receiving care at participating centres were eligible, irrespective of treatment status or prior exposure to abacavir. Subjects provided samples for HLA-B*5701 assessment by both local (blood) and central laboratories (buccal swabs). Demographic data were collected. Analysis of HLA-B*5701 prevalence was carried out for all subjects recruited (adjusted for their UK ethnicity split), and by main ethnic group. Results: This analysis includes 1494 subjects (618 (41%) white, 770 (52%) black) from eight UK centres. 89% of black subjects reported a country of origin in Africa. Mean age was 41 years (SD 9 years), with 64% (952/1494) being male. HLA-B*5701 prevalence by central laboratory analysis, adjusting for ethnicity split, was 4.77% (95% confidence interval [CI] 3.69% to 5.85%). Among white subjects the prevalence was 7.93% (5.80% to 10.06%) and among black subjects, two (country of origin: Uganda for both) were HLA B*5701 positive giving a prevalence of 0.26% (0.07% to 0.94%). Conclusions: HLA B*5701 prevalence was similar to previously reported rates in white HIV-infected subjects but considerably lower than those reported in black HIV infected subjects, perhaps due to the large proportion of black subjects that were of African origin. Abstract

Human Leukocyte Antigen (HLA) B*5701 is strongly associated with the risk of a hypersensitivity reaction to abacavir in Caucasians and Hispanics 1. Limited data exist on HLA-B*5701 prevalence in HIV-1 infected subjects in the UK 2, specifically in ethnic groups such as black Africans whom, in general, exhibit greater genetic stratification. HLA B*5701 prevalence rates in Africa can vary considerably 3. Introduction Objectives Primary To determine the prevalence of HLA-B*5701 in the UK HIV-1 infected population Secondary To assess the prevalence of HLA-B*5701 in the major UK ethnic groups in the study population To describe the HLA-B*5701 results provided by local laboratory methods with respect to central laboratory methods

Multi-centre*, observational Inclusion criteria: HIV-1 infected subjects over 18 years of age Subjects provided buccal cell and blood samples which were used to assess HLA-B*5701 status by central and local methodologies respectively. Prevalence rates were based on central lab methodology. The population was over-sampled for African American/African Heritage subjects to allow for greater precision for the lower expected prevalence of HLA-B*5701 Confidence intervals for small prevalences were calculated using the Wilson score 4 *See Acknowledgements below Ethnic sub-division Subjects reported their geographic ancestry (as categorised in previous studies) and those of their parents and grandparents as follows (multiple categories allowed): African American/African HeritageAmerican Indian or Alaskan Native Asian – Central/South AsianAsian – East Asian Heritage Asian – Japanese HeritageAsian – South East Asia Heritage Native Hawaiian or Other Pacific IslanderWhite – Arabic/North African Heritage White – White/Caucasian/European Heritage Subjects reported their country of origin and those of their parents and grandparents. Subjects were sub-divided* using all reported geographic ancestries and all countries (subjects could be in multiple sub-divisions due to differing parental/grandparental ancestry): White – White/Caucasian/European Heritage White/Eurasian – Europe, Arabic countries, Australia, Canada, Malta, New Zealand, Russia, USA African American/African Heritage NigerCongo (Bantu) – Bantu region from West and Central Africa Black Caribbean/African American – Caribbean, South American or USA Other Black African – Afro-Asiatic, Nilo-Saharan or Khoisan region Asian – Central/South Asian or East Asian Heritage South Asian – India, Bangladesh, Pakistan, Sri Lanka, Goa or China Asian – Central/South Asian, East Asian or Japanese Heritage East Asian and Oceanics – Cambodia, China, Hong Kong, Indonesia, Japan, Laos, Malaysia, Thailand Unclassifiable – Country of origin too genetically mixed for classification (e.g. Tanzania, Swaziland, Congo, Brazil, Seychelles, Africa, Asia) – Geographic ancestries and countries too diverse to classify *White, Eurasian and Asian groups by previously reported clustering by autosomal genetics; black African groups by ethnologue (linguistic classification) as a proxy for genetic clustering based on predominant tribe or language in the country of origin. Methods

Table 1. Prevalence of HLA-B*5701 for all subjects and main ethnic groups Demographics No. subjects recruited1502 No. subjects with a central laboratory result1494 Mean age 41 yrs (sd 9 yrs) Male 64% (952/1494) African American/African Heritage: 53%* (791/1494) White – White/Caucasian/European Heritage: 43% (647/1494) *Intentionally over-sampled; UK HIV-infected population 5 : White 53.2%, Black 37.1% n HLA-B*5701 positive Prevalence % (95% CI) Overall * ( ) White ( ) Af Am / African ( ) * Weighted by ethnicity based on 2003 SOPHID data 5 Results

Table 2. Prevalence of HLA-B*5701 for ethnic sub-divisions n HLA-B*5701 Positive Prevalence % (95% CI) White/Eurasian All subjects -all grandparent/parent the same -% homogenous ethnicity % % 7.95 ( ) 8.49 ( ) NigerCongo (Bantu) All subjects - all grandparent/parent the same - % homogenous ethnicity % % 0.52 ( ) 0.19 ( ) Black Caribbean/African American All subjects -all grandparent/parent the same - % homogenous ethnicity % 0 0% 0.00 Other Black African All subjects -all grandparent/parent the same - % homogenous ethnicity % 0 0% 0.00 South Asian All subjects -all grandparent/parent the same - % homogenous ethnicity % % 4.76 ( ) 5.00 ( ) East Asian & Oceanics All subjects -all grandparent/parent the same - % homogenous ethnicity % 0 0% 0.00 Unclassifiable All subjects -all grandparent/parent the same - % homogenous ethnicity % 5 0 0% 2.05 ( ) 0.00 Ethnic sub-division Subjects from 94 countries were represented in our sample. Following sub-division as described above, the prevalence of HLA-B*5701 was calculated for all subjects and for subjects whose self-reported geographic ancestry and country of origin was homogenous with those reported for their parents and grandparents (see Table 2). The percentage of homogenous subjects was calculated to provide an indication of genetic variability within each sub-division. Results (cont.)

Figure 1. Prevalence of HLA-B*5701 for self-reported country of origin (>50/country) No. subjects: subjects; 1494 with central lab; 1479 with both central and local lab 99.9% agreement between the local and central labs. Two results differed: - One false negative (local lab) was found to be a transcription error from the notes onto the case report form - One false positive (local lab) was an HLA-B* reported as HLA- B*5701 (on two separate samples) by two-stage SSP methodology. Central vs local laboratories

HLA B*5701 prevalence in the UK was similar to previously reported rates 6 in white HIV-infected subjects but considerably lower than those reported in black HIV infected subjects, perhaps due to the large proportion of black subjects that were of African origin. 99.9% of samples tested at the local laboratories agreed with those tested at the central laboratories The prevalence rates identified in the black subjects is considerably lower than previously reported rates, perhaps due to the large proportion of black subjects that were of African origin. Sub-dividing subjects allowed clinically meaningful categorisation using self-reported geographic ancestry and country of origin. However, the 244 unclassifiable subjects underline the difficulties in basing decisions on these self-reported measures of ethnicity. Despite an overall sample size of 1502 only two sub-divisions had a sufficiently large sample to allow meaningful interpretation of the prevalence rate (White/Eurasian and NigerCongo with prevalence rates of 7.95% (CI 5.88% %) and 0.52% (CI 0.18% %) respectively.) Prevalence rates in different African countries is similar to previously reported rates (Zimbabwe 0.0%, Uganda 2.4%) 3, reflecting the likely greater utility of B*5701 testing in some African groups compared with others, although the small sample size may lead to sampling bias. Only one of the three HLA-B*5701 positive subjects in the NigerCongo sub-division self-reported as genetically homogenous. The false negative result reinforces the need for robust reporting mechanisms. The false positive result reinforces the need for robust laboratory quality assurance. It is reassuring that SSP methodology failed safe by identifying the patient as HLA-B*5701 positive. Conclusions Discussion

References Acknowledgements We acknowledge the significant efforts of clinic and research staff at: Barts & the London NHS Trust (Dr Chloe Orkin, James Hand, Carl DeSouza, Dr Rebecca OConnell, Duncan Scott, Paul Davis, Are Isaksen, Stephen Myall, Liz Spellman, Daphne Gibbs, Sai Gomez, Katie Holmes), Guys and St Thomass NHS Foundation Trust (Dr Cindy Sethi, Isabelle Jendrulek, Alice Sharp, Fiona Makia, Dr Ranjababu Kulasegaram), Homerton University Hospital (Dr Jane Anderson, Shema Tariq, Sara Paparini, Mohamed Rogers, Lorraine Muromba), Queen Elizabeth Hospital NHS Trust (Dr Stephen Kegg, Dr Sue Mitchell, Dr Judy Russell, Dr Meg Hunter, Kim Perez, Jayne Clark), St Georges Healthcare NHS Trust (Dr Tariq Sadiq, Ade Adebeyi, Muchanetta Ndorro, Marguerite Cockerill, Dr Hay, Dr Richard Lau, Dr Melanie Rosevinge, Dr Mark Pakianathan, Dr C Fernando), St Marys NHS Trust (Dr Winston, Dr Ken Legg, Norman Gariwa, Dr Simon Portsmouth), Walsall Manor Hospital (Dr Arumainayagam, Dr S Chandramarni, Helen Lathe), Whittall Street Clinic (Professor Jonathan Ross, Louise Brown, Katrina Hood) 1.Mallal S, Phillips E, Carosi G et al. PREDICT-1: a novel randomised prospective study to determine the clinical utility of HLA-B*5701 screening to reduce abacavir hypersensitivity in HIV-1 infected subjects (study CNA106030). 4 th IAS Conference on HIV Pathogenesis, Treatment and Prevention, 22 nd -25 th July 2007, Sydney, Australia. Abstract WESS101 2.Reeves I, Churchill D, Fisher M. Screening for HLA-B*5701 reduces the frequency of abacavir hypersensitivity reactions. 8 th International Workshop on Adverse Drug Reactions and Lipodystrophy in HIV, 24 th -26 th September 2006, San Francisco, CA, USA. Abstract 14 3.Sadiq ST, Pakianathan M. Uncertainties of routine HLA B*5701 testing in black African HIV cohorts in the UK. Sex Transm Inf :173 4.Wilson EB. Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association 1927; 22: 209 – HPA. SOPHID Regional Data GSK UK. Kivexa, SmPC