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Schneider ALC, Pike JR, Elser H, Coresh J, Mosley TH, Diaz-Arrastia R, Gottesman RF. Traumatic brain injury and cognitive change over 30 years among community-dwelling older adults. Alzheimers Dement 2024. [PMID: 38970220 DOI: 10.1002/alz.14104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/17/2024] [Accepted: 06/07/2024] [Indexed: 07/08/2024]
Abstract
INTRODUCTION There is limited evidence regarding the rate of long-term cognitive decline after traumatic brain injury (TBI) among older adults. METHODS In this prospective cohort study, time-varying TBI was defined by self-report and International Classification of Disease diagnostic codes. Cognitive testing was performed at five visits over 30 years and scores were combined into a global cognition factor score. Adjusted linear mixed-effects models estimated the association of TBI with cognitive change. RESULTS A total of 11,701 Atherosclerosis Risk in Communities (ARIC) Study participants (mean baseline age 58 years, 58% female, 25% Black) without TBI at baseline were included. Over follow-up, 18% experienced TBI. The adjusted average decline in cognition per decade (standard deviation units) was more than twice as fast among individuals with ≥ 2 incident TBIs (𝛽 = -0.158, 95% confidence interval [CI] = -0.253,-0.063), but not among individuals with 1 TBI (𝛽 = -0.052, 95% CI = -0.107, 0.002), compared to without TBI (𝛽 = -0.057, 95% CI = -0.095, -0.020). DISCUSSION This study provides robust evidence that TBIs fundamentally alter the trajectories of cognitive decline. HIGHLIGHTS The adjusted average decline in cognition per decade (standard deviation units) was more than twice as fast among individuals with ≥ 2 incident traumatic brain injuries (TBIs; 𝛽 = -0.158, 95% confidence interval [CI] = -0.253, -0.063), but not with 1 TBI (𝛽 = -0.052, 95% CI = -0.107, 0.002), compared to without TBI (𝛽 = -0.057, 95% CI = -0.095, -0.020). Over a period of 30 years, this difference in cognitive decline is equivalent to individuals with ≥ 2 TBIs being 9.7 years older at baseline. Associations of TBI were stronger among individuals with one or two apolipoprotein E (APOE) ε4 alleles than among individuals with zero APOE ε4 alleles (P interaction = 0.007).
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Affiliation(s)
- Andrea L C Schneider
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - James R Pike
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA
| | - Holly Elser
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Josef Coresh
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA
| | - Thomas H Mosley
- The MIND Center, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
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Elser H, Pappalardo LW, Gottesman RF, Coresh J, Diaz-Arrastia R, Mosley TH, Kasner SE, Koton S, Schneider ALC. Head Injury and Risk of Incident Ischemic Stroke in Community-Dwelling Adults. Stroke 2024; 55:1562-1571. [PMID: 38716662 PMCID: PMC11126353 DOI: 10.1161/strokeaha.123.046443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 03/29/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND While stroke is a recognized short-term sequela of traumatic brain injury, evidence about long-term ischemic stroke risk after traumatic brain injury remains limited. METHODS The Atherosclerosis Risk in Communities Study is an ongoing prospective cohort comprised of US community-dwelling adults enrolled in 1987 to 1989 followed through 2019. Head injury was defined using self-report and hospital-based diagnostic codes and was analyzed as a time-varying exposure. Incident ischemic stroke events were physician-adjudicated. We used Cox regression adjusted for sociodemographic and cardiovascular risk factors to estimate the hazard of ischemic stroke as a function of head injury. Secondary analyses explored the number and severity of head injuries; the mechanism and severity of incident ischemic stroke; and heterogeneity within subgroups defined by race, sex, and age. RESULTS Our analysis included 12 813 participants with no prior head injury or stroke. The median follow-up age was 27.1 years (25th-75th percentile=21.1-30.5). Participants were of median age 54 years (25th-75th percentile=49-59) at baseline; 57.7% were female and 27.8% were Black. There were 2158 (16.8%) participants with at least 1 head injury and 1141 (8.9%) participants with an incident ischemic stroke during follow-up. For those with head injuries, the median age to ischemic stroke was 7.5 years (25th-75th percentile=2.2-14.0). In adjusted models, head injury was associated with an increased hazard of incident ischemic stroke (hazard ratio [HR], 1.34 [95% CI, 1.12-1.60]). We observed evidence of dose-response for the number of head injuries (1: HR, 1.16 [95% CI, 0.97-1.40]; ≥2: HR, 1.94 [95% CI, 1.39-2.71]) but not for injury severity. We observed evidence of stronger associations between head injury and more severe stroke (National Institutes of Health Stroke Scale score ≤5: HR, 1.31 [95% CI, 1.04-1.64]; National Institutes of Health Stroke Scale score 6-10: HR, 1.64 [95% CI, 1.06-2.52]; National Institutes of Health Stroke Scale score ≥11: HR, 1.80 [95% CI, 1.18-2.76]). Results were similar across stroke mechanism and within strata of race, sex, and age. CONCLUSIONS In this community-based cohort, head injury was associated with subsequent ischemic stroke. These results suggest the importance of public health interventions aimed at preventing head injuries and primary stroke prevention among individuals with prior traumatic brain injuries.
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Affiliation(s)
- Holly Elser
- Department of Neurology (H.E., L.W.P., R.D.-A., S.E.K., A.L.C.S.), University of Pennsylvania, Philadelphia
| | - Laura W Pappalardo
- Department of Neurology (H.E., L.W.P., R.D.-A., S.E.K., A.L.C.S.), University of Pennsylvania, Philadelphia
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (R.F.G.)
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C., S.K.)
| | - Ramon Diaz-Arrastia
- Department of Neurology (H.E., L.W.P., R.D.-A., S.E.K., A.L.C.S.), University of Pennsylvania, Philadelphia
| | - Thomas H Mosley
- The Memory Impairment and Neurodegenerative Dementia Center, University of Mississippi Medical Center, Jackson (T.H.M.)
| | - Scott E Kasner
- Department of Neurology (H.E., L.W.P., R.D.-A., S.E.K., A.L.C.S.), University of Pennsylvania, Philadelphia
| | - Silvia Koton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C., S.K.)
- School of Health Professions, Tel Aviv University, Israel (S.K.)
| | - Andrea L C Schneider
- Department of Neurology (H.E., L.W.P., R.D.-A., S.E.K., A.L.C.S.), University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology, and Informatics, School of Medicine (A.L.C.S.), University of Pennsylvania, Philadelphia
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Schneider ALC, Law CA, Gottesman RF, Krauss G, Huang J, Kucharska-Newton A, Jensen FE, Gugger JJ, Diaz-Arrastia R, Johnson EL. Posttraumatic Epilepsy and Dementia Risk. JAMA Neurol 2024; 81:2815567. [PMID: 38407883 PMCID: PMC10897826 DOI: 10.1001/jamaneurol.2024.0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/03/2024] [Indexed: 02/27/2024]
Abstract
Importance Although both head injury and epilepsy are associated with long-term dementia risk, posttraumatic epilepsy (PTE) has only been evaluated in association with short-term cognitive outcomes. Objective To investigate associations of PTE with dementia risk. Design, Setting, and Participants The Atherosclerosis Risk in Communities (ARIC) study initially enrolled participants from 1987 to 1989 and this prospective cohort study uses data through December 31, 2019, with a median follow-up of 25 years. Data were analyzed between March 14, 2023, and January 2, 2024. The study took place in 4 US communities in Minnesota, Maryland, North Carolina, and Mississippi. Of 15 792 ARIC study participants initially enrolled, 2061 were ineligible and 1173 were excluded for missing data, resulting in 12 558 included participants. Exposures Head injury was defined by self-report and International Classification of Diseases (ICD) diagnostic codes. Seizure/epilepsy was defined using ICD codes. PTE was defined as a diagnosis of seizure/epilepsy occurring more than 7 days after head injury. Head injury, seizure/epilepsy, and PTE were analyzed as time-varying exposures. Main Outcomes and Measures Dementia was defined using cognitive assessments, informant interviews, and ICD and death certificate codes. Adjusted Cox and Fine and Gray proportional hazards models were used to estimate dementia risk. Results Participants had a mean (SD) age of 54.3 (5.8) years at baseline, 57.7% were female, 28.2% were of self-reported Black race, 14.4% were ultimately categorized as having head injury, 5.1% as having seizure/epilepsy, and 1.2% as having PTE. Over a median follow-up of 25 (25th to 75th percentile, 17-30) years, 19.9% developed dementia. In fully adjusted models, compared with no head injury and no seizure/epilepsy, PTE was associated with 4.56 (95% CI, 4.49-5.95) times the risk of dementia, while seizure/epilepsy was associated with 2.61 (95% CI, 2.21-3.07) times the risk and head injury with 1.63 (95% CI, 1.47-1.80) times the risk. The risk of dementia associated with PTE was significantly higher than the risk associated with head injury alone and with nontraumatic seizure/epilepsy alone. Results were slightly attenuated in models accounting for the competing risks of mortality and stroke, but patterns of association remained similar. In secondary analyses, the increased dementia risk associated with PTE occurring after first vs second head injury and after mild vs moderate/severe injury was similar. Conclusions and Relevance In this community-based cohort, there was an increased risk of dementia associated with PTE that was significantly higher than the risk associated with head injury or seizure/epilepsy alone. These findings provide evidence that PTE is associated with long-term outcomes and supports both the prevention of head injuries via public health measures and further research into the underlying mechanisms and the risk factors for the development of PTE, so that efforts can also be focused on the prevention of PTE after a head injury.
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Affiliation(s)
- Andrea L. C. Schneider
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Connor A. Law
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Rebecca F. Gottesman
- Intramural Research Program, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Gregory Krauss
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Juebin Huang
- Department of Neurology, University of Mississippi Medical Center, Jackson
| | - Anna Kucharska-Newton
- Department of Epidemiology, University of North Carolina Chapel Hill Gilling School of Global Public Health, Chapel Hill
| | - Frances E. Jensen
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - James J. Gugger
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Emily L. Johnson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Hunzinger KJ, Law CA, Elser H, Walter AE, Windham BG, Palta P, Juraschek SP, Hicks CW, Gottesman RF, Schneider ALC. Associations Between Head Injury and Subsequent Risk of Falls: Results From the Atherosclerosis Risk in Communities (ARIC) Study. Neurology 2023; 101:e2234-e2242. [PMID: 37816634 PMCID: PMC10727209 DOI: 10.1212/wnl.0000000000207949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/28/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Falls are a leading cause of head injury among older adults, but the risk of fall occurring after a head injury is less well-characterized. We sought to examine the association between head injury and subsequent risk of falls requiring hospital care among community-dwelling older adults. METHODS This analysis included 13,081 participants in the Atherosclerosis Risk in Communities Study enrolled in 1987-1989 and followed through 2019. The association of head injury (time-varying exposure, self-reported and/or ICD-9/10 code identified) with the risk of subsequent (occurring >1-month after head injury) falls requiring hospital care (ICD-9/10 code defined) was modeled using Cox proportional hazards regression. Secondary analyses included Fine and Gray proportional hazards regression to account for the competing risk of death, analysis of head injury frequency and severity, and formal testing for interaction by age, sex, and race. Models were adjusted for age, sex, race/center, education, military service, alcohol consumption, smoking, diabetes, hypertension, and psychotropic medication use. RESULTS The mean age of participants at baseline was 54 years, 58% were female, 28% were Black, and 14% had at least one head injury occurring over the study period. Over a median 23 years of follow-up, 29% of participants had a fall requiring medical care. In adjusted Cox proportional hazards models, individuals with head injury had 2.01 (95% CI 1.85-2.18) times the risk of falls compared with individuals without head injury. Accounting for the competing risk of mortality, individuals with head injury had 1.69 (95% CI 1.57-1.82) times the risk of falls compared with individuals without head injury. We observed stronger associations among men compared with women (men: hazard ratio [HR] = 2.60, 95% CI 2.25-3.00; women: HR = 1.80, 95% CI 1.63-1.99, p-interaction <0.001). We observed evidence of a dose-response association for head injury number and severity with fall risk (1 injury: HR = 1.68, 95% CI 1.53-1.84; 2+ injuries: HR = 2.37, 95% CI 1.92-2.94 and mild: HR = 1.97, 95% CI 1.78-2.18; moderate/severe/penetrating: HR = 2.50, 95% CI 2.06-3.02). DISCUSSION Among community-dwelling older adults followed over 30 years, head injury was associated with subsequent falls requiring medical care. We observed stronger associations among men and with increasing number and severity of head injuries. Whether older individuals with head injury might benefit from fall prevention measures should be a focus of future research.
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Affiliation(s)
- Katherine J Hunzinger
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania.
| | - Connor A Law
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - Holly Elser
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - Alexa E Walter
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - B Gwen Windham
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - Priya Palta
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - Stephen P Juraschek
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - Caitlin W Hicks
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - Rebecca F Gottesman
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
| | - Andrea L C Schneider
- From the Department of Exercise Science (K.J.H.), Thomas Jefferson University; Department of Neurology (C.A.L., A.E.W., A.L.S.), University of Pennsylvania Perelman School of Medicine; Department of Neurology (H.E.), Hospital of the University of Pennsylvania; Memory Impairment and Neurodegenerative Dementia (MIND) Center (B.G.W.), University of Mississippi Medical Center; Department of Neurology (P.P.), University of North Carolina Chapel Hill; Department of Medicine (S.P.J.), Beth Israel Deaconess Medical Center; Department of Surgery (C.W.H.), Johns Hopkins University School of Medicine; National Institute of Neurological Disorders and Stroke (R.F.G.); Department of Biostatistics (A.L.S.), Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine; and Penn Injury Science Center (A.L.S.), University of Pennsylvania
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Martínez-Camblor P, Díaz-Coto S. Revisiting incidence rates comparison under right censorship. Int J Biostat 2023; 0:ijb-2023-0025. [PMID: 37955274 DOI: 10.1515/ijb-2023-0025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 08/28/2023] [Indexed: 11/14/2023]
Abstract
Data description is the first step for understanding the nature of the problem at hand. Usually, it is a simple task that does not require any particular assumption. However, the interpretation of the used descriptive measures can be a source of confusion and misunderstanding. The incidence rate is the quotient between the number of observed events and the sum of time that the studied population was at risk of having this event (person-time). Despite this apparently simple definition, its interpretation is not free of complexity. In this piece of research, we revisit the incidence rate estimator under right-censorship. We analyze the effect that the censoring time distribution can have on the observed results, and its relevance in the comparison of two or more incidence rates. We propose a solution for limiting the impact that the data collection process can have on the results of the hypothesis testing. We explore the finite-sample behavior of the considered estimators from Monte Carlo simulations. Two examples based on synthetic data illustrate the considered problem. The R code and data used are provided as Supplementary Material.
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Affiliation(s)
- Pablo Martínez-Camblor
- Department of Anesthesiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Faculty of Health Sciences, Universidad Autonoma de Chile, Chile, Providencia , 7500912 , Chile
| | - Susana Díaz-Coto
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
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Jones HS, Hensen B, Musemburi S, Chinyanganya L, Takaruza A, Chabata ST, Matambanadzo P, Platt L, Rice B, Cowan FM, Hargreaves JR. Temporal trends in, and risk factors for, HIV seroconversion among female sex workers accessing Zimbabwe's national sex worker programme, 2009-19: a retrospective cohort analysis of routinely collected HIV testing data. Lancet HIV 2023; 10:e442-e452. [PMID: 37329897 DOI: 10.1016/s2352-3018(23)00110-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 04/25/2023] [Accepted: 05/02/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND The frequency of new HIV infections among female sex workers in sub-Saharan Africa is poorly understood. We used routinely collected data that enable unique identification of repeat HIV testers to assess temporal trends in seroconversion and identify associated risk factors for female sex workers accessing Sisters with a Voice, Zimbabwe's national sex worker programme. METHODS We pooled HIV testing data gathered between Sept 15, 2009, and Dec 31, 2019, from 36 Sisters programme sites in Zimbabwe. We included female sex workers aged 16 years or older with an HIV-negative test and at least one subsequent programme test. We calculated HIV seroconversion rates (using the midpoint between the HIV-positive test and the last negative test as the seroconversion date) and estimated rate ratios to compare 2-year periods by using Poisson regression, with robust SEs to account for clustering by site and adjusting for age and testing frequency to assess temporal trends. We did sensitivity analyses to explore assumptions about seroconversion dates and the effects of variation in follow-up time on our conclusions. FINDINGS Our analysis included data for 6665 female sex workers, 441 (7%) of whom seroconverted. The overall seroconversion rate was 3·8 (95% CI 3·4-4·2) per 100 person-years at risk. Seroconversion rates fell with time since first negative HIV test. After adjustment, there was evidence of a decrease in seroconversion rates from 2009 to 2019 (p=0·0053). In adjusted analyses, being younger than 25 years, and having a sexually transmitted infection diagnosis at a previous visit, were significantly associated with increased seroconversion rates. Our findings were mostly robust to sensitivity analyses, but when 1 month before an HIV-positive test was used as the seroconversion date, seroconversion rates no longer fell with time. INTERPRETATION We identified high rates of seroconversion shortly after linkage to programme services, which emphasises the need to strengthen HIV prevention programmes from first contact with female sex workers in Zimbabwe. New infections among female sex workers remain challenging to measure, but longitudinal analysis of routine testing data can provide valuable insights into seroconversion rates and associated risk factors. FUNDING UN Population Fund, Deutsche Gesellschaft für Internationale Zusammenarbeit, the Bill & Melinda Gates Foundation, The Global Fund to Fight AIDS, Tuberculosis and Malaria, US President's Emergency Plan for AIDS Relief, US Agency for International Development, and the Elton John AIDS Foundation.
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Affiliation(s)
- Harriet S Jones
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
| | - Bernadette Hensen
- Sexual and Reproductive Health Group, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
| | | | | | - Albert Takaruza
- Centre for Sexual Health and HIV/AIDS Research Zimbabwe, Harare, Zimbabwe
| | - Sungai T Chabata
- Centre for Sexual Health and HIV/AIDS Research Zimbabwe, Harare, Zimbabwe
| | | | - Lucy Platt
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Brian Rice
- University of Sheffield, School of Health and Related Research, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Frances M Cowan
- Centre for Sexual Health and HIV/AIDS Research Zimbabwe, Harare, Zimbabwe; Faculty of Global Health, Liverpool School of Tropical Medicine, Liverpool, UK
| | - James R Hargreaves
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
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Asare K, Ngcapu S, Osman F, Vandormael A, Mindel A, Naicker N, Khanyile M, S Abdool Karim S, Tomita A, Garrett N. Incidence, recurrence, and prevalence of bacterial vaginosis from acute to chronic HIV infection in a prospective cohort of women in South Africa. Ann Epidemiol 2023; 82:33-39. [PMID: 37037344 PMCID: PMC10247472 DOI: 10.1016/j.annepidem.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/28/2023] [Accepted: 04/04/2023] [Indexed: 04/12/2023]
Abstract
PURPOSE We investigated the incidence, recurrence, prevalence, and risk factors for bacterial vaginosis (BV) diagnosis starting from acute HIV infection among South African women. METHODS The Centre for the AIDS Programme of Research in South Africa 002 study tested and treated women for BV (Nugent score 7-10) once/twice annually from acute to chronic HIV infection (2004-2020). We estimated BV incidence as the number of new cases and recurrence as the number of subsequent diagnoses per 100 person-years (PYs). We fitted Anderson-Gil Cox-proportional-hazard regression models to determine factors associated with BV incidence or recurrence. RESULTS Of 235 participants, the median age at enrollment was 25 years (Inter Quartile Range [IQR] 22-29). BV prevalence at enrollment was 50.6%. BV incidence was 23.9 cases per 100 PYs, and recurrence was 51.3 cases per 100 PYs. BV incidence/recurrence was associated with younger age (<25 years: adjusted hazard ratio [aHR] 1.70, 95% confidence interval [CI] 1.27-2.27), detectable HIV viral load (aHR 1.54, 95% CI 1.27-1.87) and lower CD4 count (<350 cells/μL: aHR 1.33, 95% CI 1.01-1.76). CONCLUSIONS Our findings underscore the need for early antiretroviral treatment initiation with diagnostic BV and sexually transmitted infection care, especially among younger women.
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Affiliation(s)
- Kwabena Asare
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa; Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa; Health Economics and HIV and AIDS Research Division (HEARD), University of KwaZulu-Natal, Durban, South Africa.
| | - Sinaye Ngcapu
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa; Department of Medical Microbiology, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Farzana Osman
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Alain Vandormael
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Adrian Mindel
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Nivashnee Naicker
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Mlungisi Khanyile
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa; Department of Epidemiology, Columbia University, New York, NY
| | - Andrew Tomita
- Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Nigel Garrett
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa; Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
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Augusto O, Fernández-Luis S, Fuente-Soro L, Nhampossa T, Lopez-Varela E, Nhacolo A, Bernardo E, Guambe H, Tibana K, Juga AJC, Cowan JG, Urso M, Naniche D. Using testing history to estimate HIV incidence in mothers living in resource-limited settings: Maximizing efficiency of a community health survey in Mozambique. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001628. [PMID: 37256868 DOI: 10.1371/journal.pgph.0001628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/24/2023] [Indexed: 06/02/2023]
Abstract
Obtaining rapid and accurate HIV incidence estimates is challenging because of the need for long-term follow-up for a large cohort. We estimated HIV incidence among women who recently delivered in southern Mozambique by leveraging data available in routine health cards. A cross-sectional household HIV-testing survey was conducted from October 2017 to April 2018 among mothers of children born in the previous four years in the Manhiça Health Demographic Surveillance System area. Randomly-selected mother-child pairs were invited to participate and asked to present documentation of their last HIV test result. HIV-testing was offered to mothers with no prior HIV-testing history, or with negative HIV results obtained over three months ago. HIV incidence was estimated as the number of mothers newly diagnosed with HIV per total person-years, among mothers with a prior documented HIV-negative test. Among 5000 mother-child pairs randomly selected, 3069 were interviewed, and 2221 reported a previous HIV-negative test. From this group, we included 1714 mothers who had taken a new HIV test during the survey. Most of mothers included (83.3%,1428/1714) had a previous documented HIV test result and date. Median time from last test to survey was 15.5 months (IQR:8.0-25.9). A total of 57 new HIV infections were detected over 2530.27 person-years of follow-up. The estimated HIV incidence was 2.25 (95% CI: 1.74-2.92) per 100 person-years. Estimating HIV incidence among women who recently delivered using a community HIV-focused survey coupled with previous HIV-testing history based on patients' clinical documents is an achievable strategy.
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Affiliation(s)
- Orvalho Augusto
- Manhiça Health Research Centre (CISM), Maputo, Mozambique
- Faculty of Medicine, University Eduardo Mondlane, Maputo, Mozambique
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
| | - Sheila Fernández-Luis
- Manhiça Health Research Centre (CISM), Maputo, Mozambique
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Laura Fuente-Soro
- Manhiça Health Research Centre (CISM), Maputo, Mozambique
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Tacilta Nhampossa
- Manhiça Health Research Centre (CISM), Maputo, Mozambique
- Instituto Nacional de Saúde (INS), Maputo, Mozambique
| | - Elisa Lopez-Varela
- Manhiça Health Research Centre (CISM), Maputo, Mozambique
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Ariel Nhacolo
- Manhiça Health Research Centre (CISM), Maputo, Mozambique
| | - Edson Bernardo
- Manhiça Health Research Centre (CISM), Maputo, Mozambique
- Manhiça District Health Services, Maputo Province, Mozambique
| | - Helga Guambe
- Ministério da Saúde de Moçambique (MISAU), Maputo, Mozambique
| | - Kwalila Tibana
- Ministério da Saúde de Moçambique (MISAU), Maputo, Mozambique
| | - Adelino Jose Chingore Juga
- Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention, Maputo, Mozambique
| | - Jessica Greenberg Cowan
- Maternal and Child Health Branch Chief, Mozambique, Division of Global HIV and TB, Centers for Disease Control and Prevention, Maputo, Mozambique
| | - Marilena Urso
- Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention, Maputo, Mozambique
| | - Denise Naniche
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
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Kasamba I, Mugisha J, Abaasa A, Makanga R, Ruzagira E, Kaleebu P, Seeley J, Newton R. Thirty years of change in HIV incidence among adults in the Kyamulibwa General Population Cohort in rural southwest Uganda, 1989-2021. Int J Infect Dis 2023; 129:125-134. [PMID: 36736994 DOI: 10.1016/j.ijid.2023.01.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 01/19/2023] [Accepted: 01/19/2023] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVES To document the changes in HIV incidence over thirty years in Kalungu district, Uganda. METHODS Since 1989, residents aged ≥15 years old have been tested for HIV, and data were collected on HIV risk factors annually and later, biennially in the Kyamulibwa open cohort. In the 2019-2021 survey, people living with HIV self-reported on knowledge of their HIV status, antiretroviral therapy (ART) use, and their most recent viral load data were obtained from health facilities. The HIV seroconversion dates were randomly imputed between the last negative and first positive test dates using a uniform distribution. RESULTS Among 20,959 residents who were HIV-negative, 669 seroconverted within 176,659 person-years. Data showed a downward trend in age-adjusted HIV incidence over 30 years (P <0.001) even though HIV prevalence steadily increased with ART availability from 2004. Comparing 1990-1992 and 1996-1998, HIV incidence declined by 43% (0.79 to 0.45/100 person-years, P = 0.002). Between 1999 and 2011, the incidence remained stable at 0.49/100 person-years (95% confidence interval: 0.41-0.58) in men but slowly increased in women (average age-adjusted hazard ratio = 1.13 per 3 years, 95% confidence interval: 1.03-1.24; trend P-value = 0.02). After 2011, however, the incidence trends reversed and continued to decline in men and women and in all age groups. CONCLUSION Facilitating HIV testing and timely ART initiation, and supporting ART adherence must be emphasized alongside sustainable prevention measures.
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Affiliation(s)
- Ivan Kasamba
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, University of London, UK.
| | - Joseph Mugisha
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Andrew Abaasa
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, University of London, UK
| | - Ronald Makanga
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Eugene Ruzagira
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, University of London, UK
| | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, University of London, UK
| | - Janet Seeley
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda; London School of Hygiene and Tropical Medicine, University of London, UK
| | - Robert Newton
- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda; Health Sciences, University of York, UK
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- Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
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Elser H, Gottesman RF, Walter AE, Coresh J, Diaz-Arrastia R, Mosley TH, Schneider ALC. Head Injury and Long-term Mortality Risk in Community-Dwelling Adults. JAMA Neurol 2023; 80:260-269. [PMID: 36689218 PMCID: PMC9871946 DOI: 10.1001/jamaneurol.2022.5024] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/18/2022] [Indexed: 01/24/2023]
Abstract
Importance Head injury is associated with significant short-term morbidity and mortality. Research regarding the implications of head injury for long-term survival in community-dwelling adults remains limited. Objective To evaluate the association of head injury with long-term all-cause mortality risk among community-dwelling adults, with consideration of head injury frequency and severity. Design, Setting, and Participants This cohort study included participants with and without head injury in the Atherosclerosis Risk in Communities (ARIC) study, an ongoing prospective cohort study with follow-up from 1987 through 2019 in 4 US communities in Minnesota, Maryland, North Carolina, and Mississippi. Of 15 792 ARIC participants initially enrolled, 1957 were ineligible due to self-reported head injury at baseline; 103 participants not of Black or White race and Black participants at the Minnesota and Maryland field centers were excluded due to race-site aliasing; and an additional 695 participants with missing head injury date or covariate data were excluded, resulting in 13 037 eligible participants. Exposures Head injury frequency and severity, as defined via self-report in response to interview questions and via hospital-based International Classification of Diseases diagnostic codes (with head injury severity defined in the subset of head injury cases identified using these codes). Head injury was analyzed as a time-varying exposure. Main Outcomes and Measures All-cause mortality was ascertained via linkage to the National Death Index. Data were analyzed between August 5, 2021, and October 23, 2022. Results More than one-half of participants were female (57.7%; 42.3% men), 27.9% were Black (72.1% White), and the median age at baseline was 54 years (IQR, 49-59 years). Median follow-up time was 27.0 years (IQR, 17.6-30.5 years). Head injuries occurred among 2402 participants (18.4%), most of which were classified as mild. The hazard ratio (HR) for all-cause mortality among individuals with head injury was 1.99 (95% CI, 1.88-2.11) compared with those with no head injury, with evidence of a dose-dependent association with head injury frequency (1 head injury: HR, 1.66 [95% CI, 1.56-1.77]; 2 or more head injuries: HR, 2.11 [95% CI, 1.89-2.37]) and severity (mild: HR, 2.16 [95% CI, 2.01-2.31]; moderate, severe, or penetrating: HR, 2.87 [95% CI, 2.55-3.22]). Estimates were similar by sex and race, with attenuated associations among individuals aged 54 years or older at baseline. Conclusions and Relevance In this community-based cohort with more than 3 decades of longitudinal follow-up, head injury was associated with decreased long-term survival time in a dose-dependent manner, underscoring the importance of measures aimed at prevention and clinical interventions to reduce morbidity and mortality due to head injury.
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Affiliation(s)
- Holly Elser
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia
| | - Rebecca F. Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, Maryland
| | - Alexa E. Walter
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Ramon Diaz-Arrastia
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia
| | - Thomas H. Mosley
- The MIND Center, University of Mississippi Medical Center, Jackson
| | - Andrea L. C. Schneider
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
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Richard L, Nisenbaum R, Brown M, Liu M, Pedersen C, Jenkinson JIR, Mishra S, Baral S, Colwill K, Gingras AC, McGeer A, Hwang SW. Incidence of SARS-CoV-2 Infection Among People Experiencing Homelessness in Toronto, Canada. JAMA Netw Open 2023; 6:e232774. [PMID: 36912833 PMCID: PMC10011938 DOI: 10.1001/jamanetworkopen.2023.2774] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2023] Open
Abstract
IMPORTANCE People experiencing homelessness are at high risk of SARS-CoV-2 infection. Incident infection rates have yet to be established in these communities and are needed to inform infection prevention guidance and related interventions. OBJECTIVE To quantify the SARS-CoV-2 incident infection rate among people experiencing homelessness in Toronto, Canada, in 2021 and 2022 and to assess factors associated with incident infection. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study was conducted among individuals aged 16 years and older who were randomly selected between June and September 2021 from 61 homeless shelters, temporary distancing hotels, and encampments in Toronto, Canada. EXPOSURES Self-reported housing characteristics, such as number sharing living space. MAIN OUTCOMES AND MEASURES Prevalence of prior SARS-CoV-2 infection in summer 2021, defined as self-reported or polymerase chain reaction (PCR)- or serology-confirmed evidence of infection at or before the baseline interview, and SARS-CoV-2 incident infection, defined as self-reported or PCR- or serology-confirmed infection among participants without history of infection at baseline. Factors associated with infection were assessed using modified Poisson regression with generalized estimating equations. RESULTS The 736 participants (415 of whom did not have SARS-CoV-2 infection at baseline and were included in the primary analysis) had a mean (SD) age of 46.1 (14.6) years; 486 (66.0%) self-identified as male. Of these, 224 (30.4% [95% CI, 27.4%-34.0%]) had a history of SARS-CoV-2 infection by summer 2021. Of the remaining 415 participants with follow-up, 124 experienced infection within 6 months, representing an incident infection rate of 29.9% (95% CI, 25.7%-34.4%), or 5.8% (95% CI, 4.8%-6.8%) per person-month. Report after onset of the SARS-CoV-2 Omicron variant was associated with incident infection, with an adjusted rate ratio (aRR) of 6.28 (95% CI, 3.94-9.99). Other factors associated with incident infection included recent immigration to Canada (aRR, 2.74 [95% CI, 1.64-4.58]) and alcohol consumption over the past interval (aRR, 1.67 [95% CI, 1.12-2.48]). Self-reported housing characteristics were not significantly associated with incident infection. CONCLUSIONS AND RELEVANCE In this longitudinal study of people experiencing homelessness in Toronto, SARS-CoV-2 incident infection rates were high in 2021 and 2022, particularly once the Omicron variant became dominant in the region. Increased focus on homelessness prevention is needed to more effectively and equitably protect these communities.
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Affiliation(s)
- Lucie Richard
- MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada
| | - Rosane Nisenbaum
- MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada
| | - Michael Brown
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Michael Liu
- MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada
- Harvard Medical School, Boston, Massachusetts
| | - Cheryl Pedersen
- MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada
| | - Jesse I. R. Jenkinson
- MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada
| | - Sharmistha Mishra
- MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
- Division of Epidemiology and Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Stefan Baral
- Department of Epidemiology, John Hopkins University, Baltimore, Maryland
| | - Karen Colwill
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Allison McGeer
- Department of Microbiology, Mount Sinai Hospital, Toronto, Toronto, Ontario, Canada
| | - Stephen W. Hwang
- MAP Centre for Urban Health Solutions, Unity Health Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of General Internal Medicine, University of Toronto, Toronto, Ontario, Canada
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Wijstma ES, Jongen VW, Alberts CJ, de Melker HE, Hoes J, Schim van der Loeff MF. Approaches to Estimating Clearance Rates for Human Papillomavirus Groupings: A Systematic Review and Real Data Examples. Epidemiology 2023; 34:119-130. [PMID: 36137191 DOI: 10.1097/ede.0000000000001550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Approaches to estimating clearance rates, an important metric of human papillomavirus (HPV) clearance, for HPV groupings differ between studies. We aimed to identify the approaches used in the literature for estimating grouped HPV clearance rates. We investigated whether these approaches resulted in different estimations, using data from existing studies. METHODS In this systematic review, we included articles that reported clearance rates of HPV groupings. We identified approaches to data in the HAVANA cohort, comprising adolescent girls, and the H2M cohort, comprising men who have sex with men. We estimated clearance rates for six HPV groupings (bivalent-, quadrivalent- and nonavalent vaccine-related, and low-risk, high-risk, and any HPV). RESULTS From 26 articles, we identified 54 theoretically possible approaches to estimating clearance rates. These approaches varied regarding definitions of clearance events and person-time, and prevalence or incidence of infections included in the analysis. Applying the nine most-used approaches to the HAVANA ( n = 1,394) and H2M ( n = 745) cohorts demonstrated strong variation in clearance rate estimates depending on the approach used. For example, for grouped high-risk HPV in the H2M cohort, clearance rates ranged from 52.4 to 120.0 clearances/1000 person-months. Clearance rates also varied in the HAVANA cohort, but differences were less pronounced, ranging from 24.1 to 57.7 clearances/1000 person-months. CONCLUSIONS Varied approaches from the literature for estimating clearance rates of HPV groupings yielded different clearance rate estimates in our data examples. Estimates also varied between study populations. We advise clear reporting of methodology and urge caution in comparing clearance rates between studies.
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Affiliation(s)
- Eline S Wijstma
- From the Department of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the Netherlands
| | - Vita W Jongen
- From the Department of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the Netherlands
| | - Catharina J Alberts
- Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France
| | - Hester E de Melker
- Department of Epidemiology and Surveillance, National Institute of Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Joske Hoes
- Amsterdam UMC, University of Amsterdam, Internal Medicine, Amsterdam Institute for Infection and Immunity (AII), Amsterdam, the Netherlands
| | - Maarten F Schim van der Loeff
- From the Department of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the Netherlands
- Amsterdam UMC, University of Amsterdam, Internal Medicine, Amsterdam Institute for Infection and Immunity (AII), Amsterdam, the Netherlands
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Wegienka G, Havstad S, Coleman C, Cooper T, Wesselink A, Upson K, Marsh EE, Vines AI, Harmon Q, Baird D, Wise LA. Ultrasound-Confirmed, Age-Specific Uterine Leiomyoma Incidence in a Cohort of Black Individuals. Obstet Gynecol 2022; 140:1042-1048. [PMID: 36357982 PMCID: PMC9712257 DOI: 10.1097/aog.0000000000004997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To estimate the age-specific incidence of uterine leiomyomas identified by transvaginal ultrasonography among participants in SELF (Study of Environment, Lifestyle & Fibroids). METHODS SELF is a longitudinal cohort study of individuals aged 23-35 years who self-identified as Black. Participants were recruited from the Detroit, Michigan, area and underwent up to five transvaginal ultrasonograms over a period of up to 10 years to identify uterine leiomyomas. We randomly imputed incidence dates between the last ultrasonogram date in which no leiomyomas were detected and the date of the ultrasonogram in which leiomyomas were first detected. We used Poisson regression to estimate age-specific incidence rates per 1,000 person-years with 95% CIs. The rates were then compared with those of the BWHS (Black Women's Health Study) and the NHS II (Nurses' Health Study II)-two prospective cohort studies based on self-reported leiomyoma diagnoses. RESULTS In this cohort, 1,693 participants completed a baseline interview and ultrasonogram. We excluded 385 (22.7%) participants with leiomyomas detected during baseline, seven participants whose ultrasonograms were poor quality, and 60 participants with only a baseline ultrasonogram. Among the remaining 1,241 participants, the overall incidence rate was 53.9 cases per 1,000 person-years (95% CI 48.6-59.6). The age-specific incidence rates (cases/1,000 person-years) were: younger than 30 years: 49.7, 95% CI 40.9-59.9; 30-34 years: 55.2, 95% CI 47.0-64.3; and 35-39 years: 58.2, 95% CI 47.3-70.9. Among participants aged younger than 30 years, the incidence rate in SELF was more than double that of the BWHS or the NHS II. CONCLUSION The high age-specific leiomyoma incidence rates in this prospective ultrasound-based study indicate that many young Black individuals with leiomyomas go undiagnosed. These data suggest that individuals could benefit from ultrasound screening when they experience symptoms compatible with leiomyomas (eg, heavy menstrual bleeding, anemia, pelvic pain).
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Affiliation(s)
- Ganesa Wegienka
- Department of Public Health Sciences and the Division of Ultrasound, Department of Diagnostic Radiology, Henry Ford Health, Detroit, the Department of Obstetrics, Gynecology and Reproductive Biology, and the Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, and the Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan; the Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts; the Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, the Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, and the Department of Health and Human Services, Durham, North Carolina
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Baisley K, Orne-Gliemann J, Larmarange J, Plazy M, Collier D, Dreyer J, Mngomezulu T, Herbst K, Hanekom W, Dabis F, Siedner MJ, Iwuji C. Early HIV treatment and survival over six years of observation in the ANRS 12249 Treatment as Prevention Trial. HIV Med 2022; 23:922-928. [PMID: 35218300 PMCID: PMC9545558 DOI: 10.1111/hiv.13263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 01/09/2022] [Accepted: 01/18/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Population-based universal test and treat (UTT) trials have shown an impact on population-level virological suppression. We followed the ANRS 12249 TasP trial population for 6 years to determine whether the intervention had longer-term survival benefits. METHODS The TasP trial was a cluster-randomized trial in South Africa from 2012 to 2016. All households were offered 6-monthly home-based HIV testing. Immediate antiretroviral therapy (ART) was offered through trial clinics to all people living with HIV (PLHIV) in intervention clusters and according to national guidelines in control clusters. After the trial, individuals attending the trial clinics were transferred to the public ART programme. Deaths were ascertained through annual demographic surveillance. Random-effects Poisson regression was used to estimate the effect of trial arm on mortality among (i) all PLHIV; (ii) PLHIV aware of their status and not on ART at trial entry; and (iii) PHLIV who started ART during the trial. RESULTS Mortality rates among PLHIV were 9.3/1000 and 10.4/1000 person-years in the control and intervention arms, respectively. There was no evidence that the intervention decreased mortality among all PLHIV [adjusted rate ratio (aRR) = 1.10, 95% confidence interval (CI) = 0.85-1.43, p = 0.46] or among PLHIV who were aware of their status but not on ART. Among individuals who initiated ART, the intervention decreased mortality during the trial (aRR = 0.49, 95% CI = 0.28-0.85, p = 0.01), but not after the trial ended. CONCLUSIONS The 'treat all' strategy reduced mortality among individuals who started ART but not among all PLHIV. To achieve maximum benefit of immediate ART, barriers to ART uptake and retention in care need to be addressed.
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Affiliation(s)
- Kathy Baisley
- Africa Health Research Institute, Durban, South Africa.,Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Joanna Orne-Gliemann
- University of Bordeaux, Inserm, Institut de Recherche pour le Développement (IRD), UMR 1219, Bordeaux, France
| | - Joseph Larmarange
- Centre Population et Développement (Ceped), Institut de Recherche pour le Développement (IRD), Université de Paris, Inserm, Paris, France
| | - Melanie Plazy
- University of Bordeaux, Inserm, Institut de Recherche pour le Développement (IRD), UMR 1219, Bordeaux, France
| | - Dami Collier
- Division of Infection and Immunity, University College London, London, UK.,Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Cambridge, UK
| | - Jaco Dreyer
- Africa Health Research Institute, Durban, South Africa
| | | | - Kobus Herbst
- Africa Health Research Institute, Durban, South Africa.,DSI-MRC South African Population Research Infrastructure Network, Durban, South Africa
| | - Willem Hanekom
- Africa Health Research Institute, Durban, South Africa.,Division of Infection and Immunity, University College London, London, UK
| | - Francois Dabis
- University of Bordeaux, Inserm, Institut de Recherche pour le Développement (IRD), UMR 1219, Bordeaux, France
| | - Mark J Siedner
- Africa Health Research Institute, Durban, South Africa.,Harvard Medical School, Boston, Massachusetts, USA
| | - Collins Iwuji
- Africa Health Research Institute, Durban, South Africa.,Department of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
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15
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Traeger MW, Guy R, Asselin J, Patel P, Carter A, Wright EJ, Grulich A, McManus H, Fairley CK, Chow EPF, McNulty A, Finlayson R, Bell C, Owen L, Marshall L, Russell D, O'Donnell D, Donovan B, Hellard ME, Stoové MA. Real-world trends in incidence of bacterial sexually transmissible infections among gay and bisexual men using HIV pre-exposure prophylaxis (PrEP) in Australia following nationwide PrEP implementation: an analysis of sentinel surveillance data. THE LANCET. INFECTIOUS DISEASES 2022; 22:1231-1241. [PMID: 35643090 DOI: 10.1016/s1473-3099(22)00175-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/28/2022] [Accepted: 03/02/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Although data from large implementation trials suggest that sexually transmissible infection (STI) risk increases among gay and bisexual men who initiate HIV pre-exposure prophylaxis (PrEP), there are few data on the trends in population-level STI incidence in the years following widespread PrEP implementation. We aimed to describe trends in bacterial STI incidence among gay and bisexual men using PrEP across Australia in the context of broad PrEP availability through Australia's subsidised medicines scheme. METHODS We analysed linked clinical data from HIV-negative gay and bisexual men aged 16 years or older who had been prescribed PrEP across a sentinel surveillance clinical network, including 37 clinics in Australia, between Jan 1, 2016, and Dec 31, 2019. Patients were included if they had STI testing at least twice during the observation period. Repeat testing methods were used to calculate chlamydia, gonorrhoea, syphilis, and any STI incidence rates during individuals' periods of PrEP use. Incidence rate ratios (IRRs) for estimated change in incidence per half calendar year (6-month) period were calculated using negative binomial regression. Secondary analyses compared STI incidence rates across individuals initiating PrEP in each year from 2016 to 2019, as well as by length of time using PrEP (per each additional 6 months of PrEP use). FINDINGS 22 730 men were included in the analyses. During the observation period, 11 351 chlamydia infections were diagnosed in 6630 (30·1%) of 22 034 men over 25 991·2 person-years of PrEP use (incidence rate 43·7 cases [95% CI 42·9-44·5] per 100 person-years). Chlamydia incidence decreased from 48·7 cases per 100 person-years in July-December, 2016, to 42·0 cases per 100 person-years in July-December, 2019 (IRR for estimated change per 6-month period 0·98 [95% CI 0·97-0·99]; p=0·0031). 9391 gonorrhoea infections were diagnosed in 5885 (26·9%) of 21 845 men over 24 858·7 person-years of PrEP use (incidence rate 37·8 cases [95% CI 37·0-38·5] per 100 person-years). Gonorrhoea incidence decreased from 45·5 cases per 100 person-years in July-December, 2016, to 37·2 cases per 100 person-years in July-December, 2019 (IRR 0·97 [95% CI 0·96-0·98]; p<0·0001). Declines in chlamydia and gonorrhoea incidence were most prominent in the first 18 months of observation and incidence was stable thereafter. 2062 syphilis infections were diagnosed in 1488 (7·7%) of 19 262 men over 21 978·9 person-years of PrEP use (incidence rate 9·4 cases [95% CI 9·0-9·8] per 100 person-years). Syphilis incidence increased from 6·2 cases per 100 person-years in July-December, 2016, to 9·8 cases per 100 person-years in July-December, 2019 (IRR 1·08 [95% CI 1·05-1·10]; p<0·0001). INTERPRETATION Chlamydia and gonorrhoea incidence among gay and bisexual men using PrEP were highest in the early months of PrEP implementation in Australia and stabilised at slightly lower rates thereafter following wider PrEP uptake. Lower prospective STI risk among people initiating PrEP in later years contributed to the observed trends in STI incidence. Widespread PrEP implementation can contribute to increased STI screening and detection. FUNDING Australian Department of Health, National Health and Medical Research Council.
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Affiliation(s)
- Michael W Traeger
- Burnet Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
| | - Rebecca Guy
- Kirby Institute, UNSW Sydney, Sydney, NSW, Australia
| | | | - Prital Patel
- Kirby Institute, UNSW Sydney, Sydney, NSW, Australia
| | - Allison Carter
- Kirby Institute, UNSW Sydney, Sydney, NSW, Australia; Australian Human Rights Institute, UNSW Sydney, Sydney, NSW, Australia; Faculty of Health Sciences, Simon Fraser University, Vancouver, BC, Canada
| | - Edwina J Wright
- Burnet Institute, Melbourne, VIC, Australia; Department of Infectious Diseases, Alfred Health, Central Clinical School, Monash University, Melbourne, VIC, Australia; Peter Doherty Institute, Melbourne, VIC, Australia
| | | | | | - Christopher K Fairley
- Department of Infectious Diseases, Alfred Health, Central Clinical School, Monash University, Melbourne, VIC, Australia; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia
| | - Eric P F Chow
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Anna McNulty
- School of Population Health, UNSW Sydney, Sydney, NSW, Australia; Sydney Sexual Health Centre, Sydney, NSW, Australia
| | | | | | - Louise Owen
- Tasmanian Sexual Health Service, Hobart, TAS, Australia
| | - Lewis Marshall
- Sexual Health Service, Fremantle Hospital, Fremantle, WA, Australia; University of Notre Dame Australia, Fremantle, WA, Australia; University of Western Australia, Perth, WA, Australia
| | - Darren Russell
- Cairns Sexual Health Centre, Cairns, QLD, Australia; James Cook University, Cairns, QLD, Australia
| | - Darryl O'Donnell
- Australian Federation of AIDS Organisations, Sydney, NSW, Australia
| | - Basil Donovan
- Kirby Institute, UNSW Sydney, Sydney, NSW, Australia; Sydney Sexual Health Centre, Sydney, NSW, Australia
| | - Margaret E Hellard
- Burnet Institute, Melbourne, VIC, Australia; Department of Infectious Diseases, Alfred Health, Central Clinical School, Monash University, Melbourne, VIC, Australia; Peter Doherty Institute, Melbourne, VIC, Australia
| | - Mark A Stoové
- Burnet Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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16
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Ku-gaa-gii pimitizi-win, the COVID-19 cohort study of people experiencing homelessness in Toronto, Canada: a study protocol. BMJ Open 2022. [PMCID: PMC9361747 DOI: 10.1136/bmjopen-2022-063234] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
IntroductionInitial reports suggest people experiencing homelessness (PEH) are at high risk for SARS-CoV-2 infection and associated morbidity and mortality. However, there have been few longitudinal evaluations of the spread and impact of COVID-19 among PEH. This study will estimate the prevalence and incidence of COVID-19 infections in a cohort of PEH followed prospectively in Toronto, Canada. It will also examine associations between individual-level and shelter-level characteristics with COVID-19 infection, adverse health outcomes related to infection and vaccination. Finally, the data will be used to develop and parameterise a mathematical model to characterise SARS-CoV-2 transmission dynamics, and the transmission impact of interventions serving PEH.Design, methods and analysisKu-gaa-gii pimitizi-win will follow a random sample of PEH from across Toronto (Canada) for 12 months. 736 participants were enrolled between June and September 2021, and will be followed up at 3-month intervals. At each interval, specimens (saliva, capillary blood) will be collected to determine active SARS-CoV-2 infection and serologic evidence of past infection and/or vaccination, and a detailed survey will gather self-reported information, including a detailed housing history. To examine the association between individual-level and shelter-level characteristics on COVID-19-related infection, adverse outcomes, and vaccination, shelter and healthcare administrative data will be linked to participant study data. Healthcare administrative data will also be used to examine long-term (up to 5 years) COVID-19-related outcomes among participants.Ethics and disseminationEthical approval was obtained from the Unity Health Toronto and University of Toronto Health Sciences Research Ethics Boards (# 20-272). Ku-gaa-gii pimitizi-win was designed in collaboration with community and service provider partners and people having lived experience of homelessness. Findings will be reported to groups supporting Ku-gaa-gii pimitizi-win, Indigenous and other community partners and service providers, funding bodies, public health agencies and all levels of government to inform policy and public health programs.
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17
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Jones HS, Hensen B, Musemburi S, Chinyanganya L, Takaruza A, Chabata ST, Matambanadzo P, Rice B, Cowan FM, Hargreaves JR. Interpreting declines in HIV test positivity: an analysis of routine data from Zimbabwe's national sex work programme, 2009–2019. J Int AIDS Soc 2022; 25:e25943. [PMID: 35773959 PMCID: PMC9247303 DOI: 10.1002/jia2.25943] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 05/19/2022] [Indexed: 11/09/2022] Open
Abstract
Introduction Methods Results Conclusions
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Affiliation(s)
- Harriet S. Jones
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine London UK
| | - Bernadette Hensen
- Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine London UK
| | - Sithembile Musemburi
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe Harare Zimbabwe
| | - Lilian Chinyanganya
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe Harare Zimbabwe
| | - Albert Takaruza
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe Harare Zimbabwe
| | - Sungai T. Chabata
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe Harare Zimbabwe
| | | | - Brian Rice
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine London UK
| | - Frances M. Cowan
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe Harare Zimbabwe
- Faculty of Global Health, Liverpool School of Tropical Medicine Liverpool UK
| | - James R. Hargreaves
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine London UK
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18
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Roussos S, Paraskevis D, Psichogiou M, Kostaki EG, Flountzi E, Angelopoulos T, Chaikalis S, Papadopoulou M, Pavlopoulou ID, Malliori M, Hatzitheodorou E, Pylli M, Tsiara C, Paraskeva D, Beloukas A, Kalamitsis G, Hatzakis A, Sypsa V. Ongoing HIV transmission following a large outbreak among people who inject drugs in Athens, Greece (2014-20). Addiction 2022; 117:1670-1682. [PMID: 35072299 DOI: 10.1111/add.15812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 01/04/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND AIMS The human immunodeficiency virus (HIV) outbreak among people who inject drugs (PWID) in Athens, Greece in 2011-13 was the largest recent epidemic in Europe and North America. We aimed to assess trends in HIV prevalence, drug use and access to prevention among PWID in Athens to estimate HIV incidence and identify risk factors and to explore HIV-1 dispersal using molecular methods during 2014-20. METHODS Two community-based HIV/hepatitis C programmes on PWID were implemented in 2012-13 (n = 3320) and 2018-20 (n = 1635) through consecutive respondent-driven sampling (RDS) rounds. PWID were uniquely identified among rounds/programmes. We obtained RDS-weighted HIV prevalence estimates per round for 2018-20 and compared them to 2012-13. We assessed changes in HIV status, behaviours and access to prevention in PWID participating in both periods. We estimated HIV incidence in a cohort of seronegative PWID as the number of HIV seroconversions/100 person-years during 2014-20 and used Cox regression to identify associated risk factors. Molecular sequencing and phylogenetic analysis were performed in HIV seroconverters. RESULTS HIV prevalence per round ranged between 12.0 and 16.2% in 2012-13 and 10.7 and 11.3% in 2018-20 with overlapping 95% confidence intervals (95% CI). Among PWID participating in both programmes, HIV prevalence (95% CI) increased from 14.2% (11.7-17.1%) in 2012-13 to 22.0% (19.0-25.3%) in 2018-20 (P < 0.001). There was a deterioration in socio-economic characteristics such as homelessness [from 16.2% (95% CI = 13.5-19.2%) to 25.6% (22.3-29.0%)], a shift in cocaine use [16.6% (13.9-19.6%) versus 28.1% (24.7-31.7%], reduced access to free syringes [51.8% (48.0-55.7%) versus 44.5% (40.7-48.3%)] and a decrease in daily injecting [36.2% (32.6-39.9%) versus 28.5% (25.2-32.1%)]. HIV incidence (95% CI) in 2014-20 was 1.94 (1.50-2.52) new cases/100 person-years and younger age, lower educational level, larger injection network and daily injecting were risk factors. Almost 9% of HIV seroconversions occurred within a newly expanding phylogenetic cluster. CONCLUSIONS In Athens, Greece, compared with the period 2012-13, in the period 2018-20 there was a deterioration in socio-economic conditions among people who inject drugs, an increase in the use of cocaine, reduced access to needle and syringe programmes and stable low levels of human immunodeficiency virus testing. Ongoing human immunodeficiency virus transmission was documented during 2014-20 in existing as well as new transmission clusters.
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Affiliation(s)
- Sotirios Roussos
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Hellenic Scientific Society for the Study of AIDS, STDs and Emerging Diseases, Athens, Greece
| | - Dimitrios Paraskevis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Mina Psichogiou
- First Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Evangelia Georgia Kostaki
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Eleni Flountzi
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodoros Angelopoulos
- Hellenic Scientific Society for the Study of AIDS, STDs and Emerging Diseases, Athens, Greece
| | - Savvas Chaikalis
- Hellenic Scientific Society for the Study of AIDS, STDs and Emerging Diseases, Athens, Greece
| | - Martha Papadopoulou
- Hellenic Scientific Society for the Study of AIDS, STDs and Emerging Diseases, Athens, Greece.,First Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioanna D Pavlopoulou
- Pediatric Research Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece
| | - Meni Malliori
- Psychiatric Department, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Magdalini Pylli
- Hellenic National Public Health Organization, Marousi, Greece
| | - Chrissa Tsiara
- Hellenic National Public Health Organization, Marousi, Greece
| | | | - Apostolos Beloukas
- Department of Biomedical Sciences, University of West Attica, Athens, Greece.,Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
| | | | - Angelos Hatzakis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Hellenic Scientific Society for the Study of AIDS, STDs and Emerging Diseases, Athens, Greece
| | - Vana Sypsa
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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19
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Johannesson JM, Fridriksdottir RH, Löve TJ, Runarsdottir V, Hansdóttir I, Löve A, Thordardottir M, Hernandez UB, Olafsson S, Gottfredsson M. HIGH RATE OF HCV REINFECTION AMONG RECENTLY INJECTING DRUG USERS: RESULTS FROM THE TRAP HEP C PROGRAM - A PROSPECTIVE NATIONWIDE, POPULATION-BASED STUDY. Clin Infect Dis 2022; 75:1732-1739. [PMID: 35438144 DOI: 10.1093/cid/ciac272] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND The Treatment as Prevention for Hepatitis C program started in 2016 in Iceland, offering treatment with direct-acting antivirals to hepatitis C virus (HCV)-infected individuals. Reinfections through injection drug use (IDU) can hamper elimination efforts. We determined reinfection rates (RIR) of HCV among patients in the program. METHODS Clinical data were gathered prospectively. The study cohort consisted of HCV-cured patients with an estimated sustained virologic response between February 1st 2016 and November 20th 2018, with follow-up until November 20th 2019. The observation period and time until reinfection was estimated using a single random point imputation method coupled with Monte Carlo simulation. The RIR was expressed as reinfections/100 person-years (PYs). RESULTS 640 treatments of 614 patients (417 males, mean age 44.3 years) resulted in cure, with 52 reinfections subsequently confirmed in 50 patients (37 males). Follow-up was 672.1 PYs with median time to reinfection of 231.7 days. History of IDU was reported by 523 patients (84.8%) and recent IDU with 220 (34.4%) treatments. Stimulants were the preferred injected drug in 85.5% of patients with history of IDU. The RIR was 7.7/100 PYs. Using multivariate Cox proportional hazards models for interval-censored data, age (HR 0.96, 95% CI 0.94-0.99) and recent IDU (HR 2.91, 95% CI 1.48-5.76) were significantly associated with reinfection risk. CONCLUSIONS The RIR is high in a setting of widespread stimulant use, particularly in young people with recent IDU. Regular follow up is important among high-risk populations to diagnose reinfections early and reduce transmission.
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Affiliation(s)
- Jon M Johannesson
- Department of Internal Medicine, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Ragnheidur H Fridriksdottir
- Department of Gastroenterology and Hepatology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Thorvardur J Löve
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Science, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | | | | | - Arthur Löve
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Clinical Microbiology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Marianna Thordardottir
- Center for Health Security and Communicable Disease Control, Directorate of Health, Reykjavik, Iceland
| | - Ubaldo B Hernandez
- Department of Science, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Sigurdur Olafsson
- Department of Gastroenterology and Hepatology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Magnus Gottfredsson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Science, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland.,Department of Infectious Diseases, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
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20
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Xu X, Ge Z, Chow EPF, Yu Z, Lee D, Wu J, Ong JJ, Fairley CK, Zhang L. A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months. J Clin Med 2022; 11:jcm11071818. [PMID: 35407428 PMCID: PMC8999359 DOI: 10.3390/jcm11071818] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 03/18/2022] [Accepted: 03/23/2022] [Indexed: 11/16/2022] Open
Abstract
Background: More than one million people acquire sexually transmitted infections (STIs) every day globally. It is possible that predicting an individual’s future risk of HIV/STIs could contribute to behaviour change or improve testing. We developed a series of machine learning models and a subsequent risk-prediction tool for predicting the risk of HIV/STIs over the next 12 months. Methods: Our data included individuals who were re-tested at the clinic for HIV (65,043 consultations), syphilis (56,889 consultations), gonorrhoea (60,598 consultations), and chlamydia (63,529 consultations) after initial consultations at the largest public sexual health centre in Melbourne from 2 March 2015 to 31 December 2019. We used the receiver operating characteristic (AUC) curve to evaluate the model’s performance. The HIV/STI risk-prediction tool was delivered via a web application. Results: Our risk-prediction tool had an acceptable performance on the testing datasets for predicting HIV (AUC = 0.72), syphilis (AUC = 0.75), gonorrhoea (AUC = 0.73), and chlamydia (AUC = 0.67) acquisition. Conclusions: Using machine learning techniques, our risk-prediction tool has acceptable reliability in predicting HIV/STI acquisition over the next 12 months. This tool may be used on clinic websites or digital health platforms to form part of an intervention tool to increase testing or reduce future HIV/STI risk.
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Affiliation(s)
- Xianglong Xu
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia; (X.X.); (E.P.F.C.); (D.L.); (J.J.O.); (C.K.F.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia;
- China Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
| | - Zongyuan Ge
- Monash e-Research Centre, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Centre, Monash University, Melbourne, VIC 3800, Australia;
| | - Eric P. F. Chow
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia; (X.X.); (E.P.F.C.); (D.L.); (J.J.O.); (C.K.F.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia;
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3053, Australia
| | - Zhen Yu
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia;
- Monash e-Research Centre, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Centre, Monash University, Melbourne, VIC 3800, Australia;
| | - David Lee
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia; (X.X.); (E.P.F.C.); (D.L.); (J.J.O.); (C.K.F.)
| | - Jinrong Wu
- Research Centre for Data Analytics and Cognition, La Trobe University, Bundoora, VIC 3086, Australia;
| | - Jason J. Ong
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia; (X.X.); (E.P.F.C.); (D.L.); (J.J.O.); (C.K.F.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia;
- China Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
| | - Christopher K. Fairley
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia; (X.X.); (E.P.F.C.); (D.L.); (J.J.O.); (C.K.F.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia;
- China Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
| | - Lei Zhang
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC 3053, Australia; (X.X.); (E.P.F.C.); (D.L.); (J.J.O.); (C.K.F.)
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC 3800, Australia;
- China Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Correspondence:
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21
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Wilkinson AL, van Santen DK, Traeger MW, Sacks-Davis R, Asselin J, Scott N, Harney BL, Doyle JS, El-Hayek C, Howell J, Bramwell F, McManus H, Donovan B, Stoové M, Hellard M, Pedrana A. Hepatitis C incidence among patients attending primary care health services that specialise in the care of people who inject drugs, Victoria, Australia, 2009 to 2020. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2022; 103:103655. [PMID: 35349964 DOI: 10.1016/j.drugpo.2022.103655] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/27/2022] [Accepted: 03/10/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Monitoring trends in hepatitis C virus (HCV) incidence is critical for evaluating strategies aimed at eliminating HCV as a public health threat. We estimate HCV incidence and assess trends in incidence over time among primary care patients. METHODS Data were routinely extracted, linked electronic medical records from 12 primary care health services. Patients included were aged ≥16 years, tested HCV antibody negative on their first test recorded and had at least one subsequent HCV antibody or RNA test (January 2009-December 2020). HCV incident infections were defined as a positive HCV antibody or RNA test. A generalised linear model assessed the association between HCV incidence and calendar year. RESULTS In total, 6711 patients contributed 17,098 HCV test records, 210 incident HCV infections and 19,566 person-years; incidence was 1.1 per 100 person-years (95% confidence interval (CI): 0.9 to 1.2). Among 559 (8.2%) patients ever prescribed opioid-related pharmacotherapy (ORP) during the observation period, 135 infections occurred during 2,082 person-years (incidence rate of 6.5 per 100 person-years (95% CI: 5.4 to 7.7)). HCV incidence declined 2009-2020 overall (incidence rate ratio per calendar year 0.8 (95% CI: 0.8 to 0.9) and among patients ever prescribed ORT (incidence rate ratio per calendar year 0.9, 95% CI: 0.75 to 1.0). CONCLUSION HCV incidence declined among patients at primary care health services including among patients ever prescribed ORP and during the period following increased access to DAA therapy. SUMMARY Among a retrospective cohort of ∼6,700 primary care health services patients, this study estimated a hepatitis C virus (HCV) infection incidence of 1.1 per 100 person-years (95% confidence interval: 0.9 to 1.2). HCV infection incidence declined between 2009 and 2020.
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Affiliation(s)
- Anna Lee Wilkinson
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
| | - Daniela K van Santen
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Infectious Diseases, Research and Prevention, Public Health Service of Amsterdam, Amsterdam, the Netherlands
| | - Michael W Traeger
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rachel Sacks-Davis
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jason Asselin
- Disease Elimination Program, Burnet Institute, Melbourne, Australia
| | - Nick Scott
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Brendan L Harney
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Infectious Diseases, The Alfred and Monash University, Melbourne, Australia
| | - Joseph S Doyle
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; Department of Infectious Diseases, The Alfred and Monash University, Melbourne, Australia
| | - Carol El-Hayek
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jessica Howell
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Gastroenterology, St Vincent's Hospital, Melbourne, Australia; Department of Medicine, University of Melbourne, Melbourne, Australia
| | | | | | | | - Mark Stoové
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Margaret Hellard
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Infectious Diseases, The Alfred and Monash University, Melbourne, Australia; Doherty Institute and Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3000, Australia
| | - Alisa Pedrana
- Disease Elimination Program, Burnet Institute, Melbourne, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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22
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Schneider ALC, Gottesman RF, Krauss GL, Gugger J, Diaz-Arrastia R, Kucharska-Newton A, Huang J, Johnson EL. Association of Head Injury With Late-Onset Epilepsy: Results From the Atherosclerosis Risk in Communities Cohort. Neurology 2022; 98:e808-e817. [PMID: 34921108 PMCID: PMC8883511 DOI: 10.1212/wnl.0000000000013214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 11/30/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Late-onset epilepsy (LOE; i.e., epilepsy starting in later adulthood) affects a significant number of individuals. Head injury is also a risk factor for acquired epilepsy, but the degree to which prior head injury may contribute to LOE is less well understood. Our objective was to determine the association between head injury and subsequent development of LOE. METHODS Included were 8,872 participants enrolled in the Atherosclerosis Risk in Communities (ARIC) study with continuous Centers for Medicare Services fee-for-service (FFS) coverage (55.1% women, 21.6% Black). We identified head injuries through 2018 from linked Medicare fee for service claims for inpatient/emergency department care, active surveillance of hospitalizations, and participant self-report. LOE cases through 2018 were identified from linked Medicare FFS claims. We used Cox proportional hazards models to evaluate associations of head injury with LOE, adjusting for demographic, cardiovascular, and lifestyle factors. RESULTS The adjusted hazard ratio (HR) for developing LOE after a history of head injury was 1.88 (95% confidence interval [CI] 1.44-2.43). There was evidence for dose-response associations with greater risk for LOE with increasing number of prior head injuries (HR 1.37, 95% CI 1.01-1.88 for 1 prior head injury and HR 3.55, 95% CI 2.51-5.02 for 2+ prior head injuries, compared to no head injuries) and with more severe head injury (HR 2.53, 95% CI 1.83-3.49 for mild injury and HR 4.90, 95% CI 3.15-7.64 for moderate/severe injury, compared to no head injuries). Associations with LOE were significant for head injuries sustained at older age (age ≥67 years: HR 4.01, 95% CI 2.91-5.54), but not for head injuries sustained at younger age (age < 67 years: HR 0.98, 95% CI 0.68-1.41). DISCUSSION Head injury was associated with increased risk of developing LOE, particularly when head injuries were sustained at an older age, and there was evidence for higher risk for LOE after a greater number of prior head injuries and after more severe head injuries. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that an increased risk of late-onset epilepsy is associated with head injury and that this risk increases further with multiple and more severe head injuries.
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Affiliation(s)
- Andrea L C Schneider
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson.
| | - Rebecca F Gottesman
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson
| | - Gregory L Krauss
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson
| | - James Gugger
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson
| | - Ramon Diaz-Arrastia
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson
| | - Anna Kucharska-Newton
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson
| | - Juebin Huang
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson
| | - Emily L Johnson
- From the Department of Neurology (A.L.C.S., J.G., R.D.-A.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Stroke Branch (R.F.G.), National Institutes of Neurological Disorders and Stroke Intramural Research Program, Bethesda; Department of Neurology (G.L.K., E.L.J.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; Department of Epidemiology (A.K.-N.), University of Kentucky, Lexington; and Department of Neurology (J.H.), University of Mississippi Medical Center, Jackson
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Wilton J, Wong S, Purssell R, Abdia Y, Chong M, Karim ME, MacInnes A, Bartlett SR, Balshaw RF, Gomes T, Yu A, Alvarez M, Dart RC, Krajden M, Buxton JA, Janjua NZ. Association Between Prescription Opioid Therapy for Noncancer Pain and Hepatitis C Virus Seroconversion. JAMA Netw Open 2022; 5:e2143050. [PMID: 35019983 PMCID: PMC8756332 DOI: 10.1001/jamanetworkopen.2021.43050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Initiation of injection drug use may be more frequent among people dispensed prescription opioid therapy for noncancer pain, potentially increasing the risk of hepatitis C virus (HCV) acquisition. OBJECTIVE To assess the association between medically dispensed long-term prescription opioid therapy for noncancer pain and HCV seroconversion among individuals who were initially injection drug use-naive. DESIGN, SETTING, AND PARTICIPANTS A population-based, retrospective cohort study of individuals tested for HCV in British Columbia, Canada, with linkage to outpatient pharmacy dispensations, was conducted. Individuals with an initial HCV-negative test result followed by 1 additional test between January 1, 2000, and December 31, 2017, and who had no history of substance use at baseline (first HCV-negative test), were included. Participants were followed up from baseline to the last HCV-negative test or estimated date of seroconversion (midpoint between HCV-positive and the preceding HCV-negative test). EXPOSURES Episodes of prescription opioid use for noncancer pain were defined as acute (<90 days) or long-term (≥90 days). Prescription opioid exposure status (long-term vs prescription opioid-naive/acute) was treated as time-varying in survival analyses. In secondary analyses, long-term exposure was stratified by intensity of use (chronic vs. episodic) and by average daily dose in morphine equivalents (MEQ). MAIN OUTCOMES AND MEASURES Multivariable Cox regression models were used to assess the association between time-varying prescription opioid status and HCV seroconversion. RESULTS A total of 382 478 individuals who had more than 1 HCV test were included, of whom more than half were female (224 373 [58.7%]), born before 1974 (201 944 [52.8%]), and younger than 35 years at baseline (196 298 [53.9%]). Participants were followed up for 2 057 668 person-years and 1947 HCV seroconversions occurred. Of the participants, 41 755 people (10.9%) were exposed to long-term prescription opioid therapy at baseline or during follow-up. The HCV seroconversion rate per 1000 person-years was 0.8 among the individuals who were prescription opioid-naive/acute (1489 of 1947 [76.5%] seroconversions; 0.4% seroconverted within 5 years) and 2.1 with long-term prescription opioid therapy (458 of 1947 [23.5%] seroconversions; 1.1% seroconverted within 5 years). In multivariable analysis, exposure to long-term prescription opioid therapy was associated with a 3.2-fold (95% CI, 2.9-3.6) higher risk of HCV seroconversion (vs prescription opioid-naive/acute). In separate Cox models, long-term chronic use was associated with a 4.7-fold higher risk of HCV seroconversion (vs naive/acute use 95% CI, 3.9-5.8), and long-term higher-dose use (≥90 MEQ) was associated with a 5.1-fold higher risk (vs naive/acute use 95% CI, 3.7-7.1). CONCLUSIONS AND RELEVANCE In this cohort study of people with more than 1 HCV test, long-term prescription opioid therapy for noncancer pain was associated with a higher risk of HCV seroconversion among individuals who were injection drug use-naive at baseline or at prescription opioid initiation. These results suggest injection drug use initiation risk is higher among people dispensed long-term therapy and may be useful for informing approaches to identify and prevent HCV infection. These findings should not be used to justify abrupt discontinuation of long-term therapy, which could increase risk of harms.
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Affiliation(s)
- James Wilton
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Stanley Wong
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Roy Purssell
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- Department of Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Younathan Abdia
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mei Chong
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Mohammad Ehsanul Karim
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Health Evaluation & Outcome Sciences, St Paul's Hospital Vancouver, British Columbia, Canada
| | - Aaron MacInnes
- Pain Management Clinic, Jim Pattison Outpatient Care & Surgical Centre, Fraser Health Authority, Surrey, British Columbia, Canada
- Department of Anesthesiology, Pharmacology & Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sofia R. Bartlett
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Rob F. Balshaw
- George and Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Tara Gomes
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Amanda Yu
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Maria Alvarez
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Richard C. Dart
- Rocky Mountain Poison and Drug Safety, Denver Health and Hospital Authority, Denver, Colorado
- Department of Emergency Medicine, University of Colorado Health Sciences Center, Denver
| | - Mel Krajden
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jane A. Buxton
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Naveed Z. Janjua
- British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Health Evaluation & Outcome Sciences, St Paul's Hospital Vancouver, British Columbia, Canada
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24
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Madathil S, Siqueira WL, Marin LM, Sanaulla FB, Faraj N, Quiñonez CR, McNally M, Glogauer M, Allison P. The incidence of COVID-19 among dentists practicing in the community in Canada: A prospective cohort study over a six-month period. J Am Dent Assoc 2021; 153:450-459.e1. [PMID: 35241268 PMCID: PMC8565357 DOI: 10.1016/j.adaj.2021.10.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 11/28/2022]
Abstract
Background Oral health care settings carry a potentially high risk of causing cross-infection between dentists and patients and among dental staff members due to close contact and use of aerosol-generating procedures. The authors aimed to estimate COVID-19 incidence rates among Canadian dentists over a 6-month period. Methods The authors conducted a prospective cohort study of 644 licensed dentists across Canada from July 29, 2020, through February 12, 2021. An online questionnaire, adapted from the World Health Organization’s Unity Studies protocols for assessment of COVID-19 risk among health care workers, was used to collect data on self-reported severe acute respiratory syndrome coronavirus 2 infections every 4 weeks. A bayesian Poisson model was used to estimate the incidence rate and corresponding 95% credible intervals (CIs). Results Median age of participants was 47 years; most participants were women (56.4%) and general practitioners (90.8%). Median follow-up time was 188 days. Six participants reported COVID-19 infections during the study period, giving an incidence rate of 5.10 per 100,000 person-days (95% CI, 1.86 to 9.91 per 100,000 person-days). The incidence proportion was estimated to be 1,084 per 100,000 dentists (95% CI, 438 to 2,011 per 100,000 dentists) and 1,864 per 100,000 people (95% CI, 1,859 to 1,868 per 100,000 people) in the Canadian population during the same period. Conclusions The low infection rate observed among Canadian dentists from July 29, 2020, through February 12, 2021, should be reassuring to the dental and general community. Practical Implications Although the infection rates were low among Canadian dentists, it is important to continue to collect disease surveillance data.
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Schneider ALC, Selvin E, Latour L, Turtzo LC, Coresh J, Mosley T, Ling G, Gottesman RF. Head injury and 25-year risk of dementia. Alzheimers Dement 2021; 17:1432-1441. [PMID: 33687142 PMCID: PMC9422954 DOI: 10.1002/alz.12315] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 11/01/2020] [Accepted: 01/29/2021] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Head injury is associated with significant morbidity and mortality. Long-term associations of head injury with dementia in community-based populations are less clear. METHODS Prospective cohort study of 14,376 participants (mean age 54 years at baseline, 56% female, 27% Black, 24% with head injury) enrolled in the Atherosclerosis Risk in Communities (ARIC) Study. Head injury was defined using self-report and International Classification of Diseases, Ninth/Tenth Revision (ICD-9/10) codes. Dementia was defined using cognitive assessments, informant interviews, and ICD-9/10 and death certificate codes. RESULTS Head injury was associated with risk of dementia (hazard ratio [HR] = 1.44, 95% confidence interval [CI] = 1.3-1.57), with evidence of dose-response (1 head injury: HR = 1.25, 95% CI = 1.13-1.39, 2+ head injuries: HR = 2.14, 95% CI = 1.86-2.46). There was evidence for stronger associations among female participants (HR = 1.69, 95% CI = 1.51-1.90) versus male participants (HR = 1.15, 95% CI = 1.00-1.32), P-for-interaction < .001, and among White participants (HR = 1.55, 95% CI = 1.40-1.72) versus Black participants (HR = 1.22, 95% CI = 1.02-1.45), P-for-interaction = .008. DISCUSSION In this community-based cohort with 25-year follow-up, head injury was associated with increased dementia risk in a dose-dependent manner, with stronger associations among female participants and White participants.
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Affiliation(s)
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | | | | | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | - Thomas Mosley
- Department of Medicine, University of Mississippi Medical Center
| | - Geoffrey Ling
- Department of Neurology, Uniformed Services University of the Health Sciences
- Department of Neurology, Johns Hopkins University School of Medicine
| | - Rebecca F. Gottesman
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
- Department of Neurology, Johns Hopkins University School of Medicine
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Abstract
HIV incidence has recently been in decline across some of the most intense epidemics in sub-Saharan Africa due to the scale-up of prevention and transmission-blocking treatments. Understanding whether declines in incidence are being felt equally across age and gender can help prioritize demographic groups where more effort is needed to lower transmission. We found that HIV incidence has declined disproportionately in the youngest men and women in a population with the highest HIV prevalence in the world. Shifts in the age distribution of risk may be the consequence of aging prevalence, prioritized prevention to younger individuals, and delays in age at infection from reduced overall force of infection. Our results highlight the need to expand age targets for HIV prevention. Recent declines in adult HIV-1 incidence have followed the large-scale expansion of antiretroviral therapy and primary HIV prevention across high-burden communities of sub-Saharan Africa. Mathematical modeling suggests that HIV risk will decline disproportionately in younger adult age-groups as interventions scale, concentrating new HIV infections in those >age 25 over time. Yet, no empirical data exist to support these projections. We conducted a population-based cohort study over a 16-y period (2004 to 2019), spanning the early scale-up of antiretroviral therapy and voluntary medical male circumcision, to estimate changes in the age distribution of HIV incidence in a hyperepidemic region of KwaZulu-Natal, South Africa, where adult HIV incidence has recently declined. Median age of HIV seroconversion increased by 5.5 y in men and 3.0 y in women, and the age of peak HIV incidence increased by 5.0 y in men and 2.0 y in women. Incidence declined disproportionately among young men (64% in men 15 to 19, 68% in men 20 to 24, and 46% in men 25 to 29) and young women (44% in women 15 to 19, 24% in women 20 to 24) comparing periods pre- versus post-universal test and treat. Incidence was stable (<20% change) in women aged 30 to 39 and men aged 30 to 34. Age shifts in incidence occurred after 2012 and were observed earlier in men than in women. These results provide direct epidemiological evidence of the changing demographics of HIV risk in sub-Saharan Africa in the era of large-scale treatment and prevention. More attention is needed to address lagging incidence decline among older individuals.
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27
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Chabata ST, Hensen B, Chiyaka T, Mushati P, Musemburi S, Dirawo J, Busza J, Floyd S, Birdthistle I, Hargreaves JR, Cowan FM. The impact of the DREAMS partnership on HIV incidence among young women who sell sex in two Zimbabwean cities: results of a non-randomised study. BMJ Glob Health 2021; 6:bmjgh-2020-003892. [PMID: 33906844 PMCID: PMC8088246 DOI: 10.1136/bmjgh-2020-003892] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 03/06/2021] [Accepted: 03/16/2021] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Young women who sell sex (YWSS) in Zimbabwe remain at high risk of HIV infection. Effective HIV prevention strategies are needed. Through support to access a combination of evidence-based interventions, including oral pre-exposure prophylaxis (PrEP), the Determined, Resilient, Empowered, AIDS-free, Mentored and Safe (DREAMS) partnership aimed to reduce new HIV infections among adolescent girls and young women by 40% over 24 months. METHODS Non-randomised 'plausibility' evaluation, powered to detect a 40% HIV incidence difference between DREAMS and non-DREAMS sites. Two large cities with DREAMS funding were included, and four smaller non-DREAMS towns for comparison. In all sites, YWSS were enrolled to a cohort through peer-referral. Women were followed up for 24 months. HIV seroconversion was the primary outcome, with secondary outcomes identified through a theory of change. Outcomes were compared between YWSS recruited in DREAMS cities and non-DREAMS towns, adjusting for individual-level confounders and HIV prevalence at enrolment. RESULTS From April to July 2017, 2431 women were enrolled, 1859 of whom were HIV negative at enrolment; 1019 of these women (54.8%) were followed up from March to May 2019 and included in endline analysis. Access to clinical services increased, but access to socioeconomic interventions promoted by DREAMS was limited. A total of 79 YWSS HIV seroconverted, with HIV incidence among YWSS in DREAMS cities lower (3.1/100 person-years) than in non-DREAMS towns (5.3/100 person-years). In prespecified adjusted analysis, HIV incidence was lower in DREAMS cities but with weak statistical evidence (adjusted rate ratio (RR)=0.68; 95% CI 0.40 to 1.19; p=0.18). Women in DREAMS cities were more likely to report ever and ongoing PrEP use, consistent condom use, fewer sexual partners and less intimate partner violence. CONCLUSION It is plausible that DREAMS lowered HIV incidence among YWSS in two Zimbabwean cities, but our evaluation provides weak statistical evidence for impact and suggests any reduction in incidence was lower than the anticipated 40% decline. We identified changes to some important 'pathways to impact' variables, including condom use.
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Affiliation(s)
- Sungai T Chabata
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe .,Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bernadette Hensen
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Tarisai Chiyaka
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe
| | - Phillis Mushati
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe
| | - Sithembile Musemburi
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe
| | - Jeffrey Dirawo
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe
| | - Joanna Busza
- Centre for Evaluation, London School of Hygiene & Tropical Medicine, London, UK
| | - Sian Floyd
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Isolde Birdthistle
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - James R Hargreaves
- Centre for Evaluation, London School of Hygiene & Tropical Medicine, London, UK
| | - Frances M Cowan
- Centre for Sexual Health and HIV/AIDS Research (CeSHHAR) Zimbabwe, Harare, Zimbabwe.,Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK
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Trends in HIV incidence between 2013-2019 and association of baseline factors with subsequent incident HIV among gay, bisexual, and other men who have sex with men attending sexual health clinics in England: A prospective cohort study. PLoS Med 2021; 18:e1003677. [PMID: 34143781 PMCID: PMC8253400 DOI: 10.1371/journal.pmed.1003677] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 07/02/2021] [Accepted: 06/01/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Prospective cohort studies of incident HIV and associated factors among gay, bisexual, and other men who have sex with men (GBMSM) in the United Kingdom are lacking. We report time trends in and factors associated with HIV incidence between 2013 and 2019 among a cohort of GBMSM: the AURAH2 prospective study. METHODS AND FINDINGS Participants were recruited through 1 of 3 sexual health clinics in London and Brighton (July 2013 to April 2016) and self-completed a baseline paper questionnaire and subsequent 4-monthly and annual online questionnaires (March 2015 to March 2018), including information on sociodemographics, lifestyle, health and well-being, HIV status, sexual/HIV-related behaviours, and preexposure prophylaxis and postexposure prophylaxis (PrEP/PEP). Incident HIV was ascertained by linkage with national HIV surveillance data from Public Health England (PHE). We investigated the associations of HIV incidence with (1) baseline factors using mixed-effects Weibull proportional hazard models, unadjusted and adjusted for age, country of birth and ethnicity, sexuality, and education level; and (2) time-updated factors, using mixed-effects Poisson regression models. In total, 1,162 men (mean age 34 years, 82% white, 94% gay, 74% university-educated) were enrolled in the study. Thirty-three HIV seroconversions occurred over 4,618.9 person-years (PY) of follow-up: an overall HIV incidence rate (IR) of 0.71 (95% confidence interval (CI) 0.51 to 1.00) per 100 PY. Incidence declined from 1.47 (95% CI 0.48 to 4.57) per 100 PY in 2013/2014 to 0.25 (95% CI 0.08 to 0.78) per 100 PY in 2018/2019; average annual decline was 0.85-fold (p < 0.001). Baseline factors associated with HIV acquisition included the following: injection drug use (6/38 men who reported injection drug-acquired HIV; unadjusted conditional hazard ratio (HR) 27.96, 95% CI 6.99 to 111.85, p < 0.001), noninjection chemsex-related drug use (13/321; HR 6.45, 95% CI 1.84 to 22.64, p < 0.001), condomless anal sex (CLS) (26/741; HR 3.75, 95% CI 1.31 to 10·74, p = 0.014); higher number of CLS partners (HRs >10 partners [7/57]; 5 to 10 partners [5/60]; and 2 to 4 partners [11/293]: 14.04, 95% CI 4.11 to 47.98; 9.60, 95% CI 2.58 to 35.76; and 4.05, 95% CI 1.29 to 12.72, respectively, p < 0.001); CLS with HIV-positive partners (14/147; HR 6.45, 95% CI 3.15 to 13.22, p < 0.001), versatile CLS role (21/362; HR 6.35, 95% CI 2.18 to 18.51, p < 0.001), group sex (64/500; HR 8.81, 95% CI 3.07 to 25.24, p < 0.001), sex for drugs/money (4/55, HR 3.27, 95% CI 1.14 to 9.38, p = 0.027) (all in previous 3 months); previous 12-month report of a bacterial sexually transmitted infection (STI) diagnoses (21/440; HR 3.95, 95% CI 1.81 to 8.63, p < 0.001), and more than 10 new sexual partners (21/471, HRs 11 to 49, 50 to 99, and >100 new partners: 3.17, 95% CI 1.39 to 7.26; 4.40, 95% CI 1.35 to 14.29; and 4.84, 95% CI 1.05 to 22.4, respectively, p < 0.001). Results were broadly consistent for time-updated analysis (n = 622 men). The study's main limitation is that men may not be representative of the broader GBMSM population in England. CONCLUSIONS We observed a substantial decline in HIV incidence from 2013 to 2019 among GBMSM attending sexual health clinics. Injection drug use, chemsex use, and measures of high-risk sexual behaviour were strongly associated with incident HIV. Progress towards zero new infections could be achieved if combination HIV prevention including Test and Treat strategies and routine commissioning of a PrEP programme continues across the UK and reaches all at-risk populations.
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Heidari ME, Nadali J, Parouhan A, Azarafraz M, Tabatabai SM, Irvani SSN, Eskandari F, Gharebaghi A. Prevalence of depression among amyotrophic lateral sclerosis (ALS) patients: A systematic review and meta-analysis. J Affect Disord 2021; 287:182-190. [PMID: 33799036 DOI: 10.1016/j.jad.2021.03.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/03/2021] [Accepted: 03/05/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) people have a high risk of severe mental disorders, like depression, which impacts their function, quality of life, and mobility. However, there are no estimates of depression based paper published. This study aimed conduct a systematic review and meta-analysis of the prevalence of depression in ALS patients around the world. METHODS PubMed/Medline, Web of science, Scopus, Embase, and Ovid are searched to identify papers that reporting the prevalence of depression. Studies are included in random-effects meta-analyses of the prevalence of depression. Subgroup analyses are performed on the severity of depression, instruments of depression, type of studies, and study regions. RESULTS 46 eligible studies reported prevalence of depression. The pooled prevalence of depression among ALS people was 34% (27%-41%). According to the severity of depression, mild, moderate, and severe depression were 29%, 16%, and 8%, respectively. For studies using BDI, PHQ, and HADS, the pooled prevalence of depression was 50%, 20%, and 15%, respectively. CONCLUSIONS ALS people have a high prevalence of depression. The high prevalence of depression causes a reduction of quality of life and mobility. The study identifies a population group at high risk needing special attention in clinical practice.
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Affiliation(s)
| | - Javad Nadali
- School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.
| | - Ali Parouhan
- Student 's scientific research center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Theran, Iran.
| | - Mahdi Azarafraz
- Young Researchers Elite Club, Islamic Azad University Tehran Medical Branch, Tehran, Iran.
| | | | - Seyed Sina Naghibi Irvani
- Research Institute for Endocrine Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Fereshte Eskandari
- Student 's scientific research center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Theran, Iran.
| | - Alireza Gharebaghi
- Neurophysiology Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
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Manne-Goehler J, Baisley K, Vandormael A, Bärnighausen T, Tanser F, Herbst K, Pillay D, Siedner MJ. BMI and All-Cause Mortality in a Population-Based Cohort in Rural South Africa. Obesity (Silver Spring) 2020; 28:2414-2423. [PMID: 33070472 PMCID: PMC7686076 DOI: 10.1002/oby.23005] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 07/19/2020] [Accepted: 07/26/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE This study evaluates the association between BMI and all-cause and cause-specific mortality in South Africa. METHODS Prospective, population-based observational cohort data from rural South Africa were analyzed. BMI was measured in 2010. Demographic characteristics were recorded and deaths were verified with verbal autopsy interview. The InterVA-5 tool was used to assign causes of death. HIV testing was conducted annually. Cox proportional hazards models were fit to estimate the effect of BMI on all-cause and cause-specific mortality, accounting for the competing risk of death from other causes. Models were adjusted for sociodemographic characteristics and HIV status, and inverse probability weighting for survey nonparticipation was used. RESULTS The cohort consisted of 9,728 individuals. In adjusted models, those with BMI of 25.0 to 29.9 kg/m2 or 30.0 to 34.9 kg/m2 had a lower hazard of death (adjusted hazard ratio: 0.80; 95% CI: 0.69-0.92 and adjusted hazard ratio: 0.75; 95% CI: 0.60-0.93, respectively) compared with those with BMI of 18.5 to 24.9 kg/m2 . CONCLUSIONS Individuals in South Africa who meet clinically defined criteria for overweight or obesity had a lower risk of all-cause mortality than those with a normal BMI. These findings were stronger for women and communicable conditions.
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Affiliation(s)
- Jennifer Manne-Goehler
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
- Massachusetts General Hospital Medical Practice Evaluation Center, Boston, MA
| | - Kathy Baisley
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Africa Health Research Institute, KwaZulu-Natal, South Africa
| | - Alain Vandormael
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), UKZN, South Africa
| | - Till Bärnighausen
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Heidelberg Institute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany
- Department of Global Health and Population and Harvard Center Population and Development, Harvard School of Public Health, Boston, USA
| | - Frank Tanser
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Lincoln International Institute for Rural Health , University of Lincoln, Lincoln, UK
- School of Nursing and Public Health, University of KwaZulu-Natal, South Africa
| | - Kobus Herbst
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- SAPRIN, South African Medical Research Council, Cape Town, South Africa
| | - Deenan Pillay
- Africa Health Research Institute, KwaZulu-Natal, South Africa
| | - Mark J. Siedner
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Harvard Medical School, Boston, MA
- Massachusetts General Hospital Medical Practice Evaluation Center, Boston, MA
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Vandormael A, Cuadros D, Dobra A, Bärnighausen T, Tanser F. HIV incidence declines in a rural South African population: a G-imputation approach for inference. BMC Public Health 2020; 20:1205. [PMID: 32762668 PMCID: PMC7409400 DOI: 10.1186/s12889-020-09193-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 07/01/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Ad hoc assumptions about the unobserved infection event, which is known only to occur between the latest-negative and earliest-positive test dates, can lead to biased HIV incidence rate estimates. Using a G-imputation approach, we infer the infection dates from covariate data to estimate the HIV incidence rate in a hyper-endemic South African setting. METHODS A large demographic surveillance system has annually tested a cohort of HIV-uninfected participants living in the KwaZulu-Natal province. Using this data, we estimated a cumulative baseline hazard function and the effects of time-dependent covariates on the interval censored infection dates. For each HIV-positive participant in the cohort, we derived a cumulative distribution function and sampled multiple infection dates conditional on the unique covariate values. We right censored the data at the imputed dates, calculated the annual HIV incidence rate per 100 person-years, and used Rubin's rules to obtain the 95% confidence intervals. RESULTS A total of 20,011 uninfected individuals with a repeat HIV test participated in the incidence cohort between 2005 and 2018. We observed 2,603 infections per 58,769 person-years of follow-up among women and 845 infections per 41,178 person-years of follow-up among men. Conditional on age and circumcision status (men only), the female HIV incidence rate declined by 25%, from 5.0 to 3.7 infections per 100 person-years between 2014 and 2018. During this period, the HIV incidence rate among men declined from 2.1 to 1.1 infections per 100 person-years-a reduction of 49%. We observed similar reductions in male and female HIV incidence conditional on condom-use, marital status, urban residential status, migration history, and the HIV prevalence in the surrounding community. CONCLUSION We have followed participants in one of the world's largest and longest running HIV cohorts to estimate long-term trends in the population-wide incidence of infection. Using a G-imputation approach, we present further evidence for HIV incidence rate declines in this hyper-endemic South African setting.
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Affiliation(s)
- Alain Vandormael
- Africa Health Research Institute (AHRI), Durban, South Africa. .,Heidelberg Institute of Global Health, University of Heidelberg, 130.3 Im Neuenheimer Feld, Heidelberg, 69115, Germany. .,KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal (UKZN), Durban, South Africa.
| | - Diego Cuadros
- Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, USA
| | - Adrian Dobra
- Department of Statistics, Center for Statistics and the Social Sciences, and Center for Studies in Demography and Ecology, University of Washington, Seattle, USA
| | - Till Bärnighausen
- Africa Health Research Institute (AHRI), Durban, South Africa.,Heidelberg Institute of Global Health, University of Heidelberg, 130.3 Im Neuenheimer Feld, Heidelberg, 69115, Germany.,Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Frank Tanser
- Africa Health Research Institute (AHRI), Durban, South Africa.,Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, UK.,School of Nursing and Public Health, UKZN, Durban, South Africa.,Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
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Desai M, White E, Vora N, Gilson R, Lacey C, Gafos M, Clarke A, Sullivan A, White D, Fox J, Piontkowsky D, McCormack S, Dunn DT. High incidence of Hepatitis C virus infection observed in the PROUD study of HIV pre-exposure prophylaxis. J Viral Hepat 2020; 27:852-857. [PMID: 32243033 PMCID: PMC8432138 DOI: 10.1111/jvh.13297] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 02/13/2020] [Accepted: 03/17/2020] [Indexed: 01/22/2023]
Affiliation(s)
- Monica Desai
- MRC Clinical Trials Unit at UCLLondonUK
- Present address:
National Institute for Health and Care ExcellenceManchesterUK
| | | | - Nina Vora
- UCL Centre for Clinical Research in Infection and Sexual HealthInstitute for Global HealthThe Mortimer Market CentreLondonUK
| | - Richard Gilson
- UCL Centre for Clinical Research in Infection and Sexual HealthInstitute for Global HealthThe Mortimer Market CentreLondonUK
| | | | - Mitzy Gafos
- MRC Clinical Trials Unit at UCLLondonUK
- Present address:
London School of Hygiene and Tropical MedicineLondonUK
| | - Amanda Clarke
- Brighton and Hove Sexual Health & Contraception CentreRoyal Sussex County HospitalBrightonUK
| | - Ann Sullivan
- Chelsea and Westminster NHS Foundation TrustLondonUK
| | - David White
- Heart of England NHS Foundation TrustBirminghamUK
| | - Julie Fox
- Guy’s and St Thomas’ NHS Foundation TrustLondonUK
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Missed Study Visits and Subsequent HIV Incidence Among Women in a Predominantly Sex Worker Cohort Attending a Dedicated Clinic Service in Kampala, Uganda. J Acquir Immune Defic Syndr 2020; 82:343-354. [PMID: 31658178 DOI: 10.1097/qai.0000000000002143] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND There is limited evidence on the relationship between sustained exposure of female sex workers (FSWs) to targeted HIV programmes and HIV incidence. We investigate the relationship between the number of missed study visits (MSVs) within each episode of 2 consecutively attended visits (MSVs) and subsequent HIV risk in a predominantly FSW cohort. METHODS Women at high risk of HIV are invited to attend an ongoing dedicated clinic offering a combination HIV prevention intervention in Kampala, Uganda. Study visits are scheduled once every 3 months. The analysis included HIV-seronegative women with ≥1 follow-up visit from enrollment (between April 2008 and May 2017) to August 2017. Cox regression models were fitted adjusted for characteristics on sociodemographic, reproductive, behavioral, and sexually transmitted infections (through clinical examination and serological testing for syphilis). FINDINGS Among 2206 participants, HIV incidence was 3.1/100 (170/5540) person-years [95% confidence interval (CI): 2.6 to 3.5]. Incidence increased from 2.6/100 person-years (95% CI: 2.1 to 3.2) in episodes without a MSV to 3.0/100 (95% CI: 2.2 to 4.1) for 1-2 MSVs and 4.3/100 (95% CI: 3.3 to 5.6) for ≥3 MSVs. Relative to episodes without a MSV, the hazard ratios (adjusted for confounding variables) were 1.40 (95% CI: 0.93 to 2.12) for 1-2 MSVs and 2.00 (95% CI: 1.35 to 2.95) for ≥3 MSVs (P-trend = 0.001). CONCLUSION Missing study visits was associated with increased subsequent HIV risk. Although several factors may underlie this association, the finding suggests effectiveness of targeted combination HIV prevention. But exposure to targeted interventions needs to be monitored, facilitated, and sustained in FSWs.
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Human Immunodeficiency Virus Incidence Among Women at High-Risk of Human Immunodeficiency Virus Infection Attending a Dedicated Clinic in Kampala, Uganda: 2008-2017. Sex Transm Dis 2020; 46:407-415. [PMID: 31095103 DOI: 10.1097/olq.0000000000000978] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND High attrition and irregular testing for human immunodeficiency virus (HIV) in cohort studies for high-risk populations can bias incidence estimates. We compare incidence trends for high-risk women attending a dedicated HIV prevention and treatment clinic, using common methods for assigning when seroconversion occurs and whether seroconversion occurs among those with attrition. METHODS Between April 2008 and May 2009, women were enrolled into cohort 1 and from January 2013 into cohort 2, then scheduled for follow-up once every 3 months. Incidence trends based on assuming a midpoint in the seroconversion interval were compared with those of assigning a random-point. We also compared estimates based on the random-point with and without multiple imputation (MI) of serostatuses for participants with attrition. RESULTS By May 2017, 3084 HIV-negative women had been enrolled with 18,364 clinic visits. Before attrition, 27.6% (6990 of 25,354) were missed visits. By August 2017, 65.8% (426 of 647) of those enrolled in cohort 1 and 49.0% (1194 of 2437) in cohort 2 were defined with attrition. Among women with 1 or more follow-up visit, 93 of 605 in cohort 1 and 77 of 1601 in cohort 2 seroconverted. Periods with longer seroconversion intervals appeared to have noticeable differences in incidences when comparing the midpoint and random-point values. The MI for attrition is likely to have overestimated incidence after escalated attrition of participants. Based on random-point without MI for attrition, incidence at end of observation was 3.8/100 person-years in cohort 1 and 1.8/100 in cohort 2. CONCLUSIONS The random-point approach attenuated variation in incidence observed using midpoint. The high incidence after years of ongoing prevention efforts in this vulnerable population should be investigated to further reduce incidence.
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Tanser F, Kim HY, Vandormael A, Iwuji C, Bärnighausen T. Opportunities and Challenges in HIV Treatment as Prevention Research: Results from the ANRS 12249 Cluster-Randomized Trial and Associated Population Cohort. Curr HIV/AIDS Rep 2020; 17:97-108. [PMID: 32072468 PMCID: PMC7072051 DOI: 10.1007/s11904-020-00487-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW The ANRS 12249 treatment as prevention (TasP) trial investigated the impact of a universal test and treat (UTT) approach on reducing HIV incidence in one of the regions of the world most severely affected by the HIV epidemic-KwaZulu-Natal, South Africa. We summarize key findings from this trial as well as recent findings from controlled studies conducted in the linked population cohort quantifying the long-term effects of expanding ART on directly measured HIV incidence (2004-2017). RECENT FINDINGS The ANRS TasP trial did not-and could not-demonstrate a reduction in HIV incidence, because the offer of UTT in the intervention communities did not increase ART coverage and population viral suppression compared to the standard of care in the control communities. Ten controlled studies from the linked population cohort-including several quasi-experimental study designs-exploit heterogeneity in ART exposure to show a consistent and substantial impact of expanding provision of ART and population viral suppression on reduction in HIV incidence at the couple, household, community, and population levels. In this setting, all of the evidence from large, population-based studies (inclusive of the ANRS TasP trial) is remarkably coherent and consistent-i.e., higher ART coverage and population viral suppression were repeatedly associated with clear, measurable decreases in HIV incidence. Thus, the expanded provision of ART has plausibly contributed in a major way toward the dramatic 43% decline in population-level HIV incidence in this typical rural African population. The outcome of the ANRS TasP trial constitutes a powerful null finding with important insights for overcoming implementation challenges in the population delivery of ART. This finding does not imply lack of ART effectiveness in blocking onward transmission of HIV nor its inability to reduce HIV incidence. Rather, it demonstrates that large increases in ART coverage over current levels will require health systems innovations to attract people living with HIV in early stages of the disease to participate in HIV treatment. Such innovations and new approaches are required for the true potential of UTT to be realized.
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Affiliation(s)
- Frank Tanser
- Lincoln Institute for Health, University of Lincoln, Lincoln, LN6 7TS, UK.
- Africa Health Research Institute, KwaZulu-Natal, South Africa.
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.
| | - Hae-Young Kim
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Department of Population Health, New York University School of Medicine, New York, USA
- KwaZulu-Natal Innovation and Sequencing Platform, Durban, KwaZulu-Natal, South Africa
| | - Alain Vandormael
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- KwaZulu-Natal Innovation and Sequencing Platform, Durban, KwaZulu-Natal, South Africa
- Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, University of Heidelberg, Heidelberg, Germany
| | - Collins Iwuji
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Till Bärnighausen
- Africa Health Research Institute, KwaZulu-Natal, South Africa
- Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, University of Heidelberg, Heidelberg, Germany
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Vandormael A, Cuadros D, Kim HY, Bärnighausen T, Tanser F. The state of the HIV epidemic in rural KwaZulu-Natal, South Africa: a novel application of disease metrics to assess trajectories and highlight areas for intervention. Int J Epidemiol 2020; 49:666-675. [PMID: 31930292 PMCID: PMC7266544 DOI: 10.1093/ije/dyz269] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 12/06/2019] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND South Africa is at the epicentre of the HIV pandemic, with the world's highest number of new infections and the largest treatment programme. Using metrics proposed by the Joint United Nations Programme on AIDS (UNAIDS), we evaluate progress toward epidemic control and highlight areas for intervention in a hyperendemic South African setting. METHODS The Africa Health Research Institute (AHRI) maintains a comprehensive population-based surveillance system in the Hlabisa sub-district of KwaZulu-Natal. Between 2005 and 2017, we tested 39 735 participants (aged 15-49 years) for HIV and followed 22 758 HIV-negative and 13 460 HIV-positive participants to identify new infections and all-cause AIDS-related deaths, respectively. Using these data, we estimated the percentage reduction in incidence, the absolute incidence rate, the incidence-mortality ratio and the incidence-prevalence ratio over place and time. RESULTS We observed a 62% reduction in the number of new infections among men between 2012 and 2017 and a 34% reduction among women between 2014 and 2017. Among men, the incidence-mortality ratio peaked at 4.1 in 2013 and declined to 3.1 in 2017, and among women it fell from a high of 6.4 in 2014 to 4.3 in 2017. Between 2012 and 2017, the female-incidence/male-prevalence ratio declined from 0.24 to 0.13 and the male-incidence/female-prevalence ratio from 0.05 to 0.02. CONCLUSIONS Using data from a population-based cohort study, we report impressive progress toward HIV epidemic control in a severely affected South African setting. However, overall progress is off track for 2020 targets set by the UNAIDS. Spatial estimates of the metrics, which demonstrate remarkable heterogeneity over place and time, indicate areas that could benefit from additional or optimized HIV prevention services.
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Affiliation(s)
- Alain Vandormael
- Africa Health Research Institute (AHRI), KwaZulu-Natal, Durban, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal (UKZN), Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), UKZN, Durban, South Africa
- Heidelberg Institute of Global Health, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Diego Cuadros
- Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, USA
| | - Hae-Young Kim
- Africa Health Research Institute (AHRI), KwaZulu-Natal, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), UKZN, Durban, South Africa
- Department of Population Health, New York University School of Medicine, New York, USA
| | - Till Bärnighausen
- Africa Health Research Institute (AHRI), KwaZulu-Natal, Durban, South Africa
- Heidelberg Institute of Global Health, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank Tanser
- Africa Health Research Institute (AHRI), KwaZulu-Natal, Durban, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal (UKZN), Durban, South Africa
- Lincoln Institute for Health, University of Lincoln, Lincoln, UK
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), UKZN, Durban, South Africa
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Mogeni P, Vandormael A, Cuadros D, Appleton C, Tanser F. Impact of community piped water coverage on re-infection with urogenital schistosomiasis in rural South Africa. eLife 2020; 9:54012. [PMID: 32178761 PMCID: PMC7108860 DOI: 10.7554/elife.54012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 03/10/2020] [Indexed: 12/15/2022] Open
Abstract
Previously, we demonstrated that coverage of piped water in the seven years preceding a parasitological survey was strongly predictive of Schistosomiasis haematobium infection in a nested cohort of 1976 primary school children (Tanser, 2018). Here, we report on the prospective follow up of infected members of this nested cohort (N = 333) for two successive rounds following treatment. Using a negative binomial regression fitted to egg count data, we found that every percentage point increase in piped water coverage was associated with 4.4% decline in intensity of re-infection (incidence rate ratio = 0.96, 95% CI: 0.93–0.98, p=0.004) among the treated children. We therefore provide further compelling evidence in support of the scaleup of piped water as an effective control strategy against Schistosoma haematobium transmission.
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Affiliation(s)
- Polycarp Mogeni
- Africa Health Research Institute, KwaZulu-Natal, South Africa.,School of Nursing and Public Health, University of KwaZulu-Natal, KwaZulu-Natal, South Africa.,KwaZulu-Natal Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Alain Vandormael
- Africa Health Research Institute, KwaZulu-Natal, South Africa.,School of Nursing and Public Health, University of KwaZulu-Natal, KwaZulu-Natal, South Africa.,KwaZulu-Natal Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal, KwaZulu-Natal, South Africa.,Heidelberg Institute of Global Health, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Diego Cuadros
- Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, United States.,Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, United States
| | - Christopher Appleton
- School of Life Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Frank Tanser
- Africa Health Research Institute, KwaZulu-Natal, South Africa.,School of Nursing and Public Health, University of KwaZulu-Natal, KwaZulu-Natal, South Africa.,Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, United Kingdom
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Min J, Kim HW, Stagg HR, Lipman M, Rangaka MX, Myong JP, Yim HW, Lim JU, Lee Y, Koo HK, Lee SS, Park JS, Cho KS, Kim JS. Latent tuberculosis infection screening and treatment in congregate settings (TB FREE COREA): protocol for a prospective observational study in Korea. BMJ Open 2020; 10:e034098. [PMID: 32075836 PMCID: PMC7045012 DOI: 10.1136/bmjopen-2019-034098] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
INTRODUCTION South Korea regards tuberculosis (TB) incidence in congregate settings as a serious problem. To this end, systematic latent TB infection (LTBI) diagnosis and treatment were provided to approximately 1.2 million individuals in high-risk congregate settings. METHODS AND ANALYSIS We designed a prospective cohort study of individuals tested for LTBI, based on the data collected on all persons screened for LTBI as part of the 2017 congregate settings programme in South Korea. Four types of databases are kept: LTBI screening database (personal information and LTBI test results), national health information (NHI) database (socio-demographic data and comorbidities), public healthcare information system (PHIS) database, and the Korean national TB surveillance system database (TB outcomes). Information regarding LTBI treatment at private hospitals and public health centres is collected from NHI and PHIS databases, respectively. The screening data are cleaned, duplicates are removed, and, where appropriate, re-coded to analyse specific exposures and outcomes. The primary objective is to compare the number of active TB cases prevented within 2 years between participants undergoing treatment and not undergoing treatment in the LTBI screening programme in congregate settings. Cascade of care for LTBI diagnosis and treatment will be evaluated among those with a positive LTBI test result. A Cox proportional hazards model will be applied to determine the risk factors for developing active TB. ETHICS AND DISSEMINATION The protocol is approved by the institutional review boards of Incheon St. Mary's Hospital, the Catholic University of Korea. Study results will be disseminated through peer-reviewed journals and conference presentations. TRIAL REGISTRATION NUMBER KCT0003905.
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Affiliation(s)
- Jinsoo Min
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea (the Republic of)
| | - Hyung Woo Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Helen R Stagg
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, Edinburgh, United Kingdom
| | - Marc Lipman
- Royal Free London NHS Foundation Trust, London, London, United Kingdom
- UCL-TB, University College London, London, United Kingdom
- UCL Respiratory, Division of Medicine, University College London, London, United Kingdom
| | - Molebogeng X Rangaka
- Institute for Global Health, University College London, London, London, United Kingdom
| | - Jun-Pyo Myong
- Department of Occupational and Environmental Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea (the Republic of)
| | - Hyeon Woo Yim
- Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea (the Republic of)
| | - Jeong Uk Lim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea (the Republic of)
| | - Yunhee Lee
- Department of Occupational and Environmental Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea (the Republic of)
| | - Hyeon-Kyoung Koo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea (the Republic of)
| | - Sung-Soon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea (the Republic of)
| | - Jae Seuk Park
- Division of Pulmonary Medicine, Department of Internal Medicine, Dankook University College of Medicine, Cheonan, Chungcheongnam-do, Korea (the Republic of)
| | - Kyung Sook Cho
- Division of Social Service Projects, Office for Social Welfare Policy, Korea Ministry of Health and Welfare, Sejong, Sejong, Korea (the Republic of)
| | - Ju Sang Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Kim H, Harling G, Vandormael A, Tomita A, Cuadros DF, Bärnighausen T, Tanser F. HIV seroconcordance among heterosexual couples in rural KwaZulu-Natal, South Africa: a population-based analysis. J Int AIDS Soc 2020; 23:e25432. [PMID: 31916420 PMCID: PMC6949466 DOI: 10.1002/jia2.25432] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 11/08/2019] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION High levels of HIV seroconcordance at the population level reduce the potential for effective HIV transmission. However, the level of HIV seroconcordance is largely unknown among heterosexual couples in sub-Saharan Africa. We aimed to quantify the population level HIV seroconcordance in stable heterosexual couples in rural South Africa. METHODS We followed adults (≥15 years old) using a population-based, longitudinal and open surveillance system in KwaZulu-Natal, South Africa, from 2003 to 2016. Sexual partnerships and HIV status were confirmed via household surveys and annual HIV surveillance. We calculated the proportions of HIV seroconcordance and serodiscordance in stable sexual partnerships and compared them to the expected proportions under the assumption of random mixing using individual-based microsimulation models. Among unpartnered individuals, we estimated the incidence rates and hazard of sexual partnership formation with HIV-positive or HIV-negative partners by participants' own time-varying HIV status. Competing risks survival regressions were fitted adjusting for sociodemographic and clinical factors. We also calculated Newman's assortativity coefficients. RESULTS A total of 18,341 HIV-negative and 11,361 HIV-positive individuals contributed 154,469 person-years (PY) of follow-up. Overall, 28% of the participants were in stable sexual partnerships. Of the 677 newly formed stable sexual partnerships, 7.7% (95% CI: 5.8 to 10.0) were HIV-positive seroconcordant (i.e. both individuals in the partnership were HIV-positive), which was three times higher than the expected proportion (2.3%) in microsimulation models based on random mixing. The incidence rates of sexual partnership formation were 0.54/1000PY with HIV-positive, 1.12/1000PY with HIV-negative and 2.65/1000PY with unknown serostatus partners. HIV-positive individuals had 2.39 (95% CI: 1.43 to 3.99) times higher hazard of forming a sexual partnership with an HIV-positive partner than did HIV-negative individuals after adjusting for age, opposite-sex HIV prevalence (by 5-years age groups), HIV prevalence in the surrounding community, ART coverage and other sociodemographic factors. Similarly, forming a sexual partnership with an HIV-negative partner was 1.47 (95% CI: 1.01 to 2.14) times higher in HIV-negative individuals in the adjusted model. Newman's coefficient also showed that assortativity by participant and partner HIV status was moderate (r = 0.35). CONCLUSIONS A high degree of population level HIV seroconcordance (both positive and negative) was observed at the time of forming new sexual partnerships. Understanding factors driving these patterns may help the development of strategies to bring the HIV epidemic under control.
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Affiliation(s)
- Hae‐Young Kim
- Africa Health Research InstituteKwaZulu‐NatalSouth Africa
- KwaZulu‐Natal Research Innovation and Sequencing Platform (KRISP)KwaZulu‐NatalSouth Africa
- Department of Population HealthNew York University Grossman School of MedicineNew YorkNYUSA
| | - Guy Harling
- Africa Health Research InstituteKwaZulu‐NatalSouth Africa
- Institute for Global HealthUniversity College LondonLondonUK
- Department of Epidemiology & Harvard Center for Population and Development StudiesHarvard T.H. Chan School of Public HealthBostonMAUSA
- MRC/Wits Rural Public Health & Health Transitions Research Unit (Agincourt)University of the WitwatersrandJohannesburgSouth Africa
| | - Alain Vandormael
- Africa Health Research InstituteKwaZulu‐NatalSouth Africa
- KwaZulu‐Natal Research Innovation and Sequencing Platform (KRISP)KwaZulu‐NatalSouth Africa
- School of Nursing and Public HealthUniversity of KwaZulu‐NatalDurbanSouth Africa
- Heidelberg Institute of Global HealthFaculty of MedicineUniversity of HeidelbergHeidelbergGermany
| | - Andrew Tomita
- Africa Health Research InstituteKwaZulu‐NatalSouth Africa
- KwaZulu‐Natal Research Innovation and Sequencing Platform (KRISP)KwaZulu‐NatalSouth Africa
- Centre for Rural HealthSchool of Nursing and Public HealthUniversity of KwaZulu‐NatalDurbanSouth Africa
| | - Diego F Cuadros
- Africa Health Research InstituteKwaZulu‐NatalSouth Africa
- Department of Geography and Geographic Information ScienceUniversity of CincinnatiCincinnatiOHUSA
| | - Till Bärnighausen
- Africa Health Research InstituteKwaZulu‐NatalSouth Africa
- Heidelberg Institute of Global HealthFaculty of MedicineUniversity of HeidelbergHeidelbergGermany
- Department of Global Health and PopulationHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Frank Tanser
- Africa Health Research InstituteKwaZulu‐NatalSouth Africa
- Department of Epidemiology & Harvard Center for Population and Development StudiesHarvard T.H. Chan School of Public HealthBostonMAUSA
- Lincoln Institute for HealthUniversity of LincolnLincolnUK
- Centre for the AIDS Programme of Research in South Africa (CAPRISA)University of KwaZulu‐NatalKwaZulu‐NatalSouth Africa
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Declines in HIV incidence among men and women in a South African population-based cohort. Nat Commun 2019; 10:5482. [PMID: 31792217 PMCID: PMC6889466 DOI: 10.1038/s41467-019-13473-y] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 11/08/2019] [Indexed: 12/15/2022] Open
Abstract
Over the past decade, there has been a massive scale-up of primary and secondary prevention services to reduce the population-wide incidence of HIV. However, the impact of these services on HIV incidence has not been demonstrated using a prospectively followed, population-based cohort from South Africa—the country with the world’s highest rate of new infections. To quantify HIV incidence trends in a hyperendemic population, we tested a cohort of 22,239 uninfected participants over 92,877 person-years of observation. We report a 43% decline in the overall incidence rate between 2012 and 2017, from 4.0 to 2.3 seroconversion events per 100 person-years. Men experienced an earlier and larger incidence decline than women (59% vs. 37% reduction), which is consistent with male circumcision scale-up and higher levels of female antiretroviral therapy coverage. Additional efforts are needed to get more men onto consistent, suppressive treatment so that new HIV infections can be reduced among women. Here, the authors investigate the outcome of prevention services scale-up on HIV incidence in a South African large population-based HIV surveillance cohort with over a decade of follow-up and associate a 43% reduction in incidence to earlier male medical circumcision and increased levels of antiretroviral therapy coverage.
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Abstract
OBJECTIVE HIV-associated mortality rates in Africa decreased by 10-20% annually in 2003-2011, after the introduction of antiretroviral therapy (ART). We sought to document HIV-associated mortality rates in the general population in Kenya after 2011 in an era of expanded access to ART. DESIGN We obtained data on mortality rates and migration from a health and demographic surveillance system (HDSS) in Gem, western Kenya, and data for HDSS residents aged 15-64 years from home-based HIV counseling and testing (HBCT) rounds in 2011, 2012, 2013, and 2016. METHODS Mortality trends were determined among a closed cohort of residents who participated in at least the 2011 round of HBCT. RESULTS Of 32 467 eligible HDSS residents, 22 688 (70%) participated in the 2011 round and comprised the study cohort. All-cause mortality rates declined from 10.0 [95% confidence interval (CI) 8.4-11.7] per 1000 in 2011 to 7.4 (95% CI 5·7-9·0) in 2016, whereas the mortality rate was stable among HIV-uninfected residents, at 5.7 per 1000 person-years. Among HIV-infected residents, mortality rates declined from 30.5 per 1000 in 2011 to 15.9 per 1000 in 2016 (average decline 6% per year). The HIV-infected group receiving ART had higher mortality rates than the HIV-uninfected group [adjusted rate ratio (aRR) 2.8, 95% CI 2.2-3.4], as did the HIV-infected group who did not receive ART (aRR 5.3, 95% CI 4.5-6.2). CONCLUSIONS Mortality rates among HIV-infected individuals declined substantially during ART expansion between 2011 and 2016, though less than during early ART introduction. Mortality trends among HIV-infected populations are critical to understanding epidemic dynamics.
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Vandormael A, Bärnighausen T, Herbeck J, Tomita A, Phillips A, Pillay D, de Oliveira T, Tanser F. Longitudinal Trends in the Prevalence of Detectable HIV Viremia: Population-Based Evidence From Rural KwaZulu-Natal, South Africa. Clin Infect Dis 2019; 66:1254-1260. [PMID: 29186391 DOI: 10.1093/cid/cix976] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 11/23/2017] [Indexed: 12/11/2022] Open
Abstract
Background The prevalence of detectable viremia has previously been used to infer the potential for ongoing human immunodeficiency virus (HIV) transmission. To date, no study has evaluated the longitudinal change in the prevalence of detectable viremia within the HIV-positive community (PDV+) and the entire population (PDVP) using data from a sub-Saharan African setting. Methods In 2011, 2013, and 2014, we obtained 6752 HIV-positive and 15415 HIV-negative test results from a population-based surveillance system in the KwaZulu-Natal province of South Africa. We quantified the PDV+ as the proportion of the 6752 HIV-positive results with a viral load >1550 copies/mL and the PDVP as the proportion of the 6752 HIV-positive and 15415 HIV-negative results with a viral load >1550 copies/mL. Results Between 2011 and 2014, the PDV+ decreased by 16.5 percentage points (pp) for women (from 71.8% to 55.3%) and 10.6 pp for men (from 77.8% to 67.2%). However, a steady rise in the overall HIV prevalence, from 26.7% to 32.4%, offset the declines in the PDV+ for both sexes. For women, the PDVP decreased by only 2.1 pp, from 21.3% to 19.2%, but for men, the PDVP actually increased by 1.6 pp, from 14.6% to 16.2%, over the survey period. Conclusions The PDV+, which is currently being tracked under the UNAIDS 90-90-90 targets, may not be an accurate indicator of the potential for ongoing HIV transmission. There is a critical need for countries to monitor and report the prevalence of detectable viremia among all adults, irrespective of HIV status.
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Affiliation(s)
- Alain Vandormael
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.,Africa Health Research Institute, Durban, South Africa.,Kwazulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa
| | - Till Bärnighausen
- Africa Health Research Institute, Durban, South Africa.,Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Heidelberg Institute for Public Health, Faculty of Medicine, University of Heidelberg, Germany.,Research Department of Infection and Population Health, University College London, United Kingdom
| | - Joshua Herbeck
- International Clinical Research Center, Department of Global Health, University of Washington, Seattle
| | - Andrew Tomita
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.,Africa Health Research Institute, Durban, South Africa.,Kwazulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa
| | | | - Deenan Pillay
- Africa Health Research Institute, Durban, South Africa.,Division of Infection and Immunity, University College London, United Kingdom
| | - Tulio de Oliveira
- Kwazulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa.,Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
| | - Frank Tanser
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.,Africa Health Research Institute, Durban, South Africa.,Research Department of Infection and Population Health, University College London, United Kingdom.,Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
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Birri Makota R, Musenge E. Factors Associated With HIV Infection in Zimbabwe Over a Decade From 2005 to 2015: An Interval-Censoring Survival Analysis Approach. Front Public Health 2019; 7:262. [PMID: 31620418 PMCID: PMC6759818 DOI: 10.3389/fpubh.2019.00262] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 08/27/2019] [Indexed: 11/13/2022] Open
Abstract
Objectives: The main objective of this study was to compare results from two approaches for estimating the effect of different factors on the risk of HIV infection and determine the best fitting model. Study design: We performed secondary data analysis on cross-sectional data which was collected from the Zimbabwe Demographic Health Survey (ZDHS) from 2005 to 2015. Methods: Survey and cluster adjusted logistic regression was used to determine variables for use in survival analysis with HIV status as the outcome variable. Covariates found significant in the logistic regression were used in survival analysis to determine the factors associated with HIV infection over the 10 years. The data for the survival analysis were modeled assuming age at survey imputation (Model 1) and interval-censoring (Model 2). Results: Model goodness of fit test based on the Cox-Snell residuals against the cumulative hazard indicated that Model 1 was the best model. On the contrary, the Akaike Information Criterion (AIC) indicated that Model 2 was the best model. Factors associated with a high risk of HIV infection were being female, number of sexual partners, and having had an STI in the past year prior to the survey. Conclusion: The difference between the results from the Cox-Snell residuals graphical method and the model estimates and AIC value maybe due to the lack of adequate methods to test the goodness-of -fit of interval-censored data. We concluded that Model 2 with interval-censoring gave better estimates due to its consistency with the published results from literature. Even though we consider the interval-censoring model as the superior model with regards to our specific data, the method had its own set of limitations.
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Affiliation(s)
- Rutendo Birri Makota
- Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Eustasius Musenge
- Division of Epidemiology and Biostatistics, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
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Dobra A, Bärnighausen T, Vandormael A, Tanser F. A method for statistical analysis of repeated residential movements to link human mobility and HIV acquisition. PLoS One 2019; 14:e0217284. [PMID: 31166973 PMCID: PMC6550382 DOI: 10.1371/journal.pone.0217284] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 05/08/2019] [Indexed: 12/05/2022] Open
Abstract
We propose a method for analyzing repeated residential movements based on graphical loglinear models. This method allows an explicit representation of residential presence and absence patterns from several areas without defining mobility measures. We make use of our method to analyze data from one of the most comprehensive demographic surveillance sites in Africa that is characterized by high adult HIV prevalence, high levels of poverty and unemployment and frequent residential changes. Between 2004 and 2016, residential changes were recorded for 8,857 men over 35,500.01 person-years, and for 12,158 women over 57,945.35 person-years. These individuals were HIV negative at baseline. Over the study duration, there were a total of 806 HIV seroconversions in men, and 2,458 HIV seroconversions in women. Our method indicates that establishing a residence outside the rural study area is a strong predictor of HIV seroconversion in men (OR = 2.003, 95% CI = [1.718,2.332]), but not in women. Residing inside the rural study area in a single or in multiple locations is a less significant risk factor for HIV acquisition in both men and women compared to moving outside the rural study area.
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Affiliation(s)
- Adrian Dobra
- Department of Statistics, University of Washington, Seattle, WA, United States of America
| | - Till Bärnighausen
- Heidelberg Institute of Global Health (HIGH), Medical Faculty and University Hospital, Heidelberg University, Heidelberg, Germany
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, United States of America
- Africa Health Research Institute,KwaZulu-Natal, South Africa
| | - Alain Vandormael
- Africa Health Research Institute,KwaZulu-Natal, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Frank Tanser
- Africa Health Research Institute,KwaZulu-Natal, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
- Research Department of Infection & Population Health, University College London, London, United Kingdom
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Dow C, Balkau B, Bonnet F, Mancini F, Rajaobelina K, Shaw J, Magliano DJ, Fagherazzi G. Strong adherence to dietary and lifestyle recommendations is associated with decreased type 2 diabetes risk in the AusDiab cohort study. Prev Med 2019; 123:208-216. [PMID: 30851294 DOI: 10.1016/j.ypmed.2019.03.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 02/24/2019] [Accepted: 03/05/2019] [Indexed: 11/18/2022]
Abstract
We aimed to determine whether adherence to the Australian dietary guidelines and an index of healthy behavior was associated with a lower risk of type 2 diabetes (T2D) and to provide estimates of the proportion of preventable cases. Participants of the AusDiab cohort study were followed for 12 years (n = 6242), starting from May 1999, during which T2D cases were identified. The associations between T2D risk and a score of adherence to the dietary guidelines, its components, and a score of adherence to an index of healthy behaviors, (which included smoking, recreational physical activity, waist circumference and adherence to the dietary guidelines), were estimated using Cox proportional hazards ratios (HR) and 95% confidence intervals. The proportion of preventable cases was estimated using the population attributable fraction (PAF). Strong adherence to the dietary guidelines was not associated with T2D risk (HR = 0.64 [95% CI 0.39-1.06]), unless moderate alcohol consumption was considered as beneficial instead of no alcohol consumption (HR = 0.59 [0.36-0.96]). However, strong adherence to the guidelines regarding fruit and dairy intake were both associated with decreased risk of T2D (HR = 0.68 [0.51-0.91]; 0.56 [0.38-0.84], respectively) and could have prevented 23-37% of cases (PAF = 23.3% [7.3-38.2]; 37.1% [14.6-56.0], respectively). Strong adherence to the index of healthy behaviors was associated with decreased risk of T2D (HR = 0.30 [0.17-0.51]) and estimated to prevent almost 60% of T2D (PAF = 59.4% [34.3-76.6]). More than half of T2D cases could be preventable in Australia through modifying health behavior. These results could serve as a basis for prevention programs based on lifestyle modification.
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Affiliation(s)
- Courtney Dow
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France; Gustave Roussy, Villejuif, France.
| | - Beverley Balkau
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France; University Versailles, Saint Quentin, University Paris-Sud, Villejuif, France
| | - Fabrice Bonnet
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France; Gustave Roussy, Villejuif, France; CHU Rennes, Université de Rennes 1, France
| | - Francesca Mancini
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France; Gustave Roussy, Villejuif, France
| | - Kalina Rajaobelina
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France; Gustave Roussy, Villejuif, France
| | - Jonathan Shaw
- Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Dianna J Magliano
- Department of Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Guy Fagherazzi
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France; Gustave Roussy, Villejuif, France
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van den Bergh C, Venter EH, Swanepoel R, Thompson PN. High seroconversion rate to Rift Valley fever virus in cattle and goats in far northern KwaZulu-Natal, South Africa, in the absence of reported outbreaks. PLoS Negl Trop Dis 2019; 13:e0007296. [PMID: 31050673 PMCID: PMC6519843 DOI: 10.1371/journal.pntd.0007296] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 05/15/2019] [Accepted: 03/12/2019] [Indexed: 11/19/2022] Open
Abstract
Background Rift Valley fever (RVF) is a mosquito-borne zoonotic disease characterized in South Africa by large epidemics amongst ruminant livestock at very long, irregular intervals, mainly in the central interior. However, the presence and patterns of occurrence of the virus in the eastern parts of the country are poorly known. This study aimed to detect the presence of RVF virus (RVFV) in cattle and goats in far northern KwaZulu-Natal province and to estimate the prevalence of antibodies to the virus and the incidence rate of seroconversion. Methodology Cross-sectional studies were performed in communally farmed cattle (n = 423) and goats (n = 104), followed by longitudinal follow-up of seronegative livestock (n = 253) 14 times over 24 months, representing 160.3 animal-years at risk. Exposure to RVFV was assessed using an IgG sandwich ELISA and a serum neutralization test (SNT) and seroconversion was assessed using SNT. Incidence density was estimated and compared using multivariable Poisson models and hazard of seroconversion was estimated over time. Principal findings Initial overall seroprevalence was 34.0% (95%CI: 29.5–38.8%) in cattle and 31.7% (95%CI: 22.9–41.6%) in goats, varying by locality from 18–54%. Seroconversions to RVFV based on SNT were detected throughout the year, with the incidence rate peaking during the high rainfall months of January to March, and differed considerably between years. Overall seroconversion rate in cattle was 0.59 per animal-year (95% CI: 0.46–0.75) and in goats it was 0.41 per animal-year (95% CI: 0.25–0.64), varying significantly over short distances. Conclusions/Significance The high seroprevalence in all age groups and evidence of year-round viral circulation provide evidence for a hyperendemic situation in the study area. This is the first study to directly estimate infection rate of RVFV in livestock in an endemic area in the absence of reported outbreaks and provides the basis for further investigation of factors affecting viral circulation and mechanisms for virus survival during interepidemic periods. Rift Valley fever (RVF) is a mosquito-transmitted viral disease that may cause large epidemics in domestic livestock and in humans. Although currently largely confined to Africa, it is of international concern due to its ability to spread and become established in areas where suitable mosquito vectors occur. Outbreaks occur sporadically, associated with conditions favourable for proliferation of mosquito populations, such as high rainfall and flooding, yet their location and timing remain difficult to predict. In other areas there is evidence that RVF virus is endemic and may circulate without causing outbreaks. However, the location and extent of such areas is poorly known, as is the transmission dynamics of the virus in those areas. In this paper, we report the existence of such an area of endemic RVF virus transmission on the tropical coastal plain of South Africa bordering Mozambique, where we found a high rate of exposure of domestic cattle and goats to the naturally circulating virus over a two-year period, with no outbreaks being reported. Research in such areas will help us to assess the potential for spread of the virus to other areas and also to better understand the behaviour of the virus during periods between epidemics.
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Affiliation(s)
- Carien van den Bergh
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Gauteng, South Africa
| | - Estelle H. Venter
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Gauteng, South Africa
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
| | - Robert Swanepoel
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Gauteng, South Africa
| | - Peter N. Thompson
- Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Gauteng, South Africa
- * E-mail:
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47
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Tanser F, Bärnighausen T, Dobra A, Sartorius B. Identifying 'corridors of HIV transmission' in a severely affected rural South African population: a case for a shift toward targeted prevention strategies. Int J Epidemiol 2019; 47:537-549. [PMID: 29300904 PMCID: PMC5913614 DOI: 10.1093/ije/dyx257] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2017] [Indexed: 11/24/2022] Open
Abstract
Background In the context of a severe generalized African HIV epidemic, the value of geographically targeted prevention interventions has only recently been given serious consideration. However, to date no study has performed a population-based analysis of the micro-geographical clustering of HIV incident infections, limiting the evidential support for such a strategy. Methods We followed 17 984 HIV-uninfected individuals aged 15–54 in a population-based cohort in rural KwaZulu-Natal, South Africa, and observed individual HIV sero-conversions between 2004 and 2014. We geo-located all individuals to an exact homestead of residence (accuracy <2 m). We then employed a two-dimensional Gaussian kernel of radius 3 km to produce robust estimates of HIV incidence which vary across continuous geographical space. We also applied Tango's flexibly shaped spatial scan statistic to identify irregularly shaped clusters of high HIV incidence. Results Between 2004 and 2014, we observed a total of 2 311 HIV sero-conversions over 70 534 person-years of observation, at an overall incidence of 3.3 [95% confidence interval (CI), 3.1-3.4] per 100 person-years. Three large irregularly-shaped clusters of new HIV infections (relative risk = 1.6, 1.7 and 2.3) were identified in two adjacent peri-urban communities near the National Road (P = 0.001, 0.015) as well as in a rural node bordering a recent coal mine development (P = 0.020), respectively. Together the clusters had a significantly higher age-sex standardized incidence of 5.1 (95% CI, 4.7-5.6) per 100 person-years compared with a standardized incidence of 3.0 per 100 person-years (95% CI, 2.9-3.2) in the remainder of the study area. Though these clusters comprise just 6.8% of the study area, they account for one out of every four sero-conversions observed over the study period. Conclusions Our study has revealed clear ‘corridors of transmission’ in this typical rural, hyper-endemic population. Even in a severely affected rural African population, an approach that seeks to provide preventive interventions to the most vulnerable geographies could be more effective and cost-effective in reducing the overall rate of new HIV infections. There is an urgent need to develop and test such interventions as part of an overall combination prevention approach.
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Affiliation(s)
- Frank Tanser
- Africa Health Research Institute, Durban, South Africa.,School of Nursing and Public Health, University of KwaZulu-Natal, South Africa.,Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.,Institute of Epidemiology and Health Care, University College London, London, UK
| | - Till Bärnighausen
- Africa Health Research Institute, Durban, South Africa.,Institute of Epidemiology and Health Care, University College London, London, UK.,Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Institute for Public Health, University of Heidelberg, Heidelberg, Germany
| | - Adrian Dobra
- Department of Statistics, Department of Biobehavioral Nursing and Health Informatics, Center for Statistics and the Social Sciences and Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA
| | - Benn Sartorius
- School of Nursing and Public Health, University of KwaZulu-Natal, South Africa
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48
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TOMITA A, VANDORMAEL A, BÄRNIGHAUSEN T, PHILLIPS A, PILLAY D, DE OLIVEIRA T, TANSER F. Sociobehavioral and community predictors of unsuppressed HIV viral load: multilevel results from a hyperendemic rural South African population. AIDS 2019; 33:559-569. [PMID: 30702520 PMCID: PMC6547375 DOI: 10.1097/qad.0000000000002100] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Extensive antiretroviral therapy scale-up is expected to prevent onward transmission of HIV by reducing the overall community viral load. Despite multiple studies about predictors of detectable viral load derived from clinical setting, to date, no study has established such predictors using a population-based viral load survey in a sub-Saharan African hyperendemic setting to inform interventions designed to halt HIV transmission. We used one of Africa's largest prospective cohorts in rural KwaZulu-Natal Province, South Africa, to establish the key sociodemographic, behavioral and community predictors of unsuppressed viral load at the population level. METHODS We collected 5454 viral load measurements from a population-based viral load survey of 3892 women living with HIV from a rural population during 2011, 2013 and 2014. Multilevel logistic regression models were fitted to examine the risk predictors of unsuppressed viral load. RESULTS Among women living with HIV in this population, the prevalence of unsuppressed viral load was 69% in 2011, 58% in 2013 and 53% in 2014. Although time since HIV infection was associated with lower risk for virologic detection [adjusted odds ratio (aOR) = 0.91,0.87-0.94], young women (aOR = 2.59,1.47-4.55) with extensive external migration history (aOR = 1.25,1.02-1.54), greater number of sexual partners (aOR = 1.30,1.02-1.67), and longer history of residing in an HIV incidence hotspot community were more likely to experience unsuppressed viral load (aOR = 1.12,1.06-1.19). CONCLUSION Young women, number of sexual partners, transiency and longer residence in an HIV hotspot community are important determinants of unsuppressed viral load in a hyperendemic rural African setting. To substantially reduce the persistently high transmission potential in these settings, targeted interventions to address these risk factors will be essential for both individual and population health gains.
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Affiliation(s)
- Andrew TOMITA
- Africa Health Research Institute, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing (KRISP), Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, South Africa
- Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Alain VANDORMAEL
- Africa Health Research Institute, Durban, South Africa
- KwaZulu-Natal Research Innovation and Sequencing (KRISP), Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Till BÄRNIGHAUSEN
- Africa Health Research Institute, Durban, South Africa
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA
- Heidelberg Institute for Public Health, University of Heidelberg, Heidelberg, Germany
| | - Andrew PHILLIPS
- Institute for Global Health, University College London, London, UK
| | - Deenan PILLAY
- Africa Health Research Institute, Durban, South Africa
- Division of Infection and Immunity, University College London, London, UK
| | - Tulio DE OLIVEIRA
- KwaZulu-Natal Research Innovation and Sequencing (KRISP), Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, South Africa
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Frank TANSER
- Africa Health Research Institute, Durban, South Africa
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
- Research Department of Infection & Population Health, University College London, London, UK
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa
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49
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Vandormael A, Tanser F, Cuadros D, Dobra A. Estimating trends in the incidence rate with interval censored data and time-dependent covariates. Stat Methods Med Res 2019; 29:272-281. [PMID: 30782096 DOI: 10.1177/0962280219829892] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We propose a multiple imputation method for estimating the incidence rate with interval censored data and time-dependent (and/or time-independent) covariates. The method has two stages. First, we use a semi-parametric G-transformation model to estimate the cumulative baseline hazard function and the effects of the time-dependent (and/or time-independent covariates) on the interval censored infection times. Second, we derive the participant's unique cumulative distribution function and impute infection times conditional on the covariate values. To assess performance, we simulated infection times from a Cox proportional hazards model and induced interval censoring by varying the testing rate, e.g., participants test 100%, 75%, 50% of the time, etc. We then compared the incidence rate estimates from our G-imputation approach with single random-point and mid-point imputation. By comparison, our G-imputation approach gave more accurate incidence rate estimates and appropriate standard errors for models with time-independent covariates only, time-dependent covariates only, and a mixture of time-dependent and time-independent covariates across various testing rates. We demonstrate, for the first time, a multiple imputation approach for incidence rate estimation with interval censored data and time-dependent (and/or time-independent) covariates.
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Affiliation(s)
- Alain Vandormael
- School of Nursing and Public Health, University of KwaZulu-Natal, KwaZulu-Natal, South Africa.,Africa Health Research Institute (AHRI), KwaZulu-Natal, South Africa.,KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Frank Tanser
- School of Nursing and Public Health, University of KwaZulu-Natal, KwaZulu-Natal, South Africa.,Africa Health Research Institute (AHRI), KwaZulu-Natal, South Africa.,Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, KwaZulu-Natal, South Africa.,Research Department of Infection & Population Health, University College London, London, UK
| | - Diego Cuadros
- Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH, USA
| | - Adrian Dobra
- Department of Statistics, Center for Statistics and the Social Sciences, and Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA
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50
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Dzomba A, Tomita A, Vandormael A, Govender K, Tanser F. Effect of ART scale-up and female migration intensity on risk of HIV acquisition: results from a population-based cohort in KwaZulu-Natal, South Africa. BMC Public Health 2019; 19:196. [PMID: 30764786 PMCID: PMC6376673 DOI: 10.1186/s12889-019-6494-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 01/29/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Despite increased antiretroviral therapy (ART) coverage, the incidence of HIV infection among women in rural South Africa remains high. While many socio-demographic and behavioral factors have been identified, the effect of female migration intensity on the risk of HIV acquisition before and after ART scale-up has not been evaluated in the country. METHODS We followed 13,315 female participants aged 15-49 who were HIV-uninfected at baseline and recorded their migration events between 2004 and 2015. Using a Cox proportional hazard model, we estimated the time to HIV acquisition among the women, adjusting for annual migration intensity (high: ≥2 events/year, moderate = 1 event/year, and low = 0 event/year) before and after ART scale-up in 2010. RESULTS 1998 (15%) new HIV-infection events were recorded during the observation period. Overall, high migration intensity was associated with an increased HIV acquisition risk among women when compared with low migration intensity (HR = 2.88, 95% CI: 1.56-5.53). Among those with high migration intensity, the risk of HIV acquisition was significantly lower in the post-ART period compared to the pre-ART period, after controlling for key socio-demographic and behavioural covariates (aHR = 0.18, 95% CI 0.04-0.83). CONCLUSIONS Women who migrated frequently after ART scale-up had a significantly reduced HIV acquisition risk compared to those before its implementation. While this reduction is encouraging, women who migrate frequently remain at high risk of HIV acquisition. In the era of ART, there remains a critical need for public health interventions to reduce the risk of HIV acquisition in this highly vulnerable population.
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Affiliation(s)
- Armstrong Dzomba
- Africa Health Research Institute (AHRI), KwaZulu-Natal, South Africa. .,School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa. .,KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal, Durban, South Africa.
| | - Andrew Tomita
- Africa Health Research Institute (AHRI), KwaZulu-Natal, South Africa.,KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal, Durban, South Africa.,Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Alain Vandormael
- Africa Health Research Institute (AHRI), KwaZulu-Natal, South Africa.,School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.,KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), University of KwaZulu-Natal, Durban, South Africa
| | - Kaymarlin Govender
- Health Economics and HIV and AIDS Research Division (HEARD), University of KwaZulu-Natal, Durban, South Africa
| | - Frank Tanser
- Africa Health Research Institute (AHRI), KwaZulu-Natal, South Africa.,School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.,Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.,Research Department of Infection & Population Health, University College London, London, UK
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