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1.
J Neurovirol ; 22(4): 472-8, 2016 08.
Article in English | MEDLINE | ID: mdl-26733457

ABSTRACT

Infrastructure for conducting neurological research in resource-limited settings (RLS) is limited. The lack of neurological and neuropsychological (NP) assessment and normative data needed for clinical interpretation impedes research and clinical care. Here, we report on ACTG 5271, which provided neurological training of clinical site personnel and collected neurocognitive normative comparison data in diverse settings. At ten sites in seven RLS countries, we provided training for NP assessments. We collected normative comparison data on HIV- participants from Brazil (n = 240), India (n = 480), Malawi (n = 481), Peru (n = 239), South Africa (480), Thailand (n = 240), and Zimbabwe (n = 240). Participants had a negative HIV test within 30 days before standardized NP exams were administered at baseline and 770 at 6 months. Participants were enrolled in eight strata, gender (female and male), education (<10 and ≥10 years), and age (<35 and ≥35 years). Of 2400 enrolled, 770 completed the 6-month follow-up. As expected, significant between-country differences were evident in all the neurocognitive test scores (p < 0.0001). There was variation between the age, gender, and education strata on the neurocognitive tests. Age and education were important variables for all tests; older participants had poorer performance, and those with higher education had better performance. Women had better performance on verbal learning/memory and speed of processing tests, while men performed better on motor tests. This study provides the necessary neurocognitive normative data needed to build infrastructure for future neurological and neurocognitive studies in diverse RLS. These normative data are a much-needed resource for both clinicians and researchers.


Subject(s)
Clinical Trials as Topic , Cognition/physiology , Health Personnel/education , Mental Status and Dementia Tests , Adult , Africa , Age Factors , Asia , Cognitive Dysfunction/complications , Cognitive Dysfunction/psychology , Developing Countries/economics , Educational Status , Female , HIV Infections/complications , HIV Infections/psychology , Healthy Volunteers , Humans , Male , Middle Aged , Reference Values , Sex Factors , South America , Verbal Learning/physiology
2.
J Clin Virol ; 52(3): 265-8, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21908233

ABSTRACT

BACKGROUND: Many resource limited settings (RLS) suffer from high rates of both cervical cancer and HIV. Limited HPV serology data are available from RLS; such data could help describe local patterns of HPV infection and predict vaccine efficacy. OBJECTIVES: To determine seropositivity to HPV types 6, 11, 16 and 18 in HIV-infected women from South Africa (SA), Botswana and Brazil. STUDY DESIGN: HPV serotyping for high-risk types 6, 11, 16 and 18 was performed on samples collected from HIV-infected women from 2003-2010 using competitive Luminex Immuno Assay (HPV-4cLIA). We examined the association between seropositivity to these HPV types and country of enrollment, CD4, HIV-1 RNA level, and Pap smear. RESULTS: HPV serology results were available for 487 HIV-infected women (157, 170 and 160 from SA, Botswana and Brazil respectively). Approximately 65% of women had serum antibodies to one of the 4 HPV types and less than 3% of women had antibodies all 4 serotypes. Approximately 30% women demonstrated antibodies to type 16 HPV. Rates of seropositivity to HPV 11, and HPV 16+18 varied significantly between countries. Statistical difference was also shown in women in different age categories in the different countries. There was no difference in serology results compared by CD4 count, HIV viral load or Pap smear results. CONCLUSIONS: These data suggest that the quadrivalent vaccine may be effective in preventing HPV infection in these countries.


Subject(s)
Antibodies, Viral/blood , HIV Infections/complications , Papillomaviridae/immunology , Papillomavirus Infections/complications , Adult , Botswana , Brazil , CD4 Lymphocyte Count , Female , HIV-1 , Human papillomavirus 11/genetics , Human papillomavirus 11/immunology , Human papillomavirus 16/genetics , Human papillomavirus 16/immunology , Human papillomavirus 18/genetics , Human papillomavirus 18/immunology , Human papillomavirus 6/genetics , Human papillomavirus 6/immunology , Humans , Middle Aged , Papillomaviridae/classification , Papillomaviridae/genetics , Papillomavirus Infections/virology , Papillomavirus Vaccines , RNA, Viral/analysis , RNA, Viral/blood , Seroepidemiologic Studies , South Africa
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