Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection
Human Immunodeficiency Virus type 1 (HIV-1) infection is a chronic disease that affects ~40 million people worldwide. HIV-associated neurocognitive disorders (HAND) are common in individuals with HIV-1 Infection, and represent a recent public health problem. Here we evaluate the performance of a rec...
- Autores:
-
Martinez-Banf, Martha
Vélez, Jorge I.
Mebarak Chams, Moisés R.
Arcos-Holzinger, Mauricio
Acosta-López, Johan E.
García, Ricardo
Perea, María Victoria
Arcos-Burgos, Mauricio
Ladera, Valentina
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/8110
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/8110
https://doi.org/10.3390/brainsci11081037
https://www.mdpi.com/2076-3425/11/8/1037
- Palabra clave:
- HIV
AIDS
HAND
Neurocognitive disorder
Predictive models
Neuropsychological screening
Machine learning
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.eng.fl_str_mv |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection |
title |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection |
spellingShingle |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection HIV AIDS HAND Neurocognitive disorder Predictive models Neuropsychological screening Machine learning |
title_short |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection |
title_full |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection |
title_fullStr |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection |
title_full_unstemmed |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection |
title_sort |
Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection |
dc.creator.fl_str_mv |
Martinez-Banf, Martha Vélez, Jorge I. Mebarak Chams, Moisés R. Arcos-Holzinger, Mauricio Acosta-López, Johan E. García, Ricardo Perea, María Victoria Arcos-Burgos, Mauricio Ladera, Valentina |
dc.contributor.author.none.fl_str_mv |
Martinez-Banf, Martha Vélez, Jorge I. Mebarak Chams, Moisés R. Arcos-Holzinger, Mauricio Acosta-López, Johan E. García, Ricardo Perea, María Victoria Arcos-Burgos, Mauricio Ladera, Valentina |
dc.subject.eng.fl_str_mv |
HIV AIDS HAND Neurocognitive disorder Predictive models Neuropsychological screening Machine learning |
topic |
HIV AIDS HAND Neurocognitive disorder Predictive models Neuropsychological screening Machine learning |
description |
Human Immunodeficiency Virus type 1 (HIV-1) infection is a chronic disease that affects ~40 million people worldwide. HIV-associated neurocognitive disorders (HAND) are common in individuals with HIV-1 Infection, and represent a recent public health problem. Here we evaluate the performance of a recently proposed short protocol for detecting HAND by studying 60 individuals with HIV-1-Infection and 60 seronegative controls from a Caribbean community in Barranquilla, Colombia. The short evaluation protocol used significant neuropsychological tests from a previous study of asymptomatic HIV-1 infected patients and a group of seronegative controls. Brief screening instruments, i.e., the Mini-mental State Examination (MMSE) and the International HIV Dementia Scale (IHDS), were also applied. Using machine-learning techniques, we derived predictive models of HAND status, and evaluated their performance with the ROC curves. The proposed short protocol performs exceptionally well yielding sensitivity, specificity, and overall prediction values >90%, and better predictive capacity than that of the MMSE and IHDS. Community-specific cut-off values for HAND diagnosis, based on the MMSE and IHDS, make this protocol suitable for HAND screening in individuals from this Caribbean community. This study shows the effectivity of a recently proposed short protocol to detect HAND in individuals with asymptomatic HIV-1-Infection. The application of community-specific cut-off values for HAND diagnosis in the clinical setting may improve HAND screening accuracy and facilitate patients’ treatment and follow-up. Further studies are needed to assess the performance of this protocol in other Latin American populations. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-08-05T14:43:46Z |
dc.date.available.none.fl_str_mv |
2021-08-05T14:43:46Z |
dc.date.issued.none.fl_str_mv |
2021 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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Artículo científico |
dc.identifier.citation.spa.fl_str_mv |
Martinez-Banfi, M.; Vélez, J.I.; Mebarak Chams, M.R.; Arcos-Holzinger, M.; Acosta-López, J.E.; García, R.; Perea, M.V.; Arcos-Burgos, M.; Ladera, V. Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection. Brain Sci. 2021, 11, 1037. https:// doi.org/10.3390/brainsci11081037 |
dc.identifier.issn.none.fl_str_mv |
20763425 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12442/8110 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/brainsci11081037 |
dc.identifier.url.none.fl_str_mv |
https://www.mdpi.com/2076-3425/11/8/1037 |
identifier_str_mv |
Martinez-Banfi, M.; Vélez, J.I.; Mebarak Chams, M.R.; Arcos-Holzinger, M.; Acosta-López, J.E.; García, R.; Perea, M.V.; Arcos-Burgos, M.; Ladera, V. Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection. Brain Sci. 2021, 11, 1037. https:// doi.org/10.3390/brainsci11081037 20763425 |
url |
https://hdl.handle.net/20.500.12442/8110 https://doi.org/10.3390/brainsci11081037 https://www.mdpi.com/2076-3425/11/8/1037 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://purl.org/coar/access_right/c_abf2 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
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openAccess |
dc.format.mimetype.eng.fl_str_mv |
pdf |
dc.publisher.eng.fl_str_mv |
MDPI |
dc.source.eng.fl_str_mv |
Brain sciences |
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Vol. 11, No. 8 (2021) |
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Universidad Simón Bolívar |
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Martinez-Banf, Martha5d801b9f-7115-4f70-93b5-36934d811496Vélez, Jorge I.83044e45-79cc-4eec-a9cc-72bf4514e76bMebarak Chams, Moisés R.dbd6e858-b87b-4262-a8cd-248a228ee921Arcos-Holzinger, Mauricio7238c0fe-3118-4a98-8904-f598cb43fd53Acosta-López, Johan E.b7a16ff4-ce8a-419c-a6ba-597013d207edGarcía, Ricardofb12fb60-9e6a-4bd4-9642-e75c6fc2aa08Perea, María Victoriac6709389-9b9f-4aed-b112-f22e4d9783c9Arcos-Burgos, Mauriciob0eeb625-a6f6-4508-8925-309b5f765a14Ladera, Valentinabf8d447e-dc7d-4cff-80c5-a6c3667811062021-08-05T14:43:46Z2021-08-05T14:43:46Z2021Martinez-Banfi, M.; Vélez, J.I.; Mebarak Chams, M.R.; Arcos-Holzinger, M.; Acosta-López, J.E.; García, R.; Perea, M.V.; Arcos-Burgos, M.; Ladera, V. Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection. Brain Sci. 2021, 11, 1037. https:// doi.org/10.3390/brainsci1108103720763425https://hdl.handle.net/20.500.12442/8110https://doi.org/10.3390/brainsci11081037https://www.mdpi.com/2076-3425/11/8/1037Human Immunodeficiency Virus type 1 (HIV-1) infection is a chronic disease that affects ~40 million people worldwide. HIV-associated neurocognitive disorders (HAND) are common in individuals with HIV-1 Infection, and represent a recent public health problem. Here we evaluate the performance of a recently proposed short protocol for detecting HAND by studying 60 individuals with HIV-1-Infection and 60 seronegative controls from a Caribbean community in Barranquilla, Colombia. The short evaluation protocol used significant neuropsychological tests from a previous study of asymptomatic HIV-1 infected patients and a group of seronegative controls. Brief screening instruments, i.e., the Mini-mental State Examination (MMSE) and the International HIV Dementia Scale (IHDS), were also applied. Using machine-learning techniques, we derived predictive models of HAND status, and evaluated their performance with the ROC curves. The proposed short protocol performs exceptionally well yielding sensitivity, specificity, and overall prediction values >90%, and better predictive capacity than that of the MMSE and IHDS. Community-specific cut-off values for HAND diagnosis, based on the MMSE and IHDS, make this protocol suitable for HAND screening in individuals from this Caribbean community. This study shows the effectivity of a recently proposed short protocol to detect HAND in individuals with asymptomatic HIV-1-Infection. The application of community-specific cut-off values for HAND diagnosis in the clinical setting may improve HAND screening accuracy and facilitate patients’ treatment and follow-up. Further studies are needed to assess the performance of this protocol in other Latin American populations.pdfengMDPIAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Brain sciencesVol. 11, No. 8 (2021)HIVAIDSHANDNeurocognitive disorderPredictive modelsNeuropsychological screeningMachine learningUtility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infectioninfo:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Moral De La Rubia, J.; Segovia Chavez, M. Discrimination Against Women Infected with Human Immunodeficiency Virus (HIV) By Members of Their Own Family. Psicogente 2015, 18, 89–103.Marin-Webb, V.; Jessen, H.; Kopp, U.; Jessen, A.B.; Hahn, K. Validation of the International HIV Dementia Scale as a Screening Tool for HIV-Associated Neurocognitive Disorders in a German-Speaking HIV Outpatient Clinic. PLoS ONE 2016, 11, e0168225.Heaton, R.K.; Franklin, D.R.; Ellis, R.J.; McCutchan, J.A.; Letendre, S.L.; Leblanc, S.; Corkran, S.H.; Duarte, N.A.; Clifford, D.B.; Woods, S.P.; et al. HIV-associated neurocognitive disorders before and during the era of combination antiretroviral therapy: Differences in rates, nature, and predictors. J. Neurovirol. 2011, 17, 3–16.Woods, S.P.; Moore, D.J.; Weber, E.; Grant, I. Cognitive Neuropsychology of HIV-Associated Neurocognitive Disorders. Neuropsychol. Rev. 2009, 19, 152–168.Eggers, C.; Arendt, G.; Hahn, K.; Husstedt, I.W.; Maschke, M.; Neuen-Jacob, E.; Obermann, M.; Rosenkranz, T.; Schielke, E.; Straube, E.; et al. HIV-1-associated neurocognitive disorder: Epidemiology, pathogenesis, diagnosis, and treatment. J. Neurol. 2017, 264, 1715–1727.Antinori, A.; Arendt, G.; Becker, J.T.; Brew, B.; Byrd, D.A.; Cherner, M.; Clifford, D.B.; Cinque, P.; Epstein, L.; Goodkin, K.; et al. Updated research nosology for HIV-associated neurocognitive disorders. Neurology 2007, 69.Joska, J.A.; Witten, J.; Thomas, K.G.; Robertson, C.; Casson-Crook, M.; Roosa, H.; Creighton, J.; Lyons, J.; McArthur, J.; Sacktor, N.C. A Comparison of Five Brief Screening Tools for HIV-Associated Neurocognitive Disorders in the USA and South Africa. AIDS Behav. 2016, 20, 1621–1631.Heaton, R.K.; Clifford, D.B.; Franklin, D.R.; Woods, S.P.; Ake, C.; Vaida, F.; Ellis, R.J.; Letendre, S.L.; Marcotte, T.D.; Atkinson, J.H.; et al. HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: CHARTER Study. Neurology 2010, 75, 2087–2096Oshinaike, O.O.; Akinbami, A.A.; Ojo, O.O.; Ojini, I.F.; Okubadejo, N.; Danesi, A.M. 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Syndr. 2017, 74, 332.Zipursky, A.R.; Gogolishvili, D.; Rueda, S.; Brunetta, J.; Carvalhal, A.; McCombe, J.A.; Gill, M.J.; Rachlis, A.; Rosenes, R.; Arbess, G.; et al. Evaluation of brief screening tools for neurocognitive impairment in HIV/AIDS: A systematic review of the literature. AIDS 2013, 27, 2385.Cysique, L.A.; Casaletto, K.B.; Heaton, R.K. Reliably Measuring Cognitive Change in the Era of Chronic HIV Infection and Chronic HIV-Associated Neurocognitive Disorders. In Current Topics in Behavioral Neurosciences; Springer: Berlin/Heidelberg, Germany, 2019; pp. 1–28.Chan, L.G.; Ho, M.J.; Lin, Y.C.; Ong, Y.; Wong, C.S. Development of a neurocognitive test battery for HIV-associated neurocognitive disorder (HAND) screening: Suggested solutions for resource-limited clinical settings. AIDS Res. Ther. 2019, 16, 9.Smail, R.C.; Brew, B.J. HIV-Associated Neurocognitive Disorder. 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ADHD Endophenotypes in Caribbean Families. J. Atten. Disord. 2018.Valcour, V.; Pohl, K. Machine Learning to Distinguish HAND from Alzheimer’s Disease in HIV over Age 60. 2020. Available online: http://grantome.com/grant/NIH/R01-MH113406-01 (accessed on 4 February 2020).Pluta, A.; Wolak, T.; Soba ´nska, M.; Gawron, N.; Egbert, A.R.; Szyma ´nska, B.; Horban, A.; Firl ˛ag-Burkacka, E.; Bie ´nkowski, P.; Sienkiewicz-Jarosz, H.; et al. HIV and age underlie specific patterns of brain abnormalities and cognitive changes in high functioning patients. Neuropsychology 2019, 33, 358–369.Bandera, A.; Taramasso, L.; Bozzi, G.; Muscatello, A.; Robinson, J.A.; Burdo, T.H.; Gori, A. HIV-Associated Neurocognitive Impairment in the Modern ART Era: Are We Close to Discovering Reliable Biomarkers in the Setting of Virological Suppression? Front. Aging Neurosci. 2019, 11, 187.Cysique, L.; Murray, J.; Dunbar, M.; Jeyakumar, V.; Brew, B.; Cysique, L.; Murray, J. A screening algorithm for HIV-associated neurocognitive disorders. HIV Med. 2010, 11, 642–649.Breiman, L.; Friedman, J.H.; Olshen, R.A.; Stone, C.J. Classification and Regression Trees; Wadsworth International Group: Belmont, CA, USA, 1984.Martínez-Banfi, M.; Vélez, J.I.; Perea, M.V.; García, R.G.; Puentes-Rozo, P.J.; Chams, M.M.; Ladera, V. Neuropsychological performance in patients with asymptomatic HIV-1 infection. AIDS Care Psychol. Socio-Med. Asp. AIDS/HIV 2018, 30, 623–633.Becker, J.T.; Kingsley, L.A.; Molsberry, S.; Reynolds, S.; Aronow, A.; Levine, A.J.; Martin, E.; Miller, E.N.; Munro, C.A.; Ragin, A.; et al. Cohort Profile: Recruitment cohorts in the neuropsychological substudy of the Multicenter AIDS Cohort Study. Int. J. Epidemiol. 2015, 44, 1506–1516.Folstein, M.F.; Folstein, S.E.; McHugh, P.R. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975, 12, 189–198.Mungas, D. 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