Literature DB >> 33356492

Correlation between computerised and standard cognitive testing in people with HIV and HIV-negative individuals.

Davide De Francesco1, Jonathan Underwood2,3, Jane Anderson4, Marta Boffito5, Frank A Post6, Memory Sachikonye7, Patrick W G Mallon8, Lewis Haddow1,9, Jaime H Vera10, Ken M Kunisaki11,12, Caroline A Sabin1, Alan Winston2.   

Abstract

We investigated the correlations and agreement between cognitive assessments made using a computerised (CogState™, six domains) and a standard pen-and-paper battery (five domains) in PWH and lifestyle-similar HIV-negative individuals. Demographically adjusted domain and global T-scores were obtained and used to define cognitive impairment according to the multivariate normative comparison (MNC) criteria. Correlations between T-scores and the agreement between the classifications of cognitive impairment obtained from the two batteries were assessed using the Spearman's rank correlation and Cohen's κ, respectively. The correlation between global T-scores from the two batteries was 0.52 (95% CI 0.44-0.60) in PWH and 0.45 (0.29-0.59) in controls (p = 0.38 for their difference). Correlations were generally stronger between domains within the same battery than between those from different batteries. The agreement between the two batteries in classifying individuals as cognitively impaired or not impaired was fair in PWH (κ = 0.24) and poor in HIV-negative individuals (κ = -0.02). The moderate correlation between overall cognitive function and the modest agreement between binary classifications of cognitive impairment obtained from two different batteries indicate the two batteries may assess slightly different components of cognition.

Entities:  

Keywords:  CogState; HIV; cognitive battery; cognitive impairment; computerised cognitive battery

Mesh:

Year:  2020        PMID: 33356492      PMCID: PMC9448413          DOI: 10.1080/09540121.2020.1865518

Source DB:  PubMed          Journal:  AIDS Care        ISSN: 0954-0121


  32 in total

1.  Predictive validity of global deficit scores in detecting neuropsychological impairment in HIV infection.

Authors:  Catherine L Carey; Steven Paul Woods; Raul Gonzalez; Emily Conover; Thomas D Marcotte; Igor Grant; Robert K Heaton
Journal:  J Clin Exp Neuropsychol       Date:  2004-05       Impact factor: 2.475

2.  Biostatistics 104: correlational analysis.

Authors:  Y H Chan
Journal:  Singapore Med J       Date:  2003-12       Impact factor: 1.858

3.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

Review 4.  HIV-1 infection and cognitive impairment in the cART era: a review.

Authors:  Judith Schouten; Paola Cinque; Magnus Gisslen; Peter Reiss; Peter Portegies
Journal:  AIDS       Date:  2011-03-13       Impact factor: 4.177

5.  Randomized trial of minocycline in the treatment of HIV-associated cognitive impairment.

Authors:  Noeline Nakasujja; Sachiko Miyahara; Scott Evans; Anthony Lee; Seggane Musisi; Elly Katabira; Kevin Robertson; Allan Ronald; David B Clifford; Ned Sacktor
Journal:  Neurology       Date:  2012-12-26       Impact factor: 9.910

6.  Gray and White Matter Abnormalities in Treated Human Immunodeficiency Virus Disease and Their Relationship to Cognitive Function.

Authors:  Jonathan Underwood; James H Cole; Matthan Caan; Davide De Francesco; Robert Leech; Rosan A van Zoest; Tanja Su; Gert J Geurtsen; Ben A Schmand; Peter Portegies; Maria Prins; Ferdinand W N M Wit; Caroline A Sabin; Charles Majoie; Peter Reiss; Alan Winston; David J Sharp
Journal:  Clin Infect Dis       Date:  2017-08-01       Impact factor: 9.079

7.  Correlation between the Cogstate computerized measure and WAIS-IV among birth cohort mothers.

Authors:  Eeva-Leena Kataja; Linnea Karlsson; Mimmi Tolvanen; Christine Parsons; Adrian Schembri; Hanna Kiiski-Mäki; Hasse Karlsson
Journal:  Arch Clin Neuropsychol       Date:  2017-03-01       Impact factor: 2.813

8.  Assessing Cognitive Functioning in People Living With HIV (PLWH): Factor Analytic Results From CHARTER and NNTC Cohorts.

Authors:  Pamela E May; Abigail J Heithoff; Christopher S Wichman; Vaishali S Phatak; David J Moore; Robert K Heaton; Howard S Fox
Journal:  J Acquir Immune Defic Syndr       Date:  2020-03-01       Impact factor: 3.771

Review 9.  Moving beyond the pros and cons of automating cognitive testing in pathological aging and dementia: the case for equal opportunity.

Authors:  Keith A Wesnes
Journal:  Alzheimers Res Ther       Date:  2014-08-29       Impact factor: 6.982

10.  Defining cognitive impairment in people-living-with-HIV: the POPPY study.

Authors:  Davide De Francesco; Jonathan Underwood; Frank A Post; Jaime H Vera; Ian Williams; Marta Boffito; Memory Sachikonye; Jane Anderson; Patrick W G Mallon; Alan Winston; Caroline A Sabin
Journal:  BMC Infect Dis       Date:  2016-10-28       Impact factor: 3.090

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