학술논문

Cognitive Trajectory Phenotypes in Human Immunodeficiency Virus-Infected Patients.
Document Type
article
Source
JAIDS Journal of Acquired Immune Deficiency Syndromes. 82(1)
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Mental Health
HIV/AIDS
Brain Disorders
Behavioral and Social Science
Neurosciences
Clinical Research
Mind and Body
Acquired Cognitive Impairment
Aetiology
2.1 Biological and endogenous factors
Neurological
Mental health
Adult
Antirheumatic Agents
Cognition
Cognitive Dysfunction
Cohort Studies
Electronic Data Processing
Executive Function
Female
HIV Infections
Humans
Learning
Male
Memory
Short-Term
Mental Recall
Middle Aged
Neuropsychological Tests
Phenotype
Prevalence
Speech Disorders
Verbal Learning
HIV
AIDS
cognition
HAND
phenotypes
machine learning
Public Health and Health Services
Virology
Clinical sciences
Epidemiology
Public health
Language
Abstract
ObjectiveThe presentation of cognitive impairments in HIV-infected individuals has transformed since the introduction of antiretroviral therapies. Although the overall prevalence of cognitive impairments has not changed considerably, frank dementia is now infrequent, and milder forms of cognitive impairments predominate. Mechanistic insights to the underlying causes of these residual cognitive impairments have been elusive, in part due to the heterogenous etiology of cognitive dysfunction in this population. Here, we sought to categorize longitudinal change in HIV-infected patients based on the performance in specific cognitive domains.DesignThis study consisted of 193 participants from the CHARTER cohort with detailed demographic, clinical, and neuropsychological testing data obtained from 2 study visits interspersed by ∼6 months. Cognitive testing assessed executive function, learning and delayed recall, working memory, verbal fluency, speed of information processing, and motor skills. Change scores were calculated for each domain between the 2 study visits. Dimension reduction and clustering was accomplished by principal component analysis of change scores and k-means clustering to identify cognitive domains that group together and groups of subjects with similar patterns of change.ResultsWe identified 4 distinct cognitive change phenotypes that included declines in: (1) verbal fluency, (2) executive function (3) learning and recall, and (4) motor function, with approximately equal numbers of participants in each phenotype.ConclusionsEach of the 4 cognitive change phenotypes identify deficits that imply perturbations in specific neural networks. Future studies will need to validate if cognitive change phenotypes are associated with alterations in associated neural pathways.