Literature DB >> 34398957

Baseline Neurocognitive Impairment (NCI) Is Associated With Incident Frailty but Baseline Frailty Does Not Predict Incident NCI in Older Persons With Human Immunodeficiency Virus (HIV).

Mary Clare Masters1, Jeremiah Perez2, Kunling Wu2, Ronald J Ellis3, Karl Goodkin4, Susan L Koletar5, Adriana Andrade6, Jingyan Yang7, Todd T Brown8, Frank J Palella1, Ned Sacktor8, Katherine Tassiopoulos2, Kristine M Erlandson9.   

Abstract

BACKGROUND: Neurocognitive impairment (NCI) and frailty are more prevalent among persons with human immunodeficiency virus (HIV, PWH) compared to those without HIV. Frailty and NCI often overlap with one another. Whether frailty precedes declines in neurocognitive function among PWH or vice versa has not been well established.
METHODS: AIDS Clinical Trials Group (ACTG) A5322 is an observational cohort study of older PWH. Participants undergo annual assessments for NCI and frailty. ACTG A5322 participants who developed NCI as indexed by tests of impaired executive functioning and processing speed during the first 3 years were compared to persons who maintained normal cognitive function; those who demonstrated resolution of NCI were compared to those who had persistent NCI. Participants were similarly compared by frailty trajectory. We fit multinomial logistic regression models to assess associations between baseline covariates (including NCI) and frailty, and associations between baseline covariates (including frailty) and NCI.
RESULTS: In total, 929 participants were included with a median age of 51 years (interquartile range [IQR] 46-56). At study entry, 16% had NCI, and 6% were frail. Over 3 years, 6% of participants developed NCI; 5% developed frailty. NCI was associated with development of frailty (odds ratio [OR] = 2.06; 95% confidence interval [CI] = .94, 4.48; P = .07). Further adjustment for confounding strengthened this association (OR = 2.79; 95% CI = 1.21, 6.43; P = .02). Baseline frailty however was not associated with NCI development.
CONCLUSIONS: NCI was associated with increased risk of frailty, but frailty was not associated with development of NCI. These findings suggest that the presence of NCI in PWH should prompt monitoring for the development of frailty and interventions to prevent frailty in this population.
© The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  HIV; aging; frailty; neurocognitive impairment

Mesh:

Year:  2021        PMID: 34398957      PMCID: PMC8499706          DOI: 10.1093/cid/ciab122

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   20.999


  41 in total

1.  CD4 nadir is a predictor of HIV neurocognitive impairment in the era of combination antiretroviral therapy.

Authors:  Ronald J Ellis; Jayraan Badiee; Florin Vaida; Scott Letendre; Robert K Heaton; David Clifford; Ann C Collier; Benjamin Gelman; Justin McArthur; Susan Morgello; J Allen McCutchan; Igor Grant
Journal:  AIDS       Date:  2011-09-10       Impact factor: 4.177

2.  Inflammation, Immune Activation, Immunosenescence, and Hormonal Biomarkers in the Frailty-Related Phenotype of Men With or at Risk for HIV Infection.

Authors:  Kristine M Erlandson; Derek K Ng; Lisa P Jacobson; Joseph B Margolick; Adrian S Dobs; Frank J Palella; Jordan E Lake; Hanhvy Bui; Lawrence Kingsley; Todd T Brown
Journal:  J Infect Dis       Date:  2017-01-15       Impact factor: 5.226

3.  Cognitive frailty: rational and definition from an (I.A.N.A./I.A.G.G.) international consensus group.

Authors:  E Kelaiditi; M Cesari; M Canevelli; G Abellan van Kan; P-J Ousset; S Gillette-Guyonnet; P Ritz; F Duveau; M E Soto; V Provencher; F Nourhashemi; A Salvà; P Robert; S Andrieu; Y Rolland; J Touchon; J L Fitten; B Vellas
Journal:  J Nutr Health Aging       Date:  2013-09       Impact factor: 4.075

4.  Objective and Subjective Improvement of Cognition After Discontinuing Efavirenz in Asymptomatic Patients: A Randomized Controlled Trial.

Authors:  Charlotte S Hakkers; Joop E Arends; Guido E van den Berk; Monique H M Ensing; Imke Hooijenga; Matthijs Vink; Martine J E van Zandvoort; Andy I M Hoepelman
Journal:  J Acquir Immune Defic Syndr       Date:  2019-01-01       Impact factor: 3.731

5.  Long-term metformin usage and cognitive function among older adults with diabetes.

Authors:  Tze Pin Ng; Liang Feng; Keng Bee Yap; Tih Shih Lee; Chay Hoon Tan; Bengt Winblad
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

6.  Cognitive function, gait speed decline, and comorbidities: the health, aging and body composition study.

Authors:  Hal H Atkinson; Caterina Rosano; Eleanor M Simonsick; Jeff D Williamson; Cralen Davis; Walter T Ambrosius; Stephen R Rapp; Matteo Cesari; Anne B Newman; Tamara B Harris; Susan M Rubin; Kristine Yaffe; Suzanne Satterfield; Stephen B Kritchevsky
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2007-08       Impact factor: 6.053

7.  Co-occurrence of cognitive impairment and physical frailty, and incidence of dementia: Systematic review and meta-analysis.

Authors:  Giulia Grande; Miriam L Haaksma; Debora Rizzuto; René J F Melis; Alessandra Marengoni; Graziano Onder; Anna-Karin Welmer; Laura Fratiglioni; Davide L Vetrano
Journal:  Neurosci Biobehav Rev       Date:  2019-09-03       Impact factor: 8.989

8.  Effects of growth hormone–releasing hormone on cognitive function in adults with mild cognitive impairment and healthy older adults: results of a controlled trial.

Authors:  Laura D Baker; Suzanne M Barsness; Soo Borson; George R Merriam; Seth D Friedman; Suzanne Craft; Michael V Vitiello
Journal:  Arch Neurol       Date:  2012-11

9.  Antineuroinflammatory drugs in HIV-associated neurocognitive disorders as potential therapy.

Authors:  Björn Ambrosius; Ralf Gold; Andrew Chan; Simon Faissner
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2019-04-04

Review 10.  The dynamic relationship between physical function and cognition in longitudinal aging cohorts.

Authors:  Sean A P Clouston; Paul Brewster; Diana Kuh; Marcus Richards; Rachel Cooper; Rebecca Hardy; Marcie S Rubin; Scott M Hofer
Journal:  Epidemiol Rev       Date:  2013-01-24       Impact factor: 6.222

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