Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Tsoi KK, Chan JY, Hirai HW, Wong A, Mok VC, Lam LC, Kwok TC, Wong SY. Recall Tests Are Effective to Detect Mild Cognitive Impairment: A Systematic Review and Meta-analysis of 108 Diagnostic Studies. J Am Med Dir Assoc 2017;18:807.e17-807.e29. [DOI: 10.1016/j.jamda.2017.05.016] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2017] [Revised: 05/17/2017] [Accepted: 05/18/2017] [Indexed: 11/25/2022]

For:	Tsoi KK, Chan JY, Hirai HW, Wong A, Mok VC, Lam LC, Kwok TC, Wong SY. Recall Tests Are Effective to Detect Mild Cognitive Impairment: A Systematic Review and Meta-analysis of 108 Diagnostic Studies. J Am Med Dir Assoc 2017;18:807.e17-807.e29. [DOI: 10.1016/j.jamda.2017.05.016] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2017] [Revised: 05/17/2017] [Accepted: 05/18/2017] [Indexed: 11/25/2022]

Number

Cited by Other Article(s)

Yoo C, Maury J, Gonzalez DE, Ko J, Xing D, Jenkins V, Dickerson B, Leonard M, Estes L, Johnson S, Chun J, Broeckel J, Pradelles R, Sowinski R, Rasmussen CJ, Kreider RB. Effects of Supplementation with a Microalgae Extract from Phaeodactylum tricornutum Containing Fucoxanthin on Cognition and Markers of Health in Older Individuals with Perceptions of Cognitive Decline. Nutrients 2024;16:2999. [PMID: 39275314 PMCID: PMC11397347 DOI: 10.3390/nu16172999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 08/29/2024] [Accepted: 08/31/2024] [Indexed: 09/16/2024] Open

Abstract

Phaeodactylum tricornutum (PT) is a microalgae extract that contains fucoxanthin and has been shown to enhance cognitive function in younger populations. The present study assessed if PT supplementation affects cognition in healthy, young-old, physically active adults with self-perceptions of cognitive and memory decline.

METHODS

Forty-three males and females (64.3 ± 6.0 years, 79.8 ± 16.0 kg, 27.0 ± 4.0 kg/m2) with perceptions of cognitive and memory decline completed the double-blind, randomized, parallel-arm, placebo-controlled intervention clinical trial. Participants were counterbalanced by sex and BMI and randomly allocated to their respective 12-week supplementation interventions, which were either the placebo (PL) or 1100 mg/day of PT containing 8.8 mg of fucoxanthin (FX). Fasting blood samples were collected, and cognitive assessments were performed during the testing session at 0, 4, and 12 weeks of intervention. The data were analyzed by multivariate and univariate general linear model (GLM) analyses with repeated measures, pairwise comparisons, and mean changes from baseline analysis with 95% confidence intervals (CIs) to assess the clinical significance of the findings.

RESULTS

FX supplementation significantly affected (p < 0.05) or exhibited tendencies toward significance (p > 0.05 to p < 0.10 with effect sizes ranging from medium to large) for word recall, picture recognition reaction time, Stroop color-word test, choice reaction time, and digit vigilance test variables. Additionally, FX supplementation promoted a more consistent clinical improvement from baseline values when examining mean changes with 95% CIs, although most differences were seen over time rather than between groups.

CONCLUSIONS

The results demonstrate some evidence that FX supplementation can improve working and secondary memory, vigilance, attention, accuracy, and executive function. There was also evidence that FX promoted more positive effects on insulin sensitivity and perceptions about sleep quality with no negative effects on clinical blood panels or perceived side effects. Additional research should investigate how FX may affect cognition in individuals perceiving memory and cognitive decline. Registered clinical trial #NCT05759910.

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Affiliation(s)

Choongsung Yoo Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Jonathan Maury Research & Development Department, Microphyt, 34670 Baillargues, France; (J.M.); (R.P.)
Drew E. Gonzalez Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Joungbo Ko Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Dante Xing Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Victoria Jenkins Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Broderick Dickerson Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Megan Leonard Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Landry Estes Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Sarah Johnson Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Jisun Chun Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Jacob Broeckel Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Rémi Pradelles Research & Development Department, Microphyt, 34670 Baillargues, France; (J.M.); (R.P.)
Ryan Sowinski Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Christopher J. Rasmussen Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)
Richard B. Kreider Exercise & Sport Nutrition Lab., Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (C.Y.); (D.E.G.); (J.K.); (D.X.); (V.J.); (B.D.); (M.L.); (L.E.); (S.J.); (J.C.); (J.B.); (R.S.); (C.J.R.)

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Cai X, Bai X, Zhou S. Childhood adversities and memory function in later life: the mediating role of activity participation. BMC Geriatr 2024;24:536. [PMID: 38902657 PMCID: PMC11191259 DOI: 10.1186/s12877-024-05145-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 06/13/2024] [Indexed: 06/22/2024] Open

Zhu W, Zhou X, Ren M, Yin W, Tang Y, Yin J, Sun Y, Zhu X, Sun Z. Process approach as a cognitive biomarker related to gray matter volume in mild cognitive impairment and Alzheimer's disease. BMC Neurol 2024;24:199. [PMID: 38872077 PMCID: PMC11170873 DOI: 10.1186/s12883-024-03711-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 06/04/2024] [Indexed: 06/15/2024] Open

Leonard M, Dickerson B, Estes L, Gonzalez DE, Jenkins V, Johnson S, Xing D, Yoo C, Ko J, Purpura M, Jäger R, Faries M, Kephart W, Sowinski R, Rasmussen CJ, Kreider RB. Acute and Repeated Ashwagandha Supplementation Improves Markers of Cognitive Function and Mood. Nutrients 2024;16:1813. [PMID: 38931168 PMCID: PMC11207027 DOI: 10.3390/nu16121813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/03/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open

Abstract

BACKGROUND

Ashwagandha has been reported to reduce stress and attenuate cognitive decline associated with inflammation and neurodegeneration in clinical populations. However, the effects as a potential nootropic nutrient in younger populations are unclear. This study examined the effects of liposomal ashwagandha supplementation on cognitive function, mood, and markers of health and safety in healthy young men and women.

METHODS

59 men and women (22.7 ± 7 yrs., 74.9 ± 16 kg, 26.2 ± 5 BMI) fasted for 12 h, donated a fasting blood sample, and were administered the COMPASS cognitive function test battery (Word Recall, Word recognition, Choice Reaction Time Task, Picture Recognition, Digit Vigilance Task, Corsi Block test, Stroop test) and profile of mood states (POMS). In a randomized and double-blind manner, participants were administered 225 mg of a placebo (Gum Arabic) or ashwagandha (Withania somnifera) root and leaf extract coated with a liposomal covering. After 60-min, participants repeated cognitive assessments. Participants continued supplementation (225 mg/d) for 30 days and then returned to the lab to repeat the experiment. Data were analyzed using a general linear model (GLM) univariate analysis with repeated measures and pairwise comparisons of mean changes from baseline with 95% confidence intervals (CI).

RESULTS

Ashwagandha supplementation improved acute and/or 30-day measures of Word Recall (correct and recalled attempts), Choice Reaction Time (targets identified), Picture Recognition ("yes" correct responses, correct and overall reaction time), Digit Vigilance (correct reaction time), Stroop Color-Word (congruent words identified, reaction time), and POMS (tension and fatigue) from baseline more consistently with several differences observed between groups.

CONCLUSION

Results support contentions that ashwagandha supplementation (225 mg) may improve some measures of memory, attention, vigilance, attention, and executive function while decreasing perceptions of tension and fatigue in younger healthy individuals. Retrospectively registered clinical trial ISRCTN58680760.

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Affiliation(s)

Megan Leonard Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Broderick Dickerson Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Landry Estes Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Drew E. Gonzalez Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Victoria Jenkins Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Sarah Johnson Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Dante Xing Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Choongsung Yoo Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Joungbo Ko Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Martin Purpura Increnovo LLC, Whitefish Bay, WI 53217, USA; (M.P.); (R.J.)
Ralf Jäger Increnovo LLC, Whitefish Bay, WI 53217, USA; (M.P.); (R.J.)
Mark Faries Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.) Texas A&M AgriLife Extension, Texas A&M University, College Station, TX 77843, USA
Wesley Kephart Department of Kinesiology, University of Wisconsin—Whitewater, Whitewater, WI 53190, USA;
Ryan Sowinski Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Christopher J. Rasmussen Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)
Richard B. Kreider Exercise & Sport Nutrition Lab, Department of Kinesiology and Sports Management, Texas A&M University, College Station, TX 77843, USA; (M.L.); (B.D.); (L.E.); (D.E.G.); (V.J.); (S.J.); (D.X.); (C.Y.); (J.K.); (M.F.); (R.S.); (C.J.R.)

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Garbóczy S, Mohos A, Égerházi A, Szemán-Nagy A, Zsuffa JA, Heim S, Rekenyi V, Kolozsvári LR. Exploration of the Hungarian Version of Test Your Memory in General Practice: A Cross-Sectional Correlational Study of a Convenience Sample of Middle-Aged and Older Adults. Geriatrics (Basel) 2024;9:74. [PMID: 38920430 PMCID: PMC11202907 DOI: 10.3390/geriatrics9030074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 05/22/2024] [Accepted: 05/30/2024] [Indexed: 06/27/2024] Open

Peng J, Mai Y, Liu J. Guideline for the cognitive assessment and follow-up in the Guangdong-Hong Kong-Macao Greater Bay Area (2024 edition). Aging Med (Milton) 2024;7:258-268. [PMID: 38975298 PMCID: PMC11222743 DOI: 10.1002/agm2.12325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/10/2024] [Accepted: 05/29/2024] [Indexed: 07/09/2024] Open

Stafford J, Dekhtyar S, Welmer AK, Vetrano DL, Grande G, Laukka EJ, Marseglia A, Moulton V, Mansfield R, Liu Y, Ning K, Wolf-Ostermann K, Brodaty H, Samtani S, Ikram MA, Melis R, Rymaszewska J, Szcześniak D, Di Gessa G, Richards M, Davis D, Patalay P, Maddock J. Social health and subsequent cognitive functioning in people aged 50 years and older: examining the mediating roles of depressive symptoms and inflammatory biomarkers in two European longitudinal studies. THE LANCET. HEALTHY LONGEVITY 2024;5:e356-e369. [PMID: 38705153 DOI: 10.1016/s2666-7568(24)00046-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 03/11/2024] [Accepted: 03/11/2024] [Indexed: 05/07/2024] Open

Abstract

BACKGROUND

Social health markers, including marital status, contact frequency, network size, and social support, have been shown to be associated with cognition. However, the mechanisms underlying these associations remain poorly understood. We investigated whether depressive symptoms and inflammation mediated associations between social health and subsequent cognition.

METHODS

In the English Longitudinal Study of Ageing (ELSA), a nationally representative longitudinal study in England, UK, we sampled 7136 individuals aged 50 years or older living in private households without dementia at baseline or at the intermediate mediator assessment timepoint, who had recorded information on at least one social health marker and potential mediator. We used four-way decomposition to examine to what extent depressive symptoms, C-reactive protein, and fibrinogen mediated associations between social health and subsequent standardised cognition (verbal fluency and delayed and immediate recall), including cognitive change, with slopes derived from multilevel models (12-year slope). We examined whether findings were replicated in the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), a population-based longitudinal study in Sweden, in a sample of 2604 individuals aged 60 years or older living at home or in institutions in Kungsholmen (central Stockholm) without dementia at baseline or at the intermediate mediator assessment timepoint (6-year slope). Social health exposures were assessed at baseline, potential mediators were assessed at an intermediate timepoint (wave 2 in ELSA and 6-year follow-up in SNAC-K); cognitive outcomes were assessed at a single timepoint (wave 3 in ELSA and 12-year follow-up in SNAC-K), and cognitive change (between waves 3 and 9 in ELSA and between 6-year and 12-year follow-ups in SNAC-K).

FINDINGS

The study sample included 7136 participants from ELSA, of whom 3962 (55·5%) were women and 6934 (97·2%) were White; the mean baseline age was 63·8 years (SD 9·4). Replication analyses included 2604 participants from SNAC-K, of whom 1604 (61·6%) were women (SNAC-K did not collect ethnicity data); the mean baseline age was 72·3 years (SD 10·1). In ELSA, we found indirect effects via depressive symptoms of network size, positive support, and less negative support on subsequent verbal fluency, and of positive support on subsequent immediate recall (pure indirect effect [PIE] 0·002 [95% CI 0·001-0·003]). Depressive symptoms also partially mediated associations between less negative support and slower decline in immediate recall (PIE 0·001 [0·000-0·002]) and in delayed recall (PIE 0·001 [0·000-0·002]), and between positive support and slower decline in immediate recall (PIE 0·001 [0·000-0·001]). We did not observe mediation by inflammatory biomarkers. Findings of mediation by depressive symptoms in the association between positive support and verbal fluency and between positive support and change in immediate recall were replicated in SNAC-K.

INTERPRETATION

The findings of this study provide new insights into mechanisms linking social health with cognition, suggesting that associations between interactional aspects of social health, especially social support, and cognition are partly underpinned by depressive symptoms.

FUNDING

EU Joint Programme-Neurodegenerative Disease Research (JPND) and Alzheimer's Society.

TRANSLATION

For the Swedish translation of the abstract see Supplementary Materials section.

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Affiliation(s)

Jean Stafford MRC Unit for Lifelong Health and Ageing at UCL, Faculty of Population Health Sciences, University College London, London, UK.
Serhiy Dekhtyar Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
Anna-Karin Welmer Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit, Medical Psychology, Karolinska University Hospital, Stockholm, Sweden; Stockholm Gerontology Research Centre, Stockholm, Sweden
Davide L Vetrano Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
Giulia Grande Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
Erika J Laukka Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Centre, Stockholm, Sweden
Anna Marseglia Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
Vanessa Moulton Centre for Longitudinal Studies, UCL Institute of Education, University College London, London, UK
Rosie Mansfield Centre for Longitudinal Studies, UCL Institute of Education, University College London, London, UK
Yiwen Liu MRC Unit for Lifelong Health and Ageing at UCL, Faculty of Population Health Sciences, University College London, London, UK
Ke Ning Division of Community Medicine and Public Health Practice, School of Public Health, University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
Karin Wolf-Ostermann Institute for Public Health and Nursing Research, University of Bremen, Bremen, Germany; Leibniz Science Campus Digital Public Health, Bremen, Germany
Henry Brodaty Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
Suraj Samtani Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
Mohammad Arfan Ikram Department of Epidemiology, Erasmus MC Rotterdam, Rotterdam, Netherlands
René Melis Department of Geriatric Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
Joanna Rymaszewska Department of Clinical Neuroscience, Faculty of Medicine, Wrocław University of Science and Technology, Wrocław, Poland
Dorota Szcześniak Division of Psychotherapy and Somatic Medicine, Department of Psychiatry, Wrocław Medical University, Wrocław, Poland
Giorgio Di Gessa UCL Research Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London, UK
Marcus Richards MRC Unit for Lifelong Health and Ageing at UCL, Faculty of Population Health Sciences, University College London, London, UK
Daniel Davis MRC Unit for Lifelong Health and Ageing at UCL, Faculty of Population Health Sciences, University College London, London, UK
Praveetha Patalay MRC Unit for Lifelong Health and Ageing at UCL, Faculty of Population Health Sciences, University College London, London, UK; Centre for Longitudinal Studies, UCL Institute of Education, University College London, London, UK
Jane Maddock MRC Unit for Lifelong Health and Ageing at UCL, Faculty of Population Health Sciences, University College London, London, UK

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Shang J, Dong J, Zhu S, Chen Q, Hua J. Trends in cognitive function before and after myocardial infarction: findings from the China Health and Retirement Longitudinal Study. Front Aging Neurosci 2024;16:1283997. [PMID: 38455665 PMCID: PMC10917921 DOI: 10.3389/fnagi.2024.1283997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 02/05/2024] [Indexed: 03/09/2024] Open

Abstract

Objectives

Incident stroke was associated with cognitive dysfunction after stroke and even before stroke. However, cognitive trends prior to myocardial infarction (MI) and the timeline of cognitive decline in a few years following incident MI remain unclear, especially among the Chinese population. We aimed to evaluate whether MI was associated with cognitive change both before and after MI in China.

Methods

This cohort study included 11,287 participants without baseline heart problems or stroke from the China Health and Retirement Longitudinal Study. The exposure was self-reported MI. The outcomes were scores of cognitive functions in five domains, which reflected abilities of episodic memory, visuospatial abilities, orientation, attention and calculation, and global cognition as a summary measure. A Linear mixed model was constructed to explore cognitive function before and after incident MI among the MI participants and the cognitive trends of participants free of MI.

Results

During the 7-year follow-up, 421 individuals [3.7% of 11,287, mean (SD) age, 60.0 (9.0) years; 59.1% female] experienced MI events. The cognitive scores of participants of both the MI group and the control group without MI declined gradually as time went by. The annual decline rate of the MI group before incident MI was similar to that of the control group during the whole follow-up period. Incident MI was not associated with acute cognitive decline in all five cognitive domains. Moreover, MI did not accelerate the cognitive decline rate after MI compared with the pre-MI cognitive trends. The decline rate of cognitive function after MI was similar to the rate before MI.

Conclusions

Different from stroke, participants who had an MI did not show steeper cognitive decline before MI. MI was not associated with acute cognitive decline and accelerated decline in several years after MI. Future studies are needed to learn the mechanisms behind the different patterns of cognitive decline between MI and stroke.

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Khatun S, Morshed BI, Bidelman GM. Monitoring Disease Severity of Mild Cognitive Impairment from Single-Channel EEG Data Using Regression Analysis. SENSORS (BASEL, SWITZERLAND) 2024;24:1054. [PMID: 38400211 PMCID: PMC10893543 DOI: 10.3390/s24041054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/28/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024]

Cattaneo G, Roca-Ventura A, Heras E, Anglada M, Missé J, Ulloa E, Fankhauser S, Opisso E, García-Molina A, Solana-Sánchez J. Investigating the application of "Guttmann Cognitest"^® in older adults and people with acquired brain injury. Front Neurol 2024;14:1292960. [PMID: 38259648 PMCID: PMC10800697 DOI: 10.3389/fneur.2023.1292960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 12/13/2023] [Indexed: 01/24/2024] Open

Affiliation(s)

Gabriele Cattaneo Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Spain Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
Alba Roca-Ventura Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Spain Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
Eva Heras Servei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Andorra la Vella, Andorra
Maria Anglada Servei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Andorra la Vella, Andorra
Jan Missé Servei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Andorra la Vella, Andorra
Encarnació Ulloa Servei Envelliment i Salut Servei Andorrà d'Atenció Sanitària, Andorra la Vella, Andorra
Simon Fankhauser Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Spain Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
Eloy Opisso Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Spain Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
Alberto García-Molina Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Spain Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
Javier Solana-Sánchez Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Spain Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain

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Lorenzo-Mora AM, López-Sobaler AM, Bermejo LM, González-Rodríguez LG, Cuadrado-Soto E, Peral-Suárez Á, Salas-González MD, Delgado-Losada ML, Rodríguez-Rojo IC, Barabash A, Maestú-Unturbe F, Aparicio A. Association between Mineral Intake and Cognition Evaluated by Montreal Cognitive Assessment (MoCA): A Cross-Sectional Study. Nutrients 2023;15:4505. [PMID: 37960158 PMCID: PMC10648921 DOI: 10.3390/nu15214505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/27/2023] [Accepted: 10/20/2023] [Indexed: 11/15/2023] Open

Affiliation(s)

Ana M. Lorenzo-Mora Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.)
Ana M. López-Sobaler Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.) VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain; San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;
Laura M. Bermejo Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.) VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain; San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;
Liliana G. González-Rodríguez Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.) VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
Esther Cuadrado-Soto Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.) VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
África Peral-Suárez Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.) School of Sport, Exercise and Health Sciences, Loughborough LE11 3TU, UK
María Dolores Salas-González Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.) VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain;
María Luisa Delgado-Losada VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain; San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid, 28223 Madrid, Spain
Inmaculada C. Rodríguez-Rojo Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223 Madrid, Spain; Department of Nursing and Physiotherapy, Faculty of Medicine and Health Sciences, Universidad de Alcalá, 28871 Madrid, Spain
Ana Barabash Faculty of Medicine, Department of Medicine, Complutense University of Madrid, 28040 Madrid, Spain; Endocrinology and Nutrition Department, Hospital Clínico Universitario San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
Fernando Maestú-Unturbe San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid, 28223 Madrid, Spain Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223 Madrid, Spain;
Aránzazu Aparicio Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, 28040 Madrid, Spain; (A.M.L.-M.); (A.M.L.-S.); (L.M.B.); (E.C.-S.); (Á.P.-S.); (M.D.S.-G.); (A.A.) VALORNUT Research Group, Complutense University of Madrid, 28040 Madrid, Spain; San Carlos Health Research Institute (IdISSC), 28040 Madrid, Spain;

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Rakutt MJ, Mace RA, Conley CEW, Stone AV, Duncan ST, Greenberg J, Landy DC, Vranceanu AM, Jacobs CA. Association of Osteoarthritis and Functional Limitations With Cognitive Impairment Among Older Adults in the United States. J Aging Health 2023;35:643-650. [PMID: 36680455 PMCID: PMC10940858 DOI: 10.1177/08982643231153459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]

Li F, Miao M, Li N, Zhou J, Sun M, Zhang J. Prevalence of preoperative cognitive impairment among elderly thoracic surgery patients and association with postoperative delirium: a prospective observational study. Front Hum Neurosci 2023;17:1234018. [PMID: 37545595 PMCID: PMC10397730 DOI: 10.3389/fnhum.2023.1234018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open

Cui L, Zhang Z, Huang L, Li Q, Guo YH, Guo QH. Dual-stage cognitive assessment: a two-stage screening for cognitive impairment in primary care. BMC Psychiatry 2023;23:368. [PMID: 37231438 DOI: 10.1186/s12888-023-04883-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/17/2023] [Indexed: 05/27/2023] Open

Abstract

BACKGROUND

Aging population has led to an increased proportion of older adults and cognitively impaired. We designed a brief and flexible two-stage cognitive screening scale, the Dual-Stage Cognitive Assessment (DuCA), for cognitive screening in primary care settings.

METHOD

In total, 1,772 community-dwelling participants were recruited, including those with normal cognition (NC, n = 1,008), mild cognitive impairment (MCI, n = 633), and Alzheimer's disease (AD, n = 131), and administered a neuropsychological test battery and the DuCA. To improve performance, the DuCA combines visual and auditory memory tests for an enhanced memory function test.

RESULTS

The correlation coefficient between DuCA-part 1 and DuCA-total was 0.84 (P < 0.001). The correlation coefficients of DuCA-part 1 with Addenbrooke's Cognitive Examination III (ACE-III) and Montreal Cognitive Assessment Basic (MoCA-B) were 0.66 (P < 0.001) and 0.85 (P < 0.001), respectively. The correlation coefficients of DuCA-total with ACE-III and MoCA-B were 0.78 (P < 0.001) and 0.83 (P < 0.001), respectively. DuCA-Part 1 showed a similar discrimination ability for MCI from NC (area under curve [AUC] = 0.87, 95%CI 0.848-0.883) as ACE III (AUC = 0.86, 95%CI 0.838-0.874) and MoCA-B (AUC = 0.85, 95%CI 0.830-0.868). DuCA-total had a higher AUC (0.93, 95%CI: 0.917-0.942). At different education levels, the AUC was 0.83-0.84 for DuCA-part 1, and 0.89-0.94 for DuCA-total. DuCA-part 1 and DuCA-total's ability to discriminate AD from MCI was 0.84 and 0.93, respectively.

CONCLUSION

DuCA-Part 1 would aid rapid screening and supplemented with the second part for a complete assessment. DuCA is suited for large-scale cognitive screening in primary care, saving time and eliminating the need for extensively training assessors.

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Kim J, Hwang SY, Kim SH, Shim JL. Structural Relationships Between Cognitive Function, Depressive Symptoms, Self-Care Confidence, and Maintenance in Patients With Heart Failure. SAGE Open Nurs 2023;9:23779608231196665. [PMID: 37691722 PMCID: PMC10483967 DOI: 10.1177/23779608231196665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 07/31/2023] [Accepted: 08/05/2023] [Indexed: 09/12/2023] Open

Li B, Ji S, Peng A, Yang N, Zhao X, Feng P, Zhang Y, Chen L. Development of a Gastrointestinal-Myoelectrical-Activity-Based Nomogram Model for Predicting the Risk of Mild Cognitive Impairment. Biomolecules 2022;12:biom12121861. [PMID: 36551289 PMCID: PMC9775682 DOI: 10.3390/biom12121861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/05/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open

Casanova-Muñoz V, Hernández-Ruiz Á, Durantez-Fernández C, López-Mongil R, Niño-Martín V. Descripción y aplicación clínica de las escalas de valoración geriátrica integral: una revisión sistemática rápida de revisiones. Rev Clin Esp 2022. [DOI: 10.1016/j.rce.2022.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]

Casanova-Muñoz V, Hernández-Ruiz Á, Durantez-Fernández C, López-Mongil R, Niño-Martín V. Description and clinical application of comprehensive geriatric assessment scales: A rapid systematic review of reviews. Rev Clin Esp 2022;222:417-431. [PMID: 35504782 DOI: 10.1016/j.rceng.2022.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/26/2022] [Indexed: 11/30/2022]

McBean L, O'Reilly S. Diet quality interventions to prevent neurocognitive decline: a systematic review and meta-analysis. Eur J Clin Nutr 2022;76:1060-1072. [PMID: 34732834 DOI: 10.1038/s41430-021-01032-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 10/05/2021] [Accepted: 10/11/2021] [Indexed: 11/09/2022]

Abstract

OBJECTIVE

To determine the impact of diet quality interventions on neurocognitive decline in older adults.

DESIGN

Four databases were searched (Medline, EMBASE, CENTRAL and PsycINFO) for randomised controlled trials involving diet quality interventions and cognitive outcomes in older adults. Study quality was assessed using the Cochrane Risk of Bias tool. Outcomes selected for meta-analysis were memory and executive function, for which standardised mean differences (SMD) were calculated. Subgroup and sensitivity analyses were undertaken to explore causes of heterogeneity. Additional outcomes of global cognitive function, incident dementia, attention, language/verbal fluency, and processing speed were narratively synthesised.

RESULTS

Twelve studies were included, investigating the Mediterranean, Dietary Approaches to Stop Hypertension and Nordic diets. Risk of bias varied across studies. Dietary intervention had a significant effect on memory (SMD: 0.98; 95% CI: 0.39, 1.57; p = 0.001) and executive function (SMD: 2.02; 95% CI: 1.04, 3.01; p < 0.00001), although neither outcome was significant in sensitivity analyses. Heterogeneity was high (I² = 99%) prior to sensitivity analyses and low (I² = 0%) after. Results for narratively synthesised cognitive measures were inconsistent with no clear direction of effect.

CONCLUSION

The current body of evidence would suggest the effect of dietary intervention on neurocognitive decline in older adults is unclear given the considerable heterogeneity and bias present across studies. These findings should be interpreted with consideration to the limited number of studies that could be included and the large variation in study designs. Further randomised controlled trials with harmonised cognitive outcomes and assessments are needed to clarify direction of effect.

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Ho KHM, Cheung DSK, Lee PH, Lam SC, Kwan RYC. Co-living with migrant domestic workers is associated with a lower level of loneliness among community-dwelling older adults: A cross-sectional study. HEALTH & SOCIAL CARE IN THE COMMUNITY 2022;30:e1123-e1133. [PMID: 34288198 DOI: 10.1111/hsc.13520] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 06/02/2021] [Accepted: 07/07/2021] [Indexed: 06/13/2023]

Chen MZ, Chan YH, Wong MWK, Merchant RA. Comparison of Rapid Cognitive Screen against Montreal Cognitive Assessment in screening for cognitive impairment in the old and old-old. Psychogeriatrics 2022;22:460-468. [PMID: 35577347 PMCID: PMC9325369 DOI: 10.1111/psyg.12841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 04/12/2022] [Indexed: 11/27/2022]

Tristancho-Pérez Á, Villalba-Moreno Á, López-Malo de Molina MD, Santos-Ramos B, Sánchez-Fidalgo S. The Predictive Value of Anticholinergic Burden Measures in Relation to Cognitive Impairment in Older Chronic Complex Patients. J Clin Med 2022;11:jcm11123357. [PMID: 35743428 PMCID: PMC9224688 DOI: 10.3390/jcm11123357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/08/2022] [Accepted: 06/09/2022] [Indexed: 11/16/2022] Open

Screening for neuropsychological assessment in the diagnostics of neurocognitive disorder. Int Psychogeriatr 2022;34:519-521. [PMID: 35331358 DOI: 10.1017/s104161022200031x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]

Hartle L, Martorelli M, Balboni G, Souza R, Charchat-Fichman H. Diagnostic accuracy of CompCog: reaction time as a screening measure for mild cognitive impairment. ARQUIVOS DE NEURO-PSIQUIATRIA 2022;80:570-579. [PMID: 35946705 PMCID: PMC9387195 DOI: 10.1590/0004-282x-anp-2021-0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 08/23/2021] [Accepted: 08/31/2021] [Indexed: 06/15/2023]

Bat BKK, Chan JYC, Chan TK, Huo Z, Yip BHK, Wong MCS, Tsoi KKF. Comparing drawing under instructions with image copying for mild cognitive impairment (MCI) or dementia screening: a meta-analysis of 92 diagnostic studies. Aging Ment Health 2022;26:1019-1026. [PMID: 33999724 DOI: 10.1080/13607863.2021.1922599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]

Torabinikjeh M, Asayesh V, Dehghani M, Kouchakzadeh A, Marhamati H, Gharibzadeh S. Correlations of frontal resting-state EEG markers with MMSE scores in patients with Alzheimer’s disease. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2022. [DOI: 10.1186/s41983-022-00465-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open

Abstract Abstract Background A previous study suggests that resting-state EEG biomarkers measured at prefrontal region (Fp1, and Fp2) are moderately correlated with Mini-Mental State Examination (MMSE) scores of elderly people with Alzheimer’s disease. In this study, our objective was to investigate whether resting-state EEG biomarkers recorded from frontal region are correlated with each MMSE sub-scores. 20 elderly patients diagnosed as Alzheimer’s disease entered to the study. After completion of MMSE, subjects underwent EEG for 5 min with closed eyes condition. We measured median frequency, theta/alpha power ratio, and relative powers. To examine the relationship between these features and MMSE sub-scores first, Pearson correlation coefficients were computed for each feature and MMSE sub-scores. Then, p values were computed for each correlation. Finally, a Bonferroni correction was done. Results Nine correlations have been found for markers recorded from F3, F7, and Fz. Alpha and beta relative powers were the markers which shows correlations. We found that MMSE overall, attention, and calculation scores are significantly correlated with beta relative powers recorded from F3, and Fz, and alpha relative power from F7. Orientation to time scores were correlated with F3, and Fz beta relative powers. The only correlation found for orientation to place was beta relative power of F3. Conclusions Our results indicate that there are correlations between frontal EEG markers and MMSE sub-scores of patients with Alzheimer’s disease. The results show that alpha and beta relative powers are markers correlated with MMSE scores. It seems that if we want to develop predicting models for Alzheimer’s disease, using data recorded from other frontal electrodes, especially what we have introduced should be considered. Collapse

Statsenko Y, Habuza T, Gorkom KNV, Zaki N, Almansoori TM, Al Zahmi F, Ljubisavljevic MR, Belghali M. Proportional Changes in Cognitive Subdomains During Normal Brain Aging. Front Aging Neurosci 2021;13:673469. [PMID: 34867263 PMCID: PMC8634589 DOI: 10.3389/fnagi.2021.673469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 09/20/2021] [Indexed: 11/13/2022] Open

Abstract

Background: Neuroscience lacks a reliable method of screening the early stages of dementia. Objective: To improve the diagnostics of age-related cognitive functions by developing insight into the proportionality of age-related changes in cognitive subdomains. Materials and Methods: We composed a battery of psychophysiological tests and collected an open-access psychophysiological outcomes of brain atrophy (POBA) dataset by testing individuals without dementia. To extend the utility of machine learning (ML) classification in cognitive studies, we proposed estimates of the disproportional changes in cognitive functions: an index of simple reaction time to decision-making time (ISD), ISD with the accuracy performance (ISDA), and an index of performance in simple and complex visual-motor reaction with account for accuracy (ISCA). Studying the distribution of the values of the indices over age allowed us to verify whether diverse cognitive functions decline equally throughout life or there is a divergence in age-related cognitive changes. Results: Unsupervised ML clustering shows that the optimal number of homogeneous age groups is four. The sample is segregated into the following age-groups: Adolescents ∈ [0, 20), Young adults ∈ [20, 40), Midlife adults ∈ [40, 60) and Older adults ≥60 year of age. For ISD, ISDA, and ISCA values, only the median of the Adolescents group is different from that of the other three age-groups sharing a similar distribution pattern (p > 0.01). After neurodevelopment and maturation, the indices preserve almost constant values with a slight trend toward functional decline. The reaction to a moving object (RMO) test results (RMO_mean) follow another tendency. The Midlife adults group's median significantly differs from the remaining three age subsamples (p < 0.01). No general trend in age-related changes of this dependent variable is observed. For all the data (ISD, ISDA, ISCA, and RMO_mean), Levene's test reveals no significant changes of the variances in age-groups (p > 0.05). Homoscedasticity also supports our assumption about a linear dependency between the observed features and age. Conclusion: In healthy brain aging, there are proportional age-related changes in the time estimates of information processing speed and inhibitory control in task switching. Future studies should test patients with dementia to determine whether the changes of the aforementioned indicators follow different patterns.

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Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review. Ageing Res Rev 2021;72:101506. [PMID: 34744026 DOI: 10.1016/j.arr.2021.101506] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 09/21/2021] [Accepted: 10/26/2021] [Indexed: 11/21/2022]

Chan JYC, Bat BKK, Wong A, Chan TK, Huo Z, Yip BHK, Kowk TCY, Tsoi KKF. Evaluation of Digital Drawing Tests and Paper-and-Pencil Drawing Tests for the Screening of Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-analysis of Diagnostic Studies. Neuropsychol Rev 2021;32:566-576. [PMID: 34657249 PMCID: PMC9381608 DOI: 10.1007/s11065-021-09523-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 08/09/2021] [Indexed: 11/23/2022]

Abstract

Digital drawing tests have been proposed for cognitive screening over the past decade. However, the diagnostic performance is still to clarify. The objective of this study was to evaluate the diagnostic performance among different types of digital and paper-and-pencil drawing tests in the screening of mild cognitive impairment (MCI) and dementia. Diagnostic studies evaluating digital or paper-and-pencil drawing tests for the screening of MCI or dementia were identified from OVID databases, included Embase, MEDLINE, CINAHL, and PsycINFO. Studies evaluated any type of drawing tests for the screening of MCI or dementia and compared with healthy controls. This study was performed according to PRISMA and the guidelines proposed by the Cochrane Diagnostic Test Accuracy Working Group. A bivariate random-effects model was used to compare the diagnostic performance of these drawing tests and presented with a summary receiver-operating characteristic curve. The primary outcome was the diagnostic performance of clock drawing test (CDT). Other types of drawing tests were the secondary outcomes. A total of 90 studies with 22,567 participants were included. In the screening of MCI, the pooled sensitivity and specificity of the digital CDT was 0.86 (95% CI = 0.75 to 0.92) and 0.92 (95% CI = 0.69 to 0.98), respectively. For the paper-and-pencil CDT, the pooled sensitivity and specificity of brief scoring method was 0.63 (95% CI = 0.49 to 0.75) and 0.77 (95% CI = 0.68 to 0.84), and detailed scoring method was 0.63 (95% CI = 0.56 to 0.71) and 0.72 (95% CI = 0.65 to 0.78). In the screening of dementia, the pooled sensitivity and specificity of the digital CDT was 0.83 (95% CI = 0.72 to 0.90) and 0.87 (95% CI = 0.79 to 0.92). The performances of the digital and paper-and-pencil pentagon drawing tests were comparable in the screening of dementia. The digital CDT demonstrated better diagnostic performance than paper-and-pencil CDT for MCI. Other types of digital drawing tests showed comparable performance with paper-and-pencil formats. Therefore, digital drawing tests can be used as an alternative tool for the screening of MCI and dementia.

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Limpawattana P, Manjavong M. The Mini-Cog, Clock Drawing Test, and Three-Item Recall Test: Rapid Cognitive Screening Tools with Comparable Performance in Detecting Mild NCD in Older Patients. Geriatrics (Basel) 2021;6:91. [PMID: 34562992 PMCID: PMC8482262 DOI: 10.3390/geriatrics6030091] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/06/2021] [Accepted: 09/13/2021] [Indexed: 11/17/2022] Open

Hartle L, Charchat-Fichman H. Mild cognitive impairment history and current procedures in low- and middle-income countries: a brief review. Dement Neuropsychol 2021;15:155-163. [PMID: 34345356 PMCID: PMC8283875 DOI: 10.1590/1980-57642021dn15-020001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/07/2021] [Indexed: 12/21/2022] Open

Chan JYC, Wong A, Yiu B, Mok H, Lam P, Kwan P, Chan A, Mok VCT, Tsoi KKF, Kwok TCY. Electronic Cognitive Screen Technology for Screening Older Adults With Dementia and Mild Cognitive Impairment in a Community Setting: Development and Validation Study. J Med Internet Res 2020;22:e17332. [PMID: 33337341 PMCID: PMC7775823 DOI: 10.2196/17332] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 07/21/2020] [Accepted: 10/31/2020] [Indexed: 01/19/2023] Open

Abstract

BACKGROUND

A digital cognitive test can be a useful and quick tool for the screening of cognitive impairment. Previous studies have shown that the diagnostic performance of digital cognitive tests is comparable with that of conventional paper-and-pencil tests. However, the use of commercially available digital cognitive tests is not common in Hong Kong, which may be due to the high cost of the tests and the language barrier. Thus, we developed a brief and user-friendly digital cognitive test called the Electronic Cognitive Screen (EC-Screen) for the detection of mild cognitive impairment (MCI) and dementia of older adults.

OBJECTIVE

The aim of this study was to evaluate the performance of the EC-Screen for the detection of MCI and dementia in older adults.

METHODS

The EC-Screen is a brief digital cognitive test that has been adapted from the Rapid Cognitive Screen test. The EC-Screen uses a cloud-based platform and runs on a tablet. Participants with MCI, dementia, and cognitively healthy controls were recruited from research clinics and the community. The outcomes were the performance of the EC-Screen in distinguishing participants with MCI and dementia from controls, and in distinguishing participants with dementia from those with MCI and controls. The cohort was randomly split into derivation and validation cohorts based on the participants' disease group. In the derivation cohort, the regression-derived score of the EC-Screen was calculated using binomial logistic regression. Two predictive models were produced. The first model was used to distinguish participants with MCI and dementia from controls, and the second model was used to distinguish participants with dementia from those with MCI and controls. Receiver operating characteristic curves were constructed and the areas under the curves (AUCs) were calculated. The performances of the two predictive models were tested using the validation cohorts. The relationship between the EC-Screen and paper-and-pencil Montreal Cognitive Assessment-Hong Kong version (HK-MoCA) was evaluated by the Pearson correlation coefficient.

RESULTS

A total of 126 controls, 54 participants with MCI, and 63 participants with dementia were included in the study. In differentiating participants with MCI and dementia from controls, the AUC of the EC-Screen in the derivation and validation cohorts was 0.87 and 0.84, respectively. The optimal sensitivity and specificity in the derivation cohorts were 0.81 and 0.80, respectively. In differentiating participants with dementia from those with MCI and controls, the AUC of the derivation and validation cohorts was 0.90 and 0.88, respectively. The optimal sensitivity and specificity in the derivation cohort were 0.83 and 0.83, respectively. There was a significant correlation between the EC-Screen and HK-MoCA (r=-0.67, P<.001).

CONCLUSIONS

The EC-Screen is suggested to be a promising tool for the detection of MCI and dementia. This test can be self-administered or assisted by a nonprofessional staff or family member. Therefore, the EC-Screen can be a useful tool for case finding in primary health care and community settings.

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Garbóczy S, Magócs É, Szőllősi GJ, Harsányi S, Égerházi A, Kolozsvári LR. The use of the Hungarian Test Your Memory (TYM-HUN), MMSE, and ADAS-Cog tests for patients with mild cognitive impairment (MCI) in a Hungarian population: a cross-sectional study. BMC Psychiatry 2020;20:571. [PMID: 33256672 PMCID: PMC7708165 DOI: 10.1186/s12888-020-02982-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 11/23/2020] [Indexed: 11/10/2022] Open

Abstract

BACKGROUND

Mild cognitive impairment (MCI) often presages the development of Alzheimer's disease (AD). Accurate and early identification of cognitive impairment will substantially reduce the burden on the family and alleviate the costs for the whole society. There is a need for testing methods that are easy to perform even in a general practitioner's office, inexpensive and non-invasive, which could help the early recognition of mental decline. We have selected the Test Your Memory (TYM), which has proven to be reliable for detecting AD and MCI in several countries. Our study was designed to test the usability of the Hungarian version of the TYM (TYM-HUN) comparing with the Mini-Mental State Examination (MMSE) and the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) in MCI recognition in the Hungarian population.

METHODS

TYM test was translated and validated into Hungarian (TYM-HUN) in a previous study. The TYM-HUN test was used in conjunction with and compared with the MMSE and the ADAS-Cog. For our study, 50 subjects were selected: 25 MCI patients and 25 healthy controls (HC). Spearman's rank correlation was used to analyse the correlation between the scores of MMSE and ADAS-Cog with TYM-HUN and the receiver operating characteristic (ROC) curve was established.

RESULTS

MCI can be distinguished from normal aging using TYM-HUN. We established a 'cut-off' point of TYM-HUN (44/45points) where optimal sensitivity (80%) and specificity (96%) values were obtained to screen MCI. The total TYM-HUN scores significantly correlated with the MMSE scores (ρ = 0.626; p < 0.001) and ADAS-Cog scores (ρ = - 0.723; p < 0.001).

CONCLUSIONS

Our results showed that the TYM-HUN is a reliable, fast, self-administered questionnaire with the right low threshold regarding MCI and can be used for the early diagnosis of cognitive impairment.

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Papunen S, Mustakallio-Könönen A, Auvinen J, Timonen M, Keinänen-Kiukaanniemi S, Sebert S. The association between diabetes and cognitive changes during aging. Scand J Prim Health Care 2020;38:281-290. [PMID: 32777967 PMCID: PMC7470088 DOI: 10.1080/02813432.2020.1802140] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open

Abbate C, Trimarchi PD, Inglese S, Gallucci A, Tomasini E, Bagarolo R, Giunco F. The Two-Step Strategy Could Be Inadequate and Counteracting to Diagnose Prodromal Dementia or Mild Cognitive Impairment. Front Aging Neurosci 2020;12:229. [PMID: 32848708 PMCID: PMC7426713 DOI: 10.3389/fnagi.2020.00229] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/30/2020] [Indexed: 11/13/2022] Open

Jessen F, Amariglio RE, Buckley RF, van der Flier WM, Han Y, Molinuevo JL, Rabin L, Rentz DM, Rodriguez-Gomez O, Saykin AJ, Sikkes SAM, Smart CM, Wolfsgruber S, Wagner M. The characterisation of subjective cognitive decline. Lancet Neurol 2020;19:271-278. [PMID: 31958406 DOI: 10.1016/s1474-4422(19)30368-0] [Citation(s) in RCA: 653] [Impact Index Per Article: 163.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 01/22/2023]

Affiliation(s)

Frank Jessen Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Rebecca E Amariglio Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
Rachel F Buckley Department of Neurology, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Florey Institute, University of Melbourne, Parkville, VIC, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
Wiesje M van der Flier Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
Ying Han Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China; Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China; Beijing Institute of Geriatrics, Beijing, China; National Clinical Research Center for Geriatric Disorders, Beijing, China
José Luis Molinuevo Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic, Barcelona, Spain; Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
Laura Rabin Department of Psychology, Brooklyn College and The Graduate Center of CUNY, Brooklyn, NY, USA; Department of Neurology, Albert Einstein College of Medicine, New York, NY, USA
Dorene M Rentz Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
Octavio Rodriguez-Gomez Alzheimer Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
Andrew J Saykin Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
Sietske A M Sikkes Department of Neurology, Brigham and Women's Hospital and Department of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
Colette M Smart Department of Psychology, University of Victoria, Victoria, BC, Canada; Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
Steffen Wolfsgruber German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Michael Wagner German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurodegeneration and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany

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Petrazzuoli F, Vestberg S, Midlöv P, Thulesius H, Stomrud E, Palmqvist S. Brief Cognitive Tests Used in Primary Care Cannot Accurately Differentiate Mild Cognitive Impairment from Subjective Cognitive Decline. J Alzheimers Dis 2020;75:1191-1201. [PMID: 32417771 PMCID: PMC7369041 DOI: 10.3233/jad-191191] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2020] [Indexed: 01/03/2023]

Validation of the Chinese version of the memory binding test for distinguishing amnestic mild cognitive impairment from cognitively normal elderly individuals. Int Psychogeriatr 2019;31:1721-1730. [PMID: 31658921 DOI: 10.1017/s1041610219001649] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]

Maserejian N, Bian S, Wang W, Jaeger J, Syrjanen JA, Aakre J, Jack CR, Mielke MM, Gao F. Practical algorithms for amyloid β probability in subjective or mild cognitive impairment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019;11:180. [PMID: 31700988 PMCID: PMC6827360 DOI: 10.1016/j.dadm.2019.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]

Goodman-Casanova JM, Guzmán-Parra J, Guerrero G, Vera E, Barnestein-Fonseca P, Cortellessa G, Fracasso F, Umbrico A, Cesta A, Toma D, Boghiu F, Dewarrat R, Triantafyllidou V, Tamburini E, Dionisio P, Mayoral F. TV-based assistive integrated service to support European adults living with mild dementia or mild cognitive impairment (TV-AssistDem): study protocol for a multicentre randomized controlled trial. BMC Geriatr 2019;19:247. [PMID: 31492113 PMCID: PMC6731559 DOI: 10.1186/s12877-019-1267-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 08/30/2019] [Indexed: 11/10/2022] Open

Abstract

BACKGROUND

Mild cognitive impairment and mild dementia progressively compromise the ability of people to live independently and can have a negative impact on their quality of life. Within the current European Active and Assisted Living programme (AAL), project TV-AssistDem has been developed to deliver a TV-based platform service to support patients with mild cognitive impairment or mild dementia and provide relief to their caregivers. The application is intended to be used daily at home, mainly by the participants themselves, with the help of their informal caregivers. The aim of this study is to evaluate the effectiveness of TV-AssistDem to improve quality of life in people with mild cognitive impairment or mild dementia.

METHODS

This is a 12-month European multicentre randomized controlled trial which will be performed in two countries: Spain and Romania. Two hundred and forty older adults will be recruited using identical inclusion/exclusion criteria. The primary outcome will be the change from baseline of TV-AssistDem on patient quality of life at 12 months. The secondary outcomes will be the changes from baseline of: 1) informal caregiver quality of life, 2) informal caregiver burden, 3) patient treatment adherence, 4) patient treatment compliance, 5) patient functional status, and 6) healthcare cost-effectiveness at 12 months. Patients in the intervention group will have access to an interactive platform which offers remote assistive services through a device connected to the television. The core services of the platform are: 1) Calendar and reminders, 2) Health monitoring and data transmission to a health server and 3) Videoconference; service-oriented applications are: 4) Cognitive stimulation; 5) Reminiscences; and 6) Patient and caregiver healthcare education. The analysis will be made following an intention-to-treat procedure. Linear and Generalized Mixed Model analysis will be performed.

DISCUSSION

We hypothesize that the regular use of TV-AssistDem will result in an improvement in patient quality of life. The uniqueness of this home TV-based intervention lies on its widespread accessibility and its integrative approach to quality of life in people with mild cognitive impairment or mild dementia and their informal caregivers. However, several anticipated challenges will need to be faced: poor engagement and connectivity problems.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT03653234 , Date of registration: 31 August 2018.

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Affiliation(s)

Jessica Marian Goodman-Casanova Instituto de Investigación Biomédica de Málaga – Fundación Pública Andaluza para la Investigación de Málaga de Biomedicina y Salud (IBIMA-FIMABIS), Málaga, Spain
José Guzmán-Parra Instituto de Investigación Biomédica de Málaga – Fundación Pública Andaluza para la Investigación de Málaga de Biomedicina y Salud (IBIMA-FIMABIS), Málaga, Spain
Gloria Guerrero Instituto de Investigación Biomédica de Málaga – Fundación Pública Andaluza para la Investigación de Málaga de Biomedicina y Salud (IBIMA-FIMABIS), Málaga, Spain
Elisa Vera Instituto de Investigación Biomédica de Málaga – Fundación Pública Andaluza para la Investigación de Málaga de Biomedicina y Salud (IBIMA-FIMABIS), Málaga, Spain
Pilar Barnestein-Fonseca Instituto de Investigación Biomédica de Málaga – Fundación Pública Andaluza para la Investigación de Málaga de Biomedicina y Salud (IBIMA-FIMABIS), Málaga, Spain
Gabriella Cortellessa CNR–Italian National Research Council, ISTC, Rome, Italy
Francesca Fracasso CNR–Italian National Research Council, ISTC, Rome, Italy
Alessandro Umbrico CNR–Italian National Research Council, ISTC, Rome, Italy
Amedeo Cesta CNR–Italian National Research Council, ISTC, Rome, Italy
Diana Toma S.C. INGRIJIRI LA DOMICILIU S.R.L., Brasov, Romania
Flavia Boghiu S.C. INGRIJIRI LA DOMICILIU S.R.L., Brasov, Romania
Rodolphe Dewarrat Institut multidisciplinaire de science de donnees (IMSD), Les Reussilles, Switzerland
Valentina Triantafyllidou Institut multidisciplinaire de science de donnees (IMSD), Les Reussilles, Switzerland
Elena Tamburini MEDEA, Massa, Italy
Pietro Dionisio MEDEA, Massa, Italy
Fermín Mayoral Instituto de Investigación Biomédica de Málaga – Fundación Pública Andaluza para la Investigación de Málaga de Biomedicina y Salud (IBIMA-FIMABIS), Málaga, Spain

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Zhuang L, Yang Y, Gao J. Cognitive assessment tools for mild cognitive impairment screening. J Neurol 2019;268:1615-1622. [PMID: 31414193 DOI: 10.1007/s00415-019-09506-7] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 08/07/2019] [Accepted: 08/10/2019] [Indexed: 12/31/2022]

Murniece S, Soehle M, Vanags I, Mamaja B. Near Infrared Spectroscopy Based Clinical Algorithm Applicability During Spinal Neurosurgery and Postoperative Cognitive Disturbances. ACTA ACUST UNITED AC 2019;55:medicina55050179. [PMID: 31117234 PMCID: PMC6572416 DOI: 10.3390/medicina55050179] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 04/10/2019] [Accepted: 05/14/2019] [Indexed: 01/12/2023]

Abstract

Background and Objectives: Postoperative cognitive disturbances (POCD) can significantly alter postoperative recovery. Inadequate intraoperative cerebral oxygen supply is one of the inciting causes of POCD. Near-infrared spectroscopy (NIRS) devices monitor cerebral oxygen saturation continuously and can help to guide intraoperative patient management. The aim of the study was to evaluate the applicability of the NIRS-based clinical algorithm during spinal neurosurgery and to find out whether it can influence postoperative cognitive performance. Materials and Methods: Thirty four patients scheduled for spinal neurosurgery were randomized into a study group (n = 23) and a control group (n = 11). We monitored regional cerebral oxygen saturation (rScO2) throughout surgery, using a NIRS device (INVOS 4100). If rScO2 dropped bilaterally or unilaterally by more than 20% from baseline values, or under an absolute value of 50%, the NIRS-based algorithm was initiated in the study group. In the control group, rScO2 was monitored blindly. To evaluate cognitive function, Montreal-Cognitive Assessment (MoCA) scale was used in both groups before and after the surgery. Results: In the study group, rScO2 dropped below the threshold in three patients and the NIRS-based algorithm was activated. Firstly, we verified correct positioning of the head; secondly, we increased mean systemic arterial pressure in the three patients by injecting repeated intravenous bolus doses of Ephedrine, ultimately resulting in an rScO2 increase above the approved threshold level. None of the three patients showed POCD. In the control group, one patient showed a drop in rScO2 of 34% from baseline and presented with a POCD. RScO2 drop occurred with other stable intraoperative measurements. Conclusions: A significant rScO2 drop may occur during spinal surgery in prone position despite other intraoperative measurements remaining stable, allowing it to stay otherwise unrecognized. Use of the NIRS-based clinical algorithm can help to avoid POCD in patients after spinal surgery.

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Williamson JC, Larner AJ. 'Likelihood to be diagnosed or misdiagnosed': application to meta-analytic data for cognitive screening instruments. Neurodegener Dis Manag 2019;9:91-95. [PMID: 30998117 DOI: 10.2217/nmt-2018-0041] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open

Breton A, Casey D, Arnaoutoglou NA. Cognitive tests for the detection of mild cognitive impairment (MCI), the prodromal stage of dementia: Meta-analysis of diagnostic accuracy studies. Int J Geriatr Psychiatry 2019;34:233-242. [PMID: 30370616 DOI: 10.1002/gps.5016] [Citation(s) in RCA: 140] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 10/18/2018] [Indexed: 12/15/2022]

Tinôco MA, Gouveia ÉR, Ihle A, Marques A, Gouveia BR, Kliegel M. The Cognitive Telephone Screening Instrument (COGTEL): a reliable and valid tool for the assessment of cognitive functioning in the Brazilian elderly. REVISTA BRASILEIRA DE GERIATRIA E GERONTOLOGIA 2019. [DOI: 10.1590/1981-22562019022.180130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open

Samaei A, Nobahar M, Hydarinia-Naieni Z, Ebrahimian AA, Tammadon MR, Ghorbani R, Vafaei AA. Effect of valerian on cognitive disorders and electroencephalography in hemodialysis patients: a randomized, cross over, double-blind clinical trial. BMC Nephrol 2018;19:379. [PMID: 30591031 PMCID: PMC6309073 DOI: 10.1186/s12882-018-1134-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Accepted: 11/12/2018] [Indexed: 02/08/2023] Open

Montreal Cognitive Assessment (MoCA) and its memory tasks for detecting mild cognitive impairment. Neurol Sci 2018;40:633. [DOI: 10.1007/s10072-018-3616-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 10/19/2018] [Indexed: 10/28/2022]

Cognitive Assessment Test: Validation of a Short Cognitive Test for the Detection of Mild Cognitive Disorder. Int J Alzheimers Dis 2018;2018:3280621. [PMID: 30057805 PMCID: PMC6051079 DOI: 10.1155/2018/3280621] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2018] [Revised: 05/27/2018] [Accepted: 05/31/2018] [Indexed: 12/24/2022] Open

Chan JYC, Kwong JSW, Wong A, Kwok TCY, Tsoi KKF. Comparison of Computerized and Paper-and-Pencil Memory Tests in Detection of Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-analysis of Diagnostic Studies. J Am Med Dir Assoc 2018;19:748-756.e5. [PMID: 29921507 DOI: 10.1016/j.jamda.2018.05.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 05/08/2018] [Accepted: 05/12/2018] [Indexed: 10/28/2022]

Abstract

OBJECTIVES

To compare the diagnostic performance of computerized and paper-and-pencil memory tests in detection of mild cognitive impairment (MCI) and dementia.

DESIGN

Diagnostic studies comparing computerized or paper-and-pencil memory tests with the standard diagnostic criterion for MCI or dementia were identified from OVID databases. The primary outcome was the diagnostic performance of memory tests for detection of MCI, and detection of dementia was the secondary outcome. Risk of bias and reporting quality in included studies was assessed.

SETTING AND PARTICIPANTS

Participants with MCI and dementia in any kind of setting.

MEASURES

Bivariate random-effects models were used to combine the diagnostic performance of memory tests and presented with a summary receiver-operating characteristic curve.

RESULTS

A total of 58 studies with 18,450 participants with mean age ranging from 55 to 84 years were included. For the verbal memory tests on patients with MCI, computerized tests showed diagnostic accuracy of 0.89 sensitivity (95% confidence interval [CI] 0.69-0.97) and 0.82 specificity (95% CI 0.70-0.90), whereas paper-and-pencil tests showed diagnostic accuracy of 0.86 sensitivity (95% CI 0.82-0.90) and 0.82 specificity (95% CI 0.76-0.86). For the visual memory tests on MCI patients, computerized tests showed diagnostic accuracy of 0.79 sensitivity (95% CI 0.71-0.84) and 0.80 specificity (95% CI 0.71-0.86), whereas paper-and-pencil tests showed diagnostic accuracy of 0.80 sensitivity (95% CI 0.67-0.89) and 0.68 specificity (95% CI 0.51-0.81). The findings were also comparable to those with dementia.

CONCLUSIONS/IMPLICATIONS

Both verbal and visual computerized memory tests showed comparable diagnostic performance to the paper-and-pencil tests. Computerized cognitive tests show a great potential to use as an alternative to paper-and-pencil tests. When the records can be digitalized, long-term monitoring of cognitive function will be feasible for better management of dementia.

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Recall Tests may be Effective to Detect Mild Cognitive Impairment: A Response to Tsoi and Colleagues. J Am Med Dir Assoc 2017;18:1093-1094. [PMID: 29108889 DOI: 10.1016/j.jamda.2017.09.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Accepted: 09/25/2017] [Indexed: 01/13/2023]