Literature DB >> 33546620

Associations between post-stroke motor and cognitive function: a cross-sectional study.

Marte Stine Einstad1, Ingvild Saltvedt2,3, Stian Lydersen4, Marie H Ursin5, Ragnhild Munthe-Kaas5, Hege Ihle-Hansen6, Anne-Brita Knapskog6, Torunn Askim2, Mona K Beyer7,8, Halvor Næss9,10,11, Yngve M Seljeseth12, Hanne Ellekjær2,13, Pernille Thingstad2.   

Abstract

BACKGROUND: Motor and cognitive impairments are frequently observed following stroke, but are often managed as distinct entities, and there is little evidence regarding how they are related. The aim of this study was to describe the prevalence of concurrent motor and cognitive impairments 3 months after stroke and to examine how motor performance was associated with memory, executive function and global cognition.
METHODS: The Norwegian Cognitive Impairment After Stroke (Nor-COAST) study is a prospective multicentre cohort study including patients hospitalized with acute stroke between May 2015 and March 2017. The National Institutes of Health Stroke Scale (NIHSS) was used to measure stroke severity at admission. Level of disability was assessed by the Modified Rankin Scale (mRS). Motor and cognitive functions were assessed 3 months post-stroke using the Montreal Cognitive Assessment (MoCA), Trail Making Test Part B (TMT-B), 10-Word List Recall (10WLR), Short Physical Performance Battery (SPPB), dual-task cost (DTC) and grip strength (Jamar®). Cut-offs were set according to current recommendations. Associations were examined using linear regression with cognitive tests as dependent variables and motor domains as covariates, adjusted for age, sex, education and stroke severity.
RESULTS: Of 567 participants included, 242 (43%) were women, mean (SD) age was 72.2 (11.7) years, 416 (75%) had an NIHSS score ≤ 4 and 475 (84%) had an mRS score of ≤2. Prevalence of concurrent motor and cognitive impairment ranged from 9.5% for DTC and 10WLR to 22.9% for grip strength and TMT-B. SPPB was associated with MoCA (regression coefficient B = 0.465, 95%CI [0.352, 0.578]), TMT-B (B = -9.494, 95%CI [- 11.726, - 7.925]) and 10WLR (B = 0.132, 95%CI [0.054, 0.211]). Grip strength was associated with MoCA (B = 0.075, 95%CI [0.039, 0.112]), TMT-B (B = -1.972, 95%CI [- 2.672, - 1.272]) and 10WLR (B = 0.041, 95%CI [0.016, 0.066]). Higher DTC was associated with more time needed to complete TMT-B (B = 0.475, 95%CI [0.075, 0.875]) but not with MoCA or 10WLR.
CONCLUSION: Three months after suffering mainly minor strokes, 30-40% of participants had motor or cognitive impairments, while 20% had concurrent impairments. Motor performance was associated with memory, executive function and global cognition. The identification of concurrent impairments could be relevant for preventing functional decline. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02650531 .

Entities:  

Keywords:  Cognitive function; Function; Motor function; Stroke

Year:  2021        PMID: 33546620      PMCID: PMC7863272          DOI: 10.1186/s12877-021-02055-7

Source DB:  PubMed          Journal:  BMC Geriatr        ISSN: 1471-2318            Impact factor:   3.921


  51 in total

1.  The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

Authors:  Ziad S Nasreddine; Natalie A Phillips; Valérie Bédirian; Simon Charbonneau; Victor Whitehead; Isabelle Collin; Jeffrey L Cummings; Howard Chertkow
Journal:  J Am Geriatr Soc       Date:  2005-04       Impact factor: 5.562

2.  Interobserver agreement for the assessment of handicap in stroke patients.

Authors:  J C van Swieten; P J Koudstaal; M C Visser; H J Schouten; J van Gijn
Journal:  Stroke       Date:  1988-05       Impact factor: 7.914

3.  Relationships between balance and cognition in patients with subjective cognitive impairment, mild cognitive impairment, and Alzheimer disease.

Authors:  Gro Gujord Tangen; Knut Engedal; Astrid Bergland; Tron Anders Moger; Anne Marit Mengshoel
Journal:  Phys Ther       Date:  2014-04-24

Review 4.  Diagnostic test accuracy of the Montreal Cognitive Assessment in the detection of post-stroke cognitive impairment under different stages and cutoffs: a systematic review and meta-analysis.

Authors:  Dan Shi; Xiao Chen; Zheng Li
Journal:  Neurol Sci       Date:  2018-02-09       Impact factor: 3.307

5.  Gait measures as predictors of poststroke cognitive function: evidence from the TABASCO study.

Authors:  Einor Ben Assayag; Shani Shenhar-Tsarfaty; Amos D Korczyn; Efrat Kliper; Hen Hallevi; Ludmila Shopin; Eitan Auriel; Nir Giladi; Anat Mike; Anat Halevy; Aner Weiss; Anat Mirelman; Natan M Bornstein; Jeffrey M Hausdorff
Journal:  Stroke       Date:  2015-02-12       Impact factor: 7.914

6.  The Risk of Selection Bias in a Clinical Multi-Center Cohort Study. Results from the Norwegian Cognitive Impairment After Stroke (Nor-COAST) Study.

Authors:  Karen Rosmo Kuvås; Ingvild Saltvedt; Stina Aam; Pernille Thingstad; Hanne Ellekjær; Torunn Askim
Journal:  Clin Epidemiol       Date:  2020-12-01       Impact factor: 4.790

7.  Clinical determinants of dementia and mild cognitive impairment following ischaemic stroke: the Sydney Stroke Study.

Authors:  P S Sachdev; H Brodaty; M J Valenzuela; L Lorentz; J C L Looi; K Berman; A Ross; W Wen; A S Zagami
Journal:  Dement Geriatr Cogn Disord       Date:  2006-02-10       Impact factor: 2.959

8.  The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer's disease.

Authors:  J C Morris; A Heyman; R C Mohs; J P Hughes; G van Belle; G Fillenbaum; E D Mellits; C Clark
Journal:  Neurology       Date:  1989-09       Impact factor: 9.910

9.  Norwegian reference values for the Short Physical Performance Battery (SPPB): the Tromsø Study.

Authors:  Astrid Bergland; Bjørn Heine Strand
Journal:  BMC Geriatr       Date:  2019-08-08       Impact factor: 3.921

10.  Disability trajectories and mortality in older adults with different cognitive and physical profiles.

Authors:  Giulia Grande; Davide L Vetrano; Laura Fratiglioni; Anna Marseglia; Nicola Vanacore; Erika Jonsson Laukka; Anna-Karin Welmer; Debora Rizzuto
Journal:  Aging Clin Exp Res       Date:  2019-08-30       Impact factor: 3.636

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  4 in total

1.  Disability Status and Its Influencing Factors Among Stroke Patients in Northeast China: A 3-Year Follow-Up Study.

Authors:  Yumei Lv; Qiuxue Sun; Juan Li; Wenyue Zhang; Yudi He; Yuqiu Zhou
Journal:  Neuropsychiatr Dis Treat       Date:  2021-08-07       Impact factor: 2.570

2.  Effects of robot-assisted therapy on upper limb and cognitive function in patients with stroke: study protocol of a randomized controlled study.

Authors:  Yana Wang; Mingzhu Ye; Yujie Tong; Li Xiong; Xuejiao Wu; Chao Geng; Wen Zhang; Ziqi Dai; Wei Tian; Jifeng Rong
Journal:  Trials       Date:  2022-06-28       Impact factor: 2.728

Review 3.  The Effect of Endurance Training on Serum BDNF Levels in the Chronic Post-Stroke Phase: Current Evidence and Qualitative Systematic Review.

Authors:  Sara Górna; Katarzyna Domaszewska
Journal:  J Clin Med       Date:  2022-06-20       Impact factor: 4.964

4.  Toward individualized medicine in stroke-The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke.

Authors:  Lisa Fleury; Philipp J Koch; Maximilian J Wessel; Christophe Bonvin; Diego San Millan; Christophe Constantin; Philippe Vuadens; Jan Adolphsen; Andéol Cadic Melchior; Julia Brügger; Elena Beanato; Martino Ceroni; Pauline Menoud; Diego De Leon Rodriguez; Valérie Zufferey; Nathalie H Meyer; Philip Egger; Sylvain Harquel; Traian Popa; Estelle Raffin; Gabriel Girard; Jean-Philippe Thiran; Claude Vaney; Vincent Alvarez; Jean-Luc Turlan; Andreas Mühl; Bertrand Léger; Takuya Morishita; Silvestro Micera; Olaf Blanke; Dimitri Van De Ville; Friedhelm C Hummel
Journal:  Front Neurol       Date:  2022-09-26       Impact factor: 4.086

  4 in total

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