Literature DB >> 35179228

Brief assessment of cognitive function in myotonic dystrophy: Multicenter longitudinal study using computer-assisted evaluation.

Gayle K Deutsch1, Katharine A Hagerman1, Jacinda Sampson1, Gersham Dent2, Jeanne Dekdebrun3, Dana M Parker1, Charles A Thornton3, Chad R Heatwole3, Sub H Subramony4, Ami K Mankodi5, Tetsuo Ashizawa6, Jeffrey M Statland7, W David Arnold8, Richard T Moxley3, John W Day1.   

Abstract

INTRODUCTION/AIMS: Myotonic dystrophy type 1 (DM1) is known to affect cognitive function, but the best methods to assess central nervous system involvement in multicenter studies have not been determined. In this study our primary aim was to evaluate the potential of computerized cognitive tests to assess cognition in DM1.
METHODS: We conducted a prospective, longitudinal, observational study of 113 adults with DM1 at six sites. Psychomotor speed, attention, working memory, and executive functioning were assessed at baseline, 3 months, and 12 months using computerized cognitive tests. Results were compared with assessments of muscle function and patient reported outcomes (PROs), including the Myotonic Dystrophy Health Index (MDHI) and the 5-dimension EuroQol (EQ-5D-5L) questionnaire.
RESULTS: Based on intraclass correlation coefficients, computerized cognitive tests had moderate to good reliability for psychomotor speed (0.76), attention (0.82), working memory speed (0.79), working memory accuracy (0.65), and executive functioning (0.87). Performance at baseline was lowest for working memory accuracy (P < .0001). Executive function performance improved from baseline to 3 months (P < .0001), without further changes over 1 year. There was a moderate correlation between poorer executive function and larger CTG repeat size (r = -0.433). There were some weak associations between PROs and cognitive performance. DISCUSSION: Computerized tests of cognition are feasible in multicenter studies of DM1. Poor performance was exhibited in working memory, which may be a useful variable in clinical trials. Learning effects may have contributed to the improvement in executive functioning. The relationship between PROs and cognitive impairment in DM1 requires further study.
© 2022 Wiley Periodicals LLC.

Entities:  

Keywords:  muscle disease; myotonic dystrophy type 1; neuropsychology; patient-reported outcome; quality of life

Mesh:

Year:  2022        PMID: 35179228      PMCID: PMC9102286          DOI: 10.1002/mus.27520

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.852


  36 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Report of the first Outcome Measures in Myotonic Dystrophy type 1 (OMMYD-1) international workshop: Clearwater, Florida, November 30, 2011.

Authors:  Cynthia Gagnon; Giovanni Meola; Luc J Hébert; Jack Puymirat; Luc Laberge; Mario Leone
Journal:  Neuromuscul Disord       Date:  2013-09-05       Impact factor: 4.296

3.  Characterization of the pattern of cognitive impairment in myotonic dystrophy type 1.

Authors:  Anna Modoni; Gabriella Silvestri; Maria Grazia Pomponi; Fortunato Mangiola; Pietro A Tonali; Camillo Marra
Journal:  Arch Neurol       Date:  2004-12

4.  A 9-year follow-up study of quantitative muscle strength changes in myotonic dystrophy type 1.

Authors:  Cynthia Gagnon; Émilie Petitclerc; Marie Kierkegaard; Jean Mathieu; Élise Duchesne; Luc J Hébert
Journal:  J Neurol       Date:  2018-05-21       Impact factor: 4.849

5.  Cognitive function in myotonic dystrophy: a follow-up study.

Authors:  R A Tuikka; R K Laaksonen; H V Somer
Journal:  Eur Neurol       Date:  1993       Impact factor: 1.710

Review 6.  Cerebral involvement in myotonic dystrophies.

Authors:  Giovanni Meola; Valeria Sansone
Journal:  Muscle Nerve       Date:  2007-09       Impact factor: 3.217

7.  Three-month stability of the CogState brief battery in healthy older adults, mild cognitive impairment, and Alzheimer's disease: results from the Australian Imaging, Biomarkers, and Lifestyle-rate of change substudy (AIBL-ROCS).

Authors:  Yen Ying Lim; Judith Jaeger; Karra Harrington; Tim Ashwood; Kathryn A Ellis; Albrecht Stöffler; Cassandra Szoeke; Rebecca Lachovitzki; Ralph N Martins; Victor L Villemagne; Ashley Bush; Colin L Masters; Christopher C Rowe; David Ames; David Darby; Paul Maruff
Journal:  Arch Clin Neuropsychol       Date:  2013-04-03       Impact factor: 2.813

Review 8.  The cognitive profile of myotonic dystrophy type 1: A systematic review and meta-analysis.

Authors:  Kees Okkersen; Melanie Buskes; Johannes Groenewoud; Roy P C Kessels; Hans Knoop; Baziel van Engelen; Joost Raaphorst
Journal:  Cortex       Date:  2017-08-16       Impact factor: 4.027

9.  Splicing biomarkers of disease severity in myotonic dystrophy.

Authors:  Masayuki Nakamori; Krzysztof Sobczak; Araya Puwanant; Steve Welle; Katy Eichinger; Shree Pandya; Jeannne Dekdebrun; Chad R Heatwole; Michael P McDermott; Tian Chen; Melissa Cline; Rabi Tawil; Robert J Osborne; Thurman M Wheeler; Maurice S Swanson; Richard T Moxley; Charles A Thornton
Journal:  Ann Neurol       Date:  2013-12       Impact factor: 10.422

10.  Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L).

Authors:  M Herdman; C Gudex; A Lloyd; Mf Janssen; P Kind; D Parkin; G Bonsel; X Badia
Journal:  Qual Life Res       Date:  2011-04-09       Impact factor: 4.147

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.