The Impact of App-based Cognitive Training on Post-stroke Upper Extremity Rehabilitation

NCT05951530 | Completed

• 1 other identifier: REC/RCR&AHS/23/0207
• Study Type: interventional
• Target: 38
• Locations: 1 country
• Sites: 1

Brief Summary

To find out the impact of app-based cognitive training on upper extremity function in patients with sub-acute stroke.

Conditions

Stroke

Keywords

stroke, sub-acute stroke, cognitive impairment

Outcome Measures

Primary Outcomes (2)

• upper extremity function

  Fugl-Meyer Assessment-Upper Extremity (FMA-UE) The FMA-UE is a condition-specific outcome that applies to hemiparesis of the upper limb in stroke conditions. The FMA motor assessments for the upper (maximum score 66 points)

  4th week

• Trail Making Test

  The Trail Making Test is a neuropsychological test of visual attention and task switching. It has two parts, in which the subject is instructed to connect a set of 25 dots as quickly as possible while maintaining accuracy. Scoring is based on time taken to complete the test (e.g. 35 seconds yielding a score of 35) with lower scores being better. Different norms are available that allow comparison with age-matched groups

  4th week

Study Arms (2)

Traditional physical therapy

ACTIVE COMPARATOR

This group will receive conventional upper extremity rehabilitation including active and active assisted ROMs and upper extremity stretches for 30 minutes, three to five times a week for 6 weeks.

Other: traditional physical therapy

The impact of app-based cognitive training

EXPERIMENTAL

The experimental group received mobile-app-based cognitive training (PEAK) along with conventional upper extremity rehabilitation.

Other: mobile app-based cognitive training

Interventions

traditional physical therapy OTHER

this group received conventional upper extremity active ROMs and stretches for 30 minutes three to five times a week for 6 weeks without using the app-based cognitive training.

Traditional physical therapy

mobile app-based cognitive training OTHER

This group received mobile app-based cognitive training of 30minutes session three to five times a week for 6 weeks which includes a few activities such as the memory, coordination and alertness along with conventional UE exercises for 15 minutes three to five times a week for 6 weeks.

The impact of app-based cognitive training

Eligibility Criteria

• Age: 45 Years - 70 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Patients aged 45-70 years.
• Both male and female gender.
• Patients of sub-acute stroke patients with impaired upper extremity function
• Stroke patients suffering from mild to moderate cognitive impairment.
• Patients with the ability to fulfill and comprehend commands

You may not qualify if:

• Patients of neurodegenerative diseases like Parkinson's, multiple sclerosis etc.
• Patients suffering from any severe psychological disorder.
• Patients with severe contracture due to orthopedic disease of the shoulder, elbow, and wrist joints

Sponsors & Collaborators

• Riphah International University: lead

Study Sites (1)

sir Ganga Ram Hospital

Lahore, Punjab Province, 54000, Pakistan

Location

Related Publications (11)

• Feigin VL, Krishnamurthi RV, Parmar P, Norrving B, Mensah GA, Bennett DA, Barker-Collo S, Moran AE, Sacco RL, Truelsen T, Davis S, Pandian JD, Naghavi M, Forouzanfar MH, Nguyen G, Johnson CO, Vos T, Meretoja A, Murray CJ, Roth GA; GBD 2013 Writing Group; GBD 2013 Stroke Panel Experts Group. Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990-2013: The GBD 2013 Study. Neuroepidemiology. 2015;45(3):161-76. doi: 10.1159/000441085. Epub 2015 Oct 28.

  PMID: 26505981 BACKGROUND

• Kim YD, Jung YH, Saposnik G. Traditional Risk Factors for Stroke in East Asia. J Stroke. 2016 Sep;18(3):273-285. doi: 10.5853/jos.2016.00885. Epub 2016 Sep 30.

  PMID: 27733028 BACKGROUND

• Nomani AZ, Nabi S, Badshah M, Ahmed S. Review of acute ischaemic stroke in Pakistan: progress in management and future perspectives. Stroke Vasc Neurol. 2017 Feb 24;2(1):30-39. doi: 10.1136/svn-2016-000041. eCollection 2017 Mar.

  PMID: 28959488 BACKGROUND

• Langhorne P, Legg L. Evidence behind stroke rehabilitation. J Neurol Neurosurg Psychiatry. 2003 Dec;74 Suppl 4(Suppl 4):iv18-iv21. doi: 10.1136/jnnp.74.suppl_4.iv18. No abstract available.

  PMID: 14645462 BACKGROUND

• Levin MF, Kleim JA, Wolf SL. What do motor "recovery" and "compensation" mean in patients following stroke? Neurorehabil Neural Repair. 2009 May;23(4):313-9. doi: 10.1177/1545968308328727. Epub 2008 Dec 31.

  PMID: 19118128 BACKGROUND

• Engfeldt B, Hultenby K, Muller M. Ultrastructure of hyaline cartilage. I. A comparative study of cartilage from different species and locations, using cryofixation, freeze-substitution and low-temperature embedding techniques. Acta Pathol Microbiol Immunol Scand A. 1986 Sep;94(5):313-23.

  PMID: 3532690 BACKGROUND

• Tang EY, Amiesimaka O, Harrison SL, Green E, Price C, Robinson L, Siervo M, Stephan BC. Longitudinal Effect of Stroke on Cognition: A Systematic Review. J Am Heart Assoc. 2018 Jan 15;7(2):e006443. doi: 10.1161/JAHA.117.006443.

  PMID: 29335318 BACKGROUND

• Pinter D, Enzinger C, Gattringer T, Eppinger S, Niederkorn K, Horner S, Fandler S, Kneihsl M, Krenn K, Bachmaier G, Fazekas F. Prevalence and short-term changes of cognitive dysfunction in young ischaemic stroke patients. Eur J Neurol. 2019 May;26(5):727-732. doi: 10.1111/ene.13879. Epub 2019 Jan 9.

  PMID: 30489673 BACKGROUND

• McDonald MW, Black SE, Copland DA, Corbett D, Dijkhuizen RM, Farr TD, Jeffers MS, Kalaria RN, Karayanidis F, Leff AP, Nithianantharajah J, Pendlebury S, Quinn TJ, Clarkson AN, O'Sullivan MJ. Cognition in stroke rehabilitation and recovery research: Consensus-based core recommendations from the second Stroke Recovery and Rehabilitation Roundtable. Int J Stroke. 2019 Oct;14(8):774-782. doi: 10.1177/1747493019873600. Epub 2019 Sep 12.

  PMID: 31514685 BACKGROUND

• Wiley E, Khattab S, Tang A. Examining the effect of virtual reality therapy on cognition post-stroke: a systematic review and meta-analysis. Disabil Rehabil Assist Technol. 2022 Jan;17(1):50-60. doi: 10.1080/17483107.2020.1755376. Epub 2020 May 2.

  PMID: 32363955 BACKGROUND

• Fruhwirth V, Enzinger C, Fandler-Hofler S, Kneihsl M, Eppinger S, Ropele S, Schmidt R, Gattringer T, Pinter D. Baseline white matter hyperintensities affect the course of cognitive function after small vessel disease-related stroke: a prospective observational study. Eur J Neurol. 2021 Feb;28(2):401-410. doi: 10.1111/ene.14593. Epub 2020 Nov 12.

  PMID: 33065757 BACKGROUND

MeSH Terms

Conditions

Stroke; Cognitive Dysfunction

Condition Hierarchy (Ancestors)

Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Vascular Diseases; Cardiovascular Diseases; Cognition Disorders; Neurocognitive Disorders; Mental Disorders

Study Officials

• Binash Afzal, PHD*

  Riphah international university lahore campus

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: DOUBLE
• Who Masked: PARTICIPANT, INVESTIGATOR
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 9, 2023
• First Posted: July 19, 2023
• Study Start: May 10, 2023
• Primary Completion: June 2, 2023
• Study Completion: July 2, 2023
• Last Updated: July 19, 2023

Record last verified: 2023-07

Data Sharing

• IPD Sharing: Will not share

Locations

PA (1)