Investigation of Factors Causing Knee Hyperextension During Walking in Chronic Stroke Patients

NCT05513781 | Completed

• 1 other identifier: E-59394181-604.01.02-39134
• Study Type: observational
• Target: 31
• Locations: 1 country
• Sites: 1

Brief Summary

In this study, it is aimed to examine the factors that cause knee hyperextension in chronic stroke patients. Although the presence of weakness or spasticity in the quadriceps muscle, weakness or spasticity in the plantar flexors, and weakness of the dorsiflexors, hamstrings and gastrocnemius muscle are shown in the literature as the cause of hyperextension of the affected knee in hemiplegic patients, there is a comprehensive study that shows the effect of both muscle strength and spasticity in the lower extremity muscles. there are no studies. The hypotheses of the study are: Hypothesis 1: H0: There is no relationship between knee hyperextension in the stance phase of gait and lower extremity muscle strength in stroke patients. H1: There is a relationship between knee hyperextension in the stance phase of gait and lower extremity muscle strength in stroke patients. Hypothesis 2; H0: There is no relationship between knee hyperextension in the stance phase of gait and lower extremity spasticity in stroke patients. H1: There is a relationship between knee hyperextension in the stance phase of gait and lower extremity spasticity in stroke patients. Hypothesis 3; H0: There is no relationship between knee hyperextension and electromyographic muscle activations in chronic stroke patients. H1: There is a relationship between knee hyperextension and electromyographic muscle activations in chronic stroke patients.

Conditions

Stroke

Keywords

Gait Analysis; Stroke; Knee Hyperextension; Electromyography

Outcome Measures

Primary Outcomes (2)

• Movement Analysis

  Reflective signs will be placed at certain anatomical points of the participants. Participants will be asked to walk a distance of 5 meters. The three-dimensional positions of these reflective marks will be recorded with the 8-camera Vicon motion capture system. Then it will be examined in computer environment using Blade software.

  Baseline

• Electromyographic Measurements

  Electromyography (EMG) is frequently used in the literature for motion analysis evaluations. It shows the amplitude of the electrical activity of the muscles. In this study, 8-channel Delsys Bagnoli desktop cable electromyography system (Delsys (Delsys Inc., USA)) will be used. EMG; It shows whether the muscles are active during movement, when they are active and how active they are. In this study, the muscles to be measured by EMG: tibialis anterior, medial gastrocnemius, medial hamstrings, rectus femoris, gluteus medius and the lower part of the latismus dorsi are planned.

  Baseline

Secondary Outcomes (2)

• Muscle Strength Evaluation

  Baseline

• Spasticity Evaluation

  Baseline

Study Arms (1)

Chronic stroke patients with knee hyperextension

Eligibility Criteria

• Age: 40 Years - 65 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Chronic Stroke Patients with Knee Hyperextension

You may qualify if:

• Being between the ages of 40-65
• At least 6 months have passed since the stroke
• Ambulation with or without a walking aid (walker, cane, or tripod)
• Being between 0-3 points according to the Modified Rankin Score
• Getting a score of 24 or higher on the Mini Mental Test
• Presence of hyperextension in the stance phase of gait
• Volunteering to participate in the study

You may not qualify if:

• Having a history of more than one stroke
• Known presence of dementia
• Having a known orthopedic, psychiatric or other neurological disease
• Having a situation that prevents communication
• Having a history of surgery involving lower extremities and gait

Sponsors & Collaborators

• Hacettepe University: lead
• Atılım University: collaborator

Study Sites (1)

Hacettepe University

Altındağ, Ankara, 06100, Turkey (Türkiye)

Location

Related Publications (3)

• Moseley A, Wales A, Herbert R, Schurr K, Moore S. Observation and analysis of hemiplegic gait: stance phase. Aust J Physiother. 1993;39(4):259-67. doi: 10.1016/S0004-9514(14)60486-4.

  PMID: 25026421 BACKGROUND

• Roth EJ, Merbitz C, Mroczek K, Dugan SA, Suh WW. Hemiplegic gait. Relationships between walking speed and other temporal parameters. Am J Phys Med Rehabil. 1997 Mar-Apr;76(2):128-33. doi: 10.1097/00002060-199703000-00008.

  PMID: 9129519 BACKGROUND

• Cooper A, Alghamdi GA, Alghamdi MA, Altowaijri A, Richardson S. The relationship of lower limb muscle strength and knee joint hyperextension during the stance phase of gait in hemiparetic stroke patients. Physiother Res Int. 2012 Sep;17(3):150-6. doi: 10.1002/pri.528. Epub 2011 Dec 7.

  PMID: 22147298 BACKGROUND

MeSH Terms

Conditions

Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Vascular Diseases; Cardiovascular Diseases

Study Officials

• Kadriye Armutlu, Prof. Dr.

  Hacettepe University

  STUDY CHAIR

• Süleyman Korkusuz, MSc

  Hacettepe University

  PRINCIPAL INVESTIGATOR

• Sibel Kibar, Assoc. Prof.

  Atılım University

  STUDY CHAIR

• Serdar Arıtan, Asst.Prof

  Hacettepe University

  STUDY CHAIR

• Nihat Özgören, MSc

  Hacettepe University

  STUDY CHAIR

• Ali Naim Ceren, Msc

  Hacettepe University

  STUDY CHAIR

• Büşra Seçkinoğulları, MSc

  Hacettepe University

  STUDY CHAIR

• Ayla Fil Balkan, Assoc.Prof

  Hacettepe University

  STUDY CHAIR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: August 22, 2022
• First Posted: August 24, 2022
• Study Start: August 20, 2022
• Primary Completion: October 11, 2023
• Study Completion: November 15, 2023
• Last Updated: February 28, 2024

Record last verified: 2024-02

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)