A Study to Find Out Relationship of Cognition and Functional Performance with Balance in Post Stroke Patients-An Observational Study

Background: Socioeconomic status (SES) is widely recognized as an area of inequity that affects health outcomes. However, social determinants of health are less frequently measured in longitudinal studies of acute stroke patients. The relationship of SES on disability 3-months post-stroke is unknown. Methods: We analyzed ischemic stroke patients in the AVAIL registry who were enrolled at 98 hospitals participating in Get With The Guidelines-Stroke. Patients who died (n=64) or did not complete a modified Rankin Scale (mRS) at 3-months (n=154) were excluded. Multivariable logistic regression was used to examine the relationship of SES (defined by level of education, work status, and perceived adequacy of household income to meet needs) and disability (mRS scores 3-5). Results: Among the 2092 stroke patients who met eligibility criteria, the mean age was 65.5 ± 13.7, 44.2% were female, and 82.7% were White. Fifty seven percent had a high school or less education, 11.4% were not working post-stroke and were home not by choice, and 25.7% were without an adequate household income. A third of the sample had some level of disability at 3-months (34.6% mRS 3-5). Those with disability were more likely to be older, non-White, female, single, less educated, have inadequate income, and were home not by choice. In the multivariable analysis, lower education, inadequate income, and being home but not by choice (compared with those who returned to work) were independently associated with disability (p<0.01; Table ). Conclusion: In this national cohort of stroke survivors, socioeconomic status as measured by level of education, work status, and income were independently associated with post-stroke disability.

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A Study to Co-Relate the Foot Posture Index, H/M Ratio and Spatial Gait Parameters in Post-Stroke Patients with Ankle Planter-Flexor(Calf) Spasticity- An Observational Study

Indian Journal of Physiotherapy and Occupational Therapy - An International Journal ◽

10.37506/ijpot.v14i3.9696 ◽

2020 ◽

Keyword(s):

Observational Study ◽

Stroke Patients ◽

Foot Posture Index ◽

Posture Index ◽

Post Stroke ◽

Gait Parameters ◽

Foot Posture

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Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients

Applied Sciences ◽

10.3390/app11010011 ◽

2020 ◽

Vol 11 (1) ◽

pp. 11

Author(s):

Peng-Ta Liu ◽

Ta-Sen Wei ◽

Congo Tak-Shing Ching

Keyword(s):

Local Binary Pattern ◽

Functional Performance ◽

Biceps Brachii ◽

Transverse Plane ◽

Muscle Stiffness ◽

Ultrasound Images ◽

Stroke Patients ◽

Post Stroke ◽

Longitudinal Plane ◽

Study Population

This study aimed to investigate the feasibility of sonoelastography for determining echotexture in post-stroke patients. Moreover, the relationships of muscle echotexture features, muscle stiffness, and functional performance in spastic muscle were explored. The study population comprised 22 males with stroke. The echotexture features (entropy and energy) of the biceps brachii muscles (BBM) in both arms were extracted by local binary pattern (LBP) from ultrasound images, whereas the stiffness of BBM was assessed by shear wave velocity (SWV) in the transverse and longitudinal planes. The Fugl–Meyer assessment (FMA) was used to assess the functional performance of the upper arm. The results showed that echotexture was more inhomogeneous in the paretic BBM than in the non-paretic BBM. SWV was significantly faster in paretic BBM than in non-paretic BBM. Both echotexture features were significantly correlated with SWV in the longitudinal plane. The feature of energy was significantly negatively correlated with FMA in the longitudinal plane and was significantly positively correlated with the duration from stroke onset in the transverse plane. The echotexture extracted by LBP may be a promising approach for quantitative assessment of the spastic BBM in post-stroke patients.

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Profile and outcome of post stroke patients managed at selected public primary care health centres in Peninsular Malaysia: A retrospective observational study

Scientific Reports ◽

10.1038/s41598-018-36154-0 ◽

2018 ◽

Vol 8 (1) ◽

Cited By ~ 1

Author(s):

Aznida Firzah Abdul Aziz ◽

Mohd Fairuz Ali ◽

Mohammad Fhaisol Yusof ◽

Zuraidah Che’ Man ◽

Saperi Sulong ◽

...

Keyword(s):

Primary Care ◽

Observational Study ◽

Peninsular Malaysia ◽

Retrospective Observational Study ◽

Stroke Patients ◽

Post Stroke ◽

Primary Care Health ◽

Health Centres ◽

Care Health

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Relationship of Quadriceps Muscle Thickness with Motor Paralysis and Muscle Echo Intensity in Post-Stroke Patients

European Neurology ◽

10.1159/000500415 ◽

2019 ◽

Vol 81 (1-2) ◽

pp. 56-62 ◽

Cited By ~ 1

Author(s):

Hisashi Maeda ◽

Ken Imada ◽

Koji Ishida ◽

Hiroshi Akima

Keyword(s):

Muscle Thickness ◽

Quadriceps Muscle ◽

Muscle Quality ◽

Quality Loss ◽

Echo Intensity ◽

Stroke Patients ◽

Post Stroke ◽

Paretic Limb ◽

Motor Paralysis ◽

Relationship Of

Introduction: Quadriceps muscle atrophy and quality loss, defined as an increased ratio of intramuscular fat and/or connective tissue, are often observed especially in the paretic limb of post-stroke patients. This study was performed to examine the relationship of quadriceps muscle thickness (MT) with muscle echo intensity (EI) and the severity of motor paralysis after stroke. Methods: Thirty-six hemiparetic subacute post-stroke patients were enrolled. We examined the MT (index of muscle quantity) and the EI (index of muscle quality) at the anterior mid-thigh in both limbs. We also assessed the Brunnstrom stage (BR stage), subcutaneous adipose tissue thickness, time since stroke, age, body weight, sex, number of medications, and nutritional and inflammation status. Results: The MT in the paretic limb was explained by the BR stage (β = –0.26, p < 0.01), body weight (β = 0.68, p < 0.01), and serum albumin (β = 0.34, p < 0.01), with an adjusted R2 of 0.81. The MT in the non-paretic limb was explained by the muscle EI (β = –0.55, p < 0.01) and age (β = –0.40, p < 0.01), with an adjusted R2 of 0.69. The muscle EI was explained by the MT in the paretic limb (β = –0.34, p < 0.01) and non-paretic limb (β = –0.69, p < 0.01). Conclusions: Our results suggest that motor paralysis, aging, and malnutrition contribute to quadriceps atrophy in post-stroke patients. Moreover, a potential countermeasure to diminish muscle quality loss is maintenance of muscle quantity.

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