Int J Curr Pharm Res, Vol 16, Issue 5, 104-107Original Article

ASSESSMENT AND MANAGEMENT OF COGNITION AND MOTOR IMPAIRMENT AFTER STROKE THROUGH EXPLORATORY DATA ANALYSIS AND FORMULATION OF A MODEL INCORPORATING CONVENTIONAL EXISTING AND NEWER NEURO-TECHNOLOGY TOOLS

NAHID KOUSER*, DEEPAK LOHAR, JAFAR KHAN, ATULABH VAJPAYEE

Pacific College of Physiotherapy, Pacific Medical University, Udaipur, Rajasthan, India
*Corresponding author: Nahid Kouser; *Email: nahidnanu786@gmail.com

Received: 21 Jun 2024, Revised and Accepted: 07 Aug 2024


ABSTRACT

Objective: Stroke is defines as a sudden neurological deficit caused by focal vascular lesion. Stroke is a potentially life-changing event that can have lasting physical and emotional effects. Cognition is a term that refers to the mental processes involved in acquiring information and understanding. These cognitive processes include thought, learning, recalling, evaluating, and solving problems. Stroke affects the cognitive domain, which includes attention, memory, language, and orientation. Motor impairment can affect both gross motor skills (involving larger muscle groups and movements) and fine motor skills (involving smaller, more precise movements); stroke affect motor impairment as well.

We intended to analyze patient data with their cognition and motor impairment and compared various neurotechnology tools to make a model to predict best therapeutic tools for specific subset of patient population based on their outcome up to 2 y.

Methods: After the approval of institutional ethical committee, ischemic stroke between 18-60 y of age group patients were selected for the study based on the inclusion and exclusion criteria. We had created 2 groups in which we did advance plus conventional and conventional rehabilitation. The data was taken by using NIHS, MRS. The data was analyzed at the time of admission then 3rd month follow up then every 3 moly till 2 y of enrollment.

Results: conventional and newer technology tools were compared using the chi-square test for quantitative variables; there was a significant difference found in both the groups p-value was obtained by comparing both the groups [conventional rehabilitation and conventional plus advanced rehabilitation] after 3 mo, according to the NIHS scale the p-value was 0.297 which is non-significant, according to the MRS there was highly significant value which was 0.0004.

Conclusion: In this study both treatment groups obtained successful outcomes as measured by NIHS, MRS. There was a significantly difference found between the two groups at these scales. The result of this study showed that newer technology tools can decrease cognitive impairment after stroke, there was also observed that newer technology tools give faster recovery as compared to the conventional rehabilitation alone.

Keywords: Motor impairment, Newer neuro-technology tools


INTRODUCTION

Stroke is defines as a sudden neurological deficit caused by focal vascular lesion. Stroke is a potentially life-changing event that can have lasting physical and emotional effects [1]. Cognition is a term that refers to the mental processes involved in acquiring information and understanding. These cognitive processes include thought, learning, recalling, evaluating, and solving problems [2]. Stroke affects the cognitive domain, which includes attention, memory, language, and orientation. The most affected domains are attention and executive functions; at the time of stroke diagnosis, memory problems are often prominent [3].

In the past, the researchers identified the dementia after stroke as vascular dementia. But not all stroke survivors who suffer from the cognitive decline meet the criteria of the dementia. As a result, the vascular cognitive impairment (VCI) took over the past “vascular dementia”. However, there’s evidence suggesting that the cognitive impairment after stroke is involved in not only the VCI, but also the pathogenesis of Alzheimer’s disease (AD). The clinical study suggested that the pathogenesis of AD make contributions to the 1/3 demented cases after stroke (Desmond et al., 2000) [4].

The risk of the cognitive impairment after stroke is associated with the overlap of the frequent cerebrovascular disease and the dementia. According to the demography, the age and the education level are related to the post-stroke cognitive impairment risk. The age is the risk factor of not only stroke but also cognitive decline. There’s evidence suggesting that the prevalence of cognitive decline after stroke would increase exponentially as age increases after 65 y old [5].

One of the most important areas affected by stroke is motor skills. The patients may have disabilities in different degrees (mid, acute, severe), in different hemispheres (one or both), and at different levels: upper (face, neck), medium (trunk, upper limbs) and lower (lower limbs). Hemiparesis and motor recovery have been the most studied of all stroke impairments. Hemiparesis, defined as muscular weakness or partial paralysis restricted to one side of the body, is an impairment present in 88% of the stroke patients, affecting lower and upper limbs. Six months after stroke, about 38% of patients lightly recovers dexterity in the arm and only 12 % shows full recovery after conventional rehabilitation therapy [6]. Weakness and paresis are the most important impairments on the early stages after stroke as they lead to a learned nonuse of limbs. Immobility, chronic pain, and some sensory impairments can also contribute to the learned nonuse state. As the recovery progresses, spasticity and spastic co-contractions can induce some compensatory movements, which, if are persistent in time and repeated, may contribute to a learned bad use. The motor deficits resulting from an ischemic stroke to the three major cortical motor control regions of the brain, namely primary motor cortex, premotor areas and parietal cortex. Following the introduction, a detailed description of stroke and its pathophysiology is presented. This is followed by a discussion on the role of the primary motor cortex, premotor areas and parietal cortex in the normal voluntary control of movements. The motor deficits due to a stroke in these three cortical regions is discussed [7].

In absence of uniform practices and guideline for use conventional physiotherapy, occupational therapy, speech therapy and cognitive rehabilitation couple with advent of newer neurotechnology tools, interventions, robotics, artificial intelligence, bionics confuses to make a choice for a particular subset of patients. Moreover, many software like bimeo Virtual reality (VR), sensor system for upper limb will cost approx. 50, 000 euros and need for different VR, AI tools will make therapy very costly with no proven efficacy. As of now there is no single combination of comprehensive software or hardware meeting most if not all need of post-stroke cognitive and motor impairment. Second challenge is to deliver this expertise through teleneurology in era of better connectivity of the internet even in remote areas [8]. Many patients, especially in rural and tribal India are not motivated to undertake neurorehabilitation Programme due to many reasons like financial constraints, paucity of local facilities and expertise, discouraging short-term results, lack of clear guidelines. In fact, people in few religious places outnumber those registered with the neurorehabilitation Programme. We aim to optimize therapeutic multidisciplinary, multimodality neurorehabilitation interventions, neurotechnology and tools in large prospective cohort through data analysis. As of now there is no single combination of comprehensive software or hardware meeting most if not all need of post-stroke cognitive and motor impairment. Therefore we aimed to optimize therapeutic multidisciplinary, multi-modality neurorehabilitation interventions, neurotechnology and tools in large prospective cohort through data analysis.

We intended to analyze patient data with their cognition and motor impairment and compared various neurotechnology tools to make a model to predict best therapeutic tools for specific subset of patient population based on their outcome up to 2 y.

  1. We have assessed the cognition and motor improvement in post stroke patients through comparative data analysis.

  2. We have collected data with assessment scales from enrolled patients in the study.

  3. We have analyzed data through statistics to correlate the explored data and make a model for use in the impairment-specific patient population after stroke.

MATERIALS AND METHODS

  1. Study design: Hospital-Based Control Trial Study

  2. Location of the study: Outpatient and Inpatient Department of Pacific Medical College, Department of Neuroscience, Research Lab, Pacific Medical College and Hospital, Pacific Medical University, Udaipur Rajasthan India.

  3. Study population: All ischemic stroke patients

  4. Duration of the study: 2 y

  5. Sampling tachnique: Convinient sampling

  6. Sample size: 200 patients, 50 in each group

  7. Data analysis: The data was analyzed at the time of admission, then 3rd month follow up then every 3 moly till 2 y of enrollment. Assessment procedure: On the basis of inclusion criteria, subjects have been recruited. Stroke patients have been assessed with these scales. Patients who met the inclusion criteria were enrolled in the study. Informed Consent has been obtained. Assessments have been done using National Institute of Health Stroke Scale (NIHSS) to assess the impact of stroke and cognition, modified Rankin scale (MRS) to assess the disability outcome.

  1. Inclusion criteria: Any sex, Age: 18-60 y Post Stroke patient with residual motor impairment, speech impairment with aphasia or dysarthria, cognitive impairment and occupational impairment

  2. Exclusion Criteria: Coma, Low GCS (7 or below), Preexisting mental disorder, Fracture, Subluxation, Convulsion

Method

To check the level of recovery of cognition and motor impairment study was conducted during 20/1/22 to 30/2/24 in medical college and university. Pacific Medical College and hospital regional review board, Rajasthan, Indian ethical committee has approved this study according to the ethical standards. All participants have given informed consent form.

After taking the data we have created 2 groups, which are conventional rehabilitation and advanced plus conventional rehabilitation, and then we have categorized patients into four sub-groups needing physiotherapy, occupational therapy, speech therapy and cognitive therapy.

Group 1: In this group subjects necessitating physiotherapy have received one of the following treatments:

a) Conventional Physiotherapy, which includes ROM exercises, strength training, resistive exercises, balance training, walking, cycling, wheelchair exercises, task-oriented aerobic exercises fine motor task exercise, facilitation and inhibitory techniques, cryotherapy, aqua therapy, PNF, stretching, electrical stimulation, weight-bearing exercises, and standard medical treatment

b) Conventional Physiotherapy and standard medical treatment with Virtual therapy for upper and lower limb [bimeo, non-immersive VR], A. I assisted robotics therapy for upper and lower limb [lokomat, armeo,] music therapy [classical music, nature s’ sound, calming music, music with lyrics] and yoga [asana, downward facing dog, tree pose, child pose, kneeling half kneeling]

Group 2: In this group subjects necessitating occupational therapy have received one of the following treatments:

  1. conventional Occupational therapy, which includes learning skills like dressing, bathing, toileting, eating, drinking, training to improve balance and coordination and return to work, training to cope with challenges, adopting their living spaces developing equipment's for their home like chair, grabbers and raised toilet seat, and standard medical treatment

b) Conventional occupational therapy and standard medical treatment with Virtual reality therapy for upper and lower limb [bimeo, non immersive VR], A. I assisted robotics therapy for upper and lower limb [lokomat, armeo] music therapy [classical music, nature s’ sound, calming music, and music with lyrics] and yoga [asana, downward facing dog, tree pose, child pose, kneeling half kneeling]

Group 3: In this group subjects necessitating speech therapy, have received one of the following treatments:

  1. Conventional Speech therapy which includes oromotor exercise, swallowing therapy, MIT therapy pragmatic therapy behavioral modification therapy, output focused therapy, AAC therapy, postural therapy, and standard medical treatment

b) Conventional speech therapy and standard medical treatment with Virtual reality therapy for upper and lower limb [bimeo, non immersive VR], A. I assisted robotics therapy for upper and lower limb [lokomat, armeo] music therapy [classical music, nature s’ sound, calming music, and music with lyrics] and yoga [asana, downward facing dog, tree pose, child pose, kneeling half kneeling]

Group 4-In this group subjects necessitating cognitive therapy have received one of the following

Treatments

a) Conventional Cognitive therapy which includes behavioral therapy, counseling, biofeedback, relaxation therapy and standard medical treatment

b) Conventional Cognitive therapy and standard medical treatment with Virtual reality therapy for upper and lower limb [bimeo, non immersive VR], A. I assisted robotics therapy for upper and lower limb [lokomat, armeo] music therapy [classical music, nature s’ sound, calming music, and music with lyrics] and yoga [asana, downward facing dog, tree pose, child pose, kneeling half kneeling]

After 3 mo of rehabilitation we have taken the data of the same patients through the same scales and calculated the data. After that we again continued the rehabilitation according to the group.

RESULTS

Conventional and newer technology tools were compared using the chi-square test for quantitative variables according to the NIHS, MRS scales. There was a significant difference found in both the groups. P value was obtained by comparing both the groups [conventional rehabilitation and conventional plus advanced rehabilitation] after 3 mo according to the NIHS scale the p value was 0.297, which is non-significant we have not observed considerable difference between advanced rehabilitation and conventional rehabilitation however, we have perceived that cognition was improved greater at NIHS scale in advanced rehabilitation compared to the conventional rehabilitation, according to the MRS there was highly significant value which was 0.0004. We have observed that advanced rehabilitation has given the finest result compared to the conventional rehabilitation.

Table 1: Age group-wise distribution

Age group Advanced Conventional Total
No. % No. % No. %
31-40 4 16.00% 0 0.00% 4 8.00%
41-50 4 16.00% 4 16.00% 8 16.00%
51-60 5 20.00% 10 40.00% 15 30.00%
61-70 7 28.00% 2 8.00% 9 18.00%
71-80 4 16.00% 9 36.00% 13 26.00%
>80 1 4.00% 0 0.00% 1 2.00%
Total 25 50.00% 25 50.00% 50 100.00%

Chi Square p value = 0.044 (S)

Table 2: Diagnosis-wise distribution (At Admission)

Distribution Advanced Conventional
No. % No. %
Left MCA Infract 8 32.00% 10 40.00%
Left Medullary Infract 2 8.00% 0 0.00%
Left PCA Infract 1 4.00% 0 0.00%
Left Pontine Infract 1 4.00% 0 0.00%
Left Thalamic Infract 0 0.00% 1 4.00%
Multiple Territory Infract 0 0.00% 1 4.00%
Pontine Infract 0 0.00% 1 4.00%
Right MCA Infract 10 40.00% 10 40.00%
Right Medullary Infract 1 4.00% 0 0.00%
Right PCA Infract 1 4.00% 1 4.00%
Right Pontine Infract 0 0.00% 1 4.00%
Right Thalamic Infract 1 4.00% 0 0.00%
Total 25 100% 25 100%

Table 3: Distribution according to NIHS scale (At Admission)

NIHS scale Advanced Conventional
No. % No. %
No stroke symptoms (0) 0 0.00% 0 0.00%
Minor stroke (1-4) 1 4.00% 4 16.00%
Moderate stroke (5-15) 21 84.00% 19 76.00%
Moderate to severe stroke (16-20) 3 12.00% 2 8.00%
Severe stroke (21-42) 0 0.00% 0 0.00%

Chi Square p value=<0.001 (HS)

Table 4: Distribution according to MRS scale (At admission)

Score MRS scale Advanced Conventional
No. % No. %
0 No Symptoms at all 0 0% 0 0%
1 No significant disability despite symptoms; able to carry out all usual duties and activities 0 0.00% 1 4.00%
2 Slight disability; unable to carry out all previous activities, but able to look after own affairs without assistance 1 4.00% 6 24.00%
3 Moderate disability; requiring some help, but able to walk without assistance 8 32.00% 4 16.00%
4 Moderately severe disability; unable to walk without assistance and unable to attend to own bodily needs without assistance 16 64.00% 14 56.00%
5 Severe disability; bedridden, incontinent and requiring constant nursing care and attention 0 0% 0 0%
6 Dead 0 0% 0 0%

Chi-Square p value = 0.109; NS

Table 5: Distribution according to MRS scale (After 3 mo)

Score MRS scale Advanced Conventional
No. %
0 No Symptoms at all 7 28.00%
1 No significant disability despite symptoms; able to carry out all usual duties and activities 10 40.00%
2 Slight disability; unable to carry out all previous activities, but able to look after own affairs without assistance 7 28.00%
3 Moderate disability; requiring some help, but able to walk without assistance 1 4.00%
4 Moderately severe disability; unable to walk without assistance and unable to attend to own bodily needs without assistance 0 0.00%
5 Severe disability; bedridden, incontinent and requiring constant nursing care and attention 0 0.00%
6 Dead 0 0.00%

Chi Square p value = 0.0004; HS

Table 6: Distribution according to NIHS scale (After 3 mo)

NIHS scale Advanced Conventional
No. % No. %
No stroke symptoms (0) 2 8.00% 0 0.00%
Minor stroke (1-4) 13 52% 12 48%
Moderate stroke (5-15) 10 40% 13 52%
Moderate to severe stroke (16-20) 0 0.00% 0 0.00%
Severe stroke (21-42) 0 0.00% 0 0.00%

Chi Square p value = 0.297; NS

CONCLUSION

In this study both treatment groups obtained successful outcomes as measured by NIHS, MRS. There was a significantly difference found between the two groups at these scales. The result of this study showed that the newer technology tools can decrease the cognitive impairment after stroke according to the nihs scale, there was also observed that newer technology tools give faster recovery as compared to conventional rehabilitation alone. It was observed that newer technology tools not only improves mood and cognition function but also motivate patients to participate in rehabilitation making their recovery better. It has been noticed through mmt scale that with advanced rehabilitation along with music and yoga and standard medical treatment patients were willingly participate in rehabilitation; therefore the motor power of UL, LL both were improved in comparison to conventional rehabilitation.

FUNDING

Nil

AUTHORS CONTRIBUTIONS

All the authors have contributed equally.

CONFLICTS OF INTERESTS

Declared none

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