Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Wednesday, December 2, 2020

The effects of a rhythm and music-based therapy program and therapeutic riding in late recovery phase following stroke: a study protocol for a three-armed randomized controlled trial

Well, has your stroke hospital not been able to translate riding and music from acute trials? THAT IS HOW INCOMPETENT YOUR STROKE HOSPITAL IS!

The effects of a rhythm and music-based therapy program and therapeutic riding in late recovery phase following stroke: a study protocol for a three-armed randomized controlled trial

 2012, BMC Neurology
 Lina Bunketorp Käll 1, 
Åsa Lundgren-Nilsson 2, 
Christian Blomstrand 1, 
Marcela Pekna 1, 
Milos Pekny1 *
and Michael Nilsson 1,3*

Abstract

Background:
 Stroke represents one of the most costly and long-term disabling conditions in adulthood worldwideand there is a need to determine the effectiveness of rehabilitation programs in the late phase after stroke. Limited scientific support exists for training incorporating rhythm and music as well as therapeutic riding and well-designed trials to determine the effectiveness of these treatment modalities are warranted.
Methods/Design:
 A single blinded three-armed randomized controlled trial is described with the aim to evaluate whether it is possible to improve the overall health status and functioning of individuals in the late phase of stroke(1-5 years after stroke) through a rhythm and music-based therapy program or therapeutic riding. About 120 individuals will be consecutively and randomly allocated to one of three groups: (T1) rhythm and music-based therapy program; (T2) therapeutic riding; or (T3) control group receiving the T1 training program a year later.Evaluation is conducted prior to and after the 12-week long intervention as well as three and six months later. The evaluation comprises a comprehensive functional and cognitive assessment (both qualitative and quantitative),and questionnaires. Based on the International classification of functioning, disability, and health (ICF), the outcome measures are classified into six comprehensive domains, with participation as the primary outcome measure assessed by the Stroke Impact Scale (SIS, version 2.0.). The secondary outcome measures are grouped within the following domains: body function, activity, environmental factors and personal factors. Life satisfaction and health related quality of life constitute an additional domain.
Current status:
 A total of 84 participants were randomised and have completed the intervention. Recruitmentproceeds and follow-up is on-going, trial results are expected in early 2014.
Discussion:
 This study will ascertain whether any of the two intervention programs can improve overall healthstatus and functioning in the late phase of stroke. A positive outcome would increase the scientific basis for the useof such interventions in the late phase after stroke.
Trial registration:
 Clinical Trials.gov Identifier: NCT01372059
* Correspondence: milos.pekny@neuro.gu.se; michael.nilsson@neuro.gu.se
1 Center for Brain Repair and Rehabilitation, Department of ClinicalNeuroscience and Rehabilitation, Institute of Neuroscience and Physiology,Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
3 Hunter Medical Research Institute, University of Newcastle, Newcastle,AustraliaFull list of author information is available at the end of the article
© 2012 Bunketorp Kall et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of theCreative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited.
Bunketorp Käll
 et al. BMC Neurology
 2012,
 12
:141http://www.biomedcentral.com/1471-2377/12/141

Can I Discharge My Stroke Patient Home After Inpatient Neurorehabilitation? LIMOS Cut-Off Scores for Stroke Patients “Living Alone” and “Living With Family”

 Of course you can. With your effective stroke rehab protocols in the hospital and the ones you are sending home with them they will soon be back to 100% recovery. OH, YOU DON'T HAVE THAT? Well, what the fuck are you doing to get there?

Can I Discharge My Stroke Patient Home After Inpatient Neurorehabilitation? LIMOS Cut-Off Scores for Stroke Patients “Living Alone” and “Living With Family”

  • 1Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland
  • 2Clinical Trial Unit Central Switzerland, University of Lucerne, Lucerne, Switzerland
  • 3ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation Group, University Bern, Bern, Switzerland

Background: Discharge planning of stroke patients during inpatient neurorehabilitation is often difficult since it depends both on the patient's ability to perform activities of daily living (ADL) and the social context. The aim of this study was to define ADL cut-off scores using the Lucerne ICF-based multidisciplinary observation scale (LIMOS) that allow the clinicians to decide whether stroke patients who “live alone” and “live with a family” can be discharged home or must enter a nursing home. Additionally, we investigated whether age and gender factors influence these cut-off scores.

Methods: A single-center retrospective cohort study was conducted to establish cut-off discharge scores for the LIMOS. Receiver-operating-characteristics curves were calculated for both patient groups “living alone” and “living with family” to illustrate the prognostic potential of the LIMOS total score with respect to their discharge goals (home alone or nursing home; home with family or nursing home). A logistic regression model was used to determine the (age- and gender-adjusted) odds ratios of being released home if the LIMOS total score was above the cut-off. A single-center prospective cohort study was then conducted to verify the adequacy of the cut-off values for the LIMOS total score.

Results: A total of 687 stroke inpatients were included in both studies. For the group “living alone” a LIMOS total score above 158 indicated good diagnostic accuracy in predicting discharge home (sensitivity 93.6%; specificity 95.4%). A LIMOS total cut-off score above 130 points was found for the group “living with family” (sensitivity 92.0%; specificity 88.6%). The LIMOS total score odds ratios, adjusted for age and gender, were 292.5 [95% CI: (52.0–1645.5)] for the group “living alone” and were 89.4 [95% CI: (32.3–247.7)] for the group “living with family.”

Conclusion: Stroke survivors living alone needed a higher ADL level to return home than those living with a family. A LIMOS total score above 158 points allows a clinician to discharge a patient that lives alone, whereas a lower LIMOS score above 130 points can be sufficient in a patient that lives with a family. Neither age nor gender played a significant role.

Introduction

The planning of discharge during inpatient neurorehabilitation in stroke patients is a dynamic process and critically depends on the patients' functional progress and ability to perform activities of daily living (ADLs). In addition to performance in ADL, various factors such as demographic background, age, gender, access to municipal organizations and the social context also plays an important role in deciding whether a patient can return home or must enter a nursing home (1, 2). Previous studies emphasized that one of the strongest factors of being discharged home or not is the living situation [i.e., if a patient lives alone or with a family (35)]. Stroke survivors often require the assistance of family caregivers to cope with their physical, cognitive and emotional deficits at home (6, 7). After inpatient neurorehabilitation, patients who have a caregiver at home are therefore more likely to be discharged home (3, 4) than patients living alone (1, 3, 4, 8). For instance, although stroke survivors living alone can partially be supported by community or professional organizations, they lack the twenty-four-seven support of a person living in the same household. This suggests that to be discharged home, a stroke patient living alone must show better performance in the activities of daily living (ADLs; e.g., moving around at home, preparing a meal etc.) than a stroke patient living with a family. This is particularly relevant for Switzerland, since a third of the Swiss population lives alone (9). This trend is also steadily increasing worldwide (10, 11).

Therefore, it is important to continuously assess ADL performance of inpatients during neurorehabilitation and to estimate performance levels sufficient for returning home. To accurately measure the ability of ADL performance according to the International Classification of Functioning, Disability and Health (ICF) framework set by the World Health Organization (WHO), we recently developed the Lucerne ICF-based Multidisciplinary Observation Scale (LIMOS) and validated it in stroke patients (12). Using this scale, patients with stroke are observed with respect to their activity ability by health professionals involved in their neurorehabilitation (nurses, physiotherapists, speech therapists, occupational therapists, as well as neurologists). This will be done in the first 72 h after admission, then weekly during the stay and in the last 72 h before discharge from inpatient neurorehabilitation. The observations are structured and consist of 45 basic and instrumental ADL items based on the (ICF) framework, which are categorized in four factors (interpersonal activities, motor and self-care; communication; knowledge and general tasks; and domestic life). The LIMOS measures the level of assistance needed from the health professionals, with higher scores representing more independence (12). As each discipline rates their own subpart within the whole LIMOS, it is easy and short to conduct and requires only 5 to 10 min per discipline. The advantage of LIMOS is that it is more comprehensive and more sensitive than the Functional Independence Measure (FIM) and Barthel Index (BI) (13). In addition, the LIMOS scale shows neither floor nor ceiling effects at admission and discharge, in contrast, to the FIM and BI (12, 13). Using the LIMOS thus allows the patients' activity levels to be assessed comprehensively.

Based on previous studies suggesting that ADL performance and living situations are crucial factors to be able to return home after stroke neurorehabilitation (1, 5), the aim of the present study was to define LIMOS cut-off scores in ADL performance for stroke patients living alone and those living with a family. Such scores would provide clinicians a tool that facilitates the decision concerning the discharge destination during inpatient rehabilitation. A second aim was to verify whether the factors age and gender influence these cut-off scores because previous studies have found that older people and women had a worse prognosis for returning home after stroke (1, 14, 15).

 

Cognitive Training for Mild Traumatic Brain Injury and Posttraumatic Stress Disorder

Does your doctor have enough brain cells to see how this could be applied to stroke and recover your lost 5 cognitive years from the stroke?

THIS IS YOUR DOCTOR'S RESPONSIBILITY.

Cognitive Training for Mild Traumatic Brain Injury and Posttraumatic Stress Disorder

Kristin W. Samuelson1*, Krista Engle1, Linda Abadjian1, Joshua Jordan2, Alisa Bartel1, Margaret Talbot1, Tyler Powers1, Lori Bryan1 and Charles Benight1
  • 1Department of Psychology, National Institute for Human Resilience, University of Colorado Colorado Springs, Colorado Springs, CO, United States
  • 2Department of Psychiatry, University of California San Francisco, San Francisco, San Francisco, CA, United States

Although there is evidence of mild cognitive impairments for many individuals with mild traumatic brain injury (mTBI) and posttraumatic stress disorder (PTSD), little research evaluating the effectiveness of cognitive training interventions has been conducted. This randomized controlled trial examined the effectiveness of a 9-h group cognitive training targeting higher-order functions, Strategic Memory Advanced Reasoning Training (SMART), compared to a 9-h psychoeducational control group in improving neurocognitive functioning in adults with mTBI and PTSD. A sample of 124 adults with histories of mild TBI (n = 117) and/or current diagnoses of PTSD (n = 84) were randomized into SMART (n = 66) or Brain Health Workshop (BHW; n = 58) and assessed at three time points: baseline, following training, and 6 months later. Participants completed a battery of neurocognitive tests, including a test of gist reasoning (a function directly targeted by SMART) as well as tests of verbal, visual, and working memory and executive functioning, functions commonly found to be mildly impaired in mTBI and PTSD. The two groups were compared on trajectories of change over time using linear mixed-effects models with restricted maximum likelihood (LMM). Contrary to our hypothesis that SMART would result in superior improvements compared to BHW, both groups displayed statistically and clinically significant improvements on measures of memory, executive functioning, and gist reasoning. Over 60% of the sample showed clinically significant improvements, indicating that gains can be found through psychoeducation alone. A longer SMART protocol may be warranted for clinical samples in order to observe gains over the comparison group.

Introduction

Approximately 1.7 million traumatic brain injuries (TBI) occur in the United States each year (1, 2). The majority of those (75%) are mild traumatic brain injuries (mTBI), which often involve physical, cognitive, and affective symptoms in the acute phase followed by resolution of symptoms after ~1 month (3). However, an estimated 10–20% of patients continue to report symptoms that persist months to years after the injury (4, 5) that have been associated with social and occupational dysfunction, including under-employment, low income, and marital problems (69). As such, identifying efficacious interventions for cognitive deficits related to mTBI is a priority.

In addition, mTBI is highly comorbid with posttraumatic stress disorder (PTSD), which represents a potential complicating factor in recovery. Among veterans with histories of TBI, rates of PTSD range from 33 to 65% (10, 11). PTSD has been associated consistently with mild neurocognitive deficits in a number of domains. Meta-analyses reveal significant differences between individuals with PTSD compared to healthy and trauma-exposed controls, representing medium to large effect sizes, in the domains of verbal learning and memory, processing speed, attention/working memory, and executive functions (12, 13). Moreover, patients with PTSD self-report cognitive problems with detrimental impacts on social and occupational functioning (1416).

Research on neuropsychological functioning in mTBI is less consistent, in part due to the heterogeneity in the criteria used to define mTBI, populations sampled, time since injury, and mechanisms of injury. Individuals with persisting post-concussive cognitive complaints have shown impairments in sustained attention (1719), divided attention (20), selective attention and inhibitory control (17, 21), cognitive flexibility and planning (8, 22, 23), processing speed (24), verbal memory (2528), and visual memory (18). In addition, even patients who report full recovery may continue to experience cognitive problems under conditions of physical or psychological stress (29). The high comorbidity of mTBI and PTSD presents the potential for greater impaired functioning. In studies examining mTBI and PTSD concurrently, the majority found that while PTSD was related to neuropsychological impairments, mTBI was not (3032). However, some studies have found a poorer performance profile in individuals with both mTBI and PTSD, as compared to those with mTBI or PTSD alone (21, 31). Given the overlap of structural and functional changes and neurocognitive deficits seen in both PTSD and mTBI [e.g., (33, 34)] there is a critical lack of investigations that evaluate cognitive rehabilitation approaches for these individuals. This paper attempts to fill this void.

Brain regions particularly vulnerable to both mTBI and PTSD are the frontal lobes, which are involved in learning and memory operations, executive functioning, attention and working memory, and reasoning abilities. The importance of frontal lobe function in neurological recovery after TBI is reflected in functions such as motivation, attention, and working memory that are prerequisites for optimal rehabilitation. Difficulties in these areas are considered poor prognostic indicators for TBI rehabilitation (35). Rehabilitation of frontal lobe functions is thus a crucial goal for enhancing recovery from brain injuries.

Prior studies have demonstrated that training-based rehabilitation therapy helps patients with neurological damage (3639). However, a major limitation of many rehabilitation studies is the lack of a theoretical foundation based on known mechanisms of brain function, which can serve to guide treatment development. The proliferation of computer-based technology over the past decade has led to the rise of the rehabilitative models that employ repeatable tasks and mass training. Despite their popularity, results on the efficacy of these restorative training programs have been mixed, and considerable debate remains regarding how to effectively restore cognitive capacities following TBI.

To date, randomized controlled trials (RCTs) aimed at improving cognitive functioning in patients with mTBI have shown limited effectiveness (4042). The research literature examining cognitive rehabilitation (CR) for mTBI has been limited by a lack of well-designed and sufficiently powered studies that fail to include control groups and functional outcomes (41, 43). RCTs aimed at treating cognitive symptoms in the post-acute or chronic stage are particularly lacking. A recent exception is a study that compared psychoeducation, computerized brain training, therapist-led CR, and a therapist-led CR/psychotherapy hybrid (40). The four interventions were equivalent in improving cognitive functioning, with between 23 and 33% of participants showing reliable change on the primary working memory outcome. The therapist-led CR and the integrated groups showed significantly greater improvements on a self-report of functional cognitive and behavioral difficulties (23 and 19%, respectively, in the two groups, showed reliable change) compared to psychoeducation and computerized brain training. However, these interventions were resource-intensive, with treatment consisting of daily therapy for 6 weeks.

Research examining CR for PTSD-related cognitive impairments is lacking. Recently, researchers tested the effectiveness of a computerized cognitive training program, a hybrid of Lumosity and MyBrainSolutions, in improving neurocognitive functioning in a sample of primarily motor vehicle accident survivors recruited from emergency rooms (44). Compared to the control group that engaged in computer games, card games, and matching tasks, the CR group showed significant improvements (Cohen's d = 0.58) in cognitive flexibility after 1 month of CR, assessed 3 months following the trauma. This study lends preliminary support for the use of cognitive training for PTSD, particularly in the acute phase, although less is known about the treatment of long-term cognitive impairments related to PTSD.

Researchers have argued that for rehabilitative interventions to be successful, they must target skills that are directly applicable to daily functioning, particularly for patients with more mild impairment levels, as is the case with mTBI and PTSD (45, 46). In addition, given the importance of frontal lobe functioning in both mTBI and PTSD, cognitive training must address higher-order, frontal lobe-mediated cognitive skills.

The development of Strategic Memory and Reasoning Training [SMART; (47, 48)] addressed this need, with the goal of targeting higher-order functions found to be crucial for the recovery following brain injury (49). Prior research has shown that when these specific brain functions are targeted, such as the ability to focus on a task while ignoring irrelevant information, brain changes are more significant (4951). SMART emphasizes top-down processing by targeting focused attention, assimilation of information, mental flexibility, and innovation, all higher-order cognitive functions driven by the frontal lobes. Other top-down cognitive training programs have demonstrated effectiveness in improving cognitive and daily functioning in individuals reporting more severe brain injuries (5053); however, limited research has been devoted to milder brain injuries.

The goal of SMART is to teach metacognitive strategies to enhance time and cognitive resource management through goal setting and the inhibition of distracting or irrelevant stimuli. In addition, it prioritizes deeper level synthesis of information to obtain the “gist” while encouraging fluid and flexible thinking (54, 55). Training in gist reasoning, or “the ability to strategically comprehend and convey generalized, core meaning(s) from complex information,” is a primary component of the SMART protocol [54, p. 2]. Strong gist reasoning minimizes the cognitive overload of competing stimuli in the environment and focuses on constructing meaning rather than remembering details. Gist reasoning impairments have been found in adults and adolescents with mild and moderate TBI (56, 57). In addition, gist reasoning is associated with frontal lobe activation and draws upon functions of inhibitory control, working memory, cognitive flexibility, abstract reasoning, and fluency (56, 58), domains often impaired in both TBI and PTSD.

The effectiveness of SMART has been tested in a number of studies of adults and adolescents with TBI. The typical SMART training consists of 15 h of training conducted over 10 group sessions in the first 5 weeks and a final 3 h of training at spaced intervals over the next 3 weeks. Vas et al. (59) conducted an RCT comparing SMART to a psychoeducational control (Brain Health Workshop; BHW) in adults with TBI histories of >2 years and moderate functional impairment. The majority of participants' brain injuries were not specified as mild, moderate, or severe. SMART was associated with significantly greater improvements in gist reasoning compared to psychoeducation controls. Generalized improvements were also seen in working memory and participation in functional activities, domains that were not directly targeted by the SMART training. These gains were maintained 6 months post-training.

A subsequent study with children and adolescents who had received a mild, moderate, or severe closed-head TBI at least 6 months prior to study participation also demonstrated positive findings. These participants, who demonstrated below average gist reasoning skills at baseline, completed either a shorter SMART training protocol of eight 45-min sessions or a memory training (60). The SMART participants displayed significant improvements in their ability to abstract meanings (d = 1.41) and recall facts (d = 0.77) compared to the control group. The SMART participants also demonstrated significant improvements in the untrained executive functions of working memory (d = 0.94) and inhibition (d = 0.73), whereas the control group participants did not. In a larger RCT of adults with a history of unclassified TBI who were experiencing mild cognitive impairments at the time of the training, Vas et al. (57) compared receiving at least 18 h of SMART to BHW over 8 weeks. They found greater improvements for SMART participants on measures of gist reasoning, set shifting, and self-reported psychological health and daily function. These studies demonstrate the effectiveness of SMART in samples of individuals with a range of brain injury severity. One of the purposes of the present study was to assess its effectiveness in a sample of adults with milder brain injuries.

Notably, SMART is also effective in improving cognitive functioning in cognitively healthy individuals (54, 58, 6163), which suggests that SMART may show benefits for individuals with mTBI and PTSD who have less impaired, or even average, functioning. Lack of impairment is not uncommon for many individuals with mTBI or PTSD [e.g., (25, 6470)], yet appraisals of cognitive functioning are often negative and not aligned with objective performance (16, 7174). As a result, targeting cognitive functions via an approach that emphasizes neuroplasticity and psychoeducation may additionally improve expectancies and appraisals.

The developers of SMART recently introduced a shortened SMART training of three, 3-h sessions that has not yet been tested with mTBI. Similarly shortened protocols have shown gains in higher-order reasoning, working memory, and immediate and delayed memory in adolescents and adults with chronic mTBI (75). To our knowledge, SMART has never been tested with patients with PTSD, a population that struggles with cognitive problems with limited existing cognitive rehabilitation research. The overlap of both structural and functional changes and neurocognitive deficits seen in both PTSD and mTBI [e.g. (33, 34)] and the high rates of comorbidity associated with poorer functional outcomes, highlights the need for cognitive rehabilitation research that addresses both conditions alone and together. The purpose of the current study was to investigate the effectiveness of a shortened SMART training program, compared to a psychoeducation control, in improving neurocognitive functioning in patients with mTBI and/or PTSD. We hypothesized that participation in SMART, compared to the control group, would result in improved gist reasoning as well as improved performance on tests of generalized cognitive functions (working memory, verbal memory, visual memory, and executive functioning).

 

Tuesday, December 1, 2020

Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning

 

The mentors and senior researchers need to be fired for allowing this prediction crapola instead of actually getting survivors recovered.

Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning

Xiang Li1,2, XiDing Pan3, ChunLian Jiang4, MingRu Wu1, YuKai Liu5*, FuSang Wang1,2, XiaoHan Zheng1,2, Jie Yang6, Chao Sun1,2, YuBing Zhu3, JunShan Zhou5, ShiHao Wang7, Zheng Zhao3* and JianJun Zou2*
  • 1School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
  • 2Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
  • 3Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
  • 4Department of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
  • 5Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
  • 6Department of Neurology, the First Affiliated Hospital of Chengdu Medical College, Chengdu, China
  • 7School of Public Health, Bengbu Medical College, Bengbu, China

Background and Purpose: Accurate prediction of functional outcome after stroke would provide evidence for reasonable post-stroke management. This study aimed to develop a machine learning-based prediction model for 6-month unfavorable functional outcome in Chinese acute ischemic stroke (AIS) patient.

Methods: We collected AIS patients at National Advanced Stroke Center of Nanjing First Hospital (China) between September 2016 and March 2019. The unfavorable outcome was defined as modified Rankin Scale score (mRS) 3–6 at 6-month. We developed five machine-learning models (logistic regression, support vector machine, random forest classifier, extreme gradient boosting, and fully-connected deep neural network) and assessed the discriminative performance by the area under the receiver-operating characteristic curve. We also compared them to the Houston Intra-arterial Recanalization Therapy (HIAT) score, the Totaled Health Risks in Vascular Events (THRIVE) score, and the NADE nomogram.

Results: A total of 1,735 patients were included into this study, and 541 (31.2%) of them had unfavorable outcomes. Incorporating age, National Institutes of Health Stroke Scale score at admission, premorbid mRS, fasting blood glucose, and creatinine, there were similar predictive performance between our machine-learning models, while they are significantly better than HIAT score, THRIVE score, and NADE nomogram.

Conclusions: Compared with the HIAT score, the THRIVE score, and the NADE nomogram, the RFC model can improve the prediction of 6-month outcome in Chinese AIS patients.

Introduction

Globally, stroke is a leading cause of mortality and disability (1). In developing countries, the prevalence of stroke is increasing as the population ages. Patients who survive stroke have an increased economic burden due to post-stroke care (2). Therefore, accurate prediction of functional outcome after stroke would provide evidence for reasonable post-stroke management and thus improve the allocation of health care resources.

The prognostic prediction requires the processing of patients' clinical data, such as demographic information, clinical features, and laboratory tests results. Then, the model is developed to predict prognosis base on existing data. Several prognostic models have been developed to predict the clinical outcome after stroke, such as Houston Intra-arterial Recanalization Therapy (HIAT) score, Totaled Health Risks in Vascular Events (THRIVE) score and NADE nomogram (35). They are generally based on regression model with the assumption of a linear relationship between variables and the outcomes. The THRIVE score and HIAT score were developed based on Whites or Blacks, not Asians. Compared with White patients, the average age of Asian patients was younger (6, 7). In addition, several studies have observed worse survival in Whites with stroke compare to other race (8, 9). Importantly, the long-term outcomes of stroke were significantly different by race (7). Thus, it is difficult for these models to achieve accurate predictive performances on the Chinese population.

Machine-learning (ML) approaches have been widely used in medical fields (10). Recently, it has shown effective capability in disease prediction, especially in the analysis of large datasets with a multitude of variables (1113). ML uses computer algorithms to build a model from labeled data and to make data-driven predictions. It enables the computer to process complex non-linear relationships between variables and outcomes, which may be hard to be detected by conventional regression models (14). Such advantages increase the accuracy of prediction model. ML includes multiple algorithms, such as logistic regression (LR), random forest classifier (RFC), support vector machine (SVM), fully-connected deep neural network (DNN), and extreme gradient boosting (XGBoost). The optimal selection of algorithm should be in accordance with the characteristics of the dataset. Meanwhile, the popularity of electronic patient record (EPR) systems and wide availability of structured patient data make sophisticated computer algorithms implemented at the bedside a reality.

In this study, we aim to develop the models using ML method to predict 6-month unfavorable outcomes in Chinese stroke patients, and then compare the performance of ML-based methods with existing clinical prediction scores.

 

Stroke survivor and BHRUT volunteer publishes book about her long road to recovery

So obviously the hospital she was at completely failed her, it should have been a well defined and time limited road to recovery using EXACT STROKE PROTOCOLS.

Stroke survivor and BHRUT volunteer publishes book about her long road to recovery

A former stroke patient who now volunteers to help others recover at King George Hospital has written a book about her recovery.

Louise Hulbert, from Chigwell, had just returned from three weeks enjoying the El Camino pilgrimage, a long distance walk from the south of France to northern Spain crossing the Pyrenees on the way, when she had a stroke in her home in 2014.

The 65-year-old retired PE teacher woke up on the floor in the middle of the night unable to move.

It was only when friends came looking for her the next morning that she was taken to Queen’s Hospital, run by Barking, Havering and Redbridge University Hospitals NHS Trust (BHRUT).

She needed to stay at the hospital for three months and a further month on a rehab ward to recover.

Louise volunteers on the stroke rehab ward at the Goodmayes hospital, to give back for the great care(Notice the word 'care';NOT RESULTS OR RECOVERY!) she received, and has now decided to write a book about her experiences, which is due to be published on December 4.


The idea for the book, From Burgos to Bedroom Floor And Back Again, came after a throwaway comment during lockdown when someone told her she should turn her experiences into a book.

Louise said: “It was never something I’d considered, however, I started one chapter and found I couldn’t stop.

“It was really therapeutic for me and I hope that it will encourage and inspire other stroke survivors that you can go on to have a good life after a stroke.”

In her volunteer role at the hospital she has helped with hand therapy sessions, as well as chatting with patients about her experiences and she also volunteers for Stroke Rehab Dogs.

She added: “I feel I’m in a good position to help. They’re often surprised I’m walking around, and that I drove myself there, when they hear I’ve had a stroke too.

“Like a lot of people, I’ve been left with lifelong effects following my stroke, my left side is very weak and I can’t play sports like I used to.

“But I feel I’ve had a good recovery and can live a normal life. I also find it does me good to see patients working hard in their recovery.”

 

Prehospital Stroke Screening Showdown Crowns Two Tools

This line way down in the article is where I would prefer research being done. 

In any case, future advances in prehospital stroke triage might depend more on technology, according to the editorialists. 

Just validate which of these fast diagnosis tools is the best.

Maybe one of these much faster possibilities?

Hats off to Helmet of Hope - stroke diagnosis in 30 seconds   February 2017

 

Microwave Imaging for Brain Stroke Detection and Monitoring using High Performance Computing in 94 seconds March 2017

 

New Device Quickly Assesses Brain Bleeding in Head Injuries - 5-10 minutes April 2017

 

The latest here:

Prehospital Stroke Screening Showdown Crowns Two Tools

 

Investigators externally validate stroke scales in the field

Paramedics evaluate an elderly man on his front porch

Two prehospital prediction scales were better than others at identifying stroke patients who might be candidates for mechanical thrombectomy in the Netherlands, though results might vary in other countries and regions.

The most accurate large vessel occlusion (LVO) prediction scales were the Los Angeles Motor Scale (LAMS) and Rapid Arterial Occlusion Evaluation (RACE) tool, with estimated accuracy rates of 89% and 88%, respectively, according to Nyika Kruyt, PhD, of Leiden University Medical Center, the Netherlands, and colleagues reporting online in JAMA Neurology.

These two scales significantly outperformed other prediction scales tested:

  • Cincinnati Stroke Triage Assessment Tool (C-STAT)
  • Prehospital Acute Stroke Severity (PASS)
  • Gaze-face-arm-speech-time (G-FAST)
  • Field Assessment Stroke Triage for Emergency Destination (FAST-ED)
  • Gaze, facial asymmetry, level of consciousness, extinction/inattention (GACE)

For the study, paramedics filled in a page of 10 to 13 neurologic observations on-site or during transport of each stroke code patient in the Leiden and The Hague regions. Investigators then retrospectively reconstructed and tested seven LVO prediction scales from this data on 2,007 adults with suspected stroke.

Prevalence of symptomatic, anterior circulation LVO [sLAVO] was 7.9% in this cohort.

"In practice, the preferred sLAVO prediction scale will depend on the local context, which will include such factors as prevalence of sLAVO, differences in transport times between hospitals, in-hospital performance metrics, and local policies," according to Kruyt and colleagues.

Thus, results of their head-to-head comparison of stroke scales -- in the setting of a Dutch population counting approximately 2 million people with two EMS systems, three comprehensive stroke centers, and four primary stroke centers -- may not be reproduced in other places.

All seven prehospital triage scales demonstrated good accuracy, high specificity (80%-93%), and low sensitivity (38%-62%) in identifying candidates for endovascular thrombectomy.

"Of course, given their universally low sensitivities by design, application of any of these scales is expected to lead to a high rate of false positives. And the consequence for patients with false positives is a high level of overtriage to thrombectomy stroke centers or to comprehensive stroke centers," commented Kori Zachrison, MD, MSc, of Massachusetts General Hospital and Harvard Medical School in Boston, and Pooja Khatri, MD, MSc, of University of Cincinnati, Ohio.

Such overtriage could lead to longer transport times and delays in alteplase (Activase) administration for eligible patients, the distancing of patients from families and support networks, and unnecessary crowding at comprehensive stroke centers, they warned in an accompanying editorial.

"Even so, in the long run, some overtriage is likely justified, and resources may need to be allocated to allow for this, given the unprecedented but time-sensitive benefit of endovascular thrombectomy on patient morbidity and mortality," they wrote.

The study included people with EMS-activated stroke codes after initial FAST testing in 2018-2019. Mean age was 71.1 years, and 50.9% of the patients were men. The median NIH Stroke Scale score was 4.

Among the screening tools tested, RACE had a relatively low 78.1% feasibility rate, or the proportion of acute stroke codes for which the prehospital scale could be reconstructed. The most frequently missing item was motor deficit in the legs.

In contrast, the PASS scale had the best feasibility at 87.9%, which the authors suggested was due to the scale having fewer items that needed to be assessed compared with the other scales.

"[I]t is important to take feasibility into account before implementing a prediction scale in the field because focused training could substantially increase these rates," Kruyt's group said.

"The authors appropriately recognized that, in addition to accuracy, consideration of feasibility is critical when evaluating scales for the prehospital setting. Implementation should not place an undue burden on paramedics in the uncontrolled prehospital environment and amidst the various demands of the on-scene evaluation and transport of a patient who is in critical condition," according to Zachrison and Khatri.

Kruyt's team cautioned that paramedics did not fill out the observation sheet in 26.7% of acute stroke codes, which were excluded from the study. Furthermore, the study was limited in that it did not test all available prediction scales.

In any case, future advances in prehospital stroke triage might depend more on technology, according to the editorialists.

"Perhaps noninvasive sensors will turn out to be more efficient at identification of large strokes than these simple prehospital screening tools. Or perhaps we should consider more mathematically complex decision models easily made widely accessible by smartphone applications; such models may deal with uncertainty, consider probabilities, weigh various transport options, and even incorporate live traffic patterns to drive decision-making using artificial intelligence," Zachrison and Khatri wrote.

Concerns Surrounding Stroke Treatment in the Era of COVID-19

 The real problem which you are totally oblivious to is that there are NO STROKE REHAB PROTOCOLS LEADING TO 100% RECOVERY.  COVID-19 just demonstrated that but you are blind to what is staring you in the face.

Concerns Surrounding Stroke Treatment in the Era of COVID-19

Stroke is an acquired brain injury and is a leading cause of long-term disability in the United States. Almost 800,000 people in America will experience a new onset or recurrent stroke each year. Worldwide, stroke is the second leading cause of death and disability.

Stroke is often thought of as a disease that occurs in older people. While this is often the case, the incidence of ischemic stroke in people aged 20-54 has increased.

Slightly over one-third of people who experience a stroke are functionally dependent or die by three months post-discharge. Recovery after stroke(Only 10% fully recover, An appalling statistic. Whom is being fired for that disaster?)  can require the care of a team of individuals, including physicians, nurses, physical and occupational therapists, speech-language pathologists, recreational therapists, psychologists, nutritionists, social workers, and others.

Stroke rehabilitation in the era of COVID-19

As we consider the impact of the recent COVID-19 pandemic, a number of concerns arise regarding the rehabilitation dosing afforded to individuals who sustain a stroke.

Hospitals have, necessarily, reduced lengths of stay for non-COVID-19 diagnoses as they attempt to free up bed space for COVID-19 cases. As a consequence, rehabilitation therapies have become shortened or non-existent. Further, outpatient rehabilitation services have been suspended in many locations, leaving one to wonder how people who suffer from stroke will receive crucial treatment.

Factors impacting stroke recovery

We know that many factors impact a person’s functional outcome after a stroke. These include age, where a younger age is associated with a better outcome, and the timing of therapy, which is essential because therapy that is provided too early can be detrimental, and therapy that is delayed can negatively affect the outcome. The exact window of opportunity is not clear and most likely varies with several patient-specific factors.

We also know that the degree of the expertise of rehabilitation treatment impacts outcome; with more expertise comes better outcomes. And we know that both the frequency and intensity of therapy affect the degree of recovery of function a person will achieve and reduce the likelihood of hospital readmission. Simply put, more therapy is associated with better outcomes. Furthermore, higher intensity therapy is associated with more recovery.

Several factors seem to merge around interfering with a person’s ability to recover to their fullest potential. One factor is bundling payments, wherein a hospital is incentivized to discharge a person quickly and to attempt to reduce re-hospitalization. It has been demonstrated that bundled payment arrangements result in less use of tertiary care settings, such as rehabilitation. As well, payers have become accustomed to very short inpatient rehabilitation stays, followed by simple outpatient rehabilitation services.

It is clear that more attention must be paid to scientific evidence that strongly links better outcomes with more frequent therapy, therapy of higher intensity, therapy that is properly timed and of sufficient duration, and therapy that is provided by properly trained specialists in neurorehabilitation.

Finally, great care in payment structuring should be taken to avoid skimping on care for this vulnerable population.

 
 

Applying the Knowledge-to-Action Framework to Implement Gait and Balance Assessments in Inpatient Stroke Rehabilitation

 This to me indicates that the top down approach is completely wrong, you give the survivors the protocols that are out there with efficacy ratings and the survivors give them to the therapists and doctors to implement.  Survivors would ensure that they get the protocols they need and if they don't exist the doctors and therapists are in charge of getting them created.  The current situation of non-existent stroke protocols is the result of nobody taking charge. Survivors would take charge since their recovery hangs in the balance. 

Survivors don't give a fuck about assessments, they want the real thing; PROTOCOLS THAT DELIVER RECOVERY.

Applying the Knowledge-to-Action Framework to Implement Gait and Balance Assessments in Inpatient Stroke Rehabilitation

Published:November 26, 2020DOI:https://doi.org/10.1016/j.apmr.2020.10.133

This paper is only available as a PDF. To read, Please Download here.

Abstract

Objective

The overall objectives of this project were to implement and sustain use of a gait assessment battery (GAB) that included the Berg Balance Scale, 10 Meter Walk Test, and 6 Minute Walk Test during inpatient stroke rehabilitation. The study objective was to assess the impact of the study intervention on clinician adherence to the recommendations and its impact on clinician perceptions and the organization.

Design

Pre and post-training intervention study.

Setting

Subacute inpatient rehabilitation facility.

Participants

Six Physical therapists and two physical therapist assistants.

Intervention.

The intervention comprised a bundle of activities including co-developing and executing the plan with clinicians and leaders. The multi-component implementation plan was based on the Knowledge-to-Action Framework, and included implementation facilitation, implementation leadership, and a bundle of knowledge translation interventions that targeted barriers. Implementation was an iterative process in which results from one implementation phase informed planning of the next phase.

Main Outcome Measures.

Clinician administration adherence, surveys of perceptions, and organizational outcomes.

Results

Initial adherence to the GAB was 46% and increased to >85% after 6 months. These adherence levels remained consistent 48 months after implementation. Clinician perceptions of measure use were initially high (>63%), with significant improvements in knowledge and use of one measure after implementation.

Conclusions

We successfully implemented the assessment battery with high levels of adherence to recommendations, likely as a consequence of using the bundle of knowledge translation activities, facilitation, and use of a framework to co-develop the plan. These changes in practice were sustainable, as determined by a 4-year follow-up.
 

Underlying limb-independent motor memories can help in stroke rehabilitation: Study

No clue. Maybe this will help:

Motor memory: The long and short of it

October 2011, 9 years for your doctors and therapists to come up with protocols on this. Do you really think your doctors and therapists will come up with the optimal solution?

Underlying limb-independent motor memories can help in stroke rehabilitation: Study

New Delhi, Nov 30 (PTI) Researchers at Indian Institute of Technology (IIT)- Gandhinagar have discovered that underlying limb-independent motor memories can help in stroke rehabilitation.

Probing how limb-independent memories are acquired, a team of researchers investigated both the algorithm used and the neural machinery causally associated with this process.

A study led by Prateek Mutha, an associate professor at IIT-Gandhinagar, has also been published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS) journal.

"Skilled actions, from a ballerina''s pirouette to playing a ghamak on the sitar, are based on the ability to learn new movement patterns and to adapt them to new environments. This ability to learn, store, execute and continuously refine actions is broadly defined as motor learning, and is driven by multiple neural mechanisms. Just as learning the list of prime ministers of India results in the formation of a memory that can be later recalled, motor learning also results in the formation of a ''motor memory'' that subsequently enables superior movement performance," Mutha told PTI.

"Interestingly, motor learning comprises representations that are both limb-specific and limb-independent. Using a combination of behavioural experiments and computational modelling of healthy human participants learning of arm movements in a novel environment, we first found that effector-independent memories are forged through implicit learning, or learning without conscious realisation of how a skill is being learned. This mechanism contrasts, for instance, with learning using verbalisable or explicit processes such as those employed when learning a list of words," he added.

The four-member team then delivered high-definition cathodal transcranial direct current stimulation over a region of the brain called the posterior parietal cortex (PPC) in order to inhibit the underlying neural activity.

"We found that perturbing left but not right hemisphere PPC prior to learning blocked the implicit process and prevented the acquisition of the limb-independent memory. If the left PPC was perturbed after learning had been allowed to occur, the acquired memory was disrupted, and learning failed to generalise across effectors. This work thus established the PPC as an essential neural substrate for learning and storing effector-independent memories," he said.

According to Mutha, the work could potentially help physical therapists better strategise training of an unaffected limb when the affected limb cannot be engaged effectively during rehabilitation of stroke patients with significant weakness on one side of the body or the patients with other unilateral brain injuries.

"First, the fact that deficits in forming effector-independent memories are seen following left but not right hemisphere disruption, suggests that rehabilitation following left versus right hemisphere damage needs to be different. Second, if patients with left hemisphere damage, particularly in the PPC, fail to learn using implicit mechanisms, explicit strategies to accomplish the task goal may need to be provided to them in order to bring about improvements in their actions.

"Finally, the fact that learning can generalise from one effector to another, suggests that the ''unaffected'' limb could be trained during rehabilitation to bring about performance gains on the affected side," he said.

The other members of the team included research scholars Adarsh Kumar, Gaurav Panthi and Rechu Divakar. PTI GJS SNE

 

Emergency Medicine Physician Attitudes toward Anticoagulant Initiation for Patients with Atrial Fibrillation

You'll just have to hope your ER doctors ask you whether you are willing to take the risks.

Emergency Medicine Physician Attitudes toward Anticoagulant Initiation for Patients with Atrial Fibrillation

Published:November 24, 2020DOI:https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105474

Abstract

Background and Aim

Guidelines for the primary prevention of stroke recognize the emergency department as a location for physicians to identify atrial fibrillation and to initiate oral anticoagulants. Numerous studies have shown low anticoagulant prescription rates—approximately 18%—in OAC-naïve patients with atrial fibrillation discharged from the emergency department. We sought to obtain the opinions of Emergency Medicine physicians regarding anticoagulant decision-making for patients with atrial fibrillation seen in the emergency department.

Methods

14-item paper surveys were distributed to emergency department physicians within a single hospital system. The survey consisted of single-, multi- answer and open-ended questions regarding knowledge and usage frequency of the CHA 2DS 2-VASc score, knowledge of anticoagulant options and reasons for why an anticoagulant was not initiated.

Results

55 emergency department physicians completed the survey (overall response rate 59%). 89% (49/55) agreed the emergency department is an important location to initiate anticoagulation depending on comorbidities. A lower proportion reported ever starting a patient in the emergency department on a new anticoagulant prescription upon discharge (55% (30/55) p <.0001). The belief that a new anticoagulant prescription is the responsibility of the PCP/ Cardiologist/ Neurologist (52%; 15/29), not wanting to be held responsible in the event of a life-threatening bleeding event (41%; 12/29), and concerns about inadequate follow-up and/or lack of insurance (24%; 7/29) were the most commonly cited reasons for not starting an appropriate patient with atrial fibrillation on an anticoagulant.

Conclusion

Emergency Medicine physicians support initiating oral anticoagulants in the ED for patients with atrial fibrillation; however, discrepancies exist between their intentions and actual practice.

Key Words

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