Transforming Neurology Care Delivery Through a Population Health Data Strategy

Background

With more than 30% of global data originating from health care, deriving usable insights that improve health requires population health analytics. In neurology, data-driven approaches have grown in significance because of digital health records and advanced analytics. A vital aspect of this evolution is adopting a population health data strategy (PHDS).

Recent Findings

Crafting a tailored PHDS for neurology involves cataloging data points and measures spanning demographics, clinical history, genetics, and social determinants. Neurologic outcomes include mortality rates, functional and cognitive abilities, and imaging results. A robust strategy relies on interoperability, advanced analytics, and transparent AI algorithms.

Summary

Neurology is embracing data-driven health care. The PHDS synthesizes diverse patient data to provide personalized care. It includes a wide range of outcome measures to address neurologic complexities. Advanced analytics and collaboration among neurologists, data scientists, and business leaders uncover hidden patterns and promote outcome-driven medicine in the 21st century.

Predicting the functional outcome of intensive inpatient rehabilitation after stroke: results from the RIPS Study

BACKGROUND

The complexity of stroke sequelae, the heterogeneity of outcome measures and rehabilitation pathways, and the lack of extensively validated prediction models represent a challenge in predicting stroke rehabilitation outcomes.

AIM

To prospectively investigate a multidimensional set of variables collected at admission to inpatient post-stroke rehabilitation as potential predictors of the functional level at discharge.

DESIGN

Multicentric prospective observational study.

SETTING

Patients were enrolled in four Intensive Rehabilitation Units (IRUs).

POPULATION

Patients were consecutively recruited in the period December 2019-December 2020 with the following inclusion criteria: aged 18+, with ischemic/haemorrhagic stroke, and undergoing inpatient rehabilitation within 30 days from stroke.

METHODS

This is a multicentric prospective observational study. The rehabilitation pathway was reproducible and evidence-based. The functional outcome was disability in activities of daily living, measured by the modified Barthel Index (mBI) at discharge. Potential multidimensional predictors, assessed at admission, included demographics, event description, clinical assessment, functional and cognitive profile, and psycho-social domains. The variables statistically associated with the outcome in the univariate analysis were fed into a multivariable model using multiple linear regression.

RESULTS

A total of 220 patients were included (median [IQR] age: 80 [15], 112 women, 175 ischemic). Median mBI was 26 (43) at admission and 62.5 (52) at discharge. In the multivariable analysis younger age, along with better functioning, fewer comorbidities, higher cognitive abilities, reduced stroke severity, and higher motor functions at admission, remained independently associated with higher discharge mBI. The final model allowed a reliable prediction of discharge functional outcome (adjusted R2=77.2%).

CONCLUSIONS

The model presented in this study, based on easily collectable, reliable admission variables, could help clinicians and researchers to predict the discharge scores of the global functional outcome for persons enrolled in an evidence-based inpatient stroke rehabilitation program.

CLINICAL REHABILITATION IMPACT

A reliable outcome prediction derived from standardized assessment measures and validated treatment protocols could guide clinicians in the management of patients in the subacute phase of stroke and help improve the planning of the rehabilitation individualized project.

Processing Speed and Attentional Shift/Mental Flexibility in Patients with Stroke: A Comprehensive Review on the Trail Making Test in Stroke Studies

The Trail Making Test (TMT) is one of the most commonly administered tests in clinical and research neuropsychological settings. The two parts of the test (part A (TMT-A) and part B (TMT-B)) enable the evaluation of visuoperceptual tracking and processing speed (TMT-A), as well as divided attention, set-shifting and cognitive flexibility (TMT-B). The main cognitive processes that are assessed using TMT, i.e., processing speed, divided attention, and cognitive flexibility, are often affected in patients with stroke. Considering the wide use of TMT in research and clinical settings since its introduction in neuropsychological practice, the purpose of our review was to provide a comprehensive overview of the use of TMT in stroke patients. We present the most representative studies assessing processing speed and attentional shift/mental flexibility in stroke settings using TMT and applying scoring methods relying on conventional TMT scores (e.g., time-to-complete part A and part B), as well as derived measures (e.g., TMT-(B-A) difference score, TMT-(B/A) ratio score, errors in part A and part B). We summarize the cognitive processes commonly associated with TMT performance in stroke patients (e.g., executive functions), lesion characteristics and neuroanatomical underpinning of TMT performance post-stroke, the association between TMT performance and patients' instrumental activities of daily living, motor difficulties, speech difficulties, and mood statue, as well as their driving ability. We also highlight how TMT can serve as an objective marker of post-stroke cognitive recovery following the implementation of interventions. Our comprehensive review underscores that the TMT stands as an invaluable asset in the stroke assessment toolkit, contributing nuanced insights into diverse cognitive, functional, and emotional dimensions. As research progresses, continued exploration of the TMT potential across these domains is encouraged, fostering a deeper comprehension of post-stroke dynamics and enhancing patient-centered care across hospitals, rehabilitation centers, research institutions, and community health settings. Its integration into both research and clinical practice reaffirms TMT status as an indispensable instrument in stroke-related evaluations, enabling holistic insights that extend beyond traditional neurological assessments.

Mapping the trajectory of acute mild-stroke cognitive recovery using serial computerised cognitive assessment

INTRODUCTION

Cognitive impairment is common post-stroke. There is a need to understand patterns of early cognitive recovery post-stroke to guide both clinical and research practice. The aim of the study was to map the trajectory of cognitive recovery during the first week to 90-days post-stroke using serial computerised assessment.

METHOD

An observational cohort study recruited consecutive stroke patients admitted to a stroke unit within 48 hours of onset. Cognitive function was assessed using the computerised Cambridge Neuropsychological Test Automated Battery (CANTAB) daily for seven days, then 14, 30 and 90 days post-stroke. The CANTAB measured visual episodic memory and learning, information processing speed, visuo-spatial working memory, complex sustained attention and mental flexibility. Repeated measures MANOVA/ANOVA with Least Squares Difference post-hoc analyses were performed to ascertain significant change over time.

RESULT

Forty-eight participants, mean age 73, primarily mild, ischaemic stroke, completed all assessment timepoints. There was a trajectory of early, global cognitive improvement, indicative of a post-stroke delirium, that largely stabilised between 6 and 14-days post-stroke. Change over time was examined within each cognitive test, with one measure stabilising by day 6 (Reaction Time) and others detecting improving performances up to 14 days post-stroke.

CONCLUSIONS

Serial, computerised cognitive assessment can effectively map post-stroke cognitive recovery and revealed an early phase of global improvement over 14 days that is evidence for an acute post-stroke delirium. Resolution of post-stroke delirium in the second week following mild stroke indicates more extensive neuropsychological testing may be undertaken earlier than previously thought.

Identifying emotional contributors to participation post-stroke

BACKGROUND

Participation in daily activities is the ultimate goal of stroke rehabilitation. Emotional factors have been considered as contributors to participation, but associations between emotional factors and participation post-stroke have not been fully explored.

OBJECTIVE

To investigate the extent to which emotional factors contribute to participation post-stroke.

METHODS

73 participants were included. Three participation outcomes were used as dependent variables in three models: (1) Stroke Impact Scale (SIS) Participation/Role Function, (2) Activity Card Sort (ACS), and (3) Reintegration to Normal Living (RNL). Main independent variables were six emotional factors: SIS Emotion Function (General emotion), Visual Analog Mood Scale energetic and happy subscales, Patient Health Questionnaire-9 (Depression), State-Trait Anxiety Inventory-Trait Anxiety Scale, and Apathy Evaluation Scale. Covariates of stroke severity and social support were included.

RESULTS

Model 1 showed stroke severity (β = -0.300) and depression (β = -0.268) were significant contributors to SIS Participation/Role Function (R² = 0.368, p < .05). Model 2 indicated that happiness (β = 0.284) and apathy (β = -0.330) significantly contributed to ACS total activity retention (R² = 0.247, p < .05). Model 3 revealed that anxiety (β = -0.348), apathy (β = -0.303), stroke severity (β = -0.184), and social support (β = 0.185) were significant contributors to RNL total score (R² = 0.583, p < .05).

CONCLUSIONS

Results suggested that emotional measures of apathy, depression, anxiety, and happiness, but not general emotion, were important contributors to participation post-stroke. These findings suggest that rehabilitation professionals should address individual emotional contributors to facilitate participation post-stroke.

Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study

BACKGROUND

Machine Learning is increasingly used to predict rehabilitation outcomes in stroke in the context of precision rehabilitation and patient-centered care. However, predictors for patient-centered outcome measures for activities and participation in stroke rehabilitation requires further investigation.

METHODS

This study retrospectively analyzed data collected for our previous studies from 124 participants. Machine Learning models were built to predict postintervention improvement of patient-reported outcome measures of daily activities (i.e, the Motor Activity Log and the Nottingham Extended Activities of Daily Living) and participation (i.e, the Activities of Daily Living domain of the Stroke Impact Scale). Three groups of 18 potential predictors were included: patient demographics, stroke characteristics, and baseline assessment scores that encompass all three domains under the framework of International Classification of Functioning, Disability and Health. For each target variable, classification models were built with four algorithms, logistic regression, k-nearest neighbors, support vector machine, and random forest, and with all 18 potential predictors and the most important predictors identified by feature selection.

RESULTS

Predictors for the four target variables partially overlapped. For all target variables, their own baseline scores were among the most important predictors. Upper-limb motor function and selected demographic and stroke characteristics were also among the important predictors across the target variables. For the four target variables, prediction accuracies of the best-performing models with 18 features ranged between 0.72 and 0.96. Those of the best-performing models with fewer features ranged between 0.72 and 0.84.

CONCLUSIONS

Our findings support the feasibility of using Machine Learning for the prediction of stroke rehabilitation outcomes. The study was the first to use Machine Learning to identify important predictors for postintervention improvement on four patient-reported outcome measures of activities and participation in chronic stroke. The study contributes to precision rehabilitation and patient-centered care, and the findings may provide insights into the identification of patients that are likely to benefit from stroke rehabilitation.

Subjective and objective assessments are associated for physical function but not cognitive function in community-dwelling stroke survivors

PURPOSE

To investigate the relation between subjectively and objectively assessed cognitive and physical functioning among community-dwelling stroke survivors, and to examine the association of stroke severity with subjectively and objectively assessed cognitive and physical impairments.

MATERIALS AND METHODS

Secondary data analysis was conducted with 127 community-dwelling stroke survivors. For cognitive functioning, objective measures included the NIH Toolbox Cognition Battery and the Executive Function Performance Test; subjective measures included the Quality of Life in Neurological Disorders Applied Cognition. Objective and subjective physical functioning was measured by the NIH Toolbox 2-Minute Walk Test and the Patient-Reported Outcomes Measurement Information System Physical Function, respectively.

RESULTS

A positive correlation was observed between subjective and objective physical functioning, whereas the correlation between subjective and objective cognitive functioning was nonsignificant. Stroke severity was associated with objective cognitive impairment and objective and subjective physical impairment, but not subjective cognitive impairment.

CONCLUSIONS

The lack of association between objective and subjective cognitive functioning challenges the conventional assumption that perceived functioning reflects actual performance. We recommend using both objective and subjective measures to accurately identify cognitive and physical impairment following stroke.Implications for RehabilitationSubjective cognitive functioning is not associated with objective cognitive functioning, suggesting that solely relying on stroke patients' reports is inadequate and may inaccurately estimate patients' actual deficits.Both objective and subjective measures should be used to accurately identify cognitive and physical impairment following stroke.Practitioners should be cognizant of stroke patients' behavioral signs associated with underlying cognitive problems that warrant further evaluation.

Body structure/function impairments and activity limitations of post-stroke that predict social participation: a systematic review

BACKGROUND

Stroke is the leading cause of death and disability in Brazil, and its prognostic indicators of social reintegration are not well established yet.

OBJECTIVE

To identify body structure/function impairments and activity limitations in post-stroke that predict social participation restrictions in the community.

METHODS

cohort studies were selected, involving adult post-stroke participants, which investigated body structure and function impairments or activity limitations of post-stroke individuals as predictors of social participation in the community. Studies that included individuals with subarachnoid hemorrhage, other neurological disorders and participants in long-term care facilities were excluded. The Newcastle-Ottawa quality assessment scale was applied to assess the methodological quality. The results were synthesized according to the found exposures, considering the used statistical models.

RESULTS

Eleven articles were included, with a total of 2,412 individuals, 58.4% men, 83.7% ischemic stroke. Seven exposures were assessed across studies, in which 10 studies assessed body structure and function exposures (stroke severity, cognitive, executive, emotional and motor function), and 8 studies assessed activity exposures (daily living activity and walking ability).

CONCLUSION

There is some evidence that stroke severity, mental and motor deficits, limitations in activities of daily living and the ability to walk after a stroke can predict social participation in the community. PROSPERO registration CRD42020177591.

Physical performance and cognition as predictors of instrumental activities of daily living after stroke: a prospective multicenter cohort study

OBJECTIVE

To investigate if cognition and physical performance, both separately and combined, 3 months post-stroke predict change in instrumental activities of daily living (IADL) up to 18 months, and if different paths of IADL could be identified by different scenarios, defined by combinations of high and low scores on physical performance and cognition.

DESIGN

The study is part of the Norwegian Cognitive Impairment after Stroke (Nor-COAST) study, a prospective multicenter cohort study including acute stroke patients.

SETTING

Stroke outpatient clinics at 3 university hospitals and 2 local hospitals.

PARTICIPANTS

Adult stroke survivors (n=544) were followed up at 3 and 18 months after stroke. Participants' mean (SD) age was 72.6 (11.8) years, 235 (43.2 %) were females.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The primary outcome was IADL as measured by Nottingham Extended Activities of Daily Living. At 3 months, Short Physical Performance Battery (SPPB) and Montreal Cognitive Assessment (MoCA) were used to assess physical performance and cognition, respectively.

RESULTS

Mixed-effects linear regression analyses showed that the regression coefficient (95% confidence interval (CI)) for the interaction with time was significant for MoCA, 0.238 (CI, 0.030-0.445; p=0.025), but not for SPPB. The model combining SPPB and MoCA was significantly better than separate models (Likelihood ratio p<0.001). Overall, there was no improvement in IADL over time. A combination of SPPB and MoCA score in the upper quartile at 3 months was associated with improved IADL 1.396 (CI, 0.252-2.540; p=0.017) over time.

CONCLUSIONS

Combining measures of cognition and physical performance gave the best prediction of change in IADL. Function at 3 months seems to be predictive for long-term IADL status, which highlights the importance of targeted rehabilitation in the early and subacute phases after stroke.

Neuroprotective effect of dimethyl fumarate on cognitive impairment induced by ischemic stroke

Background

Oxidative damage may contribute to post-stroke cognitive impairment (PSCI), but the underlying mechanisms are not fully elucidated. Dimethyl fumarate (DMF) has been used as an antioxidant in multiple sclerosis and psoriasis patients. We hypothesized that redox state was associated with PSCI, and DMF might exert neuroprotective effect against PSCI via anti-oxidative actions.

Methods

To confirm this hypothesis, we first conducted a clinical study (NCT03519828) that enrolled patients diagnosed with acute ischemic stroke within 48 hours. Data were analyzed based on demographic characteristics, disease history, clinical data and redox state. Logistic regression was used to identify the factors associated with PSCI. Next, a middle cerebral artery occlusion (MCAO) rat model was used to explore the antioxidant capacity and neuroprotective effect of DMF. Furthermore, behavioural experiments, histology and immunostaining, and transmission electron microscopy were also performed.

Results

Higher baseline NIHSS score, lower GSH/GSSG and T-AOC levels were found in the PSCI patients. Better performance in Morris water maze and shuttle box testing, more regular arranged neurons and Nissl bodies, less TUNEL-positive cells and autophagosomes, lower expression of 4-HNE, and higher expression of GCLM and NQO1 were found in the (DMF + MCAO) rats compared with the MCAO rats.

Conclusions

These findings suggest that DMF may alleviate PSCI via neuroprotective actions, providing a new therapeutic strategy for PSCI.

Contextual determinants of participation after stroke: a systematic review of quantitative and qualitative studies

PURPOSE

From a patient's perspective, participation is a major determinant of quality of life. We aimed to review contextual factors, both personal and environmental, potentially associated with post-stroke participation.

METHODS

PubMed, PsycINFO, and Web of Science were searched for original quantitative and qualitative studies that investigated contextual factors of post-stroke participation, measured participation as the primary outcome, and met inclusion criteria.

RESULTS

Socio-demographic determinants were mostly unrelated with participation or showed discordant and inconclusive results. Although less investigated, psychosocial/psychological factors, particularly self-esteem and acceptance, were associated with participation in most studies. Motivation was found in qualitative studies, but discordant in quantitative ones. Environmental factors were even less investigated and mainly in qualitative studies among patients with communication disabilities. Among these, social support and attitude of others appeared to be major determinants of participation as well as physical environment and societal environment (services and polices).

CONCLUSIONS

Personal factors, particularly psychological and psychosocial factors, were identified as positively associated with post-stroke participation. Environmental factors such as support, relationships, and positive attitudes towards patients were major facilitators of participation as well as physical environment and accessibility to appropriate services. Most of these factors are modifiable and should be addressed to improve patient participation.Implications for RehabilitationPsychosocial factors (motivational aspects, acceptance of a new condition, self-esteem) and environmental factors (social support, attitudes towards the patient, physical environment, access to health, social services and policies) were identified as determinants of post-stroke participation.A structured evaluation of determinants of participation may be used in clinical practice to propose appropriate support and then improve patients' recoveryPrograms to improve patients' psychosocial skills such as self-esteem, acceptance, motivation should be tested and implemented, and policies to develop appropriate services accessibility should be encouraged.

Social Support as a Predictor of Community Participation After Stroke

Participation is a primary goal of neurorehabilitation; however, most individuals post stroke experience significant restrictions in participation as they attempt to resume their everyday roles and routines. Despite this emphasis on participation, there is a paucity of evidence-based interventions for optimizing this outcome and a limited understanding of factors that contribute to poor participation outcomes. Caregiver support at discharge from inpatient rehabilitation positively influences physical and psychological outcomes after stroke but more research is needed to understand the association between social support and participation. This study aimed to examine the independent contribution of perceived social support to participation 3 months post discharge from inpatient stroke rehabilitation. This study was a secondary analysis of the Stroke Recovery in Underserved Populations 2005–2006 data. Participants were adults ≥55 years old, living in the community 3 months post discharge from inpatient rehabilitation for ischemic stroke (n = 422). Hierarchical linear regressions were performed. The primary variables of interest were the PAR-PRO Measure of Home and Community Participation and the Duke–University of North Carolina Functional Social Support Questionnaire. Perceived social support at discharge from inpatient rehabilitation for ischemic stroke contributed uniquely to the variance in participation 3 months later (β = 0.396, P < 0.001) after controlling for race, sex, age, years of education, comorbidities, stroke symptoms, depression, FIM Motor, and FIM Cognitive. Social support accounted for 12.2% of the variance in participation and was the strongest predictor of participation relative to the other independently significant predictors in the model including FIM Motor and depression. There is already a focus on caregiver training during inpatient rehabilitation related to basic self-care, transfers, and medical management. These findings suggest the need for rehabilitation professionals to also address social support during discharge planning in the context of promoting participation. Given the findings, expanding caregiver training is necessary but novel interventions and programs must be carefully developed to avoid increasing caregiver burden.

The incremental value of neuropsychological assessment: A critical review

Objective: The purpose of this critical review was to evaluate the current state of research regarding the incremental value of neuropsychological assessment in clinical practice, above and beyond what can be accounted for on the basis of demographic, medical, and other diagnostic variables. The focus was on neurological and other medical conditions across the lifespan where there is known risk for presence or future development of cognitive impairment.Method: Eligible investigations were group studies that had been published after 01/01/2000 in English in peer-reviewed journals and that had used standardized neuropsychological measures and reported on objective outcome criterion variables. They were identified through PubMed and PsychInfo electronic databases on the basis of predefined specific selection criteria. Reference lists of identified articles were also reviewed to identify potential additional sources. The Grades of Recommendation, Assessment, Development and Evaluation Working Group's (GRADE) criteria were used to evaluate quality of studies.Results: Fifty-six studies met the final selection criteria, including 2 randomized-controlled trials, 9 prospective cohort studies, 12 retrospective cohort studies, 21 inception cohort studies, 2 case control studies, and 10 case series studies. The preponderance of the evidence was strongly supportive with regard to the incremental value of neuropsychological assessment in the care of persons with mild cognitive impairment/dementia and traumatic brain injury. Evidence was moderately supportive with regard to stroke, epilepsy, multiple sclerosis, and attention-deficit/hyperactivity disorder. Participation in neuropsychological evaluations was also associated with cost savings.Conclusions: Neuropsychological assessment can improve both diagnostic classification and prediction of long-term daily-life outcomes in patients across the lifespan. Future high-quality prospective cohort studies and randomized-controlled trials are necessary to demonstrate more definitively the incremental value of neuropsychological assessment in the management of patients with various neurological and other medical conditions.