Prognostic factors for discharge destination after acute stroke: a comprehensive literature review

Efficacy observation, complications and nursing of enteral nutrition suspension in patients with acute ischemic stroke

OBJECTIVE

This study focuses on exploring the efficacy observation, complications and nursing aspects of using enteral nutrition suspension in patients with acute ischemic stroke.

METHODS

This study retrospectively analyzed clinical data from 188 patients with acute ischemic stroke treated in the Neurology Department of our hospital from October 2022 to September 2023. Patients who received intermittent enteral nutrition and nursing interventions were included in the control group (n=96), while patients who received continuous enteral nutrition and nursing interventions were included in the treatment group (n=92). Relevant indicators data changes before and after treatment were recorded for each patient, along with the occurrence of complications in both groups, and statistical analysis was conducted.

RESULTS

The treatment group had fewer days in the ICU and total hospitalization days compared to the control group, with p < .05. Patients in the treatment group had higher levels of serum albumin and serum prealbumin than those in the control group, with p < .05. The occurrence of abdominal pain, diarrhea, constipation, bloating and acid reflux in the treatment group was lower than in the control group, with p < .05. There was no significant difference in the occurrence of adverse outcomes at discharge, death at discharge, cerebral hemorrhage, lung infection and gastrointestinal bleeding between the two groups (p > .05).

CONCLUSION

The application of enteral nutrition suspension in patients with acute ischemic stroke effectively provides the necessary nutrients, maintains nutritional balance, promotes tissue repair and recovery and reduces the length of hospital stay.

Development and Validation of a Decision Tree Analysis Model for Predicting Home Discharge in a Convalescent Ward: A Single Institution Study

OBJECTIVES

Accurately predicting the likelihood of inpatients' home discharge in a convalescent ward is crucial for assisting patients and families in decision-making. While logistic regression analysis has been commonly used, its complexity limits practicality in clinical settings. We focused on decision tree analysis, which is visually straightforward. This study aimed to develop and validate the accuracy of a prediction model for home discharge for inpatients in a convalescent ward using a decision tree analysis.

METHODS

The cohort consisted of 651 patients admitted to our convalescent ward from 2018 to 2020. We collected data from medical records, including disease classification, sex, age, duration of acute hospitalization, discharge destination (home or nonhome), and Functional Independence Measure (FIM) subitems at admission. We divided the cohort data into training and validation sets and developed a prediction model using decision tree analysis with discharge destination as the target and other variables as predictors. The model's accuracy was validated using the validation data set.

RESULTS

The decision tree model identified FIM grooming as the first single discriminator of home discharge, diverging at four points and identifying subsequent branching for the duration of acute hospitalization. The model's accuracy was 86.7%, with a sensitivity of 0.96, specificity of 0.52, positive predictive accuracy of 0.88, and negative predictive accuracy of 0.80. The area under the receiver operating characteristic curve was 0.75.

CONCLUSION

The predictive model demonstrated more than moderate predictive accuracy, suggesting its utility in clinical practice. Grooming emerged as a variable with the highest explanatory power for determining home discharge.

Impact of functional independence and sociodemographic factors on post-stroke discharge destination in a super-aged rural community in Japan

Objective: This study aimed to clarify the factors influencing the discharge destination of stroke patients in a super-aged rural community in Japan, focusing on functional independence and sociodemographic factors. Patients and Methods: We enrolled patients recovering from stroke with supratentorial lesions who were admitted to our convalescent rehabilitation hospital. The motor components of the Functional Independence Measure (FIM-motor) were assessed for each patient at admission and discharge as explanatory variables. An increase in the FIM-motor scores during hospitalization was also recorded. Additionally, sociodemographic data such as sex, age, and clinical characteristics, such as type of stroke, history of stroke, days from stroke onset to transfer to our convalescent rehabilitation hospital, total duration of hospital stay including acute care, number of co-resident household members, living with a spouse, and number of children were collected. As target values, discharge outcomes were categorized into two groups: returning home and going to a nursing home. Logistic regression analysis was performed. Results: The study sample comprised 160 patients (mean age ± standard deviation, 74.80 ± 12.19 years). Of these, 114 were discharged to their homes, and 46 were transferred to nursing homes. The results of multivariate logistic regression analysis indicated that higher FIM-motor scores at discharge, greater number of co-resident household members, and living with one's spouse were the most powerful predictors of a higher probability of returning home. Conclusion: This study demonstrated that functional independence levels and the number of co-resident household members were crucial factors in predicting the discharge destination of patients after stroke in a super-aged rural community in Japan. These findings imply that for older patients with lower functional independence, supportive social networks are essential for home discharge, offering clues for providing long-term healthcare in super-aged rural communities worldwide.

Physical functioning factors predicting a return home after stroke rehabilitation: A systematic review and meta-analysis

OBJECTIVES

This systematic review and meta-analysis sought to identify the physical functioning factors associated with home discharge after inpatient stroke rehabilitation.

DATA SOURCES

A search of PubMed, Embase, CINHAL, The Cochrane Library (Trials), Web of Science, and PEDro were conducted up until May 2023.

METHODS

Two independent reviewers selected studies for population (patients with stroke), predictive factors (physical functioning), outcome (discharge destination), setting (inpatient rehabilitation), and study designs (observational and experimental studies). Predictive factors were identified among assessments of the "body function" and "activity" components of the International Classification of Functioning. Methodological quality was assessed with the Newcastle-Ottawa Scale. The findings used quantitative and narrative syntheses. Meta-analyses were performed with the inverse variance method and the random-effects model using included studies with sufficient data.

RESULTS

Forty-five studies were included with 204,787 participants. Included studies assessed the association of independence in activities of daily living, walking, rolling, transferring, and balance on admission with a probability of returning home. Motor (odds ratio = 1.23, 95% confidence interval: 1.12-1.35, p < .001) and total (odds ratio = 1.34, 95% confidence interval: 1.14-1.57, p < .001) Functional Independence Measure scores on admission were significantly associated with home discharge in meta-analyses. Additionally, included studies showed that independence in motor activities, such as sitting, transferring, and walking, and scores above thresholds for the Functional Independence Measure and Berg Balance Scale on admission were associated with discharge destination.

CONCLUSION

This review showed that higher independence in activities of daily living on admission is associated with home discharge after inpatient stroke rehabilitation.

Clinical characteristics, hospital course, and disposition of patients with nontraumatic spinal cord injury in a large private health care system in the United States

OBJECTIVES

To evaluate the clinical characteristics, hospital courses, outcomes after hospitalization, and factors associated with outcomes in patients with nontraumatic spinal cord injuries (NTSCI).

DESIGN

Retrospective analysis.

SETTING

A large for-profit United States health care system.

PARTICIPANTS

2807 inpatients with NTSCI between 2014 and 2020 were identified using International Classification of Disease codes.

MAIN OUTCOME MEASURE

Demographic, clinical characteristics, hospital course, and disposition data collected from electronic health record.

RESULTS

The mean age was 57.91 ± 16.41 years with 69.83% being male. Incomplete cervical level injury was the most common injury type, spinal stenosis was the most common diagnostic etiology and central cord syndrome was the most common clinical syndrome. The average length of stay was 9.52 ± 15.8 days, with the subgroup of 1308 (46.6%) patients who were discharged home demonstrating a shorter length of stay (6.42 ± 10.24 days). Falls were the most common hospital-acquired complication (n = 424, 15.11%) and 83 patients deceased. There were increased odds of non-home discharge among patients with the following characteristics: older age, Medicare insurance, non-black racial minority, increased Charlson Comorbidity Index (CCI), intensive care unit (ICU) stay, use of steroid or anticoagulant medications, and hospital-acquired pulmonary complications. Increased in-hospital mortality was observed in those with Medicaid insurance, ICU stay, increased CCI, diagnosis of degenerative spine disease, other unspecified level of injury, and hospital-acquired pulmonary complications.

CONCLUSIONS

NTSCI in this sample were predominantly incomplete cervical central SCIs. Increased CCI, ICU stay, and hospital-acquired pulmonary complications were associated with poorer outcomes after acute care hospitalization among patients with NTSCI.

Barriers and facilitators in providing home-based rehabilitation for stroke survivors with severe disability in the UK: an online focus group study with multidisciplinary rehabilitation teams

OBJECTIVES

In the UK, over 20% of stroke survivors leave hospital with severe disability. Limited evidence-based clinical guidance is available to support the rehabilitation of these individuals. Our previous research has focused on establishing consensus regarding the core components of home-based rehabilitation for this under investigated group. This study explores the barriers of providing rehabilitation and identifies strategies to overcome them.

DESIGN

Three focus group interviews were conducted with n=20. The context coding framework was employed to organise the transcribed data and to facilitate inductive and deductive analysis and synthesis.

SETTING

Online, MSTeams, UK.

PARTICIPANTS

A purposive sample of 20 National Health Service clinical staff participants, from 3 multidisciplinary teams providing home-based stroke rehabilitation for this population (n=7, 6 and 7).

RESULTS

High levels of need were reported across multiple domains for survivors including continence, communication and physical function. Interventions often required multiagency collaboration in order to optimise the available resources and specialist skills. There was lack of clarity regarding who was ultimately responsible for providing components of rehabilitation for stroke survivors with severe disability. Teams provide rehabilitation for this population but are insufficiently commissioned or resourced to fully meet their needs. In-complete and disjointed pathways with resultant healthcare inequalities were commonly reported. Teams used a variety of strategies to overcome these barriers and optimise rehabilitation opportunities. These included upskilling a diverse range of partners to capitalise on the skills and resources across health, social care and voluntary sector boundaries employing multiagency collaboration. Teams established and engaged networks of stakeholders in order to advocate on behalf of stroke survivors.

CONCLUSIONS

Collaboration and partnership working is important in the delivery of rehabilitation for stroke survivors with severe disability. Commissioners need to be aware that cross-agency multidisciplinary expertise is required, if rehabilitation opportunities are to be realised and existing health inequalities addressed.

Age-stroke related dysfunction interaction associated with home discharge of stroke inpatients in the rehabilitation ward

The purpose of this study was to investigate whether interactions exist among cognitive and physical functions and activities of daily living (ADL) associated with home discharge of stroke patients in the rehabilitation ward. The subjects were 231 patients with a first stroke. Age, gender, affected side, the stroke impairment assessment set, ADL and discharge destination were collected from the medical record. Using a decision tree, a combination of variables that might have an interaction effect associated with home discharge was extracted. The existence of an interaction between the extracted variables was confirmed by logistic regression analysis. A combination of total score of the stroke impairment assessment set (≤27 points) and age (>76.5 years) at admission was extracted from the decision tree. As a result of the logistic regression analysis, this interaction term was significantly associated with home discharge. The findings of the present study suggest that there is an interaction between age and stroke-related dysfunction related to home discharge. Stroke patients aged over 76.5 years with the stroke impairment assessment set score of 27 or less at admission to the rehabilitation ward may need rehabilitation program considering the difficulty of home discharge.

Improvement of predictive accuracies of functional outcomes after subacute stroke inpatient rehabilitation by machine learning models

OBJECTIVES

Stepwise linear regression (SLR) is the most common approach to predicting activities of daily living at discharge with the Functional Independence Measure (FIM) in stroke patients, but noisy nonlinear clinical data decrease the predictive accuracies of SLR. Machine learning is gaining attention in the medical field for such nonlinear data. Previous studies reported that machine learning models, regression tree (RT), ensemble learning (EL), artificial neural networks (ANNs), support vector regression (SVR), and Gaussian process regression (GPR), are robust to such data and increase predictive accuracies. This study aimed to compare the predictive accuracies of SLR and these machine learning models for FIM scores in stroke patients.

METHODS

Subacute stroke patients (N = 1,046) who underwent inpatient rehabilitation participated in this study. Only patients' background characteristics and FIM scores at admission were used to build each predictive model of SLR, RT, EL, ANN, SVR, and GPR with 10-fold cross-validation. The coefficient of determination (R2) and root mean square error (RMSE) values were compared between the actual and predicted discharge FIM scores and FIM gain.

RESULTS

Machine learning models (R2 of RT = 0.75, EL = 0.78, ANN = 0.81, SVR = 0.80, GPR = 0.81) outperformed SLR (0.70) to predict discharge FIM motor scores. The predictive accuracies of machine learning methods for FIM total gain (R2 of RT = 0.48, EL = 0.51, ANN = 0.50, SVR = 0.51, GPR = 0.54) were also better than of SLR (0.22).

CONCLUSIONS

This study suggested that the machine learning models outperformed SLR for predicting FIM prognosis. The machine learning models used only patients' background characteristics and FIM scores at admission and more accurately predicted FIM gain than previous studies. ANN, SVR, and GPR outperformed RT and EL. GPR could have the best predictive accuracy for FIM prognosis.

Application of an Artificial Neural Network to Identify the Factors Influencing Neurorehabilitation Outcomes of Patients with Ischemic Stroke Treated with Thrombolysis

The administration of thrombolysis usually reduces the risk of death and the consequences of stroke in the acute phase. However, having received thrombolysis administration is not a prognostic factor for neurorehabilitation outcome in the subacute phase of stroke. It is conceivably due to the complex intertwining of many clinical factors. An artificial neural network (ANN) analysis could be helpful in identifying the prognostic factors of neurorehabilitation outcomes and assigning a weight to each of the factors considered. This study hypothesizes that the prognostic factors could be different between patients who received and those who did not receive thrombolytic treatment, even if thrombolysis is not a prognostic factor per se. In a sample of 862 patients with ischemic stroke, the tested ANN identified some common factors (such as disability at admission, age, unilateral spatial neglect), some factors with higher weight in patients who received thrombolysis (hypertension, epilepsy, aphasia, obesity), and some other factors with higher weight in the other patients (dysphagia, malnutrition, total arterial circulatory infarction). Despite the fact that thrombolysis is not an independent prognostic factor for neurorehabilitation, it seems to modify the relative importance of other clinical factors in predicting which patients will better respond to neurorehabilitation.

Design and implementation of informatization for unified management of stroke rehabilitation in urban multi-level hospitals

Background

With the aging of the population, the prevalence and incidence of stroke in China are increasing every year. China advocates the establishment of a three-level medical service system for stroke rehabilitation, but it lacks uniform information management among all levels of medical institutions.

Objective

To achieve unified management of stroke patient rehabilitation in multilevel hospitals in the region through informatization construction.

Methods

The need for informatization of three-level stroke rehabilitation management was analyzed. Then, network connections were established, and a common rehabilitation information management system (RIMS) was developed for all levels of hospitals to enable daily stroke rehabilitation management, inter-hospitals referral, and remote video consultation. Finally, the impact on the efficiency of daily rehabilitation work, the functioning and satisfaction of stroke patients were investigated after implementing the three-level rehabilitation network.

Results

One year after implementation, 338 two-way referrals and 56 remote consultations were completed using RIMS. The stroke RIMS improved the efficiency of doctors' orders, reduced therapists' time to write medical documents, simplified statistical analysis of data and made referrals and remote consultations more convenient compared to the traditional model. The curative effect of stroke patients managed by RIMS is better than that of traditional management. Patient satisfaction with rehabilitation services in the region has increased.

Conclusion

The three-level stroke rehabilitation informatization has enabled the unified management of stroke rehabilitation in multilevel hospitals in the region. The developed RIMS improved the efficiency of daily work, improved the clinical outcomes of stroke patients, and increased patient satisfaction.

Speed up discharge planning at the acute stroke unit: A development and external validation study for the early prediction of discharge home

Background

To reduce healthcare costs, it has become increasingly important to shorten the length of stay in acute stroke units. The goal of this study was to develop and externally validate a decision tree model applicable < 48 h poststroke for discharge home from an acute stroke unit with a short length of stay, and to assess the inappropriate home discharge rate.

Methods

A prospective study including two samples of stroke patients admitted to an acute stroke unit. The outcome was discharge home (yes/no). A classification and regression tree analysis was performed in Sample 1. The model's performance was tested in Sample 2.

Results

In total, 953 patients were included. The final decision tree included the patients' activities of daily living (ADL) performance <48 h poststroke, including motor function, cognition, and communication, and had an area under the curve (AUC) of 0.84 (95% confidence interval 0.76, 0.91). External validation resulted in an AUC of 0.74 (95% confidence interval 0.72, 0.77). None of the patients discharged home were re-admitted < 2 months after discharge to a hospital or admitted to a rehabilitation center for symptoms that had needed inpatient neurorehabilitation.

Conclusions

The developed decision tree shows acceptable external validity in predicting discharge home in a heterogeneous sample of stroke patients, only based on the patient's actual ADL performance <48 h poststroke. Importantly, discharge was safe, i.e., no re-hospitalization was registered. The tree's application to speed up discharge planning should now be further evaluated.

Development of a patient decision aid for discharge planning of hospitalized patients with stroke

Background

Patient involvement in discharge planning of patients with stroke can be accomplished by providing personalized outcome information and promoting shared decision-making. The aim of this study was to develop a patient decision aid (PtDA) for discharge planning of hospitalized patients with stroke.

Methods

A convergent mixed methods design was used, starting with needs assessments among patients with stroke and health care professionals (HCPs). Results of these assessments were used to develop the PtDA with integrated outcome information in several co-creation sessions. Subsequently, acceptability and usability were tested to optimize the PtDA. Development was guided by the International Patient Decision Aids Standards (IPDAS) criteria.

Results

In total, 74 patients and 111 HCPs participated in this study. A three-component PtDA was developed, consisting of:

1) a printed consultation sheet to introduce the options for discharge destinations, containing information that can be specified for each individual patient;

2) an online information and deliberation tool to support patient education and clarification of patient values, containing an integrated “patients-like-me” model with outcome information about discharge destinations;

3) a summary sheet to support actual decision-making during consultation, containing the patient’s values and preferences concerning discharge planning.

In the acceptability test, all qualifying and certifying IPDAS criteria were fulfilled. The usability test showed that patients and HCPs highly appreciated the PtDA with integrated outcome information.

Conclusions

The developed PtDA was found acceptable and usable by patients and HCPs and is currently under investigation in a clinical trial to determine its effectiveness.

Utility of the AM-PAC "6 Clicks" Basic Mobility and Daily Activity Short Forms to Determine Discharge Destination in an Acute Stroke Population

IMPORTANCE

The American Heart Association and American Stroke Association recommend early identification of level of rehabilitative care as a priority after stroke.

OBJECTIVE

To evaluate the utility of the Activity Measure for Post-Acute Care (AM-PAC) "6 Clicks" Daily Activity and Basic Mobility forms to determine the next level of rehabilitation after hospitalization for adults with stroke.

DESIGN

Retrospective cohort design using medical records from 2015 to 2016.

SETTING

Major urban hospital.

PARTICIPANTS

Patients admitted to the stroke service, with a confirmed stroke, who were seen by a physical or occupational therapist; who had a 6 Clicks Basic Mobility or Daily Activity score at initial evaluation; and who were discharged to home, an acute inpatient rehabilitation facility (IRF), or a subacute skilled nursing facility (SNF).

OUTCOMES AND MEASURES

Length of stay and discharge destination.

RESULTS

Seven hundred four participants (M age = 68.28 yr; 51.21% female) were included. Analysis of variance and receiver operating characteristic curves were performed. Daily Activity scores were highest for home discharge, lower for IRF discharge, and lowest for SNF discharge; Basic Mobility showed a similar pattern. Cutoff values distinguishing home from further inpatient rehabilitation were 44.50 for Basic Mobility and 39.40 for Daily Activity scores (area under the curve [AUC] = .82 for both forms), with scores of 34.59 (AUC = 0.64) and 31.32 (AUC = 0.67) separating IRF from SNF, respectively.

CONCLUSIONS AND RELEVANCE

Therapists should incorporate 6 Clicks scores into their discharge planning. What This Article Adds: This research demonstrates the utility of an outcome measure in the acute care setting that assists in planning discharge destination for patients with stroke.

Prognostic Factors in Neurorehabilitation of Stroke: A Comparison among Regression, Neural Network, and Cluster Analyses

There is a large body of literature reporting the prognostic factors for a positive outcome of neurorehabilitation performed in the subacute phase of stroke. Despite the recent development of algorithms based on neural networks or cluster analysis for the identification of these prognostic factors, the literature lacks a rigorous comparison among classical regression, neural network, and cluster analysis. Moreover, the three methods have rarely been tested on a sample independent from that in which prognostic factors have been identified. This study aims at providing this comparison on a wide sample of data (1522 patients) and testing the results on an independent sample (1000 patients) using 30 variables. The accuracy was similar among regression, neural network, and cluster analyses on the analyzed sample (76.6%, 74%, and 76.1%, respectively), but on the test sample, the accuracy of neural network decreased (70.1%). The three models agreed in identifying older age, severe impairment, unilateral spatial neglect, and total anterior circulation infarcts as important prognostic factors. The binary regression analysis also provided solid results in the test sample, especially in terms of specificity (81.8%). Cluster analysis also showed a high sensitivity in the test sample (82.6%) and allowed a meaningful easy-to-use classification tree to be obtained.

The rehabilitation of physical function after severely disabling stroke: a survey of UK therapist practice

Background/aims

Individuals who are severely disabled from stroke (survivors of severely disabling stroke) experience poorer outcomes compared to those who are less disabled from stroke. However, there is a paucity of evidence describing current therapy practice in the management of severely disabling stroke. The aim of the study was to describe intervention and outcome measure use by physiotherapists and occupational therapists in the rehabilitation of physical function of survivors of severely disabling stroke.

Methods

A mixed-methods survey was conducted, involving an online questionnaire and follow-up interviews. Survey participants were UK-based physiotherapists and occupational therapists with experience treating stroke. Questionnaire data were analysed with descriptive and inferential statistics. Interview data were analysed using content analysis.

Results

A total of 452 therapists (59% physiotherapists) responded to the questionnaire. Out of the respondents, 18 self-selected therapists participated in follow-up interviews to explain questionnaire data. Whole body positioning, training of upper limb handling and positioning, and sitting balance practice were the most frequently used interventions. Inpatient-based therapists performed more active rehabilitation interventions, whereas community-based therapists performed more training and education. The Barthel Index, Modified Rankin Scale and National Institutes for Health Stroke Scale were the most frequently used outcome measures. Outcome measure use was generally low and was more likely to be completed when it was part of a national audit. Reasons for low outcome measure use were perceived lack of time and insensitivity to detect clinical change.

Conclusions

A variety of interventions and outcome measures are used in the rehabilitation of survivors of severely disabling stroke. There is a need to evaluate the effectiveness of frequently used interventions and identify outcome measures that are sensitive to the needs of survivors of severely disabling stroke.

Socio-environmental predictive factors for discharge destination after inpatient rehabilitation in patients with stroke: a systematic review and meta-analysis

PURPOSE

To identify which of the socio-environmental factors of patients with stroke are predictive for discharge to their home after inpatient rehabilitation. Because discharge planning is a key component of rehabilitation, it is important to recognize the predictive factors for a discharge home. Other systematic reviews demonstrated the value of functional outcome measures. This review adds to the current literature by assessing the predictive value of socio-environmental factors, which shape the context in which a person lives.

METHODS

We performed a systematic search in seven databases. Two independent reviewers selected studies and assessed them for methodological quality. We extracted data to estimate pooled odds ratio for household situation, social support, ethnicity and socioeconomic status.

RESULTS

Forty studies were included. Significant estimates were found for living with others (OR 2.60; 95%CI 1.84-3.68), having support at home (OR 11.48; 95%CI 6.52-20.21), being married (OR 2.05; 95%CI 1.80-2.33) and living at home before stroke (OR 31.01; 95%CI 7.38-130.18).

CONCLUSION

Living at home and benefiting from social support, including living with others, are important factors to consider during discharge planning after stroke. Further research should consider the impact of socioeconomic status.IMPLICATIONS FOR REHABILITATIONEvaluating the social and environmental factors of patients with stroke plays an important role in discharge planning.Next to functional status, caregiver availability (support at home) is among the strongest predictive factors for discharge home.To assess caregiver availability, the presence of a willing and able caregiver should be surveyed at admission.Further predictive factors for discharge home are cohabitation and marital status.

Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors

BACKGROUND AND PURPOSE

The importance of environmental factors for stroke patients to achieve home discharge was not scientifically proven. There are limited studies on the application of the decision tree algorithm with various functional and environmental variables to identify stroke patients with a high possibility of home discharge. The present study aimed to identify the factors, including functional and environmental factors, affecting home discharge after stroke inpatient rehabilitation using the machine learning method.

METHOD

This was a cohort study on data from the maintained database of all patients with stroke who were admitted to the convalescence rehabilitation ward of our facility. In total, 1125 stroke patients were investigated. We developed three classification and regression tree (CART) models to identify the possibility of home discharge after inpatient rehabilitation.

RESULTS

Among three models, CART model incorporating basic information, functional factor, and environmental factor variables achieved the highest accuracy for identification of home discharge. This model identified FIM dressing of the upper body (score of ≤2 or >2) as the first single discriminator for home discharge. Performing house renovation was associated with a high possibility of home discharge even in patients with stroke who had a poor FIM score in the ability to dress the upper body (≤2) at admission into the convalescence rehabilitation ward. Interestingly, many patients who performed house renovation have achieved home discharge regardless of the degree of lower limb paralysis.

CONCLUSION

We identified the influential factors for realizing home discharge using the decision tree algorithm, including environmental factors, in patients with convalescent stroke.

Thirty-Day Hospital Readmission and Surgical Complication Rates for Shunting in Normal Pressure Hydrocephalus: A Large National Database Analysis

BACKGROUND

Research on age-related complications secondary to shunts in normal pressure hydrocephalus (NPH) is primarily limited to single-center studies and small cohorts.

OBJECTIVE

To determine the rates of hospital readmission and surgical complications, and factors that predict them, following shunt surgery for NPH in a large healthcare network.

METHODS

Surgical procedures, complications, and readmissions for adults undergoing ventricular shunting for NPH were determined using de-identified claims from a privately insured United States healthcare network in years 2007-2014. Univariate and multivariate statistics were used to determine factors that predict poor surgical outcomes. The primary outcome variable was surgical complications or readmissions (composite variable for any major perioperative complication or 30-d readmission).

RESULTS

The 30-d readmission rate for 974 patients with NPH who underwent ventricular shunting was 7.29%; the most common reasons for readmission were shunt-related complications, infection, hemorrhage, altered mental status, and cardiopulmonary and musculoskeletal problems. The perioperative complication rate was 21.15%, including intraparenchymal hemorrhage (5.85%) and extra-axial (subdural or epidural) hematoma (5.54%). The overall rate of having a surgical complication or 30-d readmission was 25.15%. Age did not predict surgical complication or 30-d readmission. Preoperative comorbidities independently associated with poor outcome were myocardial infarction within 1 yr (OR = 3.984, 95% CI = 1.105-14.368); existing cerebrovascular disease (odds ratio [OR] = 2.206, 95% CI = 1.544-3.152); and moderate/severe renal disease (OR = 2.000, 95% CI = 1.155-3.464).

CONCLUSION

The rate of complications or readmission within 30 d of ventricular shunting for NPH is 25.15%. Preoperative comorbidities of myocardial infarction within 1 yr, cerebrovascular disease, and moderate/severe renal disease are independent risk factors for poor outcome.

Use of the Activity Measure for Post-Acute Care "6 Clicks" Basic Mobility Inpatient Short Form and National Institutes of Health Stroke Scale to Predict Hospital Discharge Disposition After Stroke

OBJECTIVE

Therapists in the hospital are charged with making timely discharge recommendations to improve access to rehabilitation after stroke. The objective of this study was to identify the predictive ability of the Activity Measure for Post-Acute Care "6 Clicks" Basic Mobility Inpatient Short Form (6 Clicks mobility) score and the National Institutes of Health Stroke Scale (NIHSS) score for actual hospital discharge disposition after stroke.

METHODS

In this retrospective cohort study, data were collected from an academic hospital in the United States for 1543 patients with acute stroke and a 6 Clicks mobility score. Discharge to home, a skilled nursing facility (SNF), or an inpatient rehabilitation facility (IRF) was the primary outcome. Associations among these outcomes and 6 Clicks mobility and NIHSS scores, alone or together, were tested using multinomial logistic regression, and the predictive ability of these scores was calculated using concordance statistics.

RESULTS

A higher 6 Clicks mobility score alone was associated with a decreased odds of actual discharge to an IRF or an SNF. The 6 Clicks mobility score alone was a strong predictor of discharge to home versus an IRF or an SNF. However, predicting discharge to an IRF versus an SNF was stronger when the 6 Clicks mobility score was considered in combination with the NIHSS score, age, sex, and race.

CONCLUSION

The 6 Clicks mobility score alone can guide discharge decision making after stroke, particularly for discharge to home versus an SNF or an IRF. Determining discharge to an SNF versus an IRF could be improved by also considering the NIHSS score, age, sex, and race. Future studies should seek to identify which additional characteristics improve predictability for these separate discharge destinations.

IMPACT

The use of outcome measures can improve therapist confidence in making discharge recommendations for people with stroke, can enhance hospital throughput, and can expedite access to rehabilitation, ultimately affecting functional outcomes.

Factors associated with performing activities of daily living in women after suffering a stroke

OBJECTIVE

To associate sociodemographic variables and risk factors for stroke to the degree of dependence for performing the activities of daily living of women of childbearing age after suffering a stroke.

METHOD

A prospective and analytical longitudinal study conducted in three public hospitals in Fortaleza, CE, Brazil. The Modified Barthel Index was used at the time of attending the unit and 3 months after the stroke to assess the degree of disability in the performance of activities of daily living. The chi-squared and likelihood ratio tests were chosen to analyze the association between variables.

RESULTS

There were 109 women of childbearing age who participated in the study. There was an association between higher degrees of dependence in women from the interior/rural areas, with lower income and black people (p = 0.032, p = 0.043, p = 0.03, respectively). Regarding personal risk factors, there was a greater dependency in women with heart disease (p = 0.040), sedentary (p = 0.030) and alcoholics (p = 0.017).

CONCLUSION

The results show the factors associated with higher degrees of dependence for performing activities of daily living by women of childbearing age after the occurrence of stroke.

Exploring discharge destination following severe stroke

Background:

Patients with severe stroke frequently present with substantial impairments but are often not prioritised for post-discharge rehabilitation. There is a need to determine where these patients are discharged to in order to facilitate appropriate allocation of post-discharge pathway resources.

Aim:

The present study aimed to describe the discharge pathways of patients with severe stroke and to identify predictors of discharge destination for these patients.

Method:

A descriptive, retrospective design was utilised to determine the discharge destination for 770 patients with severe stroke in Queensland, Australia. Binomial logistic regression was used to determine the variables that predicted discharge destination.

Results:

The results indicated that 58.44% of patients were discharged home (n = 450). Age, length of stay, discharge ward and geographical region emerged as significant predictors of discharge destination. The full model containing all predictors was statistically significant and, as a whole, explained 36.50% of the variance in discharge destination.

Conclusion:

These results highlight the importance of these variables in influencing the outcomes of patients with severe stroke, which may assist post-hospital discharge services in allocating resources for patients with severe stroke.

Development and validation of a prediction model for home discharge in patients with moderate stroke: The Korean stroke cohort for functioning and rehabilitation study

BACKGROUND

Previous studies have investigated the predictors for home discharge without considering stroke severity.

OBJECTIVES

To develop a practical assessment tool that predicts home discharge for moderate stroke patients after subacute rehabilitation therapy in the tertiary hospitals.

METHODS

Stroke patients with National Institutes of Health Stroke Scale scores of 6 to 13 were included in this prospective cohort study. Various demographic, clinical, and functional factors were analyzed as potential predictive factors. A weighted scoring model was developed through the following three-step process: 1) selection of the factors by logistic regression analyses, 2) development of a weighted scoring model, and 3) validation of the generalizability of the model.

RESULTS

The home discharge rate was 51% (n = 372), and the overall mean length of stay of hospitalization was 32.5 days. 1) The Cognitive Functional Independence Measure, 2) the Functional Ambulation Categories, 3) the modified Charlson Comorbidity Index, and 4) marital status were independent predictors of home discharge. The coefficient value for marital status was adjusted to 1 in the scoring system, and the values of the other parameters were proportionally converted to the nearest integer. Possible total scores ranged from 0 to 13 in the model, with a higher score indicating a higher probability of home discharge. With a cutoff point of 7, this model showed 87.0% sensitivity and 86.2% specificity (area under the curve = 0.90).

CONCLUSIONS

This novel assessment tool can be useful in predicting home discharge after subacute rehabilitation of moderate stroke patients.

Clinical outcomes of moderate to severe acute ischemic stroke in a telemedicine network

Acute ischemic strokes (AIS) with severe neurologic deficits are associated with poor short- and long-term prognosis. Thrombectomy alone or in combination with thrombolysis is used for reperfusion in patients with moderate-to-severe AIS. However, the best therapeutic approach within the setting of telemedicine networks needs to be elucidated further. The objective of this study was to analyze clinical and imaging based outcomes of moderate to severe stroke following treatment with thrombolysis, thrombectomy or a combination of both in a telemedicine network. Data of this retrospective study was abstracted from the institutional telestroke database. Patients with a National Institute of Health Stroke Scale score (NIH-SS ≥ 10) were included into the study. Primary outcome measure was the difference in NIH-SS at admission compared to discharge from the hospital. Secondary outcome measure was the discharge disposition defined as favorable (discharge to home or rehabilitation) versus unfavorable disposition (discharge to hospice/death). Furthermore, outcome was analyzed based on reperfusion status following thrombectomy using the Thrombolysis in Cerebral Infarction (TICI) scale. The NIH-SS improved in all three groups, independent of treatment subtype, with a trend towards best outcomes following thrombolysis and combined treatment therapy compared to thrombectomy alone. In addition, reperfusion rates were higher in the combination group compared to the thrombectomy only group. The number of favorable discharges was similar in all three groups. The present study stresses the benefits of tele-stroke networks in allowing to early identify and treat even patients with severe strokes and benefit from different treatment modalities.

Associations of Self-Reported History of Depression and Antidepressant Use Before Stroke Onset With Poststroke Post-Acute Rehabilitation Care-An Exploratory Study: The BASIC (Brain Attack Surveillance in Corpus Christi) Project

Background

Prestroke depression status and post–acute rehabilitation care (PARC) are determinants of poststroke depression and function. However, little is known on how prestroke depression status affects PARC placement, a possible pathway for upstream intervention. We examined how prestroke depression status affects PARC in a population‐based study.

Methods and Results

Incident ischemic stroke cases were from the BASIC (Brain Attack Surveillance in Corpus Christi) Project from 2008 to 2012. Prestroke depression status was self‐reported and categorized as (1) never depressed, (2) history of depression without antidepressant use before stroke onset, or (3) antidepressant use before stroke onset. PARC included home, a skilled nursing facility, or an inpatient rehabilitation facility. Confounder‐adjusted multinomial regression models were used to examine the association between prestroke depression status and PARC. Adjustment for stroke severity was deferred in the main analyses because it may lie on the causal pathway. There were 548 stroke survivors (mean age 65.3 years, 48.3% female, 62.6% Mexican‐American). The adjusted odds ratios comparing home discharge to a skilled nursing facility were 1.88 (95% CI: 0.86‐4.11) for those with a history of depression and 2.55 (95% CI: 1.11‐5.83) for those using an antidepressant at stroke onset, relative to those never depressed. The adjusted odds ratios comparing an inpatient rehabilitation facility to a skilled nursing facility were 1.17 (95% CI 0.40‐3.42) and 3.28 (95% CI 1.24‐8.67) for those with a history of depression and those using an antidepressant at stroke onset, respectively, relative to those never depressed.

Conclusions

Antidepressant use before stroke onset may increase odds of home and inpatient rehabilitation facility discharge compared with skilled nursing facility discharge.

Usefulness of the Daily Life Performance Transfer Sheet in Care Management of People With Stroke

OBJECTIVE

We examined the usefulness of collaboration between occupational therapists and care managers using the Daily Life Performance Transfer Sheet.

METHOD

We administered a questionnaire to obtain care managers' subjective assessments of the usefulness of the Daily Life Performance Transfer Sheet in the care management of clients with stroke 1 mo after discharge.

RESULTS

Most care managers perceived the Daily Life Performance Transfer Sheet as useful. Its perceived usefulness was significantly correlated with all items related to subjective assessment of care management, such as the understanding of clients' abilities, short-term care planning, long-term care planning, interprofessional collaboration, and sense of accomplishment.

CONCLUSION

The Daily Life Performance Transfer Sheet is a useful tool for care managers in the care management of clients with stroke.

Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities

The aim of this study was to examine predictors of discharge of hospitalized stroke patients to either an acute inpatient rehabilitation facility (IRF) or subacute skilled nursing facility (SNF).A retrospective cohort study was done in a large multicampus urban academic medical center of individuals hospitalized for stroke between January 1, 2015 and December 31, 2015 and who were discharged to either an IRF (n = 84) or SNF (n = 59). A set of characteristics and scales were collected on each patient and assessed using univariate and multivariate regression analyses.Although univariate analyses revealed multiple measures were associated with discharge destination, the most predictive multivariate logistic regression model for discharge to SNF incorporated age (odds ratio [OR] = 1.09, 95% confidence interval [CI], 1.05-1.13), premorbid physical disability (OR 7.52, 95% CI 1.66-34.14), and inability to ambulate before discharge (OR 5.84, 95% CI 2.01-16.92) with an overall c-statistic of 0.85.Increasing age, premorbid physical disability, and inability to ambulate increase the overall likelihood of discharge to a SNF. These findings need to be replicated in larger samples to determine whether they are generalizable.

Outcome Measure Scores Predict Discharge Destination in Patients With Acute and Subacute Stroke: A Systematic Review and Series of Meta-analyses

BACKGROUND AND PURPOSE

To identify the association between outcome measure score and discharge destination in adults following acute or subacute stroke in the United States.

METHODS

A systematic literature search was performed in 3 databases using the PRISMA guidelines. Cohort studies were selected that included patients with acute or subacute stroke, which explored the relationship between scores on outcome measures and discharge destination. Four meta-analyses were performed.

RESULTS

Nine articles met the inclusion criteria for systematic review and 5 for the series of meta-analyses. For every 1-point increase on the Functional Independence Measure (FIM), a patient is approximately 1.08 times more likely to be discharged home than to institutionalized care (odds ratio [OR] = 1.079; 95% confidence interval [CI], 1.056- 1.102). Patients with stroke who performed above-average (FIM ≥80; NIH Stroke Scale [NIHSS] score ≤5; etc) are 12 times (OR = 12.08; 95% CI, 3.550-41.07) more likely to discharge home. Patients who perform poorly (FIM ≤39; NIHSS score ≥14), experience discharge to institutionalized care 3.4 times (OR = 3.385; 95% CI, 2.591-4.422) more likely than home, with skilled nursing facility admission more likely than inpatient rehabilitation facility. Patients who perform average (FIM = 40-79; NIHSS score = 6-13) are 1.9 times (OR = 1.879; 95% CI, 1.227-2.877) more likely to be discharged to institutionalized care.

DISCUSSION AND CONCLUSION

Outcome measure scores are strong predictors of discharge destination among patients with stroke and provide an objective means of early discharge planning. Discharge decisions should be made with consideration for patient-specific biopsychosocial factors that may supersede isolated results of the outcome measures, and further research needs to assess the success of the location that a patient is referred at discharge.Video Abstract available for more insights from the authors (see Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A194).

Hospital Discharge Disposition of Stroke Patients in Tennessee

OBJECTIVES

Early determination of hospital discharge disposition status at an acute admission is extremely important for stroke management and the eventual outcomes of patients with stroke. We investigated the hospital discharge disposition of patients with stroke residing in Tennessee and developed a predictive tool for clinical adoption. Our investigational aims were to evaluate the association of selected patient characteristics with hospital discharge disposition status and predict such status at the time of an acute stroke admission.

METHODS

We analyzed 127,581 records of patients with stroke hospitalized between 2010 and 2014. Logistic regression was used to generate odds ratios with 95% confidence intervals to examine the factor outcome association. An easy-to-use clinical predictive tool was built by using integer-based risk scores derived from coefficients of multivariable logistic regression.

RESULTS

Among the 127,581 records of patients with stroke, 86,114 (67.5%) indicated home discharge and 41,467 (32.5%) corresponded to facility discharge. All considered patient characteristics had significant correlations with hospital discharge disposition status. Patients were at greater odds of being discharged to another facility if they were women; older; black; patients with a subarachnoid or intracerebral hemorrhage; those with the comorbidities of diabetes mellitus, heart disease, hypertension, chronic kidney disease, arrhythmia, or depression; those transferred from another hospital; or patients with Medicare as the primary payer. A predictive tool had a discriminatory capability with area under the curve estimates of 0.737 and 0.724 for derivation and validation cohorts, respectively.

CONCLUSIONS

Our investigation revealed that the hospital discharge disposition pattern of patients with stroke in Tennessee was associated with the key patient characteristics of selected demographics, clinical indicators, and insurance status. These analyses resulted in the development of an easy-to-use predictive tool for early determination of hospital discharge disposition status.

Caregiver availability for severe stroke results in improved functional ability at discharge from inpatient rehabilitation

PURPOSE

To evaluate the predictive capacity of caregiver availability on functional ability at time of discharge from inpatient rehabilitation in individuals with severe first-time stroke.

METHODS

A retrospective chart review was conducted of severe stroke inpatients admitted to a stroke rehabilitation unit between April 2005 and December 2009. Follow-up telephone interviews were conducted with patients to determine caregiver availability at time of discharge. Hierarchical linear regression analysis was performed to assess the predictive capacity of caregiver availability on functional ability at discharge from an inpatient rehabilitation unit after controlling for covariates.

RESULTS

Data from 180 individuals were included in the analysis. Individuals with a caregiver had significantly higher levels of functional ability at discharge compared to those without (85.8 ± 23.6 versus 72.9 ± 20.3; p < 0.01), although both groups achieved a minimal clinically important difference. After controlling for age, gender, admission Functional Independence Measure, and length of hospital stay, caregiver availability explained 1.3% of additional variance, with the final model explaining 41.3% of total variance for functional ability at discharge (F (5,174) = 26.21, p < 0.001).

CONCLUSIONS

The presence of a caregiver at time of discharge from inpatient rehabilitation is predictive of significantly higher functional ability at discharge in individuals with severe stroke. Implications for rehabilitation The availability of a caregiver at time of discharge from inpatient rehabilitation is predictive of improved functional ability at discharge in individuals with severe stroke. The presence of an available caregiver positively influences the functional recovery of individuals with severe stroke and may be an important element to successful rehabilitation.

Transcranial Motor Evoked Potentials of Lower Limbs Can Prognosticate Ambulation in Hemiplegic Stroke Patients

OBJECTIVE

To examine the association between motor evoked potentials (MEPs) in lower limbs and ambulatory outcomes of hemiplegic stroke patients.

METHODS

Medical records of hemiplegic patients with the first ever stroke who received inpatient rehabilitation from January 2013 to May 2014 were reviewed. Patient who had diabetes, quadriplegia, bilateral lesion, brainstem lesion, severe musculoskeletal problem, and old age over 80 years were excluded. MEPs in lower limbs were measured when they were transferred to the Department of Rehabilitation Medicine. Subjects were categorized into three groups (normal, abnormal, and absent response) according to MEPs findings. Berg Balance Scale (BBS) and Functional Ambulation Category (FAC) at initial and discharge were compared among the three groups by one-way analysis of variance (ANOVA). Correlation was determined using a linear regression model.

RESULTS

Fifty-eight hemiplegic patients were included. BBS and FAC at discharge were significantly (ANOVA, p<0.001) different according to MEPs findings. In linear regression model of BBS and FAC using stepwise selection, patients' age (p<0.01), BBS at admission (p<0.01), and MEPs (p<0.01) remained significant covariates. In regression assumption model of BBS and FAC at admission, MEPs and gender were significant covariates.

CONCLUSION

Initial MEPs of lower limbs can prognosticate the ambulatory outcomes of hemiplegic patients.

Non-aneurysmal non-perimesencephalic subarachnoid hemorrhage: effect of rehabilitation at short-term and in a prospective study of long-term follow-up

BACKGROUND

A recently published prospective study identified an impaired outcome of patients with non-perimesencephalic (NPM) subarachnoid hemorrhage (SAH). Our objective was to analyze the long-term outcome of patients with subsequent rehabilitation after NPM SAH.

METHODS

A comparison of patients with NPM SAH receiving subsequent in-patient rehabilitation was done at discharge (using the modified Rankin scale (mRS)), short-term outcome after 6 months (mRS), and prospectively using a questionnaire (short-form health survey with 36 questions (SF-36)), which was sent to 66 patients.

RESULTS

Thirty-seven patients answered the SF-36, on average 6.3 years after ictus (range 1.5-14 years). After NPM SAH, the mRS is impaired. Patients with subsequent rehabilitation had a significant better improvement until short-term follow-up. Until long-term outcome, the psychological items were non-significantly reduced, whereas all physical items (physical functioning, role limitations because of physical health problems, bodily pain, and general health perceptions) were significantly decreased compared to the standard population. In patients with subsequent rehabilitation, all items were only non-significantly reduced. About 16% of the patients developed secondary neurological and/or psychiatric diseases.

CONCLUSIONS

The quality of life (QoL) is decreased after NPM SAH. In the long-term follow-up, a significant reduction in physical items was identified. Due to subsequent in-patient rehabilitation after NPM SAH, the impairment can be improved significantly until short-term follow-up. Whereas patients with NPM SAH had a significantly decreased QoL at long-term follow-up, for patients with rehabilitation, the QoL was only slightly (non-significantly) reduced. Therefore, patients should receive subsequent rehabilitation after NPM SAH to improve the functional short-term outcome (mRS) and long-term QoL. www.clinicaltrials.gov (Identifier No. NCT02334657).