Length of Stay in Rehabilitation is Associated with Admission Neurologic Deficit and Discharge Destination

The relative cerebral blood volume (rCBV) <42% is independently associated with prolonged hospitalization in anterior circulation large vessel occlusion

BackgroundThe pretreatment rCBV <42% lesion volume on CT Perfusion (CTP) has recently been shown to predict 90-day functional outcomes in stroke patients. However, its association with length of stay (LOS) has not yet been explored. This study aims to assess the relationship between rCBV <42% and prolonged LOS, defined as 7 days or longer.MethodsIn this retrospective evaluation of our prospectively collected database, we analyzed patients with confirmed anterior circulation large vessel occlusion on CT angiography who also received CT perfusion between 9/1/2017 and 10/01/2023. We used Student's t-test, Mann-Whitney U test, and Chi-Square test to assess differences. Logistic regression and ROC analyses were employed to evaluate the relationship between rCBV <42% and length of stay (LOS). A p-value of ≤0.05 was considered statistically significant.ResultsA total of 268 patients met our inclusion criteria. Of these, 85 (31.7%) received intravenous thrombolysis (IVT), and 221 (82.5%) underwent mechanical thrombectomy (MT). After adjusting for several variables, logistic regression analysis revealed that an rCBV <42% lesion volume was independently associated with prolonged length of stay (LOS) (aOR = 0.98, p < .001). ROC analysis indicated an area under the curve (AUC) of 0.66 (p < .001) for predicting prolonged LOS.ConclusionrCBV <42% lesion volume is independently associated with prolonged LOS. This parameter may serve as a useful adjunct tool in prognostication of AIS-LVO patients.

Knowledge of symptoms, risk factors, and treatment centers of stroke among the general population of Al-Ahsa, Saudi Arabia

Background

In Saudi Arabia, stroke is a significant cause of illness and mortality progressively becoming more serious. Studies have indicated that modifiable cardiovascular risk factors are responsible for a significant portion of the burden caused by stroke, which could be targeted through public awareness.

Objective

We evaluated the level of knowledge about stroke among the general population of the Al-Ahsa, Saudi Arabia. Furthermore, association between stroke level of knowledge and sample characteristics was analyzed.

Methods

This was a cross-sectional study conducted from February 22, 2023, to March 22, 2023, using a convenience sampling technique. An electronic Google Forms survey was distributed through social media, to reach the maximum number of participants.

Results

This study included a total of 500 participants from Al-Ahsa, Saudi Arabia. Forty-three percentage of participants were male, while 57% were females. Most participants were of a younger age, where 66.6% were 18-39 years. The most recognized stroke symptom, risk factor, and stroke treatment center were dizziness/vertigo (91%), hypertension (97%), and King Fahad Hospital, respectively. Those with higher education possessed a greater level of stroke-related knowledge than other demographic groupings.

Conclusion

The general public of Al-Ahsa demonstrated a high level of knowledge about stroke symptoms (82.6%), risk factors (90%), and treatment facilities (80%). However, it was evident that the general public failed to recognize the proper course of action in the event of a stroke.

Effects of functional performance and national health insurance cost on length of hospitalization for postacute care in stroke: a retrospective observational study

BACKGROUND

The postacute care for cerebrovascular disease (PAC-CVD) program was launched in Taiwan nearly a decade ago. However, no clear regulations regarding length of stay (LOS) in the program and extension standards exist. Thus, the allocation of limited medical resources such as hospital beds is a major issue.

METHODS

This novel study retrospectively investigated the effects of functional performance and national health insurance (NHI) costs on PAC-CVD LOS. Data for 263 patients with stroke who participated in the PAC-CVD program were analysed. Hierarchical multiple regression was used to estimate the effects of functional performance and NHI costs on LOS at three time points: weeks 3, 6, and 9.

RESULTS

At week 3, age, NHI costs, modified Rankin scale score, and Barthel index significantly affected LOS, whereas at week 6, age and NHI costs were significant factors. However, functional performance and NHI costs were not significant factors at week 9.

CONCLUSIONS

The study provides crucial insights into the factors affecting LOS in the PAC-CVD program, and the results can enable medical decision-makers and health care teams to develop inpatient rehabilitation plans or provide transfer arrangements tailored to patients. Specifically, this study highlights the importance of early functional recovery and consideration of NHI costs when managing LOS in the PAC-CVD program.

Is robot-assisted gait training intensity a determinant of functional recovery early after stroke? A pragmatic observational study of clinical care

Gait rehabilitation is a critical factor in functional recovery after a stroke. The aim of this pragmatic observational study was to identify the optimal dose and timing of robot-assisted gait training (RAGT) that can lead to a favourable outcome in a sample of subacute stroke survivors. Subacute patients with stroke who underwent a RAGT within a multidisciplinary rehabilitation program were enrolled. A set of clinical (i.e. age, type of stroke and time since stroke) and rehabilitation stay outcomes (length of stay and RAGT number of sessions) were recorded to evaluate their impact on functional outcome measures by functional independence measure (FIM) or functional ambulation category (FAC). We included 236 patients (62.73 ± 11.82 year old); 38.44% were females, and 59.32% were ischaemic stroke patients. Patients that received at least 14 RAGT sessions, had 15.83% more chance to be responders compared to those that receive less sessions (P = 0.006). Similarly, younger patients (≤60 years) were more prone to be responders (+15.1%). Lastly, an early rehabilitation (<6 weeks) was found to be more efficient (+21.09%) in determining responsiveness (P < 0.001). Becoming newly independent for gait, that refers to a FAC score ≥4, was related with age and RAGT sessions (P = 0.001). In conclusion, a younger age (≤60 years), an early rehabilitation (<6 weeks since stroke) and a higher RAGT dose (at least 14 sessions) were related to a favourable outcome in patients with subacute stroke.

Long-Term Rehabilitation Utilization Pattern Among Stroke Patients Under the National Health Insurance Program

OBJECTIVE

The aim of this study was to understand the frequency of patients receiving rehabilitation services at various periods after stroke and the possible medical barriers to receiving rehabilitation.

DESIGN

A retrospective cohort study was conducted using a nationally representative sample in Taiwan. A total of 14,600 stroke patients between 2005 and 2011 were included. Utilization of physical therapy or occupational therapy at different periods after stroke onset was the outcome variable. Individual and geographic characteristics were investigated to determine their effect on patients' probability of receiving rehabilitation.

RESULTS

More severe stroke or more comorbid diseases increased the odds of receiving physical therapy and occupational therapy; older age was associated with decreased odds. Notably, sex and stroke type influenced the odds of rehabilitation only in the early period. Copayment exemption lowered the odds of rehabilitation in the first 6 mos but increased the odds in later periods. Rural and suburban patients had significantly lower odds of receiving physical therapy and occupational therapy, as did patients living in areas with fewer rehabilitation therapists.

CONCLUSIONS

Besides personal factors, geographic factors such as urban-rural gaps and number of therapists were significantly associated with the utilization of post-stroke rehabilitation care. Furthermore, the influence of certain factors, such as sex, stroke type, and copayment exemption type, changed over time.

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records

Aim: To use available electronic administrative records to identify data reliability, predict discharge destination, and identify risk factors associated with specific outcomes following hospital admission with stroke, compared to stroke specific clinical factors, using machine learning techniques. Method: The study included 2,531 patients having at least one admission with a confirmed diagnosis of stroke, collected from a regional hospital in Australia within 2009-2013. Using machine learning (penalized regression with Lasso) techniques, patients having their index admission between June 2009 and July 2012 were used to derive predictive models, and patients having their index admission between July 2012 and June 2013 were used for validation. Three different stroke types [intracerebral hemorrhage (ICH), ischemic stroke, transient ischemic attack (TIA)] were considered and five different comparison outcome settings were considered. Our electronic administrative record based predictive model was compared with a predictive model composed of "baseline" clinical features, more specific for stroke, such as age, gender, smoking habits, co-morbidities (high cholesterol, hypertension, atrial fibrillation, and ischemic heart disease), types of imaging done (CT scan, MRI, etc.), and occurrence of in-hospital pneumonia. Risk factors associated with likelihood of negative outcomes were identified. Results: The data was highly reliable at predicting discharge to rehabilitation and all other outcomes vs. death for ICH (AUC 0.85 and 0.825, respectively), all discharge outcomes except home vs. rehabilitation for ischemic stroke, and discharge home vs. others and home vs. rehabilitation for TIA (AUC 0.948 and 0.873, respectively). Electronic health record data appeared to provide improved prediction of outcomes over stroke specific clinical factors from the machine learning models. Common risk factors associated with a negative impact on expected outcomes appeared clinically intuitive, and included older age groups, prior ventilatory support, urinary incontinence, need for imaging, and need for allied health input. Conclusion: Electronic administrative records from this cohort produced reliable outcome prediction and identified clinically appropriate factors negatively impacting most outcome variables following hospital admission with stroke. This presents a means of future identification of modifiable factors associated with patient discharge destination. This may potentially aid in patient selection for certain interventions and aid in better patient and clinician education regarding expected discharge outcomes.

Factors Related to Greater Functional Recovery after Suffering a Stroke

BACKGROUND

In a stroke, the importance of initial functional status is fundamental for prognosis. The aim of the current study was to investigate functional status, assessed by the Functional Independence Measure (FIM) scale, and possible predictors of functional outcome at discharge from inpatient rehabilitation.

METHODS

This is a retrospective study that was carried out at the Physical Medicine and Rehabilitation Service in A Coruña (Spain). A total of 365 consecutive patients with primary diagnosis of stroke were enrolled. The functional assessments of all patients were performed through the FIM. A descriptive and a bivariate analysis of the variables included in the study was made and a succession of linear regression models was used to determine which variables were associated with the total FIM at discharge.

RESULTS

Prior to having the stroke, 76.7% were totally independent in activities of daily living. The FIM scale score was 52.5 ± 25.5 points at admission and 83.4 ± 26.3 at hospital discharge. The multivariate analysis showed that FIM scores on admission were the most important predictors of FIM outcomes.

CONCLUSIONS

Our study indicates that the degree of independence prior to admission after suffering a stroke is the factor that will determine the functionality of patients at hospital discharge.

Health related quality of life and satisfaction with care of stroke patients in Budapest: A substudy of the EuroHOPE project

BACKGROUND

Disadvantaged socioeconomic status is associated with higher stroke incidence and mortality, and higher readmission rate. We aimed to assess the effect of socioeconomic factors on case fatality, health related quality of life (HRQoL), and satisfaction with care of stroke survivors in the framework of the European Health Care Outcomes, Performance and Efficiency (EuroHOPE) study in Hungary, one of the leading countries regarding stroke mortality.

METHODS

We evaluated 200 consecutive patients admitted for first-ever ischemic stroke in a single center and performed a follow-up at 3 months after stroke. We recorded pre- and post-stroke socioeconomic factors, and assessed case fatality, HRQoL and patient satisfaction with the care received. Stroke severity at onset was scored by the National Institutes of Health Stroke scale (NIHSS), disability at discharge from acute care was evaluated by the modified Rankin Score (mRS). To evaluate HRQoL and patient satisfaction with care we used the EQ-5D-5L, 15D and EORTC IN PATSAT 32 questionnaires.

RESULTS

At 3 months after stroke the odds of death was significantly increased by stroke severity (NIHSS, OR = 1.209, 95%CI: 1.125-1.299, p<0.001) and age (OR = 1.045, 95%CI: 1.003-1.089, p = 0.038). In a multiple linear regression model, independent predictors of HRQoL were age, disability at discharge, satisfaction with care, type of social dwelling after stroke, length of acute hospital stay and rehospitalization. Satisfaction with care was influenced negatively by stroke severity (Coef. = -1.111, 95%C.I.: -2.159- -0.062, p = 0.040), and positively by having had thrombolysis (Coef. = 25.635, 95%C.I.: 5.212-46.058, p = 0.016) and better HRQoL (Coef. = 22.858, 95%C.I.: 6.007-39.708, p = 0.009).

CONCLUSION

In addition to age, disability, and satisfaction with care, length of hospital stay and type of social dwelling after stroke also predicted HRQoL. Long-term outcome after stroke could be improved by reducing time spent in hospital, i.e. by developing home care rehabilitation facilities thus reducing the need for readmission to inpatient care.

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.

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).

Efficacy of early rehabilitation therapy on movement ability of hemiplegic lower extremity in patients with acute cerebrovascular accident

This study aims to investigate the efficacy of early rehabilitation therapy on the movement ability of hemiplegic lower extremity in patients with acute cerebrovascular accident (CVA).A total of 86 patients who suffered from acute CVA were selected and divided into 2 groups, according to random number tables: control group, and research group. Patients in the control group received routine primary therapy, while patients in the research group received rehabilitation based on the basic therapy. The recovery of hemiplegic limb movement ability and the improvement of daily living ability before and after treatment were evaluated using the simplified Fugl-Meyer assessment (FMA), neurologic deficit scale (NDS), and Barthel index (BI). After treatment, the clinical efficacy and satisfaction degree for treatment were compared.The FMA, NDS, and BI of patients in these 2 groups were distinctly ameliorated after treatment (P <.05). After treatment, the ameliorated degrees of FMA, NDS, and BI in the research group were obviously superior to those in the control group, and the differences were statistically significant (P <.05). The total efficacy and satisfaction degree in the research group were evidently higher than those in the control group after early rehabilitation therapy, and the differences were statistically significant (P <.05).Early rehabilitation therapy can significantly ameliorate the movement ability of hemiplegic lower extremity in patients with acute CVA. Its therapeutic effect is remarkable. Hence, it is worthy of popularizing in clinical practice.

Predicting the length of hospital stay of post-acute care patients in Taiwan using the Chinese version of the continuity assessment record and evaluation item set

Background

The Chinese version of the Continuity Assessment Record and Evaluation (CARE-C) item set was developed to facilitate the assessment of post-acute care (PAC) patients in Taiwan. Considering that the length of hospital stay (LOS) has a significant effect on the total healthcare cost, determining whether the CARE-C scores could predict the LOS of PAC patients is of great interest to the PAC providers.

Methods

This prospective trial included PAC patients with stroke or central nervous system injuries. The demographic data and CARE-C scores were collected after admission and before discharge. A multivariable stepwise linear regression model was used to identify the predictors of the LOS using age, sex, tube placement status, CARE-C component scores at admission, and score differences between admission and discharge as independent variables.

Results

This study included 178 patients (66 women and 112 men), with a mean age of 61.9 ± 15.6 years. Indwelling urinary catheter placement status at admission (β = 0.241, p = 0.002) was a positive predictor of the LOS, whereas age (β = −0.189, p = 0.010), core transfer subscale score at admission (β = −0.176, p = 0.020), and difference in continence subscale score (β = −0.203, p = 0.008) were negative predictors of the LOS. The model explained 14% of the total variance.

Conclusions

Indwelling urinary catheter placement status at admission, age, core transfer subscale score at admission, and difference in the CARE-C continence subscale score were identified as predictors of the LOS. The explanatory power of these predictors might be limited due to the regulations of Taiwan’s National Health Insurance.

Predicting length of stay in specialist neurological rehabilitation

AIMS

A retrospective case series was performed to determine which measures of complexity, dependency and function most accurately predict inpatient neurorehabilitation length of stay for individuals with post-acute neurological disorders.

METHODS

Sociodemographic, medical and functional variables were extracted from data submitted to the UK Rehabilitation Outcomes Collaborative. Length of stay was calculated as the total number of inpatient days, functional status was measured using Barthel Index, rehabilitation complexity was measured using Extended Rehabilitation Complexity Scale, and nursing dependency was measured using the Northwick Park Dependency Scale.

RESULTS

The mean rehabilitation length of stay was 70.9 days, with length of stay being 35.1 days higher in inpatients with acquired brain injury than inpatients with spinal cord injury. Diagnostic category, Barthel Index scores, Extended Rehabilitation Complexity Scale scores and Northwick Park Dependency Scale scores at admission independently predicted length of stay. Multiple regressions including diagnostic group, Barthel Index, Extended Rehabilitation Complexity Scale and Northwick Park Dependency Scale statistically significantly predicted 37.9% of the variability in length of stay (p < 0.005). Northwick Park Dependency Scale on admission was most closely correlated with inpatient length of stay.

CONCLUSIONS

In conclusion, inpatient length of stay is predicted by diagnostic category, Extended Rehabilitation Complexity Scale, Northwick Park Dependency Scale and Barthel Index. The most influential predictor of rehabilitation length of stay was Northwick Park Dependency Scale score at admission. These results may help facilitate rehabilitation resource planning and implementation of effective commissioning plans. Implications for Rehabilitation The most accurate predicting variable for length of stay in inpatient neurological rehabilitation was nursing need as measured by the Northwick Park Dependency Scale score on admission. Service users and commissioners can be provided with more realistic predictions of length of stay derived from admission variables that can be used in planning inpatient rehabilitation. Age and gender do not seem to have an effect on the total length of stay in rehabilitation.

Factors associated with prolonged length of stay in older patients

INTRODUCTION

Prolonged stay in acute hospitals increases the risk of hospital-acquired infections in older patients, and disrupts patient flow and access to care due to bed shortages. We aimed to investigate the factors associated with prolonged length of stay (pLOS) among older patients (aged ≥ 78 years) in a tertiary hospital, to identify the potentially modifiable risk factors that could direct interventions to reduce length of stay (LOS).

METHODS

During a three-month period from January 2013 to March 2013, we identified 72 patients with pLOS (LOS ≥ 21 days) and compared their demographic and clinical variables with that of 281 randomly selected control patients (LOS < 21 days) using univariate and multivariate logistic regression analyses.

RESULTS

The mean age of the patients was 85.30 ± 5.34 years; 54% of them were female and 72% were of Chinese ethnicity. Logistic regression revealed the following significant factors for increased LOS: discharge to intermediate and long-term care services (odds ratio [OR] 9.22, 95% confidence interval [CI] 3.56-23.89; p < 0.001); increased severity of illness (OR 2.41, 95% CI 1.12-5.21; p = 0.025); and presence of caregiver stress (OR 3.85, 95% CI 1.67-8.91; p = 0.002).

CONCLUSION

Presence of caregiver stress and nursing home placement are potential modifiable risk factors of pLOS among older patients. Early identification and management of caregiver stress, as well as expediting discharge planning, may help to reduce the length of stay for this cohort.

Neutrophil-to-Lymphocyte Ratio Predicts Length of Stay and Acute Hospital Cost in Patients with Acute Ischemic Stroke

BACKGROUND

Although several risk factors for prolonged length of stay (LOS) and increased hospital cost have been identified, the association between LOS, hospital cost, and neutrophil-to-lymphocyte ratio (NLR) has not yet been investigated. We aimed to investigate the influence of NLR on LOS and hospital cost in patients with acute ischemic stroke.

METHODS

Patients with acute ischemic stroke diagnosed within 24 hours of symptom onset were included. Univariate analysis and stepwise multiple regression analysis were used to identify independent predictors of LOS and hospital cost.

RESULTS

A total of 346 patients were included in the final analysis. The median LOS was 11 days (range 8-13 days). The median acute hospital cost per patient was 19,030.6 RMB (U.S. $ 3065.8) (range 14,450.8 RMB-25,218.2 RMB). Neutrophil count to lymphocyte count (NLR) (P < .001), diabetes mellitus (P = .034), stroke subtype (P = .005), and initial stroke severity (P < .001) were significantly associated with prolonged LOS in the univariate analysis. NLR (P < .001), smoking (P = .04), stroke subtype (P < .001), initial stroke severity (P < .001), and LOS (P < .001) were significantly associated with increased hospital cost in the univariate analysis. Multivariate regression analysis showed that NLR was an independent predictor of both LOS and acute hospital cost. In addition, high NLR was significantly correlated with poor outcome at discharge, prolonged LOS, and increased hospital cost.

CONCLUSIONS

NLR is significantly associated with LOS and acute hospital cost in patients presenting with acute ischemic stroke. It is a simple, inexpensive, and readily available biomarker and may serve as a clinically practical indicator for assessing the economic burden of stroke.

Length of Stay at Inpatient Rehabilitation Facility and Stroke Patient Outcomes

PURPOSE

To examine the association of inpatient rehabilitation facility (IRF) length of stay (LOS) with stroke patient outcomes.

DESIGN

A secondary data analysis of the Uniform Data System for Medical Rehabilitation database.

METHODS

Stroke patients discharged from IRFs in the United States between 2009 and 2011 were identified and divided into mild (n = 639), moderate (n = 2,065), and severely (n = 2,077) impaired groups. Study outcomes included cognition and motor functional gains measured by the Functional Independence Measure (FIM) instrument and discharge to the community.

FINDINGS

The average LOS was 8.9, 13.9, and 22.2 days for mild, moderate, and severely impaired stroke patients, respectively. After controlling for FIM admission and other important covariates, a longer LOS was associated with a modest increase in cognition gain (β = 0.038, p = .0045) for the moderately impaired patients, and a modest increase in cognition (β = 0.13, p < .0001) and motor gains (β = 0.25, p < .0001) as well as a tendency for discharge to the community (OR = 1.01, 95% CI = 1.00-1.02) among the severely impaired patients. However, a longer LOS showed a negative association with functional gains among the mildly impaired patients as well as discharge to community for both mild and moderately impaired patients.

CONCLUSION

The association of IRF LOS and patient outcomes varied by stroke impairment severity, positively for more severely impaired patients and negatively for mildly impaired patients.

CLINICAL RELEVANCE

The study provides evidence for the care of stroke patients at the IRF setting.

The predictive value of the Boston Acute Stroke Imaging Scale (BASIS) in acute ischemic stroke patients among Chinese population

Objective

Evaluate the predictive value of Boston Acute Stroke Imaging Scale (BASIS) in acute ischemic stroke in Chinese population.

Methods

This was a retrospective study. 566 patients of acute ischemic stroke were classified as having a major stroke or minor stroke based on BASIS. We compared short-term outcome (death, occurrence of complications, admission to intensive care unit [ICU] or neurological intensive care unit [NICU]), long-term outcome (death, recurrence of stroke, myocardial infarction, modified Rankin scale) and economic index including in-hospital cost and length of hospitalization. Continuous variables were compared by using the Student t test or Kruskal-Wallis test. Categorical variables were tested with the Chisquare test. Cox regression analysis was applied to identify whether BASIS was the independent predictive variable of death.

Results

During hospitalization, 9 patients (4.6%) died in major stroke group while no patients died in minor stroke group (p<0.001), 12 patients in the major stroke group and 5 patients in minor stroke group were admitted to ICU/NICU (p = 0.001). There were more complications (cerebral hernia, pneumonia, urinary tract infection) in major stroke group than minor stroke group (p<0.05). Meanwhile, the average cost of hospitalization in major stroke group was 3,100 US$ and 1,740 US$ in minor stroke group (p<0.001); the average length of stay in major and minor stroke group was 21.3 days and 17.3 days respectively (p<0.001). Results of the follow-up showed that 52 patients (26.7%) died in major stroke group while 56 patients (15.1%) died in minor stroke group (P<0.001). 62.2% of the patients in major stroke group and 80.4% of the patients in minor stroke group were able to live independently (P = 0.002). The survival analysis showed that patients with major stroke had 80% higher of risk of death than patients with minor stroke even after adjusting traditional atherosclerotic factors and NIHSS at baseline (HR = 1.8, 95% CI: 1.1–3.1).

Conclusion

BASIS can predict in-hospital mortality, occurrence of complication, length of stay and hospitalization cost of the acute ischemic stroke patients and can also estimate the long term outcome (death and the dependency). BASIS could and should be used as a dichotomous stroke classification system in the daily practice.

Racial/Ethnic differences in poststroke rehabilitation outcomes

Background. Significant racial and ethnic disparities in stroke incidence, severity, and morbidity have been consistently reported; however, less is known about potential differences in poststroke rehabilitation outcomes. Objective. To examine racial and ethnic differences in poststroke rehabilitation outcomes. Methods. We completed an in-depth search of Medline and several major journals dedicated to publishing research articles on stroke, rehabilitation, and racial-ethnic patterns of disease over a 10-year period (2003–2012). We identified studies that reported rehabilitation outcomes and the race or ethnicity of at least two groups. Results. 17 studies involving 429,108 stroke survivors met inclusion criteria for the review. The majority (94%) of studies examined outcomes between Blacks and Whites. Of those studies examining outcomes between Blacks and Whites, 59% showed that Blacks were generally less likely to achieve equivalent functional improvement following rehabilitation. Blacks were more likely to experience lower FIM gain or change scores (range: 1–60%) and more likely to have lower efficiency scores (range: 5–16%) than Whites. Conclusions. Black stroke survivors appear to generally achieve poorer functional outcomes than White stroke survivors. Future studies are warranted to evaluate the precise magnitude of these differences, whether they go beyond chance, and the underlying contributory mechanisms.

Hospital-Acquired Infection Underlies Poor Functional Outcome in Patients with Prolonged Length of Stay

Introduction

Prolonged length of stay (pLOS) following ischemic stroke inflates cost, increases risk for hospital-acquired complications, and has been associated with worse prognosis.

Methods

Acute ischemic stroke patients admitted between July 2008 and December 2010 were retrospectively analyzed for pLOS, defined as a patient stable for discharge hospitalized for an additional ≥24 hours.

Results

Of 274 patients included, 106 (38.7%) had pLOS (median age 65 years, 60.6% female, 69.0% black). Patients with pLOS had higher admission NIHSS than patients without pLOS (9 versus 5, P = 0.0010). A larger proportion of patients with pLOS developed an infection (P < 0.0001), and after adjusting for covariates, these patients had greater odds of poor short-term functional outcome (OR = 2.25, 95% CI 1.17–4.32, P = 0.0148). Adjusting for infection, the odds of patients with pLOS having poor short-term functional outcome were no longer significant (OR = 1.68, 95% CI 0.83–3.35, P = 0.1443).

Conclusions

The contraction of a hospital-acquired infection was a significant predictor of pLOS and a contributor of poor short-term outcome following an ischemic stroke. Whether the cause or the consequence of pLOS, hospital-acquired infections are largely preventable and a target for reducing length of stay.

Admission Norton scale scores correlate with rehabilitation outcome and length in elderly patients following cerebrovascular accident

AIMS

To determine whether Norton scale scores used for evaluating pressure sore risk also correlate with rehabilitation outcome and length following cerebrovascular accident (CVA) in elderly patients.

METHODS

A retrospective study was conducted at a geriatric rehabilitation department in a tertiary medical center during 2009. The medical charts of consecutive elderly (≥65 years) patients admitted for rehabilitation after CVA were studied for the following measurements: admission Norton scale scores, admission albumin serum levels, mini-mental status examination (MMSE) scores, discharge walking functional independence measure (FIM) scores, discharge transfer FIM scores, and rehabilitation length in days.

RESULTS

The cohort included 110 patients, 64 (58.2%) women and 46 (41.8%) men. The mean age of the entire group was 80.5±7.4 years. Most patients had ischemic CVA (90.9%) and a first CVA (79.1%). The mean discharge walking FIM score was 4.7±1.4, the mean discharge transfer FIM score was 5.0±1.4, and the mean length of rehabilitation was 28.2±15.3 days. Admission Norton scale scores correlated with discharge walking FIM scores (r=0.51; p<0.0001), discharge transfer FIM scores (r=0.43; p<0.0001), and length of rehabilitation (r=-0.45; p<0.0001) after adjustment for age, albumin serum levels, and MMSE scores. Linear regression analysis showed that admission Norton scale scores were associated (p<0.0001) with the discharge walking FIM scores, the discharge transfer FIM scores and rehabilitation length, independent of age, gender, albumin serum levels, MMSE scores, type of CVA, and the appearance of pressure sores.

CONCLUSIONS

The Norton scoring system may be used to predict the outcome and duration of rehabilitation in elderly patients after CVA.