New evidence-based A1, A2, A3 alarm time zones for transferring thrombolysed patients to hyper-acute stroke units: faster is better

Urinary incontinence indicates mortality, disability, and infections in hospitalised stroke patients

OBJECTIVES

To assess the impact of urinary incontinence (UI) on health outcomes over the entire spectrum of acute stroke severity (National Institutes of Health Stroke Scale [NIHSS] scores: 0-42), due to a paucity of data on patients with milder strokes.

PATIENTS AND METHODS

Data were prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme (1593 men, 1591 women; mean [SD] age 76.8 [13.3] years) admitted to four UK hyperacute stroke units (HASUs). Relationships between variables were assessed by multivariable logistic regression. Data were adjusted for age, sex, comorbidities, pre-stroke disability and intra-cranial haemorrhage, and presented as odds ratios with 95% confidence intervals.

RESULTS

Amongst patients with no symptoms or a minor stroke (NIHSS scores of 0-4), compared to patients without UI, patients with UI had significantly greater risks of poor outcomes including: in-hospital mortality; disability at discharge; in-hospital pneumonia; urinary tract infection within 7 days of admission; prolonged length of stay on the HASU; palliative care by discharge; activity of daily living (ADL) support, and new discharge to care home. In patients with more moderate stroke (NIHSS score of 5-15) the same outcomes were identified; being at greater risk for patients with UI, except for palliative care by discharge and ADL support. With the highest stroke severity group (NIHSS score of 16-48) all outcomes were identified except in-patient mortality, pneumonia, and ADL support. However, odds ratios diminished as NIHSS scores increased.

CONCLUSIONS

Urinary incontinence is a useful indicator of poor short-term outcomes in older patients with an acute stroke, but irrespective of stroke severity. This provides valuable information to healthcare professionals to identify at-risk individuals.

Sex-specific independent risk factors of urinary incontinence in acute stroke patients: A multicentre registry-based cohort study

BACKGROUND

The presence of urinary incontinence (UI) in acute stroke patients indicates poor outcomes in men and women. However, there is a paucity and inconsistency of data on UI risk factors in this group and hence we conducted a sex-specific analysis to identify risk factors.

METHODS

Data were collected prospectively (2014-2016) from the Sentinel Stroke National Audit Program for patients admitted to four UK hyperacute stroke units. Relevant risk factors for UI were determined by stepwise multivariable logistic regression, presented as odds ratios (OR) and 95% confidence intervals (CI).

RESULTS

The mean (±SD) age of UI onset in men (73.9 year ± 13.1; n = 1593) was significantly earlier than for women (79.8 year ± 12.9; n = 1591: p < 0.001). Older age between 70 and 79 year in men (OR = 1.61: CI = 1.24-2.10) and women (OR = 1.55: CI = 1.12-2.15), or ≥80 year in men (OR = 2.19: CI = 1.71-2.81), and women (OR = 2.07: CI = 1.57-2.74)-reference: <70 year-both predicted UI. In addition, intracranial hemorrhage (reference: acute ischemic stroke) in men (OR = 1.64: CI = 1.22-2.20) and women (OR = 1.75: CI = 1.30-2.34); and prestroke disability (mRS scores ≥ 4) in men (OR = 1.90: CI = 1.02-3.5) and women (OR = 1.62: CI = 1.05-2.49) (reference: mRS scores < 4); and stroke severity at admission: NIHSS scores = 5-15 in men (OR = 1.50: CI = 1.20-1.88) and women (OR = 1.72: CI = 1.37-2.16), and NIHSS scores = 16-42 in men (OR = 4.68: CI = 3.20-6.85) and women (OR = 3.89: CI = 2.82-5.37) (reference: NIHSS scores = 0-4) were also significant. Factors not selected were: a history of congestive heart failure, hypertension, atrial fibrillation, diabetes and previous stroke.

CONCLUSIONS

We have identified similar risk factors for UI after stroke in men and women including age >70 year, intracranial hemorrhage, prestroke disability and stroke severity.

Impact of healthcare-associated infections within 7-days of acute stroke on health outcomes and risk of care-dependency: a multi-centre registry-based cohort study

Healthcare-associated infections (HCAIs) in patients admitted with acute conditions remain a major challenge to healthcare services. Here, we assessed the impact of HCAIs acquired within 7-days of acute stroke on indicators of care-quality outcomes and dependency. Data were prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme for 3309 patients (mean age = 76.2 yr, SD = 13.5) admitted to four UK hyperacute stroke units (HASU). Associations between variables were assessed by multivariable logistic regression (odds ratios, 95% confidence intervals), adjusted for age, sex, co-morbidities, pre-stroke disability, swallow screening, stroke type and severity. Within 7-days of admission, urinary tract infection (UTI) and pneumonia occurred in 7.6% and 11.3% of patients. Female (UTI only), older age, underlying hypertension, atrial fibrillation, previous stroke, pre-stroke disability, intracranial haemorrhage, severe stroke, and delay in swallow screening (pneumonia only) were independent risk factors of UTI and pneumonia. Compared to patients without UTI or pneumonia, those with either or both of these HCAIs were more likely to have prolonged stay (> 14-days) on HASU: 5.1 (3.8-6.8); high risk of malnutrition: 3.6 (2.9-4.5); palliative care: 4.5 (3.4-6.1); in-hospital mortality: 4.8 (3.8-6.2); disability at discharge: 7.5 (5.9-9.7); activity of daily living support: 1.6 (1.2-2.2); and discharge to care-home: 2.3 (1.6-3.3). In conclusion, HCAIs acquired within 7-days of an acute stroke led to prolonged hospitalisation, adverse health consequences and risk of care-dependency. These findings provide valuable information for timely intervention to reduce HCAIs, and minimising subsequent adverse outcomes.

Determination of independent risk factors for early healthcare-associated infections acquired after acute stroke admission: A multi-centre registry-based cohort study

OBJECTIVE

Healthcare-associated infections (HCAIs) in patients admitted with acute conditions pose a serious risk to patients and a major challenge to healthcare services. However, there is a lack of consistency in reporting aetiological risk factors, particularly in acute stroke patients. Here, we determined independent risk factors of two common HCAIs (urinary tract infection and pneumonia) acquired within 7-days of admission after an acute stroke.

METHODS

Data were prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme for 3,309 patients (mean age=76.2yr, SD=13.5) admitted to four UK hyperacute stroke units. Associations between variables were assessed by forward stepwise multivariable logistic regression (odds ratios, 95 % confidence intervals).

RESULTS

The rate of urinary tract infection and/or pneumonia occurring within 7-days of admission was 15.0 %. The risk of urinary tract infection and/or pneumonia was increased amongst women: OR = 1.35 (1.08-1.68); patients from ethnic minority backgrounds: OR = 1.77 (1.01-3.10); patients aged 70-79 years: OR = 2.08 (1.42-3.06), and ≥80 years: OR = 3.20 (2.26-4.55); history of hypertension: OR = 1.59 (1.27-1.98); history of atrial fibrillation: OR = 1.67 (1.32-2.12); pre-stroke disability: OR = 2.08 (1.44-3.00); intracranial haemorrhage: OR = 1.41 (1.07-1.86); severe stroke: OR = 3.21 (2.32-4.45); swallow screening within 4-72 h: OR = 1.42 (1.08-1.86); swallow screening beyond 72 h: OR = 1.70 (1.08-2.70). History of congestive heart failure, diabetes and previous stroke did not significantly associate with HCAIs.

CONCLUSIONS

A profile of independent risk factors for two common HCAIs in acute stroke was identified. These findings provide valuable information for timely intervention to reduce HCAIs, and the ability to minimise subsequent adverse outcomes.

Adverse stroke outcomes amongst UK ethnic minorities: a multi-centre registry-based cohort study of acute stroke

OBJECTIVE

Socioeconomic and health inequalities persist in multicultural western countries. Here, we compared outcomes following an acute stroke amongst ethnic minorities with Caucasian patients.

METHODS

Data were prospectively collected (2014-2016) from the Sentinel Stroke National Audit Programme for 3309 patients who were admitted with an acute stroke in four UK hyperacute stroke units. Associations between variables were examined by chi-squared tests and multivariable logistic regression, adjusted for age, sex, prestroke functional limitations and co-morbidities, presented as odds ratios (OR) with 95% CI.

RESULTS

There were 3046 Caucasian patients, 95 from ethnic minorities (mostly South Asians, Blacks, mixed race and a few in other ethnic groups) and 168 not stated. Compared with Caucasian patients, those from ethnic minorities had a proportionately higher history of diabetes (33.7% vs 15.4%, P < 0.001), but did not differ in other chronic conditions, functional limitations or sex distribution. Their age of stroke onset was younger both in women (76.8 year vs 83.2 year, P < 0.001) and in men (69.5 year vs 75.9 year, P = 0.002). They had greater risk for having a stroke before the median age of 79.5 year: OR = 2.15 (1.36-3.40) or in the first age quartile (< 69 year): OR = 2.91 (1.86-4.54), requiring palliative care within the first 72 h: OR = 3.88 (1.92-7.83), nosocomial pneumonia or urinary tract infection within the first 7 days of admission: OR = 1.86 (1.06-3.28), and in-hospital mortality: OR = 2.50 (1.41-4.44).

CONCLUSIONS

Compared with Caucasian patients, those from ethnic minorities had earlier onset of an acute stroke by about 5 years and a 2- to fourfold increase in many stroke-related adverse outcomes and death.

Organizational Factors Determining Access to Reperfusion Therapies in Ischemic Stroke-Systematic Literature Review

BACKGROUND

After onset of acute ischemic stroke (AIS), there is a limited time window for delivering acute reperfusion therapies (ART) aiming to restore normal brain circulation. Despite its unequivocal benefits, the proportion of AIS patients receiving both types of ART, thrombolysis and thrombectomy, remains very low. The organization of a stroke care pathway is one of the main factors that determine timely access to ART. The knowledge on organizational factors influencing access to ART is sparce. Hence, we sought to systematize the existing data on the type and frequency of pre-hospital and in-hospital organizational factors that determine timely access to ART in patients with AIS.

METHODOLOGY

Literature review on the frequency and type of organizational factors that determine access to ART after AIS. Pubmed and Scopus databases were the primary source of data. OpenGrey and Google Scholar were used for searching grey literature. Study quality analysis was based on the Newcastle-Ottawa Scale.

RESULTS

A total of 128 studies were included. The main pre-hospital factors associated with delay or access to ART were medical emergency activation practices, pre-notification routines, ambulance use and existence of local/regional-specific strategies to mitigate the impact of geographic distance between patient locations and Stroke Unit (SU). The most common intra-hospital factors studied were specific location of SU and brain imaging room within the hospital, and the existence and promotion of specific stroke treatment protocols. Most frequent factors associated with increased access ART were periodic public education, promotion of hospital pre-notification and specific pre- and intra-hospital stroke pathways. In specific urban areas, mobile stroke units were found to be valid options to increase timely access to ART.

CONCLUSIONS

Implementation of different organizational factors and strategies can reduce time delays and increase the number of AIS patients receiving ART, with most of them being replicable in any context, and some in only very specific contexts.

Comparison of characteristics, management and outcomes in hospital-onset and community-onset stroke: a multi-centre registry-based cohort study of acute stroke

Objective

Hospital-onset stroke (HOS) is associated with poorer outcomes than community-onset stroke (COS). Previous studies have variably documented patient characteristics and outcome measures; here, we compare in detail characteristics, management and outcomes of HOS and COS.

Methods

A total of 1656 men (mean age ± SD = 73.1 years ± 13.2) and 1653 women (79.3 years ± 13.0), with data prospectively collected (2014–2016) from the Sentinel Stroke National Audit Programme, were admitted with acute stroke in four UK hyperacute stroke units (HASU). Associations between variables were examined by chi-squared tests and multivariable logistic regression (COS as reference).

Results

There were 272 HOS and 3037 COS patients with mean ages of 80.2 years ± 12.5 and 76.4 years ± SD13.5 and equal sex distribution. Compared to COS, HOS had higher proportions ≥ 80 years (64.0% vs 46.4%), congestive heart failure (16.9% vs 4.9%), atrial fibrillation (25.0% vs 19.7%) and pre-stroke disability (9.6% vs 5.1%), and similar history of stroke, hypertension, diabetes, stroke type and severity of stroke. After age, sex and co-morbidities adjustments, HOS had greater risk of pneumonia: OR (95%CI) = 1.9 (1.3–2.6); malnutrition: OR = 2.2 (1.7–2.9); immediate thrombolysis complications: OR = 5.3 (1.5–18.2); length of stay on HASU > 3 weeks: OR = 2.5 (1.8–3.4); post-stroke disability: OR = 1.8 (1.4–2.4); and in-hospital mortality: OR = 1.8 (1.2–2.4), as well as greater support at discharge including palliative care: OR = 1.9 (1.3–2.8); nursing care: OR = 2.0 (1.3–4.0), help for daily living activities: OR = 1.6 (1.1–2.2); and joint-care planning: OR = 1.5 (1.1–1.9).

Conclusions

This detailed analysis of underlying differences in subject characteristics between patients with HOS or COS and adverse consequences provides further insights into understanding poorer outcomes associated with HOS.

Predicting Stroke Complications in Hospital and Functional Status at Discharge by Clustering of Cardiovascular Diseases a Multi-Centre Registry-Based Study of Acute Stroke

OBJECTIVE

Indicators for outcomes following acute stroke are lacking. We have developed novel evidence-based criteria for identifying outcomes of acute stroke using the presence of clusters of coexisting cardiovascular disease (CVD).

MATERIALS AND METHODS

Analysis of prospectively collected data from the Sentinel Stroke National Audit Programme (SSNAP). A total of 1656 men (mean age ±SD=73.1yrs±13.2) and 1653 women (79.3yrs±13.0) were admitted with acute stroke (83.3% ischaemic, 15.7% intracranial haemorrhagic), 1.0% unspecified) in four major UK hyperacute stroke units (HASU) between 2014 and 2016. Four categories from cardiovascular disease Congestive heart failure, Atrial fibrillation, pre-existing Stroke and Hypertension (CASH).were constructed: CASH-0 (no coexisting CVD); CASH-1 (any one coexisting CVD); CASH-2 (any two coexisting CVD); CASH-3 (any three or all four coexisting CVD). These were tested against outcomes, adjusted for age and sex.

RESULTS

Compared to CASH-0, individuals with CASH-3 had greatest risks of in-hospital mortality (11.1% vs 24.5%, OR=1.8, 95%CI=1.3-2.7) and disability (modified Rankin Scale score ≥4) at discharge (24.2% vs 46.2%, OR=1.9, 95%CI=1.4-2.7), urinary tract infection (3.8% vs 14.6%, OR= 3.3, 95%CI= 1.9-5.5), and pneumonia (7.1% vs 20.6%, OR= 2.6, 95%CI= 1.7-4.0); length of stay on HASU >14 days (29.8% vs 39.3%, OR=1.8, 95%CI=1.3-2.6); and joint-care planning (20.9% vs 29.8%, OR=1.4, 95%CI=1.0-2.0).

CONCLUSIONS

We present a simple tool for estimating the risk of adverse outcomes of acute stroke including death, disability at discharge, nosocomial infections, prolonged length of stay, as well as any joint care planning. CASH-0 indicates a low level and CASH-3 indicates a high level of risk of such complications after stroke.

Adverse consequences of immediate thrombolysis-related complications: a multi-centre registry-based cohort study of acute stroke

Complications following thrombolysis for stroke are well documented, and mostly concentrated on haemorrhage. However, the consequences of patients who experience any immediate thrombolysis-related complications (TRC) compared to patients without immediate TRC have not been examined. Prospectively collected data from the Sentinel Stroke National Audit Programme were analysed. Thrombolysis was performed in 451 patients (52.1% men; 75.3 years ± 13.2) admitted with acute ischaemic stroke (AIS) in four UK centres between 2014 and 2016. Adverse consequences following immediate TRC were assessed using logistic regression, adjusted for age, sex and co-morbidities. Twenty-nine patients (6.4%) acquired immediate TRC. Compared to patients without, individuals with immediate TRC had greater adjusted risks of: moderately-severe or severe stroke (National Institutes of Health for Stroke Scale score ≥ 16) at 24-h (5.7% vs 24.7%, OR 3.9, 95% CI 1.4-11.1); worst level of consciousness (LOC) in the first 7 days (score ≥ 1; 25.0 vs 60.7, OR 4.6, 95% CI 2.1-10.2); urinary tract infection or pneumonia within 7-days of admission (13.5% vs 39.3%, OR 3.2, 95% CI 1.3-7.7); length of stay (LOS) on hyperacute stroke unit (HASU) ≥ 2 weeks (34.7% vs 66.7%, OR 5.2, 95% CI 1.5-18.4); mortality (13.0% vs 41.4%, OR 3.7, 95% CI 1.6-8.4); moderately-severe or severe disability (modified Rankin Scale  score ≥ 4) at discharge (26.8% vs 65.5%, OR 4.7, 95% CI 2.1-10.9); palliative care by discharge date (5.1% vs 24.1%, OR 5.1, 95% CI 1.7-15.7). The median LOS on the HASU was longer (7 days vs 30 days, Kruskal-Wallis test: χ² = 8.9, p = 0.003) while stroke severity did not improve (NIHSS score at 24-h post-thrombolysis minus NIHSS score at arrival = - 4 vs 0, χ² = 24.3, p < 0.001). In conclusion, the risk of nosocomial infections, worsening of stroke severity, longer HASU stay, disability and death is increased following immediate TRC. The management of patients following immediate TRC is more complex than previously thought and such complexity needs to be considered when planning an increased thrombolysis service.

Validity of the LACE index for identifying frequent early readmissions after hospital discharge in children

The LACE index scoring tool has been designed to predict hospital readmissions in adults. We aimed to evaluate the ability of the LACE index to identify children at risk of frequent readmissions. We analysed data from alive-discharge episodes (1 April 2017 to 31 March 2019) for 6546 males and 5875 females from birth to 18 years. The LACE index predicted frequent all-cause readmissions within 28 days of hospital discharge with high accuracy: the area under the curve = 86.9% (95% confidence interval = 84.3-89.5%, p < 0.001). Two-graph receiver operating characteristic curve analysis revealed the LACE index cutoff to be 4.3, where sensitivity equals specificity, to predict frequent readmissions. Compared with those with a LACE index score = 0-4 (event rates, 0.3%), those with a score > 4 (event rates, 3.7%) were at increased risk of frequent readmissions: age- and sex-adjusted odds ratio = 12.4 (95% confidence interval = 8.0-19.2, p < 0.001) and death within 30 days of discharge: OR = 5.0 (95% CI = 1.5-16.7). The ORs for frequent readmissions were between 6 and 14 for children of different age categories (neonate, infant, young child and adolescent), except for patients in the child category (6-12 years) where odds ratio was 2.8.Conclusion: The LACE index can be used in healthcare services to identify children at risk of frequent readmissions. Focus should be directed at individuals with a LACE index score above 4 to help reduce risk of readmissions. What is Known: • The LACE index scoring tool has been widely used to predict hospital readmissions in adults. What is New: • Compared with children with a LACE index score of 0-4 (event rates, 0.3%), those with a score > 4 are at increased risk of frequent readmissions by 14-fold. • The cutoff of a LACE index of 4 may be a useful level to identify children at increased risk of frequent readmissions.

Derivation of age-adjusted LACE index thresholds in the prediction of mortality and frequent hospital readmissions in adults

The LACE index has been shown to predict hospital readmissions and death with variable accuracy. A LACE index ≥ 10 is considered as high risk in the existing literature. We aimed to derive age-specific LACE index thresholds in the prediction of mortality and frequent readmissions. Analysis of prospectively collected data of consecutive alive-discharge episodes between 01/04/2017 and 31/03/2019 to a single hospital was conducted. The derivation of LACE index thresholds for predicting all-cause mortality within 6 months of hospital discharge or frequent readmissions (≥ 2 times within 28 days) was examined by receiver operating characteristics (ROC) in 32270 patients (14878 men, 17392 women) aged 18-107 year (mean = 64.0 years, SD = 20.5). For all patients with a LACE index ≥ 10, the area under the curve (AUC) for predicting mortality was 80.5% (95% CI 79.7-81.3) and for frequent readmissions was 84.0% (83.0-85.1). Two-graph ROC plots showed that the LACE index threshold where sensitivity equates specificity was 9.5 (95% intermediate range = 5.6-13.5) for predicting mortality and 10.3 (95% intermediate range = 6.6-13.6) for frequent readmissions. These thresholds were lowest among youngest individuals and rose progressively with age for mortality prediction: 18-49 years = 5.0, 50-59 years = 6.5, 60-69 years = 8.0, 70-79 years = 9.8 and ≥ 80 years = 11.6, and similarly for frequent readmissions: 18-49 years = 5.1, 50-59 years = 7.5, 60-69 years = 9.1, 70-79 years = 10.6 and ≥ 80 years = 12.0. Positive and negative likelihood ratios (LRs) ranged 1.5-3.3 and 0.4-0.6 for predicting mortality, and 2.5-4.4 and 0.3-0.6 for frequent readmissions, respectively, with stronger evidence in younger than in older individuals (LRs further from unity). In conclusion, the LACE index predicts mortality and frequent readmissions at lower thresholds and stronger in younger than in older individuals. Age should be taken into account when using the LACE index for identifying patients at high risk.

The Ability of the Nottingham Hip Fracture Score to Predict Mobility, Length of Stay and Mortality in Hospital, and Discharge Destination in Patients Admitted with a Hip Fracture

The Nottingham Hip Fracture Score (NHFS) has been developed for predicting 30-day and 1-year mortality after hip fracture. We hypothesise that NHFS may also predict other adverse events. Data from 666 patients (190 men, 476 women), aged 60.2-103.4 years, admitted with a hip fracture to a single centre from 1/10/2015 and 7/12/2017 were analysed. The ability of NHFS to predict mobility within 1 day after surgery, length of stay (LOS) find mortality, and discharge destination was evaluated by receiver operating characteristic curves and two-graph plots. The area under the curve (95% confidence interval [CI]) for predicting mortality was 67.4% (58.4-76.4%), prolonged LOS was 59.0% (54.0-64.0%), discharge to residential/nursing care was 62.3% (54.0-71.5%), and any two of failure to mobilise, prolonged LOS or discharge to residential/nursing care was 64.8% (59.0-70.6%). NHFS thresholds at 4 and 7 corresponding to the lower and upper limits of intermediate range where sensitivity and specificity equal 90% were identified for mortality and prolonged LOS, and 4 and 6 for discharge to residential/nursing care, which were used to create three risk categories. Compared with the low risk group (NHFS = 0-4), the high risk group (NHFS = 7-10 or 6-10) had increased risk of in-patient mortality: rates = 2.0% versus 7.1%, OR (95% CI) = 3.8 (1.5-9.9), failure to mobilise within 1 day of surgery: rates = 18.9% versus 28.3%, OR = 1.7 (1.0-2.8), prolonged LOS (> 17 days): rates = 20.3% versus 33.9%, OR = 2.2 (1.3-3.3), discharge to residential/nursing care: rates = 4.5% vs 12.3%, OR = 3.0 (1.4-6.4), and any two of failure to mobilise, prolonged LOS or discharge to residential/nursing care: rates = 10.5% versus 28.6%, 3.4 (95% CI 1.9-6.0), and stayed 4.1 days (1.5-6.7 days) longer in hospital. High NHFS associates with increased risk of mortality, prolonged LOS and discharge to residential/nursing care, lending further support for its use to identify adverse events.

Prestroke Disability Predicts Adverse Poststroke Outcome: A Registry-Based Prospective Cohort Study of Acute Stroke

Background and Purpose- Information on what effect disability before stroke can have on stroke outcome is lacking. We assessed prestroke disability in relation to poststroke hospital outcome. Methods- Analysis of prospectively collected data from the Sentinel Stroke National Audit Programme. A total of 1656 men (mean age ±SD =73.1±13.2 years) and 1653 women (79.3±13.0 years) were admitted to hyperacute stroke units with acute stroke in 4 major UK between 2014 and 2016. Prestroke disability, assessed by modified Rankin Scale (mRS), was tested against poststroke adverse outcomes, adjusted for age, sex, and coexisting morbidities. Results- Compared with patients with prestroke mRS score =0, individuals with prestroke mRS scores =3, 4, or 5 had greater adjusted risks of moderately severe or severe stroke on arrival (4.4% versus 16.7%; odds ratio [OR], 3.2 [95% CI, 2.3-4.6] P<0.001); urinary tract infection or pneumonia within 7 days of admission (9.6% versus 35.9%; OR, 3.7 [95% CI, 2.8-4.8] P<0.001); mortality (7.2% versus 37.1%; OR, 4.9 [95% CI, 3.7-6.5] P<0.001); requiring help with activities of daily living on discharge (12.3% versus 26.7%; OR, 3.1 [95% CI, 2.3-4.1] P<0.001); and transferred to new care home (2.4% versus 9.4%; OR, 2.1 [95% CI, 1.3-3.3] P=0.002). Patients with mRS scores =1 or 2 had intermediate risk of adverse outcomes. Overall, those with a mRS score =1 or 2 had length of stay on hyperacute stroke units extended by 5.3 days (95% CI, 2.8-7.7; P<0.001) and mRS score =3, 4 or 5 by 7.2 days (95% CI, 4.0-10.5; P<0.001). Conclusions- Individuals with evidence of prestroke disability, assessed by mRS, had significantly increased risk of poststroke adverse outcomes and longer length of stay on hyperacute stroke units and higher level of care on discharge.