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

Cruyssen, Kelly Van der; Vereeck, Luc; Saeys, Wim; Remmen, Roy

doi:10.3109/09638288.2014.961655

Cited by 43 publications

(35 citation statements)

References 42 publications

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“…Although we used a modified version of the Charlson Comorbidity Index specifically for predicting stroke outcomes, previous studies indicated that there was an association between comorbidity and discharge destination. 38 In addition, it is known that preexisting comorbidities are negatively associated with functional rehabilitation outcomes in stroke patients. 39 Another study reported that the mCCI on admission was an independent indicator of unfavorable functional outcome.…”

Section: Discussionmentioning

confidence: 99%

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

Kim

Joo

Sohn

et al. 2020

Topics in Stroke Rehabilitation

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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. ARTICLE HISTORY

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Section: Discussionmentioning

confidence: 99%

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

Kim

Joo

Sohn

et al. 2020

Topics in Stroke Rehabilitation

View full text Add to dashboard Cite

show abstract

“…From the literature it becomes clear that discharge destination is related to post-admission functional ability, age, cognitive abilities, and availability of social support (4)(5)(6). A systematic review showed that older patients with more comorbidities are more likely to be discharged to inpatient rehabilitation or long-term care after an acute stroke, rather than being discharged home (7). Another systematic review on prognostic indicators of acute hospital discharge disposition after stroke included 48 cohort studies with, in general, poor methodological quality (8).…”

Section: Introductionmentioning

confidence: 99%

Discharge home after acute stroke: Differences between older and younger patients

Dutrieux¹,

Eijk²,

Mierlo³

et al. 2016

J Rehabil Med

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“…Discharge destination after acute stroke has been reported to be predicted by many factors, including age, race, gender, medical complications/comorbidities, neurological complications, and environmental and socioeconomic factors [4]. In particular, younger age has been identified as a significant factor for being discharged home [7−9].…”

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confidence: 99%

Clinical Indicators and Thresholds for Determining Discharge Destination from Acute Stroke Ward

et al. 2019

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

Abstract: Patient initial medical care, age and sex, neurological and medical complications and environmental/socio-economic factors should be considered in the decision-making process for discharge destination.

Cited by 43 publications

References 42 publications

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

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

Discharge home after acute stroke: Differences between older and younger patients

Clinical Indicators and Thresholds for Determining Discharge Destination from Acute Stroke Ward

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