L'âge très élevé constitue-t-il un facteur pronostique du devenir après un premier accident vasculaire cérébral ?

Post-acute referral of stroke victims in a French urban area: Results of a specific program

OBJECTIVE

The main objective of this study was to describe the distribution of referrals offered to patients assessed in the "Post-Acute Stroke program" of Bordeaux University Hospital (France). This program was developed in 2008 to organize the dispensation of care in rehabilitation units specialized in neurological diseases.

MATERIAL AND METHODS

This was a single-centre observational study. Between July 2008 and December 2012, data on the number of stroke patients hospitalized at the Bordeaux University Hospital and their post-acute referral were collected from the local hospital discharge database. Some of these patients were assessed by Physical Rehabilitation and Medicine physicians participating in the program. Proposed and actual referrals, time from admission to assessment and functional status were also collected.

RESULTS

Among 4189 stroke patients, 1465 (35%) survivors were assessed, of whom 932 (22.2%) were discharged to inpatient rehabilitation facilities. There were no patients discharged to this type of unit without an assessment. Among the 1465 patients who were assessed, 57.2% were referred to specialized rehabilitation units, 6.3% were discharged to non-specialized rehabilitation units and 26% returned home directly. The median total length of stay in acute units varied from 10 to 15days depending on referral orientation.

CONCLUSION

Patients that were assessed were more likely to be transferred to specialized rehabilitation units than to non-specialized rehabilitation units. The Post-Acute Stroke program has the particularity of combining private and public specialized rehabilitation units in a common collaborative referral system while retaining the control and flexibility of personalised referral for each patient in the light of local care availability.

Predicting functional outcomes in patients suffering from ischaemic stroke using initial admission variables and physiological data: a comparison between tree model and multivariate regression analysis

PURPOSE

This study was aimed to compare the application of a tree model and regression approach for developing data-driven models that identified frisk factors related to functional outcomes among ischaemic stroke patients.

METHODS

Data were derived from 271 hospitalised patients with a first-ever ischaemic stroke. The Barthel Index (BI) and Modified Rankin Scale (MRS) were used to assess the functional outcomes. The stroke severity at admission and related information from 2006 to December 2007 were extracted retrospectively from a chart review.

RESULTS

In the regression approach, including age, the National Institutes of Health Stroke Scale (NIHSS) score and glucose level were the most significant predictors affecting both the BI and MRS. After applying the tree model, different tree structures were found. For the BI score, the NIHSS score interact with glucose, age and systolic blood pressure to form the tree structure. By contrast, the NIHSS score mainly interact with patients' age to form the tree model for MRS.

CONCLUSION

Both models have their pros and cons. The tree model otherwise provides risk interactions, and can effectively discriminate the risk groups for different functional outcomes. Applying both models to specific situations will provide a different angle for functional assessment and intervention in stroke rehabilitation.

A model for predicting delay in discharge of stroke patients

AIMS

To study the factors that predict delay in discharge (DD) for stroke victims when they are admitted to hospital and to build a model for predicting DD in our hospital.

METHOD

A retrospective study of 214 stroke victims admitted to the Physical Medicine and Rehabilitation Service (PMRS) of a general hospital between January 1, 1994, and December 31, 2001. Seventeen clinical and sociodemographic data were studied to determine which factors were predictors of DD: age, sex, type of stroke, side affected, sphincter control, ability to communicate, level of consciousness, deep sensitivity, antecedents of cardiovascular risk, delay before admission to the PMRS, initial functional state and solitude, whether the patient was employed prior to the cerebrovascular accident, and whether the patient's place of residence had any exterior architectural barriers.

RESULTS

A total of 26.6% of patients experienced DD. Factors influencing DD were solitude (odds ratio [OR] 6; 95% confidence interval [CI] 2.2-16.1), an initial functional independence measure (FIM) below 50 (OR 4.5; 95% CI 2.3-8.9) and age greater than 75 years (OR 2.7; 95% CI 1.2-6.1). The best model for predicting DD comprises seven variables: solitude, initial FIM below 50, older than 75 years, left hemiparesis, exterior architectonic barriers at home, cardiovascular antecedents and sex (male). This model has a specificity of 89% and a sensitivity of 40%.

CONCLUSION

Solitude, low initial FIM and age older than 75 years influence DD for patients with stroke admitted to hospital. A model for predicting DD is described.

Nombre de lits dédiés à la pathologie vasculaire cérébrale en soins de suite et de réadaptation. Les recommandations nationales sont-elles pertinentes ?

OBJECTIVE

We sought to determine the number of beds necessary for stroke patients in postacute care units and to measure the relevance of the national guidelines on required number of beds.

METHODOLOGY

We conducted an epidemiological follow-up of a cohort, what allowed for evaluating stroke care under real-life conditions. We applied the French guidelines for transfer of patients to postacute care wards.

RESULTS

Of the 605 stroke patients hospitalised, 156 with a mean age of 72 years were included. A total of 64 (41%) could return home directly from the acute care wards and 73 (47%) were referred to postacute care wards. Among the latter patients, 31 (43%) were transferred to a physical medicine and rehabilitation (PMR) unit and 42 (57%) to a geriatric unit. The 19 remaining patients died in acute care. Of the 137 surviving patients, 46.7% returned directly home and 53.2% were referred to postacute care wards. Of patients older than 80 years, 74% were transferred to a geriatric unit, whereas 76% of the patients less than 80 years were transferred to a PMR unit.

DISCUSSION-CONCLUSION

The national guidelines are based on a rate of discharge of about 24% of stroke patients to postacute care wards. In our study, we found that 47% were transferred to such wards. If the guidelines are applied, 19 beds dedicated to stroke patients would be necessary for postacute stroke care on a national level, or double that (36) on a regional level. Of these 36 beds, 16 to 24 should be PMR beds. The calculation of the number of beds necessary often rests on a simple transposition of the results of the studies and not on an objective evaluation according to the local context. Studies of longitudinal follow-up of cohorts such as this seem essential to evaluate needs and measure the relevance of the national guidelines.

Rehabilitationsverlauf und Nachhaltigkeit—

A rehabilitation care management oriented towards the severity of the disease, the individual competence and the patient's needs essentially improves the effectivity and the sustainability of inpatient rehabilitation. The Institute of Gerontology of the University of Heidelberg is developing an assessment for elderly stroke patients to optimize placement decision by an early rehabilitation prognosis. Data concerning functional, cognitive and psychological status were collected in 267 patients participating in a postacute rehabilitation program on admission, after two weeks and on discharge and six weeks later. In this article are presented the study design and patients' characteristics during the rehabilitation process. The first assessment at admission gives important information about the sustainability of the ADL-competence after discharge. Severe stroke, premorbid ADL-competence, cognitive impairment, communication problems, depression and higher age were found to be predictors for the outcome of the rehabilitation process.