Recovery from stroke: factors affecting prognosis

Predicting the functional outcome of intensive inpatient rehabilitation after stroke: results from the RIPS Study

BACKGROUND

The complexity of stroke sequelae, the heterogeneity of outcome measures and rehabilitation pathways, and the lack of extensively validated prediction models represent a challenge in predicting stroke rehabilitation outcomes.

AIM

To prospectively investigate a multidimensional set of variables collected at admission to inpatient post-stroke rehabilitation as potential predictors of the functional level at discharge.

DESIGN

Multicentric prospective observational study.

SETTING

Patients were enrolled in four Intensive Rehabilitation Units (IRUs).

POPULATION

Patients were consecutively recruited in the period December 2019-December 2020 with the following inclusion criteria: aged 18+, with ischemic/haemorrhagic stroke, and undergoing inpatient rehabilitation within 30 days from stroke.

METHODS

This is a multicentric prospective observational study. The rehabilitation pathway was reproducible and evidence-based. The functional outcome was disability in activities of daily living, measured by the modified Barthel Index (mBI) at discharge. Potential multidimensional predictors, assessed at admission, included demographics, event description, clinical assessment, functional and cognitive profile, and psycho-social domains. The variables statistically associated with the outcome in the univariate analysis were fed into a multivariable model using multiple linear regression.

RESULTS

A total of 220 patients were included (median [IQR] age: 80 [15], 112 women, 175 ischemic). Median mBI was 26 (43) at admission and 62.5 (52) at discharge. In the multivariable analysis younger age, along with better functioning, fewer comorbidities, higher cognitive abilities, reduced stroke severity, and higher motor functions at admission, remained independently associated with higher discharge mBI. The final model allowed a reliable prediction of discharge functional outcome (adjusted R2=77.2%).

CONCLUSIONS

The model presented in this study, based on easily collectable, reliable admission variables, could help clinicians and researchers to predict the discharge scores of the global functional outcome for persons enrolled in an evidence-based inpatient stroke rehabilitation program.

CLINICAL REHABILITATION IMPACT

A reliable outcome prediction derived from standardized assessment measures and validated treatment protocols could guide clinicians in the management of patients in the subacute phase of stroke and help improve the planning of the rehabilitation individualized project.

Early path nursing improves neurological function recovery in patients with intracerebral hemorrhage: Protocol for a randomized controlled trial

BACKGROUND

To explore the influence of the early path nursing on life quality and the neurological function recovery in the intracerebral hemorrhage (ICH) patients.

METHODS

The experiment was implemented from January 2018 to October 2020 at the First Affiliated Hospital of Soochow University. The experiment was granted through the Research Ethics Committee of the First Affiliated Hospital of Soochow University (2017033). In this experiment, the criteria for inclusion includes: hemorrhagic stroke diagnosed via the MRI or head CT; over 18 years of age; patients with motor dysfunction; The Glasgow Coma Scale > 12. The patients with these symptoms will be excluded: severe cognitive impairment; ischemic stroke; onset time > 3 days; and severe complications. The scale used for the evaluation the neurological function is the American Stroke Scale. This scale contains a total of eleven items, that is, the movements of upper and lower limb, the consciousness level, gaze, visual field, etc. Other outcomes include patient satisfaction and complications.

RESULTS

Evaluation the neurological function and quality of life will be shown in Table 1.

CONCLUSION

The early path nursing can promote the neurological function recovery in the ICH patients.

TRIAL REGISTRATION NUMBER

researchregistry6327.