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Regulation of Stroke Volume

Regulation of Stroke Volume

The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...

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Updated: Mar 26, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

Predicting discharge destination after stroke: A systematic review.

Margot Mees¹, Jelle Klein¹, Laetitia Yperzeele²

¹Born Bunge Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Universiteitsplein 1, B2610 Wilrijk, Belgium.

Clinical Neurology and Neurosurgery

|January 24, 2016

Summary

Predicting stroke patient discharge destination is crucial. Functional dependence, neurocognitive issues, and living situation significantly impact whether patients go home after hospitalization.

Keywords:

Discharge course Discharge location Nursing facility Rehabilitation

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Randomized, Triple-Blind, and Parallel-Controlled Trial of Transcranial Direct Current Stimulation for Cognitive Rehabilitation after Stroke

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Published on: June 6, 2025

Area of Science:

Neurology
Rehabilitation Medicine
Public Health

Background:

Discharge destination for acute stroke patients significantly impacts recovery and healthcare resource utilization.
Existing research identifies various factors influencing discharge disposition, but a consolidated overview is lacking.

Purpose of the Study:

To systematically review and synthesize evidence on factors predicting discharge destination for acute stroke patients.
To provide an overview of studies examining predictors of post-hospitalization disposition in stroke survivors.

Main Methods:

A systematic review methodology was employed.
Nineteen relevant articles were selected based on predefined inclusion criteria and research questions.
Factors were categorized by significance, including demographics, clinical status, and social determinants.

Main Results:

Functional dependence, comorbidities, neurocognitive dysfunction, and prior living circumstances were strongly associated with non-home discharge.
Medium to large infarcts correlated with institutionalization, while stroke volume did not predict home discharge.
Factors like age, gender, race, and caregiver availability showed controversial or inconsistent associations across studies.

Conclusions:

Key predictors for non-home discharge in stroke patients include functional status, cognitive impairment, and social support systems.
Further research is needed to clarify the role of other factors and to ensure sufficient study of under-researched variables like education and FIM progression.