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Related Experiment Video

Updated: Jun 13, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
09:10

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

Published on: February 22, 2020

Predicting 30-Day Readmission After Stroke: A Systematic Review and Meta-Analysis to Inform Predictor Selection.

Saurabh Kalra1,2, Farya Fakoori1, Mohammad Nafeli Shahrestani1

  • 1Department of Neurology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.

Diagnostics (Basel, Switzerland)
|June 12, 2026
PubMed
Summary

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This summary is machine-generated.

Thirty-day stroke readmissions are common at 12.9%. Current prediction models show moderate accuracy, highlighting a need for improved stroke care transition and patient context factors in future models.

Area of Science:

  • Neurology
  • Public Health
  • Health Services Research

Background:

  • Thirty-day readmission after stroke is a significant concern, with limited recent synthesis of current rates, prediction model performance, and key predictor domains.
  • Understanding readmission patterns is crucial for improving post-stroke care and patient outcomes.

Purpose of the Study:

  • To comprehensively synthesize contemporary 30-day readmission rates after stroke.
  • To evaluate the performance of existing prediction models for stroke readmissions.
  • To identify and summarize predictor domains used in stroke readmission models.

Main Methods:

  • A systematic literature search was conducted across major databases (PubMed, Embase, Web of Science, Scopus, Google Scholar) for studies published between January 2021 and October 2025, adhering to PRISMA guidelines.
Keywords:
30-day readmissioncare transitionsmachine learningmeta-analysisprognostic modelsrisk prediction modelsstrokestroke outcomessystematic review

Related Experiment Videos

Last Updated: Jun 13, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
09:10

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

Published on: February 22, 2020

  • Random-effects meta-analysis was used to pool readmission proportions and model discrimination (Area Under the Receiver Operating Characteristic Curve - AUC).
  • Heterogeneity was assessed using I-squared statistics, and predictors were categorized by domain.

    • Main Results:

    • Twenty studies were included, with 15 contributing quantitative data from 358,434 patients.
    • The pooled 30-day readmission proportion was 12.9% (all-cause: 14.2%; stroke-specific: 3.6%).
    • Pooled model discrimination (AUC) was 0.69, indicating moderate predictive ability, with substantial heterogeneity (I² > 98%) across studies. Predictor selection was inconsistent and data-driven.

    Conclusions:

    • Thirty-day stroke readmissions remain a prevalent issue, with current predictive models demonstrating only modest discrimination.
    • The development of high-performing, generalizable stroke readmission prediction models is still needed.
    • Future models require broader predictors encompassing stroke severity, care transitions, follow-up, and patient context, alongside external validation and clinical integration.