Predicting Stroke Complications in Hospital and Functional Status at Discharge by Clustering of Cardiovascular

Thang S Han1, Christopher H Fry2, David Fluck3

  • 1Institute of Cardiovascular Research, Royal Holloway University of London, Egham, TW20 0EX, UK.

Insights

A new tool using cardiovascular disease (CVD) clusters, called CASH, helps predict acute stroke outcomes. Higher CASH scores indicate increased risks for mortality, disability, and infections after stroke.

Area of Science:

  • Neurology
  • Cardiology
  • Public Health

Background:

  • Predicting outcomes after acute stroke remains challenging.
  • Existing indicators for acute stroke outcomes are limited.
  • Coexisting cardiovascular disease (CVD) may influence stroke outcomes.

Purpose of the Study:

  • To develop and validate evidence-based criteria for identifying acute stroke outcomes.
  • To assess the association between clusters of coexisting cardiovascular disease (CVD) and adverse stroke outcomes.

Main Methods:

  • Analysis of prospectively collected data from the Sentinel Stroke National Audit Programme (SSNAP) between 2014 and 2016.
  • Inclusion of 3309 patients admitted with acute stroke to UK hyperacute stroke units.
  • Development of the Cardiovascular disease, Atrial fibrillation, pre-existing Stroke and Hypertension (CASH) score, categorizing patients into CASH-0 to CASH-3 based on the number of coexisting CVDs.

Main Results:

  • Patients with CASH-3 (three or four coexisting CVDs) exhibited significantly higher risks of in-hospital mortality (OR=1.8) and disability at discharge (OR=1.9) compared to CASH-0.
  • Increased risks of urinary tract infection (OR=3.3), pneumonia (OR=2.6), and prolonged length of stay (>14 days) (OR=1.8) were observed in the CASH-3 group.
  • A higher likelihood of joint care planning (OR=1.4) was also associated with the CASH-3 category.

Conclusions:

  • The CASH score serves as a simple, evidence-based tool for estimating the risk of adverse outcomes following acute stroke.
  • CASH-0 signifies a low risk, while CASH-3 indicates a high risk for complications such as mortality, disability, infections, and prolonged hospital stay.
  • This tool can aid clinicians in risk stratification and management planning for acute stroke patients.
Abstract