A prognostic index for 30-day mortality after stroke

Area of Science:

• Neurology
• Clinical Medicine
• Public Health

Background:

• Acute ischemic stroke poses a significant threat to patient survival.
• Accurate prediction of 30-day mortality is crucial for effective clinical management and resource allocation.
• Existing prognostic models may lack simplicity for widespread clinical application.

Purpose of the Study:

• To develop and validate a simplified scoring system for predicting 30-day mortality in patients with acute ischemic stroke.
• To create a practical tool for risk stratification in clinical research and practice.

Main Methods:

• Retrospective cohort study conducted in a tertiary referral hospital.
• Development of a prognostic index based on variables from a Cox model.
• Variables included impaired consciousness, dysphagia, urinary incontinence, admission body temperature, and hyperglycemia.

Main Results:

• The prognostic index incorporated five key variables: impaired consciousness, dysphagia, urinary incontinence, elevated admission temperature, and hyperglycemia.
• A score of 11 or more identified a high-risk group.
• The index demonstrated good performance with sensitivity, specificity, and positive predictive values of 68%, 98%, and 75% in the derivation sample, and 57%, 97%, and 68% in the validation sample.

Conclusions:

• The developed scoring system offers a simple and effective instrument for risk stratification of acute ischemic stroke patients.
• This tool can be valuable for both clinical research and routine practice.
• Prospective validation of the model is recommended to further confirm its utility.