Association of chronic kidney disease with outcomes in acute stroke

Iong Man Tung1, Raphae S Barlas1, Priya Vart1

  • 1ACER, School of Medicine, Medical Sciences and Nutrition, Institute of Applied Health Sciences, University of Aberdeen Foresthill, Room 4.013 Polwarth Building, Aberdeen, AB25 2ZD, Scotland, UK.

Insights

Chronic kidney disease (CKD) is linked to worse outcomes in all stroke types, including higher mortality and complications like pneumonia and sepsis. This highlights the importance of considering CKD in stroke prognosis and risk stratification.

Area of Science:

  • Nephrology
  • Neurology
  • Public Health

Background:

  • Chronic kidney disease (CKD) is a known risk factor for adverse outcomes in stroke patients.
  • Existing literature lacks detailed analysis of this association stratified by stroke type.

Purpose of the Study:

  • To investigate the association between CKD and various stroke outcomes across different stroke classifications.
  • To identify specific in-hospital complications linked to CKD in ischemic, hemorrhagic, and other stroke types.

Main Methods:

  • Utilized data from 594,681 stroke patients from the Universal Coverage Health Security Insurance Scheme Database in Thailand.
  • Employed binary logistic regression to analyze the relationship between CKD and outcomes including in-hospital mortality, prolonged stay, pneumonia, sepsis, respiratory failure, and myocardial infarction.

Main Results:

  • CKD significantly increased the odds of in-hospital mortality across all stroke types (ischemic, hemorrhagic, and other).
  • In ischemic stroke, CKD correlated with higher odds of pneumonia, sepsis, respiratory failure, and myocardial infarction.
  • Associations varied in hemorrhagic and other stroke types, with CKD linked to increased sepsis and respiratory failure, and decreased pneumonia in hemorrhagic stroke.

Conclusions:

  • CKD is consistently associated with poor outcomes and increased mortality in all stroke subtypes.
  • CKD should be integrated into stroke prognosis and used to identify high-risk patients for in-hospital complications.

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