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The role of radiologic, clinical and biochemical parameters in prediction of stroke mortality

Abdullah Algin1, Ibrahim Inan

  • 1Department of Emergency Medicine, Adiyaman University Training and Research Hospital, Adiyaman, Turkey.

Neurosciences (Riyadh, Saudi Arabia)
|May 7, 2019
PubMed

Insights

Key stroke indicators like the National Institutes of Health Stroke Scale (NIHSS) and stroke volume significantly predict one-month mortality in acute ischemic cerebral infarction patients. Laboratory markers also offer prognostic value.

Area of Science:

  • Neurology
  • Biochemistry
  • Radiology

Background:

  • Stroke remains a leading cause of mortality and long-term disability worldwide.
  • Predicting short-term mortality in acute ischemic stroke is crucial for timely intervention and resource allocation.

Purpose of the Study:

  • To evaluate the predictive value of the National Institutes of Health Stroke Scale (NIHSS), stroke volume, and various biochemical and blood parameters for one-month mortality in stroke patients.
  • To identify key clinical, laboratory, and radiological markers that can aid in short-term prognosis assessment.

Main Methods:

  • Retrospective study involving 75 patients diagnosed with acute ischemic cerebral infarction.
  • Patients were categorized into two groups based on one-month mortality status.
  • Comparison of Glasgow Coma Scale, NIHSS, stroke volume, and blood parameters between the groups.

Main Results:

  • Glasgow Coma Scale, NIHSS, and stroke volume were statistically significant predictors of one-month mortality (p<0.005).
  • Biochemical markers including monocyte/HDL ratio, white blood cell count, neutrophils, calcium, and albumin also showed significant predictive value (p<0.05).
  • No significant differences were observed for other assessed parameters.

Conclusions:

  • Clinical, laboratory, and radiological findings individually contribute significantly to the short-term prognosis of stroke.
  • Integrated analysis of these parameters can enhance prognostic understanding, facilitating better disease management and potentially reducing mortality.
Abstract

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