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[Postoperative delirium in the elderly].

Michał Wróbel1,2, Maciej Wołkowiecki2, Anna Janocha3

  • 1Politechnika Wrocławska, Wrocław, Polska (Wydział Medyczny, Katedra Nauk Klinicznych Zabiegowych).

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Summary
This summary is machine-generated.

Postoperative delirium (POD) in the elderly is a cognitive disorder influenced by age, health conditions, and pre-existing issues. Early risk assessment and identification of POD markers are crucial for timely intervention and reduced complications.

Keywords:
cognitive impairmentelderlypostoperative deliriumpsychomotor disordersrisk factorstriggers

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Area of Science:

  • Geriatric Medicine
  • Neuroscience
  • Anesthesiology

Context:

  • Postoperative delirium (POD) is a significant concern in elderly patients, characterized by attention and consciousness disorders with cognitive impairment.
  • Existing literature highlights numerous risk factors, including advanced age, sensory deficits, alcohol use, and pre-existing cognitive and mood disorders.
  • Cardiovascular diseases, anemia, diabetes, and renal failure are strongly associated with an elevated risk of developing POD.

Purpose:

  • To synthesize current knowledge on postoperative delirium (POD) in the elderly, focusing on risk factors, prediction, and assessment methods.
  • To review established and emerging markers for delirium, including inflammatory and brain tissue damage indicators.
  • To explore novel analytical approaches like machine learning and artificial intelligence in POD risk factor analysis.

Summary:

  • Identified risk factors for POD include older age, sensory impairment, alcohol consumption, pre-existing cognitive and emotional disorders, and depression.
  • Perioperative risk assessment tools and novel markers (inflammatory, brain damage, blood-brain barrier) aid in estimating POD risk.
  • Machine learning and AI offer advanced methods for analyzing POD risk factors, complementing traditional assessments.

Impact:

  • Early recognition of POD risk enables timely preventive measures, potentially reducing the incidence and severity of postoperative cognitive dysfunction.
  • Understanding diverse risk factors and utilizing advanced assessment tools can improve patient outcomes and reduce healthcare burdens.
  • Continued research into definitive prediction and prevention strategies for POD is essential.