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Age as a Mortality Predictor in ECPR Patients. | LitMetric

Age as a Mortality Predictor in ECPR Patients.

Medicina (Kaunas)

2nd Department of Medicine-Department of Cardiovascular Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital, 12 808 Prague, Czech Republic.

Published: September 2024

AI Article Synopsis

  • Extracorporeal cardiopulmonary resuscitation (ECPR) utilizes extracorporeal membrane oxygenation (ECMO) to support patients experiencing refractory cardiac arrest, with survival outcomes heavily influenced by the patient's age.* -
  • Younger patients typically show better survival and neurological outcomes with ECPR, stressing the importance of age in clinical decision-making alongside other factors.* -
  • The review highlights disparities in survival rates between in-hospital and out-of-hospital cardiac arrests and discusses the potential of artificial intelligence in creating predictive models, while also raising ethical questions related to age-based treatment.*

Article Abstract

Extracorporeal cardiopulmonary resuscitation (ECPR) is an advanced technique using extracorporeal membrane oxygenation (ECMO) to support patients with refractory cardiac arrest. Age significantly influences ECPR outcomes, with younger patients generally experiencing better survival and neurological outcomes due to many aspects. This review explores the impact of age on ECPR effectiveness, emphasizing the need to consider age alongside other clinical factors in patient selection. Survival rates differ notably between in-hospital (IHCA) and out-of-hospital cardiac arrest (OHCA), highlighting the importance of rapid intervention. The potential of artificial intelligence to develop predictive models for ECPR outcomes is discussed, aiming to improve decision-making. Ethical considerations around age-based treatment decisions are also addressed. This review advocates for a balanced approach to ECPR, integrating clinical and ethical perspectives to optimize patient outcomes across all age groups.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11433963PMC
http://dx.doi.org/10.3390/medicina60091444DOI Listing

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