Association between the Clinical Frailty Scale and Neurological Outcomes in Out-of-Hospital Cardiac Arrest: A Retrospective Study

  • 0Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, 100 Taipei.

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Summary

This summary is machine-generated.

Premorbid frailty, measured by the Clinical Frailty Scale (CFS), significantly impacts neurological outcomes after out-of-hospital cardiac arrest (OHCA). Lower CFS scores (≤4) are linked to better recovery, highlighting frailty as a key prognostic factor.

Area Of Science

  • Critical Care Medicine
  • Neurology
  • Geriatrics

Background

  • Frailty is a state of increased vulnerability to stressors.
  • Premorbid frailty assessment is crucial for predicting patient outcomes.
  • Out-of-hospital cardiac arrest (OHCA) presents significant challenges for neurological recovery.

Purpose Of The Study

  • To investigate the association between premorbid frailty and neurological prognosis in OHCA patients.
  • To determine the predictive value of the Clinical Frailty Scale (CFS) for neurological outcomes post-OHCA.
  • To identify factors influencing neurological recovery after resuscitation from OHCA.

Main Methods

  • Retrospective analysis of 595 adult OHCA patients from 2006-2020.
  • Frailty assessed using the Clinical Frailty Scale (CFS).
  • Primary outcome: favorable neurological performance (CPC score ≤2) at discharge.

Main Results

  • Lower CFS scores (3.2 ± 1.5) were associated with favorable neurological outcomes compared to poor outcomes (4.5 ± 1.8).
  • Favorable outcomes decreased as CFS scores increased.
  • Independent predictors of worse neurological outcomes included CFS >4, age >70, malignancy history, high epinephrine dose, and low arterial pH.

Conclusions

  • Clinical Frailty Scale (CFS) values ≤4 are independently associated with favorable neurological outcomes after OHCA.
  • Frailty is a significant independent predictor of neurological recovery post-cardiac arrest.
  • Early assessment of frailty may aid in prognostication and patient management strategies.