Clinical decision aids for chest pain in the emergency department: identifying low-risk patients

William Alley1, Simon A Mahler1

  • 1Department of Emergency Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC, USA.

Insights

Accurate diagnosis of acute coronary syndrome (ACS) in chest pain patients is crucial. This review compares chest pain decision aids to identify ACS cases and low-risk patients for safe discharge.

Area of Science:

  • Emergency Medicine
  • Cardiology
  • Clinical Decision Support

Background:

  • Chest pain is a common emergency department complaint, with acute coronary syndrome (ACS) posing significant morbidity and mortality risks.
  • Atypical ACS presentations and extensive workups contribute to diagnostic challenges and healthcare costs.
  • Effective risk stratification is essential for timely diagnosis and appropriate patient management.

Purpose of the Study:

  • To review and compare various chest pain decision aids for risk-stratifying patients in the emergency department.
  • To evaluate the performance of different decision aids in identifying acute coronary syndrome (ACS) and low-risk patients.
  • To guide healthcare providers in selecting the most suitable decision aid for their clinical practice.

Main Methods:

  • Review of established and contemporary chest pain decision aids, including TIMI, GRACE, ASPECT, ADAPT, NACPR, and HEART scores.
  • Analysis of the development and validation of these tools in both diagnosed and undifferentiated chest pain populations.
  • Comparative assessment of the merits and limitations of each decision aid.

Main Results:

  • Early prognostic aids like TIMI and GRACE scores were adapted for undifferentiated chest pain.
  • Newer tools such as ASPECT, ADAPT, NACPR, and HEART scores show improved performance in undifferentiated chest pain.
  • Each decision aid offers distinct advantages and disadvantages for clinical application.

Conclusions:

  • Selecting the appropriate chest pain decision aid is critical for optimizing ACS diagnosis and patient care in the emergency department.
  • Decision aids that accurately identify ACS and effectively stratify low-risk patients can streamline workups and reduce unnecessary testing.
  • Understanding the relative merits and limitations of various tools empowers providers to tailor diagnostic strategies to their specific clinical setting.

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