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A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
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Left-digit bias in out-hospital cardiac arrest: The JCS-ReSS study

Takahiro Suzuki1, Atsushi Mizuno1,2,3, Daisuke Yoneoka4

  • 1Department of Cardiovascular Medicine, St. Luke's International Hospital, Tokyo, Japan.

Plos One
|August 23, 2024
PubMed

Insights

This study found no evidence that the left-digit bias influences medical decisions in out-of-hospital cardiac arrest (OHCA) cases. Age-related cognitive biases did not affect bystander CPR or physician-led advanced cardiac life support.

Area of Science:

  • Medical decision-making
  • Cognitive biases
  • Emergency medicine

Background:

  • The left-digit bias (LDB) is a cognitive bias potentially affecting medical practitioners' decisions.
  • Its impact on out-of-hospital cardiac arrest (OHCA) care is under-researched.

Purpose of the Study:

  • To investigate the influence of age-related left-digit bias on medical decision-making in OHCA patients.
  • To examine if LDB affects bystander cardiopulmonary resuscitation (BCPR) and prehospital advanced cardiac life support (ACLS).

Main Methods:

  • Retrospective analysis of OHCA cases from the All-Japan Utstein Registry (2005-2020).
  • Utilized regression discontinuity methodology to assess changes in BCPR and ACLS at age thresholds (60, 70, 80, 90).

Main Results:

  • No significant discontinuities in BCPR (chest compressions, ventilation, AED use) by family members were observed at age thresholds.
  • No discontinuities in paramedic or physician interventions (chest compressions, airway management, AED use, ACLS) were found at any age threshold.

Conclusions:

  • The study found no evidence that age-related left-digit bias impacts medical decision-making in OHCA patients.
  • BCPR and prehospital ACLS appear unaffected by LDB in this cohort.
Abstract

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