The association between ACLS guideline deviations and outcomes from in-hospital cardiac arrest

Resuscitation. 2020 Aug:153:65-70. doi: 10.1016/j.resuscitation.2020.05.042. Epub 2020 Jun 2.

Abstract

Aim of study: In hospital cardiac arrests occur at a rate of 1-5 per 1000 admissions and are associated with significant morbidity and mortality. We aimed to investigate the association between deviations from ACLS protocol and patient outcomes.

Methods: This retrospective review was conducted at a single academic medical center. Data was collected on patients who suffered cardiac arrest from December 2015-November 2019. Our primary endpoint was return of spontaneous circulation. Secondary endpoints included survival to discharge and discharge with favorable neurological outcomes.

Results: 108 patients were included, 74 obtained return of spontaneous circulation, and 23 survived to discharge. The median number of deviations from the ACLS protocol per event in ROSC group was 1 (IQR 0-3) compared to 6.5 (IQR 4-12) in non-ROSC group (p < .0001). The probability of obtaining ROSC was 96% with 0-2 deviations per event, 59% with 2-5 deviations per event, and 11% with greater than 6 deviations per event (p < .0001). The median deviation per event in patients who survived to discharge was 0 (IQR 0-1) vs. 3 (IQR 1-6, p < .0001) in those who did not. Lastly, survival to discharge with a favorable neurological outcome may be associated we less deviations per event (p < .006).

Conclusion: Our findings highlight the importance of adherence to the ACLS protocol. We found that deviations from the algorithm are associated with decreased rates of ROSC and survival to discharge. Additionally, higher rates of protocol deviations may be associated with higher rates of neurological impairments after cardiac arrest.

Keywords: Adrenaline; Advanced cardiac life support; Cardiac arrest; Cardiopulmonary resuscitation; Guideline; In-hospital cardiac arrest; Sudden.

MeSH terms

  • Cardiopulmonary Resuscitation*
  • Heart Arrest* / therapy
  • Hospitals
  • Humans
  • Patient Discharge
  • Retrospective Studies