Quantifying physician's bias to terminate resuscitation. The TERMINATOR study

Deciding on "termination of resuscitation" (TOR) is a dilemma for any physician facing cardiac arrest. Due to the lack of evidence-based criteria and scarcity of the existing guidelines, crucial arbitration to interrupt resuscitation remains at the practitioner's discretion.

Evaluate with a quantitative method the existence of a physician internal bias to terminate resuscitation.

We extracted data concerning OHCAs managed between January 2013 and September 2021 from the RéAC registry. We conducted a statistical analysis using generalized linear mixed models to model the binary TOR decision. Utstein data were used as fixed effect terms and a random effect term to model physicians personal bias towards TOR.

5,144 OHCAs involving 173 physicians were included. The cohort's average age was 69 (SD 18) and was composed of 62% of women. Median no-flow and low-flow times were respectively 6 (IQR [0,12]) and 18 (IQR [10,26]) minutes. Our analysis showed a significant (p < 0.001) physician effect on TOR decision. Odds ratio for the "doctor effect" was 2.48 [2.13-2.94] for a doctor one SD above the mean, lower than that of dependency for activities of daily living (41.18 [24.69-65.50]), an age of more than 85 years (38.60 [28.67-51.08]), but higher than that of oncologic, cardiovascular, respiratory disease or no-flow duration between 10 to 20 minutes (1.60 [1.26-2.00]).

We demonstrate the existence of individual physician biases in their decision about TOR. The impact of this bias is greater than that of a no-flow duration lasting ten to twenty minutes. Our results plead in favor developing tools and guidelines to guide physicians in their decision.