Time to Awakening and Self-Fulfilling Prophecies After Cardiac Arrest

Crit Care MedPublished 8 Feb 2023Retrospective cohort study

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Authors' conclusion

Compared with traditional binary outcome prediction, censoring outcomes after WLST-N may reduce potential for bias and self-fulfilling prophecies.

Study context

Population: Comatose adults resuscitated from cardiac arrest at two academic medical centres (UPMC, UAB)29% awakened
Participants: 1,254 adults

Methodological detailsobservational, two academic medical centres, external validation, prediction model

As reported in the abstract

Group	Mean AUC, UPMC test sets	AUC, external validation (UAB)
Cox	0.93	0.83

Mean AUC, UPMC test sets0.93

AUC, external validation (UAB)0.83

Observational data: associations, not effects.

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Authors: Elmer J, Kurz MC, Coppler PJ, Steinberg A, DeMasi S, De-Arteaga M, et al.
All 11 authors
Elmer J, Kurz MC, Coppler PJ, Steinberg A, DeMasi S, De-Arteaga M, Simon N, Zadorozhny VI, Flickinger KL, Callaway CW, University of Pittsburgh Post-Cardiac Arrest Service
Journal: Critical Care Medicine
Published: 8 Feb 2023
DOI: 10.1097/ccm.0000000000005790
PubMed: 36752628

Cox model censoring after WLST-N vs logistic model treating failure to awaken after WLST-N as observed outcome

Cox: This model censored patients after WLST-N, considering subsequent potential for awakening to be unknown
Logistic: treated failure to awaken after WLST-N as a true observed outcome

Logistic predictions of awakening systematically more pessimistic than Cox-based predictions for patients at higher risk of WLST-N

Time to Awakening and Self-Fulfilling Prophecies After Cardiac Arrest. Crit Care Med. Published 8 February 2023. doi:10.1097/ccm.0000000000005790

Composed by AI from the published abstract and checked against it. How Briefs are made →