Certainty and mortality prediction in critically ill children

J P Marcin1, R K Pretzlaff, M M Pollack

  • 1Department of Pediatrics, Section of Critical Care Medicine, University of California-Davis, UC Davis Children's Hospital, 2516 Stockton Boulevard, Sacramento, CA 95817, USA. jpmarcin@ucdavis.edu

Insights

Physician confidence in mortality predictions influences their stated prognosis. Less confident prognoses often fall in the intermediate range, impacting patient care decisions.

Area of Science:

  • Pediatric Critical Care Medicine
  • Clinical Decision-Making
  • Medical Prognostication

Background:

  • Physician's subjective mortality predictions are crucial for patient management in pediatric intensive care.
  • Understanding the interplay between prediction accuracy and confidence is vital for refining prognostic assessments.

Purpose of the Study:

  • To investigate the relationship between physician's subjective mortality predictions and their confidence levels in pediatric intensive care unit (ICU) patients.
  • To determine if confidence in prognostication varies with the predicted mortality risk.

Main Methods:

  • Prospective cohort study of pediatric ICU patients (<18 years).
  • Physicians provided mortality risk predictions and confidence levels within 24 hours of admission.
  • Median confidence levels were compared across different mortality risk prediction ranges.

Main Results:

  • Physicians expressed significantly less confidence in mortality predictions between 5% and 95%.
  • Predictions <5% and >95% were associated with higher confidence levels.
  • Physician experience correlated positively with increased confidence in prognostication.

Conclusions:

  • Physician confidence significantly impacts subjective mortality predictions, with lower confidence leading to intermediate risk assessments.
  • Assessing physician confidence alongside mortality predictions is essential for understanding potential biases in therapeutic planning.
  • Confidence levels in prognostic assessments may influence clinical decision-making and future patient outlooks.
Abstract

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