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Dynamic Prediction of Mortality Using Longitudinally Measured Pediatric Sequential Organ Failure Assessment Scores: A

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Longitudinal pediatric Sequential Organ Failure Assessment (pSOFA) scores, tracking changes over time, significantly improve mortality prediction in critically ill children compared to static admission scores. This dynamic approach offers a more accurate assessment of patient condition and response to treatment in the PICU.

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Area of Science:

  • Pediatric critical care medicine
  • Clinical informatics
  • Biostatistics

Background:

  • The pediatric Sequential Organ Failure Assessment (pSOFA) score is crucial for assessing illness severity and predicting mortality in critically ill children.
  • Current static pSOFA assessments at a single point in time fail to capture patient condition changes and treatment response during Pediatric Intensive Care Unit (PICU) stays.
  • A dynamic approach is needed to improve the accuracy of mortality prediction in pediatric critical care.

Purpose of the Study:

  • To evaluate the performance of longitudinal (time-varying) pSOFA scores for predicting 30-day in-hospital mortality in critically ill children.
  • To compare the predictive accuracy of dynamic pSOFA scoring with the traditional static admission pSOFA score.

Main Methods:

  • Retrospective cohort study involving 9146 patients admitted to a quaternary 40-bed PICU between 2015 and 2021 with at least 24 hours of ICU stay.
  • Daily pSOFA scores were calculated up to 30 days or until discharge/death.
  • A joint longitudinal and time-to-event data model was used for dynamic mortality prediction, with the dataset randomly split into training (75%) and validation (25%) subsets, utilizing repeated stratified cross-validations.

Main Results:

  • The study dataset included 9146 patients with a 30-day in-hospital mortality rate of 2.6%.
  • Longitudinal pSOFA scores from the first 3 days improved the dynamic area under the curve (AUC) for mortality prediction by 6.4% compared to admission scores.
  • Utilizing longitudinal pSOFA scores from the first 5 days further enhanced AUC by 9.2% for mortality prediction between days 5 and 30.

Conclusions:

  • Longitudinal pSOFA scores demonstrate superior accuracy in predicting mortality among PICU patients compared to the traditional admission-day pSOFA score.
  • The dynamic application of pSOFA scores holds significant potential for more precise and continuous evaluation of patient conditions in critical care settings.
  • This study highlights the value of dynamic risk assessment in pediatric critical care for improved patient outcomes.