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Automated Calculator for the Pediatric Sequential Organ Failure Assessment Score: Development and External Validation in a Single-Center 7-Year Cohort, 2015-2021.

Authors :
Akhondi-Asl A
Luchette M
Mehta NM
Geva A
Source :
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies [Pediatr Crit Care Med] 2024 May 01; Vol. 25 (5), pp. 434-442. Date of Electronic Publication: 2024 Feb 07.
Publication Year :
2024

Abstract

Objectives: The pediatric Sequential Organ Failure Assessment (pSOFA) score summarizes severity of organ dysfunction and can be used to predict in-hospital mortality. Manual calculation of the pSOFA score is time-consuming and prone to human error. An automated method that is open-source, flexible, and scalable for calculating the pSOFA score directly from electronic health record data is desirable.<br />Design: Single-center, retrospective cohort study.<br />Setting: Quaternary 40-bed PICU.<br />Patients: All patients admitted to the PICU between 2015 and 2021 with ICU stay of at least 24 hours.<br />Interventions: None.<br />Measurements and Main Results: We used 77 records to evaluate the automated score. The automated algorithm had an overall accuracy of 97%. The algorithm calculated the respiratory component of two cases incorrectly. An expert human annotator had an initial accuracy of 75% at the patient level and 95% at the component level. An untrained human annotator with general clinical research experience had an overall accuracy of 16% and component-wise accuracy of 67%. Weighted kappa for agreement between the automated method and the expert annotator's initial score was 0.92 (95% CI, 0.88-0.95), and between the untrained human annotator and the automated score was 0.50 (95% CI, 0.36-0.61). Data from 9146 patients (in-hospital mortality 3.6%) were included to validate externally the discriminability of the automated pSOFA score. The admission-day pSOFA score had an area under the receiver operating characteristic curve of 0.79 (95% CI, 0.77-0.82).<br />Conclusions: The developed automated algorithm calculates pSOFA score with high accuracy and is more accurate than a trained expert rater and nontrained data abstracter. pSOFA's performance for predicting in-hospital mortality was lower in our cohort than it was for the originally derived score.<br />Competing Interests: The authors have disclosed that they do not have any potential conflicts of interest.<br /> (Copyright © 2024 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Details

Language :
English
ISSN :
1529-7535
Volume :
25
Issue :
5
Database :
MEDLINE
Journal :
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
Publication Type :
Academic Journal
Accession number :
38695692
Full Text :
https://doi.org/10.1097/PCC.0000000000003458