| Title: |
Clinical assessment of the criticality index – dynamic, a machine learning prediction model of future care needs in pediatric inpatients |
| Authors: |
Patel, Anita K.; Olson, Taylor; Ray, Christopher; Trujillo-Rivera, Eduardo A.; Morizono, Hiroki; Pollack, Murray M. |
| Contributors: |
Irles, Claudine; national Institute for Child Health and Human Development |
| Source: |
PLOS One ; volume 20, issue 4, page e0320586 ; ISSN 1932-6203 |
| Publisher Information: |
Public Library of Science (PLoS) |
| Publication Year: |
2025 |
| Collection: |
PLOS Publications (via CrossRef) |
| Description: |
Objective To assess patient characteristics and care factors that are associated with correct and incorrect predictions of future care locations (ICU vs. non-ICU) by the Criticality Index-Dynamic (CI-D), with the goal of enhancing the CI-D. Design Retrospective structured chart review Participants All pediatric inpatients admitted from January` 1 st 2018 – February 29 th 2020 through the emergency department. Main outcome(s) and measure(s) Patient characteristics and care factors associated with correct (true positives, true negatives) and incorrect predictions (false positives, false negatives) of future care locations (ICU vs. non-ICU) by the CI-D were assessed. Results Of the 3,018, patients, 139 transitioned from non-ICU locations to ICU care; 482 were transferred from the ICU to non-ICU care locations, and 2,400 remained in non-ICU care locations. For the ICU Prediction group, the false negative patients were older, more frequently male, and had longer hospital and ICU lengths of stay compared to the true positive patients. The significant differences in the ICU Prediction group for false negative compared to the true positive patients included a less frequent: primary diagnosis of respiratory failure, use of high flow nasal canula, hourly cardio-respiratory vital signs prior to transfer to the ICU, and neurologic vital signs after transfer from the ICU. For the ICU Discharge prediction group, false positive patients were more frequently: younger, had a primary diagnosis of respiratory failure, more frequently received respiratory support after discharge from the ICU, and received less frequent neurological vital signs prior to transfer from the ICU. For the Non-transfer prediction category, demographics and clinical variables did not differ between the true negative and false positive prediction groups. Conclusion and relevance We conducted the first comprehensive analysis via structured chart reviews of patient characteristics and care factors that are associated with correct and incorrect predictions of ... |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1371/journal.pone.0320586 |
| Availability: |
https://doi.org/10.1371/journal.pone.0320586; https://dx.plos.org/10.1371/journal.pone.0320586 |
| Rights: |
http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.993DDB3C |
| Database: |
BASE |