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Patterns of Organ Dysfunction in Critically Ill Children Based on PODIUM Criteria
L Nelson Sanchez-Pinto1, Melania M Bembea2, Reid Wd Farris3
1Departments of Pediatrics (Critical Care) and Preventive Medicine (Health & Biomedical Informatics), Northwestern University Feinberg School of Medicine and Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
Insights
The Pediatric Organ Dysfunction Information Update Mandate (PODIUM) criteria show promise for identifying organ dysfunction in critically ill children using electronic health records (EHRs). These criteria demonstrated good prognostic performance for in-hospital mortality, comparable to existing standards.
Area of Science:
- Critical Care Medicine
- Pediatric Health
- Health Informatics
Background:
- Accurate identification of organ dysfunction is crucial for critically ill children.
- Existing criteria for pediatric organ dysfunction have limitations in electronic health record (EHR) data.
- The Pediatric Organ Dysfunction Information Update Mandate (PODIUM) criteria offer a potential alternative for EHR-based research.
Purpose of the Study:
- To evaluate the incidence, prognostic performance, and generalizability of PODIUM criteria using EHR data.
- To compare the performance of PODIUM criteria against the 2005 International Pediatric Sepsis Consensus Conference (IPSCC) criteria.
Main Methods:
- A retrospective observational cohort study included over 22,000 pediatric intensive care unit (PICU) admissions across two US medical centers (2010-2018).
- Organ dysfunction was assessed using PODIUM and IPSCC criteria for each 24-hour period up to 28 days post-admission.
- The prognostic performance of both criteria for discriminating in-hospital mortality was analyzed.
Main Results:
- The cumulative incidence of PODIUM organ dysfunction ranged from 15% to 30%, with associated in-hospital mortality of 6% to 10%.
- The number of concurrent PODIUM organ dysfunctions showed good-to-excellent discrimination for in-hospital mortality (AUC 0.87-0.93).
- PODIUM criteria performed favorably compared to IPSCC criteria (AUC 0.84-0.92).
Conclusions:
- This study provides the first evaluation of PODIUM criteria in EHR databases, indicating their potential utility.
- PODIUM criteria appear promising for epidemiologic and clinical research utilizing EHR data.
- Further research is needed to assess PODIUM criteria for data not routinely structured in EHRs.
Objectives:
The goal of this study was to determine the incidence, prognostic performance, and generalizability of the Pediatric Organ Dysfunction Information Update Mandate (PODIUM) organ dysfunction criteria using electronic health record (EHR) data. Additionally, we sought to compare the performance of the PODIUM criteria with the organ dysfunction criteria proposed by the 2005 International Pediatric Sepsis Consensus Conference (IPSCC).
Methods:
Retrospective observational cohort study of critically ill children at 2 medical centers in the United States between 2010 and 2018. We assessed prevalence of organ dysfunction based on the PODIUM and IPSCC criteria for each 24-hour period from admission to 28 days. We studied the prognostic performance of the criteria to discriminate in-hospital mortality.
Results:
Overall, 22 427 PICU admissions met inclusion criteria, and in-hospital mortality was 2.3%. The cumulative incidence of each PODIUM organ dysfunction ranged from 15% to 30%, with an in-hospital mortality of 6% to 10% for most organ systems. The number of concurrent PODIUM organ dysfunctions demonstrated good-to-excellent discrimination for in-hospital mortality (area under the curve 0.87-0.93 for day 1 through 28) and compared favorably to the IPSCC criteria (area under the curve 0.84-0.92, P < .001 to P = .06).
Conclusions:
We present the first evaluation of the PODIUM organ dysfunction criteria in 2 EHR databases. The use of the PODIUM organ dysfunction criteria appears promising for epidemiologic and clinical research studies using EHR data. More studies are needed to evaluate the PODIUM criteria that are not routinely collected in structured format in EHR databases.
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