Literature DB >> 22700020

Comparison of severity of illness scores to physician clinical judgment for potential use in pediatric critical care triage.

Jill S Sweney1, W Bradley Poss, Colin K Grissom, Heather T Keenan.   

Abstract

OBJECTIVE: A pediatric triage tool is needed during times of resource scarcity to optimize critical care utilization. This study compares the modified sequential organ failure assessment score (M-SOFA), the Pediatric Early Warning System (PEWS) score, the Pediatric Risk of Admission Score II (PRISA-II), and physician judgment to predict the need for pediatric intensive care unit (PICU) interventions.
METHODS: This retrospective cohort study evaluates three illness severity scores for all non-neonatal pediatric patients transported and admitted to a single center in 2006. The outcome of interest was receipt of a PICU intervention (mechanical ventilation, acute dialysis, depressed consciousness, or persistent hypotension). Predictive ability was assessed using receiver operating curves (ROCs).
RESULTS: Of 752 patients admitted to the hospital, 287 received a PICU intervention. Median scores for all tools were significantly higher for children receiving an intervention than for those who did not. ROCs showed PEWS had the least discriminatory ability, followed by PRISA-II and pediatric M-SOFA. No value of the pediatric M-SOFA produced both positive and negative predictive values better than clinician judgment.
CONCLUSIONS: No score had a clinically acceptable discriminate ability to predict patients who required a PICU intervention from those who did not. Physician judgment outperformed all three triage scores.

Entities:  

Mesh:

Year:  2012        PMID: 22700020     DOI: 10.1001/dmp.2012.17

Source DB:  PubMed          Journal:  Disaster Med Public Health Prep        ISSN: 1935-7893            Impact factor:   1.385


  5 in total

1.  Performance of a Clinical Decision Support Tool to Identify PICU Patients at High Risk for Clinical Deterioration.

Authors:  Maya Dewan; Naveen Muthu; Eric Shelov; Christopher P Bonafide; Patrick Brady; Daniela Davis; Eric S Kirkendall; Dana Niles; Robert M Sutton; Danielle Traynor; Ken Tegtmeyer; Vinay Nadkarni; Heather Wolfe
Journal:  Pediatr Crit Care Med       Date:  2020-02       Impact factor: 3.624

2.  Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children.

Authors:  Haijun Zhai; Patrick Brady; Qi Li; Todd Lingren; Yizhao Ni; Derek S Wheeler; Imre Solti
Journal:  Resuscitation       Date:  2014-05-09       Impact factor: 5.262

3.  Cohort profile of the Biomarkers of Acute Serious Illness in Children (BASIC) study: a prospective multicentre cohort study in critically ill children.

Authors:  Yael Feinstein; Jennifer Claire Walker; Mark J Peters; Simon Nadel; Nazima Pathan; Naomi Edmonds; Jethro Herberg; Myrsini Kaforou; Victoria Wright; Michael Levin; Padmanabhan Ramnarayan
Journal:  BMJ Open       Date:  2018-11-08       Impact factor: 2.692

4.  Paediatric health care access in community health centres is associated with survival for critically ill children who undergo inter-facility transport: A province-wide observational study.

Authors:  Janice A Tijssen; Teresa To; Laurie J Morrison; Fuad Alnaji; Russell D MacDonald; Cynthia Cupido; Kyong-Soon Lee; Christopher S Parshuram
Journal:  Paediatr Child Health       Date:  2019-04-26       Impact factor: 2.253

Review 5.  Clinically Excellent Use of the Electronic Health Record: Review.

Authors:  Leah Wolfe; Margaret Smith Chisolm; Fuad Bohsali
Journal:  JMIR Hum Factors       Date:  2018-10-05
  5 in total

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