Literature DB >> 30811318

Beyond Reporting Early Warning Score Sensitivity: The Temporal Relationship and Clinical Relevance of "True Positive" Alerts that Precede Critical Deterioration.

Meredith C Winter1, Sherri Kubis2, Christopher P Bonafide3,4,5.   

Abstract

BACKGROUND: Clinical deterioration is difficult to detect in hospitalized children. The pediatric Rothman Index (pRI) is an early warning score that incorporates vital signs, laboratory studies, and nursing assessments to generate deterioration alerts.
OBJECTIVES: (1) Evaluate the timing of pRI alerts and clinicians recognizing deterioration or escalating care prior to critical deterioration events (CDEs) and (2) determine whether the parameters triggering alerts were clinically related to deterioration.
DESIGN: CDEs are unplanned transfers to the intensive care unit with noninvasive ventilation, tracheal intubation, and/or vasopressor infusion in the 12 hours after transfer. Using one year of data from a large freestanding children's hospital without the pRI, we analyzed CDEs that would have been preceded by pRI alerts. We (1) compared the timing of pRI alerts to time-stamped notes describing changes in patient status and orders reflecting escalations of care and (2) identified score component(s) that caused alerts to trigger and determined whether these were clinically related to CDE etiology.
RESULTS: Fifty CDEs would have triggered pRI alertsif the pRI had been in use (sensitivity 68%). In 90% of CDEs, the first clinician note reflecting change in patient status and/or the first order reflecting escalation of care preceded the first pRI alert. All of the vital sign and laboratory components of the pRI and 51% of the nursing components were clinically related to the etiology of the CDE.
CONCLUSIONS: Evidence that clinicians were awareof deterioration preceded pRI alerts in most CDEs that generated alerts in the preceding 24 hours.

Entities:  

Year:  2019        PMID: 30811318     DOI: 10.12788/jhm.3066

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  3 in total

1.  Retrospective Observational Study of the Clinical Performance Characteristics of a Machine Learning Approach to Early Sepsis Identification.

Authors:  Raj Topiwala; Kanak Patel; Joan Twigg; Jane Rhule; Barry Meisenberg
Journal:  Crit Care Explor       Date:  2019-09-13

2.  Accuracy and Monitoring of Pediatric Early Warning Score (PEWS) Scores Prior to Emergent Pediatric Intensive Care Unit (ICU) Transfer: Retrospective Analysis.

Authors:  Rebecca L Kowalski; Laura Lee; Michael C Spaeder; J Randall Moorman; Jessica Keim-Malpass
Journal:  JMIR Pediatr Parent       Date:  2021-02-22

3.  A Vital Sign-Based Model to Predict Clinical Deterioration in Hospitalized Children.

Authors:  Anoop Mayampurath; Priti Jani; Yangyang Dai; Robert Gibbons; Dana Edelson; Matthew M Churpek
Journal:  Pediatr Crit Care Med       Date:  2020-09       Impact factor: 3.971

  3 in total

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