Literature DB >> 30778758

Comparison of Reverse Triage with National Early Warning Score, Sequential Organ Failure Assessment and Charlson Comorbidity Index to classify medical inpatients of an Italian II level hospital according to their resource's need.

Valeria Caramello1, Giulia Marulli2, Giuseppe Reimondo3, Fausto Fanto'4, Adriana Boccuzzi2.   

Abstract

Resource allocation in our overcrowded hospitals would require classification of inpatients according to the severity of illness, the evolving risk and the clinical complexity. Reverse triage (RT) is a method used in disasters to identify inpatients according to their use of hospital resources. The aim of this observational prospective study is to evaluate the use of RT in medical inpatients of an Italian Hospital and to compare the RT score with National Early Warning Score, Sequential Organ Failure Assessment and Charlson Comorbidity Index. Cluster sampling was performed on high dependency unit (HDU), geriatrics (Ger) and internal medicine (IM) wards. We calculate RT, NEWS, SOFA and CCI from inpatient charts. Length of stay (LOS), transfer to a higher level of care, death and discharge date were collected after 30 days. We obtained demographics, comorbidities, severity and clinical complexity of 260 inpatients. We highlighted differences in NEWS, SOFA and CCI in the three divisions. On the contrary RT score was uniformly high (median 7), with 85% of patients with RT = 8. NEWS, SOFA and CCI were higher in patients with higher RT score. We used the sum of the interventions listed by RT (RT sum) as a proxy of the level of care needed. RT-sum showed moderate correlation with NEWS (r = 0.52 Spearman, p < 0.001). RT-sum was the highest in HDU, related to the evolving severity of HDU patients. Ger patients that showed the highest CCI score (with all patients in the CCI ≥ 3 category) had the second highest RT-sum. RT score showed similar values in the majority of the inpatients regardless of differences in NEWS, SOFA and CCI in different ward subgroups. RT-sum is related both to evolving severity (NEWS) and to clinical complexity (CCI). RT and NEWS could predict inpatient level of care and resource need associated with CCI.

Entities:  

Keywords:  CCI; Inpatient disposition; NEWS; Resource allocation; Reverse triage; SOFA

Mesh:

Year:  2019        PMID: 30778758     DOI: 10.1007/s11739-019-02049-9

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  33 in total

Review 1.  Reverse triage: more than just another method.

Authors:  Gwen Pollaris; Marc Sabbe
Journal:  Eur J Emerg Med       Date:  2016-08       Impact factor: 2.799

2.  Using 'reverse triage' to create hospital surge capacity: Royal Darwin Hospital's response to the Ashmore Reef disaster.

Authors:  Peter S Satterthwaite; Carol J Atkinson
Journal:  Emerg Med J       Date:  2010-10-28       Impact factor: 2.740

Review 3.  The ability of early warning scores (EWS) to detect critical illness in the prehospital setting: A systematic review.

Authors:  Teresa A Williams; Hideo Tohira; Judith Finn; Gavin D Perkins; Kwok M Ho
Journal:  Resuscitation       Date:  2016-02-22       Impact factor: 5.262

4.  The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine.

Authors:  J L Vincent; R Moreno; J Takala; S Willatts; A De Mendonça; H Bruining; C K Reinhart; P M Suter; L G Thijs
Journal:  Intensive Care Med       Date:  1996-07       Impact factor: 17.440

5.  Pediatric Reverse Triage-Uncomfortable but Real Decision Making for Community Preparedness.

Authors:  Frederick M Burkle
Journal:  JAMA Pediatr       Date:  2017-04-03       Impact factor: 16.193

6.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

7.  Individualizing and optimizing the use of early warning scores in acute medical care for deteriorating hospitalized patients.

Authors:  Muge Capan; Julie S Ivy; Thomas Rohleder; Joel Hickman; Jeanne M Huddleston
Journal:  Resuscitation       Date:  2015-01-15       Impact factor: 5.262

8.  Creation of surge capacity by early discharge of hospitalized patients at low risk for untoward events.

Authors:  Gabor D Kelen; Melissa L McCarthy; Chadd K Kraus; Ru Ding; Edbert B Hsu; Guohua Li; Judy B Shahan; James J Scheulen; Gary B Green
Journal:  Disaster Med Public Health Prep       Date:  2009-06       Impact factor: 1.385

9.  Variables associated with unplanned general adult ICU admission in hospitalised patients: protocol for a systematic review.

Authors:  James Malycha; Tim Bonnici; Katarina Sebekova; Tatjana Petrinic; Duncan Young; Peter Watkinson
Journal:  Syst Rev       Date:  2017-03-28

10.  Inpatient disposition classification for the creation of hospital surge capacity: a multiphase study.

Authors:  Gabor D Kelen; Chadd K Kraus; Melissa L McCarthy; Eric Bass; Edbert B Hsu; Guohua Li; James J Scheulen; Judy B Shahan; Justin D Brill; Gary B Green
Journal:  Lancet       Date:  2006-12-02       Impact factor: 202.731

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  1 in total

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