Validation of END-of-life ScorING-system to identify the dying patient: a prospective analysis.


Journal

BMC anesthesiology
ISSN: 1471-2253
Titre abrégé: BMC Anesthesiol
Pays: England
ID NLM: 100968535

Informations de publication

Date de publication:
09 03 2020
Historique:
received: 24 11 2019
accepted: 04 03 2020
entrez: 14 3 2020
pubmed: 14 3 2020
medline: 6 7 2021
Statut: epublish

Résumé

The "END-of-Life ScorING-System" (ENDING-S) was previously developed to identify patients at high-risk of dying in the ICU and to facilitate a practical integration between palliative and intensive care. The aim of this study is to prospectively validate ENDING-S in a cohort of long-term critical care patients. Adult long-term ICU patients (with a length-of-stay> 4 days) were considered for this prospective multicenter observational study. ENDING-S and SOFA score were calculated daily and evaluated against the patient's ICU outcome. The predictive properties were evaluated through a receiver operating characteristic (ROC) analysis. Two hundred twenty patients were enrolled for this study. Among these, 21.46% died during the ICU stay. ENDING-S correctly predicted the ICU outcome in 71.4% of patients. Sensitivity, specificity, positive and negative predictive values associated with the previously identified ENDING-S cut-off of 11.5 were 68.1, 72.3, 60 and 89.3%, respectively. ROC-AUC for outcome prediction was 0.79 for ENDING-S and 0.88 for SOFA in this cohort. ENDING-S, while not as accurately as in the pilot study, demonstrated acceptable discrimination properties in identifying long-term ICU patients at very high-risk of dying. ENDING-S may be a useful tool aimed at facilitating a practical integration between palliative, end-of-life and intensive care. Clinicaltrials.gov Identifier: NCT02875912; First registration August 4, 2016.

Sections du résumé

BACKGROUND
The "END-of-Life ScorING-System" (ENDING-S) was previously developed to identify patients at high-risk of dying in the ICU and to facilitate a practical integration between palliative and intensive care. The aim of this study is to prospectively validate ENDING-S in a cohort of long-term critical care patients.
MATERIALS AND METHODS
Adult long-term ICU patients (with a length-of-stay> 4 days) were considered for this prospective multicenter observational study. ENDING-S and SOFA score were calculated daily and evaluated against the patient's ICU outcome. The predictive properties were evaluated through a receiver operating characteristic (ROC) analysis.
RESULTS
Two hundred twenty patients were enrolled for this study. Among these, 21.46% died during the ICU stay. ENDING-S correctly predicted the ICU outcome in 71.4% of patients. Sensitivity, specificity, positive and negative predictive values associated with the previously identified ENDING-S cut-off of 11.5 were 68.1, 72.3, 60 and 89.3%, respectively. ROC-AUC for outcome prediction was 0.79 for ENDING-S and 0.88 for SOFA in this cohort.
CONCLUSIONS
ENDING-S, while not as accurately as in the pilot study, demonstrated acceptable discrimination properties in identifying long-term ICU patients at very high-risk of dying. ENDING-S may be a useful tool aimed at facilitating a practical integration between palliative, end-of-life and intensive care.
TRIAL REGISTRATION
Clinicaltrials.gov Identifier: NCT02875912; First registration August 4, 2016.

Identifiants

pubmed: 32164567
doi: 10.1186/s12871-020-00979-y
pii: 10.1186/s12871-020-00979-y
pmc: PMC7068991
doi:

Banques de données

ClinicalTrials.gov
['NCT02875912']

Types de publication

Journal Article Multicenter Study Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

63

Subventions

Organisme : Ente Cassa di Risparmio di Firenze
ID : 2014.0679
Pays : International
Organisme : Cox fundation
ID : NA
Pays : International
Organisme : Philip and Irene Toll Gage Foundation
ID : NA
Pays : International

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Auteurs

Gianluca Villa (G)

Section of Anesthesiology, Intensive Care and Pain Therapy, Departmnt of Health Sciences, University of Florence, Florence, Italy. gianluca.villa@unifi.it.
Department of Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla,3, 50134, Florence, Italy. gianluca.villa@unifi.it.

Timothy Amass (T)

Department of Medicine, Division of Pulmonary Critical Care & Sleep, Brown University, Providence, RI, USA.

Rosa Giua (R)

Department of Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla,3, 50134, Florence, Italy.

Iacopo Lanini (I)

Section of Anesthesiology, Intensive Care and Pain Therapy, Departmnt of Health Sciences, University of Florence, Florence, Italy.

Cosimo Chelazzi (C)

Department of Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla,3, 50134, Florence, Italy.

Lorenzo Tofani (L)

Section of Anesthesiology, Intensive Care and Pain Therapy, Departmnt of Health Sciences, University of Florence, Florence, Italy.

Rory McFadden (R)

Department of Internal Medicine, Palliative Medicine Section, Rush University Medical Center, Chicago, IL, USA.

A Raffaele De Gaudio (AR)

Section of Anesthesiology, Intensive Care and Pain Therapy, Departmnt of Health Sciences, University of Florence, Florence, Italy.
Department of Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla,3, 50134, Florence, Italy.

Sean OMahony (S)

Department of Internal Medicine, Palliative Medicine Section, Rush University Medical Center, Chicago, IL, USA.

Mitchell M Levy (MM)

Department of Medicine, Division of Pulmonary Critical Care & Sleep, Brown University, Providence, RI, USA.

Stefano Romagnoli (S)

Section of Anesthesiology, Intensive Care and Pain Therapy, Departmnt of Health Sciences, University of Florence, Florence, Italy.
Department of Anesthesia and Intensive Care, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla,3, 50134, Florence, Italy.

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