Stratification for Identification of Prognostic Categories In the Acute RESpiratory Distress Syndrome (SPIRES) Score.


Journal

Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501

Informations de publication

Date de publication:
01 10 2021
Historique:
pubmed: 15 7 2021
medline: 5 10 2021
entrez: 14 7 2021
Statut: ppublish

Résumé

To develop a scoring model for stratifying patients with acute respiratory distress syndrome into risk categories (Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score) for early prediction of death in the ICU, independent of the underlying disease and cause of death. A development and validation study using clinical data from four prospective, multicenter, observational cohorts. A network of multidisciplinary ICUs. One-thousand three-hundred one patients with moderate-to-severe acute respiratory distress syndrome managed with lung-protective ventilation. None. The study followed Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines for prediction models. We performed logistic regression analysis, bootstrapping, and internal-external validation of prediction models with variables collected within 24 hours of acute respiratory distress syndrome diagnosis in 1,000 patients for model development. Primary outcome was ICU death. The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score was based on patient's age, number of extrapulmonary organ failures, values of end-inspiratory plateau pressure, and ratio of Pao2 to Fio2 assessed at 24 hours of acute respiratory distress syndrome diagnosis. The pooled area under the receiver operating characteristic curve across internal-external validations was 0.860 (95% CI, 0.831-0.890). External validation in a new cohort of 301 acute respiratory distress syndrome patients confirmed the accuracy and robustness of the scoring model (area under the receiver operating characteristic curve = 0.870; 95% CI, 0.829-0.911). The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score stratified patients in three distinct prognostic classes and achieved better prediction of ICU death than ratio of Pao2 to Fio2 at acute respiratory distress syndrome onset or at 24 hours, Acute Physiology and Chronic Health Evaluation II score, or Sequential Organ Failure Assessment scale. The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score represents a novel strategy for early stratification of acute respiratory distress syndrome patients into prognostic categories and for selecting patients for therapeutic trials.

Identifiants

pubmed: 34259448
pii: 00003246-202110000-00033
doi: 10.1097/CCM.0000000000005142
doi:

Banques de données

ClinicalTrials.gov
['NCT00736892', 'NCT02288949', 'NCT02836444', 'NCT03145974']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e920-e930

Informations de copyright

Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

Déclaration de conflit d'intérêts

Dr. Villar has received a research grant from Maquet. Dr. Kacmarek serves as a consultant for Medtronic and Orange Med Inc. and received research grants from Medtronic and Orange Med Inc. Dr. Kacmarek’s institution received funding from Medtronic and Orange Medical. The remaining authors have disclosed that they do not have any potential conflicts of interest.

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Auteurs

Jesús Villar (J)

CIBER de Enfermedades Respiratorias, Instituto Salud Carlos III, Madrid, Spain.
Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.

Jesús M González-Martín (JM)

Division of Biostatistics, Research Unit, Hospital Universitario Dr. Negrín, Las Palmas, Spain.

Alfonso Ambrós (A)

Intensive Care Unit, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain.

Fernando Mosteiro (F)

Intensive Care Unit, Hospital Universitario A Coruña, La Coruña, Spain.

Domingo Martínez (D)

Intensive Care Unit, Hospital Universitario Virgen de Arrixaca, Murcia, Spain.

Lorena Fernández (L)

Intensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain.

Juan A Soler (JA)

Intensive Care Unit, Hospital Universitario Virgen de Arrixaca, Murcia, Spain.

Laura Parra (L)

Intensive Care Unit, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.

Rosario Solano (R)

Intensive Care Unit, Hospital Virgen de la Luz, Cuenca, Spain.

Marina Soro (M)

Department of Anesthesiology, Hospital Clínico Universitario de Valencia, Valencia, Spain.

Rafael Del Campo (R)

Intensive Care Unit, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain.

Raúl I González-Luengo (RI)

Intensive Care Unit, Complejo Asistencial Universitario de León, León, Spain.

Belén Civantos (B)

Intensive Care Unit, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.

Raquel Montiel (R)

Intensive Care Unit, Hospital Universitario NS de Candelaria, Santa Cruz de Tenerife, Spain.

Lidia Pita-García (L)

Intensive Care Unit, Hospital Universitario A Coruña, La Coruña, Spain.

Anxela Vidal (A)

Intensive Care Unit, Fundación Hospital Universitario Jiménez Díaz, Madrid, Spain.

José M Añón (JM)

CIBER de Enfermedades Respiratorias, Instituto Salud Carlos III, Madrid, Spain.
Intensive Care Unit, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain.

Carlos Ferrando (C)

CIBER de Enfermedades Respiratorias, Instituto Salud Carlos III, Madrid, Spain.
Department of Anesthesiology and Critical Care, Hospital Clinic, Institut D'investigació August Pi i Sunyer, Barcelona, Spain.

Francisco J Díaz-Domínguez (FJ)

Intensive Care Unit, Complejo Asistencial Universitario de León, León, Spain.

Juan M Mora-Ordoñez (JM)

Intensive Care Unit, Hospital Regional Universitario de Málaga Carlos Haya, Málaga, Spain.

M Mar Fernández (MM)

Intensive Care Unit, Hospital Universitario Mutua Terrassa, Terrassa, Barcelona, Spain.

Cristina Fernández (C)

Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.

Rosa L Fernández (RL)

CIBER de Enfermedades Respiratorias, Instituto Salud Carlos III, Madrid, Spain.
Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.

Pedro Rodríguez-Suárez (P)

Department of Thoracic Surgery, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain.

Ewout W Steyerberg (EW)

Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
Department of Public Health, Erasmus MC, Rotterdam, The Netherlands.

Robert M Kacmarek (RM)

Department of Respiratory Care, Massachusetts General Hospital, Boston, MA.
Department of Anesthesiology, Harvard University, Boston, MA.

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