Estimated dead space fraction and the ventilatory ratio are associated with mortality in early ARDS.

ARDS Acute respiratory distress syndrome Dead space Intensive care unit Mortality Prediction Prognostication Respiratory dead space Ventilatory ratio

Journal

Annals of intensive care
ISSN: 2110-5820
Titre abrégé: Ann Intensive Care
Pays: Germany
ID NLM: 101562873

Informations de publication

Date de publication:
21 Nov 2019
Historique:
received: 29 07 2019
accepted: 05 11 2019
entrez: 23 11 2019
pubmed: 23 11 2019
medline: 23 11 2019
Statut: epublish

Résumé

Indirect indices for measuring impaired ventilation, such as the estimated dead space fraction and the ventilatory ratio, have been shown to be independently associated with an increased risk of mortality. This study aimed to compare various methods for dead space estimation and the ventilatory ratio in patients with acute respiratory distress syndrome (ARDS) and to determine their independent values for predicting death at day 30. The present study is a post hoc analysis of a prospective observational cohort study of ICUs of two tertiary care hospitals in the Netherlands. Individual patient data from 940 ARDS patients were analyzed. Estimated dead space fraction and the ventilatory ratio at days 1 and 2 were significantly higher among non-survivors (p < 0.01). Dead space fraction calculation using the estimate from physiological variables [V Estimated methods for dead space calculation and the ventilatory ratio during the early course of ARDS are associated with mortality at day 30 and add statistically significant but limited improvement in the predictive accuracy to indices of oxygenation and respiratory system mechanics at the second day of mechanical ventilation.

Sections du résumé

BACKGROUND BACKGROUND
Indirect indices for measuring impaired ventilation, such as the estimated dead space fraction and the ventilatory ratio, have been shown to be independently associated with an increased risk of mortality. This study aimed to compare various methods for dead space estimation and the ventilatory ratio in patients with acute respiratory distress syndrome (ARDS) and to determine their independent values for predicting death at day 30. The present study is a post hoc analysis of a prospective observational cohort study of ICUs of two tertiary care hospitals in the Netherlands.
RESULTS RESULTS
Individual patient data from 940 ARDS patients were analyzed. Estimated dead space fraction and the ventilatory ratio at days 1 and 2 were significantly higher among non-survivors (p < 0.01). Dead space fraction calculation using the estimate from physiological variables [V
CONCLUSIONS CONCLUSIONS
Estimated methods for dead space calculation and the ventilatory ratio during the early course of ARDS are associated with mortality at day 30 and add statistically significant but limited improvement in the predictive accuracy to indices of oxygenation and respiratory system mechanics at the second day of mechanical ventilation.

Identifiants

pubmed: 31754866
doi: 10.1186/s13613-019-0601-0
pii: 10.1186/s13613-019-0601-0
pmc: PMC6872683
doi:

Types de publication

Journal Article

Langues

eng

Pagination

128

Investigateurs

Friso M de Beer (FM)
Lieuwe D Bos (LD)
Gerie J Glas (GJ)
Janneke Horn (J)
Arie J Hoogendijk (AJ)
Roosmarijn T van Hooijdonk (RT)
Mischa A Huson (MA)
Tom van der Poll (T)
Brendon Scicluna (B)
Laura R Schouten (LR)
Marcus J Schultz (MJ)
Marleen Straat (M)
Lonneke A van Vught (LA)
Luuk Wieske (L)
Maryse A Wiewel (MA)
Esther Witteveen (E)
Marc J Bonten (MJ)
Olaf L Cremer (OL)
Jos F Frencken (JF)
Kirsten van de Groep (K)
Peter M Klein Klouwenberg (PM)
Maria E Koster-Brouwer (ME)
David S Ong (DS)
Meri R Varkila (MR)
Diana M Verboom (DM)

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Auteurs

Luis Morales-Quinteros (L)

Intensive Care Unit, Hospital Universitari Sagrat Cor, Grupo Quironsalud, Carrer de Viladomat, 288, 08029, Barcelona, Spain. luchomq2077@gmail.com.

Marcus J Schultz (MJ)

Department of Intensive Care, Academic Medical Center, Amsterdam, The Netherlands.
Laboratory of Experimental Intensive Care and Anesthesiology, Academic Medical Center, Amsterdam, The Netherlands.
Mahidol Oxford Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.

Josep Bringué (J)

Critical Care Center, ParcTaulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain.
CIBER Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.

Carolyn S Calfee (CS)

Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA.
Department of Anesthesia, University of California, San Francisco, San Francisco, CA, USA.
Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA.

Marta Camprubí (M)

Critical Care Center, ParcTaulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain.

Olaf L Cremer (OL)

Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.

Janneke Horn (J)

Department of Intensive Care, Academic Medical Center, Amsterdam, The Netherlands.

Tom van der Poll (T)

Center of Experimental and Molecular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Division of Infectious Diseases, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Pratik Sinha (P)

Department of Medicine, Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, CA, USA.
Department of Anesthesia, University of California, San Francisco, San Francisco, CA, USA.

Antonio Artigas (A)

Intensive Care Unit, Hospital Universitari Sagrat Cor, Grupo Quironsalud, Carrer de Viladomat, 288, 08029, Barcelona, Spain.
Critical Care Center, ParcTaulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí I3PT, Universitat Autònoma de Barcelona, Sabadell, Spain.
CIBER Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.

Lieuwe D Bos (LD)

Department of Intensive Care, Academic Medical Center, Amsterdam, The Netherlands.
Laboratory of Experimental Intensive Care and Anesthesiology, Academic Medical Center, Amsterdam, The Netherlands.
Department of Respiratory Medicine, Academic Medical Center, Amsterdam, The Netherlands.

Classifications MeSH