Role of age as eligibility criterion for ECMO in patients with ARDS: meta-regression analysis.


Journal

Critical care (London, England)
ISSN: 1466-609X
Titre abrégé: Crit Care
Pays: England
ID NLM: 9801902

Informations de publication

Date de publication:
27 Aug 2024
Historique:
received: 27 04 2024
accepted: 20 08 2024
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 27 8 2024
Statut: epublish

Résumé

Age as an eligibility criterion for V-V ECMO is widely debated and varies among healthcare institutions. We examined how age relates to mortality in patients undergoing V-V ECMO for ARDS. Systematic review and meta-regression of clinical studies published between 2015 and June 2024. Studies involving at least 6 ARDS patients treated with V-V ECMO, with specific data on ICU and/or hospital mortality and patient age were included. The search strategy was executed in PubMed, limited to English-language. COVID-19 and non-COVID-19 populations were analyzed separately. Meta-regressions of mortality outcomes on age were performed using gender, BMI, SAPS II, APACHE II, Charlson comorbidity index or SOFA as covariates. In non-COVID ARDS, the meta-regression of 173 studies with 56,257 participants showed a significant positive association between mean age and ICU/hospital mortality. In COVID-19 ARDS, a significant relationship between mean age and ICU mortality, but not hospital mortality, was found in 103 studies with 21,255 participants. Sensitivity analyses confirmed these findings, highlighting a linear relationship between age and mortality in both groups. For each additional year of mean age, ICU mortality increased by 1.2% in non-COVID ARDS and 1.9% in COVID ARDS. The relationship between age and ICU mortality is linear and shows no inflection point. Consequently, no age cut-off can be recommended for determining patient eligibility for V-V ECMO.

Sections du résumé

BACKGROUND BACKGROUND
Age as an eligibility criterion for V-V ECMO is widely debated and varies among healthcare institutions. We examined how age relates to mortality in patients undergoing V-V ECMO for ARDS.
METHODS METHODS
Systematic review and meta-regression of clinical studies published between 2015 and June 2024. Studies involving at least 6 ARDS patients treated with V-V ECMO, with specific data on ICU and/or hospital mortality and patient age were included. The search strategy was executed in PubMed, limited to English-language. COVID-19 and non-COVID-19 populations were analyzed separately. Meta-regressions of mortality outcomes on age were performed using gender, BMI, SAPS II, APACHE II, Charlson comorbidity index or SOFA as covariates.
RESULTS RESULTS
In non-COVID ARDS, the meta-regression of 173 studies with 56,257 participants showed a significant positive association between mean age and ICU/hospital mortality. In COVID-19 ARDS, a significant relationship between mean age and ICU mortality, but not hospital mortality, was found in 103 studies with 21,255 participants. Sensitivity analyses confirmed these findings, highlighting a linear relationship between age and mortality in both groups. For each additional year of mean age, ICU mortality increased by 1.2% in non-COVID ARDS and 1.9% in COVID ARDS.
CONCLUSIONS CONCLUSIONS
The relationship between age and ICU mortality is linear and shows no inflection point. Consequently, no age cut-off can be recommended for determining patient eligibility for V-V ECMO.

Identifiants

pubmed: 39192302
doi: 10.1186/s13054-024-05074-z
pii: 10.1186/s13054-024-05074-z
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

278

Subventions

Organisme : Italian Ministry of University and Research - Progetti di ricerca di Rilevante Interesse Nazionale (PRIN) 2017
ID : 2017J4BE7A

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Tommaso Tonetti (T)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy. tommaso.tonetti@unibo.it.
Anesthesiology and General Intensive Care Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy. tommaso.tonetti@unibo.it.

Rossana Di Staso (R)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy.

Laura Bambini (L)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy.

Martina Bordini (M)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy.

Rosanna D'Albo (R)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy.

Domenico Nocera (D)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy.

Irene Sbaraini Zernini (IS)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum - University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy.

Ilaria Turriziani (I)

Cardio-Thoracic and Vascular Anesthesia and Intensive Care Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Luciana Mascia (L)

Dipartimento di Medicina Sperimentale, Campus Ecotekne University of Salento, Lecce, Italy.

Paola Rucci (P)

Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum - University of Bologna, Bologna, Italy.

V Marco Ranieri (VM)

Department of Anesthesia and Intensive Care Medicine, Università degli studi di Bari "Aldo Moro", Ospedale Policlinico, Bari, Italy.

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