Characteristics and outcomes of patients with acute myeloid leukemia admitted to intensive care unit with acute respiratory failure: a post-hoc analysis of a prospective multicenter study.

Acute myeloid leukemia Acute respiratory failure Cluster analysis Hospital mortality Intensive care unit

Journal

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

Informations de publication

Date de publication:
02 Sep 2023
Historique:
received: 31 05 2023
accepted: 14 08 2023
medline: 4 9 2023
pubmed: 4 9 2023
entrez: 2 9 2023
Statut: epublish

Résumé

Acute respiratory failure (ARF) is the leading cause of intensive care unit (ICU) admission in patients with Acute Myeloid Leukemia (AML) and data on prognostic factors affecting short-term outcome are needed. This is a post-hoc analysis of a multicenter, international prospective cohort study on immunocompromised patients with ARF admitted to ICU. We evaluated hospital mortality and associated risk factors in patients with AML and ARF; secondly, we aimed to define specific subgroups within our study population through a cluster analysis. Overall, 201 of 1611 immunocompromised patients with ARF had AML and were included in the analysis. Hospital mortality was 46.8%. Variables independently associated with mortality were ECOG performance status ≥ 2 (OR = 2.79, p = 0.04), cough (OR = 2.94, p = 0.034), use of vasopressors (OR = 2.79, p = 0.044), leukemia-specific pulmonary involvement [namely leukostasis, pulmonary infiltration by blasts or acute lysis pneumopathy (OR = 4.76, p = 0.011)] and liver SOFA score (OR = 1.85, p = 0.014). Focal alveolar chest X-ray pattern was associated with survival (OR = 0.13, p = 0.001). We identified 3 clusters, that we named on the basis of the most frequently clinical, biological and radiological features found in each cluster: a "leukemic cluster", with high-risk AML patients with isolated, milder ARF; a "pulmonary cluster", consisting of symptomatic, highly oxygen-requiring, severe ARF with diffuse radiological findings in heavily immunocompromised patients; a clinical "inflammatory cluster", including patients with multi-organ failures in addition to ARF. When included in the multivariate analysis, cluster 2 and 3 were independently associated with hospital mortality. Among AML patients with ARF, factors associated with a worse outcome are related to patient's background (performance status, leukemic pulmonary involvement), symptoms, radiological findings, the need for vasopressors and the liver SOFA score. We identified three specific ARF syndromes in AML patients, which showed a prognostic significance and could guide clinicians to optimize management strategies.

Sections du résumé

BACKGROUND BACKGROUND
Acute respiratory failure (ARF) is the leading cause of intensive care unit (ICU) admission in patients with Acute Myeloid Leukemia (AML) and data on prognostic factors affecting short-term outcome are needed.
METHODS METHODS
This is a post-hoc analysis of a multicenter, international prospective cohort study on immunocompromised patients with ARF admitted to ICU. We evaluated hospital mortality and associated risk factors in patients with AML and ARF; secondly, we aimed to define specific subgroups within our study population through a cluster analysis.
RESULTS RESULTS
Overall, 201 of 1611 immunocompromised patients with ARF had AML and were included in the analysis. Hospital mortality was 46.8%. Variables independently associated with mortality were ECOG performance status ≥ 2 (OR = 2.79, p = 0.04), cough (OR = 2.94, p = 0.034), use of vasopressors (OR = 2.79, p = 0.044), leukemia-specific pulmonary involvement [namely leukostasis, pulmonary infiltration by blasts or acute lysis pneumopathy (OR = 4.76, p = 0.011)] and liver SOFA score (OR = 1.85, p = 0.014). Focal alveolar chest X-ray pattern was associated with survival (OR = 0.13, p = 0.001). We identified 3 clusters, that we named on the basis of the most frequently clinical, biological and radiological features found in each cluster: a "leukemic cluster", with high-risk AML patients with isolated, milder ARF; a "pulmonary cluster", consisting of symptomatic, highly oxygen-requiring, severe ARF with diffuse radiological findings in heavily immunocompromised patients; a clinical "inflammatory cluster", including patients with multi-organ failures in addition to ARF. When included in the multivariate analysis, cluster 2 and 3 were independently associated with hospital mortality.
CONCLUSIONS CONCLUSIONS
Among AML patients with ARF, factors associated with a worse outcome are related to patient's background (performance status, leukemic pulmonary involvement), symptoms, radiological findings, the need for vasopressors and the liver SOFA score. We identified three specific ARF syndromes in AML patients, which showed a prognostic significance and could guide clinicians to optimize management strategies.

Identifiants

pubmed: 37658994
doi: 10.1186/s13613-023-01172-3
pii: 10.1186/s13613-023-01172-3
pmc: PMC10474995
doi:

Types de publication

Journal Article

Langues

eng

Pagination

79

Informations de copyright

© 2023. La Société de Réanimation de Langue Francaise = The French Society of Intensive Care (SRLF).

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Auteurs

Carolina Secreto (C)

Division of Haematology, Department of Oncology, A.O.U. Città Della Salute e della Scienza di Torino, Turin, Italy. carolina.secreto@gmail.com.
Réanimation Polyvalente et Département d'Anesthésie et de Réanimation, Institut Paoli-Calmettes, Marseille, France. carolina.secreto@gmail.com.

Dara Chean (D)

Médecine Intensive et Réanimation, APHP, Hôpital Saint Louis, Paris Cité University, Paris, France.

Andry van de Louw (A)

Division of Pulmonary and Critical Care, Penn State University College of Medicine, Hershey, PA, USA.

Achille Kouatchet (A)

Department of Medical Intensive Care Medicine, University Hospital of Angers, Angers, France.

Philippe Bauer (P)

Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.

Marco Cerrano (M)

Division of Haematology, Department of Oncology, A.O.U. Città Della Salute e della Scienza di Torino, Turin, Italy.

Etienne Lengliné (E)

Hématologie Adulte, Hôpital Saint-Louis, Université Paris Diderot, Paris, France.

Colombe Saillard (C)

Hematology Department, Institut Paoli-Calmettes, Marseille, France.

Laurent Chow-Chine (L)

Réanimation Polyvalente et Département d'Anesthésie et de Réanimation, Institut Paoli-Calmettes, Marseille, France.

Anders Perner (A)

Department of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

Peter Pickkers (P)

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

Marcio Soares (M)

Department of Critical Care and Graduate Program in Translational Medicine, D'Or Institute for Research and Education, Programa de Pós-Graduação Em Clínica Médica, Rio De Janeiro, Brazil.

Jordi Rello (J)

Vall d'Hebron Institute of Research, Barcelona, Spain.
CHU Nîmes, Université de Nîmes-Montpellier, Nîmes, France.

Frédéric Pène (F)

Medical ICU, Cochin Hospital, Assistance Publique-Hôpitaux de Paris and University Paris Descartes, Paris, France.

Virginie Lemiale (V)

Medical Intensive Care Unit, APHP, Hôpital Saint-Louis and Paris Diderot Sorbonne University, Paris, France.

Michael Darmon (M)

Medical Intensive Care Unit, APHP, Hôpital Saint-Louis and Paris Diderot Sorbonne University, Paris, France.

Sofiane Fodil (S)

Medical Intensive Care Unit, APHP, Hôpital Saint-Louis and Paris Diderot Sorbonne University, Paris, France.

Ignacio Martin-Loeches (I)

Department of Intensive Care Medicine, St. James's Hospital, Dublin, Ireland.

Sangeeta Mehta (S)

Sinai Health System and University of Toronto, Toronto, ON, Canada.

Peter Schellongowski (P)

Department of Medicine I, Medical University of Vienna, Vienna, Austria.

Elie Azoulay (E)

Medical Intensive Care Unit, APHP, Hôpital Saint-Louis and Paris Diderot Sorbonne University, Paris, France.

Djamel Mokart (D)

Réanimation Polyvalente et Département d'Anesthésie et de Réanimation, Institut Paoli-Calmettes, Marseille, France.

Classifications MeSH