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 Article Swipe
Carolina Secreto
,
Dara Chean
,
Andry Van de Louw
,
Achille Kouatchet
,
Philippe R. Bauer
,
Marco Cerrano
,
Étienne Lengliné
,
Colombe Saillard
,
Laurent Chow‐Chine
,
Anders Perner
,
Peter Pickkers
,
Márcio Soares
,
Jordi Rello
,
Frédéric Pène
,
Virginie Lemiale
,
Michaël Darmon
,
Sofiane Fodil
,
Ignacio Martín‐Loeches
,
Sangeeta Mehta
,
Peter Schellongowski
,
Élie Azoulay
,
Djamel Mokart
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1186/s13613-023-01172-3
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1186/s13613-023-01172-3
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 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 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 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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s13613-023-01172-3
- https://annalsofintensivecare.springeropen.com/counter/pdf/10.1186/s13613-023-01172-3
- OA Status
- gold
- Cited By
- 9
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386390728
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386390728Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s13613-023-01172-3Digital Object Identifier
- Title
-
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 studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-02Full publication date if available
- Authors
-
Carolina Secreto, Dara Chean, Andry Van de Louw, Achille Kouatchet, Philippe R. Bauer, Marco Cerrano, Étienne Lengliné, Colombe Saillard, Laurent Chow‐Chine, Anders Perner, Peter Pickkers, Márcio Soares, Jordi Rello, Frédéric Pène, Virginie Lemiale, Michaël Darmon, Sofiane Fodil, Ignacio Martín‐Loeches, Sangeeta Mehta, Peter Schellongowski, Élie Azoulay, Djamel MokartList of authors in order
- Landing page
-
https://doi.org/10.1186/s13613-023-01172-3Publisher landing page
- PDF URL
-
https://annalsofintensivecare.springeropen.com/counter/pdf/10.1186/s13613-023-01172-3Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://annalsofintensivecare.springeropen.com/counter/pdf/10.1186/s13613-023-01172-3Direct OA link when available
- Concepts
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Medicine, Post-hoc analysis, Intensive care unit, Anesthesiology, Respiratory failure, Intensive care medicine, Acute respiratory failure, Emergency medicine, Myeloid leukemia, Prospective cohort study, Internal medicine, Mechanical ventilation, AnesthesiaTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 5Per-year citation counts (last 5 years)
- References (count)
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36Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.including | 237 |
| abstract_inverted_index.intensive | 11 |
| abstract_inverted_index.isolated, | 212 |
| abstract_inverted_index.mortality | 57, 101, 108 |
| abstract_inverted_index.patients, | 304 |
| abstract_inverted_index.patients; | 232 |
| abstract_inverted_index.pulmonary | 138, 142, 282 |
| abstract_inverted_index.secondly, | 68 |
| abstract_inverted_index.subgroups | 74 |
| abstract_inverted_index.symptoms, | 284 |
| abstract_inverted_index.syndromes | 301 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.associated | 59, 106, 172, 258, 269 |
| abstract_inverted_index.background | 278 |
| abstract_inverted_index.biological | 196 |
| abstract_inverted_index.clinicians | 313 |
| abstract_inverted_index.consisting | 218 |
| abstract_inverted_index.frequently | 194 |
| abstract_inverted_index.identified | 182, 297 |
| abstract_inverted_index.management | 316 |
| abstract_inverted_index.mortality. | 261 |
| abstract_inverted_index.population | 78 |
| abstract_inverted_index.prognostic | 26, 308 |
| abstract_inverted_index.short-term | 29 |
| abstract_inverted_index.Conclusions | 262 |
| abstract_inverted_index.cluster”, | 206, 217, 236 |
| abstract_inverted_index.involvement | 139 |
| abstract_inverted_index.multi-organ | 240 |
| abstract_inverted_index.patient’s | 277 |
| abstract_inverted_index.performance | 111 |
| abstract_inverted_index.pneumopathy | 149 |
| abstract_inverted_index.prospective | 43 |
| abstract_inverted_index.respiratory | 3 |
| abstract_inverted_index.strategies. | 317 |
| abstract_inverted_index.“leukemic | 205 |
| abstract_inverted_index.(performance | 279 |
| abstract_inverted_index.infiltration | 143 |
| abstract_inverted_index.leukostasis, | 141 |
| abstract_inverted_index.multicenter, | 41 |
| abstract_inverted_index.multivariate | 250 |
| abstract_inverted_index.radiological | 198, 227, 285 |
| abstract_inverted_index.significance | 309 |
| abstract_inverted_index.symptomatic, | 220 |
| abstract_inverted_index.vasopressors | 130, 290 |
| abstract_inverted_index.“pulmonary | 216 |
| abstract_inverted_index.independently | 105, 257 |
| abstract_inverted_index.international | 42 |
| abstract_inverted_index.involvement), | 283 |
| abstract_inverted_index.“inflammatory | 235 |
| abstract_inverted_index.immunocompromised | 47, 88, 231 |
| abstract_inverted_index.leukemia-specific | 137 |
| abstract_inverted_index.oxygen-requiring, | 222 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 10 |
| institutions_distinct_count | 22 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.90177927 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |