Escalation of Oxygenation Modalities and Mortality in Critically Ill Immunocompromised Patient With Acute Hypoxemic Respiratory Failure: A Clustering Analysis of a Prospectively Multicenter, Multinational Dataset
Language English Country United States Media print-electronic
Document type Journal Article, Multicenter Study, Observational Study
PubMed
40013850
DOI
10.1097/ccm.0000000000006600
PII: 00003246-990000000-00474
Knihovny.cz E-resources
- Keywords
- acute, intensive care unit, neoplasm, noninvasive ventilation, outcome, respiratory failure,
- MeSH
- Hypoxia * therapy mortality MeSH
- Immunocompromised Host * MeSH
- Intensive Care Units statistics & numerical data MeSH
- Critical Illness mortality therapy MeSH
- Middle Aged MeSH
- Humans MeSH
- Hospital Mortality MeSH
- Oxygen Inhalation Therapy * methods MeSH
- Prospective Studies MeSH
- Respiratory Insufficiency * therapy mortality MeSH
- Aged MeSH
- Cluster Analysis MeSH
- Respiration, Artificial * methods statistics & numerical data MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Observational Study MeSH
OBJECTIVES: Acute hypoxemic respiratory failure in immunocompromised patients remains the leading cause of admission to the ICU, with high case fatality. The response to the initial oxygenation strategy may be predictive of outcome. This study aims to assess the response to the evolutionary profiles of oxygenation strategy and the association with survival. DESIGN: Post hoc analysis of EFRAIM study with a nonparametric longitudinal clustering technique (longitudinal K-mean). SETTING AND PATIENTS: Multinational, observational prospective cohort study performed in critically ill immunocompromised patients admitted for an acute respiratory failure. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 1547 patients who did not require invasive mechanical ventilation (iMV) at ICU admission were included. Change in ventilatory support was assessed and three clusters of change in oxygenation modality over time were identified. Cluster A: 12.3% iMV requirement and high survival rate, n = 717 patients (46.3%); cluster B: 32.9% need for iMV, 97% ICU mortality, n = 499 patients (32.3%); and cluster C: 37.5% need for iMV, 0.3% ICU mortality, n = 331 patients (21.4%). These clusters demonstrated a high discrimination. After adjustment for confounders, clusters B and C were independently associated with need for iMV (odds ratio [OR], 9.87; 95% CI, 7.26-13.50 and OR, 19.8; 95% CI, 13.7-29.1). CONCLUSIONS: This study identified three distinct highly performing clusters of response to initial oxygenation strategy, which reliably predicted the need for iMV requirement and hospital mortality.
Agostino Gemelli University Hospital Università Cattolica del Sacro Cuore Rome Italy
Anesthesiology Department CHU Nîmes University of Nîmes Montpellier Nimes France
Department of Critical Care King's College Hospital NHS Foundation Trust London United Kingdom
Department of Intensive Care Copenhagen University Hospital Rigshospitalet Copenhagen Denmark
Department of Intensive Care Hôpital Erasme Université Libre de Bruxelles Brussels Belgium
Department of Intensive Care Hospital Copa d'Or Rio de Janeiro Brazil
Department of Intensive Care Hospital Santa Rita Santa Casa de Misericordia Porte Allegre Brazil
Department of Medical Intensive Care Medicine University Hospital of Angers Angers France
Division of Pulmonary and Critical Care Penn State University College of Medicine Hershey PA
Hospital Clinic IDIBAPS Universidad de Barcelona Ciberes Barcelona Spain
Infectious Area Vall d'Hebron Institute of Research Barcelona Spain
Medical ICU Nantes University Hospital Nantes France
Medical Intensive Care Unit Hôpital Cochin APHP Centre and Université de Paris Paris France
Medical Intensive Care Unit La Source Hospital CHR Orléans Orléans France
Medical Intensive Care Unit Montpellier University Hospital Montpellier France
Medical Surgical Intensive Care Unit Andre Mignot Hospital Versailles France
Pulmonary and Critical Care Medicine Mayo Clinic Rochester MN
The Department of Intensive Care Medicine Radboud University Medical Center Nijmegen The Netherlands
See more in PubMed
Harpaz R, Dahl RM, Dooling KL: Prevalence of immunosuppression among US adults, 2013. JAMA. 2016; 316:2547–2548
Azoulay E, Mokart D, Kouatchet A, et al.: Acute respiratory failure in immunocompromised adults. Lancet Respir Med. 2019; 7:173–186
Darmon M, Bourmaud A, Georges Q, et al.: Changes in critically ill cancer patients’ short-term outcome over the last decades: Results of systematic review with meta-analysis on individual data. Intensive Care Med. 2019; 45:977–987
Jong AD, Calvet L, Lemiale V, et al.: The challenge of avoiding intubation in immunocompromised patients with acute respiratory failure. Expert Rev Respir Med. 2018; 12:867–880
Hilbert G, Gruson D, Vargas F, et al.: Noninvasive ventilation in immunosuppressed patients with pulmonary infiltrates, fever, and acute respiratory failure. N Engl J Med. 2001; 344:481–487
Frat J-P, Ragot S, Girault C, et al.; REVA network: Effect of non-invasive oxygenation strategies in immunocompromised patients with severe acute respiratory failure: A post-hoc analysis of a randomised trial. Lancet Respir Med. 2016; 4:646–652
Coudroy R, Frat J-P, Ehrmann S, et al.; REVA Network: High-flow nasal oxygen therapy alone or with non-invasive ventilation in immunocompromised patients admitted to ICU for acute hypoxemic respiratory failure: The randomised multicentre controlled FLORALI-IM protocol. BMJ Open. 2019; 9:e029798
Lemiale V, Mokart D, Resche-Rigon M, et al.; Groupe de Recherche en Réanimation Respiratoire du patient d’Onco-Hématologie (GRRR-OH): Effect of noninvasive ventilation vs oxygen therapy on mortality among immunocompromised patients with acute respiratory failure: A randomized clinical trial. JAMA. 2015; 314:1711–1719
Mauri T, Wang Y-M, Dalla Corte F, et al.: Nasal high flow: Physiology, efficacy and safety in the acute care setting, a narrative review. Open Access Emerg Med. 2019; 11:109–120
Mauri T, Turrini C, Eronia N, et al.: Physiologic effects of high-flow nasal cannula in acute hypoxemic respiratory failure. Am J Respir Crit Care Med. 2017; 195:1207–1215
Azoulay E, Lemiale V, Mokart D, et al.: Effect of high-flow nasal oxygen vs standard oxygen on 28-day mortality in immunocompromised patients with acute respiratory failure. JAMA. 2018; 320:2099–2107
Azoulay E, Pickkers P, Soares M, et al.; Efraim investigators and the Nine-I study group: Acute hypoxemic respiratory failure in immunocompromised patients: The Efraim multinational prospective cohort study. Intensive Care Med. 2017; 43:1808–1819
Contejean A, Lemiale V, Resche-Rigon M, et al.: Increased mortality in hematological malignancy patients with acute respiratory failure from undetermined etiology: A Groupe de Recherche en Réanimation Respiratoire en Onco-Hématologie (Grrr-OH) study. Ann Intensive Care. 2016; 6:102
Dumas G, Lemiale V, Rathi N, et al.: Survival in immunocompromised patients ultimately requiring invasive mechanical ventilation: A pooled individual patient data analysis. Am J Respir Crit Care Med. 2021; 204:187–196
Bauer PR, Gajic O, Nanchal R, et al.; ICON Investigators (Supplemental Appendix 1): Association between timing of intubation and outcome in critically ill patients: A secondary analysis of the ICON audit. J Crit Care. 2017; 42:1–5
Kang BJ, Koh Y, Lim C-M, et al.: Failure of high-flow nasal cannula therapy may delay intubation and increase mortality. Intensive Care Med. 2015; 41:623–632
Elmer J, Jones BL, Nagin DS: Comparison of parametric and nonparametric methods for outcome prediction using longitudinal data after cardiac arrest. Resuscitation. 2020; 148:152–160
Den Teuling NGP, Pauws SC, van den Heuvel ER: A comparison of methods for clustering longitudinal data with slowly changing trends. Commun Stat Simul Comput. 2023; 52:621–648
Elsensohn M-H, Klich A, Ecochard R, et al.: A graphical method to assess distribution assumption in group-based trajectory models. Stat Methods Med Res. 2016; 25:968–982
Genolini C, Pingault JB, Driss T, et al.: KmL3D: A non-parametric algorithm for clustering joint trajectories. Comput Methods Programs Biomed. 2013; 109:104–111
Groeger JS, White P, Nierman DM, et al.: Outcome for cancer patients requiring mechanical ventilation. J Clin Oncol. 1999; 17:991–997
Azoulay E, Thiéry G, Chevret S, et al.: The prognosis of acute respiratory failure in critically ill cancer patients. Medicine (Baltim). 2004; 83:360–370
Azoulay E, Lemiale V, Mokart D, et al.: Acute respiratory distress syndrome in patients with malignancies. Intensive Care Med. 2014; 40:1106–1114
Cortegiani A, Madotto F, Gregoretti C, et al.; LUNG SAFE Investigators and the ESICM Trials Group: Immunocompromised patients with acute respiratory distress syndrome: Secondary analysis of the LUNG SAFE database. Crit Care. 2018; 22:157
Mokart D, Darmon M, Resche-Rigon M, et al.: Prognosis of neutropenic patients admitted to the intensive care unit. Intensive Care Med. 2015; 41:296–303
Georges Q, Azoulay E, Mokart D, et al.: Influence of neutropenia on mortality of critically ill cancer patients: Results of a meta-analysis on individual data. Crit Care. 2018; 22:326
Antonelli M, Conti G, Bufi M, et al.: Noninvasive ventilation for treatment of acute respiratory failure in patients undergoing solid organ transplantation: A randomized trial. JAMA. 2000; 283:235–241
Orvain C, Beloncle F, Hamel J-F, et al.: Allogeneic stem cell transplantation recipients requiring intensive care: Time is of the essence. Ann Hematol. 2018; 97:1601–1609
Frat J-P, Ricard J-D, Quenot J-P, et al.; FLORALI-2 study group: Non-invasive ventilation versus high-flow nasal cannula oxygen therapy with apnoeic oxygenation for preoxygenation before intubation of patients with acute hypoxaemic respiratory failure: A randomised, multicentre, open-label trial. Lancet Respir Med. 2019; 7:303–312
Laffey JG, Bellani G, Pham T, et al.; LUNG SAFE Investigators and the ESICM Trials Group: Potentially modifiable factors contributing to outcome from acute respiratory distress syndrome: The LUNG SAFE study. Intensive Care Med. 2016; 42:1865–1876
Delclaux C, L’Her E, Alberti C, et al.: Treatment of acute hypoxemic nonhypercapnic respiratory insufficiency with continuous positive airway pressure delivered by a face mask: A randomized controlled trial. JAMA. 2000; 284:2352–2360
Hraiech S, Alingrin J, Dizier S, et al.: Time to intubation is associated with outcome in patients with community-acquired pneumonia. PLoS One. 2013; 8:e74937
Adda M, Coquet I, Darmon M, et al.: Predictors of noninvasive ventilation failure in patients with hematologic malignancy and acute respiratory failure. Crit Care Med. 2008; 36:2766–2772
Bellani G, Laffey JG, Pham T, et al.: Noninvasive ventilation of patients with acute respiratory distress syndrome. Insights from the LUNG SAFE study. Am J Respir Crit Care Med. 2016; 195:67–77
Demoule A, Chevret S, Carlucci A, et al.; oVNI Study Group; REVA Network (Research Network in Mechanical Ventilation): Changing use of noninvasive ventilation in critically ill patients: Trends over 15 years in francophone countries. Intensive Care Med. 2016; 42:82–92
Levy MM, Macias WL, Vincent J-L, et al.: Early changes in organ function predict eventual survival in severe sepsis. Crit Care Med. 2005; 33:2194–2201
Erdem H, Kocak-Tufan Z, Yilmaz O, et al.: The interrelations of radiologic findings and mechanical ventilation in community acquired pneumonia patients admitted to the intensive care unit: A multicentre retrospective study. Ann Clin Microbiol Antimicrob. 2014; 13:5
Lisboa T, Blot S, Waterer GW, et al.: Radiologic progression of pulmonary infiltrates predicts a worse prognosis in severe community-acquired pneumonia than bacteremia. Chest. 2009; 135:165–172
Demoule A, Girou E, Richard J-C, et al.: Increased use of noninvasive ventilation in French intensive care units. Intensive Care Med. 2006; 32:1747–1755
Darmon M, Azoulay E, Fulgencio J-P, et al.: Procedure volume is one determinant of centre effect in mechanically ventilated patients. Eur Respir J. 2011; 37:364–370