Literature DB >> 32758000

High-Flow Nasal Cannula in Critically III Patients with Severe COVID-19.

Alexandre Demoule1, Antoine Vieillard Baron2, Michael Darmon3, Alexandra Beurton1, Guillaume Géri2, Guillaume Voiriot1, Thibault Dupont3, Lara Zafrani3, Lola Girodias2, Vincent Labbé1, Martin Dres1, Muriel Fartoukh1, Elie Azoulay3.   

Abstract

Entities:  

Year:  2020        PMID: 32758000      PMCID: PMC7528777          DOI: 10.1164/rccm.202005-2007LE

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


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To the Editor: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the ongoing coronavirus disease (COVID-19) pandemic. In severe de novo acute hypoxemic respiratory failure, high-flow nasal cannula (HFNC) oxygen improves oxygenation and reduces e and work of breathing (1, 2). In addition, the technique has demonstrated clinical benefits in such patients (3, 4). To test the hypothesis that HFNC reduces intubation rate and mortality in patients with COVID-19 admitted to the ICU for acute respiratory failure, we designed this retrospective study that compares patients who received HFNC to those who did not in a cohort of 379 critically ill patients.

Methods

All consecutive patients with acute respiratory failure and laboratory-confirmed SARS-CoV-2 infection admitted to one of the four participating dedicated COVID-19 ICUs in Paris, France, between February 21 and April 24, 2020, were enrolled. Acute respiratory failure was defined as respiratory rate ≥25, bilateral pulmonary infiltrates on chest X-ray or computed tomography scan, and need for standard oxygen ≥3 L/min−1 to maintain peripheral arterial oxygen saturation ≥92%. Laboratory confirmation of SARS-CoV-2 was defined as a positive result of real-time RT-PCR assay of nasal and pharyngeal swabs (5). The study was approved by the ethics committee of the French Intensive Care Society (n. 20–23), which waived the need for informed consent from individual patients because of the retrospective nature of this chart review. Data were abstracted from the medical charts and electronic reports by attending intensivists at each hospital. FiO was calculated as 0.21+ (oxygen flow [L/min−1] × 0.03) in patients receiving standard oxygen and was actual FiO in those receiving HFNC. In the four participating units, HFNC targeted a flow ≥50 L/min, which could be reduced in case of poor tolerance. Need for invasive mechanical ventilation and mortality 28 days after ICU admission were recorded. Continuous variables were described as median (interquartile range) and were compared between groups using the nonparametric Wilcoxon rank-sum test. Categorical variables were described as frequency (percentages) and were compared between groups using Fisher’s exact test. Mortality was assessed using survival analysis; Kaplan-Meier graphs were used to express the probability of death from inclusion to Day 28, and comparisons were performed using the log-rank test. We used a competing risks model to account for the risk of invasive mechanical ventilation while taking into account discharge alive and death as time-dependent competing risks. Comparisons were performed using the Gray test. Risk of death was assessed using Cox model including variables at ICU admission, such as oxygenation modality. In a sensitivity analysis, a propensity score (PS)-matched analysis was performed according to factors associated with receiving HFNC. On the basis of a conditional backward model, the following variables were selected for inclusion into the PS model: immunosuppression, ICU admission within 7 days from symptom onset, vasopressors, and acute kidney injury. A case-matching procedure was performed on 1:1 ratio without replacement and according to the nearest neighbor method. The adequacy of the matching procedure was assessed by plotting PS across groups and assessing differences across groups using standardized mean difference. Univariate analysis and then double adjustment by Cox model were performed on relevant variables associated with outcome and those poorly matched. Statistical analyses were performed with R statistical software, version 3.4.4 (available online at http://www.r-project.org/), and “Survival,” “Cmprisk,” and “MatchIt” package were used. P < 0.05 was considered significant.

Results

Over the study period, 379 patients with COVID-19 (age, 66 [53-68] yr; 77% men) were admitted to the four ICUs for acute hypoxemic respiratory failure. Comorbidities included hypertension (50%), diabetes (30%), immunosuppression (18%), chronic kidney disease (17%), cardiovascular disease (8%), asthma (6%), or chronic obstructive pulmonary disease (5%). Median body mass index was 28 (25–32) kg/m−2. Overall, 146 (39%) patients received HFNC (all within the first 24 h after ICU admission) and were compared with 233 patients who did not. Table 1 shows the patients characteristics. None of the variables depicting patients’ characteristics at baseline significantly differed between the two groups. Patients who received HFNC were admitted after a longer period since symptoms onset, but time since hospital admission was not different. PaO/FiO ratio was 126 (86–189) mm Hg and 130 (97–195) mm Hg in the patients who received HFNC and those who did not, respectively (P = 0.43). Sequential Organ Failure Assessment score at Day 1 was significantly lower in patients with HFNC (4 [3-5] vs. 6 [3-9], P = 0.001), which was consistent with a lower proportion of patients with acute kidney injury (40% vs. 60%, P < 0.0001) and vasopressors (29% vs. 53%, P < 0.0001).
Table 1.

Factors Associated with the Use of HFNC

 No HFNC (n = 233)HFNC (n = 146)P Value
Patients characteristics   
 Age, yr63 (53–69)60 (53–67)0.249
 Sex, F57 (25)31 (21)0.549
 Body mass index, kg/m−228 (25–32)27 (25–30)0.213
 Comorbidities   
  COPD13 (6)7 (5)0.923
  Asthma12 (5)11 (8)0.468
  Diabetes72 (31)42 (29)0.745
  High blood pressure121 (52)67 (46)0.299
  Chronic heart failure22 (10)10 (7)0.488
  Immunosuppression49 (21)19 (13)0.060
On ICU admission   
 Time since disease onset, d8 (5–10)10 (7–12)<0.001
 Time since hospital admission, d1 (0–3)1 (0–3)0.599
 Body temperature, °C37.9 (37.0–38.7)38.0 (37.4–38.7)0.146
 Oxygen flow, L/min−115 (8–15)15 (9–15)0.045
 Number of quadrants involved on chest X-ray4 (2–4)4 (2–4)0.658
 PaO2/FiO2 at Day 1 (worst value), mm Hg130 (97–195)126 (86–189)0.433
 Leukocytes, G/L−18.08 (5.49–11.30)8.09 (5.70–10.79)0.537
 Lymphocytes, G/L−10.80 (0.59–1.16)0.70 (0.54–1.03)0.056
 D-dimer, IU1,908 (830–3,968)1,500 (920–2,770)0.194
 Lactate, mmol/L−11.2 (1.0–1.8)1.4 (1.0–1.7)0.292
 SOFA at Day 16 (3–9)4 (3–5)<0.001
Oxygenation/ventilation strategy   
 CPAP3 (1)3 (2)0.873
 NIV18 (8)9 (6)0.703
 Duration of HFNC therapy, d04 (2–6)
Before intubation*   
 Respiratory rate, min−133 (26–36)30 (25–32)0.089
 SpO2, %94 (88–97)97 (95–100)0.010
 FiO2, %66 (49–66)100 (90–100)0.008
Organ failure and support during ICU stay   
 Vasopressors123 (53)42 (29)<0.001
 Acute kidney injury139 (60)56 (40)<0.001
 Renal replacement therapy57 (25)17 (12)0.003
Outcome variables   
 Invasive mechanical ventilation at Day 28175 (75)82 (56)<0.001
 ICU mortality68 (34)30 (25)0.117
 Mortality at Day 2870 (30)30 (21)0.055
 Mortality at Day 6072 (31)31 (21)0.052

Definition of abbreviations: COPD = chronic obstructive pulmonary disease; CPAP = continuous positive airway pressure; HFNC = high-flow nasal cannula; NIV = noninvasive ventilation; SOFA = Sequential Organ Failure Assessment score; SpO = peripheral arterial oxygen saturation.

Continuous variables are expressed as median (interquartile range) and categorical variables as absolute value (%).

In patients who were eventually intubated.

Factors Associated with the Use of HFNC Definition of abbreviations: COPD = chronic obstructive pulmonary disease; CPAP = continuous positive airway pressure; HFNC = high-flow nasal cannula; NIV = noninvasive ventilation; SOFA = Sequential Organ Failure Assessment score; SpO = peripheral arterial oxygen saturation. Continuous variables are expressed as median (interquartile range) and categorical variables as absolute value (%). In patients who were eventually intubated. The proportion of patients requiring invasive mechanical ventilation at Day 28 was 56% (95% confidence interval [CI], 47–64) vs. 75% (95% CI, 70–81; P < 0.0001 [Gray test]). Mortality at Day 28 was 21% in the HFNC group versus 30% in those who did not receive HFNC (hazard ratio [HR], 0.69; 95% CI, 0.45–1.07). After adjusting on a PS to receive HFNC, 137 patients who received HFNC were matched to 137 patients who did not. Change in standardized mean difference before and after matching was excellent or good for most variables (Figure 1). HFNC was associated with a reduced proportion of patients requiring invasive mechanical ventilation at Day 28 (55% [95% CI, 46–63] vs. 72% [95% CI, 64–79]; P < 0.0001 [Gray test]; Figure 1B). Day 28 mortality was similar between the two groups (21% in the HFNC group vs. 22% in the other group; HR, 1.35; 95% CI, 0.56–3.26). These findings were similar in various sensitivity analyses adjusting for frailty effect on center (HR for mortality, 1.04; 95% CI, 0.62–1.73; and subdistribution HR for mechanical ventilation, 0.54; 95% CI, 0.39–0.75) and adjusting for frailty effect on center and remaing poorly matched variables, namely, Sequential Organ Failure Assessment score and body mass index (HR for mortality, 1.41; 95% CI, 0.82–2.44; and subdistribution HR for mechanical ventilation, 0.61; 95% CI, 0.44–0.85).
Figure 1.

(A) Change in standardized mean difference before and after matching. (B) Cumulative incidence of invasive mechanical ventilation (blue line) while accounting for ICU mortality (green line) or discharge alive from ICU (orange line). AKI = acute kidney lung injury; BMI = body mass index; COPD = chronic obstructive pulmonary disease; ECLS = extracorporeal lung support; HFNC = high-flow nasal cannula; NSAIDs = nonsteroidal antiinflammatory drugs; RRT = renal replacement therapy; SOFA = Sequential Organ Failure Assessment score.

(A) Change in standardized mean difference before and after matching. (B) Cumulative incidence of invasive mechanical ventilation (blue line) while accounting for ICU mortality (green line) or discharge alive from ICU (orange line). AKI = acute kidney lung injury; BMI = body mass index; COPD = chronic obstructive pulmonary disease; ECLS = extracorporeal lung support; HFNC = high-flow nasal cannula; NSAIDs = nonsteroidal antiinflammatory drugs; RRT = renal replacement therapy; SOFA = Sequential Organ Failure Assessment score.

Discussion

Symptomatic management to restore oxygenation of severe acute respiratory failure is a major issue in this COVID-19 outbreak. This study suggests that HFNC significantly reduces intubation and subsequent invasive mechanical ventilation but does not affect case fatality (6). These findings are in line with a previous trial that demonstrated reduced intubation rates in the most hypoxemic patients (3) and that mortality is not affected by HFNC put forward the complexity of SARS-CoV-2 infection, in which the underlying lungs do not hold typical features of acute respiratory distress syndrome (7, 8). Instead, acute fibrinous and organizing pneumonia with organizing intraalveolar fibrin associated with notorious endothelial injury can be found in postmortem biopsies (7, 8). Moreover, the proportion of pulmonary embolism and acute kidney and myocardial injury are reported in much higher proportions than in typical acute respiratory distress syndrome (9). Finally, this study highlights that HFNC was as safe as standard oxygen in a large cohort of patients with COVID-19.
  8 in total

Review 1.  High flow nasal cannula compared with conventional oxygen therapy for acute hypoxemic respiratory failure: a systematic review and meta-analysis.

Authors:  B Rochwerg; D Granton; D X Wang; Y Helviz; S Einav; J P Frat; A Mekontso-Dessap; A Schreiber; E Azoulay; A Mercat; A Demoule; V Lemiale; A Pesenti; E D Riviello; T Mauri; J Mancebo; L Brochard; K Burns
Journal:  Intensive Care Med       Date:  2019-03-19       Impact factor: 17.440

2.  Physiologic Effects of High-Flow Nasal Cannula in Acute Hypoxemic Respiratory Failure.

Authors:  Tommaso Mauri; Cecilia Turrini; Nilde Eronia; Giacomo Grasselli; Carlo Alberto Volta; Giacomo Bellani; Antonio Pesenti
Journal:  Am J Respir Crit Care Med       Date:  2017-05-01       Impact factor: 21.405

3.  High-flow oxygen through nasal cannula in acute hypoxemic respiratory failure.

Authors:  Jean-Pierre Frat; Arnaud W Thille; Alain Mercat; Christophe Girault; Stéphanie Ragot; Sébastien Perbet; Gwénael Prat; Thierry Boulain; Elise Morawiec; Alice Cottereau; Jérôme Devaquet; Saad Nseir; Keyvan Razazi; Jean-Paul Mira; Laurent Argaud; Jean-Charles Chakarian; Jean-Damien Ricard; Xavier Wittebole; Stéphanie Chevalier; Alexandre Herbland; Muriel Fartoukh; Jean-Michel Constantin; Jean-Marie Tonnelier; Marc Pierrot; Armelle Mathonnet; Gaëtan Béduneau; Céline Delétage-Métreau; Jean-Christophe M Richard; Laurent Brochard; René Robert
Journal:  N Engl J Med       Date:  2015-05-17       Impact factor: 91.245

4.  Effect of High-Flow Nasal Oxygen vs Standard Oxygen on 28-Day Mortality in Immunocompromised Patients With Acute Respiratory Failure: The HIGH Randomized Clinical Trial.

Authors:  Elie Azoulay; Virginie Lemiale; Djamel Mokart; Saad Nseir; Laurent Argaud; Frédéric Pène; Loay Kontar; Fabrice Bruneel; Kada Klouche; François Barbier; Jean Reignier; Lilia Berrahil-Meksen; Guillaume Louis; Jean-Michel Constantin; Julien Mayaux; Florent Wallet; Achille Kouatchet; Vincent Peigne; Igor Théodose; Pierre Perez; Christophe Girault; Samir Jaber; Johanna Oziel; Martine Nyunga; Nicolas Terzi; Lila Bouadma; Christine Lebert; Alexandre Lautrette; Naike Bigé; Jean-Herlé Raphalen; Laurent Papazian; Michael Darmon; Sylvie Chevret; Alexandre Demoule
Journal:  JAMA       Date:  2018-11-27       Impact factor: 56.272

5.  Multiorgan and Renal Tropism of SARS-CoV-2.

Authors:  Victor G Puelles; Marc Lütgehetmann; Maja T Lindenmeyer; Jan P Sperhake; Milagros N Wong; Lena Allweiss; Silvia Chilla; Axel Heinemann; Nicola Wanner; Shuya Liu; Fabian Braun; Shun Lu; Susanne Pfefferle; Ann S Schröder; Carolin Edler; Oliver Gross; Markus Glatzel; Dominic Wichmann; Thorsten Wiech; Stefan Kluge; Klaus Pueschel; Martin Aepfelbacher; Tobias B Huber
Journal:  N Engl J Med       Date:  2020-05-13       Impact factor: 91.245

6.  Time to consider histologic pattern of lung injury to treat critically ill patients with COVID-19 infection.

Authors:  Marie-Christine Copin; Erika Parmentier; Thibault Duburcq; Julien Poissy; Daniel Mathieu
Journal:  Intensive Care Med       Date:  2020-04-23       Impact factor: 17.440

7.  Optimum support by high-flow nasal cannula in acute hypoxemic respiratory failure: effects of increasing flow rates.

Authors:  Tommaso Mauri; Laura Alban; Cecilia Turrini; Barbara Cambiaghi; Eleonora Carlesso; Paolo Taccone; Nicola Bottino; Alfredo Lissoni; Savino Spadaro; Carlo Alberto Volta; Luciano Gattinoni; Antonio Pesenti; Giacomo Grasselli
Journal:  Intensive Care Med       Date:  2017-07-31       Impact factor: 17.440

8.  Surviving Sepsis Campaign: guidelines on the management of critically ill adults with Coronavirus Disease 2019 (COVID-19).

Authors:  Waleed Alhazzani; Morten Hylander Møller; Yaseen M Arabi; Mark Loeb; Michelle Ng Gong; Eddy Fan; Simon Oczkowski; Mitchell M Levy; Lennie Derde; Amy Dzierba; Bin Du; Michael Aboodi; Hannah Wunsch; Maurizio Cecconi; Younsuck Koh; Daniel S Chertow; Kathryn Maitland; Fayez Alshamsi; Emilie Belley-Cote; Massimiliano Greco; Matthew Laundy; Jill S Morgan; Jozef Kesecioglu; Allison McGeer; Leonard Mermel; Manoj J Mammen; Paul E Alexander; Amy Arrington; John E Centofanti; Giuseppe Citerio; Bandar Baw; Ziad A Memish; Naomi Hammond; Frederick G Hayden; Laura Evans; Andrew Rhodes
Journal:  Intensive Care Med       Date:  2020-03-28       Impact factor: 17.440

  8 in total
  66 in total

1.  High-Dose Dexamethasone and Oxygen Support Strategies in Intensive Care Unit Patients With Severe COVID-19 Acute Hypoxemic Respiratory Failure: The COVIDICUS Randomized Clinical Trial.

Authors:  Lila Bouadma; Armand Mekontso-Dessap; Charles Burdet; Hamid Merdji; Julien Poissy; Claire Dupuis; Christophe Guitton; Carole Schwebel; Yves Cohen; Cedric Bruel; Mehdi Marzouk; Guillaume Geri; Charles Cerf; Bruno Mégarbane; Pierre Garçon; Eric Kipnis; Benoit Visseaux; Naima Beldjoudi; Sylvie Chevret; Jean-François Timsit
Journal:  JAMA Intern Med       Date:  2022-09-01       Impact factor: 44.409

Review 2. 

Authors:  Stephan Budweiser
Journal:  Pneumo News       Date:  2021-06-25

3.  Characteristics, management, and prognosis of elderly patients with COVID-19 admitted in the ICU during the first wave: insights from the COVID-ICU study : Prognosis of COVID-19 elderly critically ill patients in the ICU.

Authors:  Martin Dres; David Hajage; Said Lebbah; Antoine Kimmoun; Tai Pham; Gaëtan Béduneau; Alain Combes; Alain Mercat; Bertrand Guidet; Alexandre Demoule; Matthieu Schmidt
Journal:  Ann Intensive Care       Date:  2021-05-14       Impact factor: 6.925

4.  Implications of early respiratory support strategies on disease progression in critical COVID-19: a matched subanalysis of the prospective RISC-19-ICU cohort.

Authors:  Pedro D Wendel Garcia; Hernán Aguirre-Bermeo; Philipp K Buehler; Mario Alfaro-Farias; Bernd Yuen; Sascha David; Thomas Tschoellitsch; Tobias Wengenmayer; Anita Korsos; Alberto Fogagnolo; Gian-Reto Kleger; Maddalena A Wu; Riccardo Colombo; Fabrizio Turrini; Antonella Potalivo; Emanuele Rezoagli; Raquel Rodríguez-García; Pedro Castro; Arantxa Lander-Azcona; Maria C Martín-Delgado; Herminia Lozano-Gómez; Rolf Ensner; Marc P Michot; Nadine Gehring; Peter Schott; Martin Siegemund; Lukas Merki; Jan Wiegand; Marie M Jeitziner; Marcus Laube; Petra Salomon; Frank Hillgaertner; Alexander Dullenkopf; Hatem Ksouri; Sara Cereghetti; Serge Grazioli; Christian Bürkle; Julien Marrel; Isabelle Fleisch; Marie-Helene Perez; Anja Baltussen Weber; Samuele Ceruti; Katharina Marquardt; Tobias Hübner; Hermann Redecker; Michael Studhalter; Michael Stephan; Daniela Selz; Urs Pietsch; Anette Ristic; Antje Heise; Friederike Meyer Zu Bentrup; Marilene Franchitti Laurent; Patricia Fodor; Tomislav Gaspert; Christoph Haberthuer; Elif Colak; Dorothea M Heuberger; Thierry Fumeaux; Jonathan Montomoli; Philippe Guerci; Reto A Schuepbach; Matthias P Hilty; Ferran Roche-Campo
Journal:  Crit Care       Date:  2021-05-25       Impact factor: 9.097

5.  Predictive factors associated with high-flow nasal cannula success for COVID-19-related acute hypoxemic respiratory failure.

Authors:  Antoine Goury; Jean-Adoumngar Moussanang; Mathieu Bard; Vanessa Champenois; Gautier Julien; Vincent Dupont; Bruno Mourvillier
Journal:  Health Sci Rep       Date:  2021-05-07

6.  High-flow Nasal Cannula therapy: A feasible treatment for vulnerable elderly COVID-19 patients in the wards.

Authors:  Job van Steenkiste; Michael C van Herwerden; Dolf Weller; Christiaan J van den Bout; Rikje Ruiter; Jan G den Hollander; Rachida El Moussaoui; Gert T Verhoeven; Charlotte van Noord; Marinus A van den Dorpel
Journal:  Heart Lung       Date:  2021-05-25       Impact factor: 2.210

Review 7.  Noninvasive respiratory support and patient self-inflicted lung injury in COVID-19: a narrative review.

Authors:  Denise Battaglini; Chiara Robba; Lorenzo Ball; Pedro L Silva; Fernanda F Cruz; Paolo Pelosi; Patricia R M Rocco
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8. 

Authors:  N Taghboulit; G Voiriot; A Demoule; J Helms
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9.  What is the most adequate non-invasive oxygen support for acute hypoxaemic respiratory failure due to COVID-19?

Authors:  Jean-Pierre Frat; Arnaud W Thille; François Arrivé; Manel Lujan; Jordi Rello
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10.  Characteristics, management and outcomes of critically ill COVID-19 patients admitted to ICU in hospitals in Bangladesh: a retrospective study.

Authors:  Ayan Saha; Mohammed Moinul Ahsan; Tarek-Ul Quader; Mohammad Umer Sharif Shohan; Sabekun Naher; Preya Dutta; Al-Shahriar Akash; H M Hamidullah Mehedi; Asm Arman Ullah Chowdhury; Hasanul Karim; Tazrina Rahman; Ayesha Parvin
Journal:  J Prev Med Hyg       Date:  2021-04-29
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