Literature DB >> 34788583

Phenotypes of Patients with COVID-19 Who Have a Positive Clinical Response to Helmet Noninvasive Ventilation.

Domenico Luca Grieco1,2, Luca S Menga1,2, Melania Cesarano1,2, Savino Spadaro3, Maria Maddalena Bitondo4, Cecilia Berardi1,2, Tommaso Rosà1,2, Filippo Bongiovanni1,2, Salvatore Maurizio Maggiore5,6, Massimo Antonelli1,2.   

Abstract

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Year:  2022        PMID: 34788583      PMCID: PMC8887003          DOI: 10.1164/rccm.202105-1212LE

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


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To the Editor: Recently, we published the results of a randomized trial (HENIVOT) comparing helmet noninvasive ventilation followed by high-flow nasal oxygen versus high-flow nasal oxygen alone in patients with coronavirus disease (COVID-19) and moderate to severe respiratory failure (PaO/FiO < 200 mm Hg and PaCO ⩾ 45 mm Hg). Results showed no significant intergroup difference in the primary outcome (28-day respiratory support-free days), but lower intubation rate and increased 28-day invasive ventilation-free days in the helmet group (1). The accompanying editorial addressed the relevant issue of personalizing treatments by identifying subphenotypes of patients who may best benefit from each technique (2). We performed post hoc analyses to establish whether any bedside available parameter before randomization (PaO/FiO, PaCO, respiratory rate, visual analog scale [VAS] dyspnea, PaO/[FiO × respiratory rate], SpO/[FiO × respiratory rate] (3), PaO/[FiO × VAS dyspnea]) could help identify subgroups of patients who could most benefit from the interventions of the trial. The parameters that were found to identify subgroups of patients with different response to treatments were presence of hypocapnia and PaO/(FiO × VAS dyspnea) < 30 before randomization. In these post hoc analyses, we report study outcomes in the two groups after classifying patients according to 1) whether they were normo- or hypocapnic; and 2) whether their PaO/(FiO × VAS dyspnea) was less than 30 or at 30 or more.

Methods

A total of 109 patients admitted to four ICUs in Italy with COVID-19 and moderate to severe hypoxemic respiratory failure (PaO/FiO ⩽ 200) were randomized to receive 48-hour continuous treatment with helmet noninvasive ventilation (positive end-expiratory pressure 10–12 cm H2O and pressure support 10–12 cm H2O) eventually followed by high-flow nasal oxygen, or high-flow nasal oxygen alone (flow, 60 L/min). Full details of study protocol are provided elsewhere (clinicaltrials.gov NCT04502576) (1). The study was approved by the ethics committee of all centers. In these post hoc analyses, intergroup differences in study outcomes were analyzed in the subgroups of patients exhibiting 1) PaCO less than 35mm Hg or 35mm Hg or more; and 2) PaO/(FiO × VAS dyspnea) < 30 or ⩾30 (median of the cohort). PaO/FiO, PaCO, and VAS dyspnea were measured while patients were receiving Venturimask oxygen before randomization. VAS dyspnea was assessed by visual analog scale, ranging from 0 to 10, with 10 representing the worst symptom (4, 5). For patients with VAS dyspnea = 0, PaO/(FiO × VAS dyspnea) was considered equal to PaO/FiO. The number of days free of respiratory support (high-flow nasal oxygen, noninvasive, and invasive ventilation) within 28 days after enrollment was the primary endpoint. The rate of endotracheal intubation within 28 days, the number of days free of invasive mechanical ventilation at Days 28 and 60, in-ICU and in-hospital mortality, mortality at Days 28 and 60, and ICU and hospital length of stay were secondary outcomes. Data are expressed as number of events (percentage) or median (interquartile range [IQR]). Ordinal quantitative variables were compared with the Mann-Whitney U test, after the nonnormal distribution was determined with the Shapiro-Wilk test. Comparisons between groups regarding qualitative variables were performed with the Fisher’s exact or the chi-square test, as appropriate. Multivariate analyses adjusting for simplified acute physiology score II, sequential organ failure assessment, PaO/FiO at inclusion, and site of enrollment and time of randomization as random effects were conducted through linear or logistic regression models. Kaplan-Meier curves are displayed for results concerning intubation. All results with two-sided P ⩽ 0.05 are considered statistically significant. Statistical analysis was performed with IBM SPSS 26.

Results

Demographic study endpoints are displayed in Table 1. Kaplan-Meier tables are displayed in Figure 1.
Table 1.

Characteristics at Inclusion and Study Outcomes, according to Study Group*

 PaCO2 < 35mm Hg (n = 59)
PaCO2 ⩾ 35 mm Hg (n = 50)
Helmet Noninvasive Ventilation (n = 28)High-Flow Nasal Oxygen (n = 31)Absolute or Mean Difference (95% CI)OR (95% CI)P ValueHelmet Noninvasive Ventilation (n = 26)High-Flow Nasal Oxygen (n = 24)Absolute or Mean Difference (95% CI)OR (95% CI)P Value
Characteristics at study inclusion
 Age, yr66 (53 to 73)64 (55 to 71)−1 (−8 to 4)0.9366 (60 to 72)61 (53 to 68)8 (1 to 14)0.056
 Sex, F, n (%)4 (14)5 (16)−2 (−20 to 18)0.87 (0.21 to 3.6)>0.9918 (69)20 (83)−14 (−36 to 10)2.22 (0.57 to 8.65)0.33
 Sex, M, n (%)24 (86)26 (84)2 (−18 to 20)1.15 (0.28 to 4.81)>0.998 (31)4 (17)14 (−10 to 36)0.45 (0.12 to 1.75)0.33
 Body mass index26 (26 to 29)27 (23 to 32)0 (−1 to 1)0.9728 (26 to 31)30 (23 to 33)−2 (−5 to 1)0.18
 Respiratory rate at enrollment, breaths/min28 (24 to 35)26 (23 to 32)1 (−3 to 5)0.6130 (24 to 31)28 (23 to 31)1 (−2 to 3)0.69
 Device-related discomfort at enrollment1 (0 to 3)0 (0 to 1)1 (0 to 2)0.130 (0 to 5)0 (0 to 2)0 (−1 to 2)0.96
 VAS dyspnea at enrollment3 (2 to 6)4 (0 to 6)1 (−1 to 2)0.414 (1 to 7)3 (1 to 7)2 (−1 to 2)0.98
 VAS dyspnea change after 1 h of treatment1 (0 to 3)0 (−1 to 1)2 (0 to 3)0.0061 (0 to 3)0 (−1 to 3)1 (−1 to 2)0.10
 Arterial blood gases at enrollment
  PaO2/FiO2 ratio, mm Hg103 (84 to 126)93 (80 to 122)10 (−4 to 17)0.30106 (82 to 126)109 (84 to 130)−4 (−21 to 13)0.68
  PaCO2, mm Hg31 (28 to 33)32 (30 to 34)−1 (−3 to 0)0.04637 (36 to 39)37 (36 to 40)0 (−1 to 2)0.85
  SAPS II32 (25 to 35)29 (24 to 37)0 (−4 to 3)0.9832 (28 to 37)24 (28 to 32)4 (0 to 9)0.024
Outcomes
 Respiratory support–free days21 (11 to 25)14 (0 to 21)5 (0 to 11)0.0716 (0 to 24)20 (1 to 23)−2 (−8 to 4)0.80
 Intubation within 28 d from enrollment5 (18)19 (61)−43 (−61 to −19)0.14 (0.04 to 0.46)0.00111 (42)9 (38)9 (−17 to 33)1.22 (0.39 to 3.80)0.78
 28-d invasive ventilation-free days28 (28 to 28)19 (3 to 28)8 (2 to 14)0.00328 (4 to 28)28 (9 to 28)−2 (−8 to 5)0.81
 60-d invasive ventilation-free days60 (60 to 60)50 (5 to 60)17 (5 to 30)0.00260 (8 to 60)60 (33 to 60)−8 (−20 to 5)0.36
 28-d mortality3 (11)8 (26)−15 (−34 to 5)0.34 (0.08 to 1.46)0.195 (19)2 (8)11 (−10 to 30)2.62 (0.46 to 15)0.42
 60-d mortality5 (18)10 (32)−14 (−35 to 8)0.46 (0.13 to 1.55)0.248 (31)2 (8)22 (0 to 43)4.89 (0.92 to 25.97)0.78
 In-ICU mortality3 (11)12 (39)−28 (−47 to −6)0.19 (0.05 to 0.77)0.0188 (31)2 (8)22 (0 to 43)4.89 (0.92 to 25.97)0.78
 In-hospital mortality§5 (18)12 (39)−21 (−41 to 2)0.34 (0.10 to 1.15)0.0928 (31)2 (8)22 (0 to 43)4.89 (0.92 to 25.97)0.78
 Duration of stay in the ICU, d8 (4 to 17)12 (6 to 23)−9 (−18 to 0)0.129 (4 to 22)8 (5 to 17)−3 (−13 to 8)0.88
 Duration of stay in the hospital, d22 (14 to 33)23 (13 to 47)−8 (−20 to 3)0.3720 (13 to 28)18 (13 to 32)−4 (−15 to 6)0.91

Definition of abbreviations: CI = confidence interval; OR = odds ratio; SAPS II = Simplified Acute Physiology Score II; VAS = visual analog scale.

There were no missing data among the two groups. For calculations, PaO was expressed in mm Hg and FiO as fraction of the unity (0.21–1). For nonnormal quantitative variables, comparison between groups was performed with Mann-Whitney test. Comparisons between groups for qualitative variables were performed with the chi-square test or the Fisher’s exact test, as appropriate in agreement with test’s assumptions. Mean differences and odds ratios are unadjusted. For adjusted results, see the main text. Respiratory support: invasive or noninvasive mechanical ventilation, high-flow nasal cannula.

Values are displayed as median (interquartile range) if not otherwise specified.

The body mass index is the weight in kilograms divided by the square of the height in meters.

Dyspnea and discomfort were assessed through visual analog scales adapted for patients in the ICU ranging from 0 to 10.

One patient was discharged from hospital but died upon readmission.

Figure 1.

(A) Kaplan-Meier plots of the cumulative incidence of intubation from randomization to Day 28 in the subgroup of patients with PaCO of less than 35 mm Hg (n = 59 patients) and 35 mm Hg or more (n = 50 patients) at study enrollment. The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaCO of less than 35 mm Hg was 0.25 (95% CI, 0.11–0.57). The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaCO of at least 35 mm Hg was 1.05 (95% CI, 0.44–2.53). (B) Kaplan-Meier plots of the cumulative incidence of intubation from randomization to Day 28 in the subgroup of patients with PaO/(FiO × dyspnea) lower (n = 54 patients) and equal to or higher than (n = 55 patients) 30 at study enrollment. The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaO/(FiO × VAS dyspnea) < 30 was 0.39 (95% CI, 0.19–0.82). The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaO/(FiO × VAS dyspnea) ⩾ 30 was 0.63 (95% CI, 0.23–1.73). CI = confidence interval; VAS = visual analog scale.

Characteristics at Inclusion and Study Outcomes, according to Study Group* Definition of abbreviations: CI = confidence interval; OR = odds ratio; SAPS II = Simplified Acute Physiology Score II; VAS = visual analog scale. There were no missing data among the two groups. For calculations, PaO was expressed in mm Hg and FiO as fraction of the unity (0.21–1). For nonnormal quantitative variables, comparison between groups was performed with Mann-Whitney test. Comparisons between groups for qualitative variables were performed with the chi-square test or the Fisher’s exact test, as appropriate in agreement with test’s assumptions. Mean differences and odds ratios are unadjusted. For adjusted results, see the main text. Respiratory support: invasive or noninvasive mechanical ventilation, high-flow nasal cannula. Values are displayed as median (interquartile range) if not otherwise specified. The body mass index is the weight in kilograms divided by the square of the height in meters. Dyspnea and discomfort were assessed through visual analog scales adapted for patients in the ICU ranging from 0 to 10. One patient was discharged from hospital but died upon readmission. (A) Kaplan-Meier plots of the cumulative incidence of intubation from randomization to Day 28 in the subgroup of patients with PaCO of less than 35 mm Hg (n = 59 patients) and 35 mm Hg or more (n = 50 patients) at study enrollment. The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaCO of less than 35 mm Hg was 0.25 (95% CI, 0.11–0.57). The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaCO of at least 35 mm Hg was 1.05 (95% CI, 0.44–2.53). (B) Kaplan-Meier plots of the cumulative incidence of intubation from randomization to Day 28 in the subgroup of patients with PaO/(FiO × dyspnea) lower (n = 54 patients) and equal to or higher than (n = 55 patients) 30 at study enrollment. The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaO/(FiO × VAS dyspnea) < 30 was 0.39 (95% CI, 0.19–0.82). The hazard ratio for endotracheal intubation in the helmet noninvasive ventilation group in patients with PaO/(FiO × VAS dyspnea) ⩾ 30 was 0.63 (95% CI, 0.23–1.73). CI = confidence interval; VAS = visual analog scale.

PaCO before treatment start

Among 109 analyzed patients, 59 patients had PaCO of less than 35 mm Hg and 50 had PaCO of 35 mm Hg or more. In patients with PaCO of less than 35 mm Hg, the median (IQR) days free of respiratory support within 28 days after randomization were 21 (11–25) in the helmet group and 14 (0–21) in the high-flow group, a difference that was not significant before or after adjustment for covariates (P = 0.07). The rate of endotracheal intubation was significantly lower in the helmet group than in the high-flow group: 18% versus 61%, with an absolute risk reduction of −43% (95% confidence interval [CI], −61% to −19%) and an adjusted odds ratio of 0.10 (95% CI, 0.22 to 0.42; P = 0.002) (Figure 1C). In-ICU mortality was significantly lower in the helmet group than in the high-flow group: 11% versus 39%, with an absolute risk reduction of −28% (95% CI, −47% to −6%) and an adjusted odds ratio of 0.15 (95% CI, 0.03 to 0.69; P = 0.015). In patients with PaCO of 35 mm Hg or less, there were no significant differences between the helmet and the high-flow group for any analyzed outcome.

PaO/(FiO × VAS dyspnea) before treatment start

Among 109 analyzed patients, 55 patients had PaO/(FiO × VAS dyspnea) ⩾ 30 and 54 had   PaO/(FiO × VAS dyspnea) ⩽ 30. In patients with PaO/(FiO × VAS dyspnea] < 30, the median (IQR) days free of respiratory support within 28 days after randomization was 13 (0–24) in the helmet group and 1 (0–19) in the high-flow group, a difference that was not statistically significant (P = 0.29). At the adjusted analysis, the number of days free of respiratory support at 28 days was significantly higher in the helmet group, with an adjusted mean difference of 5 (95% CI, 0–10; P = 0.04). The rate of endotracheal intubation was significantly lower in the helmet group than in the high-flow group: 37% versus 70%, with an absolute risk reduction of 33% (95% CI, −7% to 54%) and an adjusted odds ratio of 0.11 (95% CI, 0.02 to 0.55; P = 0.008) (Figure 1B). In patients with PaO/(FiO × VAS dyspnea) ⩾ 30, there were no significant differences between the helmet and the high-flow group for any analyzed outcome.

Discussion

The results of these post hoc analyses of the HENIVOT trial indicate that the beneficial effects of helmet noninvasive ventilation over high-flow nasal oxygen in patients with COVID-19 with moderate to severe hypoxemia are magnified and limited to the subgroup of patients with PaO/(FiO × VAS dyspnea) < 30 and/or PaCO of less than 35mm Hg before treatment start. PaO/FiO and VAS dyspnea are markers of disease severity (5); hypocapnia may reflect dysregulation of brain homeostasis toward a lower level of PaCO, resulting in increased inspiratory effort, high Vt, and tachypnea (6). Results from this post hoc analysis are consistent with data indicating that the physiologic benefit of helmet noninvasive ventilation over high-flow nasal oxygen is prominent among patients with more severe oxygenation impairment and intense inspiratory effort (7). These results may aid bedside patient phenotyping for clinical decision making and personalizing treatments. High-flow nasal oxygen is a simple, easy-to-use tool applied worldwide (8). Conversely, helmet noninvasive ventilation is a less diffuse technique (9) and requires a mechanical ventilator and personnel expertise, whose shortage in the context of the COVID-19 pandemic may limit the number of patients who may have access to this kind of support. PaO/(FiO × VAS dyspnea) and PaCO are bedside-available parameters that may help identify patients in whom helmet noninvasive ventilation as applied in the HENIVOT trial may improve clinical outcome (7, 10). Our study has limitations: The post hoc nature of these analyses and the small sample make the results hypothesis generating, warranting further confirmatory investigations; the thresholds proposed should be taken cautiously; and VAS dyspnea is mainly used to compare dyspnea within a subject before and after a stimulus is applied, but it has been recently used to compare subjects undergoing noninvasive support (4, 5). We believe that its application in the present investigation is legitimate. In patients with COVID-19 and moderate to severe hypoxemic respiratory failure, these analyses suggest that high-flow oxygen is as effective as helmet noninvasive ventilation in patients who show PaO/(FiO × VAS dyspnea) ⩾ 30 and/or PaCO of 35 mm Hg or more under conventional oxygen, whereas helmet noninvasive ventilation as applied in the HENIVOT trial may improve clinical outcome among subjects exhibiting PaO/(FiO × VAS dyspnea) < 30 and/or PaCO of less than 35 mm Hg.
  10 in total

1.  An Index Combining Respiratory Rate and Oxygenation to Predict Outcome of Nasal High-Flow Therapy.

Authors:  Oriol Roca; Berta Caralt; Jonathan Messika; Manuel Samper; Benjamin Sztrymf; Gonzalo Hernández; Marina García-de-Acilu; Jean-Pierre Frat; Joan R Masclans; Jean-Damien Ricard
Journal:  Am J Respir Crit Care Med       Date:  2019-06-01       Impact factor: 21.405

2.  Respiratory Support During the COVID-19 Pandemic: Is It Time to Consider Using a Helmet?

Authors:  Laveena Munshi; Jesse B Hall
Journal:  JAMA       Date:  2021-05-04       Impact factor: 56.272

3.  Physiological Comparison of High-Flow Nasal Cannula and Helmet Noninvasive Ventilation in Acute Hypoxemic Respiratory Failure.

Authors:  Domenico Luca Grieco; Luca S Menga; Valeria Raggi; Filippo Bongiovanni; Gian Marco Anzellotti; Eloisa S Tanzarella; Maria Grazia Bocci; Giovanna Mercurio; Antonio M Dell'Anna; Davide Eleuteri; Giuseppe Bello; Riccardo Maviglia; Giorgio Conti; Salvatore Maurizio Maggiore; Massimo Antonelli
Journal:  Am J Respir Crit Care Med       Date:  2020-02-01       Impact factor: 21.405

4.  Dyspnoea in patients receiving noninvasive ventilation for acute respiratory failure: prevalence, risk factors and prognostic impact: A prospective observational study.

Authors:  Laurence Dangers; Claire Montlahuc; Achille Kouatchet; Samir Jaber; Ferhat Meziani; Sébastien Perbet; Thomas Similowski; Matthieu Resche-Rigon; Elie Azoulay; Alexandre Demoule
Journal:  Eur Respir J       Date:  2018-08-09       Impact factor: 16.671

5.  Respiratory Drive in Critically Ill Patients. Pathophysiology and Clinical Implications.

Authors:  Katerina Vaporidi; Evangelia Akoumianaki; Irene Telias; Ewan C Goligher; Laurent Brochard; Dimitris Georgopoulos
Journal:  Am J Respir Crit Care Med       Date:  2020-01-01       Impact factor: 21.405

6.  Effect of Helmet Noninvasive Ventilation vs High-Flow Nasal Oxygen on Days Free of Respiratory Support in Patients With COVID-19 and Moderate to Severe Hypoxemic Respiratory Failure: The HENIVOT Randomized Clinical Trial.

Authors:  Domenico Luca Grieco; Luca S Menga; Melania Cesarano; Tommaso Rosà; Savino Spadaro; Maria Maddalena Bitondo; Jonathan Montomoli; Giulia Falò; Tommaso Tonetti; Salvatore L Cutuli; Gabriele Pintaudi; Eloisa S Tanzarella; Edoardo Piervincenzi; Filippo Bongiovanni; Antonio M Dell'Anna; Luca Delle Cese; Cecilia Berardi; Simone Carelli; Maria Grazia Bocci; Luca Montini; Giuseppe Bello; Daniele Natalini; Gennaro De Pascale; Matteo Velardo; Carlo Alberto Volta; V Marco Ranieri; Giorgio Conti; Salvatore Maurizio Maggiore; Massimo Antonelli
Journal:  JAMA       Date:  2021-05-04       Impact factor: 56.272

7.  Dyspnoea and respiratory muscle ultrasound to predict extubation failure.

Authors:  Martin Dres; Thomas Similowski; Ewan C Goligher; Tai Pham; Liliya Sergenyuk; Irene Telias; Domenico Luca Grieco; Wissale Ouechani; Detajin Junhasavasdikul; Michael C Sklar; L Felipe Damiani; Luana Melo; Cesar Santis; Lauriane Degravi; Maxens Decavèle; Laurent Brochard; Alexandre Demoule
Journal:  Eur Respir J       Date:  2021-11-11       Impact factor: 16.671

8.  Inspiratory Effort and Lung Mechanics in Spontaneously Breathing Patients with Acute Respiratory Failure Due to COVID-19: A Matched Control Study.

Authors:  Roberto Tonelli; Stefano Busani; Luca Tabbì; Riccardo Fantini; Ivana Castaniere; Emanuela Biagioni; Cristina Mussini; Massimo Girardis; Enrico Clini; Alessandro Marchioni
Journal:  Am J Respir Crit Care Med       Date:  2021-07-02       Impact factor: 21.405

9.  The role for high flow nasal cannula as a respiratory support strategy in adults: a clinical practice guideline.

Authors:  Bram Rochwerg; Sharon Einav; Dipayan Chaudhuri; Jordi Mancebo; Tommaso Mauri; Yigal Helviz; Ewan C Goligher; Samir Jaber; Jean-Damien Ricard; Nuttapol Rittayamai; Oriol Roca; Massimo Antonelli; Salvatore Maurizio Maggiore; Alexandre Demoule; Carol L Hodgson; Alain Mercat; M Elizabeth Wilcox; David Granton; Dominic Wang; Elie Azoulay; Lamia Ouanes-Besbes; Gilda Cinnella; Michela Rauseo; Carlos Carvalho; Armand Dessap-Mekontso; John Fraser; Jean-Pierre Frat; Charles Gomersall; Giacomo Grasselli; Gonzalo Hernandez; Sameer Jog; Antonio Pesenti; Elisabeth D Riviello; Arthur S Slutsky; Renee D Stapleton; Daniel Talmor; Arnaud W Thille; Laurent Brochard; Karen E A Burns
Journal:  Intensive Care Med       Date:  2020-11-17       Impact factor: 17.440

Review 10.  Non-invasive ventilatory support and high-flow nasal oxygen as first-line treatment of acute hypoxemic respiratory failure and ARDS.

Authors:  Domenico Luca Grieco; Salvatore Maurizio Maggiore; Oriol Roca; Elena Spinelli; Bhakti K Patel; Arnaud W Thille; Carmen Sílvia V Barbas; Marina Garcia de Acilu; Salvatore Lucio Cutuli; Filippo Bongiovanni; Marcelo Amato; Jean-Pierre Frat; Tommaso Mauri; John P Kress; Jordi Mancebo; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2021-07-07       Impact factor: 17.440

  10 in total
  4 in total

1.  Helmet noninvasive support in hypoxemic respiratory failure.

Authors:  Domenico Luca Grieco; Bhakti K Patel; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2022-06-17       Impact factor: 41.787

2.  Optimising respiratory support for early COVID-19 pneumonia: a computational modelling study.

Authors:  Liam Weaver; Anup Das; Sina Saffaran; Nadir Yehya; Marc Chikhani; Timothy E Scott; John G Laffey; Jonathan G Hardman; Luigi Camporota; Declan G Bates
Journal:  Br J Anaesth       Date:  2022-03-18       Impact factor: 11.719

3.  Breathing pattern, accessory respiratory muscles work, and gas exchange evaluation for prediction of NIV failure in moderate-to-severe COVID-19-associated ARDS after deterioration of respiratory failure outside ICU: the COVID-NIV observational study.

Authors:  Andrey I Yaroshetskiy; Zamira M Merzhoeva; Natalia A Tsareva; Natalia V Trushenko; Galia S Nuralieva; Vasily D Konanykhin; Anna P Krasnoshchekova; Sergey N Avdeev
Journal:  BMC Anesthesiol       Date:  2022-10-01       Impact factor: 2.376

Review 4.  Helmet noninvasive support for acute hypoxemic respiratory failure: rationale, mechanism of action and bedside application.

Authors:  Melania Cesarano; Domenico Luca Grieco; Teresa Michi; Laveena Munshi; Luca S Menga; Luca Delle Cese; Ersilia Ruggiero; Tommaso Rosà; Daniele Natalini; Michael C Sklar; Salvatore L Cutuli; Filippo Bongiovanni; Gennaro De Pascale; Bruno L Ferreyro; Ewan C Goligher; Massimo Antonelli
Journal:  Ann Intensive Care       Date:  2022-10-14       Impact factor: 10.318

  4 in total

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