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CPAP delivered via a helmet interface in lightly sedated patients with moderate to severe ARDS: predictors of success outside the ICU

Isabella de Melo Matos1,2a, Betina Santos Tomaz2a, Maria da Penha Uchoa Sales3a, Gabriela Carvalho Gomes1a, Antonio Brazil Viana Junior4a, Miguel R. Gonçalves5,6a, Marcelo Alcantara Holanda1a, Eanes Delgado Barros Pereira1a

ABSTRACT

Objective: This study aimed to describe the outcomes and explore predictors of intubation and mortality in patients with ARDS due to COVID-19 treated with CPAP delivered via a helmet interface and light sedation. Methods: This was a retrospective cohort study involving patients with COVID-19-related ARDS who received CPAP using a helmet developed in Brazil (ELMOT), associated with a light sedation protocol in a pulmonology ward. Demographic, clinical, imaging, and laboratory data, as well as the duration and response to the ELMO-CPAP sessions, were analyzed. Results: The sample comprised 180 patients. The intubation avoidance rate was 72.8%. The lack of necessity for intubation was positively correlated with younger age, > 24-h continuous HELMET-CPAP use in the first session, < 75% pulmonary involvement on CT, and ROX index > 4.88 in the second hour. The overall in-hospital mortality rate was 18.9%, whereas those in the nonintubated and intubated groups were 3.0% and 61.2%, respectively. Advanced age increased the mortality risk by 2.8 times, escalating to 13 times post-intubation. Conclusions: ELMO-CPAP with light sedation in a pulmonology ward was successful in > 70% of patients with moderate to severe ARDS due to COVID-19. Younger age, pulmonary involvement, ROX index, and prolonged first Helmet-CPAP session duration were associated with no need for intubation. Older age and intubation are associated with mortality.

Keywords: Respiratory distress syndrome; COVID-19; Continuous positive airway pressure; helmets ; Dexmedetomidine.

INTRODUCTION
 
Respiratory involvement in COVID-19 has a clinical spectrum ranging from asymptomatic or oligosymptomatic patients to those with severe acute hypoxemic respiratory failure (AHRF) and ARDS.(1) The persistence of the latter condition has remained the main risk factor for COVID-19-related endotracheal intubation (ETI) and mortality since the beginning of the pandemic.(2-4) Noninvasive respiratory support strategies using helmet interfaces have become important for avoiding invasive measures. (5-7) However, insistence on these strategies can delay ETI and worsen patient outcomes.(8,9) Factors for predicting ETI and mortality continue to be a subject of debate.(10,11)
 
Helmet-CPAP has been used in ARDS patients with COVID-19 to provide prolonged and continuous treatments with high positive airway pressure (CPAP or PEEP) to reduce self-inflicted lung injuries.(12) In association with noninvasive respiratory support, light sedation has been gaining prominence with the advantage of reducing anxiety, decreasing respiratory rate, and decreasing tidal volumes, factors that can aggravate lung injury if elevated, as well as improving patient compliance and tolerance to therapy.(13-15) However, the association of CPAP with helmets and light sedation is limited to a few cases in the literature and little explored in ARDS outcomes.(13,16)
 
Helmet-CPAP is commonly implemented with an oxygen flow generator: it is simple to apply, does not require mechanical ventilators, and is usable outside the ICU.(13,17,18) It is particularly useful in low-resource locations and during pandemics.(6,7,19,20)
 
During the second wave of the COVID-19 pandemic in Brazil, a helmet known as ELMO™ was used in thousands of patients. It was designed for the application of CPAP outside of overwhelmed ICUs during a pandemic emergency and does not require a mechanical ventilator. (21,22) Respiratory wards were opened for non-intubated patients with AHRF with team training and structured protocols.
 
Patients with COVID-19 are especially anxious and frightened because of the disease. This factor potentially increases respiratory drive and respiratory rate and reduces patient tolerance to therapy.(1,23) Therefore, we added pharmacological intravenous continuous light sedation with dexmedetomidine, a drug recommended for sedating patients during noninvasive respiratory support.(13)
 
We hypothesized that applying Helmet-CPAP with light sedation would augment patient tolerance, allowing prolonged periods of helmet application in patients with moderate to severe ARDS and COVID-19 treated outside the ICU, and that we would find predictors for ETI and mortality yet to be reported in the literature, such as the duration of Helmet-CPAP sessions. This study aimed to describe the outcomes of intubation and mortality and to explore their predictors in patients with ARDS secondary to COVID-19 treated with ELMO-CPAP (the specific helmet used in these patients) associated with light sedation with dexmedetomidine.
 
METHODS
 
Study design and population
 
This retrospective cohort study was performed at a specialized noninvasive respiratory support pulmonology ward for patients with AHRF and ARDS due to COVID-19 at the Hospital of Messejana Dr Carlos Alberto Studart Gomes, a tertiary referral hospital for respiratory diseases in the state of Ceará, Brazil. This study was performed in strict accordance with the Declaration of Helsinki and approved by the Brazilian National Research Ethics Committee (Protocol number. 4.902.781). The requirement for informed consent was waived owing to the retrospective nature of the study.
 
Eligible patients were adults > 18 years of age, of both sexes, diagnosed with COVID-19 confirmed by positive RT-PCR nasopharyngeal swab test,(24) with hypoxemic respiratory failure submitted to noninvasive respiratory support therapy using ELMO-CPAP during the study period. ARDS was classified according to the new definition, which includes criteria such as assessment of the PaO2/FIO2 ratio when using CPAP > 5 cmH2O (201-300 = mild; 101-200 = moderate; and ≤ 100 = severe), bilateral opacities on chest CT, and a compatible underlying cause.(25)
 
The patients met the following criteria: 1. Being alert, oriented, and cooperative; 2. Oxygen therapy by nasal cannula with a flow > 4 L/min or by nonrebreathing reservoir mask > 8 L/min, maintaining SpO2 higher than 92%; 3. Arterial blood gas analysis with pH > 7.35 (no acidosis), PaO2 > 60 mmHg up to 30 min before starting therapy, and no hypercapnia (PaCO2 < 46 mmHg); and 4. Chest CT scan obtained within the preceding 24 h showing bilateral parenchymal opacities.(7)
 
Exclusion criteria were as follows: 1. first use of ELMO-CPAP after extubation; 2. Exacerbation of asthma or COPD; 3. Need for more than 0.5 mcg/kg/min of i.v. norepinephrine infusion; 4. Persistent signs of respiratory fatigue (use of accessory respiratory muscles and paradoxical breathing); 6. Uncontrolled claustrophobia; 7. Uncontained vomiting or nausea; and 8. Imminent risk of cardiorespiratory arrest.
 
The respiratory ward was monitored with a multiparameter monitor for vital signs (e.g. continuous pulse oximetry, frequency of blood pressure measurements). It was covered 24 h by doctors, nurses, and respiratory therapists, with a ratio of such professionals of 1:6 per patient, with daily shifts of fixed pulmonologists. The patients who underwent ELMO-CPAP support followed a standardized protocol (Figure 1) developed by the interdisciplinary team, all adequately trained and headed by a pulmonologist responsible for the continuous efforts to improve the team’s performance every day.

 
The ELMO-CPAP works by delivering a continuous flow of a mixture of oxygen and compressed medicinal gases directly into the inspiratory circuit; a PEEP valve in the exhalation port allows the application of a stable, adjustable CPAP of 8-15 cmH2O, which can be measured with a simple analog tracheal tube cuff pressure manometer.(21)
 
All patients started therapy with a total flow rate of 60 L/min (O2 and compressed air), with sufficient FIO2 to maintain an SpO2 in the range of 92-96%, and a CPAP of 10 cmH2O checked with the cuff pressure manometer.(22)
 
To reduce anxiety and improve patient compliance and comfort, patients were administered dexmedetomidine by continuous intravenous infusion (0.2-0.6 mcg/kg/min) and clonazepam oral drops (1 mg every 8 h) during ELMO-CPAP. Sedation was gradually adjusted to achieve a Richmond Agitation Sedation Scale score of 0 or −1.(5) Some precautions were adopted as follows: the use of lubricating eye drops (before each CPAP session), nasal lavage with 0.9% sodium chloride saline, lactulose, and ear protectors. Spontaneous prone position was encouraged, adopted according to the patient’s tolerance, and maintained as long as possible. Figure S1 and S2 (supplementary material) shows details of the ELMO-CPAP application protocol and weaning from therapy, respectively.
 
Data collection plan
 
Data were extracted from the electronic medical records using standardized forms, keeping the identity of each patient confidential. Data collection was performed by a single researcher who was adequately trained to use the data-collection instrument.
 
Baseline clinical data were collected on hospital admission. An arterial blood gas sample was collected before the start of therapy and during the first therapy session (with a time interval of 2-24 h of continuous ELMO-CPAP use). A qualitative description of chest CT performed within 24 h after admission was also analyzed by a board-certified radiologist who described the following items: degree of lung parenchymal involvement with findings suggestive of viral pneumonia (graduated as < 25%, 25-50%, > 50-75%, and > 75% of lung involvement). Subsequently, for statistical analysis, these categories were grouped as ≤ 50%, 51-75%, and > 75%. Complications such as pneumomediastinum or pneumothorax, if present, were recorded.
 
Data on clinical evolution of the disease were obtained, such as the beginning and type of symptoms before admission, time of therapy initiation after admission to the respiratory ward, total duration of ELMO-CPAP use in the first 48 h, and duration in days.
 
Patients who did not require ETI were considered successful, whereas those who needed it were considered failure.
 
The primary objective of this study was to assess the factors related to the success of ELMO-CPAP respiratory support. The secondary objective was to evaluate the factors associated with in-hospital mortality, including intubation.
 
Statistical analysis
 
The normality test for quantitative variables was performed using the Shapiro-Wilk and Kolmogorov-Smirnov tests. For the descriptive analysis of quantitative variables, the mean and standard deviation or the median and interquartile range were calculated according to the sample distribution. Categorical variables were described as absolute and relative frequencies.
 
The Student’s t-test and Mann-Whitney U tests were used to compare continuous variables with normal and non-normal distributions, respectively. Association analysis between categorical variables was performed using the Pearson’s chi-square test.
 
Multivariate analysis and Poisson regression with robust estimator examined variables associated with ETI (primary outcome) and in-hospital death (secondary outcome). The variables considered relevant to the model were selected from those found significant in the univariate analyses (p < 0.05), according to clinical importance and biological plausibility, and others as potential confounders: age, C-reactive protein, chest CT involvement, PaO2/FIO2 ratio at baseline, and duration of first ELMO-CPAP section. The results are presented as relative risk (RR) and 95% CI. Statistical significance was set at p < 0.05. We used the IBM SPSS Statistics software, version 21.0 (IBM Corporation, Armonk, NY, USA).
 
RESULTS
 
A total of 203 patients diagnosed with AHRF secondary to COVID-19 were admitted to the respiratory ward. All patients were eligible for ELMO-CPAP therapy. After applying the inclusion criteria, 180 patients were included in the analysis (Figure 1). Of these, 116 (81%) were male, and the median age of the sample was 55 years. Table 1 shows the patient characteristics, treatments applied, and hospital outcomes of the nonintubated (success) and intubated (failure) groups. A total of 131 (72.8%) patients did not need ETI after ELMO-CPAP, while 49 (27.2%) failed and received invasive mechanical ventilation.
 


 

 
Older age [57.5 years (50-67) vs. 54 years (41.2-62.0); p = 0.01], higher levels of C-reactive protein [11.9 mg/L (9.1-15.2) vs. 9 mg/L (6.2-14.5); p = 0.01], lower PaO2/FIO2 ratio [117.5 (100.0-141.0) vs. 142.5 (121.0-163.0); p = 0.001], more than 75% of pulmonary involvement on chest CT images [19 (38.8%) vs. 21 (16%); p = 0.03], and fewer hours during the first ELMO-CPAP session [24 h (17-42) vs 44 h (32.2-48.0); p < 0.001] were associated with ETI in univariate analysis (Table 1). All patients used light sedatives, as described in the study protocol.
 
The length of hospital stay for intubated patients was more than double of that for nonintubated patients [25 days (20.0-32.7) vs. 11 (9.0-15.0); p < 0.01]. Overall, the in-hospital mortality was 18.9%, and there was a statistically significant difference between the intubated and nonintubated groups [30 (61.2%) vs. 4 (3%); p = 0.001; Table 1].
 
Considering the secondary outcome, when comparing death versus hospital discharge, mortality was higher in older patients who presented with higher levels of C-reactive protein, LDH, and D-dimer; those who were hyperventilated; those with lower levels of PaO2/FIO2 ratio; those who presented more than 75% of pulmonary involvement on chest CT images; and those who spent fewer continuous hours during the first ELMO-CPAP session (28 h vs. 42 h; p = 0.048), as detailed in Table S1.
 
Table 2 shows the response to ELMO-CPAP in arterial blood gases and SpO2 collected at 2-24 h, variation to baseline, and respiratory rate-oxygenation (ROX) index at 2 h during the first ELMO-CPAP application in nonintubated and intubated patients. An improvement in oxygenation was observed in the nonintubated group, which was reflected in the increase in PaO2, SpO2, and PaO2/FIO2 during the use of ELMO-CPAP. In addition, there was an early response in the ROX index after 2 h, with a median of 5.56 vs 4.84 (p = 0.003) in nonintubated and intubated patients, respectively. Most patients had moderate to severe ARDS. The latter was more frequent in the intubation group and was associated with failure (Table 2).


 
Multivariate analysis with Poisson regression was used to examine the factors associated with ETI and mortality. The relevant variables for the model were age, C-reactive protein level, involvement on chest CT, PaO2/FIO2 ratio at the beginning of the study, and duration of the first ELMO section.
 
For intubation, multivariate analysis showed that patients over 60 years of age, with more than 75% pulmonary involvement on chest CT images, an ROX index < 4.88, and less than 24 h duration of the first ELMO-CPAP session were associated with a higher risk for intubation (Figure 2).


 
Regarding mortality, advanced age was associated with an increase of 2.8 times in the risk of mortality, and this risk escalated to a 13-time increase in individuals who underwent intubation. The other variables were not associated with mortality (Figure 2).
 
DISCUSSION
 
This retrospective cohort study included 180 patients with AHRF and ARDS secondary to COVID-19 treated with CPAP without mechanical ventilation using the first Brazilian helmet interface (ELMO), light sedation, and outside the ICU. In our sample, 131 (72.8%) of the patients did not need ETI. To our knowledge, this is the highest success rate reported in the literature. The overall in-hospital mortality rate was 18.9%, and almost all deaths occurred in the intubation group.
 
The independent predictive factors associated with ETI were old age, > 75% pulmonary involvement on chest CT images, ROX index < 4.88 after 2 h, and duration of first ELMO-CPAP session less than 24 h. Advanced age was associated with an increase of up to 2.8 times in the risk of death, and this risk escalated by more than 10 times in individuals who underwent intubation.
 
The application of noninvasive respiratory support outside the ICU in the patient profile of this study is feasible when performed by an experienced, trained team and is associated with favorable outcomes, such as lower rates of intubation and mortality.(10,19) These settings have become known as specialized wards, with institutional protocols and well-defined criteria for initiating therapy, guided by pulmonologists and a multidisciplinary team. These factors may be associated with a learning curve for the team in managing ELMO-CPAP, thereby influencing the high success rate. Compared with other studies that used CPAP with a helmet interface, our success rate is currently the highest reported in the literature. Previously, other researchers reported success rates of 63%,(26) 69%,(27) and 56%.(28)
 
The high nonintubation rate in patients using ELMO-CPAP with light sedation obtained in our investigation can be explained by the improvement in oxygenation, probably due to alveolar recruitment, improvement in the ventilation-perfusion ratio, and dyspnea relief. (12) This result can be potentiated with helmet-type interfaces, such as ours, by providing a greater tolerance for high CPAP levels for prolonged periods. To the best of our knowledge, the present study is the first to routinely use light sedation with Helmet-CPAP in all patients, which may have contributed to their success. Light sedation may favorably modulate the respiratory drive, a factor that, in theory, may contribute to reducing the propensity to self-inflicted lung injury.(12) Dexmedetomidine is the preferred agent for sedating patients receiving Helmet-CPAP in the ICU when necessary and promotes lower rates of delirium.(13,29) In previous similar studies, the overall in-hospital mortality rates were 34.3%(30) and 36.3%(26) compared with 18.9% in the present investigation. The relatively lower mortality rate in our study may be related to the lower ETI rate.
 
Two factors related to the patient and disease extension were independently associated with intubation: older age and extensive lung parenchymal involvement on chest CT, respectively. In fact, for every one-year increase in lifetime, the risk of ETI and mortality increased. This is consistent with the study by De Vita et al.,(31) in which age and markers of disease severity, leukocytes, LDH, and PaO2/FIO2 were predictive factors of CPAP failure. In our study, lung parenchymal involvement on chest CT images < 75% at hospital admission was associated with an increased chance of no intubation. Patients with COVID-19 and greater extension of lung parenchyma infiltrates on chest CT have a reduced surface area for respiratory gas exchange with worsening during the course of the disease, which can lead to ETI.(32) Considerable lung involvement can also predispose patients to complications such as pneumothorax and the need to be admitted to the ICU.(33)
 
We found a direct relationship between prolonged duration of the first ELMO-CPAP session and avoidance of ETI: a session for more than 24 h reduced the risk of intubation. Of the four retrospective cohort studies published to date,(11,30,31,34) none associated the duration of continuous CPAP use in the first session with a decrease in intubation rate in patients with COVID-19 and AHRF, a new finding of the present investigation.
 
Our study has several limitations. It had a retrospective, single-center design, which limits the generalizability of the results. Arterial blood gas measurements were obtained within a broad timeframe of 2-24 h from therapy initiation, a software-based quantitative analysis of lung involvement on chest CT images was not used, and the measurement of the ROX index was performed at a single point in time. Therefore, it was not possible to include a control group in this study. However, the protocol and respiratory support were standardized for a single disease, limiting the variability of treatment and the number of confounding variables.
 
The clinical implications of this study are as follows. This study provides new predictors of intubation and mortality using Helmet-CPAP in severely ill patients with ARDS due to SARS-CoV-2. Furthermore, CPAP therapy, which is much simpler than noninvasive ventilation with pressure-support ventilation, can be applied in scenarios of public health emergencies or catastrophes with favorable outcomes, mainly in low-income communities or countries. Moreover, predictors related to the patient, disease extension, tolerance, and response to Helmet-CPAP use can help identify patients who need more attention and early recognition of failure, avoiding delayed intubations and possible increases in mortality.(35) Future clinical trials are warranted to study the applications of Helmet-CPAP designed to implement the earliest and most prolonged duration possible in patients with AHRF and ARDS due to viral pneumonia or other causes combined with light sedation with dexmedetomidine or other sedatives, whenever needed, in comparison with alternatives such as high-flow nasal cannula or standard noninvasive ventilation.(36)
 
In conclusion, the use of a new helmet, ELMO, with CPAP and light sedation applied outside the ICU, resulted in more than 70% of COVID-19 patients with AHRF and ARDS not requiring ETI. Intubation and mortality rates were higher for elderly patients with more than 75% pulmonary involvement on chest CT images and less than 24 h duration for the first ELMO-CPAP session. The design of future investigations with Helmet-CPAP use in ARDS and AHRF should consider the present results.
 
ACKNOWLEDGEMENTS
 
The authors would like to thank the multiprofessional team at the Hospital de Messejana Dr. Carlos Alberto Studart Gomes for their contribution to the development of protocols and workflows for the ELMO ward as well as for the care provided to hundreds of patients. We also thank the Respiratory Laboratory (RespLab) and the Postgraduate Program in Medical Sciences at the Federal University of Ceará (UFC).
 
AUTHOR CONTRIBUTIONS
 
IMM: designed the study, collected the data, had full access to all of the data in the study, took responsibility for the integrity of the data, analyzed the data, and drafted the manuscript. BST: designed the study, drafted the manuscript, and reviewed the manuscript. MPUS: designed the study and reviewed the manuscript. GCG: reviewed the manuscript. ABVJ: statistician that analyzed the data. MRG: review of the manuscript. MAH: drafting and reviewing the manuscript. EDBP: designed the study, analyzed the data, drafted the manuscript, and reviewed the manuscript. All authors revised, read, and approved the final manuscript.
 
CONFLICTS OF INTEREST
 
None declared.
 
REFERENCES
 
1.           Camporota L, Cronin JN, Busana M, Gattinoni L, Formenti F. Pathophysiology of coronavirus-19 disease acute lung injury. Curr Opin Crit Care. 2022;28(1):9-16 https://doi.org/10.1097/MCC.0000000000000911
2.           Okamoto M. Special Issue: “Respiratory Disease in the COVID-19 Era”. Medicina (Kaunas). 2023;59(5):886. https://doi.org/10.3390/medicina59050886
3.           Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497-506.  https://doi.org/10.1016/S0140-6736(20)30183-5
4.           Wu C, Chen X, Cai Y, Zhou X, Xu S, Huang H, et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern. Med. 2020;180:934-943.. https://doi.org/10.1001/jamainternmed.2020.0994
5.           Hajjar LA, Costa IBSS, Rizk SI, Biselli B, Gomes BR, Bittar CS, et al. Intensive Care management of patients with COVID-19: a practical approach. Annals of Intensive Care. 2021; 11(1):1-17.  https://doi.org/10.1186/s13613-021-00820-w
6.           Cesarano M, Grieco DL, Michi T, Munshi L, Menga LS, Delle Cese LD, et al. Helmet noninvasive support for acute hypoxemic respiratory failure: rationale, mechanism of action and bedside application. Ann Intensive Care. 2022;12(1):94. https://doi.org/10.1186/s13613-022-01069-7
7.           Radovanovic D, Rizzi M, Pini S, Saad M, Chiumello DA, Santus P. Helmet CPAP to Treat Acute Hypoxemic Respiratory Failure in Patients with COVID-19: A Management Strategy Proposal. J Clin Med. 2020;9(4):1191.  https://doi.org/10.3390/jcm9041191
8.           Ranzani OT, Bastos LSL, Gelli JGM, Marchesi JF, Baião F, Hamacher S, et al. Characterisation of the first 250,000 hospital admissions for COVID-19 in Brazil: a retrospective analysis of nationwide data. Lancet Respir Med. 2021;9(4):407-18. https://doi.org/10.1016/S2213-2600(20)30560-9
9.           Porto APM, Neto JX, Moreira FJF, Júnior ABV, das Dores CCC, Júnior ARC, et al. ResCOVID Task Force. Mortality in a swiftly repurposed hospital in northeast Brazil during the first and second COVID-19 waves: A retrospective cohort study. IJID Reg. 2023;7:182-90.  https://doi.org/10.1016/j.ijregi.2023.03.009
10.        Radovanovic D, Coppola S, Franceschi E, Gervasoni F, Duscio E, Chiumello DA, et al. Mortality and clinical outcomes in patients with COVID-19 pneumonia treated with non-invasive respiratory support: A rapid review. J Crit Care. 2021;65:1-8.  https://doi.org/10.1016/j.jcrc.2021.05.007
11.        Romanelli A, Toigo P, Scarpati G, Caccavale A, Lauro G, Baldassarre D, et al. Predictor factors for non-invasive mechanical ventilation failure in severe COVID-19 patients in the intensive care unit: a single-center retrospective study. J Anesth Analg Crit Care. 2022;2(1):10. https://doi.org/10.1186/s44158-022-00038-7
12.        Grieco DL, Patel BK, Antonelli M. Helmet noninvasive support in hypoxemic respiratory failure. Intensive Care Med. 2022;48(8):1072-5.  https://doi.org/10.1007/s00134-022-06737-7
13.        Amirfarzan H, Cereda M, Gaulton TG, Leissner KB, Cortegiani A, Schumann R, et al. Use of Helmet CPAP in COVID-19 - A practical review. Pulmonology. 2021;27(5):413-422.  https://doi.org/10.1016/j.pulmoe.2021.01.008
14.        Grieco DL, Maggiore SM, Roca O, Spinelli E, Patel BK, Thille AW, et al Non-invasive ventilatory support and high-flow nasal oxygen as first-line treatment of acute hypoxemic respiratory failure and ARDS. Intensive Care Med. 2021;47:851-866.  https://doi.org/10.1007/s00134-021-06459-2
15.        Cabrini L, Antonelli M, Savoia G, Landriscina M. Non-invasive ventilation outside of the Intensive Care Unit: an Italian survey. Minerva Anestesiol. 2011;77(3):313-322.
16.        Rocco M, Conti G, Alessandri E, Morelli A, Spadetta G, Laderchi A, et al. Rescue treatment for noninvasive ventilation failure due to interface intolerance with remifentanil analgosedation: a pilot study. Intensive Care Med. 2010;36(12):2060-5.  https://doi.org/10.1007/s00134-010-2026-y
17.        Arabi YM, Patel BK, Antonelli M. Helmet trials: resolving the puzzle. Intensive Care Med. 2023;49(4):458-461.  https://doi.org/10.1007/s00134-023-07004-z
18.        Noto A, Cortegiani A, Genoese G, Appendini L, Gregoretti C, Carlucci A, et al. Performance of helmet CPAP using different configurations: Turbine-driven ventilators vs Venturi devices. Pulmonology. 2023:S2531-0437(23)00089-2. https://doi.org/10.1016/j.pulmoe.2023.04.009
19.        Franco C, Facciolongo N, Tonelli R, Dongilli R, Vianello A, Pisani L, et al. Feasibility and clinical impact of out-of-ICU noninvasive respiratory support in patients with COVID-19-related pneumonia. Eur Respir J. 2020;56(5):2002130.  https://doi.org/10.1183/13993003.02130-2020
20.        Beliero AM , Lázaro APP, Zaranza MS, Lima GMC, Guimarães ÁR, Aragão NL, et al. ELMO CPAP: an innovative type of ventilatory support for COVID-19-related acute respiratory distress syndrome. J Bras Pneumol. 2023;49(6):e20230227 https://doi.org/10.36416/1806-3756/e20230227
21.        Holanda MA, Tomaz BS, Menezes DGA, Lino JA, Gomes GC. ELMO 1.0: a helmet interface for CPAP and high-flow oxygen delivery. J Bras Pneumol. 2021;47(3):e20200590.  https://doi.org/10.36416/1806-3756/e20200590
22.        Tomaz BS, Gomes GC, Lino JA, Menezes DGA, Soares JB, Furtado V, et al. ELMO, a new helmet interface for CPAP to treat COVID-19-related acute hypoxemic respiratory failure outside the ICU: a feasibility study. J Bras Pneumol. 2022;48(1):e20210349.  https://doi.org/10.36416/1806-3756/e20210349
23.        Spinelli E, Mauri T, Beitler JR, Pesenti A, Brodie D. Respiratory drive in the acute respiratory distress syndrome: pathophysiology, monitoring, and therapeutic interventions. Intensive Care Med. 2020;46(4):606-618.  https://doi.org/10.1007/s00134-020-05942-6
24.        Vandenberg O, Martiny D, Rochas O, Van Belkum A, Kozlakidis Z. Considerations for diagnostic COVID-19 tests. Nat Rev Microbiol. 2021;19(3):171-83. https://doi.org/10.1038/s41579-020-00461-z
25.        Matthay MA, Arabi Y, Arroliga AC, Bernard G, Bersten AD, Brochard LJ, et al. A New Global Definition of Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med. 2024;209(1):37-47. https://doi.org/10.1164/rccm.202303-0558WS
26.        Perkins GD, Ji C, Connolly BA, Couper K, Lall R, Baillie JK, et al. RECOVERY-RS Collaborators. Effect of Noninvasive Respiratory Strategies on Intubation or Mortality Among Patients With Acute Hypoxemic Respiratory Failure and COVID-19: The RECOVERY-RS Randomized Clinical Trial. JAMA. 2022;327(6):546-58.  https://doi.org/10.1001/jama.2022.0028
27.        Coppadoro A, Benini A, Fruscio R, Verga L, Mazzola P, Bellelli G, et al. Helmet CPAP to treat hypoxic pneumonia outside the ICU: an observational study during the COVID-19 outbreak. Crit Care. 2021;25(1):80.  https://doi.org/10.1186/s13054-021-03502-y
28.        Aliberti S, Radovanovic D, Billi F, Sotgiu G, Costanzo M, Pilocane T, et al. Helmet CPAP treatment in patients with COVID-19 pneumonia: a multicentre cohort study. Eur Respir J. 2020;56(4):2001935.  https://doi.org/10.1183/13993003.01935-2020
29.        Ng KT, Shubash CJ, Chong JS. The effect of dexmedetomidine on delirium and agitation in patients in intensive care: systematic review and meta-analysis with trial sequential analysis. Anaesthesia. 2019;74(3):380-392. https://doi.org/10.1111/anae.14472
30.        Cei F, Chiarugi L, Brancati S, Dolenti S, Montini MS, Rosselli M, et al. Clinical and Personal Predictors of Helmet-CPAP Use and Failure in Patients Firstly Admitted to Regular Medical Wards with COVID-19-Related Acute Respiratory Distress Syndrome (hCPAP-f Study). Biomedicines. 2023;11(1):207. https://doi.org/10.3390/biomedicines11010207
31.        De Vita N, Scotti L, Cammarota G, Racca F, Pissaia C, Maestrone C, et al. Predictors of intubation in COVID-19 patients treated with out-of-ICU continuous positive airway pressure. Pulmonology. 2022;28(3):173-80.  https://doi.org/10.1016/j.pulmoe.2020.12.010
32.        Leonardi A, Scipione R, Alfieri G, Petrillo R, Dolciami M, Ciccarelli F, et al. Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method. Eur J Radiol. 2020;130:109202. https://doi.org/10.1016/j.ejrad.2020.109202
33.        Zhong L, Zhang S, Wang J, Zhao X, Wang K, Ding W, et al. Analysis of Chest CT Results of Coronavirus Disease 2019 (COVID-19) Patients at First Follow-Up. Can Respir J. 2020;2020:5328267.. https://doi.org/10.1155/2020/5328267
34.        Arina P, Baso B, Moro V, Patel H, Ambler G; UCL Critical Care COVID-19 Research Group. Discriminating between CPAP success and failure in COVID-19 patients with severe respiratory failure. Intensive Care Med. 2021;47(2):237-9.  https://doi.org/10.1007/s00134-020-06304-y
35.        Ozyilmaz E, Ugurlu AO, Nava S. Timing of noninvasive ventilation failure: causes, risk factors, and potential remedies. BMC Pulm Med. 2014;14:19. https://doi.org/10.1186/1471-2466-14-19
36.        Grasselli G, Calfee CS, Camporota L, Poole D, Amato MBP, Antonelli M. et al. ESICM guidelines on acute respiratory distress syndrome: definition, phenotyping and respiratory support strategies. Intensive Care Med. 2023;49(7):727-759.  https://doi.org/10.1007/s00134-023-07050-7
 

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