Next Article in Journal
Facial Paralysis Detection in Infrared Thermal Images Using Asymmetry Analysis of Temperature and Texture Features
Next Article in Special Issue
Biomarkers of Cholestasis and Liver Injury in the Early Phase of Acute Respiratory Distress Syndrome and Their Pathophysiological Value
Previous Article in Journal
Challenging Cases of Aortic Prosthesis Dysfunction, the Importance of Multimodality Imaging, a Case Series
Previous Article in Special Issue
Management of COVID-19-Associated Acute Respiratory Failure with Alternatives to Invasive Mechanical Ventilation: High-Flow Oxygen, Continuous Positive Airway Pressure, and Noninvasive Ventilation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Early Identification and Diagnostic Approach in Acute Respiratory Distress Syndrome (ARDS)

by
François Arrivé
1,
Rémi Coudroy
1,2 and
Arnaud W. Thille
1,2,*
1
Centre Hospitalier Universitaire de Poitiers, Médecine Intensive Réanimation, 86021 Poitiers, France
2
Centre d’Investigation Clinique 1402 ALIVE, INSERM, Université de Poitiers, 86000 Poitiers, France
*
Author to whom correspondence should be addressed.
Submission received: 27 October 2021 / Revised: 3 December 2021 / Accepted: 6 December 2021 / Published: 8 December 2021
(This article belongs to the Special Issue Respiratory Failure: Pathogenesis, Diagnosis and Treatment)

Abstract

:
Acute respiratory distress syndrome (ARDS) is a life-threatening condition defined by the acute onset of severe hypoxemia with bilateral pulmonary infiltrates, in the absence of a predominant cardiac involvement. Whereas the current Berlin definition was proposed in 2012 and mainly focused on intubated patients under invasive mechanical ventilation, the recent COVID-19 pandemic has highlighted the need for a more comprehensive definition of ARDS including patients treated with noninvasive oxygenation strategies, especially high-flow nasal oxygen therapy, and fulfilling all other diagnostic criteria. Early identification of ARDS in patients breathing spontaneously may allow assessment of earlier initiation of pharmacological and non-pharmacological treatments. In the same way, accurate identification of the ARDS etiology is obviously of paramount importance for early initiation of adequate treatment. The precise underlying etiological diagnostic (bacterial, viral, fungal, immune, malignant, drug-induced, etc.) as well as the diagnostic approach have been understudied in the literature. To date, no clinical practice guidelines have recommended structured diagnostic work-up in ARDS patients. In addition to lung-protective ventilation with the aim of preventing worsening lung injury, specific treatment of the underlying cause has a central role to improve outcomes. In this review, we discuss early identification of ARDS in non-intubated patients breathing spontaneously and propose a structured diagnosis work-up.

1. Introduction

Acute respiratory distress syndrome (ARDS) was reported for the first time in 1967 in 12 patients with sudden respiratory failure due to a non-cardiogenic pulmonary edema [1]. None of these patients had underlying pulmonary disease, and they rapidly developed acute hypoxemia, stiff lungs, and diffuse bilateral alveolar infiltrates on chest radiograph a few days after a precipitating factor. Autopsy was performed in the 7 deceased patients and all but one had a characteristic histological pattern of diffuse alveolar damage including hyaline membranes, edema, cell necrosis and proliferation [2]. Chronology of histological lesions is characterized by an early exudative phase with intra-alveolar edema due to altered permeability of the alveolar-capillary membrane, followed by a proliferative phase of repair with intense proliferation of alveolar type-2 cells and fibroblasts, leading to normal tissue resolution or progress toward fibrosis [3]. Although diffuse alveolar damage is usually considered as the morphological hallmark of ARDS lungs, this typical pattern is actually found in less than half of the patients with clinical criteria for ARDS [4,5]. ARDS is caused by numerous etiologies of pulmonary as well as extra-pulmonary origin (Table 1). Whatever the underlying cause or the underlying histological lesion, diffuse alveolar edema and alveolar collapse decrease the available lung volume for ventilation and consequently lung compliance which, alongside microcirculation impairment, lead to ventilation-perfusion imbalances with intrapulmonary shunt and dead space [6]. In addition to lung-protective ventilation aimed at mitigating lung injury, accurate identification of the ARDS etiology is obviously of paramount importance for initiation of adequate treatment [7]. The diagnostic approach has not been widely studied in the extensive literature on ARDS. In the largest epidemiological study performed to date on ARDS (the LUNG SAFE study) [8], whereas pneumonia was reported as the main reason of ARDS, no bacterial or viral documentation was mentioned, and exams such as lung computed tomography or broncho-alveolar lavage were uncommon, even in patients without risk factor for ARDS [9]. Given the large heterogeneity of risk factors triggering ARDS, a systematic diagnostic approach should be proposed so as to accurately identify the cause of ARDS, as soon as evidence for community-acquired pneumonia has not been found during first-line diagnosis.
COVID-19 was the main reason for ARDS during recent months and was not in itself a diagnosis issue. However, the huge influx of patients in intensive care units (ICUs) during the COVID-19 pandemic has led intensivists to treat a large number of patients with noninvasive oxygenation strategies outside ICUs due to the limited number of beds available [10]. The current definition of ARDS focuses mainly on intubated patients under invasive mechanical ventilation and does not determine whether these patients treated without positive pressure ventilation meet the criteria for ARDS. A revision of this definition is probably needed with aimed at determining whether patients breathing spontaneously with noninvasive oxygenation strategies meet criteria for ARDS [11]. Earlier identification of ARDS before intubation may potentially change therapeutic strategies and future research.

2. Definition of ARDS

The first clinical definition of ARDS was proposed by an international American–European Consensus Conference in 1994 [12], and used the four following criteria: [1] acute onset of hypoxemia, [2] PaO2 to FiO2 ratio ≤200 mm Hg, [3] bilateral infiltrates on chest radiograph, and [4] pulmonary artery wedge pressure ≤18 mm Hg or no clinical sign of left atrial hypertension [12]. Patients meeting all these criteria but having less severe hypoxemia with a PaO2/FiO2 ratio between 201 and 300 mmHg were considered as having acute lung injury, not ARDS. Whereas these clinical criteria for ARDS have been widely adopted by clinicians and researchers, their application has raised some issues over time and this definition has been criticized on each criterion [13], leading in 2012 to a new definition, the Berlin definition [14].
The changes proposed in the Berlin definition addressed most of the previous definition limitations. First, the “acute onset” of ARDS was specified, and respiratory symptoms must appear or worsen within 7 days of a clinical insult. Timing accuracy enables exclusion of patients who develop respiratory failure over several weeks such as idiopathic pulmonary fibrosis, nonspecific interstitial pneumonitis, bronchiolitis obliterans with organizing pneumonia, or granulomatosis with polyangiitis [15]. Second, severity has been classified according to hypoxemia: mild when PaO2/FiO2 ratio is between 201 and 300 mmHg, moderate when PaO2/FiO2 ratio is between 101 and 200 mmHg, and severe when PaO2/FiO2 ratio is equal to or below 100 mmHg [14]. Oxygenation criteria were well-correlated to severity with mortality increasing from 27% in mild, to 32% in moderate, and up to 45% in severe ARDS. As a major limitation of the previous definition was assessment of PaO2/FiO2 ratio regardless of the positive pressure used [16,17], the Berlin definition stated that PaO2/FiO2 ratio had to be measured with a positive end-expiratory pressure (PEEP) level of at least 5 cmH2O [14]. Third, as high values of pulmonary wedge pressure are commonly observed in patients with ARDS [18,19] and since the routine use of pulmonary artery catheter is pointless for hemodynamic management [20], the Berlin definition stated that respiratory failure must not be fully explained by cardiac failure of fluid overload as judged by the clinician or confirmed by echocardiography. Fourth, as chest radiographs have only moderate inter-observer reliability [21,22], the Berlin definition considered radiological findings as bilateral opacities not only on chest X-ray, but also on CT-scan. Using the Berlin definition, the large international observational LUNG SAFE study reported that ARDS represented around 10% of ICU admissions and 23% of patients requiring invasive mechanical ventilation [8]. This represented at least 5 patients per bed and per year. Overall hospital mortality was 40%, and up to 46% for severe ARDS. However, this study highlighted the poor recognition of ARDS criteria by clinicians, especially for mild forms that were recognized in only half of the patients, depriving them of access to effective secondary prevention measures [23]. Early recognition of ARDS in these less severely hypoxemic patients appears to be an important issue, insofar as half of them worsen in severity during the first week, with high mortality [24].
Despite these changes, numerous limitations persist in the Berlin definition. First, even though adjustment of PEEP level and FiO2 have a major influence on oxygenation, ARDS severity is assessed on a single blood gas measurement without prior standardized ventilator settings. Oxygenation is always better with high than with lower PEEP levels [25,26,27,28]. After increasing PEEP, several studies have shown that a high proportion of patients had their category of severity modified, from severe to moderate or mild, or from moderate to mild [29,30,31]. FiO2 variations may also be associated with significant changes in PaO2/FiO2 ratio [17,29], and it has been shown that, for the same PaO2/FiO2 ratio, patients ventilated with high FiO2 had higher mortality than those ventilated with lower FiO2 [16]. Likewise, time from optimization of ventilator settings to PaO2/FiO2 measurement seems crucial. Indeed, Villar and colleagues reported that mortality was more reliably predicted according to the three categories of severity when PaO2/FiO2 ratio was measured with a PEEP level of at least 10 cm H2O, and with FiO2 level of at least 50% [30,31]. Moreover, assessment of PaO2/FiO2 ratio yielded a more clinically relevant ARDS classification when measured 24 h after ARDS onset, and therefore, standardized ventilator settings with a PEEP level of at least 10 cm H2O and the persistence of hypoxemia may help to improve ARDS classification. Second, assessment of lung opacity extension using chest radiographs remains a major limitation. ARDS can encompass patients with lobar opacities involving only the 2 lower quadrants (focal ARDS) as well as patients with diffuse opacities involving the 4 quadrants (diffuse ARDS). However, the most adequate strategy of mechanical ventilation could be different according to lung morphology, especially including higher PEEP levels in patients with diffuse opacities than in those with lobar opacities [32,33]. Whereas personalized mechanical ventilation tailored to lung morphology may improve outcomes, it has been shown that patients are frequently misclassified as diffuse or focal when assessment is based on chest radiographs alone [33]. Diffuse opacities involving the four quadrants also seem to be a strong marker of diffuse alveolar damage [3]. Whereas extension of opacities may impact therapeutics and outcomes [34], it often remains poorly assessed in clinical practice. Lastly, up until the Berlin definition, ARDS was considered only in patients intubated under invasive mechanical ventilation. As a footnote, the Berlin definition specified that patients receiving noninvasive continuous positive airway pressure of at least 5 cm H2O may be considered as mild ARDS cases. It is disappointing that the issue of patients treated noninvasively was not addressed in the Berlin definition, even though noninvasive ventilation was being increasingly used for management of ARDS. A few years later, the LUNG SAFE study showed that 15% of ARDS cases were managed with noninvasive ventilation and that classification of ARDS severity based on PaO2/FiO2 measured under noninvasive ventilation was well- correlated to the risk of intubation and mortality [35]. These findings showed that patients treated with noninvasive ventilation could be considered moderate or even severe, as well as mild ARDS. At the same time, while high-flow nasal cannula oxygen therapy has grown worldwide in management of acute respiratory failure [36], these patients still cannot be considered as ARDS according to the Berlin definition, since their positive airway pressure remains lower than 5 cm H2O. Given all these limitations, it is high time to revise the current definition to determine whether patients with diffuse opacities and breathing spontaneously under noninvasive oxygenation strategies could be considered at an earlier stage in the course of respiratory failure as ARDS cases.

3. Early Identification of ARDS in Patients Breathing Spontaneously

The huge influx of ICU patients during the COVID-19 pandemic has led intensivists to treat a large number of patients with noninvasive oxygenation strategies due to ventilator shortage [37], and even outside ICUs due to the limited number of available beds [10]. These patients were treated in the ward with high-flow nasal oxygen, continuous positive airway pressure or noninvasive ventilation and only those requiring intubation were admitted to an ICU. The current definition of ARDS focuses only on intubated patients under invasive mechanical ventilation and does not consider patients breathing spontaneously as having ARDS, even if they meet all the other clinical criteria for ARDS. Indeed, according to the Berlin definition, a minimal PEEP level of 5 cm H2O is needed to meet clinical criteria for ARDS, which is usually not reached using high-flow nasal oxygen, even with a flow at least 50 L/min [38,39]. And even if the Berlin definition considers patients treated with noninvasive ventilation as having ARDS, they can only be considered as mild ARDS. However, the greater the severity of hypoxemia under noninvasive ventilation, the higher the risk of intubation and mortality [35,40,41,42]. The rates of intubation for patients with acute respiratory failure treated in ICUs with noninvasive ventilation or high-flow nasal oxygen range from 35 to 55% [35,36,40,41], meaning that a high proportion of patients will be considered as ARDS patients once invasive mechanical ventilation is initiated, and at least those with persistent hypoxemia and bilateral infiltrates. Besides the fact that these patients will be belatedly identified as ARDS cases, we cannot rule out the possibility that those successfully treated with noninvasive oxygenation strategies had ARDS and could have benefited from the same pharmacological treatments.
Patients could even be identified at an earlier stage as having ARDS while breathing spontaneously under standard oxygen. In a study pooling 219 ICU patients treated first with standard oxygen and then with noninvasive ventilation for acute hypoxemic respiratory failure, 180 (82%) had bilateral infiltrates [43]. Among those with PaO2/FiO2 ≤ 300 mm Hg under standard oxygen, 94% fulfilled criteria for ARDS once NIV was applied with a PEEP level of at least 5 cm H2O, meaning that almost all patients admitted to ICU with pulmonary bilateral infiltrates and a PaO2/FiO2 ≤ 300 mm Hg under standard oxygen meet ARDS criteria. Although PaO2/FiO2 was significantly higher and the proportion of patients with severe hypoxemia significantly lower with NIV than with standard oxygen, few patients increased their PaO2/FiO2 above 300 mm Hg and therefore almost all of them still met the ARDS criteria. In this study, in-ICU mortality rate was 29% in patients with bilateral infiltrates and PaO2/FiO2 less than or equal to 300 mm Hg under standard oxygen [43], a rate very close to that of intubated patients with ARDS according to the Berlin definition (30%) [14], and only slightly lower than the 35% reported in intubated patients included in the LUNG SAFE study [8]. To accurately estimate FiO2 in patients breathing spontaneously with a reservoir bag mask, the 3% formula (FiO2 estimated = 3% per L of oxygen + 21%) seems optimal [44].
High-flow nasal cannula oxygen therapy has been widely used for management of respiratory failure due to COVID-19 [37,45,46,47,48,49]. In 2015, a randomized controlled trial showed for the first time that high-flow nasal oxygen (with a flow of 50 L/min) may reduce mortality of patients with acute hypoxemic respiratory failure as compared to standard oxygen or noninvasive ventilation using face mask [36]. Although high-flow nasal oxygen may generate continuous positive airway pressure above 5 cm H2O with a particularly high flow exceeding 50 L/min and with mouth closed, PEEP levels are often 2–3 cm H2O and remain lower than the levels needed to reach ARDS criteria [38,39]. Nonetheless, it has been shown that biomarkers of inflammation and injury in patients with bilateral infiltrates and acute respiratory failure treated by high-flow nasal oxygen increased to values similar to those of ARDS patients under invasive mechanical ventilation [50]. During the COVID-19 pandemic, the rates of intubation were particularly high in patients treated with high-flow nasal oxygen as first-line oxygenation strategy [37,45,46,47,48,49], meaning that these patients could have been considered as ARDS cases as soon as high-flow nasal oxygen was initiated. Besides, a new definition for ARDS including patients treated with high-flow nasal oxygen set at a flow at least 30 L/min has recently been proposed, taking as a given fact that patients with COVID-19 actually have ARDS [51].
Early identification of ARDS is likely to be a major issue in assessment of future pharmacological and non-pharmacological treatments. Numerous anti-inflammatory drugs have been unsuccessfully assessed in ARDS. Steroids were initially evaluated at a late stage in the course of ARDS with the aim of preventing evolution toward fibrosis [52,53,54]. However, mortality was significantly higher when steroids were started after 2 weeks of evolution [54]. By contrast, several studies in which steroids were started early in the course of ARDS, i.e., within the first 3 days after intubation, have shown beneficial effects on outcomes with a decreased risk of death [55,56]. During the COVID-19 pandemic, it was shown that steroids significantly reduced the risk of death not only in patients under invasive mechanical ventilation, but also in patients breathing spontaneously under standard oxygen [57]. COVID-19 is characterized by a marked systemic inflammatory response and in this setting, steroids may be particularly effective. However, it cannot be ruled out that steroids could be beneficial in all forms of ARDS when initiated at an early stage [58]. Early identification of ARDS would allow assessment of anti-inflammatory drugs or future pharmacological treatments at a much earlier stage of the disease. Recognition of ARDS at an early stage might also be of paramount importance to initiate lung-protective measures in patients breathing spontaneously with a high respiratory drive. Indeed, an emerging concept, known as patient self-inflicted lung injury, deals with the risk of progression of lung injury in patients with respiratory failure generating large tidal volumes and subsequent high transpulmonary pressures [59]. Similarly, prone positioning has demonstrated its efficacy in ARDS treatment amongst invasively ventilated patients [60], and was recently proposed, with promising results regarding the risk of intubation in COVID-19 patients undergoing high-flow nasal oxygen [61]. Therefore, early identification of ARDS in patients breathing spontaneously and not yet intubated could be useful as well for early initiation of anti-inflammatory drugs as for lung-protective measures. We believe that the future definition could consider patients treated with at least 30 L/min of high-flow oxygen or with noninvasive ventilation as in fact having ARDS and allow to consider severity as mild, moderate or severe ARDS according to their PaO2/FiO2 measured under this noninvasive oxygenation strategy, and not only as mild ARDS.

4. Proposed Diagnostic Approach for Identification of ARDS Etiology

Usual risk factors triggering ARDS include direct injury of pulmonary origin (pneumonia, aspiration, toxic inhalation, lung contusion, near-drowning and pulmonary vasculitis) and indirect injury of extra-pulmonary origin (non-pulmonary sepsis, pancreatitis, non-cardiogenic shock, major trauma, blood transfusion, drug overdose, severe burns) (Table 1) [12]. In the LUNG-SAFE study, pneumonia was the most common risk factor representing approximately 60% of all ARDS cases [8]. However, pulmonary infection was not documented, and no data were provided concerning the bacteria, viral, fungal or other origin of pneumonia.
In case of pulmonary ARDS, a first-line diagnostic work-up should include a detailed and complete search for any underlying pulmonary infection. Viral pulmonary infection can easily be identified using RT-PCR (SARS-CoV2 and seasonal Coronavirus, Influenza, Parainfluenza, Rhinovirus, Respiratory syncytial virus, Human Metapneumovirus, Adenovirus, Bocavirus, and Enterovirus) from nasal swab in non-intubated patients or from tracheal aspirates in intubated patients. Alongside standard microbiology on tracheal aspirates in intubated patients, blood culture, and urine antigens (Streptococcus pneumoniae and Legionella pneumophila) as recommended in diagnostic strategy for severe pneumonia [62], new molecular tools could improve the accuracy of bacterial diagnosis, and help clinicians to make antibiotic de-escalation decisions [63,64].
To date, no clinical practice guidelines have recommended structured diagnostic work-up in ARDS patients. In the LUNG SAFE study, lung CT-scan, bronchoalveolar lavage or auto-immunity tests were seldom performed, even in ARDS patients without documented diagnostic [8]. In the absence of obvious diagnosis and in case of non-documented pneumonia, we propose here a second-line diagnostic work-up (Table 2). Some less common micro-organisms responsible for atypical pneumonia may be diagnosed using molecular tools. Underlying immunocompromised status, especially any cancer, hematological disease, or human immunodeficiency virus should be suspected. Fungal pathogens mainly including Aspergillus spp. and Pneumocystis jirovecii should be considered in immunocompromised patients. Although Aspergillus spp. can be isolated from culture of tracheal aspirates in intubated patients, fiberoptic bronchoscopy is required to identify invasive pulmonary aspergillosis following galactomannan test and RT-PCR on bronchoalveolar lavage, while serum Beta-D-glucan antigens may help to rule out fungal infection in immunocompromised patients [65]. However, invasive pulmonary aspergillosis is increasingly diagnosed in critically ill non-immunocompromised patients, especially in those with viral pneumonia such as severe influenza [66,67,68] or COVID-19 [69,70,71], and bronchoalveolar lavage may be advisable to rule out invasive pulmonary aspergillosis in this setting. Bronchoalveolar lavage remains an essential diagnostic tool not only for diagnosis of pulmonary fungal infection in immunocompromised patients under invasive mechanical ventilation, but also for diagnosis of invasive pulmonary aspergillosis in patients with viral ARDS due to severe influenza or COVID-19. In these patients, several studies have reported an incidence of invasive pulmonary aspergillosis ranging from 15 to 30% of patients [66,67,68,69,70]. Whether galactomannan tests and RT-PCR on tracheal aspirates have the same performance as bronchoalveolar lavage for diagnosis of aspergillosis remains unknown [72,73].
Performing bronchoalveolar lavage in patients with acute respiratory failure while breathing spontaneously is more debatable but should be discussed according to the suspected diagnosis. Indeed, one study showed that around one-third of patients thereby increased their oxygen support, and the procedure led 15% of them to intubation [74]. A randomized controlled trial including cancer patients compared diagnosis strategy using bronchoalveolar lavage vs. noninvasive testing in patients with acute respiratory failure breathing spontaneously [75]. Whereas the need for mechanical ventilation was not significantly greater in patients who had bronchoalveolar lavage as compared to the others, noninvasive testing was not inferior to bronchoalveolar lavage as a means of identifying the cause of respiratory failure. However, galactomannan test and RT-PCR on bronchoalveolar lavage were not yet available at that time for the diagnosis of invasive pulmonary aspergillosis. Diagnostic tools have markedly improved and nowadays these tests are of paramount importance in diagnosis of invasive pulmonary aspergillosis [73]. Thereby, bronchoalveolar lavage must be considered if the main suspected diagnosis is invasive pulmonary aspergillosis, even in non-intubated patients.
In case of ARDS without usual risk factors, i.e., ARDS “mimickers”, complete diagnostic work-up including lung computed tomography, broncho-alveolar lavage and auto-immunity tests should be performed in diagnosis of ARDS etiology (Figure 1). Gibelin and colleagues showed that patients without usual risk factors represented around 7–8% of ARDS [76]. These so-called “mimickers” were divided into the following four patterns: immune, drug-induced, malignant, and idiopathic ARDS. Although these ARDS mimickers were less likely to have shock at ICU admission, they had higher mortality than patients with typical ARDS [76]. Whereas the typical time course for symptoms of idiopathic pulmonary fibrosis (usual interstitial pneumonia or nonspecific interstitial pneumonia) usually occurs over weeks or months and consequently does not meet the clinical criteria for ARDS, the mimickers may develop acute symptoms over only a few days. Pulmonary vasculitis and other auto-immune conditions can be ruled out with complete auto-immunity and hypersensitivity serological testing (Table 2). Recently, several studies have reported ARDS revealing autoimmune features such as anti-synthetase or myositis-associated antibodies in patients without extra-pulmonary manifestations [77,78,79]. However, bronchoalveolar lavage may still help in diagnosis in a number of diseases characterized by a specific alveolar inflammation cellular pattern such as increased lymphocytes in acute hypersensitivity/drug-induced ARDS, increased lymphocytes as well as increased neutrophils and eosinophils in organizing pneumonia (bronchiolitis obliterans), alveolar hemorrhage in granulomatosis with polyangiitis, or increased eosinophils in acute eosinophilic pneumonia [15]. After compete diagnostic work-up in all ARDS mimickers, Gibelin and colleagues showed that more than 75% of patients had a specific diagnosis [76]. Contrary to this study, the LUNG-SAFE study revealed that specific diagnosis was made in less than 20% of cases of ARDS mimickers [9]. However, lung CT-scan was performed in fewer than one-third of cases, bronchoalveolar lavage in fewer than 10%, and auto-immunity in only 5%, thereby underlining the need for a complete diagnostic work-up in this population.
Lastly, the role of open-lung biopsy in the work-up diagnosis of ARDS is probably limited to rare cases without diagnosis, especially when searching for cancer or organizing pneumonia. Over twenty years ago, a retrospective study about 37 open-lung biopsies in ARDS patients with negative bacterial cultures suggested that it could change therapeutic management in the majority of cases, particularly with a histologic diagnosis of cytomegalovirus pneumonia in more than half of cases [80]. These findings must be considered with caution in the era of molecular biology diagnosis since cytomegalovirus is currently more easily diagnosed using RT-PCR in bronchoalveolar lavage. In a more recent study, Guerin and colleagues showed that diffuse alveolar damage was the main histological lesion observed in open-lung biopsies for non-resolving ARDS [81]. Whereas the other patients exhibited interstitial lung fibrosis, organized pneumonia, alveolar hemorrhage or cancer, no major change in therapeutic strategy could be proposed. Consequently, the need for open-lung biopsy is nowadays uncommon and should be discussed only in highly selected patients without risk factor for ARDS and without underlying diagnosis despite complete work-up [82].

5. Conclusions

Expending the ARDS definition with the aim of including patients treated with noninvasive oxygenation strategies and meeting all other criteria may enable early identification of ARDS and early initiation of therapeutic strategies. A complete diagnostic work-up initially including viral and bacterial pathogens, and subsequently including lung computed tomography, bronchoalveolar lavage and auto-immunity tests is needed for the diagnosis of ARDS without evident etiology.

Author Contributions

Conceptualization, F.A. and A.W.T.; writing—review and editing, F.A.; R.C. and A.W.T.; supervision, R.C. and A.W.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ashbaugh, D.; Bigelow, D.B.; Petty, T.; Levine, B. Acute respiratory distress in the adult. Lancet 1967, 290, 319–323. [Google Scholar] [CrossRef]
  2. Katzenstein, A.L.; Bloor, C.M.; Leibow, A.A. Diffuse alveolar damage-The role of oxygen, shock, and related factors. A review. Am. J. Pathol. 1976, 85, 209–228. [Google Scholar] [PubMed]
  3. Thille, A.W.; Esteban, A.; Fernández-Segoviano, P.; Rodriguez, J.-M.; Aramburu, J.-A.; Vargas-Errázuriz, P.; Martín-Pellicer, A.; Lorente, A.J.; Frutos-Vivar, F. Chronology of histological lesions in acute respiratory distress syndrome with diffuse alveolar damage: A prospective cohort study of clinical autopsies. Lancet Respir. Med. 2013, 1, 395–401. [Google Scholar] [CrossRef]
  4. Thille, A.W.; Esteban, A.; Fernández-Segoviano, P.; Rodriguez, J.-M.; Aramburu, J.-A.; Peñuelas, O.; Cortés-Puch, I.; Cardinal-Fernández, P.; Lorente, J.A.; Frutos-Vivar, F. Comparison of the Berlin Definition for Acute Respiratory Distress Syndrome with Autopsy. Am. J. Respir. Crit. Care Med. 2013, 187, 761–767. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Cardinal-Fernández, P.; Bajwa, E.K.; Dominguez-Calvo, A.; Menéndez, J.M.; Papazian, L.; Thompson, B.T. The Presence of Diffuse Alveolar Damage on Open Lung Biopsy is Associated with Mortality in Patients with Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis. Chest 2016, 149, 1155–1164. [Google Scholar] [CrossRef] [PubMed]
  6. Coudroy, R.; Chen, L.; Pham, T.; Piraino, T.; Telias, I.; Brochard, L. Acute Respiratory Distress Syndrome: Respiratory Monitoring and Pulmonary Physiology. Semin. Respir. Crit. Care Med. 2019, 40, 066–080. [Google Scholar] [CrossRef] [PubMed]
  7. Fan, E.; Brodie, D.; Slutsky, A.S. Acute Respiratory Distress Syndrome: Advances in Diagnosis and Treatment. JAMA 2018, 319, 698–710. [Google Scholar] [CrossRef] [PubMed]
  8. Bellani, G.; Laffey, J.G.; Pham, T.; Fan, E.; Brochard, L.; Esteban, A.; Gattinoni, L.; Van Haren, F.; Larsson, A.; McAuley, D.F.; et al. Epidemiology, Patterns of Care, and Mortality for Patients with Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries. JAMA 2016, 315, 788–800. [Google Scholar] [CrossRef] [PubMed]
  9. De Prost, N.; Pham, T.; Carteaux, G.; Mekontso Dessap, A.; Brun-Buisson, C.; Fan, E.; Bellani, G.; Laffey, J.; Mercat, A.; Brochard, L.; et al. Etiologies, diagnostic work-up and outcomes of acute respiratory distress syndrome with no common risk factor: A prospective multicenter study. Ann. Intensive Care 2017, 7, 69. [Google Scholar] [CrossRef] [Green Version]
  10. Franco, C.; Facciolongo, N.; Tonelli, R.; Dongilli, R.; Vianello, A.; Pisani, L.; Scala, R.; Malerba, M.; Carlucci, A.; Negri, E.A.; 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, 2002130. [Google Scholar] [CrossRef] [PubMed]
  11. Meyer, N.J.; Gattinoni, L.; Calfee, C.S. Acute respiratory distress syndrome. Lancet 2021, 398, 622–637. [Google Scholar] [CrossRef]
  12. Bernard, G.R.; Artigas, A.; Brigham, K.L.; Carlet, J.; Falke, K.; Hudson, L.; Lamy, M.; Legall, J.R.; Morris, A.; Spragg, R. The American-European Consensus Conference on ARDS. Definitions, mechanisms, relevant outcomes, and clinical trial coordination. Am. J. Respir. Crit. Care Med. 1994, 149, 818–824. [Google Scholar] [CrossRef] [PubMed]
  13. Phua, J.; Stewart, T.E.; Ferguson, N. Acute respiratory distress syndrome 40 years later: Time to revisit its definition. Crit. Care Med. 2008, 36, 2912–2921. [Google Scholar] [CrossRef] [PubMed]
  14. ARDSDefinition Task Force Ranieri, V.M.; Rubenfeld, G.D.; Thompson, B.T.; Ferguson, N.D.; Caldwell, E.; Fan, E.; Camporota, L.; Slutsky, A.S. Acute respiratory distress syndrome: The Berlin Definition. JAMA 2012, 307, 2526–2533. [Google Scholar]
  15. Guérin, C.; Thompson, T.; Brower, R. The ten diseases that look like ARDS. Intensive Care Med. 2014, 41, 1099–1102. [Google Scholar] [CrossRef]
  16. Britos, M.; Smoot, E.; Liu, K.D.; Thompson, B.T.; Checkley, W.; Brower, R.G.; National Institutes of Health Acute Respiratory Distress Syndrome Network Investigators. The value of positive end-expiratory pressure and Fio2 criteria in the definition of the acute respiratory distress syndrome. Crit. Care Med. 2011, 39, 2025–2030. [Google Scholar] [CrossRef]
  17. Aboab, J.; Louis, B.; Jonson, B.; Brochard, L. Relation between PaO2/FIO2 ratio and FIO2: A mathematical description. Intensive Care Med. 2006, 32, 1494–1497. [Google Scholar] [CrossRef] [PubMed]
  18. National Heart, Lung and Blood Institute Acute Respiratory Distress Syndrome (ARDS) Clinical Trials Network; Wheeler, A.P.; Bernard, G.R.; Thompson, B.T.; Schoenfeld, D.; Wiedemann, H.P.; de Boisblanc, B.; Connors, A.F., Jr.; Hite, J.D.; Harabin, A.L. Pulmonary-artery versus central venous catheter to guide treatment of acute lung injury. N. Engl. J. Med. 2006, 354, 2213–2224. [Google Scholar] [CrossRef] [PubMed]
  19. Ferguson, N.; Meade, M.O.; Hallett, D.C.; Stewart, T.E. High values of the pulmonary artery wedge pressure in patients with acute lung injury and acute respiratory distress syndrome. Intensive Care Med. 2002, 28, 1073–1077. [Google Scholar] [CrossRef] [PubMed]
  20. Richard, C.; Warszawski, J.; Anguel, N.; Deye, N.; Combes, A.; Barnoud, D.; Boulain, T.; Lefort, Y.; Fartoukh, M.; Baud, F.; et al. Early Use of the Pulmonary Artery Catheter and Outcomes in Patients with Shock and Acute Respiratory Distress SyndromeA Randomized Controlled Trial. JAMA 2003, 290, 2713–2720. [Google Scholar] [CrossRef]
  21. Meade, M.O.; Cook, R.J.; Guyatt, G.H.; Groll, R.; Kachura, J.R.; Bédard, M.; Cook, D.J.; Slutsky, A.S.; Stewart, T.E. Interobserver Variation in Interpreting Chest Radiographs for the Diagnosis of Acute Respiratory Distress Syndrome. Am. J. Respir. Crit. Care Med. 2000, 161, 85–90. [Google Scholar] [CrossRef]
  22. Panizo-Alcañiz, J.; Frutos-Vivar, F.; Thille, A.W.; Peñuelas, Ó.; Aguilar-Rivilla, E.; Muriel, A.; Rodríguez-Barbero, J.M.; Jaramillo, C.; Nin, N.; Esteban, A. Diagnostic accuracy of portable chest radiograph in mechanically ventilated patients when compared with autopsy findings. J. Crit. Care 2020, 60, 6–9. [Google Scholar] [CrossRef] [PubMed]
  23. Bellani, G.; Pham, T.; Laffey, J.G. Missed or delayed diagnosis of ARDS: A common and serious problem. Intensive Care Med. 2020, 46, 1180–1183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Pham, T.; Serpa Neto, A.; Pelosi, P.; Laffey, J.G.; De Haro, C.; Lorente, J.A.; Bellani, G.; Fan, E.; Brochard, L.J.; Pesenti, A.; et al. Outcomes of Patients Presenting with Mild Acute Respiratory Distress Syndrome: Insights from the LUNG SAFE Study. Anesthesiology 2019, 130, 263–283. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Mercat, A.; Richard, J.-C.M.; Vielle, B.; Jaber, S.; Osman, D.; Diehl, J.-L.; Lefrant, J.; Prat, G.; Richecoeur, J.; Nieszkowska, A.; et al. Positive end-expiratory pressure setting in adults with acute lung injury and acute respiratory distress syndrome: A randomized controlled trial. JAMA 2008, 299, 646–655. [Google Scholar] [CrossRef] [Green Version]
  26. Meade, M.O.; Cook, D.J.; Guyatt, G.H.; Slutsky, A.S.; Arabi, Y.M.; Cooper, D.J.; Cooper, D.J.; Davies, A.R.; Hand, L.F.; Zhou, Q.; et al. Ventilation strategy using low tidal volumes, recruitment maneuvers, and high positive end-expiratory pressure for acute lung injury and acute respiratory distress syndrome: A randomized controlled trial. JAMA 2008, 299, 637–645. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Brower, R.G.; Lanken, P.N.; MacIntyre, N.; Matthay, A.M.; Morris, A.; Ancukiewicz, M.; Schoenfeld, D.; Thompson, B.T.; National Heart, Lung, and Blood Institute ARDS Clinical Trials Network. Higher versus Lower Positive End-Expiratory Pressures in Patients with the Acute Respiratory Distress Syndrome. N. Engl. J. Med. 2004, 351, 327–336. [Google Scholar] [CrossRef] [Green Version]
  28. Briel, M.; Meade, M.; Mercat, A.; Brower, R.G.; Talmor, D.; Walter, S.D.; Slutsky, A.S.; Pullenayegum, E.; Zhou, Q.; Cook, D.; et al. Higher vs lower positive end-expiratory pressure in patients with acute lung injury and acute respiratory distress syndrome: Systematic review and meta-analysis. JAMA 2010, 303, 865–873. [Google Scholar] [CrossRef] [PubMed]
  29. Ferguson, N.D.; Kacmarek, R.M.; Chiche, J.-D.; Singh, J.M.; Hallett, D.C.; Mehta, S.; Stewart, T.E. Screening of ARDS patients using standardized ventilator settings: Influence on enrollment in a clinical trial. Intensive Care Med. 2004, 30, 1111–1116. [Google Scholar] [CrossRef]
  30. Villar, J.; Pérez-Méndez, L.; Blanco, J.; Añón, J.M.; Blanch, L.; Belda, J.; Santos-Bouza, A.; Fernández, R.L.; Kacmarek, R.M.; Spanish Initiative for Epidemiology, Stratification, and Therapies for ARDS (SIESTA) Network. A universal definition of ARDS: The PaO2/FiO2 ratio under a standard ventilatory setting-a prospective, multicenter validation study. Intensive Care Med. 2013, 39, 583–592. [Google Scholar] [CrossRef]
  31. Villar, J.; Pérez-Méndez, L.; López, J.; Belda, J.; Blanco, J.; Saralegui, I.; Suárez-Sipmann, F.; López, J.; Lubillo, S.; Kacmarek, R.M.; et al. An Early PEEP/FiO2 Trial Identifies Different Degrees of Lung Injury in Patients with Acute Respiratory Distress Syndrome. Am. J. Respir. Crit. Care Med. 2007, 176, 795–804. [Google Scholar] [CrossRef] [PubMed]
  32. Puybasset, L.; Gusman, P.; Muller, J.C.; Cluzel, P.; Coriat, P.; Rouby, J.J. Regional distribution of gas and tissue in acute respiratory distress syndrome. III. Consequences for the effects of positive end-expiratory pressure. CT Scan ARDS Study Group. Adult Respiratory Distress Syndrome. Intensive Care Med. 2000, 26, 1215–1227. [Google Scholar] [CrossRef]
  33. Constantin, J.-M.; Jabaudon, M.; Lefrant, J.-Y.; Jaber, S.; Quenot, J.-P.; Langeron, O.; Ferrandière, M.; Grelon, F.; Seguin, P.; Ichai, C.; et al. Personalised mechanical ventilation tailored to lung morphology versus low positive end-expiratory pressure for patients with acute respiratory distress syndrome in France (the LIVE study): A multicentre, single-blind, randomised controlled trial. Lancet Respir. Med. 2019, 7, 870–880. [Google Scholar] [CrossRef]
  34. Pham, T.; Pesenti, A.; Bellani, G.; Rubenfeld, G.; Fan, E.; Bugedo, G.; Lorente, J.A.; Fernandes, A.D.V.; Van Haren, F.; Bruhn, A.; et al. Outcome of acute hypoxaemic respiratory failure: Insights from the LUNG SAFE Study. Eur. Respir. J. 2020, 57, 2003317. [Google Scholar] [CrossRef]
  35. Bellani, G.; Laffey, J.G.; Pham, T.; Madotto, F.; Fan, E.; Brochard, L.; Esteban, A.; Gattinoni, L.; Bumbasirevic, V.; Piquilloud, L.; et al. Noninvasive Ventilation of Patients with Acute Respiratory Distress Syndrome. Insights from the LUNG SAFE Study. Am. J. Respir. Crit. Care Med. 2017, 195, 67–77. [Google Scholar] [CrossRef] [Green Version]
  36. Frat, J.-P.; Thille, A.W.; Mercat, A.; Girault, C.; Ragot, S.; Perbet, S.; Prat, G.; Boulain, T.; Morawiec, E.; Cottereau, A.; et al. High-Flow Oxygen through Nasal Cannula in Acute Hypoxemic Respiratory Failure. N. Engl. J. Med. 2015, 372, 2185–2196. [Google Scholar] [CrossRef] [Green Version]
  37. Demoule, A.; Baron, A.V.; Darmon, M.; Beurton, A.; Géri, G.; Voiriot, G.; Dupont, T.; Zafrani, L.; Girodias, L.; Labbé, V.; et al. High-Flow Nasal Cannula in Critically III Patients with Severe COVID-19. Am. J. Respir. Crit. Care Med. 2020, 202, 1039–1042. [Google Scholar] [CrossRef] [PubMed]
  38. Groves, N.; Tobin, A. High flow nasal oxygen generates positive airway pressure in adult volunteers. Aust. Crit. Care 2007, 20, 126–131. [Google Scholar] [CrossRef] [PubMed]
  39. Parke, R.L.; Eccleston, M.L.; McGuinness, S.P. The Effects of Flow on Airway Pressure During Nasal High-Flow Oxygen Therapy. Respir. Care 2011, 56, 1151–1155. [Google Scholar] [CrossRef] [PubMed]
  40. Coudroy, R.; Frat, J.-P.; Thille, A.W. Could Noninvasive Ventilation Failure Rates Be Underestimated in the LUNG SAFE Study? Am. J. Respir. Crit. Care Med. 2017, 196, 395–396. [Google Scholar] [CrossRef] [PubMed]
  41. Thille, A.W.; Contou, D.; Fragnoli, C.; Córdoba-Izquierdo, A.; Boissier, F.; Brun-Buisson, C. Non-invasive ventilation for acute hypoxemic respiratory failure: Intubation rate and risk factors. Crit. Care 2013, 17, R269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. SRLF Trial Group. Hypoxemia in the ICU: Prevalence, treatment, and outcome. Ann. Intensive Care. 2018, 8, 82. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Coudroy, R.; Frat, J.-P.; Boissier, F.; Contou, D.; Robert, R.; Thille, A.W. Early Identification of Acute Respiratory Distress Syndrome in the Absence of Positive Pressure Ventilation: Implications for Revision of the Berlin Criteria for Acute Respiratory Distress Syndrome. Crit. Care Med. 2018, 46, 540–546. [Google Scholar] [CrossRef] [PubMed]
  44. Coudroy, R.; Frat, J.-P.; Girault, C.; Thille, A.W. Reliability of methods to estimate the fraction of inspired oxygen in patients with acute respiratory failure breathing through non-rebreather reservoir bag oxygen mask. Thorax 2020, 75, 805–807. [Google Scholar] [CrossRef] [PubMed]
  45. COVID-ICU Group on behalf of the REVA Network and the COVID-ICU Investigators. Clinical characteristics and day-90 outcomes of 4244 critically ill adults with COVID-19: A prospective cohort study. Intensive Care Med. 2021, 47, 60–73. [Google Scholar] [CrossRef]
  46. Gershengorn, H.B.; Hu, Y.; Chen, J.-T.; Hsieh, S.J.; Dong, J.; Gong, M.N.; Chan, C.W. The Impact of High-Flow Nasal Cannula Use on Patient Mortality and the Availability of Mechanical Ventilators in COVID-19. Ann. Am. Thorac. Soc. 2021, 18, 623–631. [Google Scholar] [CrossRef] [PubMed]
  47. Bonnet, N.; Martin, O.; Boubaya, M.; Levy, V.; Ebstein, N.; Karoubi, P.; Tandjaoui-Lambiotte, Y.; van der Meersch, G.; Oziel, J.; Soulie, M.; et al. High flow nasal oxygen therapy to avoid invasive mechanical ventilation in SARS-CoV-2 pneumonia: A retrospective study. Ann. Intensive Care 2021, 11, 37. [Google Scholar] [CrossRef] [PubMed]
  48. Grieco, D.L.; Menga, L.S.; Cesarano, M.; Rosà, T.; Spadaro, S.; Bitondo, M.M.; Montomoli, J.; Falò, G.; Tonetti, T.; Cutuli, S.L.; et al. 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. JAMA 2021, 325, 1731–1743. [Google Scholar] [CrossRef] [PubMed]
  49. Wang, K.; Zhao, W.; Li, J.; Shu, W.; Duan, J. The experience of high-flow nasal cannula in hospitalized patients with 2019 novel coronavirus-infected pneumonia in two hospitals of Chongqing, China. Ann. Intensive Care 2020, 10, 37. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. García-de-Acilu, M.; Marin-Corral, J.; Vázquez, A.; Ruano, L.; Magret, M.; Ferrer, R.; Masclans, J.R.; Roca, O. Hypoxemic Patients with Bilateral Infiltrates Treated with High-Flow Nasal Cannula Present a Similar Pattern of Biomarkers of Inflammation and Injury to Acute Respiratory Distress Syndrome Patients *. Crit. Care Med. 2017, 45, 1845–1853. [Google Scholar] [CrossRef] [PubMed]
  51. Matthay, M.A.; Thompson, B.T.; Ware, L.B. The Berlin definition of acute respiratory distress syndrome: Should patients receiving high-flow nasal oxygen be included? Lancet Respir Med. 2021, 9, 933–936. [Google Scholar] [CrossRef]
  52. Meduri, G.U.; Chinn, A.J.; Leeper, K.V.; Wunderink, R.G.; Tolley, E.; Winer-Muram, H.T.; Khare, V.; Eltorky, M. Corticosteroid Rescue Treatment of Progressive Fibroproliferation in Late ARDS. Chest 1994, 105, 1516–1527. [Google Scholar] [CrossRef]
  53. Meduri, U.G.; Headley, S.A.; Golden, E.; Carson, S.J.; Umberger, R.A.; Kelso, T.; Tolley, E.A. Effect of Prolonged Methylprednisolone Therapy in Unresolving Acute Respiratory Distress Syndrome: A Randomized Controlled Trial. Surv. Anesthesiol. 1999, 43, 135–136. [Google Scholar] [CrossRef]
  54. Steinberg, K.P.; Hudson, L.D.; Goodman, R.B.; Hough, C.L.; Lanken, P.N.; Hyzy, R.; Thompson, B.T.; Ancukiewicz, M.; National Heart, Lung, and Blood Institute Acute Respiratory Distress Syndrome (ARDS) Clinical Trials Network. Efficacy and Safety of Corticosteroids for Persistent Acute Respiratory Distress Syndrome. N. Engl. J. Med. 2006, 354, 1671–1684. [Google Scholar] [CrossRef]
  55. Meduri, G.U.; Golden, E.; Freire, A.X.; Taylor, E.; Zaman, M.; Carson, S.J.; Gibson, M.; Umberger, R. Methylprednisolone infusion in early severe ARDS: Results of a randomized controlled trial. Chest 2007, 131, 954–963. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Villar, J.; Ferrando, C.; Martínez, D.; Ambrós, A.; Muñoz, T.; Soler, J.A.; Aguilar, G.; Alba, F.; González-Higueras, E.; Conesa, L.A.; et al. Dexamethasone treatment for the acute respiratory distress syndrome: A multicentre, randomised controlled trial. Lancet Respir. Med. 2020, 8, 267–276. [Google Scholar] [CrossRef]
  57. RECOVERY Collaborative Group; Horby, P.; Lim, W.S.; Emberson, J.R.; Mafham, M.; Bell, J.L.; Linsell, L.; Staplin, N.; Brightling, C.; Ustianowski, A.; et al. Dexamethasone in Hospitalized Patients with Covid-19. N. Engl. J. Med. 2021, 384, 693–704. [Google Scholar]
  58. Chaudhuri, D.; Sasaki, K.; Karkar, A.; Sharif, S.; Lewis, K.; Mammen, M.J.; Alexander, P.; Ye, Z.; Lozano, L.E.C.; Munch, M.W.; et al. Corticosteroids in COVID-19 and non-COVID-19 ARDS: A systematic review and meta-analysis. Intensive Care Med. 2021, 47, 521–537. [Google Scholar] [CrossRef] [PubMed]
  59. Brochard, L.; Slutsky, A.; Pesenti, A. Mechanical Ventilation to Minimize Progression of Lung Injury in Acute Respiratory Failure. Am. J. Respir. Crit. Care Med. 2017, 195, 438–442. [Google Scholar] [CrossRef] [PubMed]
  60. Guérin, C.; Reignier, J.; Richard, J.-C.; Beuret, P.; Gacouin, A.; Boulain, T.; Mercier, E.; Badet, M.; Mercat, A.; Baudin, O.; et al. Prone Positioning in Severe Acute Respiratory Distress Syndrome. N. Engl. J. Med. 2013, 368, 2159–2168. [Google Scholar] [CrossRef] [PubMed]
  61. Ehrmann, S.; Li, J.; Ibarra-Estrada, M.; Perez, Y.; Pavlov, I.; McNicholas, B.; Roca, O.; Mirza, S.; Vines, D.; Garcia-Salcido, R.; et al. Awake prone positioning for COVID-19 acute hypoxaemic respiratory failure: A randomised, controlled, multinational, open-label meta-trial. Lancet Respir. Med. 2021, 9, 1387–1395. [Google Scholar] [CrossRef]
  62. Manchanda, R. Prise en charge des infections des voies respiratoires basses de l’adulte immunocompétent. Rev. Mal. Respir. 2006, 23, 131–140. [Google Scholar] [CrossRef]
  63. Peiffer-Smadja, N.; Bouadma, L.; Mathy, V.; Allouche, K.; Patrier, J.; Reboul, M.; Montravers, P.; Timsit, J.-F.; Armand-Lefevre, L. Performance and impact of a multiplex PCR in ICU patients with ventilator-associated pneumonia or ventilated hospital-acquired pneumonia. Crit. Care 2020, 24, 1–10. [Google Scholar] [CrossRef] [PubMed]
  64. Lee, S.H.; Ruan, S.-Y.; Pan, S.-C.; Lee, T.-F.; Chien, J.-Y.; Hsueh, P.-R. Performance of a multiplex PCR pneumonia panel for the identification of respiratory pathogens and the main determinants of resistance from the lower respiratory tract specimens of adult patients in intensive care units. J. Microbiol. Immunol. Infect. 2019, 52, 920–928. [Google Scholar] [CrossRef] [PubMed]
  65. Ullmann, A.J.; Aguado, J.M.; Arikan-Akdagli, S.; Denning, D.W.; Groll, A.H.; Lagrou, K.; Lass-Flörl, C.; Lewis, R.E.; Munoz, P.E.; Verweij, P.; et al. Diagnosis and management of Aspergillus diseases: Executive summary of the 2017 ESCMID-ECMM-ERS guideline. Clin. Microbiol. Infect. 2018, 24, e1–e38. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Vanderbeke, L.; Janssen, N.A.F.; Bergmans, D.C.J.J.; Bourgeois, M.; Buil, J.B.; Debaveye, Y.; Depuydt, P.; Feys, S.; Hermans, G.; Hoiting, O.; et al. Posaconazole for prevention of invasive pulmonary aspergillosis in critically ill influenza patients (POSA-FLU): A randomised, open-label, proof-of-concept trial. Intensive Care Med. 2021, 47, 674–686. [Google Scholar] [CrossRef] [PubMed]
  67. Verweij, P.E.; Rijnders, B.J.A.; Brüggemann, R.J.M.; Azoulay, E.; Bassetti, M.; Blot, S.; Calandra, T.; Clancy, C.J.; Cornely, O.A.; Chiller, T.; et al. Review of influenza-associated pulmonary aspergillosis in ICU patients and proposal for a case definition: An expert opinion. Intensive Care Med. 2020, 46, 1524–1535. [Google Scholar] [CrossRef]
  68. Schauwvlieghe, A.F.A.D.; Rijnders, B.J.A.; Philips, N.; Verwijs, R.; Vanderbeke, L.; Van Tienen, C.; Lagrou, K.; Verweij, P.E.; Van De Veerdonk, F.L.; Gommers, D.; et al. Invasive aspergillosis in patients admitted to the intensive care unit with severe influenza: A retrospective cohort study. Lancet Respir. Med. 2018, 6, 782–792. [Google Scholar] [CrossRef]
  69. Bartoletti, M.; Pascale, R.; Cricca, M.; Rinaldi, M.; Maccaro, A.; Bussini, L.; Fornaro, G.; Tonetti, T.; Pizzilli, G.; Francalanci, E.; et al. Epidemiology of Invasive Pulmonary Aspergillosis Among Intubated Patients With COVID-19: A Prospective Study. Clin. Infect. Dis. 2020, 73, e3606–e3614. [Google Scholar] [CrossRef] [PubMed]
  70. Montrucchio, G.; Lupia, T.; Lombardo, D.; Stroffolini, G.; Corcione, S.; De Rosa, F.G.; Brazzi, L. Risk factors for invasive aspergillosis in ICU patients with COVID-19: Current insights and new key elements. Ann. Intensive Care 2021, 11, 1–11. [Google Scholar] [CrossRef] [PubMed]
  71. Gangneux, J.-P.; Dannaoui, E.; Fekkar, A.; Luyt, C.-E.; Botterel, F.; De Prost, N.; Tadié, J.-M.; Reizine, F.; Houzé, S.; Timsit, J.-F.; et al. Fungal infections in mechanically ventilated patients with COVID-19 during the first wave: The French multicentre MYCOVID study. Lancet Respir. Med. 2021. [Google Scholar] [CrossRef]
  72. Van Grootveld, R.; van Paassen, J.; de Boer, M.G.J.; Claas, E.C.J.; Kuijper, E.J.; van der Beek, M.T.; LUMC-COVID-19 Research Group. Systematic screening for COVID-19 associated invasive aspergillosis in ICU patients by culture and PCR on tracheal aspirate. Mycoses 2021, 64, 641–650. [Google Scholar] [CrossRef]
  73. Koehler, P.; Bassetti, M.; Chakrabarti, A.; Chen, S.C.A.; Colombo, A.L.; Hoenigl, M.; Klimko, N.; Lass-Flörl, C.; Oladele, R.O.; Vinh, D.C.; et al. Defining and managing COVID-19-associated pulmonary aspergillosis: The 2020 ECMM/ISHAM consensus criteria for research and clinical guidance. Lancet Infect. Dis. 2021, 21, e149–e162. [Google Scholar] [CrossRef]
  74. Cracco, C.; Fartoukh, M.; Prodanovic, H.; Azoulay, E.; Chenivesse, C.; Lorut, C.; Beduneau, G.; Bui, H.N.; Taille, C.; Brochard, L.; et al. Safety of performing fiberoptic bronchoscopy in critically ill hypoxemic patients with acute respiratory failure. Intensive Care Med. 2012, 39, 45–52. [Google Scholar] [CrossRef] [Green Version]
  75. Azoulay, E.; Mokart, D.; Lambert, J.; Lemiale, V.; Rabbat, A.; Kouatchet, A.; Vincent, F.; Gruson, D.; Bruneel, F.; Epinette-Branche, G.; et al. Diagnostic strategy for hematology and oncology patients with acute respiratory failure: Randomized controlled trial. Am. J. Respir. Crit. Care Med. 2010, 182, 1038–1046. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Gibelin, A.; Parrot, A.; Maitre, B.; Brun-Buisson, C.; Dessap, A.M.; Fartoukh, M.; De Prost, N. Acute respiratory distress syndrome mimickers lacking common risk factors of the Berlin definition. Intensive Care Med. 2015, 42, 164–172. [Google Scholar] [CrossRef] [Green Version]
  77. Vuillard, C.; Pineton de Chambrun, M.; de Prost, N.; Guérin, C.; Schmidt, M.; Dargent, A.; Quenot, J.-P.; Préau, S.; Ledoux, G.; Neuville, M.; et al. Clinical features and outcome of patients with acute respiratory failure revealing anti-synthetase or anti-MDA-5 dermato-pulmonary syndrome: A French multicenter retrospective study. Ann. Intensive Care 2018, 8, 87. [Google Scholar] [CrossRef]
  78. Grasselli, G.; Vergnano, B.; Pozzi, M.R.; Sala, V.; D’Andrea, G.; Scaravilli, V.; Mantero, M.; Pesci, A.; Pesenti, A. Interstitial pneumonia with autoimmune features: An additional risk factor for ARDS? Ann. Intensive Care 2017, 7, 98. [Google Scholar] [CrossRef] [Green Version]
  79. Fischer, A.; Antoniou, K.M.; Brown, K.K.; Cadranel, J.; Corte, T.J.; Du Bois, R.M.; Lee, J.S.; Leslie, K.O.; Lynch, D.A.; Matteson, E.L.; et al. An official European Respiratory Society/American Thoracic Society research statement: Interstitial pneumonia with autoimmune features. Eur. Respir. J. 2015, 46, 976–987. [Google Scholar] [CrossRef] [Green Version]
  80. Papazian, L.; Thomas, P.; Bregeon, F.; Garbe, L.; Zandotti, C.; Saux, P.; Gaillat, F.; Drancourt, M.; Auffray Je Gouin, F. Open-lung biopsy in patients with acute respiratory distress syndrome. Anesthesiology 1998, 88, 935–944. [Google Scholar] [CrossRef]
  81. Guerin, C.; Bayle, F.; Leray, V.; Debord, S.; Stoian, A.; Yonis, H.; Roudaut, J.B.; Bourdin, G.; Devouassoux-Shisheboran, M.; Bucher, E. Open lung biopsy in nonresolving ARDS frequently identifies diffuse alveolar damage regardless of the severity stage and may have implications for patient management. Intensive Care Med. 2015, 41, 222–230. [Google Scholar] [CrossRef]
  82. Aublanc, M.; Perinel, S.; Guérin, C. Acute respiratory distress syndrome mimics: The role of lung biopsy. Curr. Opin. Crit. Care 2017, 23, 24–29. [Google Scholar] [CrossRef]
Figure 1. Diagnostic work-up for patients with acute respiratory distress syndrome.
Figure 1. Diagnostic work-up for patients with acute respiratory distress syndrome.
Diagnostics 11 02307 g001
Table 1. Common risk factors triggering acute respiratory distress syndrome (ARDS).
Table 1. Common risk factors triggering acute respiratory distress syndrome (ARDS).
Pulmonary ARDS
(Direct Injury)
Extra-Pulmonary ARDS
(Indirect Injury)
Infectious
-
Bacterial pneumonia
-
Viral pneumonia
-
Fungal pneumonia
-
Extra-pulmonary sepsis (urinary tract, abdominal, skin/soft tissue)
Non-infectious
-
Malignant
-
Immune:
Vasculitis or Auto-immunity
-
Hypersensitivity
-
Eosinophilic pneumonia
-
Aspiration of gastric contents
-
Inhalation injury
-
Pulmonary contusion
-
Drowning
-
Idiopathic
-
Non-cardiogenic shock
-
Multiple transfusion or transfusion-related acute lung injury (TRALI)
-
Pancreatitis
-
Major trauma
-
Severe/extended burns
-
Drug-induced (systemic)
Table 2. Proposition for a second-line biological diagnostic work-up for patients with acute respiratory failure, bilateral opacities on chest X-ray and PaO2/FiO2 ratio under 300 mm Hg after exclusion of cardiogenic pulmonary edema, and no diagnosis after first-line check-up.
Table 2. Proposition for a second-line biological diagnostic work-up for patients with acute respiratory failure, bilateral opacities on chest X-ray and PaO2/FiO2 ratio under 300 mm Hg after exclusion of cardiogenic pulmonary edema, and no diagnosis after first-line check-up.
MicrobiologyAuto-Immunity–Hypersensitivity
Serum
-
Legionella, Leptospira, Rickettsia, Chlamydia pneumoniae, Chlamydia psitacci, Mycoplasma pneumoniae, Coxiella serologies
-
HIV serology
-
HSV, CMV, EBV PCR
-
Beta-D-Glucan antigen
-
Galactomannan antigen
-
Aspergillus spp. & Mucorales PCR
-
Antinuclear antibodies including anti-DNA native antibodies
-
Anti-extractable nuclear antigen (anti-ENA including anti-SM, anti-RNP, anti-SSA, anti-SSB, anti-JO-1, anti-SCL 70, anti-CENP-B)
-
Antineutrophil cytoplasmic antibodies (Anti-MPO, PR3)
-
Rheumatoid factors and anti-CCP
-
Anti-synthetase antibodies (anti-Jo1, PL7, PL12, EJ, OJ, KS, ZO, HA, SRP)
-
Myositis-associated anti-bodies (anti-Mi2, MDA5, TIF1 gamma, Ro52, SAE1, SAE2, NXP2)
-
Systemic sclerodermia-associated antibodies (anti-PM-Scl100, PM-Scl75, Ku, ARNpol III, TH/TO, fibrillarin)
-
Farm lung disease antibodies
-
Bird’s fancier lung antibodies
-
Angiotensin convertase
Sputum (if available and no BAL performed)
-
Bacterial direct examination–culture (including slow growth pathogens)
-
Fungal direct examination–culture
-
Pneumocystis jirovecii PCR
-
Pan-respiratory PCR *
Broncho-Alveolar Lavage (if performed)
-
Cytology count and pathology examination for cytology,
-
Cytopathogen effect, bacteria, fungal hyphae
-
Direct examination and culture for bacterial and fungal pathogens (including slow-growth pathogens)
-
Pan-respiratory PCR *
-
Galactomann antigen
-
Aspergillus spp., Mucorales, Pneumocystis Jirovecii PCR
-
HSV, CMV, EBV PCR
-
Cytology count looking for a neutrophilic, eosinophilic, or lymphocytic alveolitis) and pathology examination for hemosiderin quantification (alveolar hemorrhage).
* Pan-respiratory PCR (for example Biomerieux® Biofire® Filmarray® Pneumonia Plus Panel: Acinetobacter calcoaceticus-baumannii complex, Enterobacter cloacae, Escherichia coli, Haemophilus influenzae, Klebsiella aerogenes, Klebsiella oxytoca, Klebsiella pneumoniae group, Moraxella catarrhalis, Proteus spp., Pseudomonas aeruginosa, Serratia marcescens, Staphylococcus aureus, Streptococcus agalactiae, Streptococcus pneumoniae, Streptococcus pyogenes, Legionella pneumophila, Mycoplasma pneumoniae, Chlamydia pneumoniae, Influenza A and B, Parainfluenza, Adenovirus, Coronavirus, Respiratory Syncytial virus, Rhinovirus/Enterovirus, Human Metapneumovirus, Middle East Respiratory Syndrome Coronavirus).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Arrivé, F.; Coudroy, R.; Thille, A.W. Early Identification and Diagnostic Approach in Acute Respiratory Distress Syndrome (ARDS). Diagnostics 2021, 11, 2307. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics11122307

AMA Style

Arrivé F, Coudroy R, Thille AW. Early Identification and Diagnostic Approach in Acute Respiratory Distress Syndrome (ARDS). Diagnostics. 2021; 11(12):2307. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics11122307

Chicago/Turabian Style

Arrivé, François, Rémi Coudroy, and Arnaud W. Thille. 2021. "Early Identification and Diagnostic Approach in Acute Respiratory Distress Syndrome (ARDS)" Diagnostics 11, no. 12: 2307. https://0-doi-org.brum.beds.ac.uk/10.3390/diagnostics11122307

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop