Next Article in Journal
Lifestyle and Lipoprotein(a) Levels: Does a Specific Counseling Make Sense?
Previous Article in Journal
Cesarean Uterine Lacerations and Prematurity in the Following Delivery: A Retrospective Longitudinal Follow-Up Cohort Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Role of Pocus in Acute Respiratory Failure: A Narrative Review on Airway and Breathing Assessment

by
Stefano Sartini
1,*,
Lorenzo Ferrari
2,
Ombretta Cutuli
1,
Luca Castellani
1,
Maddalena Bagnasco
1,2,
Luca Moisio Corsello
1,
Cristina Bracco
1,
Maria Luisa Cristina
3,4,*,
Eleonora Arboscello
1 and
Marina Sartini
3,4
1
Emergency Medicine Department, IRCCS Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genoa, Italy
2
Emergency Medicine Post-Graduate School, University of Genoa, Via Balbi 5, 16126 Genoa, Italy
3
Department of Health Sciences, University of Genoa, 16132 Genoa, Italy
4
Hospital Hygiene, E.O. Ospedali Galliera, Via Alessandro Volta 8, 16128 Genoa, Italy
*
Authors to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(3), 750; https://doi.org/10.3390/jcm13030750
Submission received: 13 December 2023 / Revised: 18 January 2024 / Accepted: 23 January 2024 / Published: 28 January 2024
(This article belongs to the Section Pulmonology)

Abstract

:
Acute respiratory failure (ARF) is a challenging condition that clinicians, especially in emergency settings, have to face frequently. Especially in emergency settings, many underlying diseases can lead to ARF and life-threatening conditions have to be promptly assessed and correctly treated to avoid unfavorable outcomes. In recent years, point-of-care ultrasound (POCUS) gained growing consideration due to its bedside utilization, reliability and reproducibility even in emergency settings especially in unstable patients. Research on POCUS application to assess ARF has been largely reported mainly with observational studies showing heterogeneous results from many different applications. This narrative review describes the wide potentiality of POCUS to face airways and breathing life-threatening conditions such as upper airway management, pulmonary and pleural pathologies and diaphragm impairment. We conducted extensive research of the literature to report from major studies to case reports deemed useful in practical clinical utilization of POCUS in ARF. Due to the huge amount of the literature found, we focused on airways and breathing assessment trying to systematize the evidence according to clinical care of ARF in emergency settings. Further studies, possibly trials, should determine how POCUS is crucial in clinical practice in terms of standard of care improvements, patient safety and cost-benefit analysis.

1. Introduction

Acute respiratory failure (ARF) is a life-threatening condition characterized by acute onset of hypoxemia due to many clinical disorders such as pneumonia, congestive heart failure, aspiration and trauma [1,2]. Ventilation/perfusion mismatch and impaired excretion of carbon dioxide are the principal components of respiratory failure leading to systemic hypoxia and tissue damage [3]. It is essential to promptly identify the underlying cause to put in place a tailored treatment to correctly face the pathophysiological mechanism of injury.
Over the last decades, point-of-care ultrasound (POCUS) has gained increasing consideration and widespread utilization among emergency care settings due to its availability at bedside, reliability, reproducibility and overall cost-effectiveness [4]. Furthermore, it is an essential tool to assess acutely ill patients in low-resources fields such as prehospital settings and in those so unstable that radiological images are difficult to obtain [5,6].
The overwhelming application of POCUS in the assessment of ARF has been reported in many clinical scenarios and settings that vary from upper to lower respiratory airways, from cardiovascular to respiratory muscles analysis.
In many studies, POCUS showed a higher diagnostic accuracy compared to standard chest radiography to identify pulmonary edema, pneumothorax, lung effusion and pneumonia. Furthermore, good levels of accuracy are reported when compared to second-level imaging exams such as CT scans. Due to the extensive body of literature and data on this subject, a decision was made to undertake an exhaustive review of contemporary literature, in the form of a narrative review, with the objective of systematically organizing all available published data regarding the evaluation and management of acute respiratory failure using point-of-care ultrasound (POCUS).

2. Materials and Methods

A comprehensive search was conducted across the PubMed/Medline, Scopus, Cochrane and Google Scholar databases. The search incorporated the following search terms, utilizing Medical Subject Headings (MeSH) terms in adherence to the National Center for Biotechnology Information (NCBI) nomenclature and guidelines: “Lung AND ultrasound AND acute respiratory failure OR Pneumonia OR dyspnea OR edema OR heart failure OR Point of Care Ultrasound OR Major trauma”.
Inclusion criteria encompassed prospective and retrospective studies, case reports and case series published in either English or Italian, with no temporal constraints, exclusively focusing on patients in emergency departments (ED) or intensive care units (ICU). Publications concerning patients who had undergone surgery or had been admitted to geriatric wards were systematically excluded. Furthermore, we excluded COVID-19-related publications as they considered a specific topic, which was not the aim of this review.
The selected publications were categorized into five distinct groups:
A.
Papers concerning upper airway or intubation;
B.
Papers addressing respiratory function breathing-related impairment.
Two of the authors independently reviewed the literature. Articles were initially screened based on their titles and abstracts, employing the Rayyan platform for Systematic Review (https://www.rayyan.ai/). Subsequently, the full text of relevant research was acquired and rigorously assessed. Additionally, the references of the selected articles were scrutinized to ensure the comprehensive inclusion of relevant research. Any instances of disagreement were resolved through discussion until a consensus was achieved.
We decided to report the research methodology of this narrative review to clarify the key points used and to explicit the typology of studies cited.

3. Results

A total of 1407 papers were initially selected, of which 1324 were excluded for not meeting the inclusion criteria. Subsequently, a state-of-the-art review was conducted to describe the current matters on the topic; thus, favorable and unfavorable results were included and discussed to obtain an overall view of the evidence reported in the literature.

4. Discussion

4.1. A: US & Airway

We listed the studies reviewed on the use of POCUS to assess and manage upper airways divided into sections: endotracheal tube positioning, upper airway damage identification, difficult airways management and post-trauma injury identification, laringeal edema assessment pre-extubation (Table 1).
Since recent years, ultrasound evaluation of upper and lower airways has been considered to have a marginal role. Over the last decade, the correlation between US airway findings and endoscopic examination (considered the gold standard) has been studied promoting its utilization in the clinical practice [18,19,20].
Even if the upper airway US is affected by some limitations due to the presence of artifacts interfering with ultrasound images and interpretation such as subcutaneous emphysema, posterior laryngeal injury, cartilage calcification and foreign bodies, its utilization has been reported in many clinical scenarios [20] (Figure 1 and Figure 2).

4.1.1. Endotracheal Tube (ETT) Positioning Assessment

The most common utilization of POCUS in upper airway assessment of patients with ARF reported in literature is the correct placement of the ETT in many studies and case reports that document US feasibility and reliability.
The incorrect positioning of the ETT expose critically ill patients at risk to develop severe complications and to secure a definitive airway. In clinical practice lung auscultation, End Tidal CO2 (ETCO2) and chest XR are commonly used to confirm ETT position, however US of airways and lung may also play a role.
US assessment of a correct intubation is based on the identification of the “double trachea sign” by the anterior neck approach. Firstly, this routine check was performed in the operating room, then applied in the emergency department. In this prospective observational study, operators performed bedside US within 3 min after patient arrival in ED or after endotracheal intubation. It was observed that sonographers achieved 100% accuracy with respect to determining the correct ETT position utilizing an anterior neck approach (while the intubators’ accuracy in assessing correct tube location was 97% compared to the clinical outcome). A blinded review of sonography findings confirmed all bedside US anatomical findings. An ultrasound-empty esophagus was 100% specific for endotracheal intubation, and a “double trachea sign” was 100% sensitive and 91% specific for esophageal intubation. The sonographic time to diagnosis was significantly faster than the intubator time to diagnosis (“easy” p < 0.001; n = 47; “moderate” p = 0.001; n = 15; “difficult” p < 0.001; n = 19) [7].
In this randomized controlled study, a group of residents scanned cadavers’ necks to confirm a correct endotracheal intubation or esophageal intubation. They were blinded to endotracheal tube placement and had to scan using either the B-mode method or B-mode plus color-Doppler. Moreover, a limited scanning time was given: 6 s for scanning with B-mode and 8 s for scanning with B-mode plus color-Doppler. There were 91.7% correct identifications made with B-mode and 86.9% with B-mode plus color-Doppler (p-value = 0.007). Finally, a correlation between the year of training and higher accuracy in ultrasound-guided ETT placement identification was observed [9].
In this prospective educational study by Chenkin et al., they tried to define the learning curve of POCUS to confirm ETT placement after a 10 min web-based tutorial and two practical sessions; participants were asked to correctly recognize the ETT position from ultrasound videoclips among a series of 20 endotracheal and 20 esophageal ETT placements. The study reported a sensitivity of 98.3% (95% CI 96.3–99.4%) and a specificity of 100% (95% CI 98.9–100%) for the participant to indicate the correct or incorrect placement [21]. Even if in this cadaveric-based study a superiority of POCUS to ETCO2 for ETT confirmation placement was found, we need to consider that capnography is less reliable mainly during cardiopulmonary resuscitation due to cardiovascular and metabolic impairment affecting CO2 delivery to the lung [8]. Considering that real-life studies are lacking on this matter, the evidence collected suggests that ETCO2 remains the first option, but POCUS may play a predominant role during cardiopulmonary resuscitation and in case of ETCO2 unavailability.
In addition, lung US can assess pleural sliding and thus can confirm lung aeration after intubation. In a monocentric observational study conducted at the Emergency Department of the National Taiwan University Hospital, 115 intubated patients were included. They were evaluated both with US and chest radiography as the gold standard method. The overall accuracy of bilateral sliding assessed by US was 88.7%, the positive predictive value was 94.7% (95% CI: 87.1–97.9%) in the non-cardiac-arrest group and 100% (95% CI: 87.1–100.0%) in the cardiac-arrest group. Furthermore, an advantage in time reduction was observed: the mean execution time of US bilateral sliding assessment was 88 s versus 1349 s of radiography [10].

4.1.2. Upper Airways Damage Identification and Procedures

US visualization of upper airway structures and their abnormalities is a recent role of the POCUS application. Cases of laryngeal ACE-I-induced larynx edema [11] and trauma affecting the larynx have been approached with US to assess the extent of damage [12].
An important finding in upper airways US is cricoid membrane identification. US has been extensively used to guide invasive procedures and its role to support cricothyrotomy has been evaluated. In a prospective observational study emergency physicians applied a technique first learned in a cadaver laboratory and then applied in vivo. US did not affect the time of execution, as the mean time required was 24.32 s. This time was not affected by patient anatomy or body mass index (BMI) [13].
There are some case reports about patients presenting with a critical mass in the larynx. Upper airways US permitted to evaluate their extension and to identify the feasibility of cricothyroidotomy instead of emergency tracheostomy. In one of these cases, US was also applied to visualize the hyoid bone to assess short hyomental distance ratio, high pre-tracheal anterior neck thickness and tongue size to predict endotracheal tube size [14,15].
In emergency situations, POCUS appears crucial when a CT scan is not available or when patients are so unstable that they cannot leave the shock room (Table 2).
Upper airway US assessment is affected by some limitations mainly due to the presence of artifacts that may interfere with ultrasound images and interpretation such as subcutaneous emphysema, posterior laryngeal injury, cartilage calcification and foreign bodies [12].

4.1.3. Laryngeal Edema Assessment Pre-Extubation

The assessment of the larynx is important to predict extubation failure. Usually, this is evaluated by a leak test (difference between expiratory tidal volumes with the cuff inflated and deflated). Two prospective observational studies evaluated the air column width differences (ACWD) (width of air between the vocal cords seen by laryngeal ultrasonography) as a predictive index of extubation failure. In the first study ACWD ≥ 1.6 mm predicted laryngeal edema with 0.706 and 0.702 sensitivity and specificity, respectively; the area under the receiver operating characteristic curve of laryngeal ultrasound was 0.823 (95% confidence interval, 0.698–0.947) and that of cuff leak test was 0.840 [19]. In the other study, both laryngeal US and leak test resulted in having a positive predictive value < 20% cuff leak test (cut-off point: 249 mL) and showed a sensitivity and specificity of 75% and 59%, respectively. In addition, laryngeal ultrasonography (cut-off point for air column width: 10.95 mm) resulted in a sensitivity and specificity of 50% and 54%, respectively [17].
A meta-analysis aimed to assess the diagnostic accuracy of ACWD to predict post-extubation stridor analyzed observational studies finding, for a cut-off value from 0.45 to 1.6 mm, a pooled sensitivity and specificity of 0.8 (95% CI = 0.69–0.88, I2: 37.26%, eight studies) and 0.81 (95% CI = 0.72–0.88, I2: 89.51%, eight studies), respectively, and a pooled AUC of 0.87 (95% CI = 0.84–0.90). However, they concluded that the strength of the evidence was poor [22]. From these non-univocal results highlighted by the variability of the reported cut-off, we may argue that the ACWD is a challenging measurement to obtain influenced by operator experience, method standardization and the confounding presence of many artifacts. Further prospective studies are needed to assess its real potential in clinical practice.
Even if the literature on airway US application is still relatively limited, its utilization in clinical practice, both in pre-hospital and emergency hospital settings, is increasing and US can be considered a useful tool to support physicians in airway management especially when they are difficult (Figure 3).

4.2. B: US and Breathing

We reported the studies reviewed on the use of POCUS to assess and manage breathing impairments. They are mainly observational and sistematic review, only three are randomised controlled trial (Table 3).

4.2.1. Protocols on Lung US

The BLUE protocol (Figure 4) is a flow chart to approach acute respiratory failure and its differential diagnosis by lung US (LUS) in a standardized way proposed by Lichtenstein and updated in 2008 [23].
It is based on the identification and interpretation of easy LUS findings indicating normal lung surface (bat sign, lung sliding, A-lines), pleural effusions (quad and sinusoid sign), lung consolidations (fractal and tissue-like sign), interstitial syndrome (lung rockets or B lines), pneumothorax (stratosphere sign and the lung point) and venous thrombosis (compressive venous ultrasound) [80].
Mastering this basic echographic semiology allows clinicians to seek after the principal differential diagnosis affecting pulmonary parenchyma and pleural space: pneumonia, hemodynamic pulmonary edema, exacerbated chronic obstructive pulmonary disease or asthma, pulmonary embolism or pneumothorax [81].
In a meta-analysis by Asmara et al. in which 4 studies were analyzed for a total of 820 patients, BLUE protocol showed a sensitivity of 84% (76–89%), a specificity of 98% (93–99%), LR+ 42 (12–147), LR− 0.12 (0.07–0.2) and odds ratio 252 (81–788) for pneumonia and sensitivity 89% (95% CI, 81–93%), specificity 94% (89–96%), LR+ 14 (8–25), LR− 0.165 (0.11–0.24), and DOR 116 (42–320) for pulmonary edema [24].
Prospective observational studies have been conducted to verify sensitivity and specificity, comparing diagnoses made by BLUE and final discharge diagnoses. In two articles that evaluated 37 and 50 patients respectively, pneumonia and pulmonary edema were diagnosed with sensitivities of 88–94% and 86–92% and specificities of 90–94% and 87–100%, respectively [25,26]. A similar study enrolled 130 patients to measure BLUE protocol diagnostic accuracy in different diseases, it was as follows: 95.38% for pulmonary edema, 100% for pneumothorax, 93.85% for pneumonia, 96.92% for chronic obstructive pulmonary disease, 99.23% for pulmonary thromboembolism and 95.38% for acute respiratory distress syndrome [27].
However, some evidence suggests that the BLUE protocol did not always reach a correct diagnosis. A case of a pregnant woman affected by the rupture of a pulmonary hydatid cyst and a case of pulmonary hemorrhage not identified by BLUE protocol have been reported [28,29].
Indeed, BLUE is not the only protocol proposed to assess causes of respiratory failure. FALLS is a development of BLUE protocol based on initial basic cardiac sonography assessment, that allows to sequentially rule out obstructive, then cardiogenic, then hypovolemic shock for expediting the diagnosis of distributive (usually septic) shock [82].
Specifically for pneumonia, ultrasonographic findings are subpleural consolidations, positive air bronchogram within an echo-poor area and basal effusion [30,83].
Overall sensitivity and specificity reported by two meta-analyses were 85–94% and 93–96%, positive and negative LRs were 11.05–16.8 and 0.07–0.08 and the area under the ROC was 0.98–0.99 [31,32].
Case reports about pneumonia highlighted how US helps the clinicians to reach the correct diagnosis, also in case of extreme presentation, such as in a case of massive pleural parapneumonic effusion that could not be characterized by chest radiography [33,34].
Pneumothorax ultrasound echographic diagnosis is deeply accepted and supported by evidence. Different findings can identify PNX:
-
Abolition of lung sliding alone, sensitivity 100% specificity 78%;
-
Absent lung sliding plus the A-line sign, sensitivity 95% specificity 94%;
-
Lung point, sensitivity 79% specificity 100% [35].
While LUS demonstrated good reliability in diagnosing PNX and it is easily deployable by emergency physicians in clinical practice [36], clinicians should exercise caution and always correlate clinical presentation to avoid misinterpretation of US findings. Other factors, such as hypercapnia and BMI in patients with COPD and asthma, as well as pneumothorax or pleural talcage, can contribute to the loss of lung sliding [37]. In a case report describing an acute exacerbation of COPD, a patient presented a large bulla that mimicked a lung point to POCUS without an actual PNX [38].

Acute Respiratory Distress Syndrome (ARDS)

A particular mention to ARDS, US has been investigated for diagnostic and monitorization purposes, as it can predict CT findings about lung aeration, monitor lung re-aeration during treatment and identify tidal volume recruitment [84].
Many prospective observational studies evaluated lung ultrasound scores in ARDS. Firstly, the combination of LUS plus pulse oximetry showed a better diagnostic accuracy than chest radiography plus blood gas analysis [39]. Moreover, LUS correlated well with oxygenation (P/F ratio) and seems to have a prognostic value about survival in mechanically ventilated patients and post-extubation distress syndrome [40,41,42,43].
However, in a retrospective observational study comparing chest radiography versus LUS to diagnose ARDS according to Berlin’s definition, even if the latter was more reliable in assessing the severity of the disease, chest radiography showed to be complementary (more than interchangeable) to LUS [44].
LUS application in ARDS assessment has been so extensively studied that a possible correlation with a genetic polymorphism in the plasma platelet-activating factor was published. G994T polymorphism, combined with LUS score, showed a negative correlation with respiratory failure index, the need for ventilation, lactic acid levels, SOFA score, etc. A combination of LUS score and G994T polymorphism may be employed as a potential prognostic marker for ARDS [45] (Figure 5).

4.2.2. Diagnostic Accuracy

Many studies compared the POCUS approach to standard clinical care in emergency settings to analyze possible advantages in terms of diagnostic accuracy, appropriate treatment given and shortening management time.
We found four studies that compared the US approach to standard clinical evaluation (Table 4) [46,47,48,49].
In a prospective controlled blinded study, POCUS application searching for life-threatening conditions in critically ill patients showed a sensitivity of 100%, specificity of 93.3%, positive predictive value of 76.7% and negative predictive value of 100% [49].
In this prospective observational study conducted by Barman et al., POCUS was performed after a first clinical diagnosis was made. Out of 108 enrolled patients, initial clinical diagnosis was appropriate in 67.5% of cases, after POCUS assessment the diagnostic accuracy raised to 88% adding or changing the diagnosis in 37% of cases. Similar improvements were observed in the treatment plan decided before and after POCUS, in 36% of cases treatment decisions were changed. This study highlights how POCUS can improve diagnostic accuracy and lead to different treatment choices in clinical practice [50].
Furthermore, in this interventional study by Sen et al. about the medical emergency team activities, POCUS was proved to be feasible and reliable for in-hospital emergency management [51].
Diagnostic accuracy has also been evaluated for single pathology. The accuracy of LUS in a prospective observational study [52] is reported below:
-
Pneumonia, standard, 0.74, ultrasound, 0.87;
-
Acute hemodynamic pulmonary edema standard, 0.79, ultrasound, 0.93);
-
Decompensated COPD standard, 0.8, ultrasound, 0.92;
-
Pulmonary embolism standard, 0.65, ultrasound, 0.81;
We found two meta-analyses [53,54] that report sensitivity and specificity for the following diagnosis comparing the standard of care to US:
-
Pneumonia/consolidation 89–92% and 94–97%;
-
Heart failure/interstitial syndrome 90–95% and 91–93%;
-
Pleural effusion 95% and 99%;
-
COPD/asthma (A profile) 78% and 94%.
POCUS diagnostic accuracy has also been assessed comparing specifically LUS to CT scan findings in ARF patients. Overall, LUS sensitivity and specificity were 82.7–92.3% and 90.2–98.6% reaching a global agreement with CT scans ranging from 0.640 (0.391–0.889) to 0.934 (0.605–1.000) with an average of 0.775 (0.577–0.973) [53]. In another review, LUS is reported to reach a specificity between 78 and 100%, when compared to CT [56].
In a prospective comparative study for a specific diagnosis, sensitivity and specificity between LUS and CT lung scan were evaluated: consolidations 76–83% versus 92–95.5%, interstitial syndrome 60% versus 69%, PNX 59% versus 97%, pleural effusion 85% versus 77%, respectively [51]. Moreover, in this prospective cohort study made by Tierney et al. [57], the agreement for localization of pathology was assessed. It showed that LUS correctly localized pathology with an 83.6–96% agreement with chest CT scans.
Moreover, many studies showed a significant superiority of LUS with respect to chest plain XR accuracy to identify lung consolidation (sensitivity 81.4% vs. 64.3%) [58].

4.2.3. Time-to-Diagnosis Improvement

POCUS turned out to be useful also in shortening the time to reach a diagnosis and reducing patient overall management. One of Lichtenstein’s works on US is reported to save up to two hours for diagnosis and management [23].
The mean time for diagnosis was shorter in POCUS application versus standard care. In these two prospective observational studies and a prospective randomized study, the time needed for a diagnosis was 12–42 min with POCUS, against 79–270 min with usual clinical care [59,60,61].
Similarly, in a prospective multicenter superiority trial made in Danish Emergency Departments by Riishede et al. [46], a reduction in overall hospital staying was found in the POCUS group versus usual clinical care.

4.2.4. Diaphragm Ultra-Sound (DUS)

Other than lung ultrasound, the evaluation of the diaphragm in ARF has been studied to assess the entity of respiratory distress. Even if DUS is not precisely standardized yet [85], with US is possible to obtain information about diaphragm movement.
As the diaphragm is the most important inspiratory muscle, its dysfunction has a great impact on the deterioration of respiratory function. Indeed, literature about DUS has been focused on its predictive value: prediction of respiratory failure, NIV failure and weaning/extubation failure [62]. Furthermore, DUS application was reported to document diaphragmatic dysfunction in a case of dermatomyositis [63].
To quantify diaphragm movement by DUS clinicians can measure (see Figure 6):
  • Diaphragm thickening fraction (DTF), measurement of the difference in end-inspiratory and end-expiratory diaphragmatic thickness, expressed as a fraction;
  • Diaphragm excursion (DE), the diaphragmatic altitude difference between expiration and inspiration [86] (Figure 6).
No significant differences in measurement made by M or B mode were found [64].
The main limitations of the technique are as follows: diaphragm excursion varies with BMI, movements of the organs continuous to the diaphragm are not reliable to estimate diaphragm movements, in intercostal insonation lung may obstacles tidal evaluation of the diaphragm and in subcostal positioning of the probe may diminish lung interposition but US incidence angle may affect measuring precision [86].
DTF reduction proved to be a reliable tool to assess the risk of respiratory failure in patients affected by pneumonia. (The optimal DTF cut-off was 23.95%, with an OR: 0.939, p = 0.0416, 69.23% of sensitivity, 83.78% of specificity, 88.57% of negative predictive value and 80% of accuracy) [65].
Studies about COPD focus on the prediction of NIV failure. They found that diaphragm ultrasound showed great potential to evaluate diaphragm function, especially to assess changes in diaphragmatic function in patients with stable COPD and to predict the success rate of NIV and MV weaning in patients with acute exacerbation [87]. Many studies found that diaphragm dysfunction correlates to NIV failure (and with corticosteroid therapy, prolonged MV and tracheostomy) [66]. DTF with a cut-off value of <26–29% on both hemidiaphragm was able to predict NIV failure in acute exacerbation of COPD, with 96.67% sensitivity and 80–82.22% specificity [67]. In another similar study, DTF < 20% was the cut-off to identify diaphragm dysfunction with an AUC of 0.84. And it showed to be a better predictor than blood starting pH and pCO2 values [68].
Furthermore, even DE correlated to NIV success or failure. In a prospective observational study, DE values were significantly higher in NIV successes group than that in NIV failure group (T0 (1.92 [1.22–2.54] cm versus 1.00 [0.60–1.41] cm, p = 0.02), at T1 (2.14 [1.76–2.77] cm versus 0.93 [0.82–1.27] cm, p = 0.007), and at T2 (1.99 [1.63–2.54] cm versus 1.20 [0.79–1.41] cm, p = 0.008), respectively) [69].
However, another prospective observational study did not document a significant correlation between DUS and diaphragm dysfunction. Sensitivity and specificity of the DE for NIV failure were 58.1% and 62.5%, respectively [70].
DUS was employed also in a comparative study to assess diaphragm work during different techniques of respiratory support therapies [71].
Spontaneous breathing trials are commonly performed before extubation to predict post-extubation NIV or risk of reintubation. DUS may contribute to assessing this prediction [72].
In a cross-sectional comparative study, a DE cut-off of 1.2 cm showed a sensitivity and specificity for successful weaning of 78.95% and 70.83%, respectively [73]. In other prospective studies, DTF sensitivity and specificity for successful weaning were 93–96% and 58–68%, while (in one of these two studies) LUS showed to be less sensitive but more specific (76% and 73%) [74,75].
One case report talks about a typical extubation failure assessed with DUS probably due to diaphragm dysfunction in a case of septic shock due to pneumonia [62].
A prospective observational study found a sensitivity and specificity of a holistic approach to predict extubation failure in mechanically ventilated patients for 72 h or more, of 100% (78.2–100%) and 7.7% (2.5–17.1%), respectively, with an AUC of 0.54. The sensitivity and specificity of diaphragm thickening fraction, using a cut-off value of <30% for extubation failure were 86.7% (59.5–98.3%) and 25.4% (15.5–37.5%), respectively, with an AUC of 0.61 [76].
As mentioned before, DUS may also assume a diagnostic role in evaluating respiratory failure due to neuro-muscular conditions. We found four case reports describing the identification of hemidiaphragmatic dysfunction with DUS. The underlying causes were phrenic nerve paralysis, dermatomyositis exacerbation, brachial plexus damage and amyotrophic lateral sclerosis, but diaphragm dysfunction assessment was the main finding that led to the correct diagnosis [63,77,78,79].

5. Limitations

POCUS application in clinical practice and its effectiveness in reducing unfavorable outcomes are affected by some limitations from many different points of view:
  • Availability and settings: the lack of ultrasound machines in specific settings like pre-hospital or in limited-resource countries; furthermore, updated software and probes are needed to obtain more reliable images. Moreover, in case of intensive use from patient to patient and the lack of disinfection and cleanliness, the probes could be a vector of infection [88].
  • Technical impairment: “air” in itself is a limitation to ultrasonic wave propagation and their interaction with body tissue and fluids generates artifacts that have to be recognized and correctly interpreted. Furthermore, the correct use of the different probes and the many settings allowed by the new ultrasound machine is mandatory to properly set up adequate images. Finally, the lack of standardization with specific protocols for upper and lower airway POCUS execution may limit replication and increase interobserver variability [89].
  • Competences: education in the POCUS technique and an adequate level of experience are cardinal points to obtain a reliable POCUS assessment. Continuing US utilization in daily clinical practice, comparison with other gold standard imaging exams and support of senior team members are needed to avoid clinical errors and to improve personal skills. Specific ultrasound training programs should be implemented in the trainee core curriculum [90].
  • Scientific level evidence: most of the published data about POCUS clinical utilization and effectiveness are based on observational studies. However, it is difficult to plan studies with strong levels of evidence such as TRIAL or prospective multicentric and interventional studies due to organizational and methodological impairments such as different ultrasound machines in different settings, interobserver variability, availability of ultrasonologists with the same level of competencies, contradictory outcomes identification and measurements.
Even in light of such considerations, POCUS is undoubtedly a useful clinical tool, and further and stronger evidence is needed to fully support its utilization.

6. Conclusions

POCUS application to assess ARF is becoming a useful and reliable tool, especially in emergency settings supported by growing scientific evidence. The availability of an ultrasound machine in increasing settings allows its application in many different clinical conditions, thus its utilization should be implemented and reported to increase literature evidence on its potentiality.
Emergency medicine is one of the main disciplines where POCUS may make the difference between life and death being useful also in procedural intervention guidance if needed. Individual competence, poor resources and adverse environmental conditions may limit its application; however, updated and new ultrasound technology may help clinicians to fill these gaps. Unfortunately, the grade of scientific evidence on POCUS such as clinical trials is poor, and its increasing utilization should lead to conducting studies with a stronger level of evidence such as clinical trials.

Author Contributions

Conceptualization, S.S. and L.F.; Investigation, S.S., L.F. and M.S.; Methodology, M.S., M.L.C. and S.S.; Formal analysis, M.S. and M.L.C.; Data curation, O.C., L.C., M.B., L.M.C., C.B. and E.A.; Writing—original draft preparation S.S., L.F. and M.S; Writing—review and editing, S.S., L.C., O.C., L.C., M.B., L.M.C., C.B., M.L.C., E.A. and M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Rubenfeld, G.D.; Caldwell, E.; Peabody, E.; Weaver, J.; Martin, D.P.; Neff, M.; Stern, E.J.; Hudson, L.D. Incidence and outcomes of acute lung injury. N. Engl. J. Med. 2005, 353, 1685–1693. [Google Scholar] [CrossRef]
  2. 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. LUNG SAFE Investigators, & ESICM Trials Group 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]
  3. Matthay, M.A.; Ware, L.B.; Zimmerman, G.A. The acute respiratory distress syndrome. J. Clin. Investig. 2012, 122, 2731–2740. [Google Scholar] [CrossRef] [PubMed]
  4. Williams, J.P.; Nathanson, R.; LoPresti, C.M.; Mader, M.J.; Haro, E.K.; Drum, B.; O’Brien, E.; Khosla, R.; Boyd, J.S.; Bales, B.; et al. Current use, training, and barriers in point-of-care ultrasound in hospital medicine: A national survey of VA hospitals. J. Hosp. Med. 2022, 17, 601–608. [Google Scholar] [CrossRef]
  5. Abrokwa, S.K.; Ruby, L.C.; Heuvelings, C.C.; Bélard, S. Task shifting for point of care ultrasound in primary healthcare in low- and middle-income countries—A systematic review. EClinicalMedicine 2022, 45, 101333. [Google Scholar] [CrossRef]
  6. Kreiser, M.A.; Hill, B.; Karki, D.; Wood, E.; Shelton, R.; Peterson, J.; Riccio, J.; Zapata, I.; Khalil, P.A.; Gubler, D.; et al. Point-of-Care Ultrasound Use by EMS Providers in Out-of-Hospital Cardiac Arrest. Prehosp. Disaster Med. 2022, 37, 39–44. [Google Scholar] [CrossRef] [PubMed]
  7. Hoffmann, B.; Gullett, J.P.; Hill, H.F.; Fuller, D.; Westergaard, M.C.; Hosek, W.T.; Smith, J.A. Bedside ultrasound of the neck confirms endotracheal tube position in emergency intubations. Ultraschall Med. 2014, 35, 451–458. [Google Scholar] [CrossRef]
  8. Wojtczak, J.A.; Cattano, D. Laryngo-tracheal ultrasonography to confirm correct endotracheal tube and laryngeal mask airway placement. J. Ultrason. 2014, 14, 362–366. [Google Scholar] [CrossRef]
  9. Hossein-Nejad, H.; Mehrjerdi, M.S.; Abdollahi, A.; Loesche, M.A.; Schulwolf, S.; Ghadipasha, M.; Mohammadinejad, P.; Ataeinia, B.; Shokoohi, H. Ultrasound for Intubation Confirmation: A Randomized Controlled Study among Emergency Medicine Residents. Ultrasound Med. Biol. 2021, 47, 230–235. [Google Scholar] [CrossRef] [PubMed]
  10. Sim, S.S.; Lien, W.C.; Chou, H.C.; Chong, K.M.; Liu, S.H.; Wang, C.H.; Chen, S.Y.; Hsu, C.Y.; Yen, Z.S.; Chang, W.T.; et al. Ultrasonographic lung sliding sign in confirming proper endotracheal intubation during emergency intubation. Resuscitation 2012, 83, 307–312. [Google Scholar] [CrossRef]
  11. Schick, M.; Grether-Jones, K. Point-of-Care Sonographic Findings in Acute Upper Airway Edema. West. J. Emerg. Med. 2016, 17, 822–826. [Google Scholar] [CrossRef] [PubMed]
  12. Adi, O.; Sum, K.M.; Ahmad, A.H.; Wahab, M.A.; Neri, L.; Panebianco, N. Novel role of focused airway ultrasound in early airway assessment of suspected laryngeal trauma. Ultrasound J. 2020, 12, 37. [Google Scholar] [CrossRef] [PubMed]
  13. Nicholls, S.E.; Sweeney, T.W.; Ferre, R.M.; Strout, T.D. Bedside sonography by emergency physicians for the rapid identification of landmarks relevant to cricothyrotomy. Am. J. Emerg. Med. 2008, 26, 852–856. [Google Scholar] [CrossRef] [PubMed]
  14. Adi, O.; Fong, C.P.; Sum, K.M.; Ahmad, A.H. Usage of airway ultrasound as an assessment and prediction tool of a difficult airway management. Am. J. Emerg. Med. 2021, 42, 263.e1–263.e4. [Google Scholar] [CrossRef] [PubMed]
  15. Iqhbal, M.; Noor, J.M.; Karim, N.A.; Ismail, I.; Sanib, H.; Mokhtar, M.A.; Salim, S.S.F. Point-of-Care Airway Ultrasonography Prior to an Emergency Cricothyroidotomy: Case Report. Sultan Qaboos Univ. Med. J. 2018, 18, e219–e222. [Google Scholar] [CrossRef] [PubMed]
  16. Sutherasan, Y.; Theerawit, P.; Hongphanut, T.; Kiatboonsri, C.; Kiatboonsri, S. Predicting laryngeal edema in intubated patients by portable intensive care unit ultrasound. J. Crit. Care 2013, 28, 675–680. [Google Scholar] [CrossRef] [PubMed]
  17. Mikaeili, H.; Yazdchi, M.; Tarzamni, M.K.; Ansarin, K.; Ghasemzadeh, M. Laryngeal ultrasonography versus cuff leak test in predicting postextubation stridor. J. Cardiovasc. Thorac. Res. 2014, 6, 25–28. [Google Scholar] [CrossRef] [PubMed]
  18. Kandil, E.; Deniwar, A.; Noureldine, S.I.; Hammad, A.Y.; Mohamed, H.; Al-Qurayshi, Z.; Tufano, R.P. Assessment of Vocal Fold Function Using Transcutaneous Laryngeal Ultrasonography and Flexible Laryngoscopy. JAMA Otolaryngol. Head Neck Surg. 2016, 142, 74–78. [Google Scholar] [CrossRef]
  19. Wong, K.P.; Au, K.P.; Lam, S.; Lang, B.H. Lessons Learned After 1000 Cases of Transcutaneous Laryngeal Ultrasound (TLUSG) with Laryngoscopic Validation: Is There a Role of TLUSG in Patients Indicated for Laryngoscopic Examination Before Thyroidectomy? Thyroid Off. J. Am. Thyroid Assoc. 2017, 27, 88–94. [Google Scholar] [CrossRef]
  20. Noel, J.E.; Orloff, L.A.; Sung, K. Laryngeal Evaluation during the COVID-19 Pandemic: Transcervical Laryngeal Ultrasonography. Otolaryngol. Head Neck Surg. 2020, 163, 51–53. [Google Scholar] [CrossRef]
  21. Chenkin, J.; McCartney, C.J.; Jelic, T.; Romano, M.; Heslop, C.; Bandiera, G. Defining the learning curve of point-of-care ultrasound for confirming endotracheal tube placement by emergency physicians. Crit. Ultrasound J. 2015, 7, 14. [Google Scholar] [CrossRef]
  22. Tsai, W.W.; Hung, K.C.; Huang, Y.T.; Yu, C.H.; Lin, C.H.; Chen, I.W.; Sun, C.K. Diagnostic efficacy of sonographic measurement of laryngeal air column width difference for predicting the risk of post-extubation stridor: A meta-analysis of observational studies. Front. Med. 2023, 10, 1109681. [Google Scholar] [CrossRef]
  23. Lichtenstein, D.A.; Mezière, G.A. Relevance of lung ultrasound in the diagnosis of acute respiratory failure: The BLUE protocol. Chest 2008, 134, 117–125. [Google Scholar] [CrossRef]
  24. Asmara, O.D.; Pitoyo, C.W.; Wulani, V.; Harimurti, K.; Araminta, A.P. Accuracy of Bedside Lung Ultrasound in Emergency (BLUE) Protocol to Diagnose the Cause of Acute Respiratory Distress Syndrome (ARDS): A Meta-Analysis. Acta Med. Indones. 2022, 54, 266–282. [Google Scholar]
  25. Neto, F.L.D.; De Andrade, J.M.S.; Raupp, A.C.T.; Townsend, R.D.S.; Beltrami, F.G.; Brisson, H.; Lu, Q.; Dalcin, P.D.T.R. Diagnostic accuracy of the Bedside Lung Ultrasound in Emergency protocol for the diagnosis of acute respiratory failure in spontaneously breathing patients. J. Bras. Pneumol. 2015, 41, 58–64. [Google Scholar] [CrossRef]
  26. Patel, C.J.; Bhatt, H.B.; Parikh, S.N.; Jhaveri, B.N.; Puranik, J.H. Bedside Lung Ultrasound in Emergency Protocol as a Diagnostic Tool in Patients of Acute Respiratory Distress Presenting to Emergency Department. J. Emerg. Trauma Shock 2018, 11, 125–129. [Google Scholar] [CrossRef]
  27. Chaitra, S.; Hattiholi, V.V. Diagnostic Accuracy of Bedside Lung Ultrasound in Emergency Protocol for the Diagnosis of Acute Respiratory Failure. J. Med. Ultrasound 2021, 30, 94–100. [Google Scholar] [CrossRef] [PubMed]
  28. Arslan, B.; Sonmez, O. Diagnosis of a Ruptured Pulmonary Hydatid Cyst in a 26-Week Pregnant Female with Bedside Lung Ultrasound in Emergency (BLUE) Protocol: A Case Report. Cureus 2022, 14, e25431. [Google Scholar] [CrossRef] [PubMed]
  29. Haaksma, M.E.; Nossent, E.J.; Elbers, P.; Tuinman, P.R. Case Report: Pulmonary hemorrhage as a rare cause of lung ultrasound A/B-profile. F1000Research 2019, 8, 788. [Google Scholar] [CrossRef]
  30. Staub, L.J.; Mazzali Biscaro, R.R.; Kaszubowski, E.; Maurici, R. Lung Ultrasound for the Emergency Diagnosis of Pneumonia, Acute Heart Failure, and Exacerbations of Chronic Obstructive Pulmonary Disease/Asthma in Adults: A Systematic Review and Meta-analysis. J. Emerg. Med. 2019, 56, 53–69. [Google Scholar] [CrossRef] [PubMed]
  31. Chavez, M.A.; Shams, N.; Ellington, L.E.; Naithani, N.; Gilman, R.H.; Steinhoff, M.C.; Santosham, M.; Black, R.E.; Price, C.; Gross, M.; et al. Lung ultrasound for the diagnosis of pneumonia in adults: A systematic review and meta-analysis. Respir. Res. 2014, 15, 50. [Google Scholar] [CrossRef] [PubMed]
  32. Alzahrani, S.A.; Al-Salamah, M.A.; Al-Madani, W.H.; Elbarbary, M.A. Systematic review and meta-analysis for the use of ultrasound versus radiology in diagnosing of pneumonia. Crit. Ultrasound J. 2017, 9, 6. [Google Scholar] [CrossRef] [PubMed]
  33. Grabala, J.; Grabala, M.; Onichimowski, D.; Grabala, P. Assessment of the applicability of transthoracic lung ultrasound for diagnosing purulent Lobar Pneumonia: A case study. Pol. Ann. Med. 2020, 27, 174–177. [Google Scholar] [CrossRef]
  34. Gardecki, J.; Patel, K.; Rowshan, O. Scan the lung: Point-of-care ultrasound of a pulmonary consolidation with loculated pleural effusion. Am. J. Emerg. Med. 2019, 37, 377.e1–377.e3. [Google Scholar] [CrossRef] [PubMed]
  35. Lichtenstein, D.A.; Mezière, G.; Lascols, N.; Biderman, P.; Courret, J.P.; Gepner, A.; Goldstein, I.; Tenoudji-Cohen, M. Ultrasound diagnosis of occult pneumothorax. Crit. Care Med. 2005, 33, 1231–1238. [Google Scholar] [CrossRef] [PubMed]
  36. Zhang, G.; Huang, X.Y.; Zhang, L. Ultrasound guiding the rapid diagnosis and treatment of perioperative pneumothorax: A case report. World J. Clin. Cases 2021, 9, 11043–11049. [Google Scholar] [CrossRef] [PubMed]
  37. Mallow, C.; Isakow, W. Risk Factors for Loss of Lung Sliding in a Medical Intensive Care Population with Acute Respiratory Failure. J. Bronchol. Interv. Pulmonol. 2019, 26, 102–107. [Google Scholar] [CrossRef]
  38. Aziz, S.G.; Patel, B.B.; Ie, S.R.; Rubio, E.R. The Lung Point Sign, not Pathognomonic of a Pneumothorax. Ultrasound Q. 2016, 32, 277–279. [Google Scholar] [CrossRef]
  39. Bass, C.M.; Sajed, D.R.; Adedipe, A.A.; West, T.E. Pulmonary ultrasound and pulse oximetry versus chest radiography and arterial blood gas analysis for the diagnosis of acute respiratory distress syndrome: A pilot study. Crit. Care 2015, 19, 282. [Google Scholar] [CrossRef]
  40. Todur, P.; Souvik Chaudhuri FNB Critical Care; Vedaghosh Amara FNB Critical Care; Srikant, N.; Prakash, P. Correlation of Oxygenation and Radiographic Assessment of Lung Edema (RALE) Score to Lung Ultrasound Score (LUS) in Acute Respiratory Distress Syndrome (ARDS) Patients in the Intensive Care Unit. Can. J. Respir. Ther. 2021, 57, 53–59. [Google Scholar] [CrossRef] [PubMed]
  41. Zhao, Z.; Jiang, L.; Xi, X.; Jiang, Q.; Zhu, B.; Wang, M.; Xing, J.; Zhang, D. Prognostic value of extravascular lung water assessed with lung ultrasound score by chest sonography in patients with acute respiratory distress syndrome. BMC Pulm. Med. 2015, 15, 98. [Google Scholar] [CrossRef]
  42. Xie, Y.; Liu, S.; Mou, Z.; Wang, Y.; Li, X. Correlation Analysis between Mechanical Power and Lung Ultrasound Score and Their Evaluation of Severity and Prognosis in ARDS Patients. BioMed Res. Int. 2021, 2021, 4156162. [Google Scholar] [CrossRef] [PubMed]
  43. Wang, R.; Qi, B.; Zhang, X.; Meng, L.; Wu, X. Prophetic values of lung ultrasound score on post-extubation distress in patients with acute respiratory distress syndrome. Eur. J. Med. Res. 2022, 27, 27. [Google Scholar] [CrossRef] [PubMed]
  44. See, K.C.; Ong, V.; Tan, Y.L.; Sahagun, J.; Taculod, J. Chest radiography versus lung ultrasound for identification of acute respiratory distress syndrome: A retrospective observational study. Crit. Care 2018, 22, 203. [Google Scholar] [CrossRef]
  45. Lv, W.; Wang, S.; Wang, L.; Wu, Z.; Jiang, Y.; Chen, X.; Gao, R. G994T polymorphism in exon 9 of plasma platelet-activating factor acetylhydrolase gene and lung ultrasound score as prognostic markers in evaluating the outcome of acute respiratory distress syndrome. Exp. Ther. Med. 2019, 17, 3174–3180. [Google Scholar] [CrossRef] [PubMed]
  46. Riishede, M.; Lassen, A.T.; Baatrup, G.; Pietersen, P.I.; Jacobsen, N.; Jeschke, K.N.; Laursen, C.B. Point-of-care ultrasound of the heart and lungs in patients with respiratory failure: A pragmatic randomized controlled multicenter trial. Scand. J. Trauma Resusc. Emerg. Med. 2021, 29, 60. [Google Scholar] [CrossRef] [PubMed]
  47. Mantuani, D.; Frazee, B.W.; Fahimi, J.; Nagdev, A. Point-of-Care Multi-Organ Ultrasound Improves Diagnostic Accuracy in Adults Presenting to the Emergency Department with Acute Dyspnea. West. J. Emerg. Med. 2016, 17, 46–53. [Google Scholar] [CrossRef] [PubMed]
  48. Laursen, C.B.; Sloth, E.; Lambrechtsen, J.; Lassen, A.T.; Madsen, P.H.; Henriksen, D.P.; Davidsen, J.R.; Rasmussen, F. Focused sonography of the heart, lungs, and deep veins identifies missed life-threatening conditions in admitted patients with acute respiratory symptoms. Chest 2013, 144, 1868–1875. [Google Scholar] [CrossRef] [PubMed]
  49. Zieleskiewicz, L.; Lagier, D.; Contargyris, C.; Bourgoin, A.; Gavage, L.; Martin, C.; Leone, M. Lung ultrasound-guided management of acute breathlessness during pregnancy. Anaesthesia 2013, 68, 97–101. [Google Scholar] [CrossRef]
  50. Barman, B.; Parihar, A.; Kohli, N.; Agarwal, A.; Dwivedi, D.K.; Kumari, G. Impact of Bedside Combined Cardiopulmonary Ultrasound on Etiological Diagnosis and Treatment of Acute Respiratory Failure in Critically Ill Patients. Indian J. Crit. Care Med. 2020, 24, 1062–1070. [Google Scholar] [CrossRef]
  51. Sen, S.; Acash, G.; Sarwar, A.; Lei, Y.; Dargin, J.M. Utility and diagnostic accuracy of bedside lung ultrasonography during medical emergency team (MET) activations for respiratory deterioration. J. Crit. Care 2017, 40, 58–62. [Google Scholar] [CrossRef]
  52. Silva, S.; Biendel, C.; Ruiz, J.; Olivier, M.; Bataille, B.; Geeraerts, T.; Mari, A.; Riu, B.; Fourcade, O.; Genestal, M. Usefulness of cardiothoracic chest ultrasound in the management of acute respiratory failure in critical care practice. Chest 2013, 144, 859–865. [Google Scholar] [CrossRef]
  53. Yuan, X.; Liu, L.; Chang, W.; Wu, Z.; Huang, L.; Chao, Y.; Lu, X.; Xie, J.; Yang, Y.; Qiu, H. Diagnosis Accuracy of Lung Ultrasound for ARF in Critically Ill Patients: A Systematic Review and Meta-Analysis. Front. Med. 2021, 8, 705960. [Google Scholar] [CrossRef] [PubMed]
  54. Smit, J.M.; Haaksma, M.E.; Winkler, M.H.; Heldeweg, M.L.A.; Arts, L.; Lust, E.J.; Elbers, P.W.G.; Meijboom, L.J.; Girbes, A.R.J.; Heunks, L.M.A.; et al. Lung ultrasound in a tertiary intensive care unit population: A diagnostic accuracy study. Crit. Care 2021, 25, 339. [Google Scholar] [CrossRef]
  55. Chiumello, D.; Umbrello, M.; Sferrazza Papa, G.F.; Angileri, A.; Gurgitano, M.; Formenti, P.; Coppola, S.; Froio, S.; Cammaroto, A.; Carrafiello, G. Global and Regional Diagnostic Accuracy of Lung Ultrasound Compared to CT in Patients with Acute Respiratory Distress Syndrome. Crit. Care Med. 2019, 47, 1599–1606. [Google Scholar] [CrossRef] [PubMed]
  56. Hew, M.; Corcoran, J.P.; Harriss, E.K.; Rahman, N.M.; Mallett, S. The diagnostic accuracy of chest ultrasound for CT-detected radiographic consolidation in hospitalised adults with acute respiratory failure: A systematic review. BMJ Open 2015, 5, e007838. [Google Scholar] [CrossRef] [PubMed]
  57. Tierney, D.M.; Huelster, J.S.; Overgaard, J.D.; Plunkett, M.B.; Boland, L.L.; St Hill, C.A.; Agboto, V.K.; Smith, C.S.; Mikel, B.F.; Weise, B.E.; et al. Comparative Performance of Pulmonary Ultrasound, Chest Radiograph, and CT Among Patients with Acute Respiratory Failure. Crit. Care Med. 2020, 48, 151–157. [Google Scholar] [CrossRef] [PubMed]
  58. Nazerian, P.; Volpicelli, G.; Vanni, S.; Gigli, C.; Betti, L.; Bartolucci, M.; Zanobetti, M.; Ermini, F.R.; Iannello, C.; Grifoni, S. Accuracy of lung ultrasound for the diagnosis of consolidations when compared to chest computed tomography. Am. J. Emerg. Med. 2015, 33, 620–625. [Google Scholar] [CrossRef] [PubMed]
  59. Gaber, H.R.; Mahmoud, M.I.; Carnell, J.; Rohra, A.; Wuhantu, J.; Williams, S.; Rafique, Z.; Peacock, W.F. Diagnostic accuracy and temporal impact of ultrasound in patients with dyspnea admitted to the emergency department. Clin. Exp. Emerg. Med. 2019, 6, 226–234. [Google Scholar] [CrossRef] [PubMed]
  60. Zare, M.A.; Bahmani, A.; Fathi, M.; Arefi, M.; Hossein Sarbazi, A.; Teimoori, M. Role of point-of-care ultrasound study in early disposition of patients with undifferentiated acute dyspnea in emergency department: A multi-center prospective study. J. Ultrasound 2022, 25, 443–449. [Google Scholar] [CrossRef]
  61. Baid, H.; Vempalli, N.; Kumar, S.; Arora, P.; Walia, R.; Chauhan, U.; Shukla, K.; Verma, A.; Chawang, H.; Agarwal, D. Point of care ultrasound as initial diagnostic tool in acute dyspnea patients in the emergency department of a tertiary care center: Diagnostic accuracy study. Int. J. Emerg. Med. 2022, 15, 27. [Google Scholar] [CrossRef] [PubMed]
  62. Kilaru, D.; Panebianco, N.; Baston, C. Diaphragm Ultrasound in Weaning from Mechanical Ventilation. Chest 2021, 159, 1166–1172. [Google Scholar] [CrossRef] [PubMed]
  63. Chong, W.H.; Saha, B.; Jones, D.M.; Beegle, S. Respiratory Failure Secondary to Diaphragmatic Paralysis from Acute Exacerbation of Dermatomyositis. Am. J. Med. Sci. 2021, 361, 659–665. [Google Scholar] [CrossRef] [PubMed]
  64. Kalın, B.S.; Gürsel, G. Does it make difference to measure diaphragm function with M mode (MM) or B mode (BM)? J. Clin. Monit. Comput. 2020, 34, 1247–1257. [Google Scholar] [CrossRef]
  65. Chu, S.E.; Lu, J.X.; Chang, S.C.; Hsu, K.H.; Goh, Z.N.L.; Seak, C.K.; Seak, J.C.; Ng, C.J.; Seak, C.J. Point-of-care application of diaphragmatic ultrasonography in the emergency department for the prediction of development of respiratory failure in community-acquired pneumonia: A pilot study. Front. Med. 2022, 9, 960847. [Google Scholar] [CrossRef] [PubMed]
  66. Antenora, F.; Fantini, R.; Iattoni, A.; Castaniere, I.; Sdanganelli, A.; Livrieri, F.; Tonelli, R.; Zona, S.; Monelli, M.; Clini, E.M.; et al. Prevalence and outcomes of diaphragmatic dysfunction assessed by ultrasound technology during acute exacerbation of COPD: A pilot study. Respirology 2017, 22, 338–344. [Google Scholar] [CrossRef]
  67. Elsayed, A.A.; Neanaa, E.H.M.; Beshey, B.N. Diaphragmatic impairment as a predictor of invasive ventilation in acute exacerbation of chronic obstructive pulmonary disease patients. Egypt. J. Anaesth. 2022, 38, 334–341. [Google Scholar] [CrossRef]
  68. Marchioni, A.; Castaniere, I.; Tonelli, R.; Fantini, R.; Fontana, M.; Tabbì, L.; Viani, A.; Giaroni, F.; Ruggieri, V.; Cerri, S.; et al. Ultrasound-assessed diaphragmatic impairment is a predictor of outcomes in patients with acute exacerbation of chronic obstructive pulmonary disease undergoing noninvasive ventilation. Crit. Care 2018, 22, 109. [Google Scholar] [CrossRef]
  69. Cammarota, G.; Sguazzotti, I.; Zanoni, M.; Messina, A.; Colombo, D.; Vignazia, G.L.; Vetrugno, L.; Garofalo, E.; Bruni, A.; Navalesi, P.; et al. Diaphragmatic Ultrasound Assessment in Subjects with Acute Hypercapnic Respiratory Failure Admitted to the Emergency Department. Respir. Care 2019, 64, 1469–1477. [Google Scholar] [CrossRef]
  70. Barbariol, F.; Deana, C.; Guadagnin, G.M.; Cammarota, G.; Vetrugno, L.; Bassi, F. Ultrasound diaphragmatic excursion during non-invasive ventilation in ICU: A prospective observational study. Acta Bio-Med. Atenei Parm. 2021, 92, e2021269. [Google Scholar] [CrossRef]
  71. Laverdure, F.; Genty, T.; Rezaiguia-Delclaux, S.; Herve, P.; Stephan, F. Ultrasound Assessment of Respiratory Workload with High-Flow Nasal Oxygen Versus Other Noninvasive Methods After Chest Surgery. J. Cardiothorac. Vasc. Anesth. 2019, 33, 3042–3047. [Google Scholar] [CrossRef] [PubMed]
  72. Shrestha, G.S. Point-of-care ultrasonography and liberation from mechanical ventilation. Crit. Care 2017, 21, 54. [Google Scholar] [CrossRef] [PubMed]
  73. Hayat, A.; Khan, A.; Khalil, A.; Asghar, A. Diaphragmatic Excursion: Does it Predict Successful Weaning from Mechanical Ventilation? J. Coll. Physicians Surg. 2017, 27, 743–746. [Google Scholar]
  74. Pirompanich, P.; Romsaiyut, S. Use of diaphragm thickening fraction combined with rapid shallow breathing index for predicting success of weaning from mechanical ventilator in medical patients. J. Intensive Care 2018, 6, 6. [Google Scholar] [CrossRef]
  75. Tenza-Lozano, E.; Llamas-Alvarez, A.; Jaimez-Navarro, E.; Fernández-Sánchez, J. Lung and diaphragm ultrasound as predictors of success in weaning from mechanical ventilation. Crit. Ultrasound J. 2018, 10, 12. [Google Scholar] [CrossRef] [PubMed]
  76. Haaksma, M.E.; Smit, J.M.; Heldeweg, M.; Nooitgedacht, J.S.; Atmowihardjo, L.N.; Jonkman, A.H.; de Vries, H.J.; Lim, E.H.; Steenvoorden, T.; Lust, E.; et al. Holistic Ultrasound to Predict Extubation Failure in Clinical Practice. Respir. Care 2021, 66, 994–1003. [Google Scholar] [CrossRef] [PubMed]
  77. Doyle, M.P.; McCarty, J.P.; Lazzara, A.A. Case Study of Phrenic Nerve Paralysis: “I Can’t Breathe!”. J. Emerg. Med. 2020, 58, e237–e241. [Google Scholar] [CrossRef]
  78. Yajima, W.; Yoshida, T.; Kondo, T.; Uzura, M. Respiratory failure due to diaphragm paralysis after brachial plexus injury diagnosed by point-of-care ultrasound. BMJ Case Rep. 2022, 15, e246923. [Google Scholar] [CrossRef]
  79. Shrestha, G.S. Bedside sonographic evaluation of the diaphragm in ventilator dependent patients with amyotrophic lateral sclerosis. A report of two cases. Nepal Med. Coll. J. 2014, 16, 95–98. [Google Scholar]
  80. Lichtenstein, D. Lung ultrasound in the critically ill. Curr. Opin. Crit. Care 2014, 20, 315–322. [Google Scholar] [CrossRef]
  81. Lichtenstein, D. Novel approaches to ultrasonography of the lung and pleural space: Where are we now? Breathe 2017, 13, 100–111. [Google Scholar] [CrossRef] [PubMed]
  82. Lichtenstein, D.; van Hooland, S.; Elbers, P.; Malbrain, M.L. Ten good reasons to practice ultrasound in critical care. Anaesthesiol. Intensive Ther. 2014, 46, 323–335. [Google Scholar] [CrossRef] [PubMed]
  83. Reissig, A.; Copetti, R. Lung ultrasound in community-acquired pneumonia and in interstitial lung diseases. Respiration 2014, 87, 179–189. [Google Scholar] [CrossRef] [PubMed]
  84. Cereda, M.; Xin, Y.; Goffi, A.; Herrmann, J.; Kaczka, D.W.; Kavanagh, B.P.; Perchiazzi, G.; Yoshida, T.; Rizi, R.R. Imaging the Injured Lung: Mechanisms of Action and Clinical Use. Anesthesiology 2019, 131, 716–749. [Google Scholar] [CrossRef]
  85. Tuinman, P.R.; Jonkman, A.H.; Dres, M.; Shi, Z.H.; Goligher, E.C.; Goffi, A.; de Korte, C.; Demoule, A.; Heunks, L. Respiratory muscle ultrasonography: Methodology, basic and advanced principles and clinical applications in ICU and ED patients—A narrative review. Intensive Care Med. 2020, 46, 594–605. [Google Scholar] [CrossRef] [PubMed]
  86. Haji, K.; Royse, A.; Green, C.; Botha, J.; Canty, D.; Royse, C. Interpreting diaphragmatic movement with bedside imaging, review article. J. Crit. Care 2016, 34, 56–65. [Google Scholar] [CrossRef] [PubMed]
  87. Jia, Y.; Zhang, Q. Research Progress on Diaphragm Ultrasound in Chronic Obstructive Pulmonary Disease: A Narrative Review. Ultrasound Med. Biol. 2022, 48, 587–597. [Google Scholar] [CrossRef] [PubMed]
  88. Westerway, S.C.; Basseal, J.M.; Brockway, A.; Hyett, J.A.; Carter, D.A. Potential infection control risks associated with ultrasound equipment—A bacterial perspective. Ultrasound Med. Biol. 2017, 43, 421–426. [Google Scholar] [CrossRef]
  89. Moore, C.L.; Wang, J.; Battisti, A.J.; Chen, A.; Fincke, J.; Wang, A.; Baloescu, C. Interobserver Agreement and Correlation of an Automated Algorithm for B-Line Identification and Quantification with Expert Sonologist Review in a Handheld Ultrasound Device. J. Ultrasound Med. 2022, 41, 2487–2495. [Google Scholar] [CrossRef]
  90. Kumar, A.; Kugler, J.; Jensen, T. Evaluation of trainee competency with point-of-care ultrasonography (POCUS): A conceptual framework and review of existing assessments. J. Gen. Intern. Med. 2019, 34, 1025–1031. [Google Scholar] [CrossRef]
Figure 1. Transverse view of normal vocal folds during valsalva (adduction). FVF, false vocal fold; TVF, true vocal fold. White arrow indicates hyperechoic medial margins of true vocal folds meeting in midline. Reproduced with permission of Dr. Noel from [20].
Figure 1. Transverse view of normal vocal folds during valsalva (adduction). FVF, false vocal fold; TVF, true vocal fold. White arrow indicates hyperechoic medial margins of true vocal folds meeting in midline. Reproduced with permission of Dr. Noel from [20].
Jcm 13 00750 g001
Figure 2. Transverse view of normal vocal folds during relaxation (abduction). ARY, arytenoid; FVF, false vocal fold; TVF, true vocal fold. White arrows indicate hyperechoic medial margins of true vocal folds. Reproduced with permission of Dr. Noel from [20].
Figure 2. Transverse view of normal vocal folds during relaxation (abduction). ARY, arytenoid; FVF, false vocal fold; TVF, true vocal fold. White arrows indicate hyperechoic medial margins of true vocal folds. Reproduced with permission of Dr. Noel from [20].
Jcm 13 00750 g002
Figure 3. The imaging from laryngeal ultrasound demonstrates the air column width before (A) and after (B) endotracheal tube cuff deflation. After cuff deflation, the fan-shaped widening air column width obliterates surrounding structures such as vocal cords and arytenoid cartilage by acoustic shadow (T, thyroid cartilage; V, vocal cord; A, arytenoid cartilage). Reproduced with permission of Dr. Sutherasan from [16].
Figure 3. The imaging from laryngeal ultrasound demonstrates the air column width before (A) and after (B) endotracheal tube cuff deflation. After cuff deflation, the fan-shaped widening air column width obliterates surrounding structures such as vocal cords and arytenoid cartilage by acoustic shadow (T, thyroid cartilage; V, vocal cord; A, arytenoid cartilage). Reproduced with permission of Dr. Sutherasan from [16].
Jcm 13 00750 g003
Figure 4. The Blue Protocol ([80], modified).
Figure 4. The Blue Protocol ([80], modified).
Jcm 13 00750 g004
Figure 5. Example of LUS images of (A) normal aerated lung with pleural and A-line; (B) pleural effusion and associated parenchymal consolidation; (C) B-lines sign of interstitial syndrome.
Figure 5. Example of LUS images of (A) normal aerated lung with pleural and A-line; (B) pleural effusion and associated parenchymal consolidation; (C) B-lines sign of interstitial syndrome.
Jcm 13 00750 g005
Figure 6. (A,B): Measurement of the end-inspiratory and end-expiratory diaphragmatic thickness; (C) measurement of the DE.
Figure 6. (A,B): Measurement of the end-inspiratory and end-expiratory diaphragmatic thickness; (C) measurement of the DE.
Jcm 13 00750 g006
Table 1. US and airway studies.
Table 1. US and airway studies.
First Author, YearStateKind of StudyN. Subject
Endotracheal tube (ETT) positioning assessment
Hoffmann B et al., 2014 [7]USAObservational study86
Wojtczak JA et al., 2014 [8]USASperimental
Hossein-Nejad, 2021 [9]IranRCT16 students perform trial on 3 different cadavers
Sim SS et al., 2011 [10]TaiwanObservational study115
Upper Airways damage identification
Schick M et al., 2016 [11]USACase report1
Adi O et al., 2020 [12]MalaysiaCase series4
Difficult airways management and post-trauma injury identification
Nicholls SE et al., 2008 [13]USAQuasi sperimental50
Adi O et al., 2021 [14]MalaysiaCase report1
Iqhbal M et al., 2018 [15]MalaysiaCase report1
Laringeal edema assessment pre-extubation
Sutherasan Y et al., 2013 [16]ThailandObservational study101
Mikaeili H 2014 [17]IranProspective study41
Table 2. Proposed focused airway ultrasound findings in correlation to the Schaefer Classification System and standard management of laryngeal injury (Adi O et al. [12], 2020; modified).
Table 2. Proposed focused airway ultrasound findings in correlation to the Schaefer Classification System and standard management of laryngeal injury (Adi O et al. [12], 2020; modified).
Schaefer ClassificationCT Scan Findings, Based on Schaefer ClassificationFocused Airway Ultrasound FindingsStandard Management and Intervention
Group 1Minor endolaryngeal hematoma or laceration without detectable fractureEndolaryngeal hematoma without detectable fractureSupportive care including observation, antibiotics, humidified air, supplemental oxygen, anti-reflux medications, voice rest and early steroid administration
Group 2Edema, hematoma, minor mucosal disruption without exposed cartilage, nondisplaced fracture noted on CTEdema, endolaryngeal hematoma, minor mucosal disruption without exposed cartilage, nondisplaced fracture, mucosal hematoma/edema, nondisplaced fracture of cartilage frameworkPatients with Group 2 injuries should be serially examined, since the injuries may worsen or progress with time. Occasionally group 2 injuries may require a tracheotomy
Group 3Massive edema, mucosal tear, exposed cartilage, cord immobility, displaced fractureEdema, cord immobility, displaced fracture, vocal fold immobility, obvious displaced fractureDirect laryngoscopy, esophagoscopy and immediate open surgical repair are deemed necessary due to extension of injuries
Group 4Addition of more than two fracture lines or massive trauma to laryngeal mucosaAddition of more than two fracture lines, comminuted fracture of laryngeal cartilage framework
Group 5Complete laryngeal separation
Table 3. US and breathing studies.
Table 3. US and breathing studies.
First Author, YearStateKind of StudyN. Subject
Protocol on lung US
Lichtenstein DA and Mezier GA, 2008 [23]FranceObservational study 301
Asmara OD et al., 2022 [24]IndonesiaSystematic review and meta-analysis
Dexheimer Neto FL et al., 2015 [25]BrazilObservational study 42
Patel CJ et al., 2018 [26]IndiaObservational study50
Chaitra S and Hattiholi VV, 2022 [27]IndiaCross-sectional study130
Arslan B and Sonmez O, 2022 [28]InstanbulCase report1
Haaksma, ME et al., 2019 [29]The NetherlandsCase report1
Staub LJ et al., 2019 [30]BrazilSystematic review and meta-analysis
Chavez MA et al., 2014 [31]PerùSystematic review and meta-analysis
Alzahrani, S.A [32]Saudi ArabiaSistematic review
Grabala J et al., 2020 [33]PolandCase study1
Gardecki J et al., 2019 [34]USACase study1
Pneumothorax (PNX)
Lichtenstein DA et al., 2005 [35]FranceObservational study200
Zhang G et al., 2021 [36]ChinaCase report1
Mallow C et al., 2019 [37]USAObservational study159
Aziz SG et al., 2016 [38]USACase report1
ARDS
Bass CM et al., 2015 [39]USAProspective comparative study77
Todur P et al., 2021 [40]IndiaObservational study37
Zhao Z et al., 2015 [41] ChinaObservational study21
Xie Y et al., 2021 [42]ChinaProspective observational study121
Wang R et al., 2022 [43]ChinaProspective observational study92
See KC et al., 2018 [44]SingaporeRetrospective observational study456
Lv W et al., 2019 [45]ChinaProspective observational (?)112
Diagnostic accuracy
Riishede M et al., 2021 [46]DenmarkRCT211
Mantuani D et al., 2016 [47]UKObservational study57
Laursen CB et al., 2013 [48]DenmarkObservational study139
Zieleskiewicz L et al., 2013 [49]FranceObservational study165
Barman B et al., 2020 [50]IndiaObservational study108
Sen S et al., 2017 [51]USAProspective study50
Silva S et al., 2013 [52]FranceObservational study78
Yuan X et al., 2021 [53]ChinaSystematic review and meta-analysis
Smit JM et al., 2021 [54]The NetherlandsObservational study87
Chiumello et al., 2019 [55]ItalyERS statement
Hew M et al., 2015 [56]SingaporeSystematic review
Tierney DM et al., 2020 [57]USA Cohort study67
Nazerian P et al., 2015 [58]ItalyObservational study285
Time-to-diagnosis improvement
Lichtenstein DA and Mezier GA, 2008 [23]FranceObservational study 301
Gaber HR et al., 2019 [59]Egypt/USARCT59
Zare MA et al., 2022 [60]IranObservational study103
Baid H et al., 2022 [61]IndiaObservational study237
Riishede M et al., 2021 [46]DenmarkRCT211
Kilaru D et al., 2021 [62]USACase report1
Chong WH et al., 2021 [63]USACase report1
Kalın BS et al., 2020 [64]Turkey Observational study 62
Chu SE et al., 2022 [65]Taiwan Cohort study50
Antenora F et al., 2017 [66]ItalyPilot study41
Elsayed AA et al., 2022 [67]CanadaObservational study15
Marchioni A et al., 2018 [68]ItalyCohort study75
Cammarota G et al., 2019 [69]ItalyEvaluation study22
Barbariol F et al., 2021 [70]Italy Observational study 47
Laverdure F et al., 2019 [71]FranceClinical trial50
Shrestha GS et al., 2017 [72]NepalLetter to editor
Hayat A et al., 2017 [73]UK Cross-sectional comparative study 100
Pirompanich P and Romsaiyut S, 2018 [74]ThailandObservational study34
Tenza-Lozano E et al., 2018 [75]Spain Cross-sectional comparative study 109
Haaksma ME et al., 2021 [76]UKCase report1
Doyle MP et al., 2020 [77]USACase report1
Yajima W et al., 2022 [78]JapanCase report1
Shrestha GS et al., 2014 [79]NepalCase report2
Table 4. Studies that compared the US approach to standard clinical evaluation.
Table 4. Studies that compared the US approach to standard clinical evaluation.
Diagnostic Accuracy with Standard Care vs. POCUSAppropriate Treatment with Standard Care vs. POCUS
Controlled multicenter studyRiishede M et al., 2021 [46]77.1–79.3%65.7–79.3%
Observational studyMantuani D et al., 2016 [47]53–77%
Randomized controlled studyLaursen CB et al., 2014 [48]63.7–88.0%
Prospective observational studyZieleskiewicz L et al., 2013 [49]80–94%
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sartini, S.; Ferrari, L.; Cutuli, O.; Castellani, L.; Bagnasco, M.; Moisio Corsello, L.; Bracco, C.; Cristina, M.L.; Arboscello, E.; Sartini, M. The Role of Pocus in Acute Respiratory Failure: A Narrative Review on Airway and Breathing Assessment. J. Clin. Med. 2024, 13, 750. https://doi.org/10.3390/jcm13030750

AMA Style

Sartini S, Ferrari L, Cutuli O, Castellani L, Bagnasco M, Moisio Corsello L, Bracco C, Cristina ML, Arboscello E, Sartini M. The Role of Pocus in Acute Respiratory Failure: A Narrative Review on Airway and Breathing Assessment. Journal of Clinical Medicine. 2024; 13(3):750. https://doi.org/10.3390/jcm13030750

Chicago/Turabian Style

Sartini, Stefano, Lorenzo Ferrari, Ombretta Cutuli, Luca Castellani, Maddalena Bagnasco, Luca Moisio Corsello, Cristina Bracco, Maria Luisa Cristina, Eleonora Arboscello, and Marina Sartini. 2024. "The Role of Pocus in Acute Respiratory Failure: A Narrative Review on Airway and Breathing Assessment" Journal of Clinical Medicine 13, no. 3: 750. https://doi.org/10.3390/jcm13030750

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