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Lung ultrasound to evaluate aeration changes in response to recruitment maneuver and prone positioning in intubated patients with COVID-19 pneumonia: preliminary study

Abstract

Background

This single-center preliminary prospective observational study used bedside ultrasound to assess the lung aeration modifications induced by recruitment maneuver and pronation in intubated patients with acute respiratory disease syndrome (ARDS) related to coronavirus 2019 disease (COVID-19).

All adult intubated COVID-19 patients suitable for pronation were screened. After enrollment, patients underwent 1 h in a volume-controlled mode in supine position (baseline) followed by a 35-cmH2O-recruitment maneuver of 2 min (recruitment). Final step involved volume-controlled mode in prone position set as at baseline (pronation). At the end of the first two steps and 1 h after pronation, a lung ultrasound was performed, and global and regional lung ultrasound score (LUS) were analyzed. Data sets are presented as a median and 25th–75th percentile.

Results

From January to May 2022, 20 patients were included and analyzed. Global LUS reduced from 26.5 (23.5–30.0) at baseline to 21.5 (18.0–23.3) and 23.0 (21.0–26.3) at recruitment (p < 0.001) and pronation (p = 0.004). In the anterior lung regions, the regional LUS were 1.8 (1.1–2.0) following recruitment and 2.0 (1.6–2.2) in the supine (p = 0.008) and 2.0 (1.8–2.3) in prone position (p = 0.023). Regional LUS diminished from 2.3 (2.0–2.5) in supine to 2.0 (1.8–2.0) with recruitment in the lateral lung zones (p = 0.036). Finally, in the posterior lung units, regional LUS improved from 2.5 (2.3–2.8) in supine to 2.3 (1.8–2.5) through recruitment (p = 0.003) and 1.8 (1.3–2.2) with pronation (p < 0.0001).

Conclusions

In our investigation, recruitment maneuver and prone positioning demonstrated an enhancement in lung aeration when compared to supine position, as assessed by bedside lung ultrasound.

Trial registration: www.clinicaltrials.gov, Number NCT05209477, prospectively registered and released on 01/26/2022.

Introduction

In coronavirus 2019 disease (COVID-19) patients undergoing invasive mechanical ventilation (IMV), prone positioning has been adopted as a rescue therapy to improve oxygenation [1]. In conventional acute respiratory distress syndrome (ARDS) switching from supine to prone position allows the achievement of a more homogenous gas-to-tissue ratio distribution across the lung by releasing the dorsal atelectasis at expense of the ventral zones [2]. However, lung collapse redistribution is a phenomenon mainly observed in early ARDS [3, 4]. As recently described in COVID-19 ARDS, the extent of atelectasis redistribution is strongly related to the amount of consolidated tissue present in the dorsal lung regions [5]. Thus, the response to the prone position and recruitment maneuver relies on the extent of consolidation present in the posterior lungs, which is increased in the advanced stages of the disease [5, 6]. In intubated COVID-19 ARDS patients, the assessment of the lung reaeration secondary to prone position and recruitment maneuver has been commonly evaluated through computer-tomography (CT) scans [5, 7]. In COVID-19 ARDS, lung ultrasound has been recommended as a lung monitoring tool during IMV [8]. In conventional and COVID-19 ARDS, the lung ultrasound score (LUS) is a reliable tool for the assessment of global and regional lung aeration [9,10,11,12,13]. Accordingly, we hypothesized that lung ultrasound could be employed in the evaluation of lung aeration following recruitment maneuver and prone position in intubated patients suffering from ARDS related to COVID-19.

The primary aim of the present single-center preliminary investigation was the evaluation of lung aeration in response to recruitment maneuver and prone positioning, through the use of bedside lung ultrasound.

Methods

The present analysis, registered at www.clinicaltrials.com (NCT05209477, released on 01/26/2022), was conducted on prospectively collected data describing the clinical course of COVID-19 patients admitted to the ICU of Perugia University Hospital, Italy, following the approval by the local ethical committee (Protocol No. 3658/20). The study was performed in line with the Helsinki Declaration principles. Written informed consent was waived due to the observational nature of the study. All patients were treated according to the standard clinical practice and local institutional protocol.

Enrollment

From January to May 2022, all critically ill adult patients undergoing IMV with sedation and muscular paralysis for ARDS related to COVID-19 and suitable for prone positioning as a rescue therapy were screened. Concurring with the local institutional protocol, the decision was made to prone patients when the partial arterial oxygen tension on inspired oxygen fraction ratio (PaO2/FiO2) was < 150 mmHg following intubation by an attending physician [14]. Exclusion criteria included: pregnancy, inability to obtain a complete lung ultrasound assessment due to difficult sonographic windows, any contraindication to prone position [15], pneumothorax and pneumomediastinum, chronic obstructive pulmonary disease, any contraindication to recruitment maneuver [16], hemodynamic instability [17], prone position application after 3 days from IMV onset [7].

Study protocol

Enrolled patients were initially ventilated using a volume-controlled setting in the supine position (baseline) to achieve tidal volumes of 6 to 8 ml/kg [5] of predicted body weight. In addition, positive end-expiratory pressure (PEEP) was applied in combination with an inspired oxygen fraction (FiO2) defined by low PEEP–FiO2 tables to achieve peripheral oxygen saturations (SpO2) of 88–95% [18].

After the onset of 1 h of protective ventilation, a 2-min-lasting recruitment maneuver was administrated in the pressure-controlled ventilation mode (recruitment) with a total inspiratory pressure of 35 cmH2O [5]. The PEEP and FiO2 remained as set up during baseline step and the mechanical respiratory rate was set to 10 breaths/min with an inspiration-to-expiration ratio of 1:1. Subsequently, patients were proned whilst remaining on the same ventilator settings as in baseline step (pronation).

Measurements

Before the study enrollment, the following demographic and clinical data were collected: age, gender, predicted body weight, PaO2/FiO2 after intubation, comorbidities, days spent with NIRS before intubation, infection diagnosis to intubation delay, hospital admission to intubation delay, IMV duration, sequential organ failure assessment (SOFA) score, PEEP, and FiO2. Following completion of STEP1, 2, and 1 h of prone position lung ultrasound and arterial blood gases (ABGs) analysis were carried out whilst also assessing respiratory system mechanics and hemodynamic status. ABGs analysis was performed to assess pH, PaO2, PaO2/FiO2, and partial arterial carbon dioxide tension (PaCO2).

Expiratory tidal volume and respiratory rate values were obtained from the ventilator [19] at the end of each step and respiratory system compliance along with driving pressure were computed. Vital signs were continuously assessed for the whole study duration, monitoring the SpO2, invasive arterial blood pressure, heart rate, and ECG.

Technical components

Lung ultrasound was performed at the bedside as previously described [20,21,22], using a portable ultrasound machine equipped with both 2.0–4.0 MHz-convex and 7.5–12.0 MHz-linear probes (MylabX6, Esaote SPA, Italy). Six quadrants for each hemithorax were scanned: the superior and inferior parts of the anterior, lateral, and posterior regions of the chest wall. In each region, LUS and the corresponding aeration pattern were computed as previously indicated [20,21,22]: A-line alone or in combination with less than 3 B lines (0 point—normal aeration pattern); B lines present in less than 50% of the pleural line (1 point—B1 aeration pattern); B lines present in more than 50% of the pleural line (2 points—B2 aeration pattern); total loss of aeration suggestive for lung consolidation (3 points—C aeration pattern). Accordingly, global and regional LUS were computed. The global LUS was defined as the sum of the scores obtained in the 12 sonographic lung regions and varied from a minimum of 0 (normal aeration pattern) to a maximum of 36 (complete loss of aeration) [20,21,22]. The regional LUS was computed for the anterior, lateral, and posterior regions of interest as well as the superior and inferior regions [20]. The regional LUS corresponded to the mean score of all pertaining intercostal spaces of each region and ranged from a minimum of 0 points to a maximum of 3 points.

The ultrasonography assessors were not involved in patients’ care. In addition, ultrasonographic and clinical data were independently gathered and stored by a data collector, not involved in the ultrasound assessment and patients’ care.

Statistical analysis

According to previous findings [19], to observe a reduction of LUS from 22 ± 3 in supine position to 20 ± 4.9 in prone position, a total sample size of 20 subjects was computed (Type I error rate of 0.05 and a Type II error rate of 0.20, 80% power).

Continuous variables were described as median and 25th–75th interquartile range. The comparison between all the study steps was performed by Friedman’s test for nonparametric repeated measures and Post Hoc test with Bonferroni’s correction. To assess the effects of ventilatory strategy (supine, recruitment, prone) and lung region of interest (anterior, lateral, and posterior–superior and inferior) on the dependent variable, a generalized mixed model analysis with Satterthwaite methods for degrees of freedom and Post Hoc test with Bonferroni’s correction were employed. A generalized linear mixed model (GLMM) was estimated on the observed data. The graphical representation of the GLMM predicted values of PaO2/FiO2 according to LUS has been reported together with the 95% confidence bounds. Two-tailed tests were applied for hypothesis testing and statistical significance was considered for p values < 0.05. Statistical analyses were carried out through R3.5.2 software (The R Foundation).

Results

From January to May 2022, 26 critically ill adult COVID-19 patients undergoing IMV and prone positioning were screened of whom 20 were enrolled and analyzed (Fig. 1). The baseline clinical characteristics of the study population are reported in Table 1. Three patients received 1 pronation attempt before the study day.

Fig. 1
figure 1

Enrollment flow diagram. COVID-19, disease related to coronavirus 2019; COPD, chronic obstructive pulmonary disease

Table 1 Baseline clinical characteristics of the study population

Respiratory mechanics, ABGs, and hemodynamics are presented in Table 2. As expected, the application of a recruitment maneuver increased the driving pressure, plateau pressure, and tidal volume with respect to supine and prone position (p < 0.001 for all comparisons), whereas no modifications were observed in the respiratory system compliance. Mechanical respiratory rate diminished with recruitment maneuver compared to the supine and prone position (p < 0.001 for all comparisons), as per study protocol. PaO2/FiO2 values progressively improved switching from supine to recruitment (p = 0.022) and from recruitment to prone position (p = 0.008), where PaO2/FiO2 was higher compared to supine (p < 0.001), respectively. PaCO2 and pH reduced with recruitment maneuver and prone positioning compared to supine (PaCO2: p < 0.001 and p = 0.010; pH: p < 0.001 and p = 0.013). Hemodynamics did not change across all the study steps.

Table 2 Respiratory mechanics, arterial blood gases, and hemodynamics

Table 3 describes LUS. Global LUS diminished with recruitment maneuver and prone position with respect to supine (p < 0.001 and p = 0.004). Moreover, recruitment maneuver caused a greater improvement in global LUS compared to prone position (p = 0.002). In the generalized mixed model analysis, LUS was not dissimilar when the interaction between intervention (supine, recruitment, prone), lung region (anterior, lateral, posterior–superior, inferior), and body side (left, right) was considered. Figure 2 depicts the regional LUS according to the generalized mixed model analysis based on interaction amongst the intervention and lung regions of interest regardless of the body side. As depicted in Fig. 2 A, recruitment maneuver reduced regional LUS with respect to supine (p = 0.008) and prone position (p = 0.023) in anterior lung regions, as well as to supine, in lateral lung regions (p = 0.036). In the posterior regions, regional LUS progressively decreased switching from supine to recruitment maneuver (p = 0.003) and from recruitment to prone position (p < 0.0001), where regional LUS was lower than in the supine position (p = 0.002). Moreover, regional LUS was higher for the supine compared to the recruitment maneuver and prone for both superior (vs recruitment p < 0.001; vs prone p = 0.024) and inferior lung regions (p < 0.0001 for all comparisons). The aeration pattern distribution across all study steps is represented in Fig. 3. In the anterior lung regions, recruitment maneuver induced an increase in B1 pattern as well as a reduction in B2 pattern when compared to supine (p = 0.039 and p = 0.022). The same lung regions showed a worsening C pattern moving from recruitment to prone position (p = 0.030). In the lateral lung regions, recruitment improved the C pattern with respect to supine (p = 0.020). Finally, in the posterior lung regions, the B1 pattern was more pronounced in the prone position compared to supine (p < 0.001) and recruitment (p = 0.004), whereas the C pattern diminished with recruitment and prone position with respect to supine (p = 0.016 and p = 0.033).

Table 3 Lung ultrasound
Fig. 2
figure 2

Regional lung ultrasound score. A Regional ultrasound score for anterior, lateral, and posterior regions of interest regardless of body side. Data are present as boxes (median and 25th–75th percentile) and whiskers (minimum to maximum) for anterior, lateral, and posterior regions of interest at supine, recruitment, and prone position. * vs supine, p = 0.008; † vs recruitment, p 0.023; ‡ vs supine. p = 0.036; ** vs supine, p = 0.003; †† vs supine, p < 0.0001; ‡‡ vs recruitment, p = 0.002. B Regional ultrasound score for superior and inferior regions of interest regardless of the body side. Data are present as boxes (median and 25th–75th percentile) and whiskers (minimum to maximum) for superior and inferior regions of interest at supine, recruitment, and prone position. * vs supine, p < 0.001; † vs supine, p 0.024; ‡ vs supine, p < 0.0001

Fig. 3
figure 3

Regional aeration pattern. Regional aeration pattern for anterior, lateral, and posterior regions of interest regardless of the body side. Aeration distribution considering all the lung ultrasound patterns (0–3) lung are expressed as mean and standard deviation for each region of interest at supine, recruitment, and prone position, regardless of body side. Normal aeration pattern (lung ultrasound score 0—white); B1 aeration pattern (lung ultrasound score 1—light grey); B2 aeration pattern (lung ultrasound score 2—dark grey); C aeration pattern (lung ultrasound score 3—ultra-dark grey). Anterior region of interest: * vs supine for B1, p = 0.039; † vs supine for B2, p 0.022; ‡ vs recruitment for C, p = 0.030. Lateral region of interest: ** vs supine for C, p = 0.020. Posterior region of interest: †† vs supine for B1, p < 0.001; ‡‡ vs recruitment for B1, p = 0.004; *** vs supine for C, p = 0.016; ††† vs supine for C, p = 0.033

The trends of predicted PaO2/FiO2 at varying global LUS in response to supine, recruitment, and prone position are displayed in Fig. 4. Overall, predicted PaO2/FiO2 values reduced with the rise of global LUS regardless of the study conditions (p = 0.010). However, predicted PaO2/FiO2 was higher in the prone position compared to supine and recruitment (p < 0.001 for all comparisons).

Fig. 4
figure 4

Predicted PaO2/FiO2 at varying global lung ultrasound scores in response to supine, recruitment maneuver, and prone position. Predicted PaO2/FiO2 modifications according to global lung ultrasound score with 95% confidence intervals adjusted for interventions, i.e., prone position (red), recruitment (blue), and supine (green) are depicted. Fixed effect global lung ultrasound score estimate (95% CI) = − 4.1 (− 7.0 to − 1.1); p = 0.010. Fixed effect prone vs supine estimate (95% CI) = 46.17 (26.8 to 65.6); p < 0.001. Fixed effect prone vs recruitment estimate (95% CI) = 42.5 (26.8 to 65.6); p < 0.001. PaO2/FiO2, partial arterial oxygen tension on inspired oxygen fraction ratio

Discussion

The main findings of the present single-center preliminary investigation can be summarized as follows: (1) overall, recruitment maneuver and prone position improved global and regional LUS; (2) Recruitment maneuver led to improved regional lung aeration patterns in most of the sonographic regions of interest, by increasing B1 pattern in anterior regions and reducing C pattern in lateral and posterior regions; (3) Despite worsening in lung aeration in anterior lung regions, the prone position enhanced regional lung aeration pattern in the posterior lung units by increasing B1 pattern and diminishing C pattern.

The variability of the response to recruitment and prone position is high in COVID-19 patients, despite the same degree of hypoxemia [5, 7, 23]. As recently reported [5], in the early stages of COVID-19 ARDS, a 35-cmH2O-recruitment maneuver was usefully employed to reduce the atelectatic lung tissue distribution compared to 5-cmH2O-ventilation in the supine position. In addition, a more homogeneous gas-to-tissue ratio was achieved by prone positioning compared to supine owing to the re-expansion of the dorsal lung units at the expense of ventral atelectasis [5, 7]. This response can be altered depending on the superimposed pressure gradient across the lung [24], the shape of the lung and the chest wall, the compression of the lung by the abdomen and heart, the compliance of the non-dependent and dependent chest wall, and the vertical distribution of the lung mass.

In keeping with previous findings [5], however, the effects exerted on atelectasis by recruitment maneuver and prone position are strongly related to lung disease history. Undeniably, significant lung consolidation and fibrotic changes are observed in the advanced stages of COVD-19 ARDS, reducing the recruitability of lung tissue through maneuvers, when compared to early phases of the disease.

In our COVID-19 patients’ cohort, we observed that recruitment maneuver exerted its effects by improving aeration in the anterior, lateral, and posterior regions of the lungs. In turn, the prone position enhanced the posterior lung aeration at the expense of the anterior lung regions, where atelectasis was increased, probably as a consequence of increased superimposed pressure as previously described [5, 7].

The response in oxygenation to recruitment maneuver and prone position is attributable to the balance of lung recruitment/de-recruitment and the modifications of lung perfusion. In particular, the variations in oxygenation following a 35-cmH2O recruitment maneuver will be reliant on the balance between the perfusion of the re-expanded lung units and the degree of diverted blood flow to the consolidated lung zones [5]. In the prone position, the gravitational blood flow diversion to the ventral atelectatic regions counterbalances the oxygenations alterations induced by alveolar recruitment [5]. Furthermore, the pulmonary perfusion distribution is variously affected by COVID-19 [25, 26].

In our series, recruitment maneuver and prone position improved overall oxygenation as described by PaO2/FiO2 modifications observed. In addition, contrary to previous findings [5, 7], we observed a reduction of PaCO2 with recruitment maneuver and prone position compared to supine. During the interpretation of our results, it is worth considering the history of the disease with the consequent implications on the lung recruitability, and NIRS duration before intubation. Undoubtedly, our population was studied at an earlier stage of the disease and with fewer days spent on NIRS than elsewhere described [5]. Thus, our cohort of COVID-19 patients might have experienced less patients-self-induced lung injury. In addition, the median PEEP of 10 cmH2O set in our study according to low PEEP–FiO2 tables was different with respect to previous investigations [5, 7]. Thus, it is presumed that our approach was more considerate of the disease and lung recruitability, as previously observed in conventional ARDS [27], compared to a fixed 5-cmH2O-PEEP strategy [5] or a PEEP chosen at the discretion of the attending physician [7].

The strength of the present paper consists in highlighting the usefulness of lung ultrasound to assess lung aeration modifications in response to recruitment maneuver and prone position, at the patient’s bedside in early ARDS related to COVID-19. In the context of a pandemic, where work overload and infection control restrictions may not allow for the easy attainment of advanced radiological investigations, such as computer-tomography scans; this is extremely relevant.

The present investigation has several limitations as discussed in the following paragraph. This study was a single-center investigation. Although the computed sample size was based on PaO2/FiO2 modifications switching from supine to prone position, it was suitable to describe the lung ultrasound changes across all study steps. In interpreting our data, it is worth to consider the difference between conventional ARDS and COVID-19-related ARDS in terms of uncoupling between clinical presentation and anatomical characteristics of the lung due to the involvement of lung perfusion mainly at an early stage [28]. The cohort population of this study was not standardized for the COVID-19 ARDS phenotype or disease history. In addition, patients of this cohort study may have undergone one to two pronation attempts before the study enrollment. As a consequence, the response to maneuvers performed during the study might be affected by previous pronation attempts. We employed quantitative lung ultrasound to assess the lung aeration in our patients’ population. This tool has demonstrated a good diagnostic accuracy for COVID-19 pneumonia when compared to CT scan [13]. However, LUS has been introduced in pre-COVID-19 era for quantification of lung aeration. Thus, the irregular distribution of the interstitial involvement and consolidation alternating with spared areas at lung sonographic examination may raise several concerns on the accuracy of the LUS in assessing pulmonary aeration in COVID-19-related ARDS [29]. In addition, a new LUS examination relying on the evaluation of the pulmonary lesion extension and not the degree of lung aeration may be usefully employed to follow the progression of COVID-19 disease and personalize the treatments [29, 30].

In our series, we did not evaluate lung aeration and perfusion with computer-tomography scans or advanced respiratory monitoring tools, such as using electrical impedance tomography. Accordingly, we were not able to provide data and draw any conclusion about global and regional lung overdistension as well as lung perfusion modifications occurring at any time during the study. Due to it being a single-center analysis, further multicenter trials are required.

Conclusions

In our single-center preliminary observational study, as assessed through bedside lung ultrasound, recruitment maneuver improved lung aeration in the most of lung regions evaluated, whereas prone position enhanced the posterior lung regions’ aeration at the expense of the anterior lung regions.

Availability of data and materials

The data of the present investigation are available, upon reasonable request, by contacting the corresponding author.

Abbreviations

ABGs:

Arterial blood gases

ARDS:

Acute respiratory distress syndrome

COVID-19:

Coronavirus 2019 disease

FiO2:

Inspiratory oxygen fraction

IMV:

Invasive mechanical ventilation

LUS:

Lung ultrasound score

NIRS:

Non-invasive respiratory support

PaO2:

Arterial oxygen tension

PaO2/FiO2 :

Partial arterial oxygen tension on inspired oxygen fraction

PaCO2 :

Partial arterial carbon dioxide tension

PEEP:

Positive end-expiratory pressure

SOFA:

Sequential organ failure assessment

SpO2 :

Peripheral oxygen saturation

References

  1. Langer T, Brioni M, Guzzardella A et al (2021) Prone position in intubated, mechanically ventilated patients with COVID-19: a multi-centric study of more than 1000 patients. Crit Care 25:128. https://doi.org/10.1186/s13054-021-03552-2

    Article  Google Scholar 

  2. Gattinoni L, Taccone P, Carlesso E, Marini JJ (2013) Concise clinical review prone position in acute respiratory distress syndrome. Am J Respir Crit Care Med 188:1286–1293. https://doi.org/10.1164/rccm.201308-1532CI

    Article  CAS  Google Scholar 

  3. Cornejo RA, Diaz JC, Tobar EA et al (2013) Effects of prone positioning on lung protection in patients with acute respiratory distress syndrome. Am J Respir Crit Care Med 188:440–448. https://doi.org/10.1164/rccm.201207-1279OC

    Article  Google Scholar 

  4. Gattinoni L, Pesenti A, Carlesso E (2013) Body position changes redistribute lung computed-tomographic density in patients with acute respiratory failure: impact and clinical fallout through the following 20 years. Intensive Care Med 39:1909–1915. https://doi.org/10.1007/s00134-013-3066-x

    Article  Google Scholar 

  5. Rossi S, Palumbo MM, Sverzellati N et al (2022) Mechanisms of oxygenation responses to proning and recruitment in COVID-19 pneumonia. Intensive Care Med 48:56–66. https://doi.org/10.1007/s00134-021-06562-4

    Article  CAS  Google Scholar 

  6. Cammarota G, Vaschetto R, Turucz E et al (2011) Influence of lung collapse distribution on the physiologic response to recruitment maneuvers during noninvasive continuous positive airway pressure. Intensive Care Med 37:1095–1102. https://doi.org/10.1007/s00134-011-2239-8

    Article  Google Scholar 

  7. Protti A, Santini A, Pennati F et al (2022) Lung response to prone positioning in mechanically-ventilated patients with COVID-19. Crit Care 26:127. https://doi.org/10.1186/s13054-022-03996-0

    Article  Google Scholar 

  8. Vetrugno L, Mojoli F, Cortegiani A et al (2021) Italian society of anesthesia, analgesia, resuscitation, and intensive care expert consensus statement on the use of lung ultrasound in critically ill patients with coronavirus disease 2019 (ITACO). J Anesth Analg Crit Care 1:16. https://doi.org/10.1186/s44158-021-00015-6

    Article  Google Scholar 

  9. Chiumello D, Mongodi S, Algieri I et al (2018) Assessment of lung aeration and recruitment by ct scan and ultrasound in acute respiratory distress syndrome patients. Crit Care Med 46:1761–1768. https://doi.org/10.1097/CCM.0000000000003340

    Article  Google Scholar 

  10. Vetrugno L, Mojoli F, Boero E et al (2022) Level of diffusion and training of lung ultrasound during the COVID-19 pandemic—a national online italian survey (ITALUS) from the lung ultrasound working group of the Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care (SIAARTI). Ultraschall Med 43:464–472. https://doi.org/10.1055/a-1634-4710

    Article  Google Scholar 

  11. Vetrugno L, Baciarello M, Bignami E et al (2020) The “pandemic” increase in lung ultrasound use in response to Covid-19: can we complement computed tomography findings? Narrative Rev Ultrasound J 12:39. https://doi.org/10.1186/s13089-020-00185-4

    Article  Google Scholar 

  12. Cammarota G, Vetrugno L, Longhini F (2022) Lung ultrasound monitoring : impact on economics and outcomes. Curr Opin Anaesthesiol. https://doi.org/10.1097/ACO.0000000000001231

    Article  Google Scholar 

  13. Zieleskiewicz L, Markarian T, Lopez A et al (2020) Comparative study of lung ultrasound and chest computed tomography scan in the assessment of severity of confirmed COVID-19 pneumonia. Intensive Care Med 46:1707–1713. https://doi.org/10.1007/s00134-020-06186-0

    Article  CAS  Google Scholar 

  14. Guérin C, Reignier J, Richard JC et al (2013) Prone positioning in severe acute respiratory distress syndrome. N Engl J Med 368:2159–2168. https://doi.org/10.1056/NEJMoa1214103

    Article  CAS  Google Scholar 

  15. Guérin C, Albert RK, Beitler J et al (2020) Prone position in ARDS patients: why, when, how and for whom. Intensive Care Med 46:2385–2396. https://doi.org/10.1007/s00134-020-06306-w

    Article  CAS  Google Scholar 

  16. Cammarota G, Santangelo E, Lauro G et al (2021) Esophageal balloon calibration during sigh: a physiologic, randomized, cross-over study. J Crit Care 61:125–132. https://doi.org/10.1016/j.jcrc.2020.10.021

    Article  Google Scholar 

  17. Cammarota G, Verdina F, De Vita N et al (2022) Effects of varying levels of inspiratory assistance with pressure support ventilation and neurally adjusted ventilatory assist on driving pressure in patients recovering from hypoxemic respiratory failure. J Clin Monit Comput 36:419–427. https://doi.org/10.1007/s10877-021-00668-2

    Article  Google Scholar 

  18. Brower RG, Lanken PN, MacIntyre N et al (2004) Higher versus lower positive end-expiratory pressures in patients with the acute respiratory distress syndrome. N Engl J Med 351:327–336. https://doi.org/10.1056/NEJMoa1505949

    Article  CAS  Google Scholar 

  19. Cammarota G, Rossi E, Vitali L et al (2021) Effect of awake prone position on diaphragmatic thickening fraction in patients assisted by noninvasive ventilation for hypoxemic acute respiratory failure related to novel coronavirus disease. Crit Care 25:305. https://doi.org/10.1186/s13054-021-03735-x

    Article  Google Scholar 

  20. Robba C, Ball L, Battaglini D et al (2022) Effects of positive end-expiratory pressure on lung ultrasound patterns and their correlation with intracranial pressure in mechanically ventilated brain injured patients. Crit Care 26:31. https://doi.org/10.1186/s13054-022-03903-7

    Article  Google Scholar 

  21. Mongodi S, De Luca D, Colombo A et al (2021) Quantitative lung ultrasound: technical aspects and clinical applications. Anesthesiology 134:949–965. https://doi.org/10.1097/ALN.0000000000003757

    Article  Google Scholar 

  22. Cammarota G, Lauro G, Sguazzotti I et al (2020) Esophageal pressure versus gas exchange to set PEEP during intraoperative ventilation. Respir Care 65:625–635. https://doi.org/10.4187/respcare.07238

    Article  Google Scholar 

  23. Beloncle FM, Pavlovsky B, Desprez C et al (2020) Recruitability and effect of PEEP in SARS-Cov-2-associated acute respiratory distress syndrome. Ann Intensive Care 10:55. https://doi.org/10.1186/s13613-020-00675-7

    Article  CAS  Google Scholar 

  24. Gattinoni L, Pelosi P, Vitale G et al (1991) Body position changes redistribute lung computed-tomographic density in patients with acute respiratory failure. Anesthesiology 74:15–23. https://doi.org/10.1097/00000542-199101000-00004

    Article  CAS  Google Scholar 

  25. Ackermann M, Verleden SE, Kuehnel M et al (2020) Pulmonary vascular endothelialitis, thrombosis, and angiogenesis in Covid-19. N Engl J Med 383:120–128. https://doi.org/10.1056/nejmoa2015432

    Article  CAS  Google Scholar 

  26. Patel BV, Arachchillage DJ, Ridge CA et al (2020) Pulmonary angiopathy in severe COVID-19: physiologic, imaging, and hematologic observations. Am J Respir Crit Care Med 202:690–699. https://doi.org/10.1164/rccm.202004-1412OC

    Article  CAS  Google Scholar 

  27. Chiumello D, Cressoni M, Carlesso E et al (2014) Bedside selection of positive end-expiratory pressure in mild, moderate, and severe acute respiratory distress syndrome. Crit Care Med 42:252–264. https://doi.org/10.1097/CCM.0b013e3182a6384f

    Article  Google Scholar 

  28. Coppola S, Chiumello D, Busana M et al (2021) Role of total lung stress on the progression of early COVID-19 pneumonia. Intensive Care Med 47:1130–1139. https://doi.org/10.1007/s00134-021-06519-7

    Article  CAS  Google Scholar 

  29. Volpicelli G, Fraccalini T, Cardinale L et al (2022) Feasibility of a new lung ultrasound protocol to determine the extent of lung injury in COVID-19 pneumonia. Chest 163:176–184. https://doi.org/10.1016/j.chest.2022.07.014

    Article  Google Scholar 

  30. Vetrugno L, Meroi F, Orso D et al (2022) Can lung ultrasound be the ideal monitoring tool to predict the clinical outcome of mechanically ventilated COVID-19 patients? An Obs Study Healthcare 10:568. https://doi.org/10.3390/healthcare10030568

    Article  Google Scholar 

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Acknowledgements

We wish to thank all the nurses and physicians who contributed to conducting the present investigation during the COVID-19 pandemic.

Funding

The present investigation was conducted by institutional funding.

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Authors and Affiliations

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Contributions

All authors listed concur with the submitted version of the manuscript and with the listing of the authors. In particular, all authors meet the following criteria for authorship. Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; Drafting or revising the manuscript; Final approval of the version submitted for publication; Accountability for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. GC and EDR: conception of the work; GM, LV, FB, AG, GDG, RS, FT, ER, and MB: data management; DA: statistical analysis; GC and EDR: manuscript drafting; OD: language editing; GC, PN, LV, EB, SMM, and EDR: final version revision. All authors read and approved the final manuscript.

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Correspondence to Gianmaria Cammarota.

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Ethics approval and consent to participate

The present investigation is a secondary analysis of data prospectively collected to ascertain the characteristics and clinical course of COVID-19 patients in the ICU of the “Servizio di Anestesia e Rianimazione 2—Azienda Ospedaliera di Perugia, Italy” after approval of by the local ethical committee (Protocol No 3658/20). The study was conducted according to the principles outlined in the Helsinki Declaration, and written informed consent was waived owing to the observational nature of the study design, since all the patients were treated according to standard clinical practice and institutional protocol.

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Not applicable.

Competing interests

Prof Gianmaria Cammarota and Prof Edoardo De Robertis declares speaking honoraria from MSD and Getinge outside the present work. In addition, Prof Edoardo De Robertis received speaking honoraria from Baxter outside the present investigation. Prof Salvatore M Maggiore disclose having received speaking fees from GE Healthcare, Masimo, and Aspen outside the present work. Prof Paolo Navalesi declares to have received: grants, personal fees and non-financial support from Maquet Critical Care—Getinge; grants and non-financial support from Draeger and Intersurgical S.p.A; and personal fees from Gilead, Philips, Resmed, MSD, and Novartis, in each case for reasons that remain unrelated to the submitted work. Prof. Navalesi also contributed to the development of the patented ‘helmet Next’, the royalties for which are paid to Intersurgical Spa. Prof. Navalesi contributed to the development of a device not discussed in the present study with patent application number: EP20170199831. No conflict of interest must be declared by the remaining authors.

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Cammarota, G., Bruni, A., Morettini, G. et al. Lung ultrasound to evaluate aeration changes in response to recruitment maneuver and prone positioning in intubated patients with COVID-19 pneumonia: preliminary study. Ultrasound J 15, 3 (2023). https://doi.org/10.1186/s13089-023-00306-9

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