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Effects of positive end-expiratory pressure on lung ultrasound patterns and their correlation with intracranial pressure in mechanically ventilated brain injured patients
Critical Care volume 26, Article number: 31 (2022)
Abstract
Background
The effects of positive end-expiratory pressure (PEEP) on lung ultrasound (LUS) patterns, and their relationship with intracranial pressure (ICP) in brain injured patients have not been completely clarified. The primary aim of this study was to assess the effect of two levels of PEEP (5 and 15 cmH2O) on global (LUStot) and regional (anterior, lateral, and posterior areas) LUS scores and their correlation with changes of invasive ICP. Secondary aims included: the evaluation of the effect of PEEP on respiratory mechanics, arterial partial pressure of carbon dioxide (PaCO2) and hemodynamics; the correlation between changes in ICP and LUS as well as respiratory parameters; the identification of factors at baseline as potential predictors of ICP response to higher PEEP.
Methods
Prospective, observational study including adult mechanically ventilated patients with acute brain injury requiring invasive ICP. Total and regional LUS scores, ICP, respiratory mechanics, and arterial blood gases values were analyzed at PEEP 5 and 15 cmH2O.
Results
Thirty patients were included; 19 of them (63.3%) were male, with median age of 65 years [interquartile range (IQR) = 66.7–76.0]. PEEP from 5 to 15 cmH2O reduced LUS score in the posterior regions (LUSp, median value from 7 [5–8] to 4.5 [3.7–6], p = 0.002). Changes in ICP were significantly correlated with changes in LUStot (rho = 0.631, p = 0.0002), LUSp (rho = 0.663, p < 0.0001), respiratory system compliance (rho = − 0.599, p < 0.0001), mean arterial pressure (rho = − 0.833, p < 0.0001) and PaCO2 (rho = 0.819, p < 0.0001). Baseline LUStot score predicted the increase of ICP with PEEP.
Conclusions
LUS-together with the evaluation of respiratory and clinical variables-can assist the clinicians in the bedside assessment and prediction of the effect of PEEP on ICP in patients with acute brain injury.
Background
The use of high positive end-expiratory pressure (PEEP) in brain injured patients has been challenged [1]. Concerns regarding the potential detrimental effects of PEEP on cerebral hemodynamics include different pathophysiological mechanisms: the risk for increased intrathoracic pressure with reduced jugular venous outflow, hemodynamic instability [1,2,3,4], alveolar overdistension with consequent increase of arterial partial pressure of carbon dioxide (PaCO2), resulting in reduced cerebral perfusion pressure (CPP) and higher intracranial pressure (ICP).
As increased ICP is associated with poor outcome [5], it is fundamental for neuro-intensive care unit (ICU) physicians to better understand and possibly predict the effect of PEEP on the brain. In fact, in the past, brain injured patients were often ventilated with no- or very low PEEP because of these concerns [6]. Literature is lacking on this topic, as demonstrated by a recent systematic review and consensus on mechanical ventilation in brain injured patients [1].
In a small physiological study using quantitative Computed Tomography (qCT) [7], we showed that PEEP could be safe in brain injured patients when promoting alveolar recruitment, without causing alveolar hyperdistention, decreased mean arterial pressure and cerebral blood flow. However, although qCT is the gold standard for the evaluation of the amount of collapsed lung tissue regaining inflation [8], it requires transfer of the patient to the CT facility, and carries the risk of radiation exposure. In addition, PEEP titration is performed often at patients’ bedside during ICU stay and during the day, thus making unfeasible the use of serial CTs to make the decision to increase PEEP. Lung Ultrasonography (LUS) is a safe, repeatable and easily available bedside technique [9]. LUS has been widely used in patients with acute respiratory distress syndrome (ARDS) and COVID-19 pneumonia with the aim to assess lung recruitment after PEEP application or recruitment maneuvers [9,10,11,12]. However, LUS has never been applied in brain injured patients to assess ultrasound patterns correlated with the response of ICP to PEEP.
Therefore, we conducted a prospective observational study on a population of mechanically ventilated brain injured patients to assess the effect of two levels of PEEP – 5 cmH2O and 15 cmH2O—on global and regional LUS scores and their correlation with the changes of ICP, with the aim to evaluate if LUS can provide similar information as qCT about the effects of PEEP on lung densities and ICP.
Secondary aims included the assessment of the effect of PEEP on respiratory mechanics, PaCO2 and hemodynamics; the correlation between changes in ICP and LUS; the identification of factors at baseline as potential predictors of ICP response at higher PEEP.
Methods
This study is reported according to the “Strengthening the Reporting of Observational Studies in Epidemiology (STROBE)” statement guidelines for observational cohort studies (Additional file 1: ESM Table S1) [13] and was approved by the local ethics review board (Comitato Etico Regione Liguria, protocol n. CER Liguria: 23/2020). According to local regulations, written consent was obtained from patients’ next of kin, as all patients were unconscious at the time of inclusion.
Inclusion and exclusion criteria
Patients were screened for inclusion from August 1st 2020 to September 1st 2021, and considered eligible if they were > 18 years old, required mechanical ventilation and were admitted to the ICU of San Martino Policlinico Hospital, IRCCS for Oncology and Neuroscience, Genoa, Italy, after acute brain injury (i.e. subarachnoid hemorrhage, SAH; traumatic brain injury, TBI; intracranial hemorrhage, ICH) requiring invasive ICP monitoring, and if underwent LUS evaluation based on clinical indications at two different levels of PEEP (5 and 15 cmH20). Patients were excluded in case of absence of invasive ICP monitoring or informed consent, or if they did not receive LUS or PEEP test from 5 to 15 cmH20.
Data collection
Patients’ data were extrapolated from electronic clinical records and included admission demographics [i.e., age, sex, body mass index (BMI)], pre-injury comorbidities (i.e., respiratory, cardiological, kidney, metabolic diseases), type of acute brain injury (TBI, SAH, ICH), Glasgow Coma Scale (GCS) at ICU admission, type of ICP monitoring inserted (intraparenchymal or external ventricular drain), the occurrence of pulmonary and extrapulmonary ICU complications (i.e., sepsis, ventilator-associated pneumonia, acute kidney injury, other organs failure), and patients’ outcome, such as ICU length of stay, mortality and neurological status (as for Glasgow Outcome Score, GOS) at ICU discharge.
Patients’ clinical management
In the ICU, patients were sedated with propofol and/or midazolam and fentanyl, were intubated and mechanically ventilated in pressure or volume-controlled ventilation. Tidal volume was targeted to 6–8 mL per kg of predicted body weight (PBW); however, higher values of tidal volume were tolerated, if driving pressure was maintained below 15 cmH2O.
PEEP test and measurement of LUS and respiratory mechanics
The decision to perform a PEEP test was based on the clinician’s evaluation if optimization of mechanical ventilation was required, according to local protocols. PEEP test was performed in volume-controlled ventilation in all patients, under strict monitoring of ICP, without neuromuscular blockade. So far, no specific indications are available on the optimal levels of PEEP to be applied in brain injured patients [1]. A recent consensus [1] recommended to use the same level of PEEP applied in the non-brain injured population, and thus, in our center, in patients with deteriorating respiratory function a PEEP test is performed by slowly increasing PEEP (about 2 cmH2O every minute), from 5 to 15 cmH2O, and evaluating step by step the changes in respiratory mechanics and cerebral hemodynamics to set the optimal values of PEEP. Previous evidence and our clinical experience suggest that these values of PEEP are safe in brain injured patients [3, 7, 14].
Data were obtained at PEEP 15 cmH2O after allowing 5 min for stabilization. We used this relatively short time for high PEEP exposure before repetition of the cerebral and respiratory measurements, as previous studies showed that the majority of changes in volume and recruitment occurs in this timeframe and that most respiratory units recruit below 30 cmH2O [15, 16]. The chosen levels of PEEP (5 and 15 cmH2O) represent the standard levels of PEEP used to estimate response to PEEP in ARDS patients [17].
Data collected at PEEP 5 and PEEP 15 cmH2O included regional and global LUS score, as well as neuromonitoring parameters (ICP, optic nerve sheath diameter (ONSD), systolic (FVs), mean (FVm), and diastolic Flow Velocities (FVd); respiratory mechanics and arterial blood gases parameters including arterial partial pressure of oxygen (PaO2)/inspired fraction of oxygen (FiO2) ratio, tidal volume (VT), plateau pressure (Pplat), Crs, respiratory rate (RR), arterial saturation of oxygen (SaO2), arterial pH (pHa) and PaCO2.
Lung ultrasound
LUS was performed using a linear (12 MHz) or phased-array probe (2.5 MHz) for the visualization of pleural line or tissue-like pattern, respectively [12, 18, 19]. For each hemithorax, six regions were explored (upper and lower parts of anterior, lateral, and posterior chest wall). LUS videos were analyzed by two expert physicians (S.M., C.R.), and each clip was analyzed by two operators, whereas discordant clips were evaluated by a third. Analyzers were blinded to patients’ demographics and clinical status, PEEP level, and CT findings. Four ultrasound aeration patterns were defined with different scores: A line alone or less than three B lines (0 point); B lines with pleural involvement < 50% (1 point); B lines with pleural involvement > 50% (2 points), and lung consolidation (3 points) [20]. The worst ultrasound abnormality detected was considered as characterizing the region examined. The LUS score of each region (regional LUS score) corresponded to the average score of all pertaining intercostal spaces and ranged from 0 to 3. LUS score was then calculated globally (as the sum of the 12 regions score, ranging from 0 to 36), and regionally (LUSp, posterior, LUSa, anterior and LUSl, lateral regions). Lung ultrasound variations (ΔLUS) were computed as LUS score at PEEP 15—LUS score at PEEP 5 cmH2O; therefore, a reduction in lung ultrasound and negative values of ΔLUS will correspond to an increase in lung aeration at higher PEEP levels. On the contrary, an increase in LUS score and positive values of ΔLUS will correspond to a reduction in lung aeration at PEEP 15 cmH2O. The presence of air bronchogram and its characteristics (static/dynamic/punctiform/arborescent) was also reported.
Neuromonitoring
Invasive ICP monitoring was inserted according to our local policies and clinical practice, and following the latest Brain Trauma Foundation Guidelines [21]. Ultrasound measurements were performed after PEEP augmentation, contemporarily to the LUS evaluation. A selected group of operators (FI, LB, DB) with extensive experience in brain ultrasonography performed the optic nerve sheath diameter (ONSD) and transcranial Doppler (TCD) measurements. Ultrasound examination of the ONSD was performed using a 7.5 MHz linear ultrasound probe (Philips SparQ®), as previously described [22], with patients in supine position. Four measurements were obtained for each patient, in the axial and sagittal planes of both eyes, and the widest diameter visible 3 mm behind the retina was considered. The final ONSD value was calculated as the mean of the four values [22,23,24]. TCD was performed bilaterally through the temporal window, on the middle cerebral artery (MCA), using a phased array 2-MHz transducer (Philips SparQ®, Amsterdam, Netherlands) [25, 26]. Non-invasive ICP estimation based on TCD (ICPTCD) was calculated using a previously validated formula [27].
Statistical analysis
We were not able to perform an a priori sample size calculation as no studies on the effect of PEEP on LUS characteristics and ICP in brain injured patients are available. However, our sample size was higher compared to previous physiologic studies regarding PEEP augmentation in ARDS or in brain injured patients [28], and of a recent study using qCT for the assessment of recruitment in brain injured patients [7]. Data are reported as median (interquartile range, IQR), if not otherwise specified. Variables obtained at two levels of PEEP were compared using the Wilcoxon signed-rank test. Changes of variables from PEEP 5 to PEEP 15 were calculated as Δ (value at PEEP 15 cmH2O—value at PEEP 5 cmH2O). Correlations were sought using the Spearman’s rho. We further modeled ΔICP using linear regression as function of clinically sound covariates, adopting a variance inflation factor threshold of 5 as acceptable limit for multi-collinearity. All statistical analyses were performed in SPSS Statistics, Version 25.0 (IBM Corp., Armonk, NY, USA). Significance was assumed at two-tailed p < 0.05.
Results
Characteristics of the population
Over the described period, 42 patients were considered for inclusion. Among these, 11 were not monitored with invasive ICP, and one patient had no consent signed and was not included. A total of 30 patients were included in the final analysis. Four of them were also enrolled in our previous study [7]. Among these, 19 (63.3%) were males, with a median age of 65 years [51–73] (Table 1). Eighteen patients (60%) were admitted for TBI, 9 (30%) for SAH, and 3 (10%) for ICH. The median GCS score was 8 [3–12]. Five patients (16.6%) died in the ICU, and median GOS at ICU discharge was 4 [3, 4].
Effect of PEEP increase on lung ultrasound findings
After PEEP augmentation, total LUS score did not change significantly (from 12.5 [9.7–15] to 9.5 [6.7–13.2], p = 0.069) (Table 2, Fig. 1). Considering regional LUS score, LUSp was significantly lower after PEEP augmentation (7 [5–8] vs. 4.5 [3.7–6], p = 0.002) while no differences were found in LUSl and LUSa (3 [1–5] vs. 3 [1–4], p = 0.394 and 2 [0–4] vs. 2 [0–4], p = 0.895, respectively). Considering LUStot, the percentages of score 0 pattern were increased (p = 0.005), while in score 3 pattern were reduced (p = 0.007) after PEEP augmentation (Fig. 2). In the anterior areas, no differences were found in the LUS patterns increasing PEEP from 5 to 15 cmH2O. In the lateral areas, only the percentage of score 0 was increased after PEEP augmentation (p = 0.011). In the posterior areas, scores 0 and 1 were increased after PEEP augmentation (p < 0.014 and p < 0.002, respectively) while score 3 was reduced (p = 0.006). Dynamic punctiform air bronchogram was observed in ten patients. Punctiform static air bronchogram and arborescent static bronchogram were detected in two and six cases, respectively. Dynamic punctiform air bronchogram was present only in patients who did not experience increased ICP after PEEP augmentation.
Effect of PEEP on respiratory function, ICP and CPP
After PEEP augmentation, Pplat increased (from 21 [19–23] to 29 [28–31] cmH20, p < 0.0001), and PaO2/FiO2 improved (from 182 [172–199] to 206 [196–242], p = 0.049), whereas no effect on PaCO2 and Crs was observed (from 38 [36–40] to 39 [37–41] mmHg, p = 0.341, from 31.3 [28–36] to 35 [32–40] ml/cmH2O, p = 0.200, respectively) (Additional file 1: Figure ESM 1 and Table 3). Invasive ICP and CPP did not significantly change (from 13 [5–16] to 16 [8–18] mmHg, p = 0.280; from 72 [62–79] to 66 [63–72] mmHg, p = 0.364, respectively).
Correlations between the changes of ICP with LUS patterns and respiratory mechanics
ΔICP was correlated with ΔLUStot (rho = 0.631, p = 0.0002) and ΔLUSp (rho = 0.663, p < 0.0001), but not with ΔLUSa and ΔLUSl (rho = 0.179, p = 0.343 and rho = 0.358, p = 0.052, respectively) (Fig. 3). ΔICP was also significantly correlated with ΔCrs (rho = − 0.599, p < 0.0001), ΔPplat (rho = 0.771, p < 0.0001) ΔMAP (rho = − 0.833, p < 0.0001), and ΔPaCO2 (rho = 0.819, p < 0.0001) (Additional file 1: Figure ESM 2, 3). ΔLUStot and ΔLUSd were inversely correlated with ΔCrs (rho = v0.6830; p < 0.0001 and rho = − 0.7557; p < 0.0001, respectively), whereas ΔLUSl and ΔLUSa were not (rho = − 0.2966, p = 0.1115; rho = − 0.2539, p = 0.1758, respectively). Finally, ΔICP was correlated with ΔONSD (rho = 0.411, p = 0.024), but not with ΔICPTCD.
At linear regression analysis, basal LUStot was correlated with the changes in ICP after PEEP increase (regression coefficient B = − 2.378, 95% confidence interval CI from − 2.137 to − 0.413 to, p = 0.044). We did not observe any significant correlation between the basal values (at PEEP = 5 cmH2O) of ICP, ONSD, ICPTCD, Crs, MAP, PaCO2, and the changes of ICP at PEEP 15 cmH2O.
Discussion
In a cohort of mechanically ventilated brain injured patients undergoing a PEEP test from 5 to 15 cmH2O, we found that: (1) the improvement in LUS score occurs mainly in the posterior areas and is correlated with a decrease or no changes of ICP; (2) decreased respiratory system compliance and mean arterial pressure as well as increased PaCO2 are correlated with greater ICP augmentation; (3) basal LUStot can predict ICP increase after PEEP application. In particular, the higher is the basal LUStot, the smaller is the change of ICP after PEEP application.
This is the first study describing the use of LUS in brain injured patients for the definition of lung echographic patterns, and which assesses the effect of PEEP increase on ICP variation.
Little is known about the optimal levels of PEEP to be applied in mechanically ventilated brain injured patients [1]. The use of high PEEP has been previously discouraged in this population [6], as it can potentially increase intrathoracic pressure, reduce jugular veins outflow, and cause hemodynamic instability with consequent detrimental effects on CPP and cerebral blood flow. As impairment of CPP, ICP and cerebral blood flow is associated with poor outcome [5], traditionally, brain injured patients have been often ventilated with zero-positive end expiratory pressure (ZEEP) [6]; more recently, clinical practice has significantly changed, as the application of moderate PEEP has demonstrated to reduce the risk of atelectrauma and therefore ventilator induced lung injury and pulmonary complications [6]. Small physiological studies have also demonstrated that PEEP can be safe even in the neurocritical care population, as long as respiratory system compliance is not impaired (without increases in PaCO2), and hemodynamic stability is maintained [7, 28, 29].
In a recent study, we demonstrated that alveolar recruitment evaluated through qCT was correlated with increased ICP [7]. Although preliminary, these results suggest that PEEP can be safe in acute brain injured patients if it promotes alveolar recruitment, and if it does not affects Crs, or PaCO2. This is also in line with the current recommendations in this population of patients, which suggest to apply the same level of PEEP as for the general ICU population [1]. Although quantitative CT is the gold standard for the evaluation of alveolar recruitment [8], the need for transfer to radiology unit and the exposure to radiations preclude its routine use in all ICU patients, where PEEP titration is often performed, and it is therefore reserved to few specific cases. In contrast, LUS is a bedside, non-invasive, easily available technique which has shown to be able to assess lung morphology with precision in other populations [30, 31]. Compared to qCT, the currently used LUS scores have important limitations in the clinical settings, as they did not demonstrate a strong correlation with alveolar recruitment and they are not able to assess and evaluate areas of hyperinflation [12]. However, when compared to other techniques as pressure–volume curve, or recruitment to inflation ratio in populations of acute respiratory distress syndrome and in COVID-19, a significant correlation between LUS score variations and recruitment has been reported [32, 33].
Our study suggests that LUS can be used as surrogate of qCT to evaluate lung recruitment after PEEP increase and its effect on ICP, and that when PEEP increases lung volume by alveolar recruitment, the increase in plateau pressure is limited. This phenomenon is particularly relevant in the posterior areas of the lung, where we observed the highest percentage of pathologic LUS pattern and in particular lung densities (score 3), potentially able to respond to recruitment. A possible explanation in these cases is that, independently from individual variations in the chest wall compliance, the transmission of airway pressure to the thoracic compartment is reduced, thus minimally affecting increases in ICP. On the other side, if PEEP overinflates aerated lung without alveolar recruitment, Crs decreases, yielding greater increase in Pplat. In this case, the transmission of airway pressure to the thoracic compartment is increased, thus promoting an increase in ICP.
LUS scores in the anterior and the lateral areas of the lung did not importantly change after PEEP application and were not correlated with ICP changes.
This is a new finding, when compared to the available literature on the use of lung ultrasound for PEEP titration, which reports in fact the interest in the loss of aeration of mainly the anterior fields to identify PEEP responders [31]. This can be explained by the fact that previous studies focused on patients with ARDS, where posterior fields are almost constantly affected by a severe or complete loss of aeration. In our population of brain injured patients, posterior fields were on the contrary the most informative to predict the positive response to PEEP, probably because the most frequent causes of loss of aeration are atelectasis and superinfection, especially located in posterior areas in supine position, while anterior fields showed almost constantly a normal aeration.
Moreover, in our population, we observed median lower LUS scores than what reported by previous literature on patients with acute respiratory failure [31]; this suggests that previously proposed cut-off values are likely to be not appropriate in different ICU populations.
In the present study, none of the respiratory and neuromonitoring derived parameters evaluated at baseline PEEP was predictive for ICP increase with PEEP. However, a higher LUS score at baseline was associated with a reduced risk of changes in ICP, thus suggesting that in patients with greater severity of lung injury and pulmonary morphology (with higher incidence of consolidations), PEEP can cause recruitment without causing important effects on cerebral hemodynamics. A signal on the consolidations features is also present, with higher potential for PEEP responsiveness in consolidations with dynamic punctiform air-bronchogram, corresponding to patent airways with airflow during inspiration.
We also found a significant correlation between changes of ONSD and ICP, thus confirming our previous findings [7], and suggesting that ONSD can be used when ICP is not available or not indicated to evaluate ICP fluctuation related to manipulation of intrathoracic pressure [34, 35].
In summary, in this study we demonstrated that LUS can be used as a surrogate of qCT to evaluate the effect of PEEP on ICP and can be used at patient’s bedside to predict the effect of PEEP on ICP. Despite our sample size is limited, this represents a great novelty as LUS can become an important clinical tool for neuro-ICU physicians. By performing serial bedside LUS, they would be able to safely titrate PEEP and assess/predict the effect of PEEP on intracranial pressure, minimizing the risk of intracranial hypertension and secondary brain damage. LUS is a radiation free, non-invasive, safe and easily available tool; however, it can present some limitations compared to qCT (for instance, it cannot identify lung overinflation, it is difficult to use in obese patients, it is an operator-dependent technique) [36, 37].
Limitations
This study has several limitations that need to be mentioned. First, in our ICU, the PEEP test is a routine procedure that is normally performed but only in selected patients with acute brain injured patients, and when the PaO2/FiO2 is < 300 at PEEP of 5 cmH2O. In addition, we included patients with different types of brain damage, thus resulting in a heterogeneous population for both cerebral and respiratory characteristics. Second, although we standardized mechanical ventilator settings, respiratory mechanics evaluation and arterial blood gases measurement during PEEP test, we cannot exclude that different ventilator setting may have led to different results [1, 38]. Third, this study would have benefit from more details and information on cardiac function and hemodynamic monitoring, which would have helped in the understanding of the interplay between lung, heart, and brain after PEEP application. However, this was an observational study, and it is not our routine practice to perform echocardiography or carotid flow assessment during PEEP test. Fourth, although the sample size is greater compared to other similar physiological studies on the effect of PEEP on lung recruitment, the small number of patients in our cohort cannot be used to draw conclusions or to assume consideration and/or strong statements on this topic. Larger studies are needed to confirm our results [28, 39, 40].
Conclusions
LUS, together with the evaluation of respiratory variables, can assist the clinicians in the bedside assessment and prediction of the effect of PEEP on ICP in mechanically ventilated patients with acute brain injury.
Further larger studies are warranted to assess the role of LUS for the titration of PEEP in this cohort of patients, and to create a statistical model with selected independent variables aimed to improve the accuracy of the prediction of ICP response to PEEP.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- ARDS:
-
Acute respiratory distress syndrome
- BMI:
-
Body mass index
- CPP:
-
Cerebral perfusion pressure
- Crs:
-
Respiratory system compliance
- ESM:
-
Electronic Supplementary materials
- FiO2:
-
Inspired fraction of oxygen
- FVd:
-
Diastolic Flow Velocity
- FVm:
-
Mean Flow Velocity
- FVs:
-
Systolic Flow Velocity
- GCS:
-
Glasgow Coma Scale
- GOS:
-
Glasgow Outcome Score
- ICH:
-
Intracranial hemorrhage
- ICP:
-
Intracranial pressure
- ICPTCD :
-
Intracranial pressure measured through Transcranial Doppler
- ICU:
-
Intensive care unit
- IQR:
-
Interquartile range
- LUS:
-
Lung ultrasonography
- LUSa:
-
LUS anterior
- LUSl:
-
LUS lateral
- LUSp:
-
LUS posterior
- MCA:
-
Middle cerebral artery
- ONSD:
-
Optic nerve sheath diameter
- PaCO2 :
-
Arterial partial pressure of carbon dioxide
- PBW:
-
Predicted body weight
- PEEP:
-
Positive end-expiratory pressure
- pHa:
-
Arterial pH
- Pplat:
-
Plateau pressure
- qCT:
-
Quantitative computed tomography
- RR:
-
Respiratory rate
- SAH:
-
Subarachnoid hemorrhage
- SaO2 :
-
Arterial saturation of oxygen
- STROBE:
-
Strengthening the reporting of observational studies in epidemiology
- TBI:
-
Traumatic brain injury
- TCD:
-
Transcranial doppler
- VT:
-
Tidal volume
- ΔLUS:
-
Lung ultrasound variations
References
Robba C, Poole D, McNett M, Asehnoune K, Bösel J, Bruder N, et al. Mechanical ventilation in patients with acute brain injury: recommendations of the European Society of Intensive Care Medicine consensus. Intensive Care Med. 2020;46:2397–410.
Chen H, Chen K, Xu J-Q, Zhang Y-R, Yu R-G, Zhou J-X. Intracranial pressure responsiveness to positive end-expiratory pressure is influenced by chest wall elastance: a physiological study in patients with aneurysmal subarachnoid hemorrhage. BMC Neurol. 2018;18:124.
Nemer SN, Caldeira JB, Azeredo LM, Garcia JM, Silva RT, Prado D, et al. Alveolar recruitment maneuver in patients with subarachnoid hemorrhage and acute respiratory distress syndrome: a comparison of 2 approaches. J Crit Care. 2011;26:22–7.
Borsellino B, Schultz MJ, Gama de Abreu M, Robba C, Bilotta F. Mechanical ventilation in neurocritical care patients: a systematic literature review. Expert Rev Respir Med. 2016;10:1123–32.
Åkerlund CA, Donnelly J, Zeiler FA, Helbok R, Holst A, Cabeleira M, et al. Impact of duration and magnitude of raised intracranial pressure on outcome after severe traumatic brain injury: a CENTER-TBI high-resolution group study. PLoS ONE. 2020;15:e0243427.
Tejerina EE, Pelosi P, Robba C, Peñuelas O, Muriel A, Barrios D, et al. Evolution over time of ventilatory management and outcome of patients with neurologic disease. Crit Care Med. 2021;49:1095–106.
Robba C, Ball L, Nogas S, Battaglini D, Messina A, Brunetti I, et al. Effects of positive end-expiratory pressure on lung recruitment, respiratory mechanics and intracranial pressure in mechanically ventilated brain injured patients. Front Physiol. 2021;12:711273.
Gattinoni L, Collino F, Maiolo G, Rapetti F, Romitti F, Tonetti T, et al. Positive end-expiratory pressure: how to set it at the individual level. Ann Transl Med. 2017;5:288–288.
Mongodi S, Bouhemad B, Orlando A, Stella A, Tavazzi G, Via G, et al. Modified lung ultrasound score for assessing and monitoring pulmonary aeration. Ultraschall der Medizin Eur J Ultrasound. 2017;38:530–7.
Mojoli F, Bouhemad B, Mongodi S, Lichtenstein D. Lung ultrasound for critically Ill patients. Am J Respir Crit Care Med. 2019;199:701–14.
Mongodi S, De Luca D, Colombo A, Stella A, Santangelo E, Corradi F, et al. Quantitative lung ultrasound: technical aspects and clinical applications. Anesthesiology. 2021;134:949–65.
Chiumello D, Mongodi S, Algieri I, Vergani GL, Orlando A, Via G, et al. Assessment of lung aeration and recruitment by CT scan and ultrasound in acute respiratory distress syndrome patients*. Crit Care Med. 2018;46:1761–8.
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Int J Surg. 2014;12:1495–9.
Boone MD, Jinadasa SP, Mueller A, Shaefi S, Kasper EM, Hanafy KA, et al. The effect of positive end-expiratory pressure on intracranial pressure and cerebral hemodynamics. Neurocrit Care. 2017;26:174–81.
Cressoni M, Chiumello D, Algieri I, Brioni M, Chiurazzi C, Colombo A, et al. Opening pressures and atelectrauma in acute respiratory distress syndrome. Intensive Care Med. 2017;43:603–11.
Ball L, Robba C, Maiello L, Herrmann J, Gerard SE, Xin Y, et al. Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19 pneumonia. Crit Care. 2021;25:81.
Gattinoni L, Caironi P, Cressoni M, Chiumello D, Ranieri VM, Quintel M, et al. Lung recruitment in patients with the acute respiratory distress syndrome. N Eng J Med. 2006;354:1775–86.
Buda N, Skoczylas A, Demi M, Wojteczek A, Cylwik J, Soldati G. Clinical impact of vertical artifacts changing with frequency in lung ultrasound. Diagnostics. 2021;11:401.
Smit MR, de Vos J, Pisani L, Hagens LA, Almondo C, Heijnen NFL, et al. Comparison of linear and sector array probe for handheld lung ultrasound in invasively ventilated ICU patients. Ultrasound Med Biol. 2020;46:3249–56.
Soummer A, Perbet S, Brisson H, Arbelot C, Constantin J-M, Lu Q, et al. Ultrasound assessment of lung aeration loss during a successful weaning trial predicts postextubation distress. Crit Care Med. 2012;40:2064–72.
Carney N, Totten AM, O’Reilly C, Ullman JS, Hawryluk GWJ, Bell MJ, et al. Guidelines for the management of severe traumatic brain injury. Neurosurgery. 2017;80:6–15.
Robba C, Cardim D, Tajsic T, Pietersen J, Bulman M, Donnelly J, et al. Ultrasound non-invasive measurement of intracranial pressure in neurointensive care: a prospective observational study. PLOS Med. 2017;14:e1002356.
Cardim D, Robba C, Donnelly J, Bohdanowicz M, Schmidt B, Damian M, et al. Prospective study on noninvasive assessment of intracranial pressure in traumatic brain-injured patients: comparison of four methods. J Neurotrauma. 2016;33:792–802.
Robba C, Bragazzi NL, Bertuccio A, Cardim D, Donnelly J, Sekhon M, et al. Effects of prone position and positive end-expiratory pressure on noninvasive estimators of ICP: a pilot study. J Neurosurg Anesthesiol. 2017;29:243–50.
Robba C, Messina A, Battaglini D, Ball L, Brunetti I, Bassetti M, et al. Early effects of passive leg-raising test, fluid challenge, and norepinephrine on cerebral autoregulation and oxygenation in COVID-19 critically Ill patients. Front Neurol. 2021;12:674466.
Robba C, Ball L, Battaglini D, Cardim D, Moncalvo E, Brunetti I, et al. Early effects of ventilatory rescue therapies on systemic and cerebral oxygenation in mechanically ventilated COVID-19 patients with acute respiratory distress syndrome: a prospective observational study. Crit Care. 2021;25:111.
Rasulo FA, Bertuetti R, Robba C, Lusenti F, Cantoni A, Bernini M, et al. The accuracy of transcranial Doppler in excluding intracranial hypertension following acute brain injury: a multicenter prospective pilot study. Crit Care. 2017;21:44.
Nemer SN, Caldeira JB, Santos RG, Guimarães BL, Garcia JM, Prado D, et al. Effects of positive end-expiratory pressure on brain tissue oxygen pressure of severe traumatic brain injury patients with acute respiratory distress syndrome: a pilot study. J Crit Care. 2015;30:1263–6.
Pelosi P, Ferguson ND, Frutos-Vivar F, Anzueto A, Putensen C, Raymondos K, et al. Management and outcome of mechanically ventilated neurologic patients. Crit Care Med. 2011;39:1482–92.
Pierrakos C, Smit MR, Pisani L, Paulus F, Schultz MJ, Constantin J-M, et al. Lung ultrasound assessment of focal and non-focal lung morphology in patients with acute respiratory distress syndrome. Front Physiol. 2021;12:730857.
Costamagna A, Pivetta E, Goffi A, Steinberg I, Arina P, Mazzeo AT, et al. Clinical performance of lung ultrasound in predicting ARDS morphology. Ann Intensive Care. 2021;11:51.
Bouhemad B, Brisson H, Le-Guen M, Arbelot C, Lu Q, Rouby J-J. Bedside ultrasound assessment of positive end-expiratory pressure–induced lung recruitment. Am J Respir Crit Care Med. 2011;183:341–7.
Stevic N, Chatelain E, Dargent A, Argaud L, Cour M, Guérin C. Lung recruitability evaluated by recruitment-to-inflation ratio and lung ultrasound in COVID-19 acute respiratory distress syndrome. Am J Respir Crit Care Med. 2021;203:1025–7.
Robba C, Santori G, Czosnyka M, Corradi F, Bragazzi N, Padayachy L, et al. Optic nerve sheath diameter measured sonographically as non-invasive estimator of intracranial pressure: a systematic review and meta-analysis. Intensive Care Med. 2018;44:1284–94.
Balakrishnan S, Naik S, Chakrabarti D, Konar S, Sriganesh K. Effect of respiratory physiological changes on optic nerve sheath diameter and cerebral oxygen saturation in patients with acute traumatic brain injury. J Neurosurg Anesthesiol. 2022;34:e52–6.
Bellani G, Rouby J-J, Constantin J-M, Pesenti A. Looking closer at acute respiratory distress syndrome. Curr Opin Crit Care. 2017;23:30–7.
Ball L, Vercesi V, Costantino F, Chandrapatham K, Pelosi P. Lung imaging: how to get better look inside the lung. Ann Transl Med. 2017;5:294–294.
Asehnoune K, Roquilly A, Cinotti R. Respiratory management in patients with severe brain injury. Crit Care. 2018;22:76.
Mauri T, Foti G, Fornari C, Grasselli G, Pinciroli R, Lovisari F, et al. Sigh in patients with acute hypoxemic respiratory failure and acute respiratory distress syndrome: the PROTECTION pilot randomized clinical trial. Chest. 2020;S0012–3692:35138–42.
Mauri T, Eronia N, Turrini C, Battistini M, Grasselli G, Rona R, et al. Bedside assessment of the effects of positive end-expiratory pressure on lung inflation and recruitment by the helium dilution technique and electrical impedance tomography. Intensive Care Med. 2016;42:1576–87.
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CR: conception of the work, data collection, data analysis, data interpretation, drafting the manuscript, critical revision of the manuscript, final approval of the version to be published. LB: data analysis, critical revision of the manuscript, final approval of the version to be published. DB, FI, IB: data interpretation, data collection, critical revision of the manuscript, final approval of the version to be published. GZ, PF, SM, FT, AM: supervision of the work, interpretation, data collection, critical revision of the manuscript, final approval of the version to be published. PP: supervision of the work, interpretation, data collection, critical revision of the manuscript, final approval of the version to be published. All authors read and approved the final manuscript.
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The study was approved by the local ethics review board “Comitato Etico Regione Liguria” (protocol n. CER Liguria: 23/2020), and written consent was obtained from patients’ next of kin, as all patients were unconscious at the time of inclusion according to the local regulations.
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Written consent was obtained from patients’ next of kin, as all patients were unconscious at the time of inclusion according to the local regulations.
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Robba, C., Ball, L., Battaglini, D. et al. 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 (2022). https://doi.org/10.1186/s13054-022-03903-7
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DOI: https://doi.org/10.1186/s13054-022-03903-7