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Erschienen in: Annals of Intensive Care 1/2019

Open Access 01.12.2019 | Research

Electrical impedance tomography during spontaneous breathing trials and after extubation in critically ill patients at high risk for extubation failure: a multicenter observational study

verfasst von: Federico Longhini, Jessica Maugeri, Cristina Andreoni, Chiara Ronco, Andrea Bruni, Eugenio Garofalo, Corrado Pelaia, Camilla Cavicchi, Sergio Pintaudi, Paolo Navalesi

Erschienen in: Annals of Intensive Care | Ausgabe 1/2019

Abstract

Background

This study aims to assess the changes in lung aeration and ventilation during the first spontaneous breathing trial (SBT) and after extubation in a population of patients at risk of extubation failure.

Methods

We included 78 invasively ventilated patients eligible for their first SBT, conducted with low positive end-expiratory pressure (2 cm H2O) for 30 min. We acquired three 5-min electrical impedance tomography (EIT) records at baseline, soon after the beginning (SBT_0) and at the end (SBT_30) of SBT. In the case of SBT failure, ventilation was reinstituted; otherwise, the patient was extubated and two additional records were acquired soon after extubation (SB_0) and 30 min later (SB_30) during spontaneous breathing. Extubation failure was defined by the onset of post-extubation respiratory failure within 48 h after extubation. We computed the changes from baseline of end-expiratory lung impedance (∆EELI), tidal volume (∆Vt%), and the inhomogeneity index. Arterial blood was sampled for gas analysis. Data were compared between sub-groups stratified for SBT and extubation success/failure.

Results

Compared to SBT success (n = 61), SBT failure (n = 17) showed a greater reduction in ∆EELI at SBT_0 (p < 0.001) and SBT_30 (p = 0.001) and a higher inhomogeneity index at baseline (p = 0.002), SBT_0 (p = 0.003) and SBT_30 (p = 0.005). RR/Vt was not different between groups at baseline but was significantly greater at SBT_0 and SBT_30 in SBT failures, compared to SBT successes (p < 0.001 for both). No differences in ∆Vt% and arterial blood gases were observed between SBT success and failure. The ∆Vt%, ∆EELI, inhomogeneity index and arterial blood gases were not different between patients with extubation success (n = 39) and failure (n = 22) (p > 0.05 for all comparisons).

Conclusions

Compared to SBT success, SBT failure was characterized by more lung de-recruitment and inhomogeneity. Whether EIT may be useful to monitor SBT remains to be determined. No significant changes in lung ventilation, aeration or homogeneity related to extubation outcome occurred up to 30 min after extubation.
Trial registration Retrospectively registered on clinicaltrials.gov (Identifier: NCT03894332; release date 27th March 2019).
Begleitmaterial
Additional file 1: Table S1. Criteria considered in the study protocol. Criteria for increased risk for post-extubation respiratory failure, SBT eligibility, SBT failure, post-extubation respiratory failure and reintubation are presented from left to right. Table S2. Receiving Operating Curves of ∆Vt%, ∆EELI, inhomogeneity index, RR/Vt and PaO2/FiO2 for SBT failure prediction. The Youden index, area under the curve (AUC), sensibility, specificity, positive (LR +) and negative (LR −) likelihood ratios are presented for EIT data, RR/Vt and PaO2/FiO2 for SBT failure prediction. Table S3. ABGs and RR/Vt in patients with extubation success and failure. Data are separately presented for patients succeeding and failing extubation. Table S4. Receiving Operating Curves of ∆Vt%, ∆EELI, inhomogeneity index, RR/Vt and PaO2/FiO2 for extubation failure prediction. The Youden index, area under the curve (AUC), sensibility, specificity, positive (LR +) and negative (LR −) likelihood ratios are presented for EIT data, RR/Vt and PaO2/FiO2 for extubation failure prediction. Table S5. EIT data in patients with “rescue” NIV success and failure. EIT parameters are separately presented for patients succeeding and failing rescue CPAP/NIV. Table S6. EIT data in patients with respiratory and non-respiratory reasons of extubation failure. EIT parameters are separately presented for patients with extubation failure secondary to respiratory and non-respiratory causes. Figure S1. Flow diagram of screened and enrolled patients. The flow of patients screened for the study (n = 1555), assessed for eligibility (n = 145), excluded (with the reason of exclusion) (n = 65), enrolled in the study (n = 80), and analyzed (n = 78) is shown.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s13613-019-0565-0) contains supplementary material, which is available to authorized users.

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Abkürzungen
ABGs
arterial blood gases
CPAP
continuous positive airway pressure
∆EELI
changes in milliliters from baseline of the end-expiratory lung impedance
∆Vt%
variation in percentage from baseline of the tidal volume
EELI
end-expiratory lung impedance
EIT
electrical impedance tomography
ESM
electronic supplementary materials
FiO2
inspired fraction of oxygen
ICU
intensive care unit
iMV
invasive mechanical ventilation
NIV
non-invasive ventilation
PaCO2
arterial partial pressure of carbon dioxide
PaO2
arterial partial pressure of oxygen
PEEP
positive end-expiratory pressure
PSV
pressure support ventilation
RR
respiratory rate
SB_0
first 5 min of the spontaneous breathing
SB_30
last 5 min of the spontaneous breathing
SBT_0
first 5 min after SBT initiation
SBT_30
last 5 min of the SBT
SBT
spontaneous breathing trial
SpO2
peripheral oxygen saturation
Vt
tidal volume

Background

Weaning is the whole process that leads patients to the discontinuation of mechanical ventilation and the removal of the endotracheal tube [1]. Weaning should be considered as early as possible to reduce the time spent on invasive mechanical ventilation (iMV), which is associated with morbidity and mortality [2, 3]. To assess whether patients are eligible for extubation, a spontaneous breathing trial (SBT) is often performed. The outcome of SBT is evaluated by clinical assessment and acquisition of objective parameters, such as the arterial blood gases (ABGs) and the respiratory rate (RR) to tidal volume (Vt) ratio (RR/Vt) [1]. In the case of SBT success, the patient can be extubated. However, post-extubation respiratory failure may occur, in particular in patients at increased risk [1], who may benefit from prophylactic non-invasive ventilation (NIV) application immediately after extubation [49].
Electrical impedance tomography (EIT) is a non-invasive imaging technique that provides instantaneous monitoring of variations in overall lung volume and regional distribution of ventilation, as determined by variations over time in intrathoracic impedance, which is increased by air and reduced by fluids and cells. EIT allows for determining changes in end-expiratory lung impedance (EELI), a surrogate estimate of end-expiratory lung volume, assessing global and regional distribution of Vt, and obtaining indexes of the spatial distribution of ventilation, such as the global inhomogeneity index [10].
Because SBT failure and extubation failure are both major clinical problems, they have been repeatedly investigated, but the underlying mechanisms are not fully elucidated yet [1]. We reasoned that EIT could help comprehend the pathophysiology of SBT failure and extubation failure by providing additional insights. We, therefore, designed this observational study on patients at high risk of extubation failure, aimed at assessing variations in EELI (∆EELI) and Vt (∆Vt%), and the inhomogeneity index during SBT and after extubation.

Methods

The study was conducted from June 2015 to June 2016 in the intensive care units (ICUs) of three Italian hospitals (“Sant’Andrea” Hospital in Vercelli, “ARNAS Garibaldi” Hospital in Catania and “Infermi” Hospital in Rimini), in accordance with the principles outlined in the Declaration of Helsinki, after approval by the local Ethics Committees (Vercelli, protocol no AslVC.Rian.14.02, approved on 11/09/2014; Catania, protocol no 479/CE, approved on 30/06/2015; Rimini, protocol no 1313, approved on 18/03/2015). Written informed consent was obtained from all patients according to national regulations.

Patients

We included any ICU patient ≥ 18 years who (1) had received iMV for at least 48 h through an orotracheal tube, (2) was ready for the first SBT attempt [1] and (3) met at least one criterion for increased risk of extubation failure, as outlined in the first column of Additional file 1: Table S1 [49, 11]. Patients were considered to be ready for SBT if they satisfied all of the criteria reported in the second column of Additional file 1: Table S1 [1, 4, 12]. Patients were excluded if they met one or more of the following criteria: (1) life-threatening heart arrhythmias or cardiac ischaemia, (2) pneumothorax, (3) pulmonary emphysema, (4) recent (1 week) thoracic surgery, (5) presence of chest burns, (6) pregnancy, (7) inclusion in other research protocols, (8) refusal of consent.
Inclusion and exclusion criteria were assessed daily in all patients.

Weaning protocol

Once able to trigger the ventilator, patients were ventilated with pressure support ventilation (PSV). Inspired fraction of oxygen (FiO2) and positive end-expiratory pressure (PEEP) were set to maintain peripheral oxygen saturation (SpO2) between 92 and 96%, while the inspiratory pressure support was titrated to generate a Vt of 6–8 ml/kg of ideal body weight with an active inspiration [13]. The SBT was conducted by setting the ventilator with 2 cm H2O in continuous positive airway pressure (CPAP) mode, with no inspiratory support for 30 min [12, 14]. SBT failure was defined by the presence of at least one of the criteria listed in the third column of Additional file 1: Table S1 [1, 15]. Patients who passed the SBT were immediately extubated and allowed to breathe spontaneously with a Venturi mask, while those who failed SBT were switched back to PSV with the same settings applied prior to SBT.
Predefined criteria for protocol interruption were the following: (1) haemodynamic instability (i.e., need for continuous infusion of dopamine or dobutamine > 5 mcg/kg/min, norepinephrine > 0.1 mcg/kg/min, or vasopressin to maintain mean arterial blood pressure > 60 mmHg), (2) life-threatening arrhythmias or electrocardiographic signs of ischemia, or (3) worsening of ABGs (i.e., onset of respiratory acidosis, as defined by arterial partial pressure of carbon dioxide (PaCO2) > 50 mmHg and pH < 7.30, or hypoxemia, as defined by arterial partial pressure of oxygen (PaO2) < 60 mmHg with a FiO2 ≥ 50%).

Data acquisition and analysis

After enrolment, a silicon 16-electrode EIT belt of proper size was placed around the patient’s chest between the 4th and 6th intercostal spaces and connected to the EIT device (PulmoVista 500; Draeger Medical GmbH, Lübeck, Germany) [16, 17]. Signal quality was determined through dedicated built-in software. The position of EIT belt was, therefore, marked on the skin with a dermographic pencil to avoid its displacement during the study period. PSV was applied with a ventilator (Infinity V500; Draeger Medical GmbH, Lübeck, Germany) connected to the EIT device through a RS232 interface.
We acquired 5-min EIT data records at baseline (during PSV), during the first (SBT_0) and the last (SBT_30) 5 min of SBT, and when the patient was extubated during spontaneous breathing immediately (SB_0) and 30 min (SB_30) after extubation.
EIT and ventilator (i.e., airway pressure, flow and volume) data were recorded at a sample of 20 Hz, downloaded and analysed off-line on a personal computer using dedicated software (EITdiag, Draeger Medical GmbH, Lübeck, Germany). Impedance changes were calibrated against the data acquired from the ventilator by the EIT device as previously described [18]. The last 3 min of each record were analysed.
From the EIT recordings, we measured Vt, respiratory rate (RR), air distribution within the lungs, and end-expiratory lung impedance (EELI), i.e., a surrogate of the end-expiratory lung volume [19]. From EIT, we also calculated (1) Vt changes from baseline, expressed as a percentage (∆Vt%), as assessed by the EIT, (2) EELI variation (∆EELI) from baseline, expressed in ml, (3) the inhomogeneity index, which describes uneven air distribution within the lung [20], and (4) the RR/Vt at baseline, SBT_0, SBT_30, SB_0 and SB_30 [15], as derived from EIT measurements.
The inhomogeneity index was computed as follows:
$${\text{GI = }}\frac{{\sum\nolimits_{{{\text{x,y}}\,{\text{lung}}}} {\left[ {{\text{DI}}_{\text{xy}} - {\text{Median}}\left( {{\text{DI}}_{\text{lung}} } \right)} \right]} }}{{\sum\nolimits_{{{\text{x,y}}\,{\text{lung}}}} {{\text{DI}}_{\text{xy}} } }}$$
where DI is the differential impedance, DIxy refers to the DI of pixels in a defined lung region and DIlung represents the DI of the whole lung [20].
ABGs were obtained at baseline, SBT_30 and SB_30.
Extubation failure was defined by the occurrence of post-extubation respiratory failure, as characterized by one or more of the criteria outlined in the fourth column of Additional file 1: Table S1, in the 48 h following extubation [1, 21]. Patients who failed extubation underwent ‘‘rescue’’ CPAP by means of a high-flow (> 45 l/min) generator (Flow-Meter, StarMed, Mirandola, Modena, Italy) in the case of normocapnic hypoxemia (i.e., PaO2/FiO2 < 200 mmHg), or NIV, as delivered through NIV modality, in the case of respiratory acidosis (pH < 7.35 and PaCO2 > 50 mmHg). Patients were re-intubated and iMV reinstituted if one or more of the criteria displayed in the fifth column of Additional file 1: Table S1 occurred [21].

Statistical analysis

Due to the lack of published data at the time of the study design, no power analysis could be performed. Therefore, we arbitrarily planned to enrol a sample of 80 consecutive patients. Because of the lack of normal distribution of data, as assessed by the Shapiro–Wilk test, the data were expressed as the median [25th–75th interquartile range]. Data were compared between subgroups of patients (i.e., SBT success versus failure; extubation success versus failure) using the Mann–Whitney U-test. Thresholds for statistical significance were adjusted with Bonferroni correction for multiple comparisons. Categorical data were compared by Fisher’s exact test; for this comparison, a two-sided p < 0.05 was considered significant.
Receiving operating curves (ROC) were obtained for RR/Vt and PaO2/FiO2 and EIT data. Cut-off values were obtained calculating the Youden index. The area under the curve (AUC), sensitivity, specificity, positive (LR +) and negative (LR −) likelihood ratios were also calculated.

Results

We enrolled 80 consecutive patients, as planned. Two patients, erroneously enrolled with no risk criteria for post-extubation respiratory failure, were excluded from the data analysis. The patients’ flow of study enrolment is shown in Additional file 1: Figure S1, while the protocol flow is depicted in Fig. 1. None of the patients interrupted the study protocol. Table 1 shows the patients’ characteristics at ICU admission and immediately before SBT, and the reasons for ICU admission and risk factors for post-extubation respiratory failure, for the overall population and separately for the SBT and extubation success and failure subgroups.
Table 1
Patient’s characteristics at ICU admission, risk factors for post-extubation respiratory failure, the reason for ICU admission and characteristics before SBT performance in the overall population and subgroups
 
Overall
SBT success
(n = 61)
SBT failure
(n = 17)
p value
Extubation success (n = 39)
Extubation failure (n = 22)
p value
Characteristics at ICU admission
 Weight (kg)
75 [65; 83]
75 [65; 81]
75 [68; 95]
0.458
70 [62; 80]
80 [70; 86]
0.128
 Height (cm)
170 [165; 173]
170 [165; 175]
170 [163; 170]
0.286
170 [165; 175]
170 [160; 172]
0.203
 SAPS-II
52 [37; 67]
50 [34; 66]
59 [41; 68]
0.188
44 [31; 55]
63 [48; 83]
< 0.001
 SOFA
6 [4; 9]
6 [4; 9]
4 [3; 7]
0.049
6 [4; 9]
7 [4; 10]
0.790
Risk factors for post-extubation respiratory failure
 PaCO2 > 45 mmHg at SBT n (%)
30 (38)
22 (36)
8 (47)
0.416
12 (31)
10 (45)
0.279
 Chronic respiratory disease n (%)
17 (22)
12 (20)
5 (29)
0.510
7 (18)
5 (23)
0.741
 Chronic heart failure n (%)
17 (22)
12 (20)
5 (29)
0.510
9 (23)
3 (14)
0.510
 Upper airway stridor n (%)
2 (3)
2 (3)
0 (0)
> 0.999
2 (5)
0 (0)
0.531
 Age ≥ 65 years n (%)
48 (62)
38 (62)
10 (59)
0.786
24 (62)
14 (64)
> 0.999
 Cardiac failure as reason of iMV n (%)
10 (13)
8 (13)
2 (12)
> 0.999
6 (15)
2 (9)
0.699
 APACHE-II score > 12 at extubation n (%)
29 (37)
24 (39)
5 (29)
0.575
14 (36)
10 (45)
0.587
 ARF requiring > 72 h of iMV n (%)
44 (56)
30 (49)
14 (82)
0.025
19 (49)
11 (48)
> 0.999
 BMI > 35 kg/m2 n (%)
11 (14)
5 (8)
6 (35)
0.011
3 (8)
2 (9)
> 0.999
 Neuromuscular disease n (%)
9 (12)
4 (7)
5 (29)
0.020
3 (8)
1 (5)
> 0.999
Reason for ICU admission
 Acute heart failure n (%)
10 (13)
6 (10)
4 (23)
0.212
0 (0)
6 (27)
0.013
 Acute on Chronic respiratory failure n (%)
17 (22)
12 (20)
5 (29)
0.507
7 (18)
5 (23)
0.742
 Sepsis/septic shock n (%)
21 (27)
20 (33)
1 (6)
0.031
14 (36)
6 (27)
0.577
 Trauma n (%)
10 (13)
7 (11)
3 (18)
0.682
7 (18)
0 (0)
0.042
 Pneumonia n (%)
20
16 (26)
4 (24)
> 0.999
11 (28)
5 (23)
0.766
Characteristics before the SBT
 PEEP (cmH2O)
5.0 [5.0; 5.1]
5.0 [5.0; 5.1]
5.0 [5.0; 5.0]
0.168
5.0 [5.0; 5.1]
5.0 [5.0; 5.1]
0.953
 Inspiratory support (cmH2O)
10 [8; 11]
10 [8; 10]
10 [9; 11]
0.531
9 [8; 11]
10 [10; 10]
0.118
 pH
7.44 [7.41; 7.47]
7.44 [7.40; 7.48]
7.46 [7.42; 7.48]
0.546
7.45 [7.41; 7.48]
7.42 [7.40; 7.45]
0.397
 PaCO2 (mmHg)
39.3 [36.3; 45.0]
39.3 [36.0; 45.0]
39.5 [38.2; 44.4]
0.392
38.5 [34.0; 44.3]
39.3 [38.0; 47.3]
0.176
 PaO2/FiO2 (mmHg)
268 [230; 310]
274 [241; 306]
248 [205; 324]
0.347
274 [243; 303]
270 [226; 313]
0.932
SBT: Spontaneous breathing trial; ICU: intensive care unit; SAPS-II: simplified acute physiology score II; SOFA: sequential organ failure assessment; PaCO2: arterial partial pressure of carbon dioxide; iMV: invasive mechanical ventilation; APACHE-II: acute physiology and chronic health evaluation II; ARF: acute respiratory failure; BMI: body mass index; PEEP: positive-end expiratory pressure; PaO2/FiO2: ratio between arterial partial pressure and inspired fraction of oxygen

SBT success and failure

Seventeen patients (21.8%) failed SBT and were returned to iMV. At baseline, PEEP values were similar between groups (5.0 [4.9; 5.1] cm H2O and 5.0 [5.0; 5.0] cm H2O for SBT success and failure, respectively; p = 0.168). Table 2 reports ABGs and RR/Vt separately for SBT success and failure. ABGs were not significantly different between groups at both baseline and SBT_30. RR/Vt was also not different between the groups at baseline but was significantly greater at SBT_0 and SBT_30 in SBT failures compared to SBT success (p < 0.001 for both).
Table 2
Arterial blood gases and the rapid shallow breathing index (RR/Vt) in patients with SBT success and failure
 
SBT success (n = 61)
SBT failure (n = 17)
Baseline
SBT_0
SBT_30
Baseline
SBT_0
SBT_30
SBT success
vs. failure
pH
7.44 [7.40; 7.48]
//
7.43 [7.39; 7.47]
7.46 [7.42; 7.48]
//
7.41 [7.38; 7.48]
p = 0.546 a
p = 0.762 c
PaCO2 (mmHg)
39.3 [36.0; 45.0]
//
40.0 [35.2; 46.0]
39.5 [38.2; 44.4]
//
41.0 [38.3; 53.5]
p = 0.392 a
p = 0.194 c
PaO2/FiO2 (mmHg)
274 [241; 306]
//
253 [221; 291]
248 [205; 324]
//
188 [156; 237]
p = 0.347 a
p = 0.034 c
RR/Vt (breaths/min/L)
35 [25; 57]
57 [38; 84]
60 [33; 92]
46 [26; 64]
102 [70; 135]
103 [75; 127]
p = 0.389 a
p < 0.001 b
p < 0.001 c
SBT, Spontaneous Breathing Trial; SBT_0, first 5 min after the beginning of the SBT; SBT_30, last 5 min of the SBT; PaCO2, arterial partial pressure of carbon dioxide; PaO2/FiO2, arterial partial pressure to inspired fraction of oxygen ratio; RR/Vt, respiratory rate to tidal volume ration
//Data not present
aComparison between groups within baseline
bComparison between groups within SBT_0
cComparison between groups within SBT_30. According to Bonferroni correction, the threshold for statistical significance is p < 0.025 for pH, PaCO2 and PaO2/FiO2, while p < 0.017 for RR/Vt
Examples of EIT images from three representative patients, two succeeding (panels A and C) and one failing (panel B) SBT, are depicted in Fig. 2; ∆EELI and the inhomogeneity index are shown at baseline, SBT_0 and SBT_30 (see figure legend for detailed information). Table 3 displays the values of ∆Vt%, ∆EELI and inhomogeneity index in SBT success and failure, respectively. The ∆Vt% was no different at baseline (p > 0.999), SBT_0 (p = 0.079) and SBT_30 (p = 0.054). Compared to SBT successes, SBT failures showed a greater reduction in ∆EELI at SBT_0 (p < 0.001) and SBT_30 (p = 0.001), and a higher inhomogeneity index at baseline (p = 0.002), SBT_0 (p = 0.003) and SBT_30 (p = 0.005).
Table 3
EIT data in patients with SBT success and failure
 
SBT success (n = 61)
SBT failure (n = 17)
Success vs. failure
Baseline
SBT_0
SBT_30
Baseline
SBT_0
SBT_30
∆Vt%
0 [0; 0]
− 16.4 [− 37.0; − 2.5]
− 12.9 [− 35.0; 5.0]
0 [0; 0]
− 27.6 [− 51.0; − 16.0]
− 22.9 [− 50.6; − 13.3]
p > 0.999 a
p = 0.079 b
p = 0.054 c
∆EELI (ml)
0 [0; 0]
− 117 [− 240; 21]
− 103 [− 292; 62]
0 [0; 0]
− 456 [− 934; − 162]
− 333 [− 1375; − 157]
p > 0.999 a
p < 0.001 b
p = 0.001 c
Inhomogeneity index
51 [44; 61]
56 [48; 71]
57 [46; 70]
65 [54; 87]
89 [61; 105]
90 [62; 101]
p = 0.002 a
p = 0.003 b
p = 0.005 c
SBT: Spontaneous Breathing Trial; SBT_0: first 5 min after the beginning of the SBT; SBT_30: last 5 min of the SBT; ∆Vt%: change from baseline of the tidal volume in percentage; ∆EELI: change from baseline of the end-expiratory lung impedance
aComparison between groups within baseline
bComparison between groups within SBT_0
cComparison between groups within SBT_30. According to Bonferroni correction, the threshold for statistical significance is p < 0.017
The AUC, sensitivity, specificity, LR + and LR − of ∆Vt%, ∆EELI, inhomogeneity index, RR/Vt and PaO2/FiO2 for SBT failure prediction are shown in Additional file 1: Table S2.

Extubation success and failure

Twenty-two of 61 (36.1%) patients extubated after SBT success met criteria for extubation failure: 15 for ABG worsening and respiratory distress and 7 for non-respiratory reasons (5 for neurological deterioration, one for inability to remove secretions and one for haemodynamic instability). Eleven patients were successfully treated by CPAP or NIV, while 11 required endotracheal intubation, 3 immediately and 8 after an unsuccessful attempt of CPAP or NIV.
As shown in Additional file 1: Table S3, there were no differences between extubation success and failure in pH (p = 0.397 at baseline; p = 0.453 at SBT_30; p = 0.179 at SB_30), PaCO2 (p = 0.176 at baseline; p = 0.467 at SBT_30; p = 0.757 at SB_30) and PaO2/FiO2 (p = 0.932 at baseline; p = 0.636 at SBT_30; p = 0.139 at SB_30). RR/VT was also not different among trials (p = 0.712 at baseline; p = 0.704 at SBT_0; p = 0.597 at SBT_30; p = 0.059 at SB_0; p = 0.185 at SB_30).
Table 4 reports the ∆Vt%, ∆EELI and inhomogeneity index for extubation success and failure. No differences were observed for any of these variables between extubation success and failure.
Table 4
EIT data in patients with extubation success and failure
 
Baseline
SBT_0
SBT_30
SB_0
SB_30
∆Vt%
 Extubation success (n = 39)
0 [0; 0]
− 12 [− 31; 0]
− 9 [− 29; 7]
− 3 [− 16; 18]
− 12 [− 34; 19]
 Extubation failure (n = 22)
0 [0; 0]
− 25 [− 42; − 10]
− 29 [− 45; − 11]
− 21 [− 39; 1]
− 22 [− 46; − 11]
 Extubation success vs. failure
p > 0.999
p = 0.117
p = 0.024
p = 0.014
p = 0.061
∆EELI (ml)
 Extubation success (n = 39)
0 [0; 0]
− 125 [− 237; 23]
− 78 [− 250; 115]
− 187 [− 488; 82]
− 60 [− 371; 256]
 Extubation failure (n = 22)
0 [0; 0]
− 112 [− 316; 17]
− 194 [− 335; − 59]
− 236 [− 438; 139]
− 290 [− 537; 152]
 Extubation success vs. failure
p > 0.999
p = 0.671
p = 0.253
p > 0.999
p = 0.132
Inhomogeneity index
 Extubation success (n = 39)
46 [42; 63]
53 [44; 68]
56 [44; 70]
52 [45; 66]
53 [45; 69]
 Extubation failure (n = 22)
53 [48; 60]
65 [55; 80]
62 [54; 71]
64 [50; 79]
66 [55; 74]
 Extubation success vs. failure
p = 0.166
p = 0.025
p = 0.132
p = 0.049
p = 0.029
SBT: Spontaneous Breathing Trial; SBT_0: first 5 min after the beginning of the SBT; SBT_30: last 5 min of the SBT; SB_0: first 5 min of the spontaneous breathing; SB_30: last 5 min of the spontaneous breathing; ∆Vt%: change from baseline of the tidal volume in percentage; ∆EELI: change from baseline of the end-expiratory lung impedance
According to Bonferroni correction, the threshold for statistical significance is p < 0.017
The AUC, sensitivity, specificity, LR + and LR − of ∆Vt%, ∆EELI, inhomogeneity index, RR/Vt and PaO2/FiO2 for extubation failure prediction are shown in Additional file 1: Table S4. In addition, as reported in Additional file 1: Tables S5 and S6, we found no difference in any EIT parameters between patients succeeding and failing NIV and between patients with post-extubation respiratory failure due to respiratory and non-respiratory causes.

Discussion

In this physiological study aimed at describing, in a general population of critically ill patients at the first SBT attempt, changes in lung aeration, ventilation distribution and inhomogeneity occurring during the weaning process, we found the following: (1) compared to SBT success, SBT failure is characterized by more lung de-recruitment, as suggested by the higher loss in ∆EELI and by the concomitant PaO2/FiO2 worsening, and greater lung inhomogeneity, as indicated by higher inhomogeneity index value; and (2) no EIT variables were significantly different between patients succeeding and failing extubation.
All patients considered ready-to-wean were considered eligible for inclusion in this study, and we did not focus only on patients with prolonged weaning, who represent only approximately 15% of the overall ICU population [1]. We found an SBT failure rate of 21% which was not different from those previously reported [2224], while in keeping with Ferrer et al. [6], the rate of extubation failure in our population at high risk of post-extubation respiratory failure amounted to 35%. Finally, consistent with recently published data in patients recovering from hypoxemic acute respiratory failure [25], 50% of all patients experiencing post-extubation respiratory failure required reintubation, 42% of whom after failing CPAP or NIV.
The application of EIT during weaning has been recently reported only in small populations of patients characterized by prolonged weaning or prolonged mechanical ventilation [2628]. These studies report that, compared to patients undergoing a successful SBT, patients experiencing SBT failure are characterized by greater loss of EELI at the end of the SBT. While confirming this finding in a less selected patient population, we find that the loss of EELI occurs after only 5 min.
In the present study, the inhomogeneity index appears to be greater in SBT failure, as opposed to SBT success, which is also consistent with previously published data. In patients who had received prolonged iMV, Zhao et al. [27] also found that weaning was more likely to be successful when the ventilation distribution was more homogeneous at decreasing support levels. In 31 patients with prolonged weaning, Bickenbach et al. [26] found the inhomogeneity index to be greater in SBT failures, as opposed to successes. In our study, the inhomogeneity index was also significantly higher at baseline, while RR/Vt showed significant differences only in the course of SBT. In addition, after 5 min of SBT, we observed a remarkable increase in the inhomogeneity index, without important changes at SBT completion.
We also investigated potential variations in EIT parameters related to the outcome of extubation but found no differences in any of the EIT parameters considered between patients who succeeded and failed extubation. This finding may suggest, on the one hand, that the process leading to failure takes more than the 30-min period we observed in the present study, while on the other hand, that factors other than alterations of ventilation and homogeneity intervene in the pathophysiology of post-extubation respiratory failure. Indeed, in 7 patients (32%), the primary causes of extubation were either unmanageable secretions or haemodynamic instability or neurologic deterioration. In addition, we failed to observe differences in any EIT parameters between patients who succeeded and failed NIV as rescue treatment of overt post-extubation respiratory failure.
Our study has some points of strength. First, in contrast to previous investigations [2628], this is a multicentre study. Second, to reduce the risk of bias, the data analysis was performed in only one centre by a single investigator unaware of SBT and extubation outcomes. Third, we were extremely careful in maintaining the position of the EIT belt throughout the study period by marking the skin with a dermographic pencil, to prevent the risk of belt displacement, which is a well-known source of bias [10].
Our study also includes some limitations. We did not calculate the sample size because of the lack of published data at the time this study was designed and initiated. We did not register the trial prior to patient enrolment because the registration was not mandatory for observational studies when the study was initiated. We did not record the amount of fluids administered in the course of the study protocol. Fluid overload alters the measurement of EELI, mimicking a reduction in end-expiratory lung volume. One study in pigs showed that a rapid infusion (33 ml/kg/h) of fluids caused a significant reduction in overall relative impedance [29]. In another animal study, after a rapid (approximately 6 min) infusion of 500 ml of crystalloids the authors observed a decrease in EELI, corresponding to a mean virtual reduction in end-expiratory lung volume of 227 ml [30]. Conversely, a sudden increase in urine output up to 1200 ml consequent to a bolus of diuretics [31] or a loss of volume during haemodialysis [32] may determine EELI to increase. It should be noted, however, that a stable cardiovascular condition was a prerequisite for SBT eligibility in our study, which makes it highly unlikely that our patients received rapid liquid infusion or removal. In addition, none of the patients enrolled required haemodialysis or continuous veno-venous haemofiltration.

Conclusions

SBT failure is overall characterized early in the course of SBT by a greater reduction in EELI reflecting a fall in end-expiratory lung volume and more inhomogeneity of ventilation distribution, as opposed to patients succeeding SBT, but our data do not identify clear-cut thresholds. Whether EIT may be a useful adjunctive tool to monitor SBT remains to be determined by specifically designed clinical studies. No significant changes in lung aeration, ventilation distribution or homogeneity related to extubation outcome occurs up to 30 min after extubation.

Acknowledgements

None.
The study was approved by the local Ethics Committees (Vercelli, protocol no AslVC.Rian.14.02, approved on 11/09/2014; Catania, protocol no 479/CE, approved on 30/06/2015; Rimini, protocol no 1313, approved on 18/03/2015). Written informed consent was obtained from each participant before inclusion in the study, according to the local regulations and principles outlined in the Helsinki Declaration.
All patients gave consent for data publication according to national regulations. All authors read the final manuscript and approved the submitted version.

Competing interests

Dr. Navalesi’s research laboratory has received equipment and grants from Maquet Critical Care, Draeger and Intersurgical S.p.A. He also received honoraria/speaking fees from Maquet Critical Care, Orionpharma, Philips, Resmed, MSD and Novartis. Dr. Navalesi contributed to the development of the helmet Next, whose licence for patent belongs to Intersurgical S.P.A., and receives royalties for that invention. Dr. Longhini and Dr. Navalesi contributed to the development of a new device not discussed in the present study whose patent is in progress (European Patent application number EP20170199831). The remaining authors have disclosed that they do not have any Competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Anhänge

Additional file

Additional file 1: Table S1. Criteria considered in the study protocol. Criteria for increased risk for post-extubation respiratory failure, SBT eligibility, SBT failure, post-extubation respiratory failure and reintubation are presented from left to right. Table S2. Receiving Operating Curves of ∆Vt%, ∆EELI, inhomogeneity index, RR/Vt and PaO2/FiO2 for SBT failure prediction. The Youden index, area under the curve (AUC), sensibility, specificity, positive (LR +) and negative (LR −) likelihood ratios are presented for EIT data, RR/Vt and PaO2/FiO2 for SBT failure prediction. Table S3. ABGs and RR/Vt in patients with extubation success and failure. Data are separately presented for patients succeeding and failing extubation. Table S4. Receiving Operating Curves of ∆Vt%, ∆EELI, inhomogeneity index, RR/Vt and PaO2/FiO2 for extubation failure prediction. The Youden index, area under the curve (AUC), sensibility, specificity, positive (LR +) and negative (LR −) likelihood ratios are presented for EIT data, RR/Vt and PaO2/FiO2 for extubation failure prediction. Table S5. EIT data in patients with “rescue” NIV success and failure. EIT parameters are separately presented for patients succeeding and failing rescue CPAP/NIV. Table S6. EIT data in patients with respiratory and non-respiratory reasons of extubation failure. EIT parameters are separately presented for patients with extubation failure secondary to respiratory and non-respiratory causes. Figure S1. Flow diagram of screened and enrolled patients. The flow of patients screened for the study (n = 1555), assessed for eligibility (n = 145), excluded (with the reason of exclusion) (n = 65), enrolled in the study (n = 80), and analyzed (n = 78) is shown.
Literatur
1.
Zurück zum Zitat Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, et al. Weaning from mechanical ventilation. Eur Respir J. 2007;29(5):1033–56.CrossRef Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, et al. Weaning from mechanical ventilation. Eur Respir J. 2007;29(5):1033–56.CrossRef
2.
Zurück zum Zitat Ely EW, Baker AM, Dunagan DP, Burke HL, Smith AC, Kelly PT, et al. Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously. N Engl J Med. 1996;335(25):1864–9.CrossRef Ely EW, Baker AM, Dunagan DP, Burke HL, Smith AC, Kelly PT, et al. Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously. N Engl J Med. 1996;335(25):1864–9.CrossRef
3.
Zurück zum Zitat Esteban A, Anzueto A, Frutos F, Alia I, Brochard L, Stewart TE, et al. Characteristics and outcomes in adult patients receiving mechanical ventilation: a 28-day international study. JAMA. 2002;287(3):345–55.CrossRef Esteban A, Anzueto A, Frutos F, Alia I, Brochard L, Stewart TE, et al. Characteristics and outcomes in adult patients receiving mechanical ventilation: a 28-day international study. JAMA. 2002;287(3):345–55.CrossRef
4.
Zurück zum Zitat Nava S, Gregoretti C, Fanfulla F, Squadrone E, Grassi M, Carlucci A, et al. Noninvasive ventilation to prevent respiratory failure after extubation in high-risk patients. Crit Care Med. 2005;33(11):2465–70.CrossRef Nava S, Gregoretti C, Fanfulla F, Squadrone E, Grassi M, Carlucci A, et al. Noninvasive ventilation to prevent respiratory failure after extubation in high-risk patients. Crit Care Med. 2005;33(11):2465–70.CrossRef
5.
Zurück zum Zitat Ferrer M, Sellares J, Valencia M, Carrillo A, Gonzalez G, Badia JR, et al. Non-invasive ventilation after extubation in hypercapnic patients with chronic respiratory disorders: randomised controlled trial. Lancet. 2009;374(9695):1082–8.CrossRef Ferrer M, Sellares J, Valencia M, Carrillo A, Gonzalez G, Badia JR, et al. Non-invasive ventilation after extubation in hypercapnic patients with chronic respiratory disorders: randomised controlled trial. Lancet. 2009;374(9695):1082–8.CrossRef
6.
Zurück zum Zitat Ferrer M, Valencia M, Nicolas JM, Bernadich O, Badia JR, Torres A. Early noninvasive ventilation averts extubation failure in patients at risk: a randomized trial. Am J Respir Crit Care Med. 2006;173(2):164–70.CrossRef Ferrer M, Valencia M, Nicolas JM, Bernadich O, Badia JR, Torres A. Early noninvasive ventilation averts extubation failure in patients at risk: a randomized trial. Am J Respir Crit Care Med. 2006;173(2):164–70.CrossRef
7.
Zurück zum Zitat El-Solh AA, Aquilina A, Pineda L, Dhanvantri V, Grant B, Bouquin P. Noninvasive ventilation for prevention of post-extubation respiratory failure in obese patients. Eur Respir J. 2006;28(3):588–95.CrossRef El-Solh AA, Aquilina A, Pineda L, Dhanvantri V, Grant B, Bouquin P. Noninvasive ventilation for prevention of post-extubation respiratory failure in obese patients. Eur Respir J. 2006;28(3):588–95.CrossRef
8.
Zurück zum Zitat Vianello A, Arcaro G, Braccioni F, Gallan F, Marchi MR, Chizio S, et al. Prevention of extubation failure in high-risk patients with neuromuscular disease. J Crit Care. 2011;26(5):517–24.CrossRef Vianello A, Arcaro G, Braccioni F, Gallan F, Marchi MR, Chizio S, et al. Prevention of extubation failure in high-risk patients with neuromuscular disease. J Crit Care. 2011;26(5):517–24.CrossRef
9.
Zurück zum Zitat Ornico SR, Lobo SM, Sanches HS, Deberaldini M, Tofoli LT, Vidal AM, et al. Noninvasive ventilation immediately after extubation improves weaning outcome after acute respiratory failure: a randomized controlled trial. Crit Care. 2013;17(2):R39.CrossRef Ornico SR, Lobo SM, Sanches HS, Deberaldini M, Tofoli LT, Vidal AM, et al. Noninvasive ventilation immediately after extubation improves weaning outcome after acute respiratory failure: a randomized controlled trial. Crit Care. 2013;17(2):R39.CrossRef
10.
Zurück zum Zitat Lobo B, Hermosa C, Abella A, Gordo F. Electrical impedance tomography. Ann Transl Med. 2018;6(2):26.CrossRef Lobo B, Hermosa C, Abella A, Gordo F. Electrical impedance tomography. Ann Transl Med. 2018;6(2):26.CrossRef
11.
Zurück zum Zitat Longhini F, Pan C, Xie J, Cammarota G, Bruni A, Garofalo E, et al. New setting of neurally adjusted ventilatory assist for noninvasive ventilation by facial mask: a physiologic study. Crit Care. 2017;21(1):170.CrossRef Longhini F, Pan C, Xie J, Cammarota G, Bruni A, Garofalo E, et al. New setting of neurally adjusted ventilatory assist for noninvasive ventilation by facial mask: a physiologic study. Crit Care. 2017;21(1):170.CrossRef
12.
Zurück zum Zitat Navalesi P, Frigerio P, Moretti MP, Sommariva M, Vesconi S, Baiardi P, et al. Rate of reintubation in mechanically ventilated neurosurgical and neurologic patients: evaluation of a systematic approach to weaning and extubation. Crit Care Med. 2008;36(11):2986–92.CrossRef Navalesi P, Frigerio P, Moretti MP, Sommariva M, Vesconi S, Baiardi P, et al. Rate of reintubation in mechanically ventilated neurosurgical and neurologic patients: evaluation of a systematic approach to weaning and extubation. Crit Care Med. 2008;36(11):2986–92.CrossRef
13.
Zurück zum Zitat Foti G, Cereda M, Banfi G, Pelosi P, Fumagalli R, Pesenti A. End-inspiratory airway occlusion: a method to assess the pressure developed by inspiratory muscles in patients with acute lung injury undergoing pressure support. Am J Respir Crit Care Med. 1997;156(4 Pt 1):1210–6.CrossRef Foti G, Cereda M, Banfi G, Pelosi P, Fumagalli R, Pesenti A. End-inspiratory airway occlusion: a method to assess the pressure developed by inspiratory muscles in patients with acute lung injury undergoing pressure support. Am J Respir Crit Care Med. 1997;156(4 Pt 1):1210–6.CrossRef
14.
Zurück zum Zitat Vaschetto R, Frigerio P, Sommariva M, Boggero A, Rondi V, Grossi F, et al. Evaluation of a systematic approach to weaning of tracheotomized neurological patients: an early interrupted randomized controlled trial. Ann Intensive Care. 2015;5(1):54.CrossRef Vaschetto R, Frigerio P, Sommariva M, Boggero A, Rondi V, Grossi F, et al. Evaluation of a systematic approach to weaning of tracheotomized neurological patients: an early interrupted randomized controlled trial. Ann Intensive Care. 2015;5(1):54.CrossRef
15.
Zurück zum Zitat Yang KL, Tobin MJ. A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation. N Engl J Med. 1991;324(21):1445–50.CrossRef Yang KL, Tobin MJ. A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation. N Engl J Med. 1991;324(21):1445–50.CrossRef
16.
Zurück zum Zitat Bikker IG, Preis C, Egal M, Bakker J, Gommers D. Electrical impedance tomography measured at two thoracic levels can visualize the ventilation distribution changes at the bedside during a decremental positive end-expiratory lung pressure trial. Crit Care. 2011;15(4):R193.CrossRef Bikker IG, Preis C, Egal M, Bakker J, Gommers D. Electrical impedance tomography measured at two thoracic levels can visualize the ventilation distribution changes at the bedside during a decremental positive end-expiratory lung pressure trial. Crit Care. 2011;15(4):R193.CrossRef
17.
Zurück zum Zitat Costa EL, Lima RG, Amato MB. Electrical impedance tomography. Curr Opin Crit Care. 2009;15(1):18–24.CrossRef Costa EL, Lima RG, Amato MB. Electrical impedance tomography. Curr Opin Crit Care. 2009;15(1):18–24.CrossRef
18.
Zurück zum Zitat Lowhagen K, Lundin S, Stenqvist O. Regional intratidal gas distribution in acute lung injury and acute respiratory distress syndrome assessed by electric impedance tomography. Minerva Anestesiol. 2010;76(12):1024–35.PubMed Lowhagen K, Lundin S, Stenqvist O. Regional intratidal gas distribution in acute lung injury and acute respiratory distress syndrome assessed by electric impedance tomography. Minerva Anestesiol. 2010;76(12):1024–35.PubMed
19.
Zurück zum Zitat Mauri T, Eronia N, Abbruzzese C, Marcolin R, Coppadoro A, Spadaro S, et al. Effects of sigh on regional lung strain and ventilation heterogeneity in acute respiratory failure patients undergoing assisted mechanical ventilation. Crit Care Med. 2015;43(9):1823–31.CrossRef Mauri T, Eronia N, Abbruzzese C, Marcolin R, Coppadoro A, Spadaro S, et al. Effects of sigh on regional lung strain and ventilation heterogeneity in acute respiratory failure patients undergoing assisted mechanical ventilation. Crit Care Med. 2015;43(9):1823–31.CrossRef
20.
Zurück zum Zitat Zhao Z, Moller K, Steinmann D, Frerichs I, Guttmann J. Evaluation of an electrical impedance tomography-based global inhomogeneity index for pulmonary ventilation distribution. Intensive Care Med. 2009;35(11):1900–6.CrossRef Zhao Z, Moller K, Steinmann D, Frerichs I, Guttmann J. Evaluation of an electrical impedance tomography-based global inhomogeneity index for pulmonary ventilation distribution. Intensive Care Med. 2009;35(11):1900–6.CrossRef
21.
Zurück zum Zitat Esteban A, Frutos-Vivar F, Ferguson ND, Arabi Y, Apezteguia C, Gonzalez M, et al. Noninvasive positive-pressure ventilation for respiratory failure after extubation. N Engl J Med. 2004;350(24):2452–60.CrossRef Esteban A, Frutos-Vivar F, Ferguson ND, Arabi Y, Apezteguia C, Gonzalez M, et al. Noninvasive positive-pressure ventilation for respiratory failure after extubation. N Engl J Med. 2004;350(24):2452–60.CrossRef
22.
Zurück zum Zitat Esteban A, Alia I, Gordo F, Fernandez R, Solsona JF, Vallverdu I, et al. Extubation outcome after spontaneous breathing trials with T-tube or pressure support ventilation. The Spanish Lung Failure Collaborative Group. Am J Respir Crit Care Med. 1997;156(2 Pt 1):459–65.CrossRef Esteban A, Alia I, Gordo F, Fernandez R, Solsona JF, Vallverdu I, et al. Extubation outcome after spontaneous breathing trials with T-tube or pressure support ventilation. The Spanish Lung Failure Collaborative Group. Am J Respir Crit Care Med. 1997;156(2 Pt 1):459–65.CrossRef
23.
Zurück zum Zitat Esteban A, Frutos F, Tobin MJ, Alia I, Solsona JF, Valverdu I, et al. A comparison of four methods of weaning patients from mechanical ventilation. Spanish Lung Failure Collaborative Group. N Engl J Med. 1995;332(6):345–50.CrossRef Esteban A, Frutos F, Tobin MJ, Alia I, Solsona JF, Valverdu I, et al. A comparison of four methods of weaning patients from mechanical ventilation. Spanish Lung Failure Collaborative Group. N Engl J Med. 1995;332(6):345–50.CrossRef
24.
Zurück zum Zitat Brochard L, Rauss A, Benito S, Conti G, Mancebo J, Rekik N, et al. Comparison of three methods of gradual withdrawal from ventilatory support during weaning from mechanical ventilation. Am J Respir Crit Care Med. 1994;150(4):896–903.CrossRef Brochard L, Rauss A, Benito S, Conti G, Mancebo J, Rekik N, et al. Comparison of three methods of gradual withdrawal from ventilatory support during weaning from mechanical ventilation. Am J Respir Crit Care Med. 1994;150(4):896–903.CrossRef
25.
Zurück zum Zitat Vaschetto R, Longhini F, Persona P, Ori C, Stefani G, Liu S, et al. Early extubation followed by immediate noninvasive ventilation vs. standard extubation in hypoxemic patients: a randomized clinical trial. Intensive Care Med. 2019;45(1):62–71.CrossRef Vaschetto R, Longhini F, Persona P, Ori C, Stefani G, Liu S, et al. Early extubation followed by immediate noninvasive ventilation vs. standard extubation in hypoxemic patients: a randomized clinical trial. Intensive Care Med. 2019;45(1):62–71.CrossRef
26.
Zurück zum Zitat Bickenbach J, Czaplik M, Polier M, Marx G, Marx N, Dreher M. Electrical impedance tomography for predicting failure of spontaneous breathing trials in patients with prolonged weaning. Crit Care. 2017;21(1):177.CrossRef Bickenbach J, Czaplik M, Polier M, Marx G, Marx N, Dreher M. Electrical impedance tomography for predicting failure of spontaneous breathing trials in patients with prolonged weaning. Crit Care. 2017;21(1):177.CrossRef
27.
Zurück zum Zitat Zhao Z, Peng SY, Chang MY, Hsu YL, Frerichs I, Chang HT, et al. Spontaneous breathing trials after prolonged mechanical ventilation monitored by electrical impedance tomography: an observational study. Acta Anaesthesiol Scand. 2017;61(9):1166–75.CrossRef Zhao Z, Peng SY, Chang MY, Hsu YL, Frerichs I, Chang HT, et al. Spontaneous breathing trials after prolonged mechanical ventilation monitored by electrical impedance tomography: an observational study. Acta Anaesthesiol Scand. 2017;61(9):1166–75.CrossRef
28.
Zurück zum Zitat Hsu YL, Tien AJ, Chang MY, Chang HT, Moller K, Frerichs I, et al. Regional ventilation redistribution measured by electrical impedance tomography during spontaneous breathing trial with automatic tube compensation. Physiol Meas. 2017;38(6):1193–203.CrossRef Hsu YL, Tien AJ, Chang MY, Chang HT, Moller K, Frerichs I, et al. Regional ventilation redistribution measured by electrical impedance tomography during spontaneous breathing trial with automatic tube compensation. Physiol Meas. 2017;38(6):1193–203.CrossRef
29.
Zurück zum Zitat Bodenstein M, Wang H, Boehme S, Vogt A, Kwiecien R, David M, et al. Influence of crystalloid and colloid fluid infusion and blood withdrawal on pulmonary bioimpedance in an animal model of mechanical ventilation. Physiol Meas. 2012;33(7):1225–36.CrossRef Bodenstein M, Wang H, Boehme S, Vogt A, Kwiecien R, David M, et al. Influence of crystalloid and colloid fluid infusion and blood withdrawal on pulmonary bioimpedance in an animal model of mechanical ventilation. Physiol Meas. 2012;33(7):1225–36.CrossRef
30.
Zurück zum Zitat Sobota V, Muller M, Roubik K. Intravenous administration of normal saline may be misinterpreted as a change of end-expiratory lung volume when using electrical impedance tomography. Sci Rep. 2019;9(1):5775.CrossRef Sobota V, Muller M, Roubik K. Intravenous administration of normal saline may be misinterpreted as a change of end-expiratory lung volume when using electrical impedance tomography. Sci Rep. 2019;9(1):5775.CrossRef
31.
Zurück zum Zitat Noble TJ, Harris ND, Morice AH, Milnes P, Brown BH. Diuretic induced change in lung water assessed by electrical impedance tomography. Physiol Meas. 2000;21(1):155–63.CrossRef Noble TJ, Harris ND, Morice AH, Milnes P, Brown BH. Diuretic induced change in lung water assessed by electrical impedance tomography. Physiol Meas. 2000;21(1):155–63.CrossRef
32.
Zurück zum Zitat Kunst PW, Vonk Noordegraaf A, Straver B, Aarts RA, Tesselaar CD, Postmus PE, et al. Influences of lung parenchyma density and thoracic fluid on ventilatory EIT measurements. Physiol Meas. 1998;19(1):27–34.CrossRef Kunst PW, Vonk Noordegraaf A, Straver B, Aarts RA, Tesselaar CD, Postmus PE, et al. Influences of lung parenchyma density and thoracic fluid on ventilatory EIT measurements. Physiol Meas. 1998;19(1):27–34.CrossRef
Metadaten
Titel
Electrical impedance tomography during spontaneous breathing trials and after extubation in critically ill patients at high risk for extubation failure: a multicenter observational study
verfasst von
Federico Longhini
Jessica Maugeri
Cristina Andreoni
Chiara Ronco
Andrea Bruni
Eugenio Garofalo
Corrado Pelaia
Camilla Cavicchi
Sergio Pintaudi
Paolo Navalesi
Publikationsdatum
01.12.2019
Verlag
Springer International Publishing
Erschienen in
Annals of Intensive Care / Ausgabe 1/2019
Elektronische ISSN: 2110-5820
DOI
https://doi.org/10.1186/s13613-019-0565-0

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