Skip to main content

Electrical activity of the diaphragm (EAdi) as a monitoring parameter in difficult weaning from respirator: a pilot study



A reliable prediction of successful weaning from respiratory support may be crucial for the overall outcome of the critically ill patient. The electrical activity of the diaphragm (EAdi) allows one to monitor the patients’ respiratory drive and their ability to meet the increased respiratory demand. In this pilot study, we compared the EAdi with conventional parameters of weaning failure, such as the ratio of respiratory rate to tidal volume.


We studied 18 mechanically ventilated patients considered difficult to wean. For a spontaneous breathing trial (SBT), the patients were disconnected from the ventilator and given oxygen through a T-piece. The SBT was evaluated by using standard criteria.


Twelve patients completed the SBT successfully, and six failed. The EAdi was significantly different in the two groups. We found an early increase in EAdi in the failing patients that was more pronounced than in any of the patients who successfully passed the SBT. Changes in EAdi predicted an SBT failure earlier than did conventional parameters.


EAdi monitoring adds valuable information during weaning from the ventilator and may help to identify patients who are not ready for discontinuation of respiratory support.


Successful weaning from respiratory support is a matter of major importance in critically ill patients recovering from acute respiratory failure. The assessment of lung function before discontinuation of ventilator support is essential to predict the patient’s ability to breathe spontaneously without mechanical assistance. Weaning readiness has been the subject of research over the past years, and numerous parameters have been proposed as predictors of weaning success, indicating the lack of a reliable solution. An easy-to-obtain and therefore widely accepted parameter is the rapid shallow breathing index (RSBI), which is the ratio of respiratory rate and tidal volume (RR/VT) [1, 2].

Electromyography of the diaphragm has been used to describe the patients’ functional status and neuromuscular coupling in numerous studies [35] and has been shown to provide a real-time, breath-by-breath measure of neural respiratory drive [6]. With the clinical introduction of neurally adjusted ventilatory assist (NAVA) as a ventilator mode, the electrical activity of the diaphragm (EAdi) gives the clinician a monitoring parameter of diaphragmatic function. The electromyogram of the crural diaphragm is recorded by a set of electrodes incorporated into a special nasogastric tube (EAdi catheter). The filtered and amplified signal is displayed on the ventilator’s control panel [7]. Experimental studies have shown its value in measuring diaphragmatic function [8, 9], as the amplitude of the signal correlates with the patients’ respiratory drive [3, 10]. Clinical studies and results from animal experiments confirmed the physiological concepts [11, 12]. Although primarily intended to control the ventilator, the EAdi allows monitoring of the respiratory drive in relation to tidal volume. The tidal volume (VT) during unassisted spontaneous breathing is proportional to the electrical activity of the diaphragm and reflects the neural output of the central respiratory regulation in healthy dogs [8].

The diaphragmatic electromyogram has been used to describe respiratory effort in patients [13]. In patients with poor neuromuscular coupling, tidal-volume generation might not follow the patients’ central respiratory drive. As shown by Sinderby and colleagues [14], severe chronic obstructive pulmonary disease and restrictive pulmonary disease induce increased diaphragm activation at rest. During weaning, respiratory drive and thus EAdi are expected to increase earlier than conventional assessment parameters of muscular function (for example, tidal volume, respiratory rate, gas exchange, and clinical signs of exhaustion). The EAdi signal might therefore be a better monitoring parameter during weaning. Recently it was shown that EAdi-derived indices might provide reliable, early predictors of weaning outcome [15], and EAdi has also been used to monitor weaning from the ventilator in pediatric patients [16]

In this pilot study, we compared the EAdi with conventional weaning parameters in difficult-to-wean patients scheduled for an SBT. Our primary goal was to observe the expected increase in the EAdi. A secondary goal was to compare the conventional weaning parameters with those derived from the EAdi.

Materials and methods

The study was performed in the anesthesiologic intensive care unit (ICU) at the University Hospital in Göttingen, Germany, after approval by the local ethics committee (Ethic Committee of the Medical Faculty, Georg-August-University, Göttingen). Written informed consent was waived because of the observational design of the study. All patients were recovering from respiratory failure after severe illness and were considered difficult to wean. These patients had either already failed an initial weaning attempt or had been on the ventilator for a long period and were expected to require more than 7 days for successful weaning. Patients who proceeded from initiation of weaning to extubation on the first attempt were excluded [17].

We identified patients as ready to wean by using criteria adapted from Macintyre et al. [18]:

  • Age >18 years, capable of assisted spontaneous breathing

  • RSBI <105

  • Stable hemodynamics (heart rate (HR) ≤110 beats per minute (bpm), low-dose catecholamine therapy (epinephrine/norepinephrine ≤0.1 μg/kg/min)

  • Positive end-expiratory pressure (PEEP) ≥8 cm H2O, FiO2 ≤0.5

  • No acidosis (pH ≥7,35)

  • Afebrile (temperature <38°C)

  • Cooperative patients with motor-activity assessment scale (MAAS) scores from 2 to 4 [19]

All patients had a stable respiratory pattern at least 1 hour before starting the SBT. The patients were disconnected from the ventilator, and supplementary oxygen was supplied through a T-piece to keep peripheral oxygen saturation >90%.

The SBT was discontinued after 30 minutes or when one of the following events occurred [18]:

  • Oxygen saturation <90%

  • HR >120 bpm or change of HR >20%

  • Systolic blood pressure (BP) >180 mm Hg or <90 mm Hg or change of BP >20%

  • Respiratory rate (RR) ≥35 breath/minute or change of RR >50%

  • Clinical signs of distress (change in mental status (MAAS 6), diaphoresis)

The correct position of the EAdi catheter was verified before the trial as described elsewhere [20]. The VT/EAdi ratio was calculated according to Wolf [16] by using VT (ml) and delta EAdi (EAdimax - EAdimin) to quantify the patients’ electrical effort with tidal volume. We used respiratory-inductive plethysmography (RIP) with a thoracic band at mammillary level and an abdominal band at the level of the naval. Baseline measurements were used to calibrate tidal volume measured by RIP with flow-measured values from the ventilator by using a simplified qualitative diagnostic calibration (QDC) [21], assuming an equal contribution of thoracic and abdominal expansion to VT. RIP data were then used to estimate tidal volume during the disconnection period in the first 11 patients (VTest). For patients 12 to 18, we used an additional flow sensor (Bicore II; CareFusion, San Diego, CA, USA) to measure tidal volume. Relative changes in lung volume were derived for each patient by using RIP [22, 23].

Data collection

Data were recorded 5 minutes before the patient was disconnected from the ventilator (pre D), 5 minutes after disconnection (D (f)), before reconnection to the ventilator (D (l)) and 5 minutes after reconnection (post D). All RIP and EAdi-catheter data were recorded at a sampling rate of 60 to 100 Hz by using dedicated software (Bicore IIcker; Maquet, Solna, Sweden). Tidal volume, respiratory rate, PEEP, mean and peak airway pressure, EAdimax and EAdimin, were taken from the NAVA tracker, analyzed breath-by-breath during a 2-minute measurement period, and the mean values were used for further analysis. Oxygen saturation, hemodynamic data (arterial blood pressure and heart rate), and arterial blood gases were collected at each step by a patient data-management system (ICIP; Philips, Eindhoven, The Netherlands). The mental status of the patient was assessed by the study group at each step by using the motor-activity assessment scale [19]. Outcome data were collected 72 hours after the trial (72 h) and at the end of the ICU stay.

Statistical analysis

Because of the pilot character of the study, no sample-size calculation was performed. Descriptive data are given as medians and 25% and 75% quartiles, unless stated otherwise. Groups were tested for significant differences with the Mann–Whitney U test; paired variables were tested for significant differences with the Wilcoxon test, and multiple variables with the Friedman-ANOVA by using standard statistical software (Statistica 9.0; StatSoft, Tulsa, OK,USA).


Table 1 depicts basic patient data of the 18 patients studied. Twelve patients successfully completed the SBT (success patients), and six failed (failure patients). Based on the failure criteria defined in the Methods section [18], in 16 instances, failure criteria were met. A single patient could have more than one failed criterion. Reasons for failure were the following: an oxygen saturation >90% in two patients, an HR >120 bpm or a >20% change in HR in two patients, systolic BP >180 mm Hg or a >20% change in BP in four patients, a RR >35 breath/minute or a >50% change in RR in three patients (both criteria occurred in two patients), or clinical signs of distress in three patients.

Table 1 Basic patient data

With regard to the outcome after 72 hours, none of the six patients who failed the SBT was able to be weaned from mechanical ventilation, whereas eight of the 12 patients who passed the SBT were successfully weaned. Of the remaining four patients, three were already given a tracheotomy before the SBT and were classified as “prolonged weaning” [17]. The remaining patient successfully passing the SBT, who could not be weaned from the ventilator, received a tracheostomy later. At study inclusion, 10 patients had a tracheostomy; three of these failed the SBT. In the failure group, three of the six patients died in the ICU. This is consistent with the high SAPS II scores of our patients. No significant difference was found in gender, BMI, SAPS II, duration of ICU stay, duration of ventilator support, PEEP, and pressure support before study inclusion between failure and success patients. Disconnection from the ventilator led to changes in the weaning indices, EAdimax (Figure 1), heart rate, and blood pressure in all patients (Table 2).

Figure 1
figure 1

EAdi max values of patients before, during, and after the spontaneous breathing trial. The figure shows the EAdimax values in microvolts for each patient before (pre D) during (D(f) and D(l)), and after a spontaneous breathing trial (SBT). Light grey squares depict EAdimax values of patients successfully passing the SBT (n = 12), with dashed lines highlighting those patients still needing ventilator support after 72 hours (n = 4 of 12). Black triangles depict EAdimax values of patients failing the SBT (n = 6). pre D, baseline values before SBT; D(f), first values after disconnection from the ventilator (after about 5 minutes); D(l), last values before reconnecting to the ventilator; post D, values after about 5 minutes after reconnecting to the ventilator.

Table 2 Respiratory and hemodynamic parameters during the baseline measurements (pre D), the spontaneous breathing trial (D(f)) and (D(l)) and after reconnection to the ventilator (post D) for all patients

Respiratory rate during the SBT differed significantly between the failure and success groups (P < 0.05). Large differences occurred in other parameters (VT, VT/EAdi, RR/VT, BP, EAdimax), but these did not reach a statistically significant level (Table 2). During the SBT, significant changes were noted in VT/EAdi, HF, BP, MAAS, and EAdimax in the group of failure patients, which were not observed in the success group (Table 2). These results are illustrated by the tracings of two patients in Figure 2. The EAdimax tracing of the success patient shows a stable course, increasing to a moderate degree only late during the disconnection, whereas the EAdi of the failure patient increased immediately after disconnection from the ventilator. The changes during the SBT in relation to the starting point (pre D) are summarized in Figure 3.

Figure 2
figure 2

Electrical activity of the diaphragm (EAdi max ), respiratory inductive plethysmography (RIP), and respiratory rate (RR) tracings (y-axes) over time (x-axis) of a success (number 6) and a failure patient (number 2) during a spontaneous breathing trial (SBT). The figure shows patient 6 successfully passing the SBT (top), and patient 2, who failed to pass the SBT (bottom). The horizontal line (number 6 SBT, 30 minutes; number 2 SBT, 5 minutes) indicates the duration of the SBT. In each patient, the upper part of the graph shows the RIP tracings from the thoracic (fine dots) and abdominal band (bold dots); the lower part shows the respiratory rate (dashed line) and the EAdimax (solid line). Note the steep increase in EAdimax in patient 2 after disconnection from the ventilator.

Figure 3
figure 3

Changes of tidal volume, respiratory rate, electrical activity of the diaphragm, and weaning indices in relation to pre D in failure ( n = 6) and success ( n = 12) patients. The figure shows the median differences between D(f) and pre D, D(l) and pre D, and post D and pre D for tidal volume (VT), electrical activity of the diaphragm (EAdimax), respiratory rate (RR), and derived indices (RR/dEAdi, VT/dEAdi, and RR/VT) for failure and success patients. Dark columns show failure patients; light columns, success patients.

The analysis of the RIP data consisted of the thoracic (RIPTX) and abdominal band (RIPAB) and the sum of the two (RIPSUM) (Figure 4). Adding the changes of the thoracic and the abdominal band can be used to illustrate overall changes in functional residual capacity (FRC). This summation value decreases after disconnecting the patients from the ventilator (D(f)), reflecting a decrease in thoracic circumference. In the failure patients, an increase in the summation of both bands toward the end of the SBT (D(l)) is visible. After reconnection to the ventilator, this value reflects an increase compared with the pre-disconnection level in all patients, which is more pronounced in the failure patients.

Figure 4
figure 4

Respiratory inductive plethysmography (RIP) data illustrating changes in lung volume in relation to pre D during the spontaneous breathing trial (in arbitrary units). The figure shows RIP data during an SBT, presented as differences from pre-disconnetion values. Therefore, positive differences stand for a decrease in RIP, and negative differences stand for an increase in RIP. Dark columns represent failure patients, and light columns, the success patients. Please note: Compared with preD, there is a decrease in RIP values to D(f), and D(l); only the failure patients show increased RIP values.


Our observations show that EAdi can be used as additional monitoring when weaning difficult-to-wean patients from the ventilator.

During the SBT, we assessed the patients by using a standard protocol [18]. The patient was thereby completely disconnected from the ventilator to see inspiratory muscle activity during the whole inspiratory period and to avoid effects of triggering pressure support by only brief diaphragmatic contractions [24]. Conventional criteria were used to decide when to terminate the SBT. Six of the patients failed the SBT, and 12 passed. The EAdi differed between the two groups, with an early increase in the failure patients that was more pronounced than that in those who passed the SBT. Our findings confirm those of Dres and colleagues [15], who described an early increase of EAdi-derived indices (such as EAdimax/VT) in patients who failed a weaning trial. The result is reflected by the decreasing VT/EAdi ratio in the failure group. In an animal model, Grasselli and co-workers [5] demonstrated that the (VT/EAdi, no-assist)/(VT/EAdi, assist) ratio decreases with increasing ventilatory support, as does the work of breathing. Although evaluation of EAdi confirms physiological concepts that an increase of EAdi can be expected in a failing diaphragm, it does not outperform respiratory rate-derived indices in our study. The potential benefits of EAdi might be visible when the parameter is assessed continuously, helping to detect pathophysiologic changes early. Figure 1 shows the anticipated increase of EAdi in a failure patient.

A recent study by Wolf and co-workers [16] used the ratio VT/(EAdimax _ EAdimin) to assess extubation readiness in a pediatric population. A lower ratio of tidal volume to deltaEAdi was found in the patients who passed the SBT, suggesting that patients with a higher deltaEAdi relative to tidal volume at the end of a 1-hour SBT may have better-preserved diaphragmatic function and therefore may be more easily weaned from ventilator support. Our observations showed that the patients who failed the SBT had an early reduction in the VT/EAdi ratio that was mainly because of a steep increase in EAdi. This could be explained by the patients’ efforts to maintain sufficient tidal ventilation.

Provided intact feedback exists to the patients’ central respiratory regulation, patients experience a decrease in minute ventilation (via increasing PaCO2) and lung volumes (for example, FRC (via PaO2 and stretch receptors)) when disconnected from the ventilator. Those who are unable to generate a sufficient tidal volume and maintain the FRC will increase inspiratory drive and thus neural output to the diaphragm. Insufficient increase in muscle effort will induce a further increase in EAdi, with ultimate failure of the SBT. The VT/EAdi ratio may be affected by increased resistive load (for example, upper airway obstruction), decreased pulmonary or chest-wall compliance (for example, pulmonary edema, obesity), mechanical alterations of diaphragmatic function (for example, ventilator-induced diaphragmatic dysfunction [25]) and reduced neuromuscular coupling (for example, critical illness neuromuscular abnormalities [17, 26, 27]). Under such circumstances, each patient has an individual threshold of respiratory efficacy, reflected by the VT/EAdi ratio, corresponding to the idea of a “fatigue zone” from the work of Tobin [28].

The study of Wolf et al.[16] differed from ours with regard to patient population and study design (1-hour SBT with PEEP reduced to 5 cm H2O and pressure support reduced to overcome resistance of endotracheal tube), but we agree that the VT/EAdi ratio reflects the effectiveness of diaphragmatic activation and may be a useful parameter in predicting successful weaning, although the results must be interpreted with caution. The parallel evaluation of a pressure-derived weaning index (for example, P = 0.1) may elucidate underlying reasons for weaning failure.

We compared the EAdi and VT/EAdi with the RR/VT ratio, which is the most commonly used and best-established predictor of weaning [29]. The RR/VT ratio is influenced by PSV and PEEP [30, 31]. Therefore, we measured the RR/VT ratio during a T-piece trial, to maintain its typical cut-off value, although no difference appeared in the outcome of SBT either PSV or a T-piece [32, 33].

The failure and success groups differed greatly with regard to the two ratios, RR/VT and VT/EAdi, but the differences were not statistically significant. This could be attributable to the small population size. The failure group reached a median value of >105 bpm/L after disconnection form the ventilator, indicating extubation failure. However, because the RSBI was not available at the bedside during the trial, the decision to terminate the SBT was based on the clinical criteria described earlier. The decision to discontinue was reached relatively late (18 (8/22) minutes) compared with the early increase in EAdi at D (f) after 5 minutes.

The results of the RIP data add to the recent study by Dres and colleagues [23] on this matter and indicate that lung volume decreases the patient is disconnected from the ventilator (Figure 4, pre D-D(f)); mainly as a result of decreased thoracic circumference. This may be interpreted as because of loss of PEEP and pressure support during disconnection [23]. Lung volume increased toward the end of the SBT in the patients who failed the SBT (Figure 4, preD-D(l)). A possible explanation is the rapid, shallow breathing that these patients increasingly exhibit. Combined with expiratory-flow limitation, which has been demonstrated in patients with respiratory failure [34], this is the leading mechanism responsible for the development of intrinsic PEEP [35]. The additional effort is also indicated by the increase in EAdi. When the patient was reconnected to the ventilator, the thoracic and abdominal circumferences increased in the patients in both groups, probably because of the applied PEEP. The effect is more pronounced in the failure patients, which may indicate intrinsic PEEP.

Study limitations

This study has several limitations. It was planned as an observational pilot trial and was not powered to give significant results. The observed large differences in some parameters are difficult to interpret because of the small population size. We excluded patients who were considered simple to wean [17]. All of our patients were in the process of being weaned from the ventilator. Ten patients had had at least one unsuccessful extubation attempt and had been given a tracheotomy. The heterogeneity of the collective and limiting our study to difficult-to-wean patients makes a generalization of our results difficult, but it underlines the feasibility and informative value of EAdi as a monitoring parameter. Most of our patients had been admitted to the ICU after cardiothoracic surgery, a factor that may have contributed to the underlying cause of weaning failure.

The VT data and derived indices during disconnection from the ventilator must be used cautiously, as the tidal volume was estimated from the RIP data in the first 11 patients. For calibration, we used the QDC described by Sackner [21]. It uses the equation: dVT = M(K × dRIPTX + dRIPAB (dVT, delta tidal volume; M, constant factor, scaling the summation of RIPTX and RIPAC to volume; K, calibration factor, indicating the relative contribution of RIPTX and RIPAB to volume; dRIPTX/AB, = delta of the respiratory inductive plethysmography reading of the thorax/abdomen). Although this has been validated in naturally breathing subjects [21, 36], transferring the method to critically ill patients being disconnected from a ventilator must be regarded as an approximation and may have underestimated the tidal volume during disconnection. With a fixed weighting of the RIP signals (K = 1), measurement errors must be taken into ac-count [37].


Continuous EAdi monitoring provides additional information for the clinician caring for patients during weaning. We found that EAdi shows an early increase during the SBT in patients who failed the trial, and this increase can be detected before a patient finally fails according to clinical criteria. Thus, EAdi monitoring has the potential to guide respiratory weaning in difficult-to-wean patients and might help to prevent the muscular exhaustion during weaning trials, known to have detrimental effects on the patient. Further studies of the EAdi signal during liberation from mechanical ventilation and comparison with other weaning parameters is needed.

Key messages

  • EAdi monitoring provides valuable information on respiratory drive.

  • During weaning from the ventilator, EAdi monitoring may help to identify patients who are not ready for discontinuation of respiratory support.

  • EAdi monitoring might help to prevent the muscular exhaustion during weaning trials that is known to have detrimental effects on the patient.

  • Further analysis of the EAdi and comparison with other weaning parameters is needed.



Body mass index


Systolic blood pressure


Beats per minute


5 minutes after the patient was disconnected (first measurement during SBT)


Before reconnecting the patient to the ventilator (last measurement during SBT)


Electrical activity of the diaphragm


Functional residual capacity


Heart rate


Intensive care unit


Motor Activity Assessment Scale


Neurally adjusted ventilatory assist


Positive end-expiratory pressure

post D:

5 minutes after reconnecting the patient to the ventilator

pre D:

5 minutes before the patient was disconnected from the ventilator


Pressure-support ventilation


Qualitative diagnostic calibration


Respiratory-inductive plethysmography


Respiratory-inductive plethysmography data from the abdominal band


Respiratory-inductive plethysmography data from the summation of both bands


Respiratory-inductive plethysmography data from the thoracic band


Respiratory rate


Rapid shallow breathing index


New Simplified Acute Physiology Score


Spontaneous breathing trial


Tidal volume


Tidal volume estimated by respiratory-inductive plethysmography (patients 1 to 11).


  1. 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: 1445-1450. 10.1056/NEJM199105233242101

    PubMed  CAS  Article  Google Scholar 

  2. Berg KM, Lang J, Salciccioli JD, Bak E, Cocchi MN, Gautam S, Donnin MW: The Rapid Shallow Breathing Index as a predictor of failure of noninvasive ventilation for patients with acute respiratory failure. Respir Care 2012, 57: 1548-1554. 10.4187/respcare.01597

    PubMed  Article  Google Scholar 

  3. Sinderby C, Navalesi P, Beck J, Skrobik Y, Comtois N, Friberg S, Gottfried SB, Lindström L: Neural control of mechanical ventilation in respiratory failure. Nat Med 1999, 5: 1433-1436. 10.1038/71012

    PubMed  CAS  Article  Google Scholar 

  4. Beck J, Reilly M, Grasselli G, Mirabella L, Slutsky AS, Dunn MS, Sinderby C: Patient-ventilator interaction during neurally adjusted ventilatory assist in low birth weight infants. Pediatr Res 2009, 65: 663-668. 10.1203/PDR.0b013e31819e72ab

    PubMed  PubMed Central  Article  Google Scholar 

  5. Grasselli G, Beck J, Comtois N, Brunet F, Sinderby C: Determination of patient’s contribution to a breath during mechanical ventilation [abstract]. Am J Respir Crit Care Med 2009, 179: 3070.

    Google Scholar 

  6. Jolley CJ, Luo YM, Steier J, Reilly C, Seymour J, Lunt A, Ward K, Rafferty GF, Polkey MI, Moxham J: Neural respiratory drive in healthy subjects and in COPD. Eur Respir J 2009, 33: 289-297.

    PubMed  CAS  Article  Google Scholar 

  7. Beck J, Sinderby C, Lindström L, Grassino A: Influence of bipolar esophageal electrode positioning on measurements of human crural diaphragm electromyogram. J Appl Physiol 1996, 81: 1434-1449.

    PubMed  CAS  Google Scholar 

  8. Lourenço RV, Cherniack NS, Malm JR, Fishman AP: Nervous output from the respiratory center during obstructed breathing. J Appl Physiol 1966, 21: 527-533.

    PubMed  Google Scholar 

  9. Petit JM, Milic-Emili G, Delhez L: Role of the diaphragm in breathing in conscious normal man: an electromyographic study. J Appl Physiol 1960, 15: 1101-1106.

    PubMed  CAS  Google Scholar 

  10. Beck J, Campoccia F, Allo JC, Brander L, Brunet F, Slutsky AS, Sinderby C: Improved synchrony and respiratory unloading by neurally adjusted ventilatory assist (NAVA) in lung-injured rabbits. Pediatr Res 2007, 61: 289-294. 10.1203/01.pdr.0000257324.22406.93

    PubMed  Article  Google Scholar 

  11. Colombo D, Cammarota G, Bergamaschi V, De Lucia M, Corte FD, Navalesi P: Physiologic response to varying levels of pressure support and neurally adjusted ventilatory assist in patients with acute respiratory failure. Intensive Care Med 2008, 34: 2010-2018. 10.1007/s00134-008-1208-3

    PubMed  Article  Google Scholar 

  12. Brander L, Leong-Poi H, Beck J, Brunet F, Hutchison SJ, Slutsky AS, Sinderby C: Titration and implementation of neurally adjusted ventilatory assist in critically ill patients. Chest 2009, 135: 695-703. 10.1378/chest.08-1747

    PubMed  Article  Google Scholar 

  13. Luo YM, Li RF, Jolley C, Wu HD, Steier J, Moxham J, Zhong NS: Neural respiratory drive in patients with COPD during exercise tests. Respiration 2011, 81: 294-301. 10.1159/000317136

    PubMed  CAS  Article  Google Scholar 

  14. Sinderby C, Beck J, Spahija J, Weinberg J, Grassino A: Voluntary activation of the human diaphragm in health and disease. J Appl Physiol 1998, 85: 2146-2158.

    PubMed  CAS  Google Scholar 

  15. Martin Dres M, Schmidt M, Ferre A, Mayaux J, Similowski T, Demoule A: Diaphragm electromyographic activity as a predictor of weaning failure. Intensive Care Med 2012, 38: 2017-2025. 10.1007/s00134-012-2700-3

    PubMed  Article  Google Scholar 

  16. Wolf GK, Walsh BK, Green ML, Arnold JH: Electrical activity of the diaphragm during extubation readiness testing in critically ill children. Pediatr Crit Care Med 2011, 12: 220-224. 10.1097/PCC.0b013e3181fe28fc

    Article  Google Scholar 

  17. Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, Pearl R, Silverman H, Stanchina M, Vieillard-Baron A, Welte T: Weaning from mechanical ventilation. Eur Respir J 2007, 29: 1033-1056. 10.1183/09031936.00010206

    PubMed  Article  Google Scholar 

  18. MacIntyre NR, Cook DJ, Ely EW Jr, Epstein SK, Fink JB, Heffner JE, Hess D, Hubmayer RD, Scheinhorn DJ: Evidence-based guidelines for weaning and discontinuing ventilatory support: a collective task force facilitated by the American College of Chest Physicians; the American Association for Respiratory Care; and the American College of Critical Care Medicine. Chest 2001, 120: 375-395. 10.1378/chest.120.6_suppl.375S

    Article  Google Scholar 

  19. Devlin JW, Boleski G, Mlynarek M, Nerenz DR, Peterson E, Jankowski M, Horst HM, Zarowitz BJ: Motor Activity Assessment Scale: a valid and reliable sedation scale for use with mechanically ventilated patients in an adult surgical intensive care unit. Crit Care Med 1999, 27: 1271-1275. 10.1097/00003246-199907000-00008

    PubMed  CAS  Article  Google Scholar 

  20. Barwing J, Ambold M, Linden N, Quintel M, Moerer O: Evaluation of the catheter positioning for neurally adjusted ventilatory assist. Intensive Care Med 2009, 35: 1809-1814. 10.1007/s00134-009-1587-0

    PubMed  PubMed Central  Article  Google Scholar 

  21. Sackner MA, Watson H, Belsito AS, Feinerman D, Suarez M, Gonzalez G, Bizousky F, Krieger B: Calibration of respiratory inductive plethysmograph during natural breathing. J Appl Physiol 1989, 66: 410-420.

    PubMed  CAS  Google Scholar 

  22. Leino K, Nunes S, Valta P, Takala J: Validation of a new respiratory inductive plethysmograph. Acta Anaesthesiol Scand 2001, 45: 104-111. 10.1034/j.1399-6576.2001.450116.x

    PubMed  CAS  Article  Google Scholar 

  23. Valta P, Takala J, Foster R, Weissman C, Kinney JM: Evaluation of respiratory inductive plethysmography in the measurement of breathing pattern and PEEP-induced changes in lung volume. Chest 1992, 102: 234-238. 10.1378/chest.102.1.234

    PubMed  CAS  Article  Google Scholar 

  24. Cabello B, Thille AW, Roche-Campo F, Brochard L, Gómez FJ, Mancebo J: Physiological comparison of three spontaneous breathing trials in difficult-to-wean patients. Intensive Care Med 2010, 36: 1171-1179. 10.1007/s00134-010-1870-0

    PubMed  Article  Google Scholar 

  25. Levine S, Nguyen T, Taylor N, Friscia ME, Budak MT, Rothenberg P, Zhu J, Sachdeva R, Sonnad S, Kaiser LR, Rubinstein NA, Powers SK, Shrager JB: Rapid disuse atrophy of diaphragm fibers in mechanically ventilated humans. N Engl J Med 2008, 358: 1327-1335. 10.1056/NEJMoa070447

    PubMed  CAS  Article  Google Scholar 

  26. De Jonghe B, Bastuji-Garin S, Sharshar T, Outin H, Brochard L: Does ICU-acquired paresis lengthen weaning from mechanical ventilation? Intensive Care Med 2004, 30: 1117-1121. 10.1007/s00134-004-2174-z

    PubMed  Article  Google Scholar 

  27. Epstein SK, Ciubotaru RL: Independent effects of etiology of failure and time to reintubation on outcome for patients failing extubation. Am J Respir Crit Care Med 1998, 158: 489-493. 10.1164/ajrccm.158.2.9711045

    PubMed  CAS  Article  Google Scholar 

  28. Tobin MJ, Laghi F, Jubran A: Respiratory muscle dysfunction in mechanically ventilated patients. Mol Cell Biochem 1998, 179: 87-98. 10.1023/A:1006807904036

    PubMed  CAS  Article  Google Scholar 

  29. Nemer SN, Barbas CS, Caldeira JB, Cárias TC, Santos RG, Almeida LC, Azeredo LM, Noé RA, Guimarães BS, Souza PC: A new integrative weaning index of discontinuation from mechanical ventilation. Crit Care 2009, 13: 152. 10.1186/cc7882

    Article  Google Scholar 

  30. El-Khatib MF, Zeineldine SM, Jamaleddine GW: Effect of pressure support ventilation and positive end expiratory pressure on the rapid shallow breathing index in intensive care unit patients. Intensive Care Med 2008, 34: 505-510. 10.1007/s00134-007-0939-x

    PubMed  Article  Google Scholar 

  31. Bien MY, Shui Lin Y, Shih CH, Yang YL, Lin HW, Bai KJ, Wang JH, Ru Kou Y: Comparisons of predictive performance of breathing pattern variability measured during T-piece, automatic tube compensation, and pressure support ventilation for weaning intensive care unit patients from mechanical ventilation. Crit Care Med 2011, 39: 2253-2262. 10.1097/CCM.0b013e31822279ed

    PubMed  Article  Google Scholar 

  32. Haberthur C, Mols G, Elsasser S, Bingisser R, Stocker R, Guttmann J: Extubation after breathing trials with automatic tube compensation, T-tube, or pressure support ventilation. Acta Anaesthesiol Scand 2002, 46: 973-979. 10.1034/j.1399-6576.2002.460808.x

    PubMed  CAS  Article  Google Scholar 

  33. Esteban A, Alía I, Gordo F, Fernández R, Solsona JF, Vallverdú I, Macías S, Allegue JM, Blanco J, Carriedo D, León M, De La Cal MA, Taboada F, Gonzalez De Velasco J, Palazón E, Carrizosa F, Tomás R, Suarez J, Goldwasser RS: 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: 459-465. 10.1164/ajrccm.156.2.9610109

    PubMed  CAS  Article  Google Scholar 

  34. Laghi F, Goyal A: Auto-PEEP in respiratory failure. Minerva Anestesiol 2012, 78: 201-221.

    PubMed  CAS  Google Scholar 

  35. Koutsoukou A, Bekos B, Sotiropoulou C, Koulouris NG, Roussos C, Milic-Emili J: Effects of positive end-expiratory pressure on gas exchange and expiratory flow limitation in adult respiratory distress syndrome. Crit Care Med 2002, 30: 1941-1949. 10.1097/00003246-200209000-00001

    PubMed  Article  Google Scholar 

  36. Adams JA, Zabaleta IA, Stroh D, Johnson P, Sackner MA: Tidal volume measurements in newborns using respiratory inductive plethysmography. Am Rev Respir Dis 1993, 148: 585-588. 10.1164/ajrccm/148.3.585

    PubMed  CAS  Article  Google Scholar 

  37. Markhorst DG, Van Gestel JP, Van Genderingen HR, Haitsma JJ, Lachmann B, Van Vught AJ: Respiratory inductive plethysmography accuracy at varying PEEP levels and degrees of acute lung injury. J Med Eng Technol 2006, 30: 166-175. 10.1080/03091900500529826

    PubMed  CAS  Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Onnen Moerer.

Additional information

Competing interests

The Department of Anesthesiology, Emergency and Intensive Care Medicine, University of Göttingen, provides educational courses on lung-protective ventilation that are supported in part by Maquet Critical Care. In 2006, Dr. Moerer participated in a research project at Uppsala University, partly financed by research grants of Göttingen and Uppsala University and Maquet Critical Care. Prof. Quintel consults for companies that manufacture ventilators, including Maquet Critical Care, and is remunerated for these consultations.

Authors’ contributions

JB designed the study, participated in the bedside measurements, coordinated the offline analysis, performed the statistical analysis, and wrote the manuscript. CP and UO performed the bedside measurements and participated in the data analysis and drafting the manuscript. MQ participated in the design of the study. OM conceived the study and participated in its design, participated in the bedside measurements and in writing the manuscript, and coordinated the study. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Barwing, J., Pedroni, C., Olgemöller, U. et al. Electrical activity of the diaphragm (EAdi) as a monitoring parameter in difficult weaning from respirator: a pilot study. Crit Care 17, R182 (2013).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Electrical activity of the diaphragm (EAdi)
  • Neurally adjusted ventilatory assist (NAVA)
  • Ventilator weaning