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Mechanical ventilation weaning issues can be counted on the fingers of just one hand: part 1

The Ultrasound Journal volume 12, Article number: 9 (2020) Cite this article

Abstract

Although mechanical ventilation may be a patient’s vital ally during acute illness, it can quickly transform into an enemy during chronic conditions. The weaning process is the fundamental phase that enables the resumption of physiological respiratory function; however, it is also associated with a number of life-threatening complications, and a large percentage of critically ill patients never achieve airway device removal or require the resumption of mechanical ventilation just a few days post-weaning. Indeed, the weaning process is, at present, more of an art than a science. As such, there is urgent need for novel contributions from the scientific literature to abate the growing rates of morbidity and mortality associated with weaning failure. The physician attempting to wean a patient must integrate clinical parameters and common-sense criteria. Numerous studies have striven to identify single predictive factors of weaning failure and sought to standardize the weaning process, but the results are characterized by remarkable heterogeneity. Despite the lack of benchmarks, it is clear that the analysis of respiratory function must include a detailed overview of the five situations described below rather than a single aspect. The purpose of this two-part review is to provide a comprehensive description of these situations to clarify the “arena” physicians are entering when weaning critically ill patients from mechanical ventilation.

Introduction

Up to 25% of critically ill patients experience difficulties in weaning from invasive mechanical ventilation (IMV), burdening the intensive care unit (ICU) with long lengths-of-stay, prolonged mechanical ventilation (IMV), and increased morbidity and mortality [1]. Weaning failure is commonly described as a failed spontaneous breathing trial (SBT) or the reinstitution of mechanical ventilation within 2 to 7 days after extubation [2]. Failed extubation complicates up to 30% of successful spontaneous breathing trials [3] and correlates with higher morbidity and mortality rates [4, 5].

Determining the optimal time to extubate a patient continues to be a challenge. Prolonged mechanical ventilation is associated with a series of adverse effects (e.g., tracheal lesions, ventilator-associated pneumonia, ventilator-induced lung injury, and ventilator-induced diaphragm injury) [6, 7], whereas premature extubation exposes the patient to cardiovascular stress due to spontaneous breathing, often requiring the reinstitution of ventilatory support [8]. Although international guidelines recommend the implementation of spontaneous breathing trials [9], used alone this practice is ineffective in predicting weaning failure and reintubation [10,11,12,13]. A number of studies have investigated and proposed different parameters as outcome predictors of weaning from mechanical ventilation; however, a clear understanding of the ideal time to proceed with extubation for a successful outcome continues to elude us [14, 15]. Cardiac failure, diaphragmatic dysfunction and acute respiratory illness (lung parenchyma disease, or upper or lower airway obstructions), neurological status, and intra-abdominal issues are among the known leading causes of failed weaning [3, 16].

Significant advancements have been achieved in ultrasound technology over the last 20 years, most notably in bringing these techniques to the bedside, with all the advantages that this conveys. In fact, our capacity to study the individual organs ultrasonographically has become so finely tuned and specialized that physicians risk overlooking a more integrated examination of the patient. A comprehensive approach to invasive mechanical ventilation should include an extensive ultrasonographic assessment of cardiac function, diaphragmatic activity, and lung parenchyma. In particular, much light has been shone on the use of ultrasonographic assessment of diaphragmatic dysfunction as a predictor of weaning failure. That said, it is fundamental that the diaphragm does not receive excessive attention at the expense of other predictive factors. A simultaneous and comprehensive ultrasound examination of the cardio-pulmonary-diaphragmatic district may confer valuable predictive information regarding successful weaning from mechanical ventilation, although literature in this regard is still limited [17]. It is also important to bear in mind that other factors able to negatively influence the weaning outcome exist outside the cardio-pulmonary-diaphragmatic area (i.e., the neurological status and intra-abdominal hypertension) that cannot be evaluated with ultrasound [18, 19].

Mechanical ventilation can negatively affect the actors involved in respiratory function; for example, ventilator-induced lung injury, impaired cardiac performance, and ventilator-induced diaphragmatic dysfunction are all possible consequences. Although the concept of ‘lung protection’ during mechanical ventilation is well established, a more precise definition of a ‘protective modality’ to help preserve all the elements involved in the respiratory function is also desirable.

The purpose of this two-part review is to illustrate the main causes of unsuccessful weaning and recent advancements on the application of bedside ultrasound evaluation in these topics.

The weaning path

Weaning from mechanical ventilation starts with the institution of mechanical ventilation; from the outset, the physician assesses the patient on a daily basis to determine when they might be ready to wean. Invasive mechanical ventilation is a risky journey for a critically ill patient admitted to the intensive care unit because of acute illness, IMV itself, or a failed weaning attempt. Weaning is the process in which the breathing effort is progressively returned from the machine to the patient. This process consists of 3 key steps, Fig. 1: first, when the patient’s clinical conditions permit it, ventilation supports are progressively decreased (Ready, weaning!); second, a spontaneous breathing trial (SBT) assesses the patient’s capability to breathe autonomously (Ready, breathing!); and third, the patient is liberated from mechanical ventilation (Ready, extubation!) [20, 21]. Three main SBT strategies are described in the literature: the T-piece trial; the continuous positive airway pressure (CPAP) trial—in which the CPAP applied is equal to the previously applied positive end-expiratory pressure (PEEP); and positive support ventilation, which uses a low level of pressure support (5–8 cmH2O).

Fig. 1
figure 1

The weaning path. GCS Glasgow Coma Scale, RR respiratory rate, PEEP positive end-expiratory pressure, RSBI rapid shallow breathing index, SBT spontaneous breathing trial

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No standardized SBT method has been identified to date in terms of type or duration (30–120 min) that can ensure a higher rate of successful weaning. However, strong evidence does exist supporting the employment of a short-term (30 min) breathing trail and low-level pressure support (8 cmH2O) [22]. If the SBT is accompanied by patient discomfort (i.e., anxiety or fatigue) and/or cardio-respiratory distress (i.e., RR ≥ 35 bpm, SpO2 < 90%, HR variability > 20%, hemodynamic instability) [23], then it is considered to have failed. In the absence of such responses, the SBT is deemed successful and the patient can be considered for airway removal (Ready, extubing!). Although heterogeneity exists in the definition of successful weaning, it is generally taken as the patient’s capacity to maintain spontaneous breathing for at least 48 h following extubation [3]. As mentioned above, despite international guidelines recommending the implementation of spontaneous breathing trials [3, 9], used alone SBTs are ineffective in predicting weaning failure and reintubation [10,11,12,13]. One possible solution to this may be the implementation of integrated cardio-pulmonary-diaphragmatic assessments for the detection of predictive indicators of weaning failure.

The (he)art of weaning from mechanical ventilation

In the case of shock patients admitted to intensive care, most are resuscitated with the use of mechanical ventilation and intravenous fluid for respiratory and circulatory support. Regarding fluid management procedures in shock patients, recent literature has schematized its practice into four different phases, adopting the acronym ROSE: resuscitation (R), optimization (O), stabilization (S), and evacuation (E) [24]. Resuscitation, in some cases, could be too aggressive with the risk of fluid-overload, whereas evacuation could be too fast with the risk of hypovolemia and low cardiac output state (see below). In the first case, previous over-hydration with a positive fluid balance has been associated with death and an increased risk of failed weaning from mechanical ventilation in surviving patients [25, 26]. This could be explained by the fact that shifting the patient from mechanical ventilation (positive airway pressure) to a T-piece trial (negative airway pressure) can increase cardiac preload and unmask an underlying cardiac problem. Lemaire and colleagues were the first to demonstrate this vicious circle [8]. Potential cardiac complications can be monitored in 3 main ways: one is direct but invasive—measurement of the cardiac filing pressure by pulmonary arterial catheter (PAC); the remaining two are indirect and un-invasive—one entails the use of heart or lung ultrasound, and the other the rapid measurement of natriuretic peptide for the diagnosis of acute heart failure [27, 28].

Monitoring for cardiac complications is necessary because the sensitivity and specificity of clinical signs of acute heart failure in intensive care patients are poor [29]. PAC is reserved for specific severe cases. It is used for the diagnosis and treatment of pulmonary arterial hypertension and to guide fluid and catecholamine management; however, its routine use has been abandoned globally due to the lack of any outcome benefits [30, 31]. Ultrasound, on the other hand, has become an invaluable tool in the ICU thanks to its widespread availability at the patient’s bedside and the absence of any known side effects [28]. Moreover, the role of echocardiography in the detection of cardiac origins of weaning failure has grown significantly over the last 15 years. In particular, we now know that impaired systolic function (i.e., a small left ventricular ejection fraction [LVEF]) is less frequently associated with weaning failure in patients who failed the SBT (33% of cases) than left ventricular diastolic dysfunction (67% of cases) [28, 32, 33]. To investigate this latter condition, trans-mitral flow is interrogated using a pulse wave Doppler placed over the mitral valve in an apical four-chamber view. An early wave (E wave) is displayed on the monitor, Fig. 2a, that represents the first phase of the diastole as a passive phenomenon, limited only by the stiffness of the left ventricle or by interventricular interdependence—right ventricular push over the left ventricle via the septum. A stiff ventricle generates an elevated filling pressure, leading to pulmonary edema. In addition to trans-mitral Doppler, an E wave inpatient with sinus rhythm is followed by atrial contraction (A wave, Fig. 2a). The left ventricular preload is the sum of the E and A waves at a price of low or average left ventricular end-diastolic pressure (LVEDP) less than 12–14 mmHg. However, to estimate the LVEDP non-invasively, the E/A ratio has shown to be preload dependent and insufficient [34]. On the other hand, tissue Doppler directly measures myocardial velocities by means of the Eʹ wave in a load-independent way, Fig. 2b. The combination of the trans-mitral Doppler E wave, the tissue Doppler Eʹ wave, and the E/Eʹ ratio at the end of an SBT also seems to be capable of predicting weaning failure from diastolic dysfunction in patients with arrhythmia, immediately after and 10 min after extubation, with an area under the curve (AUC) of 0.75 and 0.86, respectively [33]. However, two main limitations of these methods need to be recognized. First, although an E/Eʹ value < 8 can accurately identify patients with a normal LVEDP, and an E/Eʹ value > 15 can identify those with an elevated LVEDP, a gray zone exists between the values of 8 and 15 [33,34,35]; second, not all intensive care clinicians possess advanced echocardiography skills; and third, LVEDP may also be elevated in cases of increased intra-abdominal pressure (see below).

Fig. 2
figure 2

Pulse wave Doppler and tissue Doppler. a Trans-mitralic Doppler; an early wave (E wave) is displayed on the monitor that represents the first phase of the diastole as a passive phenomenon, limited only by the stiffness of the left ventricle or by interventricular interdependence—right ventricular push over the left ventricle via the septum. The E wave in patient with sinus rhythm is followed by atrial contraction (A wave). b Septal tissue Doppler; tissue Doppler directly measures myocardial velocities by means of the Eʹ wave in a load-independent way. The combination of the trans-mitral Doppler E wave, the tissue Doppler Eʹ wave, and the E/Eʹ ratio at the end of an SBT also seems to be capable of predicting weaning failure from diastolic dysfunction

Full size image

In a very recent study, lung ultrasound evaluating the delta-B-lines before and after SBT in the four anterior chest wall regions was shown to provide excellent correlation with successful weaning [36]. However, the shift from mechanical to spontaneous ventilation may alone justify the appearance of such artifacts. Furthermore, distinguishing between cardiogenic and inflammatory causes of delta-B-lines may be a challenge.

Lastly, natriuretic peptides, and in particular brain natriuretic peptide (BNP), have been studied for their potential to predict weaning failure. In their study, Mekontso-Dessap et al. reported the outcome of two weaning strategies, one of which was driven by BNP level, whereas the other followed no explicit protocol [37]. They found that the BNP-guided fluid strategy was associated with increased use of diuretics, more negative fluid balance leading to a shorter mechanical ventilation time, and more ventilator-free days, but no change in ICU length-of-stay, morbidity, or mortality. The authors suggest that the changes in BNP that occur in the ICU are relatively slow and may be influenced by renal insufficiency or by the use of extracorporeal renal replacement therapy.

As previously mentioned, one-third of weaning failures with a cardiac origin depend on systolic dysfunction. In the case of cardiogenic shock, the diaphragmatic blood flow decreases and diaphragm muscular function can become compromised. In normal conditions, the diaphragmatic blood flow significantly increases with a high level of muscle contraction [38]. Indeed, the diaphragmatic blood flow is strictly dependent on cardiac output in both individuals at rest and with increased muscular activity [39]. Thus, since the diaphragm requires a high blood flow—in fact it is the skeletal muscle receiving the largest volume of blood per gram of tissue—diaphragm function may be impaired by a reduction in blood flow [40].

In patients with cardiogenic shock, respiratory muscles, which are the only muscles working during low cardiac output, shift to anaerobic metabolism resulting in lactate production even though they may be receiving a large fraction of the cardiac output [41]. As a consequence, skeletal muscles and vital organs receive less blood flow, contributing to an increased production and impaired removal of lactate [41]. The onset of acidemia and hypoxemia then leads to an increase in the work of breathing due to induced compensatory hyperventilation. Of note, whenever the muscle oxygen and nutrient demands exceed the supply, the diaphragm’s ability to generate and sustain force decreases and muscle failure ensues [42]. During cardiogenic shock, the imbalance between demand and supply is facilitated by the reduced cardiac output and diaphragmatic blood flow (see Fig. 3).

Fig. 3
figure 3

Cardiogenic shock impairing diaphragm activity. CO cardiac output, DO2 oxygen delivery, DBF diaphragm blood flow

Full size image

In 1982, Aubier and colleagues investigated the influence of respiratory muscle activity on lactic acidosis and survival time in a cardiogenic shock canine model [41]. As opposed to mechanically ventilated dogs, the spontaneously breathing ones showed higher lactate levels and lower glycogen concentration due to the increased minute ventilation and respiratory workload occurring in the first hour after the onset of cardiogenic shock; afterward, minute ventilation rapidly decreased, due to diaphragmatic fatigue, till the death of the animal [41]. Furthermore, the use of neuromuscular blocking agents in mechanically ventilated dogs may have reduced lactate production due to the absence of diaphragmatic activity [41]. Impairment of the diaphragmatic contraction process during cardiogenic shock may be the underlying mechanism responsible for ventilatory failure (see below) [43]. No studies have so far evaluated the ultrasonographic modifications of the diaphragm during the course of or after cardiogenic shock, or their impact on short- and long-term outcomes.

Diaphragm ultrasound (DUS)

The diaphragm, being the primary respiratory muscle, performs the majority of the work entailed in breathing. Diaphragm dysfunction, defined as the inability of the diaphragm to generate reasonable levels of maximal force, is an under-recognized pathological condition in critically ill patients and can render weaning from mechanical ventilation extremely difficult, resulting in protracted mechanical ventilation and prolonged intensive care unit length-of-stay [44]. The prevalence of diaphragm dysfunction in critically ill patients admitted to the intensive care unit and requiring IMV is over 60%, reaching 80% in patients requiring prolonged IMV and experiencing difficult weaning [45].

Considerable research attention has been focused on diagnosing diaphragm dysfunction over recent years, and there is strong evidence to sustain an association/correlation between diaphragm dysfunction and weaning failure [45,46,47]. The gold standard for evaluating diaphragm force is the measurement of trans-diaphragmatic pressure (Pdi) [48]. This test entails the insertion of a dedicated catheter with two balloons that measure the esophageal and gastric pressures, respectively. Diaphragm dysfunction occurs when Pdi < 11 cmH2O [48].

Another adjunctive test to assess diaphragm activity is the electrical activity of the diaphragm (EAdi) test. EAdi is performed using a dedicated esophageal catheter that has four couples of electrodes at its distal end. Besides monitoring the diaphragm, EAdi is also used to drive the ventilator with a proportional mode of ventilation, the so-called neutrally adjusted ventilator assist (NAVA). Thus, EAdi can be used to monitor the diaphragm at the bedside, whereas NAVA can exert a rehabilitative role in the case of diaphragm dysfunction.

Bedside ultrasound assessment of the diaphragm in critically ill patients can also be used to detect diaphragm dysfunction (diaphragm activity is classified as: usual, reduced, or loss of function) [49]. Although it may help the clinician make therapeutic decisions, a possible role in ventilation and weaning from mechanical ventilation has yet to be fully determined [49,50,51,52].

Two diaphragm sonographic predictors of successful weaning have been proposed [45, 49,50,51,52,53,54,55,56]:

  • Diaphragmatic excursion (DE, cm)—defined as the maximum displacement of the hemidiaphragm during breathing (Fig. 4);

    Fig. 4
    figure 4

    Diaphragm excursion. DE diaphragmatic excursion, Slope diaphragmatic contraction speed, Ttot inspiration + expiration time

    Full size image

  • Diaphragmatic thickening fraction (DTF, %)—defined as the difference between the end-inspiration thickness (Te-Insp) and end-expiration thickness (Te-exp) divided by the end-expiration thickness (Fig. 5).

    Fig. 5
    figure 5

    Diaphragm thickening fraction assessment. a, c End of inspiration thickness; b, d End of expiration thickness

    Full size image

Some studies have hypothesized that diaphragmatic excursion or liver/spleen movements could predict extubation failure. DE reflects the sum of the patient’s inspiratory activity and mechanical ventilatory support, so it only has real value when assessed during a spontaneous breathing trial. Diaphragm displacement is associated with lung volume during the inspiratory phase [57], but it does not correlate with and does not quantify the patient’s inspiratory effort [58]; furthermore, its assessment is influenced by numerous factors (see Table 1) [45]. It should also be noted that diaphragmatic excursion can be influenced by PEEP and levels of ventilator support during mechanical ventilation [55]: by increasing lung expiratory volumes, higher levels of PEEP lower the diaphragmatic domes, resulting in a decreased diaphragmatic excursion; during assisted ventilation, diaphragmatic excursion results from ventilator support plus the patient’s inspiratory efforts [56]. Therefore, only diaphragm thickening can provide a reliable indicator of diaphragm function during assisted mechanical ventilation [57].

Table 1 Most common bias to consider before an ultrasound assessment of diaphragmatic function
Full size table

DTF, also known as the “ejection fraction” of the diaphragm, reflects active diaphragm contraction and inspiratory effort [59, 60]. It is associated with ICU length-of-stay, the duration of mechanical ventilation, and mortality [59, 60]. Whereas diaphragmatic excursion is not able to evaluate the degree of contractile activity of the diaphragm, DTF, on the other hand, has this capacity and can be used both in IMV (assisted or supported) and during an SBT [45].

A number of studies have investigated these two parameters, either individually or in combination, with the aim of identifying cut-off values as predictors of successful weaning (see Table 2) [43, 53, 61,62,63,64,65,66,67,68,69,70,71,72,73]. However, the results have been heterogeneous in terms of outcome results and cut-off values due to differences in study protocol design and outcome designation.

Table 2 Recent literature on predictive value of DUS
Full size table

Although bilateral anterior magnetic stimulation of the phrenic nerves is considered the gold standard for the assessment of diaphragm function [48], it requires high expertise and expensive machines. By contrast, ultrasonography is a widely available non-invasive tool that provides both structural and functional information about the muscle. Regarding diaphragm evaluation by ultrasonography and the therapeutic and prognostic implications of this measure, more studies are needed to evaluate the accuracy of ultrasound measures of the diaphragm and their therapeutic and prognostic implications and applicability in mechanical ventilation (i.e., diaphragm-protective ventilation and weaning from IMV). Further research is also required to standardize the measurement techniques and teaching programs [74].

Conclusions

In the first section of this review, two of the five factors involved in successful weaning from mechanical ventilation were addressed. The remaining components will be discussed in the second section of this review entitled: “Mechanical ventilation weaning issues can be counted on the fingers of just one hand: part 2”.

Availability of data and materials

Not applicable.

Abbreviations

IMV:

Invasive mechanical ventilation

ICU:

Intensive care unit

SBT:

Spontaneous breathing trial

PEEP:

Positive end-expiratory pressure

GCS:

Glasgow Coma Scale

RSBI:

Rapid shallow breathing index

PAC:

Pulmonary artery catheter

LVEF:

Left ventricular ejection fraction

LVEDP:

Left ventricular end-diastolic pressure

BNP:

Brain natriuretic peptide

DUS:

Diaphragm ultrasound

Pdi:

Trans-diaphragmatic pressure

DE:

Diaphragmatic excursion

DTF:

Diaphragm thickening fraction

Te-insp:

End-inspiration thickness

Te-exp:

End expiration thickness

EAdi:

Electrical activity of the diaphragm

NAVA:

Neurally adjusted ventilator assist

References

  1. Béduneau G, Pham T, Schortgen F, Piquilloud L, Zogheib E, Jonas M, Grelon F, Runge I, Terzi N, Grangé S, Barberet G, Guitard PG, Frat JP, Constan A, Chretien JM, Mancebo J, Mercat A, Richard JM, Brochard L, WIND (Weaning according to a New Definition) Study Group and the REVA (Réseau Européen de Recherche en Ventilation Artificielle) Network (2017) Epidemiology of weaning outcome according to a new definition. The WIND study. Am J Respir Crit Care Med 195:772–783. https://doi.org/10.1164/rccm.201602-0320OC

    Article  PubMed  Google Scholar 

  2. Thille AW, Cortés-Puch I, Esteban A (2013) Weaning from the ventilator and extubation in ICU. Curr Opin Crit Care 19:57–64. https://doi.org/10.1097/MCC.0b013e32835c5095

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  4. Peñuelas O, Frutos-Vivar F, Fernández C, Ventila Group et al (2011) Characteristics and outcomes of ventilated patients according to time to liberation from mechanical ventilation. Am J Respir Crit Care Med 184:430–437. https://doi.org/10.1164/rccm.201011-1887oc

    Article  PubMed  Google Scholar 

  5. Levine S, Nguyen T, Taylor N, Friscia ME, Budak MT, Rothenberg P, Zhu J, Sachdeva R, Sonnad S, Kaiser LR, Rubinstein NA, Powers SKSJ (2008) Rapid disuse atrophy of diaphragm fibers in mechanically ventilated humans. N Engl J Med 358:1327–1335

    Article  CAS  Google Scholar 

  6. Caroleo S, Agnello F, Abdallah K, Santangelo E, Amantea B (2007) Weaning from mechanical ventilation: an open issue. Minerva Anestesiol 73:417–427

    CAS  PubMed  Google Scholar 

  7. Bruni A, Garofalo E, Pelaia C, Messina A, Cammarota G, Murabito P, Corrado S, Vetrugno L, Longhini F, Navalesi P (2019) Patient-ventilator asynchrony in adult critically ill patients. Minerva Anestesiol 85:676–688. https://doi.org/10.23736/S0375-9393.19.13436-0

    Article  PubMed  Google Scholar 

  8. Lemaire F, Teboul JL, Cinotti L, Giotto G, Abrouk F, Steg G, Macquin-Mavier I, Zapol WM (1988) Acute left ventricular dysfunction during unsuccessful weaning from mechanical ventilation. Anesthesiology 69:171–179

    Article  CAS  Google Scholar 

  9. Ouellette DR, Patel S, Girard TD, Morris PE, Schmidt GA, Truwit JD, Alhazzani W, Burns SM, Epstein SK, Esteban A, Fan E, Ferrer M, Fraser GL, Gong MN, Hough CL, Mehta S, Nanchal R, Pawlik AJ, Schweickert WD, Sessler CN, Strøm T, Kress JP (2017) Liberation from mechanical ventilation in critically ill adults: an Official American College of Chest Physicians/American Thoracic Society clinical practice guideline: inspiratory pressure augmentation during spontaneous breathing trials, protocols minimizing sedation, and noninvasive ventilation immediately after extubation. Chest 151:166–180. https://doi.org/10.1016/j.chest.2016.10.036

    Article  PubMed  Google Scholar 

  10. Esteban A, Alia I, Gordo F, Fernandex R, Solsona J, Vallverdu 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 (1997) Extubation outcome after spontaneous breathing trials with t-tube or pressure support ventilation. Am J Respir Crit Care Med 156:459–465

    Article  CAS  Google Scholar 

  11. Esteban A, Alía I, Tobin MJ, Gil A, Gordo F, Vallverdú I, Blanch L, Bonet A, Vázquez A, de Pablo R, Torres A, de La Cal MA, Macías S (1999) Effect of spontaneous breathing trial duration on outcome of attempts to discontinue mechanical ventilation. Am J Respir Crit Care Med 159:512–518

    Article  CAS  Google Scholar 

  12. Frutos-Vivar F, Ferguson ND, Esteban A, Epstein SK, Arabi Y, Apezteguía C, González M, Hill NS, Nava S, D’Empaire G, Anzueto A (2006) Risk factors for extubation failure in patients following a successful spontaneous breathing trial. Chest 130:1664–1671

    Article  Google Scholar 

  13. Ouanes-Besbes L, Dachraoui F, Ouanes I, Bouneb R, Jalloul F, Dlala M, Najjar MF, Abroug F (2012) NT-proBNP levels at spontaneous breathing trial help in the prediction of post-extubation respiratory distress. Intensive Care Med 38:788–795

    Article  Google Scholar 

  14. Meade M, Guyatt G, Cook D, Griffith L, Sinuff T, Kergl C, Mancebo J, Esteban A, Epstein S (2001) Predicting success in weaning from mechanical ventilation. Chest 120:400S–424S

    Article  CAS  Google Scholar 

  15. Conti G, Montini L, Pennisi MA, Cavaliere F, Arcangeli A, Bocci MG, Proietti R, Antonelli M (2004) A prospective, blinded evaluation of indexes proposed to predict weaning from mechanical ventilation. Intensive Care Med 30:830–836

    Article  Google Scholar 

  16. Thille AW, Richard JC, Brochard L (2013) The decision to extubate in the intensive care unit. Am J Respir Crit Care Med 187:1294–1302. https://doi.org/10.1164/rccm.201208-1523CI

    Article  PubMed  Google Scholar 

  17. Silva S, Ait Aissa D, Cocquet P, Hoarau L, Ruiz J, Ferre F, Rousset D, Mora M, Mari A, Fourcade O, Riu B, Jaber S, Bataille B (2017) Combined thoracic ultrasound assessment during a successful weaning trial predicts postextubation distress. Anesthesiology 127:666–674. https://doi.org/10.1097/ALN.0000000000001773

    Article  PubMed  Google Scholar 

  18. Aybar Türkoğlu M, Topeli Iskit A (2008) Ventilator-associated pneumonia caused by high risk microorganisms: a matched case-control study. Tuberk Toraks 56:139–149

    PubMed  Google Scholar 

  19. Soler Morejón Cde D, Tamargo Barbeito TO (2012) Effect of mechanical ventilation on intra-abdominal pressure in critically ill patients without other risk factors for abdominal hypertension: an observational multicenter epidemiological study. Ann Intensive Care 2(Suppl 1):S22. https://doi.org/10.1186/2110-5820-2-S1-S22

    Article  PubMed  Google Scholar 

  20. Namen AM, Ely EW, Tatter SB, Case LD, Lucia MA, Smith A, Landry S, Wilson JA, Glazier SS, Branch CL, Kelly DL, Bowton DL, Haponik EF (2001) Predictors of successful extubation in neurosurgical patients. Am J Respir Crit Care Med 163:658–664

    Article  CAS  Google Scholar 

  21. Peñuelas Ó, Thille AW, Esteban A (2015) Discontinuation of ventilatory support: new solutions to old dilemmas. Curr Opin Crit Care 21:74–81. https://doi.org/10.1097/MCC.0000000000000169

    Article  PubMed  Google Scholar 

  22. Burns KEA, Soliman I, Adhikari NKJ, Zwein A, Wong JTY, Gomez-Builes C, Pellegrini JA, Chen L, Rittayamai N, Sklar M, Brochard LJ, Friedrich JO (2017) Trials directly comparing alternative spontaneous breathing trial techniques: a systematic review and meta-analysis. Crit Care 21:127. https://doi.org/10.1186/s13054-017-1698-x

    Article  PubMed  PubMed Central  Google Scholar 

  23. MacIntyre NR (2013) The ventilator discontinuation process: an expanding evidence base. Respir Care 58:1074–1086. https://doi.org/10.4187/respcare.02284

    Article  PubMed  Google Scholar 

  24. Malbrain MLNG, Van Regenmortel N, Saugel B, De Tavernier B, Van Gaal PJ, Joannes-Boyau O, Teboul JL, Rice TW, Mythen M, Monnet X (2018) Principles of fluid management and stewardship in septic shock: it is time to consider the four D’s and the four phases of fluid therapy. Ann Intensive Care 8:66. https://doi.org/10.1186/s13613-018-0402-x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Sakr Y, Rubatto Birri PN, Kotfis K, Nanchal R, Shah B, Kluge S, Schroeder ME, Marshall JC, Vincent JL, Intensive Care Over Nations Investigators (2017) Higher fluid balance increases the risk of death from sepsis: results from a large international audit. Crit Care Med 45:386–394. https://doi.org/10.1097/CCM.0000000000002189

    Article  PubMed  Google Scholar 

  26. Boyd JH, Forbes J, Nakada TA, Walley KR, Russell JA (2011) Fluid resuscitation in septic shock: a positive fluid balance and elevated central venous pressure are associated with increased mortality. Crit Care Med 39:259–265. https://doi.org/10.1097/CCM.0b013e3181feeb15

    Article  PubMed  Google Scholar 

  27. Franchi F, Vetrugno L, Scolletta S (2017) Echocardiography to guide fluid therapy in critically ill patients: check the heart and take a quick look at the lungs. J Thorac Dis 9:477–481. https://doi.org/10.21037/jtd.2017.02.94

    Article  PubMed  PubMed Central  Google Scholar 

  28. Vignon P, Repessé X, Viellard-Baron A, Maury E (2016) Critical care ultrasonography in acute respiratory failure. Crit Care 20:228. https://doi.org/10.1186/s13054-016-1400-8

    Article  PubMed  PubMed Central  Google Scholar 

  29. Epstein SK (1995) Etiology of extubation failure and the predictive value of the rapid shallow breathing index. Am J Resp Crit Care Med 152:545–549

    Article  CAS  Google Scholar 

  30. Pandey A, Khera R, Kumar N, Golwala H, Girotra S, Fonarow GC (2016) Use of pulmonary arterial catheterization in US patients with failure, 2001–2012. JAMA Intern Med 176:129–132. https://doi.org/10.1001/jamainternmed.2015.6190

    Article  PubMed  PubMed Central  Google Scholar 

  31. Della Rocca G, Vetrugno L, Tripi G, Deana C, Barbariol F, Pompei L (2014) Liberal or restricted fluid administration: are we ready for a proposal of a restricted intraoperative approach? BMC Anesthesiol 14:62. https://doi.org/10.1186/1471-2253-14-62

    Article  PubMed  PubMed Central  Google Scholar 

  32. Lamia B, Maizel J, Ochagavia A, Chemla D, Osman D, Richard C, Teboul JL (2009) Echocardiographic diagnosis of pulmonary artery occlusion pressure elevation during weaning from mechanical ventilation. Crit Care Med 37:1696–1701. https://doi.org/10.1097/CCM.0b013e31819f13d0

    Article  PubMed  Google Scholar 

  33. Ommen SR, Nishimura RA, Appleton CP, Miller FA, Oh JK, Redfield MM, Tajik AJ (2000) Clinical utility of Doppler echocardiography and tissue doppler imaging in the estimation of left ventricular filling pressures: a comparative simultaneous Doppler-catheterization study. Circulation 102:1788–1794

    Article  CAS  Google Scholar 

  34. Moschietto S, Doyen D, Grech L, Dellamonica J, Hyvernat H, Bernardin G (2012) Transthoracic echocardiography with Doppler tissue imaging predicts weaning failure from mechanical ventilation: evolution of the left ventricle relaxation rate during a spontaneous breathing trial is the key factor in weaning outcome. Crit Care 16:R81. https://doi.org/10.1186/cc11339

    Article  PubMed  PubMed Central  Google Scholar 

  35. Nagueh S, Smiseth O, Appleton C, Byrd B, Dokainish H, Edvardsen T, Flachskampf FA, Gillebert TC, Klein AL, Lancellotti P, Marino P, Oh JK, Popescu BA, Waggoner AD (2016) Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr 29:277–314. https://doi.org/10.1016/j.echo.2016.01.011

    Article  PubMed  Google Scholar 

  36. Ferré A, Guillot M, Lichtenstein D, Mezière G, Richard C, Teboul JL, Monnet X (2019) Lung ultrasound allows the diagnosis of weaning-induced pulmonary oedema. Intensive Care Med 45:601–608. https://doi.org/10.1007/s00134-019-05573-6

    Article  PubMed  Google Scholar 

  37. Mekontso Dessap A, Roche-Campo F, Kouatchet A, Tomicic V, Beduneau G, Sonneville R, Cabello B, Jaber S, Azoulay E, Castanares-Zapatero D, Devaquet J, Lellouche F, Katsahian S, Brochard L (2012) Natriuretic peptide-driven fluid management during ventilator weaning: a randomized controlled trial. Am J Respir Crit Care Med 186:1256–1263. https://doi.org/10.1164/rccm.201205-0939OC

    Article  CAS  PubMed  Google Scholar 

  38. Robertson CH Jr, Foster GM, Johnson RL Jr (1977) The relationship of respiratory failure to the oxygen consumption of, lactate production by, and distribution of blood flow among respiratory muscles during increasing inspiratory resistance. J Clin Investig 59:31–42

    Article  CAS  Google Scholar 

  39. Rochester DF, Pradel-Guena H (1973) Measurement of diaphragmatic blood flow in dogs from Xenon-133 clearance. J Appl Physiol 34:68–74

    Article  CAS  Google Scholar 

  40. Monod H, Scherrer J (1965) The work capacity of a synergic muscular group. Ergonomics 8:329–338

    Article  Google Scholar 

  41. Aubier M, Viires N, Syllie G, Mozes R, Roussos CS (1982) Respiratory muscle contribution to lactic acidosis in low cardiac output. Am Rev Respir Dis 126:648–652

    CAS  PubMed  Google Scholar 

  42. Macklem PT, Roussos CS (1977) Respiratory muscle fatigue: a cause of respiratory failure? Clin Sci Mol Med 53:419–422

    CAS  PubMed  Google Scholar 

  43. Kim WY, Suh HJ, Hong SB, Koh Y, Lim CM (2011) Diaphragm dysfunction assessed by ultrasonography: influence on weaning from mechanical ventilation. Crit Care Med 39:2627–2630. https://doi.org/10.1097/CCM.0b013e3182266408

    Article  PubMed  Google Scholar 

  44. Powers SK, Kavazis AN, Levine S (2009) Prolonged mechanical ventilation alters diaphragmatic structure and function. Crit Care Med 37:S347–S353. https://doi.org/10.1097/CCM.0b013e3181b6e760

    Article  PubMed  PubMed Central  Google Scholar 

  45. Vetrugno L, Guadagnin GM, Barbariol F, Langiano N, Zangrillo A, Bove T (2019) Ultrasound imaging for diaphragm dysfunction: a narrative literature review. J Cardiothorac Vasc Anesth 33:2525–2536. https://doi.org/10.1053/j.jvca.2019.01.003

    Article  PubMed  Google Scholar 

  46. Dres M, Dubé BP, Mayaux J, Delemazure J, Reuter D, Brochard L, Similowski T, Demoule A (2017) Coexistence and impact of limb muscle and diaphragm weakness at time of liberation from mechanical ventilation in medical intensive care unit patients. Am J Respir Crit Care Med 195:57–66. https://doi.org/10.1164/rccm.201602-0367OC

    Article  PubMed  Google Scholar 

  47. Lerolle N, Guérot E, Dimassi S, Zegdi R, Faisy C, Fagon JY, Diehl JL (2009) Ultrasonographic diagnostic criterion for severe diaphragmatic dysfunction after cardiac surgery. Chest 135:401–407. https://doi.org/10.1378/chest.08-1531

    Article  PubMed  Google Scholar 

  48. Watson AC, Hughes PD, Louise Harris M, Hart N, Ware RJ, Wendon J, Green M, Moxham J (2001) Measurement of twitch transdiaphragmatic, esophageal, and endotracheal tube pressure with bilateral anterolateral magnetic phrenic nerve stimulation in patients in the intensive care unit. Crit Care Med 29:1325–1331

    Article  CAS  Google Scholar 

  49. Dubé BP, Dres M (2016) Diaphragm dysfunction: diagnostic approaches and management strategies. J Clin Med 5:E113

    Article  Google Scholar 

  50. Bignami E, Guarnieri M, Saglietti F, Ramelli A, Vetrugno L (2018) Diaphragmatic dysfunction following cardiac surgery: is there a role for pulmonary ultrasound? J Cardiothorac Vasc Anesth 32:e6–e7. https://doi.org/10.1053/j.jvca.2018.04.054

    Article  PubMed  Google Scholar 

  51. Barbariol F, Vetrugno L, Pompei L, De Flaviis A, Rocca GD (2015) Point-of-care ultrasound of the diaphragm in a liver transplant patient with acute respiratory failure. Crit Ultrasound J 7:3. https://doi.org/10.1186/s13089-015-0021-9

    Article  PubMed  PubMed Central  Google Scholar 

  52. Cammarota G, Sguazzotti I, Zanoni M, Messina A, Colombo D, Vignazia GL, Vetrugno L, Garofalo E, Bruni A, Navalesi P, Avanzi GC, Della Corte F, Volpicelli G, Vaschetto R (2019) Diaphragmatic ultrasound assessment in subjects with acute hypercapnic respiratory failure admitted to the emergency department. Respir Care. https://doi.org/10.4187/respcare.06803

    Article  PubMed  Google Scholar 

  53. Vivier E, Muller M, Putegnat JB, Steyer J, Barrau S, Boissier F, Bourdin G, Mekontso-Dessap A, Levrat A, Pommier C, Thille AW (2019) Inability of diaphragm ultrasound to predict extubation failure: a multicenter study. Chest 155:1131–1139. https://doi.org/10.1016/j.chest.2019.03.004

    Article  PubMed  Google Scholar 

  54. Boussuges A, Gole Y, Blanc P (2009) Diaphragmatic motion studied by M-mode ultrasonography: methods, reproducibility, and normal values. Chest 135:391–400. https://doi.org/10.1378/chest.08-1541

    Article  PubMed  Google Scholar 

  55. Summerhill EM, El-Sameed YA, Glidden TJ, McCool FD (2008) Monitoring recovery from diaphragm paralysis with ultrasound. Chest 133:737–743. https://doi.org/10.1378/chest.07-2200

    Article  PubMed  Google Scholar 

  56. Wait JL, Nahormek PA, Yost WT, Rochester DP (1989) Diaphragmatic thickness-lung volume relationship in vivo. J Appl Physiol 67:1560–1568. https://doi.org/10.1152/jappl.1989.67.4.1560

    Article  CAS  PubMed  Google Scholar 

  57. Cohen E, Mier A, Heywood P, Murphy K, Boultbee J, Guz A (1994) Excursion-volume relation of the right hemidiaphragm measured by ultrasonography and respiratory airflow measurements. Thorax 49:885–889

    Article  CAS  Google Scholar 

  58. Umbrello M, Formenti P, Longhi D, Galimberti A, Piva I, Pezzi A, Mistraletti G, Marini JJ, Iapichino G (2015) Diaphragm ultrasound as indicator of respiratory effort in critically ill patients undergoing assisted mechanical ventilation: a pilot clinical study. Crit Care 19:161. https://doi.org/10.1186/s13054-015-0894-9

    Article  PubMed  PubMed Central  Google Scholar 

  59. Goligher EC, Fan E, Herridge MS, Murray A, Vorona S, Brace D, Rittayamai N, Lanys A, Tomlinson G, Singh JM, Bolz SS, Rubenfeld GD, Kavanagh BP, Brochard LJ, Ferguson ND (2015) Evolution of diaphragm thickness during mechanical ventilation: impact of inspiratory effort. Am J Respir Crit Care Med 192:1080–1088

    Article  Google Scholar 

  60. Dubé BP, Dres M, Mayaux J, Demiri S, Similowski T, Demoule A (2017) Ultrasound evaluation of diaphragm function in mechanically ventilated patients: comparison to phrenic stimulation and prognostic implications. Thorax 72:811–818. https://doi.org/10.1136/thoraxjnl-2016-209459

    Article  PubMed  Google Scholar 

  61. Jiang JR, Tsai TH, Jerng JS, Yu CJ, Wu HD, Yang PC (2004) Ultrasonographic evaluation of liver/spleen movements and extubation outcome. Chest 126:179–185

    Article  Google Scholar 

  62. Spadaro S, Grasso S, Mauri T, Dalla Corte F, Alvisi V, Ragazzi R, Cricca V, Biondi G, Di Mussi R, Marangoni E, Volta CA (2016) Can diaphragmatic ultrasonography performed during the T-tube trial predict weaning failure? The role of diaphragmatic rapid shallow breathing index. Crit Care 20:305

    Article  Google Scholar 

  63. Luo L, Li Y, Chen X, Sun B, Li W, Gu W, Wang S, Zhao S, Lv Y, Chen M, Xia J, Sui F, Mei X, Shi H, Tong Z (2017) Different effects of cardiac and diaphragm function assessed by ultrasound on extubation outcomes in difficult-to-wean patients: a cohort study. BMC Pulm Med 17:161. https://doi.org/10.1186/s12890-017-0501-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Garrido-Aguirre E, Ñamendys-Silva SA, del Moral OR, Cortés-Soto CA, Romero-González JP (2019) Diaphragmatic ultrasonography, a novel approach in critical care. A proposal for a new weaning index. Ultrasound Q. https://doi.org/10.1097/ruq.0000000000000442(Volume publish ahead of print)

    Article  PubMed  Google Scholar 

  65. Palkar A, Narasimhan M, Greenberg H, Singh K, Koenig S, Mayo P, Gottesman E (2018) Diaphragm excursion-time index. A new parameter using ultrasonography to predict extubation outcome. Chest 153:1213–1220. https://doi.org/10.1016/j.chest.2018.01.007

    Article  PubMed  Google Scholar 

  66. Carrie C, Gisbert-Mora C, Bonnardel E, Gauche B, Biais M, Vargas F, Hilbert G (2017) Ultrasonographic diaphragmatic excursion is inaccurate and not better than the MRC score for predicting weaning-failure in mechanically ventilated patients. Anaesth Crit Care Pain Med 36:9–14. https://doi.org/10.1016/j.accpm.2016.05.009

    Article  PubMed  Google Scholar 

  67. Jung B, Moury PH, Mahul M, de Jong A, Galia F, Prades A, Albaladejo P, Chanques G, Molinari N, Jaber S (2016) Diaphragmatic dysfunction in patients with ICU-acquired weakness and its impact on extubation failure. Intensive Care Med 42:853–861. https://doi.org/10.1007/s00134-015-4125-2

    Article  PubMed  Google Scholar 

  68. Samanta S, Singh RK, Baronia AK, Poddar B, Azim A, Gurjar M (2017) Diaphragm thickening fraction to predict weaning—a prospective exploratory study. J Intensive Care 5:62. https://doi.org/10.1186/s40560-017-0258-4

    Article  PubMed  PubMed Central  Google Scholar 

  69. Blumhof S, Wheeler D, Thomas K, McCool FD, Mora J (2016) Change in diaphragmatic thickness during the respiratory cycle predicts extubation success at various levels of pressure support ventilation. Lung 194:519–525. https://doi.org/10.1007/s00408-016-9911-2

    Article  PubMed  Google Scholar 

  70. DiNino E, Gartman EJ, Sethi JM, McCool FD (2014) Diaphragm ultrasound as a predictor of successful extubation from mechanical ventilation. Thorax 69:423–427. https://doi.org/10.1136/thoraxjnl-2013-204111

    Article  PubMed  Google Scholar 

  71. Farghaly S, Hasan AA (2017) Diaphragm ultrasound as a new method to predict extubation outcome in mechanically ventilated patients. Aust Crit Care 30:37–43. https://doi.org/10.1016/j.aucc.2016.03.004

    Article  PubMed  Google Scholar 

  72. Zambon M, Greco M, Bocchino S, Cabrini L, Beccaria PF, Zangrillo A (2017) Assessment of diaphragmatic dysfunction in the critically ill patient with ultrasound: a systematic review. Intensive Care Med 43:29–38. https://doi.org/10.1007/s00134-016-4524-z

    Article  PubMed  Google Scholar 

  73. Llamas-Álvarez AM, Tenza-Lozano EM, Latour-Pérez J (2017) Diaphragm and lung ultrasound to predict weaning outcome: systematic review and meta-analysis. Chest 152:1140–1150. https://doi.org/10.1016/j.chest.2017.08.028

    Article  PubMed  Google Scholar 

  74. Garofalo E, Bruni A, Pelaia C, Landoni G, Zangrillo A, Antonelli M, Conti G, Biasucci DG, Mercurio G, Cortegiani A, Giarratano A, Vetrugno L, Bove T, Forfori F, Corradi F, Vaschetto R, Cammarota G, Ma A, Murabito P, Bellini V, Zambon M, Longhini F, Navalesi P, Bignami E (2019) Comparisons of two diaphragm ultrasound-teaching programs: a multicenter randomized controlled educational study. Ultrasound J 11:21. https://doi.org/10.1186/s13089-019-0137-4

    Article  PubMed  PubMed Central  Google Scholar 

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  1. Luigi Vetrugno and Giovanni Maria Guadagnin contributed equally to this work.

Authors and Affiliations

  1. Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, Via Colugna 50, 33100, Udine, Italy

    Luigi Vetrugno, Giovanni Maria Guadagnin, Alessandro Brussa, Daniele Orso & Tiziana Bove

  2. Intensive Care Unit, Department of Medical and Surgical Sciences, University Hospital Mater Domini, Magna Graecia University, Catanzaro, Italy

    Eugenio Garofalo, Andrea Bruni & Federico Longhini

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Vetrugno, L., Guadagnin, G.M., Brussa, A. et al. Mechanical ventilation weaning issues can be counted on the fingers of just one hand: part 1. Ultrasound J 12, 9 (2020). https://doi.org/10.1186/s13089-020-00161-y

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