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| Name | Class |
|---|---|
| Budapest University of Technology and Economics | OTHER |
| Hochschule Furtwangen University | OTHER |
| Szeged University | OTHER |
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Diagnosis and treatment of the hypoxic respiratory failure induced by severe atelectasis with the background of acute lung injury is challenging for the intensive care physicians. Mechanical ventilation commenced with grave hypoxemia is one of the most common organ support therapies applied in the critically ill. However, respiratory therapy can improve gas exchange until the elimination of the damaging pathomechanism and the regeneration of the lung tissue, mechanical ventilation is a double edge sword. Mechanical ventilation induced volu- and barotrauma with the cyclic shearing forces can evoke further lung injury on its own.
Computer tomography (CT) of the chest is still the gold standard in the diagnostic protocols of the hypoxemic respiratory failure. However, CT can reveal scans not just about the whole bilateral lung parenchyma but also about the mediastinal organs, it requires the transportation of the critically ill and exposes the patient to extra radiation. At the same time the reproducibility of the CT is poor and it offers just a snapshot about the ongoing progression of the disease. On the contrary electric impedance tomography (EIT) provides a real time, dynamic and easily reproducible information about one lung segment at the bed side. At the same time these picture imaging techniques are supplemented by the pressure parameters and lung mechanical properties assigned and displayed by the ventilator. The latter can be ameliorated by the measurement of the intrapleural pressure. Through with this extra information transpulmonary pressure can be estimated what directly effects the alveoli.
Unfortunately, parameters measured by the respirator provide only a global status about the state of the lungs. On the contrary acute lung injury is characterized by focal injuries of the lung parenchyma where undamaged alveoli take part in the gas exchange next to the impaired ones. EIT can aim the identification of these lesions by the assessment of the focal mechanical properties when parameters measured by the ventilator are also involved. The latter one can not just take a role in the diagnosis but with the support of it the effectivity of the alveolar recruitment can be estimated and optimal ventilator parameters can be determined preventing further damage caused by the mechanical stress.
Following PEEP increment and decrement alveolar recruitment manoeuvre optimal PEEP would be assessed by transpulmonary pressure measurement to keep open up the lung. Physicians are lack of data at which pressure the most alveoli are recruited and if 40 cmH2O of pressure is really required for complete recruitment. By CT scan of chest and continuous EIT measurement rate of recruitment would be assessed.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Recruitment manoeuvre | Experimental |
|
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Recruitment manoeuvre | Procedure | PEEP increment and decrement |
|
| Measure | Description | Time Frame |
|---|---|---|
| Highest level of transpulmonary pressure to open up the lung | Estimation of the highest level of transpulmonary pressure (cmH2O) during the increment PEEP phase when the end-expiratory lung volume (ml) can not be increased further | 1 minute |
| Changes between the two PEEP level (titrated by transpulmonary pressure measurement vs. optimal PEEP by EIT) estimated in cmH2O control | PEEP settings by keeping the transpulmonary pressure around 1 cmH2O at an end-expiratory hold manoeuvre really represents the most optimal circumstances by electric impedance tomography as well. Optimal circumstances by EIT would be represented by at the crossover point of hyperdistension/collapse % curves plotted versus PEEP. Difference between the two PEEP level (titrated by transpulmonary pressure measurement vs. optimal PEEP by EIT described previously) would be estimated (cmH2O). | 15 minutes |
| Measure | Description | Time Frame |
|---|---|---|
| Gas exchange | Change in PaO2 (mmHg) following recruitment | 30 minutes |
| Plateau pressure | Change in plateau pressure (cmH2O) under volume control ventilation mode |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| AndrĂ¡s Lovas, MD, PhD | Contact | +3662545168 | lovas.andras@med.u-szeged.hu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Szeged, Department of Anesthesiology and Intensive Therapy | Recruiting | Szeged | CsongrĂ¡d megye | 6725 | Hungary |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28899408 | Result | Chiumello D, Brochard L, Marini JJ, Slutsky AS, Mancebo J, Ranieri VM, Thompson BT, Papazian L, Schultz MJ, Amato M, Gattinoni L, Mercat A, Pesenti A, Talmor D, Vincent JL. Respiratory support in patients with acute respiratory distress syndrome: an expert opinion. Crit Care. 2017 Sep 12;21(1):240. doi: 10.1186/s13054-017-1820-0. | |
| 31200734 |
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| ID | Term |
|---|---|
| D012128 | Respiratory Distress Syndrome |
| ID | Term |
|---|---|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D012120 | Respiration Disorders |
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| 30 minutes |
| Transpulmonary pressure | Change in transpulmonary pressure (cmH2O) following intervention | 30 minutes |
| Estimation in recruitability | Change in end expiratory lung volume (ml) following intervention | 30 minutes |
| Antero-to-posterior ventilation ratio | Change in antero-to-posterior ventilation ratio (%) following intervention | 30 minutes |
| Center of ventilation | Change in center of ventilation (%) following intervention | 30 minutes |
| Global inhomogeneity index | Change in global inhomogeneity index (%) following intervention | 30 minutes |
| Marini JJ. Evolving concepts for safer ventilation. Crit Care. 2019 Jun 14;23(Suppl 1):114. doi: 10.1186/s13054-019-2406-9. |
| 27033882 | Result | Pesenti A, Musch G, Lichtenstein D, Mojoli F, Amato MBP, Cinnella G, Gattinoni L, Quintel M. Imaging in acute respiratory distress syndrome. Intensive Care Med. 2016 May;42(5):686-698. doi: 10.1007/s00134-016-4328-1. Epub 2016 Mar 31. |
| 27596161 | Result | Frerichs I, Amato MB, van Kaam AH, Tingay DG, Zhao Z, Grychtol B, Bodenstein M, Gagnon H, Bohm SH, Teschner E, Stenqvist O, Mauri T, Torsani V, Camporota L, Schibler A, Wolf GK, Gommers D, Leonhardt S, Adler A; TREND study group. Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group. Thorax. 2017 Jan;72(1):83-93. doi: 10.1136/thoraxjnl-2016-208357. Epub 2016 Sep 5. |
| 29601320 | Result | Yoshida T, Brochard L. Esophageal pressure monitoring: why, when and how? Curr Opin Crit Care. 2018 Jun;24(3):216-222. doi: 10.1097/MCC.0000000000000494. |
| 19255741 | Result | Costa EL, Borges JB, Melo A, Suarez-Sipmann F, Toufen C Jr, Bohm SH, Amato MB. Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography. Intensive Care Med. 2009 Jun;35(6):1132-7. doi: 10.1007/s00134-009-1447-y. Epub 2009 Mar 3. |
| 26682219 | Result | Lovas A, Szakmany T. Haemodynamic Effects of Lung Recruitment Manoeuvres. Biomed Res Int. 2015;2015:478970. doi: 10.1155/2015/478970. Epub 2015 Nov 22. |