Variation of poorly ventilated lung units (silent spaces) measured by electrical impedance tomography to dynamically assess recruitment

Savino Spadaro, Tommaso Mauri, Stephan H Böhm, Gaetano Scaramuzzo, Cecilia Turrini, Andreas D Waldmann, Riccardo Ragazzi, Antonio Pesenti, Carlo Alberto Volta, Savino Spadaro, Tommaso Mauri, Stephan H Böhm, Gaetano Scaramuzzo, Cecilia Turrini, Andreas D Waldmann, Riccardo Ragazzi, Antonio Pesenti, Carlo Alberto Volta

Abstract

Background: Assessing alveolar recruitment at different positive end-expiratory pressure (PEEP) levels is a major clinical and research interest because protective ventilation implies opening the lung without inducing overdistention. The pressure-volume (P-V) curve is a validated method of assessing recruitment but reflects global characteristics, and changes at the regional level may remain undetected. The aim of the present study was to compare, in intubated patients with acute hypoxemic respiratory failure (AHRF) and acute respiratory distress syndrome (ARDS), lung recruitment measured by P-V curve analysis, with dynamic changes in poorly ventilated units of the dorsal lung (dependent silent spaces [DSSs]) assessed by electrical impedance tomography (EIT). We hypothesized that DSSs might represent a dynamic bedside measure of recruitment.

Methods: We carried out a prospective interventional study of 14 patients with AHRF and ARDS admitted to the intensive care unit undergoing mechanical ventilation. Each patient underwent an incremental/decremental PEEP trial that included five consecutive phases: PEEP 5 and 10 cmH2O, recruitment maneuver + PEEP 15 cmH2O, then PEEP 10 and 5 cmH2O again. We measured, at the end of each phase, recruitment from previous PEEP using the P-V curve method, and changes in DSS were continuously monitored by EIT.

Results: PEEP changes induced alveolar recruitment as assessed by the P-V curve method and changes in the amount of DSS (p < 0.001). Recruited volume measured by the P-V curves significantly correlated with the change in DSS (rs = 0.734, p < 0.001). Regional compliance of the dependent lung increased significantly with rising PEEP (median PEEP 5 cmH2O = 11.9 [IQR 10.4-16.7] ml/cmH2O, PEEP 15 cmH2O = 19.1 [14.2-21.3] ml/cmH2O; p < 0.001), whereas regional compliance of the nondependent lung decreased from PEEP 5 cmH2O to PEEP 15 cmH2O (PEEP 5 cmH2O = 25.3 [21.3-30.4] ml/cmH2O, PEEP 15 cmH2O = 20.0 [16.6-22.8] ml/cmH2O; p <0.001). By increasing the PEEP level, the center of ventilation moved toward the dependent lung, returning to the nondependent lung during the decremental PEEP steps.

Conclusions: The variation of DSSs dynamically measured by EIT correlates well with lung recruitment measured using the P-V curve technique. EIT might provide useful information to titrate personalized PEEP.

Trial registration: ClinicalTrials.gov, NCT02907840 . Registered on 20 September 2016.

Keywords: Acute respiratory distress syndrome; Acute respiratory failure; Electrical impedance tomography; Personalized medicine; Positive end-expiratory pressure; Pressure-volume curve.

Conflict of interest statement

Ethics approval and consent to participate

The study was approved by the ethics committee of the Sant’Anna Hospital, Ferrara, Italy (protocol no. 141285), and registered with ClinicalTrials.gov (NCT02907840).

Consent for publication

Written informed consent was obtained from the patients or their relatives for publication of their individual details. The consent forms are held by the authors and are available for review by the Editor-in-Chief of this journal.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Regional impedance map and “silent spaces” values during the different study phases in a representative patient. The impedance change maps (ΔZ) during the tidal breath are shown in the upper row for each step of the protocol; in the lower row, the corresponding level of silent spaces and center of ventilation are reported. Upon incrementally increasing positive end-expiratory pressure (PEEP), the percentage of dependent silent spaces decreased, whereas the opposite was true for decreasing PEEP levels
Fig. 2
Fig. 2
Correlation between dependent silent spaces and recruited lung volume assessed by pressure-volume (P-V) curve. The recruited volume determined by the shift in lung volumes between the P-V curves performed at different levels of positive end-expiratory pressure (PEEP) correlated inversely with the percentage change in dependent silent spaces. IBW Ideal body weight

References

    1. ARDS Definition Task Force Acute respiratory distress syndrome: the Berlin Definition. JAMA. 2012;307:2526–33.
    1. Gattinoni L, Caironi P, Cressoni M, et al. Lung recruitment in patients with the acute respiratory distress syndrome. N Engl J Med. 2006;354:1775–86. doi: 10.1056/NEJMoa052052.
    1. Slutsky AS, Ranieri VM. Ventilator-induced lung injury. N Engl J Med. 2013;369(22):2126–36. doi: 10.1056/NEJMra1208707.
    1. Gattinoni L, Marini JJ, Pesenti A, et al. The “baby lung” became an adult. Intensive Care Med. 2016;42(5):663–73. doi: 10.1007/s00134-015-4200-8.
    1. Dreyfuss D, Saumon G. Ventilator-induced lung injury: lessons from experimental studies. Am J Respir Crit Care Med. 1998;157(1):294–323. doi: 10.1164/ajrccm.157.1.9604014.
    1. Bellani G, Guerra L, Musch G, et al. Lung regional metabolic activity and gas volume changes induced by tidal ventilation in patients with acute lung injury. Am J Respir Crit Care Med. 2011;183(9):1193–9. doi: 10.1164/rccm.201008-1318OC.
    1. Mauri T, Eronia N, Abbruzzese C, et al. Effects of sigh on regional lung strain and ventilation heterogeneity in acute respiratory failure patients undergoing assisted mechanical ventilation. Crit Care Med. 2015;43(9):1823–31. doi: 10.1097/CCM.0000000000001083.
    1. Lachmann B. Open up the lung and keep the lung open. Intensive Care Med. 1992;18(6):319–21. doi: 10.1007/BF01694358.
    1. De Matos GF, Stanzani F, Passos RH, et al. How large is the lung recruitability in early acute respiratory distress syndrome: a prospective case series of patients monitored by computed tomography. Crit Care. 2012;16(1):R4. doi: 10.1186/cc10602.
    1. Writing Group for the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART) Investigators Effect of lung recruitment and titrated positive end-expiratory pressure (PEEP) vs low PEEP on mortality in patients with acute respiratory distress syndrome: a randomized clinical trial. JAMA. 2017;318(14):1335–45. doi: 10.1001/jama.2017.14171.
    1. Brower RG, Lanken PN, MacIntyre N, et al. Higher versus lower positive end-expiratory pressures in patients with the acute respiratory distress syndrome. N Engl J Med. 2004;351(4):327–36. doi: 10.1056/NEJMoa032193.
    1. Meade MO, Cook DJ, Guyatt GH, et al. Ventilation strategy using low tidal volumes, recruitment maneuvers, and high positive end-expiratory pressure for acute lung injury and acute respiratory distress syndrome: a randomized controlled trial. JAMA. 2008;299(6):637–45. doi: 10.1001/jama.299.6.637.
    1. Goligher EC, Kavanagh BP, Rubenfeld GD, et al. Physiologic responsiveness should guide entry into randomized controlled trials. Am J Respir Crit Care Med. 2015;192(12):1416–9. doi: 10.1164/rccm.201410-1832CP.
    1. Maggiore SM, Jonson B, Richard JC, et al. Alveolar derecruitment at decremental positive end-expiratory pressure levels in acute lung injury: comparison with the lower inflection point, oxygenation, and compliance. Am J Respir Crit Care Med. 2001;164(5):795–801. doi: 10.1164/ajrccm.164.5.2006071.
    1. Gattinoni L, Pesenti A, Avalli L, et al. Pressure-volume curve of total respiratory system in acute respiratory failure: computed tomographic scan study. Am Rev Respir Dis. 1987;136(3):730–6. doi: 10.1164/ajrccm/136.3.730.
    1. Ranieri VM, Eissa NT, Corbeil C, et al. Effect of PEEP on alveolar recruitment and gas exchange in ARDS patients. Am Rev Respir Dis. 1991;144:538–43. doi: 10.1164/ajrccm/144.3_Pt_1.544.
    1. Matamis D, Lemaire F, Harf A, et al. Total respiratory pressure-volume curves in the adult respiratory distress syndrome. Chest. 1984;86(1):58–66. doi: 10.1378/chest.86.1.58.
    1. Froese AB, McCulloch PR, Sugiura M, et al. Optimizing alveolar expansion prolongs the effectiveness of exogenous surfactant therapy in the adult rabbit. Am Rev Respir Dis. 1993;148(3):569–77. doi: 10.1164/ajrccm/148.3.569.
    1. Rimensberger PC, Cox PN, Frndova H, et al. The open lung during small tidal volume ventilation: concepts of recruitment and “optimal” positive end-expiratory pressure. Crit Care Med. 1999;27(9):1946–52. doi: 10.1097/00003246-199909000-00038.
    1. Rimensberger PC, Pristine G, Mullen BM, et al. Lung recruitment during small tidal volume ventilation allows minimal positive end-expiratory pressure without augmenting lung injury. Crit Care Med. 1999;27(9):1940–5. doi: 10.1097/00003246-199909000-00037.
    1. Frerichs I, Amato MB, van Kaam AH, et al. Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group. Thorax. 2017;72(1):83–93. doi: 10.1136/thoraxjnl-2016-208357.
    1. Ukere A, März A, Wodack KH, et al. Perioperative assessment of regional ventilation during changing body positions and ventilation conditions by electrical impedance tomography. Br J Anaesth. 2016;117(2):228–35. doi: 10.1093/bja/aew188.
    1. Acute Respiratory Distress Syndrome Network Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. N Engl J Med. 2000;342(18):1301–8. doi: 10.1056/NEJM200005043421801.
    1. Ferrario D, Grychtol B, Adler A, et al. Toward morphological thoracic EIT: major signal sources correspond to respective organ locations in CT. IEEE Trans Biomed Eng. 2012;59(11):3000–8. doi: 10.1109/TBME.2012.2209116.
    1. Constantin JM, Grasso S, Chanques G, et al. Lung morphology predicts response to recruitment maneuver in patients with acute respiratory distress syndrome. Crit Care Med. 2010;38(4):1108–17. doi: 10.1097/CCM.0b013e3181d451ec.
    1. Borges JB, Okamoto VN, Matos GF, et al. Reversibility of lung collapse and hypoxemia in early acute respiratory distress syndrome. Am J Respir Crit Care Med. 2006;174(3):268–78. doi: 10.1164/rccm.200506-976OC.
    1. Radke OC, Schneider T, Heller AR, et al. Spontaneous breathing during general anesthesia prevents the ventral redistribution of ventilation as detected by electrical impedance tomography: a randomized trial. Anesthesiology. 2012;116:1227–34. doi: 10.1097/ALN.0b013e318256ee08.
    1. Frerichs I, Pulletz S, Elke G, et al. Assessment of changes in distribution of lung perfusion by electrical impedance tomography. Respiration. 2009;77:282–91. doi: 10.1159/000193994.
    1. Zick G, Elke G, Becher T, et al. Effect of PEEP and tidal volume on ventilation distribution and end-expiratory lung volume: a prospective experimental animal and pilot clinical study. PLoS One. 2013;8(8):e72675. doi: 10.1371/journal.pone.0072675.
    1. Suarez-Sipmann F, Böhm SH, Tusman G, et al. Use of dynamic compliance for open lung positive end-expiratory pressure titration in an experimental study. Crit Care Med. 2007;35(1):214–21. doi: 10.1097/01.CCM.0000251131.40301.E2.
    1. Spadaro S, Scaramuzzo G, Bohm SH, et al. Silent spaces from electric impedance tomography in the bedside assessment of lung recruitment: a comparison with the pressure volume curve. Am J Respir Crit Care Med. 2017;195:A3018.
    1. Ranieri VM, Giuliani R, Fiore T, et al. Volume-pressure curve of the respiratory system predicts effects of PEEP in ARDS: “occlusion” versus “constant flow” technique. Am J Respir Crit Care Med. 1994;149:19–27. doi: 10.1164/ajrccm.149.1.8111581.
    1. Grivans C, Lundin S, Stenqvist O, et al. Positive end-expiratory pressure-induced changes in end-expiratory lung volume measured by spirometry and electric impedance tomography. Acta Anaesthesiol Scand. 2011;55(9):1068–77. doi: 10.1111/j.1399-6576.2011.02511.x.
    1. Gattinoni L, Pelosi P, Crotti S, et al. Effects of positive end-expiratory pressure on regional distribution of tidal volume and recruitment in adult respiratory distress syndrome. Am J Respir Crit Care Med. 1995;151(6):1807–14. doi: 10.1164/ajrccm.151.6.7767524.
    1. Mauri T, Bellani G, Confalonieri A, et al. Topographic distribution of tidal ventilation in acute respiratory distress syndrome: effects of positive end-expiratory pressure and pressure support. Crit Care Med. 2013;41(7):1664–73. doi: 10.1097/CCM.0b013e318287f6e7.
    1. Blankman P, Hasan D, Erik G, et al. Detection of ‘best’ positive end-expiratory pressure derived from electrical impedance tomography parameters during a decremental positive end-expiratory pressure trial. Crit Care. 2014;18(3):R95. doi: 10.1186/cc13866.
    1. Camporota L, Smith J, Barrett N, et al. Assessment of regional lung mechanics with electrical impedance tomography can determine the requirement for ECMO in patients with severe ARDS. Intensive Care Med. 2012;38(12):2086–7. doi: 10.1007/s00134-012-2701-2.
    1. Cinnella G, Grasso S, Raimondo P, et al. Physiological effects of the open lung approach in patients with early, mild, diffuse acute respiratory distress syndrome: an electrical impedance tomography study. Anesthesiology. 2015;123(5):1113–21. doi: 10.1097/ALN.0000000000000862.
    1. Mauri T, Eronia N, Turrini C, et al. Bedside assessment of the effects of positive end-expiratory pressure on lung inflation and recruitment by the helium dilution technique and electrical impedance tomography. Intensive Care Med. 2016;42(10):1576–87. doi: 10.1007/s00134-016-4467-4.
    1. Meier T, Luepschen H, Karsten J, et al. Assessment of regional lung recruitment and derecruitment during a PEEP trial based on electrical impedance tomography. Intensive Care Med. 2008;34(3):543–50. doi: 10.1007/s00134-007-0786-9.
    1. Karsten J, Grusnick C, Paarmann H, et al. Positive end-expiratory pressure titration at bedside using electrical impedance tomography in post-operative cardiac surgery patients. Acta Anaesthesiol Scand. 2015;59(6):723–2. 7. doi: 10.1111/aas.12518.
    1. Mead J, Takishima T, Leith D. Stress distribution in lungs: a model of pulmonary elasticity. J Appl Physiol. 1970;28(5):596–608. doi: 10.1152/jappl.1970.28.5.596.
    1. Cressoni M, Cadringher P, Chiurazzi C, et al. Lung inhomogeneity in patients with acute respiratory distress syndrome. Am J Respir Crit Care Med. 2014;189(2):149–58.
    1. Costa EL, Borges JB, Melo A, et al. Bedside estimation of recruitable alveolar collapse and hyperdistension by electrical impedance tomography. Intensive Care Med. 2009;35(6):1132–7. doi: 10.1007/s00134-009-1447-y.
    1. Kunst PW, Bohm SH. Vazquez de Anda G, et al. Regional pressure volume curves by electrical impedance tomography in a model of acute lung injury. Crit Care Med. 2000;28:178–83. doi: 10.1097/00003246-200001000-00029.
    1. Hickling KG. The pressure–volume curve is greatly modified by recruitment: a mathematical model of ARDS lungs. Am J Respir Crit Care Med. 1998;158:194–202. doi: 10.1164/ajrccm.158.1.9708049.
    1. Hinz J, Gehoff A, Moerer O, et al. Regional filling characteristics of the lungs in mechanically ventilated patients with acute lung injury. Eur J Anaesthesiol. 2007;24(5):414–24. doi: 10.1017/S0265021506001517.

Source: PubMed

3
Prenumerera