Electrical Impedance Tomography Identifies Evolution of Regional Perfusion in a Porcine Model of Acute Respiratory Distress Syndrome

Author:

Martin Kevin T.1,Xin Yi2,Gaulton Timothy G.3,Victor Marcus4,Santiago Roberta R.5,Kim Taehwan6,Morais Caio C. A.7,Kazimi Aubrey A.8,Connell Marc9,Gerard Sarah E.10,Herrmann Jacob11,Mueller Ariel L.12,Lenart Austin13,Shen Jiacheng14,Khan Sherbano S.15,Petrov Mihail16,Reutlinger Kristan17,Rozenberg Karina18,Amato Marcelo19,Berra Lorenzo20,Cereda Maurizio21

Affiliation:

1. 1Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California; Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

2. 2Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

3. 3Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

4. 4Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Electronics Engineering Division, Aeronautics Institute of Technology, São Paulo, Brazil.

5. 5Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

6. 6Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

7. 7Department of Physical Therapy, Federal University of Pernambuco, Recife, Brazil.

8. 8Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

9. 9Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania; University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania.

10. 10Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa.

11. 11Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa.

12. 12Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

13. 13Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

14. 14Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

15. 15Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

16. 16Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

17. 17Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

18. 18Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania.

19. 19Department of Cardio-Pulmonary, University of São Paulo, São Paulo, Brazil.

20. 20Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

21. 21Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.

Abstract

Background Bedside electrical impedance tomography could be useful to visualize evolving pulmonary perfusion distributions when acute respiratory distress syndrome worsens or in response to ventilatory and positional therapies. In experimental acute respiratory distress syndrome, this study evaluated the agreement of electrical impedance tomography and dynamic contrast–enhanced computed tomography perfusion distributions at two injury time points and in response to increased positive end-expiratory pressure (PEEP) and prone position. Methods Eleven mechanically ventilated (VT 8 ml · kg−1) Yorkshire pigs (five male, six female) received bronchial hydrochloric acid (3.5 ml · kg−1) to invoke lung injury. Electrical impedance tomography and computed tomography perfusion images were obtained at 2 h (early injury) and 24 h (late injury) after injury in supine position with PEEP 5 and 10 cm H2O. In eight animals, electrical impedance tomography and computed tomography perfusion imaging were also conducted in the prone position. Electrical impedance tomography perfusion (QEIT) and computed tomography perfusion (QCT) values (as percentages of image total) were compared in eight vertical regions across injury stages, levels of PEEP, and body positions using mixed-effects linear regression. The primary outcome was agreement between QEIT and QCT, defined using limits of agreement and Pearson correlation coefficient. Results Pao2/Fio2 decreased over the course of the experiment (healthy to early injury, −253 [95% CI, −317 to −189]; early to late injury, −88 [95% CI, −151 to −24]). The limits of agreement between QEIT and QCT were −4.66% and 4.73% for the middle 50% quantile of average regional perfusion, and the correlation coefficient was 0.88 (95% CI, 0.86 to 0.90]; P < 0.001). Electrical impedance tomography and computed tomography showed similar perfusion redistributions over injury stages and in response to increased PEEP. QEIT redistributions after positional therapy underestimated QCT in ventral regions and overestimated QCT in dorsal regions. Conclusions Electrical impedance tomography closely approximated computed tomography perfusion measures in experimental acute respiratory distress syndrome, in the supine position, over injury progression and with increased PEEP. Further validation is needed to determine the accuracy of electrical impedance tomography in measuring perfusion redistributions after positional changes. Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

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