Early Identification of Acute Lung Injury in a Porcine Model of Hemorrhagic Shock

Acute lung injury (ALI) is a frequent complication after severe trauma. Lung-protective ventilation strategies and damage control resuscitation have been proposed for the prevention of ALI; however, there are no clinical or laboratory parameters to predict who is at risk of developing ALI after trau...

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Veröffentlicht in:The Journal of surgical research 2020-03, Vol.247, p.453-460
Hauptverfasser: Morris, Mackenzie C., Kim, Young, Blakeman, Thomas C., Stevens-Topie, Sabre, Jung, Andrew D., Cox, Daniel B., Robinson, Bryce B.R., Pritts, Timothy A., Makley, Amy T., Goodman, Michael D.
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Sprache:eng
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Zusammenfassung:Acute lung injury (ALI) is a frequent complication after severe trauma. Lung-protective ventilation strategies and damage control resuscitation have been proposed for the prevention of ALI; however, there are no clinical or laboratory parameters to predict who is at risk of developing ALI after trauma. In the present study, we explored pulmonary inflammatory markers as a potential predictor of ALI using a porcine model of hemorrhagic shock. Female swine were randomized to mechanical ventilation with low tidal volume (VT) (6 mL/kg) or high VT (12 mL/kg). After equilibration, animals underwent pressure-controlled hemorrhage (mean arterial pressure [MAP] 35 ± 5 mmHg) for 1 h, followed by resuscitation with fresh whole blood or Hextend. They were maintained at MAP of 50 ± 5 mmHg for 3 h in the postresuscitation phase. Bronchoalveolar lavage fluids were collected hourly and analyzed for inflammatory markers. Lung samples were taken, and porcine neutrophil antibody staining was used to evaluate the presence of neutrophils. ELISA evaluated serum porcine surfactant protein D levels. Sham animals were used as negative controls. Pigs that underwent hemorrhagic shock had higher heart rates, lower cardiac output, lower MAPs, and worse acidosis compared with sham at the early time points (P 
ISSN:0022-4804
1095-8673
DOI:10.1016/j.jss.2019.09.060