The individual components of mechanical ventilation may have distinct effects on kidney perfusion and on the risk of developing acute kidney injury; we aimed to explore ventilatory predictors of acute kidney failure and the hemodynamic changes consequent to experimental high-power mechanical ventilation. Secondary analysis of two animal studies focused on the outcomes of different mechanical power settings, including 78 pigs mechanically ventilated with high mechanical power for 48 h. The animals were categorized in four groups in accordance with the RIFLE criteria for acute kidney injury (AKI), using the end-experimental creatinine: (1) NO AKI: no increase in creatinine; (2) RIFLE 1-Risk: increase of creatinine of > 50%; (3) RIFLE 2-Injury: two-fold increase of creatinine; (4) RIFLE 3-Failure: three-fold increase of creatinine; The main ventilatory parameter associated with AKI was the positive end-expiratory pressure (PEEP) component of mechanical power. At 30 min from the initiation of high mechanical power ventilation, the heart rate and the pulmonary artery pressure progressively increased from group NO AKI to group RIFLE 3. At 48 h, the hemodynamic variables associated with AKI were the heart rate, cardiac output, mean perfusion pressure (the difference between mean arterial and central venous pressures) and central venous pressure. Linear regression and receiving operator characteristic analyses showed that PEEP-induced changes in mean perfusion pressure (mainly due to an increase in CVP) had the strongest association with AKI. In an experimental setting of ventilation with high mechanical power, higher PEEP had the strongest association with AKI. The most likely physiological determinant of AKI was an increase of pleural pressure and CVP with reduced mean perfusion pressure. These changes resulted from PEEP per se and from increase in fluid administration to compensate for hemodynamic impairment consequent to high PEEP;
Determinants of acute kidney injury during high-power mechanical ventilation: secondary analysis from experimental data
S. Gattarello,Fabio Lombardo,F. Romitti,Rosanna D’Albo,Mara Velati,I. Fratti,T. Pozzi,R. Nicolardi,A. Fioccola,M. Busana,F. Collino,P. Herrmann,L. Camporota,Michael Quintel,O. Moerer,Leif Saager,Konrad Meissner,L. Gattinoni
Published 2024 in Intensive Care Medicine Experimental
ABSTRACT
PUBLICATION RECORD
- Publication year
2024
- Venue
Intensive Care Medicine Experimental
- Publication date
2024-03-21
- Fields of study
Medicine
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- Source metadata
Semantic Scholar, PubMed
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