The use of mean circulatory filling pressure analogue for monitoring hemodynamic coherence: A post-hoc analysis of the SPARSE data and proof-of-concept study

Author:

Laou Eleni1,Papagiannakis Nikolaos2,Sarchosi Smaragdi3,Kleisiaris Konstantinos4,Apostolopoulou Aggeliki3,Syngelou Vasiliki3,Kakagianni Maria3,Christopoulos Agamemnon5,Ntalarizou Nicoleta3,Chalkias Athanasios36

Affiliation:

1. Department of Anesthesiology, Agia Sophia Children’s Hospital, Athens, Greece

2. First Department of Neurology, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece

3. Department of Anesthesiology, Faculty of Medicine, University of Thessaly, Larisa, Greece

4. Intermediate Care Unit, Cardiovascular Center, University Hospital of Bern, Bern, Switzerland

5. Department of Urology, Faculty of Medicine, University of Thessaly, Larisa, Greece

6. Outcomes Research Consortium, Cleveland, OH, USA

Abstract

BACKGROUND: Dissociation between macrocirculation and microcirculation is often observed in surgical patients. OBJECTIVE: To test the hypothesis that the analogue of mean circulatory filling pressure (Pmca) can monitor hemodynamic coherence during major non-cardiac surgery. METHODS: In this post-hoc analysis and proof-of-concept study, we used the central venous pressure (CVP), mean arterial pressure (MAP), and cardiac output (CO) to calculate Pmca. Efficiency of the heart (Eh), arterial resistance (Rart), effective arterial elastance (Ea), venous compartment resistance (Rven), oxygen delivery (DO2), and oxygen extraction ratio (O2ER) were also calculated. Sublingual microcirculation was assessed using SDF + imaging, and the De Backer score, Consensus Proportion of Perfused Vessels (Consensus PPV), and Consensus PPV (small) were determined. RESULTS: Thirteen patients were included, with a median age of 66 years. Median Pmca was 16 (14.9–18) mmHg and was positively associated with CO [p < 0.001; a 1 mmHg increase in Pmca increases CO by 0.73 L  min-1 (p < 0.001)], Eh (p < 0.001), Rart (p = 0.01), Ea (p = 0.03), Rven (p = 0.005), DO2 (p = 0.03), and O2ER (p = 0.02). A significant correlation was observed between Pmca and Consensus PPV (p = 0.02), but not with De Backer Score (p = 0.34) or Consensus PPV (small) (p = 0.1). CONCLUSION: Significant associations exist between Pmca and several hemodynamic and metabolic variables including Consensus PPV. Adequately powered studies should determine whether Pmca can provide real-time information on hemodynamic coherence.

Publisher

IOS Press

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Hematology,Physiology

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