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A Journal on Anesthesiology, Resuscitation, Analgesia and Intensive Care

Official Journal of the Italian Society of Anesthesiology, Analgesia, Resuscitation and Intensive Care
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Minerva Anestesiologica 2003 December;69(12):907-918


language: English, Italian

Monitoring of intrathoracic volemia and cardiac output in critically ill children

Cecchetti C. 1, Stoppa F. 1, Vanacore N. 2, Barbieri M. A. 1, Raucci U. 1, Pasotti E. 1, Tomasello C. 1, Marano M. 1, Pirozzi N. 1

1 Emergency Department “Bambino Gesù” Pediatric Hospital, Rome, Italy 2 Department of Statistics and Bioepidemiology Istituto Superiore di Sanità, Rome, Italy


Aim. Hemodynamic monitoring is an important step in the management of critically ill children despite the difficulty in measuring preload indices continuously. The aim of the study was to analyze cardiac output parameters and preload indices after acute changes in mean airway pressure and volemia.
Methods. Twenty-three children treated at our unit were enrolled in a prospective non randomized cohort study. Respiration was supported by controlled mechanical ventilation with positive expiratory-end pressure (PEEP), peak inspiratory pressure <20 cm H2O and mean airway pressure <10 cm H2O, and hemodynamic monitoring using the PiCCO® system. Hemodynamic parameters were measured at T0 (base line), T1 (after an increase in PEEP of 5 cm H2O for 10 min), and T2 (after fluid challenge). The statistical analysis (BMPD New System software package) comprised comparison of changes at T0 vs T1, T1 vs T2 and T0 vs T2, construction of 3 correlation matrices and multiple linear regression analysis.
Results. Sixty-nine hemodynamic parameters were measured in the 23 patients. A comparison between T0 and T1 showed no significant changes; differences between T0 and T2 were found for cardiac index (CI), (p=0.003); between T0 and T2 significant differences were found for CI (p=0.0015), intrathoracic blood volume index (ITBVI) (p=0.04) and stroke volume index (SVI) (p=0.06). The analysis of the correlation matrices yielded ITBVI with CI (p=0.0006), ITBVI with SVI (p=1¥10-5), CI with SVI (p=0.002); a significant correlation between CI and extravascular lung water index (EVLWI) was found only at T1. Multiple linear regression analysis showed that ITBVI and SVI were predictive for variance of CI at each time point.
Conclusion. ITBVI measured by a volumetric monitoring system such as the PiCCO® may be considered a sensitive preload indicator also in critically ill children.

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