Advanced Biomedical Research · 2018 · 34 citations · 18 references
MedicineChild HealthPediatricsHemodynamic ManagementPediatric PulmonologyUltrasonographyCritical Care UltrasoundPediatric UltrasonographyVascular UltrasonographyVolume Status AssessmentBlood Volume AssessmentHemodynamic UltrasoundInferior Vena Cava DiameterInferior Vena Cava UltrasoundIntravascular Volume AssessmentPediatric Vascular UltrasonographyVolume Status Monitoring
BACKGROUND: Hemodynamic monitoring is an essential part in the treatment of critically ill patients. Establishment of intravascular volume and creation of a normal systemic perfusion are the most important part to reduce the risk of organ failure and mortality. This study aimed to determine the correlation between the inferior vena cava (IVC) sonographic indices and the central venous pressure (CVP) to provide a useful guide for noninvasive intravascular volume status assessment in children. MATERIALS AND METHODS: Target sample of children who were admitted to the pediatric critical care unit and required CVP monitoring were enrolled in this study. The collapsibility index (CI) and IVC/aorta (AO) ratio, from bedside ultrasonography measurement of the IVC, were calculated. RESULTS: Of the 70 participants, 22 patients (31.4%) revealed a CVP of 8 mm/Hg or less and 48 patients (68.6%) revealed a CVP >8 mm/Hg. Fifty-six patients (80%) had an IVC-CI of 0.5 or greater and 17 patients (24.3%) had an IVC/AO of 0.8 or less. IVC-CI index is 45.5% sensitive and 91.7% specific with positive predictive value of 71.4 and negative predictive value of 78.6 to predict CVP <8, and the IVC/AO index is 50.8% sensitive and 87.5% specific with a positive predictive value of 64.7 and a negative predictive value of 79.2 to predict CVP <8. CONCLUSION: Based on the present finding, the IVC sonographic indices provide a useful guide for noninvasive intravascular volume status assessment in children.
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Stanislaw P. Stawicki, Benjamin Braslow, Nova L. Panebianco et al. · Journal of the American College of Surgeons · 2009 · 258 citations
Veterinary Medicine, Biomedical Engineering, Diagnostic Imaging +11