Internal jugular venous catheterization is a challenging procedure in pediatric patients due to small size. Overlapping of the internal jugular vein (IJV) and common carotid artery (CCA) may jeopardize the success and increase the complication rate.However, the use of ultrasound as an assistance tool might be helpful to identify the relationship between the IJV and the CCA. Endotracheal intubation and insertion of laryngeal mask are the common options for the airway management during general anesthesia for central venous catheterization. In this observational study, the investigators aimed to investigate the impact of the laryngeal mask insertion or endotracheal intubation and the role of head rotation on the overlap of the IJV and CCA evaluated with ultrasound in pediatric patients undergoing any kind of surgical procedure.
Study Type
OBSERVATIONAL
Enrollment
92
Ankara University Department of Anesthesiology and Intensive Care Medicine
Ankara, Turkey (Türkiye)
Primary outcome is the overlap percentages (%) of right and left IJVs before and just after insertion of LMA compared with ETT. Overlap percentage is calculated as overlap of IJV(mm)/carotid artery diameter(mm))*100 obtained from ultrasonographic images.
The airway devices are identified according to the own preference of the responsible anesthesiologist regarding to the patient's status and the type of surgery. Ultrasonographic images of each patient are recorded bilaterally with a 8-12 MHz linear probe (Venue 40 GE, USA) at the cricoid cartilage level perpendicular to the skin, parallel to mandibula in neutral, 40o and 80o head away position. The same ultrasonographic evaluations are repeated after the airway device insertion. The images are then evaluated by three different anesthesiologist.
Time frame: Obtaining ultrasonographic images takes 30 minutes on average per patient
the relationship between IJV and CCA defined as anterior, anterolateral, lateral, anteromedial and medial according to the IJV's topographic location
Time frame: Obtaining ultrasonographic images takes 30 minutes on average per patient
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