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- Giuseppe Maria Della Pepa, Giovanni Sabatino, Elisabetta Peppucci, Carmelo Lucio Sturiale, Alessio Albanese, Alfredo Puca, Alessandro Olivi, Enrico Marchese, and Valerio Perotti.
- Institute of Neurosurgery, Catholic University School of Medicine, Rome, Italy. Electronic address: gdellapepa@hotmail.com.
- World Neurosurg. 2018 Jan 1; 109: 455-459.
BackgroundVentriculoatrial (VA) shunt is a routine technique for the treatment of hydrocephalus. The correct position at the superior vena cava-right atrium junction is generally assessed by radiography. We present the first experience of an alternative, nonradiographic technique to assess the distal end of the VA shunts through an electrocardiographic (EKG) method. The technique has developed from the large experience of central venous catheters (CVC) worldwide; the EKG-guided method is a common and validated alternative to standard radiologic control of the location of the tip of any CVC.MethodsFive consecutive patients underwent VA shunt with venous catheter positioned with the EKG-guided technique. The position of the catheter tip was verified by standard chest radiography.ResultsFour men and 1 woman (mean age, 45.4 years) underwent VA shunt for hydrocephalus with the EKG-guided technique. The side of internal jugular vein puncture was the right side in 4 cases and the left side in 1 case. As confirmed by radiography, all VA shunt tips were located within the correct range. There was no radiologic evidence of procedure-related complication or catheters that had to be replaced.ConclusionsThe EKG-guided technique for VA shunts is as accurate as fluoroscopy, but simpler, more readily available, less expensive, safer, and more cost effective. It reduces the need of radiography and radiologic exposition for both patients and operators. The EKG method may be a valid and cost-effective alternative to standard radiologic control in VA shunts, as for any central venous access device, and could become the preferential method for confirming tip position during VA shunt surgery.Copyright © 2017 Elsevier Inc. All rights reserved.
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