Objective: To assess the efficacy and safety of laser-assisted lead extraction for upgrade of existing pacemakers and defibrillators in patients with central venous obstruction.
Background: Implantable cardiac defibrillators and biventricular pacing have become the accepted therapeutic measures for patients with congestive heart failure. Many patients who are candidates for device therapy, however, already have existing right ventricular leads and the presence of central venous obstruction. Upgrade of existing devices in these patients is a dilemma, which is increasingly encountered by device-implanting physicians. Laser-assisted extraction of existing leads can facilitate access for device upgrade and provide an alternative to lead abandonment and contralateral implant.
Methods: We review our experience with laser-assisted lead extraction in patients, referred for upgrade of existing devices, who were found to have, or known to have, ipsilateral subclavian vein occlusion.
Results: Over the past 3 years, 18 patients (13 men, 5 women; mean age 63.9 +/- 16 years) with subclavian vein occlusion underwent successful laser-assisted lead extraction (total 29 leads) and upgrade of existing leads to defibrillators and/or biventricular systems. Mean implant duration prior to extraction was 70.8 +/- 43.5 (11-192) months. Cannulation of the coronary sinus and placement of a transvenous left ventricular lead were achieved in all 13 patients in whom it was attempted. No complications occurred.
Conclusions: Laser-assisted lead extraction is a safe and effective approach, allowing for ipsilateral device upgrade in patients with existing devices and central venous obstruction.
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http://dx.doi.org/10.1111/j.1540-8159.2005.00163.x | DOI Listing |
Front Med (Lausanne)
December 2024
Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Bacterial liver abscesses commonly occur in patients with immune deficiencies such as diabetes, post-chemotherapy, or post-immunosuppressive therapy. The recommended treatment for liver abscesses exceeding 5 cm in a diameter is anti-infection therapy combined with percutaneous catheter drainage. Complications may include local spread to adjacent tissues or organs and thrombosis of the liver and portal veins.
View Article and Find Full Text PDFJ Vasc Access
December 2024
Clinical Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy.
The fibroblastic sleeve is a structure potentially enveloping any intravascular device. At ultrasound scan, it typically presents as a thin layer of variably echogenic material covering the catheter surface, which usually tends to remain into the vessel after the catheter removal. However, several case reports have documented its migration toward the heart or pulmonary artery after a central venous catheter removal.
View Article and Find Full Text PDFCardiovasc Intervent Radiol
December 2024
Department of Pulmonary and Critical Care Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, Guangdong, China.
Epidemiol Mikrobiol Imunol
December 2024
Objective: The aim of our study was to describe and analyze HAI incidence, etiology and risk factors in pediatric intensive care unit (ICU).
Background: Intensive care patients are at high risk of hospital-acquired infections (HAI) due to their underlying diseases and exposure to invasive devices.
Methods: The study group consisted of patients admitted to children's hospital ICU for more than 2 days during a six-month period (267 patients, 1570 patient-days).
Invest Radiol
October 2024
From the Department of Radiology and Nuclear Medicine, UKSH Lübeck, Lübeck, Germany (J.S., M.M., L.B., Y.E., J.B., M.M.S.); Institute of Medical Informatics, University of Lübeck, Lübeck, Germany (L.H., M.P.H.); Philips Research Hamburg, Hamburg, Germany (A.S., H.S.); and Institute of Interventional Radiology, UKSH Lübeck, Lübeck, Germany (M.M.S.).
Purpose: Accurate detection of central venous catheter (CVC) misplacement is crucial for patient safety and effective treatment. Existing artificial intelligence (AI) often grapple with the limitations of label inaccuracies and output interpretations that lack clinician-friendly comprehensibility. This study aims to introduce an approach that employs segmentation of support material and anatomy to enhance the precision and comprehensibility of CVC misplacement detection.
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