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Updated: Feb 6, 2026
Neuronavigation and Laparoscopy Guided Ventriculoperitoneal Shunt Insertion for the Treatment of Hydrocephalus
Published on: October 14, 2022
Sonication Improves Pathogen Detection in Ventriculoperitoneal Shunt-Associated Infections
Vincent Prinz1, Simon Bayerl1, Nora Renz2
1Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.
Background:
Antimicrobial treatment of ventriculoperitoneal (VP) shunt infections is challenging when the causative pathogen is unknown.
Objective:
To evaluate the value of sonication of explanted shunt-devices to improve the microbiological detection rate.
Methods:
All consecutive patients undergoing revision surgery due to suspected VP-shunt infection from January 2015 to February 2017 were evaluated. Intraoperative tissue samples, wound swabs, and cerebrospinal fluid (CSF) were collected for microbiological examination. In a subgroup of patients, the removed implants were additionally sent for sonication.
Results:
A total of 35 patients were included with a mean age of 57.5 ± 18 yr, 21 were female (60%). In 13 patient's tissue samples, CSF and wound swabs were analyzed. In 22 patients, the explanted device was additionally sent for sonication. All 22 sonication cultures showed a positive microbiological result (100%), whereas with conventional microbiological methods, the causative microorganism was identified in 8 of 13 (61%; P = .018). Analyzed by method, all 22 sonication cultures (100%) were positive and 21 of 35 conventional microbiological analysis results (60%) detected the causative agent (P < .001.) In 18 patients (51%), antimicrobial treatment was started preoperatively. In those patients, the pathogen was detected in all 12 sonication cultures (100%), whereas conventional methods grew a pathogen in 3 of 6 patients (P = .005).
Conclusion:
Sonication significantly increases the microbiological yield in VP-shunt infections, especially in patients receiving antibiotics prior to diagnostics and in infections caused by low-virulent organisms. The implementation of sonication into the clinical routine can substantially increase the rate of pathogen detection allowing targeted treatment.
Insights
Sonication of removed ventriculoperitoneal (VP) shunts significantly improves pathogen detection in shunt infections. This method is crucial for identifying causative agents, especially when patients receive antibiotics before diagnosis.
Area of Science:
- Neurosurgery
- Infectious Diseases
- Clinical Microbiology
Background:
- Ventriculoperitoneal (VP) shunt infections pose treatment challenges due to difficulties in pathogen identification.
- Empirical antimicrobial therapy is often initiated before the causative agent is known, further complicating diagnosis.
Purpose of the Study:
- To assess the diagnostic value of sonication for detecting microorganisms in explanted VP shunt devices.
- To improve the microbiological detection rate in suspected VP shunt infections.
Main Methods:
- Evaluation of consecutive patients undergoing revision surgery for suspected VP shunt infection.
- Collection of intraoperative tissue samples, wound swabs, and cerebrospinal fluid (CSF) for microbiological analysis.
- Sonication of explanted shunt devices in a subgroup of patients to enhance microbial yield.
Main Results:
- Sonication of explanted shunts achieved 100% microbiological detection rate in 22 patients.
- Conventional methods identified the causative microorganism in only 61% of tissue/CSF/swab samples (13 patients).
- Sonication demonstrated higher pathogen detection rates, particularly in patients pretreated with antibiotics (100% vs. 50% for conventional methods).
Conclusions:
- Sonication significantly enhances the microbiological yield for VP shunt infections.
- This technique is especially valuable in cases with preoperative antibiotic use and infections involving low-virulent organisms.
- Integrating sonication into routine clinical practice can improve pathogen detection and guide targeted antimicrobial treatment.
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