Prevention and management of internal cerebrospinal fluid shunt infections

Development and Validation of a Predictive Model for Postoperative Intracranial Infections in Neurosurgery with Risk Factor Analysis

BACKGROUND

Currently, the diagnosis of postneurosurgical intracranial infection is mainly dependent on cerebrospinal fluid (CSF) bacterial culture, which has the disadvantages of being time-consuming, having a low detection rate, and being easily affected by other factors. These disadvantages bring some difficulties to early diagnosis. Therefore, it is very important to construct a nomogram model to predict the risk of infection and provide a basis for early diagnosis and treatment.

METHODS

This retrospective study analyzed postneurosurgical patient data from the Fourth Affiliated Hospital of Harbin Medical University between January 2019 and September 2023. The patients were randomly assigned in an 8:2 ratio into the training cohort and the internal validation cohort. In the training cohort, initial screening of relevant indices was conducted via univariate analysis. Subsequently, the least absolute shrinkage and selection operator logistic regression identified significant potential risk factors for inclusion in the nomogram model. The model's discriminative ability was assessed using the area under the receiver operating characteristic curve, and its calibration was evaluated through calibration plots. The clinical utility of the model was determined using decision curve analysis and further validated by the internal validation cohort.

RESULTS

Multivariate logistic regression analysis of the training cohort identified 7 independent risk factors for postoperative intracranial infection: duration of postoperative external drainage (odds ratio [OR] 1.19, P = 0.005), continued fever (OR 2.11, P = 0.036), CSF turbidity (OR 2.73, P = 0.014), CSF pressure (OR 1.01, P = 0.018), CSF total protein level (OR 1.26, P = 0.026), CSF glucose concentration (OR 0.74, P = 0.029), and postoperative serum albumin level (OR 0.84, P < 0.001). Using these variables to construct the final model. The area under the receiver operating characteristic curve value of the model was 0.868 in the training cohort and 0.900 in the internal validation cohort. Calibration and the decision curve analysis indicated high accuracy and clinical benefit of the nomogram, findings that were corroborated in the validation cohort.

CONCLUSIONS

This study successfully developed a novel nomogram for predicting postoperative intracranial infection, demonstrating excellent predictive performance. It offers a pragmatic tool for the early diagnosis of intracranial infection.

Cerebrospinal Fluid System Infection in Children with Cancer: A Retrospective Analysis over 14 Years in a Major European Pediatric Cancer Center

Infection of a cerebrospinal fluid system is a serious medical complication. We performed a retrospective monocentric analysis on temporary and permanent cerebrospinal fluid devices in children with and without cancer, covering a period of over 14 years. Between 2004 and 2017, 275 children with a cerebrospinal fluid system were seen at our institution. Thirty-eight children suffered from 51 microbiologically proven infectious episodes of the cerebrospinal fluid system (12 children with cancer and 26 children without cancer). Independently of the cerebrospinal fluid system used, the incidence of infection did not significantly differ between children with and without cancer and was the highest in children younger than one year. Infection occurred earlier in external ventricular drain (EVD) than ventriculoperitoneal (VP) shunt, and in EVD significantly earlier in children with cancer compared with patients without cancer. The pathogens isolated were mainly Gram-positive bacteria, in particular Staphylococcus spp., which should be taken into account for empirical antimicrobial therapy.

Central nervous system infections associated with neurologic devices

PURPOSE OF REVIEW

To review recent data on the epidemiology, microbiology, diagnosis, and management of central nervous system (CNS) infections associated with neurologic devices.

RECENT FINDINGS

The increasing use of implanted neurologic devices has led to an increase in associated infections. Cerebrospinal fluid (CSF) inflammation may be present after a neurosurgical procedure, complicating the diagnosis of CNS infection. Newer biomarkers such as CSF lactate and procalcitonin show promise in differentiating infection from other causes of CSF inflammation. Molecular diagnostic tests including next-generation or metagenomic sequencing may be superior to culture in identifying pathogens causing healthcare-associated ventriculitis and meningitis.

SUMMARY

Neurologic device infections are serious, often life-threatening complications. Rapid recognition and initiation of antibiotics are critical in decreasing morbidity. Device removal is usually required for cure.

Healthcare-associated ventriculitis: current and emerging diagnostic and treatment strategies

Introduction: Healthcare-associated ventriculitis and meningitis occur after neurosurgical procedures, is associated with an adverse outcome in the majority of patients and represent a diagnostic challenge to clinicians. As the cerebrospinal fluid (CSF) culture is the cornerstone of diagnosis, obtaining CSF studies prior to starting antibiotic therapy is key.Areas covered: This review will evaluate the incidence, risk factors, clinical presentation, diagnosis, empirical intravenous antibiotic therapy, adjunctive intrathecal therapy, microbiology, prognosis, and prevention of HCAVM. We highlight the challenges and limitations of the currently available diagnostic methods and definitions and explore novel technologies. Our review included the search for published literature until June 2020.Expert opinion: Despite available preventive measures, HCAVM continues to occur and to be independently associated with significant neurological morbidity and mortality in the majority of patients. The cornerstone of the diagnosis of HCAVM is a positive CSF culture but the microbiological yield is reduced to ~50% with prior antimicrobial therapy. Although the CSF profile is not affected by antibiotic therapy it has a fair diagnostic accuracy. Future research efforts should concentrate in identifying novel diagnostic tools such as polymerase chain reaction (PCR) or metagenomic sequencing.

Ventriculoperitoneal Shunt Infections Cause Acute Abdomen and Peritonitis: A Case Series

BACKGROUND

Patients with ventriculoperitoneal shunt (VPS) often present to emergency departments with acute abdomen. It is challenging to distinguish between the abdominal problems caused by a VPS and acute surgical abdomen having another cause because VPS infections occasionally cause peritonitis. The frequencies and clinical features of acute abdomen caused by VPS infection are unknown.

METHODS

This was a retrospective analysis of all patients with a VPS who presented with acute abdomen to emergency department for a 10-year period. Clinical data, diagnostic workflow, and subsequent treatment were assessed using patient medical records.

RESULTS

In total, 1679 patients presented with acute abdomen; of these, 24 (1.4%) had a VPS at the time of presentation. Of the 24 patients, 12 had an acute surgical abdomen related to gastrointestinal sources with subsequent therapy. In the remaining 12 patients (50%), peritonitis was caused by a VPS infection; seven of these had erroneous abdominal surgeries because of misdiagnosis. Patients with shunt infections as a source of peritonitis underwent shunt surgeries within the past 10 wk (mean, 58 d). Patients with an acute surgical abdomen with gastrointestinal sources had their most recent shunt surgery at a mean of 4.7 y before presentation to the emergency department.

CONCLUSIONS

Acute abdomen and peritonitis are challenging in the presence of a VPS. Shunt infections frequently mimic acute surgical abdomen and may lead to misdiagnosis, unnecessary diagnostic procedures, unnecessary surgery, and delay in receiving the appropriate treatment. Shunt surgery in recent patient history is suggestive of VPS infection, and a shunt tap should be performed to confirm the diagnosis.

Diagnostic Approach to Health Care- and Device-Associated Central Nervous System Infections

Health care- and device-associated central nervous system (CNS) infections have a distinct epidemiology, pathophysiology, and microbiology that require a unique diagnostic approach. Most clinical signs, symptoms, and tests used to diagnose community-acquired CNS infections are insensitive and nonspecific in neurosurgical patients due to postsurgical changes, invasive devices, prior antimicrobial exposure, and underlying CNS disease. The lack of a standardized definition of infection or diagnostic pathway has added to this challenge. In this review, we summarize the epidemiology, microbiology, and clinical presentation of these infections, discuss the issues with existing microbiologic tests, and give an overview of the current diagnostic approach.

Emergency Department Approach to the Patient with Suspected Central Nervous System Infection

Central nervous system (CNS) infections require early recognition and aggressive management to improve patient survival and prevent long-term neurologic sequelae. Although early detection and treatment are important in many infectious syndromes, CNS infections pose unique diagnostic and therapeutic challenges. The nonspecific signs and symptoms at presentation, lack of characteristic infectious changes in laboratory and imaging diagnostics, and closed anatomic and immunologically sequestered space each present challenges to the emergency physician. This article proposes an approach to the clinical evaluation of patients with suspected CNS infection and highlights methods of diagnosis, treatment, and complications associated with CNS infections.

The Impact of a Pediatric Shunt Surgery Checklist on Infection Rate at a Single Institution

BACKGROUND

Shunt infections remain a significant challenge in pediatric neurosurgery. Numerous surgical checklists have been introduced to reduce infection rates.

OBJECTIVE

To introduce an evidence-based shunt surgery checklist and its impact on our shunt infection rate.

METHODS

Between January 1, 2008 and December 31, 2015, pediatric patients who underwent shunt surgery at our institution were indexed in a prospectively maintained database. All definitive shunt procedures were included. Shunt infection was defined according to the Center for Disease Control and Prevention's National Hospital Safety Network surveillance definition for surgical site infection. Clinical and procedural variables were abstracted per procedure. Infection data were compared for the 4 year before and 4 year after protocol implementation. Compliance was calculated from retrospective review of our checklists.

RESULTS

Over the 8-year study period, 1813 procedures met inclusion criteria with a total of 37 shunt infections (2%). Prechecklist (2008-2011) infection rate was 3.03% (28/924) and decreased to 1.01% (9/889; P = .003) postchecklist (2012-2015), representing an absolute risk reduction of 2.02% and relative risk reduction of 66.6%. One shunt infection was prevented for every 50 times the checklist was used. Those patients who developed an infection after protocol implementation were younger (0.95 years vs 3.40 years (P = .027)), but there were no other clinical or procedural variables, including time to infection, that were significantly different between the cohorts. Average compliance rate among required checklist components was 97% (range 85%-100%).

CONCLUSION

Shunt surgery checklist implementation correlated with lower infection rates that persisted in the 4 years after implementation.

Central Nervous System Device Infections

Nosocomial meningitis can occur in association with central nervous system (CNS) devices such as cerebrospinal shunts or drains, intrathecal pumps, and deep brain stimulators and carry substantial morbidity and mortality. Diagnosing and treating these infections may be challenging to physicians as cerebrospinal fluid cultures may be negative due to previous antibiotic therapy and cerebrospinal abnormalities may be secondary to the primary neurosurgical issue that prompted the placement of the CNS device (e.g., "chemical meningitis" due to intracranial hemorrhage). Besides antibiotic therapy given intravenously and sometimes intrathecally, removal of the device with repeat cultures prior to re-implantation is key in achieving successful outcomes.