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Tertiary Pediatric Academic Institution's Experience With Intraoperative Neuromonitoring for Nonspinal Surgery in
Ali I Kandil1, Cindy S Pettit1, Lisa N Berry2
1From the Department of Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Insights
Intraoperative neurophysiologic monitoring (IONM) in mucopolysaccharidoses (MPS) patients undergoing nonspinal surgery can identify potential neurological issues. A multidisciplinary algorithm helps guide anesthetic management for safer surgical outcomes in this high-risk group.
Area of Science:
- Anesthesiology
- Neurology
- Pediatric Surgery
Background:
- Mucopolysaccharidoses (MPS) patients present unique anesthetic challenges due to musculoskeletal deformities.
- Postsurgical neurological deficits have been reported in MPS patients after nonspinal surgery.
- Increased neurological monitoring is warranted for MPS patients undergoing nonspinal procedures.
Purpose of the Study:
- To describe the experience with Intraoperative Neurophysiologic Monitoring (IONM) in MPS patients.
- To evaluate a multidisciplinary, evidence-based care algorithm for anesthetic management.
- To assess the safety and efficacy of IONM in nonspinal surgery for MPS patients.
Main Methods:
- Retrospective chart review of MPS patients undergoing nonspinal surgery (September 2016 - March 2018).
- Data extraction included demographics, comorbidities, surgical details, and IONM data.
- Analysis of IONM changes and contributing factors.
Main Results:
- Twenty-one of 38 MPS patients received IONM based on the care algorithm.
- Reliable baseline potentials were obtained in all IONM patients.
- Three patients (14%) experienced significant IONM changes requiring intervention; none had residual deficits.
Conclusions:
- IONM and a novel care algorithm can aid in anesthetic management for MPS patients.
- This approach provides a useful tool for safe anesthetic care in a high-risk cohort.
- The study highlights the potential of IONM to prevent neurological deficits.
Background:
Musculoskeletal deformities in mucopolysaccharidoses (MPSs) patients pose unique challenges when patients present for surgery, especially nonspinal surgery. MPS patients have developed postsurgical neurological deficits after nonspinal surgery. While the incidence of neurological deficits after nonspinal surgery under anesthesia is unknown, accumulating evidence provides impetus to change current practice and increased neurological monitoring in these patients. Intraoperative neurophysiologic monitoring (IONM) with somatosensory evoked potentials (SSEPs) and transcranial motor evoked potentials (TcMEPs) has been implemented at select institutions with varying degree of success. This report describes our experience with IONM in the context of a multidisciplinary evidence-based care algorithm we developed at Cincinnati Children's Hospital Medical Center.
Methods:
We conducted a retrospective chart review of the electronic medical record (EPIC), for data from all MPS patients at our institution undergoing nonspinal surgery between September 2016 and March 2018. Patients were identified from IONM logs, which include procedure and patient comorbidities. Data concerning demographics, morbidities, degree of kyphoscoliosis, intraoperative administered medications and vital signs, surgical procedure, the IONM data, duration of surgery, and blood loss were extracted. Descriptive analyses were generated for all variables in the data collected. In addition, any IONM changes noted during the surgeries were identified and factors contributing to the changes described.
Results:
Thirty-eight patients with a diagnosis of MPS underwent nonspinal surgery, and of those 38, 21 received IONM based on preoperative decision-making according to our care algorithm. Of the 21 patients who received IONM, we were able to get reliable baseline potentials on all patients. Of the 21 patients, 3 had significant neurophysiologic changes necessitating surgical/anesthetic intervention. All of these changes lasted several minutes, and the real-time IONM monitoring was able to capture them as they arose. None of the patients sustained residual neurological deficits. Thus, children who did not fit the criteria for IONM (n = 13) based on our algorithm had 0% incidence of any untoward neurological deficits after surgery (97.5% confidence interval [CI], 00%-25.5%), while 14% (95% CI, 11.5%-30.1%) of children who did fit criteria for IONM and had IONM had significant IONM changes.
Conclusions:
Through this case series, we describe our experience with the use of IONM and a novel care algorithm for guiding the anesthetic management of MPS patients undergoing nonspinal surgery. We conclude that they can be useful tools for provision of safe anesthetic care in this high-risk cohort.