International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Effects of changes in blood pressure during brain vascular surgery on intraoperative neuromonitoring

  • Lee, Kyuhyun (Department of Health Sciences, Dankook University) ;
  • Kim, Jaekyung (Department of Health Sciences, Dankook University)
  • Received : 2020.06.20
  • Accepted : 2020.07.03
  • Published : 2020.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study was conducted in order to determine how reductions in blood pressure during surgery affect intraoperative neuromonitoring. This retrospective study considered a total of 339 patients: 194 patients with normal neuromonitoring findings (57%), 145 (42%) with abnormal neuromonitoring findings, and 34 (10%) with postoperative neurological deficits. Comparisons between the three groups revealed that overall blood pressure during surgery, postoperative blood pressure, and the difference between the maximum and minimum blood pressure could affect the intraoperative neuromonitoring findings. While we indicate that a drop in blood pressure to below 70 mmHg could affect neuromonitoring results, differences in the dosage of anesthetic agents did not significantly affect reductions in blood pressure or neuromonitoring findings. The association of monitoring with blood pressure found in this study is expected to help future examiners. However, this study did not clarify the relationship between anesthesia and blood pressure and how it could affect intraoperative neuromonitoring. Therefore, further research on this part is thought to be necessary.

Keywords

References

  1. A. Szelenyi, and G. Neuloh, "Surgery and Intraoperative Neurophysiological Monitoring for Aneurysm Clipping," Neurophysiology in Neurosurgery, pp. 283-293, 2020. DOI: https://doi.org/0.1016/B978-0-12-815000-9.00021-6
  2. J. Donnelly, et al., "Pressure Reactivity-Based Optimal Cerebral Perfusion Pressure in a Traumatic Brain Injury Cohort," Intracranial Pressure & Neuromonitoring, vol. 126, pp. 209-212, 2018. DOI: https://doi.org/10.1007/978-3-319-65798-1_43
  3. M. Williams, and J. K. Lee, "Intraoperative Blood Pressure and Cerebral Perfusion: Strategies to Clarify Hemodynamic Goals," Pediatric Anesthesia, vol. 24, no. 7, pp. 657-667, 2014. DOI: https://doi.org/10.1111/pan.12401
  4. B. Xu, et al., "Relationship between Neurological Complications, Cerebrovascular and Cerebral Perfusion Following Off-Pump Coronary Artery Bypass Grafting," Neurological Research, vol. 37, no. 5, pp. 421-426, 2015. DOI: https://doi.org/10.1179/1743132815y.0000000030
  5. S. K. Park, et. Al., "Intra-Operative Neurological Monitoring and Anesthesia," Korean Journal of Clinical Laboratory Science, vol. 44, no. 4, 184-198, 2012.
  6. I. B. Cho, et al., "The Effect of Obesity on Awareness in General Anesthesia with Propofol," Korean Journal of Anesthesiology, vol. 50, no. 4, pp. 379-384, 2006. DOI: https://doi.org/10.4097/kjae.2006.50.4.379
  7. B. Bruins, et al., "The Anesthetic Effects on Vasopressor Modulation of Cerebral Blood Flow in an Immature Swine Model," Anesthesia and Analgesia, vol. 116, no. 4, pp. 838, 2013. DOI: https://doi.org/10.1213/ane.0b013e3182860fe7
  8. J. A. Friedman, et al., "Ischemic Complications of Surgery for Anterior Choroidal Artery Aneurysms," Journal of neurosurgery, vol. 94, no. 4, pp. 565-572, 2001. DOI: https://doi.org/10.3171/jns.2001.94.4.0565
  9. B. Cauli, and E. Hamel, "Brain Perfusion and Astrocytes," Trends in Neurosciences, vol. 41, no. 7, pp. 409-413, 2018. DOI: https://doi.org/10.1016/j.tins.2018.04.010
  10. S. H. Han, "Perioperative Neurologic Monitoring", Korean Journal of Anesthesiology, vol. 54, no. 1, pp. 1-11, 2008. DOI: https://doi.org/10.4097/kjae.2008.54.1.1
  11. J. Yang, et al., "Raising Mean Arterial Pressure Alone Restores 20% of Intraoperative Neuromonitoring Losses," Spine, vol. 43, no. 13, pp. 890-894, 2018. DOI: https://doi.org/10.1542/peds.142.1_MeetingAbstract.331
  12. V. Fraix, et al., "Brachiofacial Pure Motor Stroke," Cerebrovascular Diseases, vol. 12, no. 1, pp. 34-38, 2001. DOI: https://doi.org/10.1159/000047678
  13. J. Yang, et al., "Neuromonitoring Signals and Blood Pressure: When They Go Low, We Go High," Official Journal of the American Academy of Pediatrics, vol. 142, no. 1, pp. 331-331, 2018. DOI: https://doi.org/10.1097/brs.0000000000002461
  14. J. I. Han, and H.S. Lee, "Adequate Combination of Target Effect-site Concentration of Propofol and Remifentanil for Tracheal Intubation," Korean Journal of Anesthesiology, vol. 54, no. 1, pp. 37, 2008. DOI: https://doi.org/10.4097/kjae.2008.54.1.37
  15. S. W. Baik, "Assessment of Depth of Anesthesia," Korean Journal of Anesthesiology, vol. 52, no. 3, pp. 253-261, 2007. DOI: https://doi.org/10.4097/kjae.2007.52.3.253
  16. A. Mateen, and Q. Zhu, S. Afsar. Record keeping system of bugs for software quality assurance, International journal of advanced smart convergence, Vol. 8, No. 4, PP. 207-213, 2019. https://doi.org/10.7236/IJASC.2019.8.4.207
  17. N. Y. Kim, and S. D. Kim, "Adaptive Recommendation System for Health Screening based on Machine Learning," International journal of advanced smart convergence, vol. 9 no. 2, pp. 1-7, 2020 DOI: http://dx.doi.org/10.7236/IJASC.2020.9.2.1
  18. G. M. Kim, "A Case Study on Smart Concentrations Using ICT Convergence Technology," International journal of advanced smart convergence, vol. 8 no. 1, pp. 159-165, 2019 DOI: http://dx.doi.org/10.7236/IJASC.2019.8.1.159