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Monitoring tissue oxygenation by near infrared spectroscopy (NIRS): background and current applications
Open accessAbstract
Conventional cardiovascular monitoring may not detect tissue hypoxia, and conventional cardiovascular support aiming at global hemodynamics may not restore tissue oxygenation. NIRS offers non-invasive online monitoring of tissue oxygenation in a wide range of clinical scenarios. NIRS monitoring is commonly used to measure cerebral oxygenation (rSO(2)), e.g. during cardiac surgery. In this review, we will show that tissue hypoxia occurs frequently in the perioperative setting, particularly in cardiac surgery. Therefore, measuring and obtaining adequate tissue oxygenation may prevent (postoperative) complications and may thus be cost-effective. NIRS monitoring may also be used to detect tissue hypoxia in (prehospital) emergency settings, where it has prognostic significance and enables monitoring of therapeutic interventions, particularly in patients with trauma. However, optimal therapeutic agents and strategies for augmenting tissue oxygenation have yet to be determined.
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Cited by
Oxygen Regulation in Development: Lessons from Embryogenesis towards Tissue Engineering
Fathollahipour, S., Patil, P. S., & Leipzig, N. D. (2018) · Cells Tissues Organs · doi:10.1159/000493162 · Cited by 101
Weber, F., & Scoones, G. P. (2019) · Pediatric Anesthesia · doi:10.1111/pan.13726 · Cited by 53
Steenhaut, K., Lapage, K., Bové, T., De Hert, S., & Moerman, A. (2017) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-016-9962-1 · Cited by 41
Reliability of NIRS portable device for measuring intercostal muscles oxygenation during exercise
Contreras-Briceño, F., Espinosa-Ramirez, M., Hevia, G., Llambias, D., Carrasco, M., Cerda, F., López-Fuenzalida, A., García, P., Gabrielli, L., & Viscor, G. (2019) · Journal of Sports Sciences · doi:10.1080/02640414.2019.1653422 · Cited by 40
Movement artefact removal from NIRS signal using multi-channel IMU data
Siddiquee, M. R., Marquez, J. S., Atri, R., Ramon, R., Perry Mayrand, R., & Bai, O. (2018) · BioMedical Engineering OnLine · doi:10.1186/s12938-018-0554-9 · Cited by 33
Nygren, A., Rennerfelt, K., & Zhang, Q. (2014) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-013-9494-x · Cited by 33
Lee, J.-H., Park, Y.-H., Kim, H.-S., & Kim, J.-T. (2015) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-014-9595-1 · Cited by 20
Rębiś, K., Kowalski, T., Michalik, K., & Klusiewicz, A. (2024) · Sports · doi:10.3390/sports12120351 · Cited by 3
Metadata
- Authors
- Scheeren, T. W. L., Schober, P., & Schwarte, L. A.
- Venue
- Journal of Clinical Monitoring and Computing
- Published
- 2012-03-31
- Volume
- 26
- Issue
- 4
- Pages
- 279-287
- ISSN
- 1387-1307 (ISSN-L)
- 1573-2614
- OpenAlex
- W2064658153
- Cited by
- 478
- References
- 0
- FWCI
- 18.69
- Type
- journal article
- Language
- en
- Open access
- hybrid
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