24-Hour Near-Infrared Spectroscopy Monitoring of Acute Ischaemic Stroke Patients Undergoing Thrombolysis or Thrombectomy
Monitoring of acute ischaemic stroke patients during thrombolysis or thrombectomy is based mostly on frequent physical examinations, since no objective measurement of cerebrovascular haemodynamics is available in routine clinical practice. Near-infrared spectroscopy (NIRS) is a bed-side, noninvasive...
Elmentve itt :
Szerzők: | |
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Dokumentumtípus: | Cikk |
Megjelent: |
2019
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Sorozat: | JOURNAL OF STROKE AND CEREBROVASCULAR DISEASES
28 No. 8 |
doi: | 10.1016/j.jstrokecerebrovasdis.2019.05.026 |
mtmt: | 30855047 |
Online Access: | http://publicatio.bibl.u-szeged.hu/17354 |
Tartalmi kivonat: | Monitoring of acute ischaemic stroke patients during thrombolysis or thrombectomy is based mostly on frequent physical examinations, since no objective measurement of cerebrovascular haemodynamics is available in routine clinical practice. Near-infrared spectroscopy (NIRS) is a bed-side, noninvasive assessment tool that could help monitor these patients and potentially guide therapeutic interventions. Our goal in this pilot study was to investigate whether NIRS is a suitable method to monitor leptomeningeal collateral circulation via changes in cortical oxygen saturation in the first 24 hours of acute ischaemic stroke.Our study included 5 patients with acute anterior circulation infarcts. All patients received thrombolytic therapy and 1 had thrombectomy. 24-hour continuous NIRS monitoring was performed on all participants.We aimed to give a detailed description of each NIRS recording and explain how the observed findings could correlate with changes in anterior watershed territory collateral circulation and clinical outcome.Our pilot study supports the use of NIRS monitoring in acute ischaemic stroke. We believe that this technique could provide real-time information on the dynamic changes of leptomeningeal collateral circulation and help monitor the effects of thrombolysis and thrombectomy. |
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Terjedelem/Fizikai jellemzők: | 2337-2342 |
ISSN: | 1052-3057 |