Monitoring of Cerebral Blood Flow Autoregulation after Cardiac Arrest
<i>Background:</i> Cardiac arrest remains one of the leading causes of death. After successful resuscitation of patients in cardiac arrest, post-cardiac arrest syndrome develops, part of it being an impaired cerebral blood flow autoregulation. Monitoring cerebral blood flow autoregulatio...
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MDPI AG
2024-08-01
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| author | Rok Petrovčič Martin Rakusa Andrej Markota |
| author_facet | Rok Petrovčič Martin Rakusa Andrej Markota |
| author_sort | Rok Petrovčič |
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| description | <i>Background:</i> Cardiac arrest remains one of the leading causes of death. After successful resuscitation of patients in cardiac arrest, post-cardiac arrest syndrome develops, part of it being an impaired cerebral blood flow autoregulation. Monitoring cerebral blood flow autoregulation after cardiac arrest is important for optimizing patient care and prognosticating patients’ survival, yet remains a challenge. There are still gaps in clinical implications and everyday use. In this article, we present a systematic review of studies with different methods of monitoring cerebral blood flow autoregulation after non-traumatic cardiac arrest. <i>Methods</i>: A comprehensive literature search was performed from 1 June 2024 to 27 June 2024 by using multiple databases: PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials. Inclusion criteria were studies with an included description of the measurement of cerebral blood flow autoregulation in adult patients after non-traumatic cardiac arrest. <i>Results:</i> A total of 16 studies met inclusion criteria. Our data show that the most used methods in the reviewed studies were near-infrared spectroscopy and transcranial Doppler. The most used mathematical methods for calculating cerebral autoregulation were cerebral oximetry index, tissue oxygenation reactivity index, and mean flow index. <i>Conclusions:</i> The use of various monitoring and mathematical methods for calculating cerebral blood flow autoregulation poses a challenge for standardization, validation, and daily use in clinical practice. In the future studies, focus should be considered on clinical validation and transitioning autoregulation monitoring techniques to everyday clinical practice, which could improve the survival outcomes of patients after cardiac arrest. |
| format | Article |
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| institution | OA Journals |
| issn | 1010-660X 1648-9144 |
| language | English |
| publishDate | 2024-08-01 |
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| spelling | doaj-art-b9b12f37222044afb389bca91f7260b12025-08-20T01:55:38ZengMDPI AGMedicina1010-660X1648-91442024-08-01609138110.3390/medicina60091381Monitoring of Cerebral Blood Flow Autoregulation after Cardiac ArrestRok Petrovčič0Martin Rakusa1Andrej Markota2Emergency Department, University Medical Centre Maribor, Ljubljanska ulica 5, 2000 Maribor, SloveniaDepartment of Neurologic Diseases, University Medical Centre Maribor, Ljubljanska ulica 5, 2000 Maribor, SloveniaDepartment of Intensive Internal Medicine, Division of Internal Medicine, University Medical Centre Maribor, Ljubljanska ulica 5, 2000 Maribor, Slovenia<i>Background:</i> Cardiac arrest remains one of the leading causes of death. After successful resuscitation of patients in cardiac arrest, post-cardiac arrest syndrome develops, part of it being an impaired cerebral blood flow autoregulation. Monitoring cerebral blood flow autoregulation after cardiac arrest is important for optimizing patient care and prognosticating patients’ survival, yet remains a challenge. There are still gaps in clinical implications and everyday use. In this article, we present a systematic review of studies with different methods of monitoring cerebral blood flow autoregulation after non-traumatic cardiac arrest. <i>Methods</i>: A comprehensive literature search was performed from 1 June 2024 to 27 June 2024 by using multiple databases: PubMed, Web of Science, and the Cochrane Central Register of Controlled Trials. Inclusion criteria were studies with an included description of the measurement of cerebral blood flow autoregulation in adult patients after non-traumatic cardiac arrest. <i>Results:</i> A total of 16 studies met inclusion criteria. Our data show that the most used methods in the reviewed studies were near-infrared spectroscopy and transcranial Doppler. The most used mathematical methods for calculating cerebral autoregulation were cerebral oximetry index, tissue oxygenation reactivity index, and mean flow index. <i>Conclusions:</i> The use of various monitoring and mathematical methods for calculating cerebral blood flow autoregulation poses a challenge for standardization, validation, and daily use in clinical practice. In the future studies, focus should be considered on clinical validation and transitioning autoregulation monitoring techniques to everyday clinical practice, which could improve the survival outcomes of patients after cardiac arrest.https://www.mdpi.com/1648-9144/60/9/1381cardiac arrestcerebral blood flowautoregulationmonitoringpost-cardiac arrest syndrome |
| spellingShingle | Rok Petrovčič Martin Rakusa Andrej Markota Monitoring of Cerebral Blood Flow Autoregulation after Cardiac Arrest Medicina cardiac arrest cerebral blood flow autoregulation monitoring post-cardiac arrest syndrome |
| title | Monitoring of Cerebral Blood Flow Autoregulation after Cardiac Arrest |
| title_full | Monitoring of Cerebral Blood Flow Autoregulation after Cardiac Arrest |
| title_fullStr | Monitoring of Cerebral Blood Flow Autoregulation after Cardiac Arrest |
| title_full_unstemmed | Monitoring of Cerebral Blood Flow Autoregulation after Cardiac Arrest |
| title_short | Monitoring of Cerebral Blood Flow Autoregulation after Cardiac Arrest |
| title_sort | monitoring of cerebral blood flow autoregulation after cardiac arrest |
| topic | cardiac arrest cerebral blood flow autoregulation monitoring post-cardiac arrest syndrome |
| url | https://www.mdpi.com/1648-9144/60/9/1381 |
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