Comparison of different metrics of cerebral autoregulation in association with major morbidity and mortality after cardiac surgery
Cardiac surgery studies have established the clinical relevance of personalised arterial blood pressure management based on cerebral autoregulation. However, variabilities exist in autoregulation evaluation. We compared the association of several cerebral autoregulation metrics, calculated using dif...
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Published in | British journal of anaesthesia : BJA Vol. 129; no. 1; pp. 22 - 32 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
Elsevier Ltd
01.07.2022
Elsevier |
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Abstract | Cardiac surgery studies have established the clinical relevance of personalised arterial blood pressure management based on cerebral autoregulation. However, variabilities exist in autoregulation evaluation. We compared the association of several cerebral autoregulation metrics, calculated using different methods, with outcomes after cardiac surgery.
Autoregulation was measured during cardiac surgery in 240 patients. Mean flow index and cerebral oximetry index were calculated as Pearson's correlations between mean arterial pressure (MAP) and transcranial Doppler blood flow velocity or near-infrared spectroscopy signals. The lower limit of autoregulation and optimal mean arterial pressure were identified using mean flow index and cerebral oximetry index. Regression models were used to examine associations of area under curve and duration of mean arterial pressure below thresholds with stroke, acute kidney injury (AKI), and major morbidity and mortality.
Both mean flow index and cerebral oximetry index identified the cerebral lower limit of autoregulation below which MAP was associated with a higher incidence of AKI and major morbidity and mortality. Based on magnitude and significance of the estimates in adjusted models, the area under curve of MAP < lower limit of autoregulation had the strongest association with AKI and major morbidity and mortality. The odds ratio for area under the curve of MAP < lower limit of autoregulation was 1.05 (95% confidence interval, 1.01–1.09), meaning every 1 mm Hg h increase of area under the curve was associated with an average increase in the odds of AKI by 5%.
For cardiac surgery patients, area under curve of MAP < lower limit of autoregulation using mean flow index or cerebral oximetry index had the strongest association with AKI and major morbidity and mortality. Trials are necessary to evaluate this target for MAP management. |
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AbstractList | Cardiac surgery studies have established the clinical relevance of personalised arterial blood pressure management based on cerebral autoregulation. However, variabilities exist in autoregulation evaluation. We compared the association of several cerebral autoregulation metrics, calculated using different methods, with outcomes after cardiac surgery.
Autoregulation was measured during cardiac surgery in 240 patients. Mean flow index and cerebral oximetry index were calculated as Pearson's correlations between mean arterial pressure (MAP) and transcranial Doppler blood flow velocity or near-infrared spectroscopy signals. The lower limit of autoregulation and optimal mean arterial pressure were identified using mean flow index and cerebral oximetry index. Regression models were used to examine associations of area under curve and duration of mean arterial pressure below thresholds with stroke, acute kidney injury (AKI), and major morbidity and mortality.
Both mean flow index and cerebral oximetry index identified the cerebral lower limit of autoregulation below which MAP was associated with a higher incidence of AKI and major morbidity and mortality. Based on magnitude and significance of the estimates in adjusted models, the area under curve of MAP < lower limit of autoregulation had the strongest association with AKI and major morbidity and mortality. The odds ratio for area under the curve of MAP < lower limit of autoregulation was 1.05 (95% confidence interval, 1.01–1.09), meaning every 1 mm Hg h increase of area under the curve was associated with an average increase in the odds of AKI by 5%.
For cardiac surgery patients, area under curve of MAP < lower limit of autoregulation using mean flow index or cerebral oximetry index had the strongest association with AKI and major morbidity and mortality. Trials are necessary to evaluate this target for MAP management. BACKGROUNDCardiac surgery studies have established the clinical relevance of personalised arterial blood pressure management based on cerebral autoregulation. However, variabilities exist in autoregulation evaluation. We compared the association of several cerebral autoregulation metrics, calculated using different methods, with outcomes after cardiac surgery. METHODSAutoregulation was measured during cardiac surgery in 240 patients. Mean flow index and cerebral oximetry index were calculated as Pearson's correlations between mean arterial pressure (MAP) and transcranial Doppler blood flow velocity or near-infrared spectroscopy signals. The lower limit of autoregulation and optimal mean arterial pressure were identified using mean flow index and cerebral oximetry index. Regression models were used to examine associations of area under curve and duration of mean arterial pressure below thresholds with stroke, acute kidney injury (AKI), and major morbidity and mortality. RESULTSBoth mean flow index and cerebral oximetry index identified the cerebral lower limit of autoregulation below which MAP was associated with a higher incidence of AKI and major morbidity and mortality. Based on magnitude and significance of the estimates in adjusted models, the area under curve of MAP < lower limit of autoregulation had the strongest association with AKI and major morbidity and mortality. The odds ratio for area under the curve of MAP < lower limit of autoregulation was 1.05 (95% confidence interval, 1.01-1.09), meaning every 1 mm Hg h increase of area under the curve was associated with an average increase in the odds of AKI by 5%. CONCLUSIONSFor cardiac surgery patients, area under curve of MAP < lower limit of autoregulation using mean flow index or cerebral oximetry index had the strongest association with AKI and major morbidity and mortality. Trials are necessary to evaluate this target for MAP management. |
Author | Akiyoshi, Kei Koehler, Raymond C. Liu, Xiuyun Donnelly, Joseph Brown, Charles H. Bush, Brian Lee, Jennifer K. Brady, Ken M. Smielewski, Peter Hogue, Charles W. Czosnyka, Marek |
Author_xml | – sequence: 1 givenname: Xiuyun surname: Liu fullname: Liu, Xiuyun email: liuxiuyun1@gmail.com organization: Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA – sequence: 2 givenname: Joseph surname: Donnelly fullname: Donnelly, Joseph organization: Department of Anaesthesiology, University of Auckland, Auckland, New Zealand – sequence: 3 givenname: Ken M. surname: Brady fullname: Brady, Ken M. organization: Department of Anesthesiology, Northwestern University, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA – sequence: 4 givenname: Kei surname: Akiyoshi fullname: Akiyoshi, Kei organization: Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA – sequence: 5 givenname: Brian surname: Bush fullname: Bush, Brian organization: Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA – sequence: 6 givenname: Raymond C. surname: Koehler fullname: Koehler, Raymond C. organization: Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA – sequence: 7 givenname: Jennifer K. surname: Lee fullname: Lee, Jennifer K. organization: Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA – sequence: 8 givenname: Charles W. surname: Hogue fullname: Hogue, Charles W. organization: Department of Anesthesiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA – sequence: 9 givenname: Marek surname: Czosnyka fullname: Czosnyka, Marek organization: Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK – sequence: 10 givenname: Peter surname: Smielewski fullname: Smielewski, Peter organization: Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK – sequence: 11 givenname: Charles H. surname: Brown fullname: Brown, Charles H. email: cbrownv@jhmi.edu organization: Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35597624$$D View this record in MEDLINE/PubMed |
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Keywords | data visualisation cardio pulmonary bypass cerebral autoregulation individualised blood pressure management organ injury acute kidney injury major morbidity, mortality postoperative outcome |
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Snippet | Cardiac surgery studies have established the clinical relevance of personalised arterial blood pressure management based on cerebral autoregulation. However,... BACKGROUNDCardiac surgery studies have established the clinical relevance of personalised arterial blood pressure management based on cerebral autoregulation.... |
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SubjectTerms | acute kidney injury Acute Kidney Injury - etiology Benchmarking Blood Pressure - physiology Cardiac Surgical Procedures cardio pulmonary bypass Cardiopulmonary Bypass - methods Cardiovascular cerebral autoregulation Cerebrovascular Circulation - physiology data visualisation Homeostasis - physiology Humans individualised blood pressure management major morbidity, mortality Monitoring, Intraoperative - methods Morbidity organ injury Oximetry - methods postoperative outcome |
Title | Comparison of different metrics of cerebral autoregulation in association with major morbidity and mortality after cardiac surgery |
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