Detection of Impaired Cerebral Autoregulation Using Selected Correlation Analysis: A Validation Study
المؤلفون المشاركون
Faltermeier, Rupert
Proescholdt, Martin A.
Brawanski, Alexander
Bele, S.
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-31
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Multimodal brain monitoring has been utilized to optimize treatment of patients with critical neurological diseases.
However, the amount of data requires an integrative tool set to unmask pathological events in a timely fashion.
Recently we have introduced a mathematical model allowing the simulation of pathophysiological conditions such as reduced intracranial compliance and impaired autoregulation.
Utilizing a mathematical tool set called selected correlation analysis (sca), correlation patterns, which indicate impaired autoregulation, can be detected in patient data sets (scp).
In this study we compared the results of the sca with the pressure reactivity index (PRx), an established marker for impaired autoregulation.
Mean PRx values were significantly higher in time segments identified as scp compared to segments showing no selected correlations (nsc).
The sca based approach predicted cerebral autoregulation failure with a sensitivity of 78.8% and a specificity of 62.6%.
Autoregulation failure, as detected by the results of both analysis methods, was significantly correlated with poor outcome.
Sca of brain monitoring data detects impaired autoregulation with high sensitivity and sufficient specificity.
Since the sca approach allows the simultaneous detection of both major pathological conditions, disturbed autoregulation and reduced compliance, it may become a useful analysis tool for brain multimodal monitoring data.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Proescholdt, Martin A.& Faltermeier, Rupert& Bele, S.& Brawanski, Alexander. 2017. Detection of Impaired Cerebral Autoregulation Using Selected Correlation Analysis: A Validation Study. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142382
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Proescholdt, Martin A.…[et al.]. Detection of Impaired Cerebral Autoregulation Using Selected Correlation Analysis: A Validation Study. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1142382
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Proescholdt, Martin A.& Faltermeier, Rupert& Bele, S.& Brawanski, Alexander. Detection of Impaired Cerebral Autoregulation Using Selected Correlation Analysis: A Validation Study. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1142382
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142382
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر