Brain computed tomography angiography in postcardiac arrest patients and neurologic outcome
Clinical and Experimental Emergency Medicine
;
(4): 297-302, 2019.
Article
in English
| WPRIM
| ID: wpr-785633
ABSTRACT
OBJECTIVE:
This study aimed to analyze intracranial vessels using brain computed tomography angiography (CTA) and scoring systems to diagnose brain death and predict poor neurologic outcomes of postcardiac arrest patients.METHODS:
Initial brain CTA images of postcardiac arrest patients were analyzed using scoring systems to determine a lack of opacification and diagnose brain death. The primary outcome was poor neurologic outcome, which was defined as cerebral performance category score 3 to 5. The frequency, sensitivity, specificity, positive predictive value, negative predictive value, and area under receiver operating characteristic curve for the lack of opacification of each vessel and for each scoring system used to predict poor neurologic outcomes were determined.RESULTS:
Patients with poor neurologic outcomes lacked opacification of the intracranial vessels, most commonly in the vein of Galen, both internal cerebral veins, and the mid cerebral artery (M4). The 7-score results (P=0.04) and 10-score results were significantly different (P=0.04) between outcome groups, with an area under receiver operating characteristic of 0.61 (range, 0.48 to 0.72). The lack of opacification of each intracranial vessel and all scoring systems exhibited high specificity (100%) and positive predictive values (100%) for predicting poor neurologic outcomes.CONCLUSION:
Lack of opacification of vessels on brain CTA exhibited high specificity for predicting poor neurologic outcomes of patients after cardiac arrest.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Cerebral Veins
/
Brain
/
Brain Death
/
Angiography
/
Cerebral Arteries
/
ROC Curve
/
Sensitivity and Specificity
/
Heart Arrest
/
Hypothermia
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Clinical and Experimental Emergency Medicine
Year:
2019
Type:
Article
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