Donate Help Contact The AHA Sign In Home
American Heart Association
Stroke
Search: search_blue_button Advanced Search
Stroke. 2000;31:2163-2167

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Torbey, M. T.
Right arrow Articles by Recht, L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Torbey, M. T.
Right arrow Articles by Recht, L.
Related Collections
Right arrow CPR and emergency cardiac care
Right arrow CT and MRI
Right arrow Computerized tomography and Magnetic Resonance Imaging

(Stroke. 2000;31:2163.)
© 2000 American Heart Association, Inc.


Original Contributions

Quantitative Analysis of the Loss of Distinction Between Gray and White Matter in Comatose Patients After Cardiac Arrest

Presented in part at the 51st annual meeting of the American Academy of Neurology, Toronto, Canada, April 17–24, 1999.

M. T. Torbey, MD, MPH; M. Selim, MD, PhD; J. Knorr, DO; C. Bigelow, PhD L. Recht, MD

From the Departments of Neurology (M.T.T, M.S., L.R.), Radiology (J.K.), and Public Health (C.B.), University of Massachusetts Medical School, Worcester.

Correspondence to L. Recht, MD, Department of Neurology, University of Massachusetts Medical School, 55 Lake Ave N, Worcester MA 01655. E-mail RechtL{at}ummhc.org

Background and Purpose—Anecdotal reports suggest that a loss of distinction between gray (GM) and white matter (WM) as adjudged by CT scan predicts poor outcome in comatose patients after cardiac arrest. To address this, we quantitatively assessed GM and WM intensities at various brain levels in comatose patients after cardiac arrest.

Methods—Patients for whom consultation was requested within 24 hours of a cardiac arrest were identified with the use of a computerized database that tracks neurological consultations at our institution. Twenty-five comatose patients were identified for whom complete medical records and CT scans were available for review. Twenty-five consecutive patients for whom a CT scan was interpreted as normal served as controls. Hounsfield units (HUs) were measured in small defined areas obtained from axial images at the levels of the basal ganglia, centrum semiovale, and high convexity area.

Results—At each level tested, lower GM intensity and higher WM intensity were noted in comatose patients compared with normal controls. The GM/WM ratio was significantly lower among comatose patients compared with controls (P<0.0001, rank sum test). There was essentially no overlap in GM/WM ratios between control and study patients. The difference was greatest at the basal ganglia level. We also observed a marginally significant difference in the GM/WM ratio at the basal ganglia level between those patients who died and those who survived cardiac arrest (P=0.035, 1-tailed t test). Using receiver operating characteristic curve analysis, we determined that a difference in GM/WM ratio of <1.18 at the basal ganglia level was 100% predictive of death. At the basal ganglia level, none of 12 patients below this threshold survived, whereas the survival rate was 46% among patients in whom the ratio was >1.18. The empirical risk of death was 21.67 for comatose patients with a value below threshold.

Conclusions—The ratio in HUs of GM to WM provides a reproducible measure of the distinction between gray and white matter. A lower GM/WM ratio is observed in comatose patients immediately after cardiac arrest. The basal ganglia level seems to be the most sensitive location on CT for measuring this relationship. Although a GM/WM ratio <1.18 at this level predicted death in this retrospective study, the difference in this study is not robust enough to recommend that management decisions be dictated by CT results. The results, however, do warrant consideration of a prospective study to determine the reliability of CT scanning in predicting outcome for comatose patients after cardiac arrest.


Key Words: coma • heart arrest • prognosis • tomography, x-ray computed




This article has been cited by other articles:


Home page
NEJMHome page
G. B. Young
Neurologic Prognosis after Cardiac Arrest
N. Engl. J. Med., August 6, 2009; 361(6): 605 - 611.
[Full Text] [PDF]


Home page
CirculationHome page
R. W. Neumar, J. P. Nolan, C. Adrie, M. Aibiki, R. A. Berg, B. W. Bottiger, C. Callaway, R. S.B. Clark, R. G. Geocadin, E. C. Jauch, et al.
Post-Cardiac Arrest Syndrome: Epidemiology, Pathophysiology, Treatment, and Prognostication A Consensus Statement From the International Liaison Committee on Resuscitation (American Heart Association, Australian and New Zealand Council on Resuscitation, European Resuscitation Council, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Council of Asia, and the Resuscitation Council of Southern Africa); the American Heart Association Emergency Cardiovascular Care Committee; the Council on Cardiovascular Surgery and Anesthesia; the Council on Cardiopulmonary, Perioperative, and Critical Care; the Council on Clinical Cardiology; and the Stroke Council
Circulation, December 2, 2008; 118(23): 2452 - 2483.
[Full Text] [PDF]


Home page
Emerg. Med. J.Home page
S P Choi, H K Park, K N Park, Y M Kim, K J Ahn, K H Choi, W J Lee, and S K Jeong
The density ratio of grey to white matter on computed tomography as an early predictor of vegetative state or death after cardiac arrest
Emerg. Med. J., October 1, 2008; 25(10): 666 - 669.
[Abstract] [Full Text] [PDF]


Home page
NeurologyHome page
E.F.M. Wijdicks, A. Hijdra, G. B. Young, C. L. Bassetti, and S. Wiebe
Practice parameter: prediction of outcome in comatose survivors after cardiopulmonary resuscitation (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology.
Neurology, July 25, 2006; 67(2): 203 - 210.
[Abstract] [Full Text] [PDF]


Home page
Emerg. Med. J.Home page
P Kaye
Early prediction of individual outcome following cardiopulmonary resuscitation: systematic review
Emerg. Med. J., October 1, 2005; 22(10): 700 - 705.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
T. Hirai, K. Suginohara, S. Uemura, J.-i. Hamada, Y. Korogi, and M. Takahashi
Management of aneurysm perforation during Guglielmi electrodetachable coil placement.
AJNR Am. J. Neuroradiol., April 1, 2002; 23(4): 738 - 739.
[Full Text] [PDF]