Volume 42, Issue 5 pp. 699-704
Original Article
Full Access

Long-term stroke risk in children with sickle cell disease screened with transcranial doppler

Dr. R. J. Adams MD

Corresponding Author

Dr. R. J. Adams MD

Department of Neurology, Medical College of Georgia, Augusta, GA

Department of Neurology, HB2060, Medical College of Georgia, Augusta, GA 30912Search for more papers by this author
V. C. McKie MD

V. C. McKie MD

Department of Pediatrics, Medical College of Georgia, Augusta, GA

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E. M. Carl BA

E. M. Carl BA

Department of Neurology, Medical College of Georgia, Augusta, GA

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F. T. Nichols MD

F. T. Nichols MD

Department of Neurology, Medical College of Georgia, Augusta, GA

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R. Perry PhD

R. Perry PhD

Department of Neurology, Medical College of Georgia, Augusta, GA

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K. Brock RN

K. Brock RN

Department of Pediatrics, Medical College of Georgia, Augusta, GA

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K. McKie MD

K. McKie MD

Department of Pediatrics, Medical College of Georgia, Augusta, GA

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R. Figueroa MD

R. Figueroa MD

Department of Radiology, Medical College of Georgia, Augusta, GA

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M. Litaker PhD

M. Litaker PhD

Department of Biostatistics, Medical College of Georgia, Augusta, GA

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S. Weiner MS

S. Weiner MS

New England Research Institutes, Watertown, MA

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D. Brambilla PhD

D. Brambilla PhD

New England Research Institutes, Watertown, MA

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First published: 08 October 2004
Citations: 314

Abstract

Stroke is an important complication of sickle cell disease. Stroke prediction is clinically important because it offers the possibility of primary prevention. In 1992, transcranial Doppler (TCD) evidence of elevated intracranial internal carotid or middle cerebral artery velocity was demonstrated to be associated strongly with an increased risk of ischemic stroke. This study extends the original study and includes 125 more children, longer follow-up, and intracranial hemorrhage in the stroke-risk model. Elevated time averaged mean maximum blood flow velocity, especially when velocity is 200 cm/sec or greater by TCD, was associated strongly with stroke risk. The cases not predicted by TCD point to the need for more information on the optimal timing of TCD surveillance for stroke risk.

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