Brain Arteriovenous Malformation Multiplicity Predicts the Diagnosis of Hereditary Hemorrhagic Telangiectasia

Author:

Bharatha Aditya1,Faughnan Marie E.1,Kim Helen1,Pourmohamad Tony1,Krings Timo1,Bayrak-Toydemir Pinar1,Pawlikowska Ludmila1,McCulloch Charles E.1,Lawton Michael T.1,Dowd Christopher F.1,Young William L.1,Terbrugge Karel G.1

Affiliation:

1. From the Division of Neuroradiology (A.B.), Department of Medical Imaging, St Michael's Hospital, University of Toronto, Toronto, Canada; Division of Neuroradiology (T.K., K.G.T.), Department of Medical Imaging, Toronto Western Hospital, University of Toronto, Toronto, Canada; Division of Respirology (M.E.F.) and Keenan Research Centre and Li Ka Shing Knowledge Institute (M.E.F.), St Michael's Hospital, University of Toronto, Toronto, Ontario Canada; the Division of Respirology (M.E.F.), Department...

Abstract

Background and Purpose— The purpose of this study was to quantitatively estimate the relationship between multiplicity of brain arteriovenous malformations (bAVMs) and the diagnosis of hereditary hemorrhagic telangiectasia (HHT). Methods— We combined databases from 2 large North American bAVM referral centers, including demographics, clinical presentation, and angiographic characteristics, and compared patients with HHT with non-HHT patients. Logistic regression analysis was performed to quantify the association between bAVM multiplicity and odds of HHT diagnosis. Sensitivity, specificity, positive and negative predictive value, and positive and negative likelihood ratios were calculated to determine accuracy of bAVM multiplicity for screening HHT. Results— Prevalence of HHT was 2.8% in the combined group. bAVM multiplicity was present in 39% of patients with HHT and was highly associated with diagnosis of HHT in univariate (OR, 83; 95% CI, 40–173; P <0.0001) and multivariable (OR, 86; 95% CI, 38–195; P <0.001) models adjusting for age at presentation ( P =0.013), symptomatic presentation ( P =0.029), and cohort site ( P =0.021). bAVM multiplicity alone was associated with high specificity (99.2%; 95% CI, 98.7%–99.6%) and negative predictive value (98.3%; 95% CI, 97.6%–98.8%) and low sensitivity (39.3%; 95% CI, 26.5%–53.2%) and positive predictive value (59.5%; 95% CI, 42.1%–75.2%). Positive and negative likelihood ratio was 51 and 0.61, respectively, for diagnosis of HHT. HHT bAVMs were also more often smaller in size (<3 cm), noneloquent in location, and associated with superficial venous drainage compared with non-HHT bAVMs. Conclusions— Multiplicity of bAVMs is highly predictive of the diagnosis of HHT. The presence of multiple bAVMs should alert the clinician to the high probability of HHT and lead to comprehensive investigation for this diagnosis.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialised Nursing,Cardiology and Cardiovascular Medicine,Clinical Neurology

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