Modifiable Cardiovascular Risk Factors in Patients With Sporadic Cerebral Cavernous Malformations

Author:

Chen Bixia1ORCID,Saban Dino1ORCID,Rauscher Steffen1,Herten Annika1ORCID,Rauschenbach Laurèl1,Santos Alejandro1,Li Yan2,Schmidt Boerge3,Zhu Yuan1,Jabbarli Ramazan1ORCID,Wrede Karsten H.1ORCID,Kleinschnitz Christoph4ORCID,Sure Ulrich1,Dammann Philipp1

Affiliation:

1. Department of Neurosurgery and Spine Surgery (B.C., D.S., S.R., A.H., L.R., A.S., Y.Z., R.J., K.H.W., U.S., P.D.), University Hospital Essen, University of Duisburg-Essen, Germany.

2. Institute of Diagnostic and Interventional Radiology and Neuroradiology (Y.L.), University Hospital Essen, University of Duisburg-Essen, Germany.

3. Institute for Medical Informatics, Biometry and Epidemiology (B.S.), University Hospital Essen, University of Duisburg-Essen, Germany.

4. Department of Neurology (C.K.), University Hospital Essen, University of Duisburg-Essen, Germany.

Abstract

Background and Purpose: This study aims to assess the influence of modifiable cardiovascular risk factors on hemorrhage risk of sporadic cerebral cavernous malformations (CCMs). Methods: From 1219 consecutive CCM patients (2003–2018), adult subjects with sporadic CCM and complete magnetic resonance imaging were included. We evaluated presence of intracerebral hemorrhage (ICH) as mode of presentation, occurrence of ICH during follow-up and risk factors arterial hypertension, diabetes, hyperlipidemia, nicotine abuse, and obesity (body mass index >30 kg/m 2 ). Impact of risk factors on ICH at presentation was calculated using univariate and multivariate logistic regression with age and sex adjustment. We performed Kaplan-Meier and Cox regression to analyze cumulative 5-year risk for (re)bleeding. Results: We included 682 patients with CCM. The univariate logistic regression showed a significant relationship (odds ratio=1.938 [95% CI, 1.120–3.353], P =0.018) between obesity and ICH as mode of presentation. Multivariate adjusted logistic regression confirmed significant correlation with odds ratio=1.902 (95% CI, 1.024–3.532, P =0.042). Cox regression did not identify predictors for occurrence of (re)hemorrhage ( P >0.05; hazard ratios: arterial hypertension 1.112 [95% CI, 0.622–1.990], diabetes 0.850 [95% CI, 0.208–3.482], hyperlipidemia 0.719 [95% CI, 0.261–1.981], nicotine abuse 1.123 [95% CI, 0.591–2.134], and obesity 0.928 [95% CI, 0.416–2.070]). Conclusions: This study provides evidence that obesity may be a risk factor for CCM hemorrhage. It was significantly associated with ICH as mode of presentation. Other risk factors (arterial hypertension, diabetes, hyperlipidemia, and current nicotine abuse) showed no such effect. None of the factors showed to be independent predictors for cumulative 5-year risk of (re)bleeding.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

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

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