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. Author manuscript; available in PMC: 2016 May 1.
Published in final edited form as: Stroke. 2015 Apr 9;46(5):1362–1364. doi: 10.1161/STROKEAHA.114.007367

Hemorrhage Rates From Brain Arteriovenous Malformation in Hereditary Hemorrhagic Telangiectasia Patients

Helen Kim 1, Jeffrey Nelson 1, Timo Krings 1, Karel G terBrugge 1, Charles E McCulloch 1, Michael T Lawton 1, William L Young 1,, Marie E Faughnan 1; the Brain Vascular Malformation Consortium (BVMC) HHT Investigator Group1
PMCID: PMC4415515  NIHMSID: NIHMS672023  PMID: 25858236

Abstract

Background and Purpose

Hereditary hemorrhagic telangiectasia (HHT) is a systemic disease characterized by mucocutaneous telangiectasias, epistaxis, and arteriovenous malformations (AVM). Intracranial hemorrhage (ICH) rates in this population are not well described. We report ICH rates and characteristics in HHT patients with brain arteriovenous malformations (HHT-BAVM).

Methods

We studied the first 153 HHT-BAVM patients with follow-up data enrolled in the Brain Vascular Malformation Consortium HHT Project. We estimated ICH rates after BAVM diagnosis.

Results

The majority of patients were female (58%) and Caucasian (98%). The mean age at BAVM diagnosis was 31±19 years (range: 0–70), with 61% of cases diagnosed upon asymptomatic screening. Overall, 14% presented with ICH; among symptomatic cases, 37% presented ruptured. During 493 patient-years of follow-up, 5 ICH events occurred yielding a rate of 1.02% per-year (95% CI: 0.42–2.44%). ICH-free survival differed significantly by ICH presentation (P=0.003); ruptured cases had a higher ICH rate (10.07%, 95% CI: 3.25–31.21%) than unruptured cases (0.43%, 95% CI: 0.11–1.73%).

Conclusions

HHT-BAVM patients who present with hemorrhage are at a higher risk for re-hemorrhage compared to BAVMs detected pre-symptomatically.

Keywords: arteriovenous malformation, hereditary hemorrhagic telangiectasia, intracerebral hemorrhage, natural history, osler-weber rendu

Introduction

Hereditary Hemorrhagic Telangiectasia (HHT) is an autosomal dominant disease caused by mutations in transforming growth factor-beta signaling genes (ENG, ALK1, or SMAD4). HHT is characterized by mucocutaneous telangiectasia, frequent epistaxis, and organ arteriovenous malformations (AVM). HHT patients often have multiple brain AVMs (BAVM), which is highly predictive of HHT diagnosis.1 Prior series have suggested that HHT-BAVM patients may have a lower risk of intracranial hemorrhage (ICH) than sporadic BAVM patients.2 We describe hemorrhage rates and characteristics in HHT-BAVM patients enrolled in a multi-center study.

Methods

Study Population

HHT patients (n=932) were enrolled in the Brain Vascular Malformation Consortium (BVMC) HHT Project between April 2010 and June 2014 from 14 HHT Centers of Excellence (Supplementary Table I).3 Eligible HHT patients either had a genetic diagnosis (ENG, ALK1, or SMAD4 mutation) or a definite clinical diagnosis (≥3 following Curaçao criteria):4 (a) spontaneous recurrent nosebleeds; (b) mucocutaneous telangiectasia (lips, oral cavity, fingers or nose); (c) visceral AVM involvement (pulmonary, hepatic or brain); or (d) affected first-degree relative by same criteria. All HHT patients were screened for BAVM regardless of symptoms; BAVM was diagnosed by angiography, MRI, or surgical resection.

Data Collection

Data were collected retrospectively at study enrollment using AVM reporting guidelines,5 including age, sex, race, HHT gene mutation, presentation symptoms, hemorrhage at BAVM diagnosis or during follow-up (assessed retrospectively and prospectively from time of enrollment), and BAVM treatment type and date (Table 1). All patients were also prospectively followed annually for ICH events, new symptoms, and any new treatments up to 4 years after enrollment. ICH events are determined from clinicians during medical history, chart review and imaging where available.

Table 1.

Characteristics of 153 HHT-BAVM patients with follow-up.

Characteristic Summary*
Demographic
Age at enrollment (years) 40.0±19.0
Female sex 88/153 (58%)
Caucasian 146/149 (98%)

Clinical
Age at BAVM diagnosis (years) 30.7±19.1
Initial hemorrhagic presentation 22/153 (14%)
Anemia 53/145 (37%)
Epistaxis 136/147 (93%)
GI Bleeding 14/139 (10%)
Symptomatic Liver VM(s) 15/139 (11%)
Pulmonary AVM(s) 83/141 (59%)

Gene Mutation
ALK1 21/93 (23%)
ENG 65/93 (70%)
SMAD4 2/93 (2%)
all tests negative 5/93 (5%)

Survival
Survival time (years) 3.21±4.32
Event/Censor Cause
 Hemorrhage (Event) 5/153 (3%)
 Death 4/153 (3%)
 Last follow-up 56/153 (37%)
 Treatment 88/153 (58%)
*

mean±standard deviation or number with specified characteristic over number with non-missing information (percent)

Statistical Analysis

A total of 194 enrolled HHT patients had BAVM, and 153 had follow-up data. Follow-up time started after date of BAVM diagnosis until date of hemorrhage, censoring at date of first treatment, death, or last follow-up, and truncated at 15 years from diagnosis. ICH rates (# first ICH events/patient-years at risk × 100) and 95% confidence intervals (CI) were calculated using Stata (StataCorp v13.1; College Station, TX). Kaplan-Meier survival curves are presented by ICH presentation and log-rank test exact p-values were calculated in StatXact.6 To assess impact of missing data on ICH rates, we performed multiple imputation using chained equations in Stata,7 allowing us to include all 194 HHT-BAVM patients (Supplementary Figure I).

Results

Characteristics of our HHT-BAVM cohort are shown in Table 1 and are similar to other HHT populations.8, 9 The mean follow-up time was 3.2±4.3 years after BAVM diagnosis and mean age at BAVM diagnosis was 31±19 years (range: 0–70), with 61% of cases diagnosed from asymptomatic screening. Overall, 14% presented with ICH; among symptomatic cases, 37% presented initially with ICH.

A total of 5 ICH events occurred over 493 patient-years, yielding an overall ICH rate of 1.02% (95% CI: 0.42–2.44%) per-year. The ICH rate was significantly higher (P=0.003) for ruptured than unruptured cases at presentation (Figure 1). In ruptured cases, the annual ICH rate was 10.07% (95% CI: 3.25–31.21%); whereas the rate in unruptured cases was 0.43% (95% CI: 0.11–1.73%). Four of five ICH events occurred in females, but this was not statistically significant (P=0.556). Sensitivity analysis of imputed datasets resulted in similar ICH rates and 95% CIs (Supplementary Figure I).

Figure 1.

Figure 1

Kaplan-Meier survival curves of time-to-ICH in the natural history course of HHT-BAVM patients, by ICH presentation.

Discussion

This is the largest study to date examining hemorrhage risk in HHT patients with BAVM. Despite the small number of hemorrhages, the upper bound of our 95% CI limits the overall annual ICH rate in HHT-BAVM patients to <2.5% per-year, which is consistent with ICH rates from four large sporadic BAVM populations of 2.3% (95% CI: 2.0%–2.7%).10 A similar pattern is also observed in sporadic BAVM patients with an almost 4-fold higher ICH rate in ruptured (4.8%, 95% CI: 3.9%–5.9%) than unruptured (1.3%, 95% CI: 1.0%–1.7%) BAVMs at presentation.10

Only one prior study has directly quantified ICH risk in HHT-BAVM patients; Willemse et al2 identified 22 Dutch HHT patients with BAVMs (out of 196 screened) and reported an overall ICH rate of 0.41–0.72% per-year. The apparently lower ICH rate in HHT-BAVM has led some to speculate that the risk may be lower than for sporadic BAVM patients and more similar to that of unruptured sporadic BAVMs (1.3%10 to 2.2% per-year8). However, the HHT-BAVM and sporadic BAVM populations are markedly different with respect to how BAVMs are ascertained. In reported HHT populations, BAVMs are frequently identified upon asymptomatic screening after HHT diagnosis, contributing to the lower ICH rates. This study is the first to demonstrate a significant association with specific features of BAVM, specifically that HHT-BAVM patients presenting ruptured have higher re-rupture rates, similar to that seen for sporadic BAVM patients. Thus, depending on additional BAVM features, there may be subgroups of HHT-BAVM patients at higher or lower risk for hemorrhage. For example, HHT-BAVM patients often display multiple lesions as well as a range of other neurovascular phenotypes.1, 9

Our study had several limitations. The small number of ICH events precluded us from evaluating additional ICH risk factors, e.g., angiographic characteristics. Second, our results may be subject to selection bias, which may affect ICH rates. However, our calculations based on person-years of risk reflect current treatment practices for HHT-BAVM, and we observed similar patterns of ICH risk as for sporadic BAVM patients. Additionally, imputation analysis of missing data yielded strikingly similar ICH rates as those observed. Finally, our analysis did not consider per-lesion risk of hemorrhage at this time, which may also alter risk.

In summary, we found that ruptured HHT-BAVM patients have a higher risk of subsequent hemorrhage compared to those who present unruptured, similar to sporadic BAVM patients.

Supplementary Material

1

Acknowledgments

Sources of Funding

BVMC/U54 NS065705 (part of the Rare Diseases Clinical Research Network, and supported through collaboration between NIH Office of Rare Diseases Research at the National Center for Advancing Translational Science, and the National Institute of Neurological Disorders and Stroke); Nelson Arthur Hyland Foundation, and Li Ka Shing Knowledge Institute (M.E.F.).

Appendix

BVMC HHT Investigator Group

Murali Chakinala, Marie E. Faughnan, James R. Gossage, Katharine Henderson, Vivek Iyer, Raj Kasthuri, Helen Kim, Timo Krings, Michael T. Lawton, Doris Lin, Johannes Jurgen Mager, Justin McWilliams, Jamie McDonald, Ludmila Pawlikowska, Jeffrey Pollak, Felix Ratjen, Karen Swanson, Karel terBrugge, Dilini Vethanayagam, Andrew White, Robert I. White Jr., Pearce Wilcox, William L. Young

Footnotes

Disclosures

None

References

  • 1.Bharatha A, Faughnan ME, Kim H, Pourmohamad T, Krings T, Bayrak-Toydemir P, et al. Brain arteriovenous malformation multiplicity predicts the diagnosis of hereditary hemorrhagic telangiectasia: quantitative assessment. Stroke. 2012;43:72–78. doi: 10.1161/STROKEAHA.111.629865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Willemse RB, Mager JJ, Westermann CJ, Overtoom TT, Mauser H, Wolbers JG. Bleeding risk of cerebrovascular malformations in hereditary hemorrhagic telangiectasia. J Neurosurg. 2000;92:779–784. doi: 10.3171/jns.2000.92.5.0779. [DOI] [PubMed] [Google Scholar]
  • 3.Akers AL, Ball KL, Clancy M, Comi AM, Faughnan ME, Gopal-Srivastava R, et al. Brain Vascular Malformation Consortium: overview, progress and future directions. J Rare Disord. 2013;1:5. [PMC free article] [PubMed] [Google Scholar]
  • 4.Shovlin CL, Guttmacher AE, Buscarini E, Faughnan ME, Hyland RH, Westermann CJ, et al. Diagnostic criteria for hereditary hemorrhagic telangiectasia (Rendu-Osler-Weber syndrome) Am J Med Genet. 2000;91:66–67. doi: 10.1002/(sici)1096-8628(20000306)91:1<66::aid-ajmg12>3.0.co;2-p. [DOI] [PubMed] [Google Scholar]
  • 5.Atkinson RP, Awad IA, Batjer HH, Dowd CF, Furlan A, Giannotta SL, et al. Reporting terminology for brain arteriovenous malformation clinical and radiographic features for use in clinical trials. Stroke. 2001;32:1430–1442. doi: 10.1161/01.str.32.6.1430. [DOI] [PubMed] [Google Scholar]
  • 6.Mehta CR. StatXact: a statistical package of exact nonparametric inference. Am Stat. 1991;45:74–75. [Google Scholar]
  • 7.van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stat Med. 1999;18:681–694. doi: 10.1002/(sici)1097-0258(19990330)18:6<681::aid-sim71>3.0.co;2-r. [DOI] [PubMed] [Google Scholar]
  • 8.Mohr JP, Parides MK, Stapf C, Moquete E, Moy CS, Overbey JR, et al. Medical management with or without interventional therapy for unruptured brain arteriovenous malformations (ARUBA): a multicentre, non-blinded, randomised trial. Lancet. 2014;383:614–621. doi: 10.1016/S0140-6736(13)62302-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Krings T, Ozanne A, Chng SM, Alvarez H, Rodesch G, Lasjaunias PL. Neurovascular phenotypes in hereditary haemorrhagic telangiectasia patients according to age. Review of 50 consecutive patients aged 1 day-60 years. Neuroradiology. 2005;47:711–720. doi: 10.1007/s00234-005-1390-8. [DOI] [PubMed] [Google Scholar]
  • 10.Kim H, Al-Shahi Salman R, McCulloch CE, Stapf C, Young WL. Untreated brain arteriovenous malformation: patient level meta-analysis of hemorrhage predictors. Neurology. 2014;83:590–597. doi: 10.1212/WNL.0000000000000688. [DOI] [PMC free article] [PubMed] [Google Scholar]

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