Literature DB >> 25867544

Risk Factors Associated With Incident Cerebral Microbleeds According to Location in Older People: The Age, Gene/Environment Susceptibility (AGES)-Reykjavik Study.

Jie Ding1, Sigurdur Sigurdsson2, Melissa Garcia1, Caroline L Phillips1, Gudny Eiriksdottir2, Vilmundur Gudnason3, Mark A van Buchem4, Lenore J Launer1.   

Abstract

IMPORTANCE: The spatial distribution of cerebral microbleeds (CMBs), which are asymptomatic precursors of intracerebral hemorrhage, reflects specific underlying microvascular abnormalities of cerebral amyloid angiopathy (lobar structures) and hypertensive vasculopathy (deep brain structures). Relatively little is known about the occurrence of and modifiable risk factors for developing CMBs, especially in a lobar location, in the general population of older people.
OBJECTIVE: To investigate whether lifestyle and lipid factors predict new CMBs in relation to their anatomic location. DESIGN, SETTING, AND PARTICIPANTS: We enrolled 2635 individuals aged 66 to 93 years from the population-based Age, Gene/Environment Susceptibility (AGES)-Reykjavik Study in a brain imaging study. Participants underwent a baseline magnetic resonance imaging (MRI) examination of the brain from September 1, 2002, through February 28, 2006, and returned for a second MRI examination from April 1, 2007, through September 30, 2011. EXPOSURES: Lifestyle and lipid factors assessed at baseline included smoking, alcohol consumption, body mass index, and serum levels of total cholesterol, high- and low-density lipoprotein cholesterol, and triglycerides. MAIN OUTCOMES AND MEASURES: Incident CMBs detected on MRIs, which were further categorized as exclusively lobar or as deep.
RESULTS: During a mean follow-up of 5.2 years, 486 people (18.4%) developed new CMBs, of whom 308 had lobar CMBs only and 178 had deep CMBs. In the multivariate logarithm-binomial regression model adjusted for baseline cardiovascular risk factors, including blood pressure, antihypertensive use, prevalent CMBs, and markers of cerebral ischemic small-vessel disease, heavy alcohol consumption (vs light to moderate consumption; relative risk [RR], 2.94 [95% CI, 1.23-7.01]) was associated with incident CMBs in a deep location. Baseline underweight (vs normal weight; RR, 2.41 [95% CI, 1.21-4.80]), current smoking (RR, 1.47 [95% CI, 1.11-1.94]), an elevated serum level of high-density lipoprotein cholesterol (RR per 1-SD increase, 1.13 [95% CI, 1.02-1.25]), and a decreased triglyceride level (RR per 1-SD decrease in natural logarithm-transformed triglyceride level, 1.17 [95% CI, 1.03-1.33]) were significantly associated with an increased risk for lobar CMBs exclusively but not for deep CMBs. CONCLUSIONS AND RELEVANCE: Lifestyle and lipid risk profiles for CMBs were similar to those for symptomatic intracerebral hemorrhage and differed for lobar and deep CMBs. Modification of these risk factors could have the potential to prevent new-onset CMBs, particularly those occurring in a lobar location.

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Year:  2015        PMID: 25867544      PMCID: PMC4698002          DOI: 10.1001/jamaneurol.2015.0174

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  37 in total

1.  Estimating the relative risk in cohort studies and clinical trials of common outcomes.

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Journal:  Am J Epidemiol       Date:  2003-05-15       Impact factor: 4.897

2.  Cerebral microbleeds are predictive of mortality in the elderly.

Authors:  Irmhild Altmann-Schneider; Stella Trompet; Anton J M de Craen; Adriaan C G M van Es; J Wouter Jukema; David J Stott; Naveed Sattar; Rudi G J Westendorp; Mark A van Buchem; Jeroen van der Grond
Journal:  Stroke       Date:  2011-01-13       Impact factor: 7.914

3.  Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study.

Authors:  Martin J O'Donnell; Denis Xavier; Lisheng Liu; Hongye Zhang; Siu Lim Chin; Purnima Rao-Melacini; Sumathy Rangarajan; Shofiqul Islam; Prem Pais; Matthew J McQueen; Charles Mondo; Albertino Damasceno; Patricio Lopez-Jaramillo; Graeme J Hankey; Antonio L Dans; Khalid Yusoff; Thomas Truelsen; Hans-Christoph Diener; Ralph L Sacco; Danuta Ryglewicz; Anna Czlonkowska; Christian Weimar; Xingyu Wang; Salim Yusuf
Journal:  Lancet       Date:  2010-06-17       Impact factor: 79.321

4.  Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics.

Authors:  Tamara B Harris; Lenore J Launer; Gudny Eiriksdottir; Olafur Kjartansson; Palmi V Jonsson; Gunnar Sigurdsson; Gudmundur Thorgeirsson; Thor Aspelund; Melissa E Garcia; Mary Frances Cotch; Howard J Hoffman; Vilmundur Gudnason
Journal:  Am J Epidemiol       Date:  2007-03-10       Impact factor: 4.897

5.  Cholesterol and neuropathologic markers of AD: a population-based autopsy study.

Authors:  L J Launer; L R White; H Petrovitch; G W Ross; J D Curb
Journal:  Neurology       Date:  2001-10-23       Impact factor: 9.910

6.  Incidence of cerebral microbleeds in the general population: the Rotterdam Scan Study.

Authors:  Mariëlle M F Poels; M Arfan Ikram; Aad van der Lugt; Albert Hofman; Gabriel P Krestin; Monique M B Breteler; Meike W Vernooij
Journal:  Stroke       Date:  2011-02-09       Impact factor: 7.914

Review 7.  Cerebral microbleeds and recurrent stroke risk: systematic review and meta-analysis of prospective ischemic stroke and transient ischemic attack cohorts.

Authors:  Andreas Charidimou; Puneet Kakar; Zoe Fox; David J Werring
Journal:  Stroke       Date:  2013-03-14       Impact factor: 7.914

8.  Associations of serum total cholesterol, different types of stroke, and stenosis distribution of cerebral arteries. The Akita Pathology Study.

Authors:  M Konishi; H Iso; Y Komachi; M Iida; T Shimamoto; D R Jacobs; A Terao; S Baba; T Sankai; M Ito
Journal:  Stroke       Date:  1993-07       Impact factor: 7.914

9.  The alcohol paradox: light-to-moderate alcohol consumption, cognitive function, and brain volume.

Authors:  Benjamin J K Davis; Jean-Sebastian Vidal; Melissa Garcia; Thor Aspelund; Mark A van Buchem; Maria K Jonsdottir; Sigurdur Sigurdsson; Tamara B Harris; Vilmundur Gudnason; Lenore J Launer
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-07-02       Impact factor: 6.053

10.  Prevalence and risk factors of cerebral microbleeds: the Rotterdam Scan Study.

Authors:  M W Vernooij; A van der Lugt; M A Ikram; P A Wielopolski; W J Niessen; A Hofman; G P Krestin; M M B Breteler
Journal:  Neurology       Date:  2008-04-01       Impact factor: 9.910

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  40 in total

1.  Large Perivascular Spaces Visible on Magnetic Resonance Imaging, Cerebral Small Vessel Disease Progression, and Risk of Dementia: The Age, Gene/Environment Susceptibility-Reykjavik Study.

Authors:  Jie Ding; Sigurður Sigurðsson; Pálmi V Jónsson; Gudny Eiriksdottir; Andreas Charidimou; Oscar L Lopez; Mark A van Buchem; Vilmundur Guðnason; Lenore J Launer
Journal:  JAMA Neurol       Date:  2017-09-01       Impact factor: 18.302

2.  ASPREE-NEURO study protocol: A randomized controlled trial to determine the effect of low-dose aspirin on cerebral microbleeds, white matter hyperintensities, cognition, and stroke in the healthy elderly.

Authors:  Stephanie A Ward; Parnesh Raniga; Nicholas J Ferris; Robyn L Woods; Elsdon Storey; Michael J Bailey; Amy Brodtmann; Paul A Yates; Geoffrey A Donnan; Ruth E Trevaks; Rory Wolfe; Gary F Egan; John J McNeil
Journal:  Int J Stroke       Date:  2016-09-24       Impact factor: 5.266

Review 3.  Cerebral small vessel disease: neuroimaging markers and clinical implication.

Authors:  Xiaodong Chen; Jihui Wang; Yilong Shan; Wei Cai; Sanxin Liu; Mengyan Hu; Siyuan Liao; Xuehong Huang; Bingjun Zhang; Yuge Wang; Zhengqi Lu
Journal:  J Neurol       Date:  2018-10-05       Impact factor: 4.849

4.  Wave-CAIPI susceptibility-weighted imaging achieves diagnostic performance comparable to conventional susceptibility-weighted imaging in half the scan time.

Authors:  Mi Sun Chung; Eun Jung Lee; Sujin Kim; Seon-Ok Kim; Jun Soo Byun
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

5.  The APOE4 allele shows opposite sex bias in microbleeds and Alzheimer's disease of humans and mice.

Authors:  Mafalda Cacciottolo; Amy Christensen; Alexandra Moser; Jiahui Liu; Christian J Pike; Conor Smith; Mary Jo LaDu; Patrick M Sullivan; Todd E Morgan; Egor Dolzhenko; Andreas Charidimou; Lars-Olof Wahlund; Maria Kristofferson Wiberg; Sara Shams; Gloria Chia-Yi Chiang; Caleb E Finch
Journal:  Neurobiol Aging       Date:  2015-10-19       Impact factor: 4.673

6.  Cerebral microbleed incidence, relationship to amyloid burden: The Mayo Clinic Study of Aging.

Authors:  Jonathan Graff-Radford; Timothy Lesnick; Alejandro A Rabinstein; Jeff Gunter; Jeremiah Aakre; Scott A Przybelski; Anthony J Spychalla; John Huston; Robert D Brown; Michelle M Mielke; Val J Lowe; David S Knopman; Ronald C Petersen; Clifford R Jack; Prashanthi Vemuri; Walter Kremers; Kejal Kantarci
Journal:  Neurology       Date:  2019-12-04       Impact factor: 9.910

7.  Prevalence of and Risk Factors for Cerebral Microbleeds in Moyamoya Disease and Syndrome in the American Population.

Authors:  Nadeem I Khan; Ali A Saherwala; Mo Chen; Sepand Salehian; Hisham Salahuddin; Babu G Welch; Marco C Pinho; Ty Shang
Journal:  Cerebrovasc Dis Extra       Date:  2019-12-12

8.  The AGES-Reykjavik Study suggests that change in kidney measures is associated with subclinical brain pathology in older community-dwelling persons.

Authors:  Sanaz Sedaghat; Jie Ding; Gudny Eiriksdottir; Mark A van Buchem; Sigurdur Sigurdsson; M Arfan Ikram; Osorio Meirelles; Vilmundur Gudnason; Andrew S Levey; Lenore J Launer
Journal:  Kidney Int       Date:  2018-06-28       Impact factor: 10.612

9.  Space and location of cerebral microbleeds, cognitive decline, and dementia in the community.

Authors:  Jie Ding; Sigurður Sigurðsson; Pálmi V Jónsson; Gudny Eiriksdottir; Osorio Meirelles; Olafur Kjartansson; Oscar L Lopez; Mark A van Buchem; Vilmundur Gudnason; Lenore J Launer
Journal:  Neurology       Date:  2017-05-03       Impact factor: 9.910

10.  Sex Differences in Cognitive Impairment Induced by Cerebral Microhemorrhage.

Authors:  Romain Barus; Sandrine Bergeron; Florent Auger; Charlotte Laloux; Emilie Skrobala; Antonino Bongiovanni; Camille Potey; Régis Bordet; Yaohua Chen; Sophie Gautier
Journal:  Transl Stroke Res       Date:  2020-05-21       Impact factor: 6.829

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