Age differences in periventricular and deep white matter lesions
Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary arter...
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| Published in | Neurobiology of aging Vol. 36; no. 4; pp. 1653 - 1658 |
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| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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United States
Elsevier Inc
01.04.2015
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| Abstract | Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary artery disease patients. Using 3T magnetic resonance imaging, lesions were classified as DWMH or PV. Age association with lesion classification was analyzed using random effects Tobit regression, adjusting for intracranial volume (ICV) and risk factors. Subjects were 60% women, 36% African-American, mean age 51 ± 11 years. In multivariable analysis adjusted for PV and ICV, DWMH was associated with age (p < 0.001) and female sex (p = 0.003). PV, adjusted for DWMH and ICV, was age associated (p < 0.001). For each age decade, DWMH showed 0.07 log units/decade greater volume (95% CI = 0.04–0.11); PV was 0.18 log units/decade greater (95% CI = 0.14–0.23); slope differences (p < 0.001). In people with a family history of coronary artery disease, PV and DWMH are independently and differentially associated with age controlling for traditional risk factors. |
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| AbstractList | Abstract Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary artery disease patients. Using 3T magnetic resonance imaging, lesions were classified as DWMH or PV. Age association with lesion classification was analyzed using random effects Tobit regression, adjusting for intracranial volume (ICV) and risk factors. Subjects were 60% women, 36% African-American, mean age 51 ± 11 years. In multivariable analysis adjusted for PV and ICV, DWMH was associated with age ( p < 0.001) and female sex ( p = 0.003). PV, adjusted for DWMH and ICV, was age associated ( p < 0.001). For each age decade, DWMH showed 0.07 log units/decade greater volume (95% CI = 0.04–0.11); PV was 0.18 log units/decade greater (95% CI = 0.14–0.23); slope differences ( p < 0.001). In people with a family history of coronary artery disease, PV and DWMH are independently and differentially associated with age controlling for traditional risk factors. Deep white matter hyperintensity (DWMH) and periventricular white matter lesion volumes (PV) are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary artery disease (CAD) patients. Using 3T MRI, lesions were classified as DWMH or PV. Age association with lesion classification was analyzed using random effects Tobit regression, adjusting for intracranial volume (ICV), and risk factors. Subjects were 60% women, 36% African-American, mean age 51 ± 11 years. In multivariable analysis adjusted for PV and ICV, DWMH was associated with age (p<0.001), and female sex (p = 0.003) . PV, adjusted for DWMH and ICV, was age associated (p<0.001). For each age decade, DWMH showed 0.07 log units/decade greater volume (95% CI = 0.04-0.11); PV was 0.18 log units/decade greater (95% CI 0.14 – 0.23); slope differences (p < 0.001). In people with a family history of CAD, PV and DWMH are independently and differentially associated with age controlling for traditional risk factors. Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary artery disease patients. Using 3T magnetic resonance imaging, lesions were classified as DWMH or PV. Age association with lesion classification was analyzed using random effects Tobit regression, adjusting for intracranial volume (ICV) and risk factors. Subjects were 60% women, 36% African-American, mean age 51 ± 11 years. In multivariable analysis adjusted for PV and ICV, DWMH was associated with age (p < 0.001) and female sex (p = 0.003). PV, adjusted for DWMH and ICV, was age associated (p < 0.001). For each age decade, DWMH showed 0.07 log units/decade greater volume (95% CI = 0.04–0.11); PV was 0.18 log units/decade greater (95% CI = 0.14–0.23); slope differences (p < 0.001). In people with a family history of coronary artery disease, PV and DWMH are independently and differentially associated with age controlling for traditional risk factors. Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary artery disease patients. Using 3T magnetic resonance imaging, lesions were classified as DWMH or PV. Age association with lesion classification was analyzed using random effects Tobit regression, adjusting for intracranial volume (ICV) and risk factors. Subjects were 60% women, 36% African-American, mean age 51 ± 11 years. In multivariable analysis adjusted for PV and ICV, DWMH was associated with age (p < 0.001) and female sex (p = 0.003). PV, adjusted for DWMH and ICV, was age associated (p < 0.001). For each age decade, DWMH showed 0.07 log units/decade greater volume (95% CI = 0.04-0.11); PV was 0.18 log units/decade greater (95% CI = 0.14-0.23); slope differences (p < 0.001). In people with a family history of coronary artery disease, PV and DWMH are independently and differentially associated with age controlling for traditional risk factors.Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary artery disease patients. Using 3T magnetic resonance imaging, lesions were classified as DWMH or PV. Age association with lesion classification was analyzed using random effects Tobit regression, adjusting for intracranial volume (ICV) and risk factors. Subjects were 60% women, 36% African-American, mean age 51 ± 11 years. In multivariable analysis adjusted for PV and ICV, DWMH was associated with age (p < 0.001) and female sex (p = 0.003). PV, adjusted for DWMH and ICV, was age associated (p < 0.001). For each age decade, DWMH showed 0.07 log units/decade greater volume (95% CI = 0.04-0.11); PV was 0.18 log units/decade greater (95% CI = 0.14-0.23); slope differences (p < 0.001). In people with a family history of coronary artery disease, PV and DWMH are independently and differentially associated with age controlling for traditional risk factors. Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age differences in these volumes accounting for collinearity and risk factors. Subjects were 563 healthy family members of early-onset coronary artery disease patients. Using 3T magnetic resonance imaging, lesions were classified as DWMH or PV. Age association with lesion classification was analyzed using random effects Tobit regression, adjusting for intracranial volume (ICV) and risk factors. Subjects were 60% women, 36% African-American, mean age 51 ± 11 years. In multivariable analysis adjusted for PV and ICV, DWMH was associated with age (p < 0.001) and female sex (p = 0.003). PV, adjusted for DWMH and ICV, was age associated (p < 0.001). For each age decade, DWMH showed 0.07 log units/decade greater volume (95% CI = 0.04-0.11); PV was 0.18 log units/decade greater (95% CI = 0.14-0.23); slope differences (p < 0.001). In people with a family history of coronary artery disease, PV and DWMH are independently and differentially associated with age controlling for traditional risk factors. |
| Author | Moy, Taryn F. Yanek, Lisa R. Nyquist, Paul A. Becker, Lewis C. Cuzzocreo, Jennifer L. Prince, Jerry Becker, Diane M. Bilgel, Murat Yousem, David M. Kral, Brian G. Vaidya, Dhananjay Wasserman, Bruce A. Gottesman, Rebecca |
| AuthorAffiliation | g Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA e Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA d Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA c Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA b Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, 21287, USA a Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, 21287, USA f Department of Medicine, Division of Cardiology, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA |
| AuthorAffiliation_xml | – name: d Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA – name: e Department of Medicine, Division of General Internal Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA – name: c Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA – name: a Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, 21287, USA – name: b Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, 21287, USA – name: f Department of Medicine, Division of Cardiology, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA – name: g Department of Radiology, Divisions of Diagnostic Radiology and Neuroradiology, Johns Hopkins School of Medicine, Baltimore Maryland, 21287, USA |
| Author_xml | – sequence: 1 givenname: Paul A. orcidid: 0000-0001-6078-3543 surname: Nyquist fullname: Nyquist, Paul A. email: pnyquis1@jhmi.edu organization: Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 2 givenname: Murat surname: Bilgel fullname: Bilgel, Murat organization: Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 3 givenname: Rebecca surname: Gottesman fullname: Gottesman, Rebecca organization: Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 4 givenname: Lisa R. surname: Yanek fullname: Yanek, Lisa R. organization: Division of General Internal Medicine, Department of Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 5 givenname: Taryn F. surname: Moy fullname: Moy, Taryn F. organization: Division of General Internal Medicine, Department of Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 6 givenname: Lewis C. surname: Becker fullname: Becker, Lewis C. organization: Division of General Internal Medicine, Department of Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 7 givenname: Jennifer L. surname: Cuzzocreo fullname: Cuzzocreo, Jennifer L. organization: Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 8 givenname: Jerry surname: Prince fullname: Prince, Jerry organization: Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 9 givenname: Bruce A. surname: Wasserman fullname: Wasserman, Bruce A. organization: Divisions of Diagnostic Radiology and Neuroradiology, Department of Radiology, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 10 givenname: David M. surname: Yousem fullname: Yousem, David M. organization: Divisions of Diagnostic Radiology and Neuroradiology, Department of Radiology, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 11 givenname: Diane M. surname: Becker fullname: Becker, Diane M. organization: Division of General Internal Medicine, Department of Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 12 givenname: Brian G. surname: Kral fullname: Kral, Brian G. organization: Division of General Internal Medicine, Department of Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, MD, USA – sequence: 13 givenname: Dhananjay surname: Vaidya fullname: Vaidya, Dhananjay organization: Division of General Internal Medicine, Department of Medicine, GeneSTAR Research Program, Johns Hopkins School of Medicine, Baltimore, MD, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25659858$$D View this record in MEDLINE/PubMed |
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| Keywords | White matter disease Coronary Women and minorities Imaging Risk factors |
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| Snippet | Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied age... Abstract Deep white matter hyperintensity (DWMH) and periventricular (PV) white matter lesion volumes are associated with age and subsequent stroke. We studied... Deep white matter hyperintensity (DWMH) and periventricular white matter lesion volumes (PV) are associated with age and subsequent stroke. We studied age... |
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| SubjectTerms | Adult Aged Aging - pathology Coronary Coronary Artery Disease Female Humans Imaging Internal Medicine Magnetic Resonance Imaging Male Middle Aged Multivariate Analysis Neurology Risk Factors Sex Factors White Matter - pathology White matter disease Women and minorities |
| Title | Age differences in periventricular and deep white matter lesions |
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