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Your search keyword '"Moon, Yeseon P."' showing total 28 results
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28 results on '"Moon, Yeseon P."'

3. Procalcitonin and Midregional Proatrial Natriuretic Peptide as Biomarkers of Subclinical Cerebrovascular Damage

Author

Katan, Mira, Moon, Yeseon, von Eckardstein, Arnold, Spanaus, Kathartina, DeRosa, Janet, Gutierrez, Jose, DeCarli, Charles, Wright, Clinton, Sacco, Ralph, and Elkind, Mitchell

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Brain Disorders, Clinical Research, Stroke, Prevention, Biomedical Imaging, Neurosciences, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Cardiovascular, Aged, Aged, 80 and over, Atrial Natriuretic Factor, Biomarkers, Calcitonin, Cerebrovascular Disorders, Female, Humans, Male, New York City, Risk, biomarkers, brain infarction, risk factor, stroke, white matter, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Neurology & Neurosurgery, Clinical sciences, Allied health and rehabilitation science
Abstract

Background and purposeChronic infections and cardiac dysfunction are risk factors for stroke. We hypothesized that blood biomarkers of infection (procalcitonin) and cardiac dysfunction (midregional proatrial natriuretic peptide [MR-proANP]), previously associated with small vessel stroke and cardioembolic stroke are also associated with subclinical cerebrovascular damage, including silent brain infarcts and white matter hyperintensity volume.MethodsThe NOMAS (Northern Manhattan Study) was designed to assess risk factors for incident vascular disease in a multiethnic cohort. A subsample underwent brain magnetic resonance imaging and had blood samples available for biomarker measurement (n=1178). We used logistic regression models to estimate the odds ratios and 95% confidence intervals (95% CIs) for the association of these biomarkers with silent brain infarcts after adjusting for demographic, behavioral, and medical risk factors. We used linear regression to assess associations with log-white matter hyperintensity volume.ResultsMean age was 70±9 years; 60% were women, 66% Hispanic, 17% black, and 15% were white. After adjusting for risk factors, subjects with procalcitonin or MR-proANP in the top quartile, compared with the lowest quartile were more likely to have silent brain infarcts (adjusted odds ratio for procalcitonin, 2.2; 95% CI, 1.3-3.7 and for MR-proANP, 3.3; 95% CI, 1.7-6.3) and increased white matter hyperintensity volume (adjusted mean change in log-white matter hyperintensity volume for procalcitonin, 0.29; 95% CI, 0.13-0.44 and for MR-proANP, 0.18; 95% CI, 0.004-0.36).ConclusionsHigher concentrations of procalcitonin, a marker of infection, and MR-proANP, a marker of cardiac dysfunction, are independently associated with subclinical cerebrovascular damage. If further studies demonstrate an incremental value for risk stratification, biomarker-guided primary prevention studies may lead to new approaches to prevent cerebrovascular disease.

Published
2017

27. Physical inactivity is a strong risk factor for stroke in the oldest old: Findings from a multi-ethnic population (the Northern Manhattan Study).

Author

Willey, Joshua Z., Moon, Yeseon P., Sacco, Ralph L., Greenlee, Heather, Diaz, Keith M., Wright, Clinton B., Elkind, Mitchell S. V., and Cheung, Yuen K.

Subjects
*SEDENTARY behavior, *POLYPHARMACY, *HEALTH of older people, STROKE risk factors
Abstract

Background: The fastest growing segment of the population is those age ⩾80 who have the highest stroke incidence. Risk factor management is complicated by polypharmacy-related adverse events. Aims: To characterize the impact of physical inactivity for stroke by age in a multi-ethnic prospective cohort study (NOMAS, n =3298). Methods: Leisure time physical activity was assessed by a validated questionnaire and our primary exposure was physical inactivity (PI). Participants were followed annually for incident stroke. We fit Cox-proportional hazard models to calculate hazard ratios and 95% confidence intervals (HR 95% CI) for the association of PI and other risk factors with risk of stroke including two-way interaction terms between the primary exposures and age (<80 vs. ⩾80). Results: The mean age was 69±10.3 years and 562 (17%) were ⩾80 at enrolment. PI was common in the cohort (40.8%). Over a median of 14 years, we found 391 strokes. We found a significant interaction of age ⩾80 on the risk of stroke with PI (p=0.03). In stratified models, PI versus any activity (adjusted HR 1.60, 95%CI 1.05-2.42) was associated with an increased risk of stroke among those ⩾80. Conclusion: Physical inactivity is a treatable risk factor for stroke among those older than age 80. Improving activity may reduce the risk of stroke in this segment of the population. [ABSTRACT FROM AUTHOR]

Published
2017
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