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Orthostatic Hypotension Predicts Cognitive Impairment in the Elderly: Findings from a Cohort Study

Overview of attention for article published in Frontiers in Neurology, April 2017
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Title
Orthostatic Hypotension Predicts Cognitive Impairment in the Elderly: Findings from a Cohort Study
Published in
Frontiers in Neurology, April 2017
DOI 10.3389/fneur.2017.00121
Pubmed ID
Authors

Haixia Huang, Tianheng Zheng, Fang Liu, Zhuoli Wu, Huazheng Liang, Shaoshi Wang

Abstract

Orthostatic hypotension (OH) is a known risk factor for cerebral ischemia, but its correlation with cognitive impairment (CI) is not well established. The aim of this study is to explore the relationship between OH and CI in the elderly. The study group consisted of 44 OH patients who presented with drowsiness, vertigo, and fatigue between January 2009 and December 2011 (OH group). Eighty-eight healthy elderly were paired with those in the OH group in a 1:2 based on their education levels (NOH group). Baseline sociodemographic information and cognition-related measures were collected for both groups. Cognitive function was assessed 4 years later using MMSE. The overall incidence of CI was 14.0% among the 114 subjects who completed the follow-up assessment. There was a significant difference in the incidence of CI between the OH group (23.7%) and the NOH group (9.2%) (χ(2) = 4.399, P = 0.036). After excluding the influence of age (OR = 1.199, 95% CI: 1.072-1.340, P = 0.001) and education years (OR = 0.568, 95% CI: 0.371-0.869, P = 0.009), OH (OR = 4.047, 95% CI: 1.144-14.313, P = 0.030) became an independent risk factor for CI. OH can lead to CI. We suggest that future studies, with a larger sample size, use OH exposure time instead of OH exposure population to verify the conclusion of this study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Other 3 9%
Lecturer 2 6%
Student > Postgraduate 2 6%
Student > Doctoral Student 2 6%
Other 11 32%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 14 41%
Neuroscience 4 12%
Biochemistry, Genetics and Molecular Biology 1 3%
Mathematics 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 10 29%