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      Parkinson’s Disease Is Related to an Increased Risk of Ischemic Stroke—A Population-Based Propensity Score-Matched Follow-Up Study

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          Abstract

          Objective

          The risk of stroke in patients with Parkinson’s disease (PD) remains controversial. The purpose of this population-based propensity score-matched longitudinal follow-up study was to determine whether there is an increased risk of ischemic stroke after PD.

          Methods

          We used a logistic regression model that includes age, sex, pre-existing comorbidities and socioeconomic status as covariates to compute the propensity score. A total of 2204 patients with at least two ambulatory visits with the principal diagnosis of PD in 2001 was enrolled in the PD group. The non- PD group consisted of 2204, propensity score-matched subjects without PD. The ischemic stroke-free survival rates of the two groups were estimated using the Kaplan-Meier method. Stratified Cox proportional hazard regression with patients matched on propensity score was used to estimate the effect of PD on the occurrence of ischemic stroke.

          Results

          During the three-year follow-up period, 328 subjects in the PD group and 156 subjects in the non-PD group developed ischemic stroke. The ischemic stroke-free survival rate of the PD group was significantly lower than that of the non-PD group (P<0.0001). The hazard ratio (HR) of stroke for the PD group was 2.37 (95% confidence interval [CI], 1.92 to 2.93, P<0.0001) compared to the non- PD group.

          Conclusions

          This study shows a significantly increased risk of ischemic stroke in PD patients. Further studies are required to investigate the underlying mechanism.

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          Most cited references35

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          Atherosclerosis. the road ahead.

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            Endothelial dysfunction, oxidative stress, and risk of cardiovascular events in patients with coronary artery disease.

            Endothelial function is impaired in coronary artery disease and may contribute to its clinical manifestations. Increased oxidative stress has been linked to impaired endothelial function in atherosclerosis and may play a role in the pathogenesis of cardiovascular events. This study was designed to determine whether endothelial dysfunction and vascular oxidative stress have prognostic impact on cardiovascular event rates in patients with coronary artery disease. Endothelium-dependent and -independent vasodilation was determined in 281 patients with documented coronary artery disease by measuring forearm blood flow responses to acetylcholine and sodium nitroprusside using venous occlusion plethysmography. The effect of the coadministration of vitamin C (24 mg/min) was assessed in a subgroup of 179 patients. Cardiovascular events, including death from cardiovascular causes, myocardial infarction, ischemic stroke, coronary angioplasty, and coronary or peripheral bypass operation, were studied during a mean follow-up period of 4.5 years. Patients experiencing cardiovascular events (n=91) had lower vasodilator responses to acetylcholine (P<0.001) and sodium nitroprusside (P<0.05), but greater benefit from vitamin C (P<0.01). The Cox proportional regression analysis for conventional risk factors demonstrated that blunted acetylcholine-induced vasodilation (P=0.001), the effect of vitamin C (P=0.001), and age (P=0.016) remained independent predictors of cardiovascular events. Endothelial dysfunction and increased vascular oxidative stress predict the risk of cardiovascular events in patients with coronary artery disease. These data support the concept that oxidative stress may contribute not only to endothelial dysfunction but also to coronary artery disease activity.
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              Cigarette smoking as a risk factor for stroke. The Framingham Study.

              The impact of cigarette smoking on stroke incidence was assessed in the Framingham Heart Study cohort of 4255 men and women who were aged 36 to 68 years and free of stroke and transient ischemic attacks. During 26 years of follow-up, 459 strokes occurred. Regardless of smoking status and in each sex, hypertensive subjects had twice the incidence of stroke. Using the Cox proportional hazard regression method, smoking was significantly related to stroke after age and hypertension were taken into account. Even after pertinent cardiovascular disease risk factors were added to the Cox model, cigarette smoking continued to make a significant independent contribution to the risk of stroke generally and brain infarction specifically. The risk of stroke increased as the number of cigarettes smoked increased. The relative risk of stroke in heavy smokers (greater than 40 cigarettes per day) was twice that of light smokers (fewer than ten cigarettes per day). Lapsed smokers developed stroke at the same level as nonsmokers soon after stopping. Stroke risk decreased significantly by two years and was at the level of nonsmokers by five years after cessation of cigarette smoking.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                2 September 2013
                : 8
                : 9
                : e68314
                Affiliations
                [1 ]Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital Yun-Lin Branch, Yunlin, Taiwan
                [2 ]School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
                [3 ]Department of Nutrition and Health Sciences, Kainan University, Tao-yuan, Taiwan
                [4 ]Department and Graduate Institute of Health Care Management, Chang Gung University, Tao-yuan, Taiwan
                [5 ]Centre of Biostatistics Consultation, College of Public Health, National Taiwan University, Taipei, Taiwan
                [6 ]Division of Biostatistics, Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan
                [7 ]Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan
                [8 ]National Taiwan University College of Medicine, Taipei, Taiwan
                The University of Hong Kong, Hong Kong
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: YPH LSC MFY CYF YHC HHC SLP. Performed the experiments: YPH LSC MFY CYF YHC SLP. Analyzed the data: YPH LSC MFY YHC HHC SLP. Contributed reagents/materials/analysis tools: YPH LSC MFY HHC SLP. Wrote the paper: YPH LSC MFY CYF YHC HHC SLP.

                Article
                PONE-D-13-05181
                10.1371/journal.pone.0068314
                3759416
                24023710
                21104e30-9f7d-4850-a073-00001227a970
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 January 2013
                : 28 May 2013
                Page count
                Pages: 6
                Funding
                This work was supported by grants DOH93-TD-M-113-030, DOH94-TD-M-113-004, and DOH95-TD-M-113-002 from the Department of Health (DOH), Executive Yuan, Republic of China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Mathematics
                Statistics
                Biostatistics
                Statistical Methods
                Medicine
                Clinical Research Design
                Longitudinal Studies
                Statistical Methods
                Neurology
                Cerebrovascular Diseases
                Ischemic Stroke
                Parkinson Disease
                Non-Clinical Medicine
                Health Care Policy
                Health Risk Analysis

                Uncategorized
                Uncategorized

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