Amnat Kitkhuandee1, Kittisak Sawanyawisuth2, Nutjaree Pratheepawanit Johns3, Jaturat Kanpittaya4, Jeffrey Johns3. 1. Department of Surgery, Khon Kaen University, Khon Kaen, Thailand. 2. Department of Medicine, Khon Kaen University, Khon Kaen, Thailand; The Research and Training Center for Enhancing Quality of Life of Working-Age People, Khon Kaen University, Khon Kaen, Thailand. Electronic address: kittisak@kku.ac.th. 3. Faculty of Pharmaceutical Sciences and Melatonin Research Group, Khon Kaen University, Khon Kaen, Thailand. 4. Department of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Abstract
BACKGROUND: Pineal calcification and low melatonin have been shown to be risk factors for stroke in animal studies; however, there are limited clinical data on the association of pineal calcification and stroke in humans. METHODS: All computed tomographic (CT) scans of the brains of patients >15 years of age during the year 2011 at a university teaching hospital were retrospectively reviewed. Patient medical charts were used to obtain the risk factors for stroke, including diabetes, hypertension, dyslipidemia, age, and sex. Cerebral infarction was identified by having clinical syndromes of stroke and a positive CT scan. Patients with embolic or hemorrhagic stroke were excluded. Pineal calcification was evidenced by the CT scans. The association of various stroke risk factors and cerebral infarction were calculated using logistic regression analysis. RESULTS: A total of 1614 patients were included, and symptomatic cerebral infarction was identified in 620 patients (38.4%). Regarding stroke risk factors in symptomatic cerebral infarction patients, the majority of patients were male (356 [57.4%]), >50 years of age (525 [84.7%]), and had hypertension (361 [58.2%]); some had diabetes (199 [32.1%]) and dyslipidemia (174 [28.1%]). Pineal calcification was found in 1081 patients (67.0%), with a male:female ratio of 1.5:1. Significant factors related to cerebral infarction by univariate logistic regression were age >50 years, hypertension, diabetes, dyslipidemia, and pineal calcification. Pineal calcification as a risk factor for cerebral infarction had an adjusted odds ratio of 1.35 (95% confidence interval 1.05-1.72). CONCLUSIONS: Pineal calcification may be a potential new contributor to cerebral infarction.
BACKGROUND:Pineal calcification and low melatonin have been shown to be risk factors for stroke in animal studies; however, there are limited clinical data on the association of pineal calcification and stroke in humans. METHODS: All computed tomographic (CT) scans of the brains of patients >15 years of age during the year 2011 at a university teaching hospital were retrospectively reviewed. Patient medical charts were used to obtain the risk factors for stroke, including diabetes, hypertension, dyslipidemia, age, and sex. Cerebral infarction was identified by having clinical syndromes of stroke and a positive CT scan. Patients with embolic or hemorrhagic stroke were excluded. Pineal calcification was evidenced by the CT scans. The association of various stroke risk factors and cerebral infarction were calculated using logistic regression analysis. RESULTS: A total of 1614 patients were included, and symptomatic cerebral infarction was identified in 620 patients (38.4%). Regarding stroke risk factors in symptomatic cerebral infarctionpatients, the majority of patients were male (356 [57.4%]), >50 years of age (525 [84.7%]), and had hypertension (361 [58.2%]); some had diabetes (199 [32.1%]) and dyslipidemia (174 [28.1%]). Pineal calcification was found in 1081 patients (67.0%), with a male:female ratio of 1.5:1. Significant factors related to cerebral infarction by univariate logistic regression were age >50 years, hypertension, diabetes, dyslipidemia, and pineal calcification. Pineal calcification as a risk factor for cerebral infarction had an adjusted odds ratio of 1.35 (95% confidence interval 1.05-1.72). CONCLUSIONS:Pineal calcification may be a potential new contributor to cerebral infarction.
Authors: Susan R Sturgeon; Ashley Doherty; Katherine W Reeves; Carol Bigelow; Frank Z Stanczyk; Judith K Ockene; Simin Liu; JoAnn E Manson; Marian L Neuhouser Journal: Cancer Epidemiol Biomarkers Prev Date: 2014-02-07 Impact factor: 4.254
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