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Disease Markers
Volume 2017, Article ID 4343171, 8 pages
Research Article

Parathyroid Hormone Levels in the Prediction of Ischemic Stroke Risk

1Beyhekim State Hospital, Department of Neurology, Konya, Turkey
2Bandırma State Hospital, Department of Neurology, Balıkesir, Turkey
3Department of Neurology, Başkent University, Konya Training and Research Hospital, Konya, Turkey
4Department of Neurology, Selçuk Medical Faculty, Selçuk University, Konya, Turkey
5Department of Biochemistry, Başkent University, Konya Training and Research Hospital, Konya, Turkey

Correspondence should be addressed to Güner Çelik; moc.tenym@ucnuyokrenug

Received 13 October 2016; Accepted 23 November 2016; Published 2 January 2017

Academic Editor: Kailash Gulshan

Copyright © 2017 Güner Çelik et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Objective. It was examined whether PTH and 25-dihydroxyvitamin D (25(OH)D) levels, together or separately, are indicators of the risk of stroke. Materials and Methods. This prospective study was performed at two centers. In the study, 100 patients diagnosed with acute ischemic stroke and 100 control individuals in the same age range were examined. In addition to neurological examination, cranial imaging, extensive routine blood chemistry, PTH, and 25(OH)D levels were evaluated in all cases. Stroke risk factors were determined. Logistic regression was used for statistical analysis. Results. A total of 60 patients and 79 control individuals were included in the study. Different estimation models were designed in order to examine the relationship between PTH and 25(OH)D levels with stroke. According to modeling results, it was determined that the most effective predictor for risk of stroke was 25(OH)D levels, followed by hypertension and PTH levels, respectively. Conclusion. PTH and 25(OH)D levels together can make important contributions to determination of stroke risk, and further investigations are needed to understand this relationship more fully.