Framingham Risk Score (FRS) as Risk Factor of Stroke

Authors

  • Saugi Abduh Departement of Intenal Medicine, Faculty of Medicine, Universitas Islam Sultan Agung, Jln. Raya Kaligawe KM. 4 Semarang, 50112
  • Indah Wardani Student of Faculty of Medicine, Universitas Islam Sultan Agung, Jln. Raya Kaligawe KM. 4 Semarang, 50112
  • Siti Thomas Zulaikhah Departement of Public Health, Faculty of Medicine, Universitas Islam Sultan Agung, Jln. Raya Kaligawe KM. 4 Semarang, 50112

Keywords:

Stroke, Framingham Risk Score, Diabetes mellitus.

Abstract

Stroke is the leading cause of death and disability in many parts of the world, including Indonesia. Stroke incidence has been increasing. A number of stroke risk factors have been identified, Framingham Risk Score (FRS) can be used as a predictor of stroke. This study aimed to determine the relationship between FRS and stroke. Methods: This was a cross-sectional study among 70 consecutive in-patients at Sultan Agung Islamic Hospital, Semarang, Indonesia. The data were obtained from medical records were analyzed using Chi Square for bivariate test and multiple logistic regression for multivariate test. The result of bivariate analysis showed a significant relationship between total FRS and stroke with p = 0.018 (<0.05), while components of FRS correlated to stroke were age (p = 0.034), diabetes mellitus (DM) (p = 0.046), hypertension (p = 0.037), hypertension treatment (p = 0.015) and smoking (p = 0.031). The results of multivariate analysis for each component showed  that the most dominant FRS associated with stroke was DM (PR = 8.522; 95% CI = 1.736 - 41.846). There was a relationship between total FRS and stroke. Risk factors of FRS components associated with stroke were age, hypertension, DM, hypertension and smoking. DM was the most dominant risk factor associated with stroke, patients with DM has 8.522 times higher risk of developing stroke compared to those without.

References

. WHO. Stroke, Cerebrovascular accident. 2016

. National Center for Chronic Disease Prevention and Health Promotion. Stroke Fact Sheet. Centers for Disease Control and Prevention. 2016

. Mozaffarian D. et al. Heart Disease and Stroke Statistics. The American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics, Volume VI(8), pp 1-23. 2015

. Departemen Kesehatan RI (Depkes RI). Riset Kesehatan Dasar (Riskesdas) 2013. Jakarta: Badan Penelitian dan Pengembangan Kesehatan. 2013

. Brett, C., Fernando, B. R. & Gustavo, S. Diagnosis and Management of Cerebral Venous Thrombosis. Diagnosis of Cerebral Venous Thrombosis, Volume IX (9), pp. 201-210. 2007

. Truelsen, T., Begg, S. & Mathers, C. The global burden of cerebrovascular. Global Burden of Disease, 2(8).2006

. Selvarajah, S. et al. Comparison of the Framingham Risk Score, SCORE and WHO/ISH cardiovascular risk prediction models in an Asian population. International Journal of Cardiology, Volume CXLVI (1), pp 211-218. 2014

. Donald, M. & Lloyd, J. Cardiovascular Risk Prediction. Volume XII(6). 2010

. Sabayan, B. et al. Framingham Stroke Risk Score and Cognitive Impairment for Predicting First-Time Stroke in the Oldest Old. American Heart Association, Volume XLIV (7), pp 1866-1871. 2013

. Arboix, A. et al. Atrial fibrillation and stroke: clinical presentation of cardioembolic versus atherothrombotic infarction. National Center for Biotechnology Information, Volume I(3), pp. 33-34. 2010.

. Kristiyawati, S.P., Irawaty, D., Hariyati, Rr.T.S. Faktor Risiko yang Berhubungan dengan Kejadian Stroke di RS Panti Wilasa Citarum Semarang”, Jurnal Keperawatan dan Kebidanan (JIKK), 1 (1), 2009.

. Geyer, J.D. & Gomez,. C.R. Stroke. United States of America: Wolters Kluwer Bussiness.2009.

. Nuraini B. Risk Factors of Hypertension. Medical Journal of Lampung University. 5(5), pp.10-19.2015

. Nabyl. Deteksi Dini Gejala dan Pengobatan Stroke : Solusi Hidup Sehat Bebas Stroke. Yogyakarta: Aulia. 2012

. McClure, L. et al. Assessing the performance of the Framingham Stroke Risk Score in the reasons for geographic and racial differences in stroke cohort. Miami: Regard. Volume II, pp 134-178. 2016.

. William , E. & Feeman, . J. BGS Graph Predicts Better Than the Framingham Risk Score. Journal of Clinical Lipidology, Volume IV(3), pp. 203. 2010

. Sacco, R. L. et al. Public Health Burden of Stroke. American Heart Association, 5(3), pp 57-64.2016

.Caplan, M., Andrian, J., Goldszmidt, M. & Louis, R. Essentioal Stroke. Jakarta: EGC. 2009.

. Tugasworo D. Prevensi Sekunder Stroke dalam Management of Post Stroke. Semarang : Badan Penerbit UNDIP. 2007.

. Kisela, F. Diabetes, the Metabolic Syndrome, and Ischemic Stroke. American Diabetes Association, Volume 30(12), pp. 3131-3140. 2007

. Marliana, Y.Gambaran Faktor Risiko pada Penderita Stroke Iskemik di RSUP H. Adam Malik Medan Tahun 2010. Skripsi Sarjana (Diterbitkan). Medan: Universitas Sumatera Utara. 2009

. Kawachi, A., Reena, S. & John , C. Smoking and stroke: the more you smoke the more you stroke. Expert Rev Cardiovasc Ther , Volume VII (2) , pp. 917–932. 2010.

Downloads

Published

2018-08-10

How to Cite

Abduh, S., Wardani, I., & Zulaikhah, S. T. (2018). Framingham Risk Score (FRS) as Risk Factor of Stroke. International Journal of Sciences: Basic and Applied Research (IJSBAR), 40(2), 70–77. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/9126

Issue

Section

Articles