Volume 21, Issue 86 (Feb 2012)                   J Mazandaran Univ Med Sci 2012, 21(86): 100-106 | Back to browse issues page

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Yusefnezhad K, Shabankhan B, Etemadinezhad S, Yazdani Cherati J, Masoomi S. Analysis of Survival Data in Coronary Artery Disease Patients after Angioplasty Using Cox Regression Model. J Mazandaran Univ Med Sci 2012; 21 (86) :100-106
URL: http://jmums.mazums.ac.ir/article-1-1052-en.html
Analysis of Survival Data in Coronary Artery Disease Patients after Angioplasty Using Cox Regression Model
Kayvan Yusefnezhad , Bizhan Shabankhan , Siavash Etemadinezhad , Jamshid Yazdani Cherati , Safoura Masoomi
Abstract:   (12562 Views)
Abstract Background and purpose: Coronary artery disease is one of the major causes of death worldwide and analysis of survival data is important in these patients. The Cox model not only calculates the hazard function but also introduces other significant variables. Materials and methods: 128 patients referred to Mazandaran Heart Center from 2005 to 2007 and treated by angioplasty were followed till 2012 for major complications. Results: The time of hospitalization after angioplasty, familial history and diabetes mellitus were variables found significant using Cox Model. Conclusion: According to our findings, the risk of restenosis in patients treated by angioplasty increases by time. The survival of the patients decreases considerably after 60 months. Hazard rate increases significantly after 70 month. Key words: Survival, coronary artery disease, angioplasty
Keywords: Key words: Survival, coronary artery disease, angioplasty
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Type of Study: Research(Original) |
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