Variables Predictive of Survival in Patients with Coronary Disease

نویسندگان

  • K. E. HAMMERMEISTER
  • A. DEROUEN
  • T. DODGE
چکیده

A progression of univariate followed by multivariate analyses was applied to 46 variables selected from the clinical examination, exercise test, coronary arteriography, and quantitative angiographic assessment of left ventricular function in patients with coronary disease to determine those variables most predictive of survival. For the 733 medically treated patients, the final Cox's regression analysis showed that the left ventricular ejection fraction was most predictive of survival, followed by age, number of vessels with stenosis(es) .70%, and ventricular arrhythmia on the resting electrocardiogram. For the 1870 surgically treated patients, ventricular arrhythmia on the resting electrocardiogram was most predictive of survival followed by ejection fraction, heart murmur, left main coronary artery stenosis .50%, and use of diuretic agents.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بررسی اندکس پایی-بازویی بعنوان عامل پیشگویی کننده در تشخیص بیماری عروق کرونر بیمارستان امام، 83-1382

Background and Aim: Cardiovascular disease is one of the main causes of mortality and morbidity around the world and because of insidious and chronic progression of arterioscleroses and coronary artery disease (CAD) and also correlation between peripheral arterial disease and CAD we evaluated ankle brachial index (ABI) as a predictive factor for early diagnosis of CAD. Materials and Methods: Ev...

متن کامل

Investigation factors affecting the first recurrence of coronary artery disease in patients undergone angioplasty using cox survival model

Background: The incidence of restenosis in patients suffering from coronary artery disease after undergoing angioplasty is of paramount importance. Accordingly, this study aimed to investigate factors affecting the time of the first incidence of restenosis in patients undergone angioplasty in the city of Zanjan, Iran.   Methods: This retrospective cohort study was conducted on 421 patie...

متن کامل

Using Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approach

Heart disease is one of the major causes of morbidity in the world. Currently, large proportions of healthcare data are not processed properly, thus, failing to be effectively used for decision making purposes. The risk of heart disease may be predicted via investigation of heart disease risk factors coupled with data mining knowledge. This paper presents a model developed using combined descri...

متن کامل

The Role of Information and Communication Technology in Predicting Adherence to Treatment in Patients with Coronary Artery Disease

Background: Lack of adherence to cardiovascular therapies prevents the effectiveness of therapeutic interventions. The present study was conducted to determine the role of information and communication technology (ICT) in predicting adherence to treatment in patients with coronary artery disease (CAD). Methods: This was a cross sectional study with a predictive correlational design that was pe...

متن کامل

تحلیل داده‌های بقاء در بیماران قلبی و عروقی پس از آنژیوپلاستی به کمک مدل رگرسیون کاکس

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 fol...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005