ABILITY PREDICTION OBSTRUCTIVE CORONARY ARTERY DISEASE OF THE EXTENSIVE DIAMOND – FORRESTER MODEL OF THE PATIENT HAVING CHEST PAIN SUSPECTED CORONARY ARTERY DISEASE AT HOAN MY CUU LONG GENERAL HOSPITAL IN 2020-2021

Thanh Nghi Le1, , Viet An Tran2
1 Hoan My Cuu Long General Hospital
2 Can Tho University of Medicine and Pharmacy

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Abstract

  Background: Coronary artery disease (CAD) which is a common cardiovascular disease, is the leading cause of death worldwide. Guidelines of CAD give a estimation priori probability model based on reseach: validation, updating, extension of Diamond – Forrester model. Objectives: 1. Determined probability obstructive coronary and related factors; 2. Examined the predictive value obstructive coronary artery of extensive Diamond - Forrester model in the patient having chest pain suspected CAD at Hoan My Cuu Long General Hospital in 2020-2021. Materials and methods: A cross – sectional study with analysis. There are 136 patients having chest pain suspected CAD at Hoan My Cuu Long General Hospital in 2020-2021. Results: From 6/2020 to 4/2021, there were 136 patients having chest pain suspected CAD: 35.3% were male, 64.7% were female; average was 69.86±10.52. The ratio of the patient with significant stenosis coronary artery was 58.8%. There are 4 variables capable of estimating significant obstructive coronary artery: hypertension, diabetes, elevated LDL-c, type of chest pain. The result of the study determines regression equation: Y = -6.317 + 3.074 × (hypertension) + 2.877 × (diabetes) + 2.651 × (elevated LDL-c) + 2.377 × (typical chest pain) with a correct predictive value of 69.9% . Conclusion: An estimation priori probability model which includes hypertension, diabetes, elevated LDL-c, type of chest pain, can predict significant obstructive coronary with patients suspected CAD.  

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References

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