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Introduction: epidemiological risk factors for coronary artery disease are closely related to the existence, evolution and complications of the disease. Objective: to design mathematical models predictive of coronary artery disease diagnosed by calcium score from epidemiological variables. Methods: a cross-sectional analytical study was carried out. The population consisted of 820 patients with chest pain and calcium score, the sample (246) was selected by simple random probability sampling. Logistic regression was employed from a logistic regression model (using the forward stepwise option) for each of the four coronary vessels, each model was fitted to the variables and those with coefficients significantly different from zero (p<0.05) were identified using the Wald statistic. We estimated the point Odd Ration and confidence intervals, performed internal validation and explored the performance through model discrimination with the analysis of the area under the curve and calibration through the Hosmer-Lemeshow Chi-square statistic. Results: the predominant age group was older than 60 years (61.4%), male sex (65.9%) and arterial hypertension (68.7%). The mathematical models for each coronary vessel exclude the variable age. The following are important predictors: diabetes and smoking. The internal validation technique supports the good performance of the mathematical models obtained. Conclusion: the result reinforces the need for predictive studies to ensure cardiovascular risk stratification by calcium score and epidemiological variables on which effective action should be taken to improve patient prognosis. [ABSTRACT FROM AUTHOR]

Introduction: coronary artery disease is one of the leading causes of death worldwide. A valuable tool for its diagnosis is calcium score by cardiac tomography. Objective: to describe the results of the use of calcium scoring in the diagnosis of coronary artery disease. Methods: a cross-sectional descriptive study was carried out at the Cardiocentro "Ernesto Che Guevara" of Santa Clara in 2019. The population consisted of 820 patients with chest pain attended at the tomography service and the sample consisted of 246 patients selected by simple random sampling. A request for informed consent was made and anamnesis, physical examination and coronary calcium score were performed. In the statistical analysis, the Kruskal-Wallis test was used to compare the variables describing the calcium score in the four coronary vessels and the Mann-Whitney U test (penalized by the Bonferroni method). Results: 61.4% of those investigated were over 60 years of age, 65.9% were male, 78.1% had some risk factor and arterial hypertension was the most frequent (68.7%). The most common diagnosis was multivessel disease (42.28%) and the anterior descending artery was the most affected (41.46%). There were significant differences between the mean ranges for the number of lesions in the vessels with a median of three for the anterior descending and right coronary arteries. Conclusion: the calcium score was able to diagnose coronary vessel disease in the majority of patients with chest pain. [ABSTRACT FROM AUTHOR]