Key result
A new laboratory-diagnostic complex and logic-mathematic model was developed to assess numeric risks of ischemic heart disease and coronary atherosclerosis among 339 patients.
Case-Control (n=339)
A new calculator based on a system of logic-mathematic models and biochemical parameters was developed to assess the risk of ischemic heart disease and coronary atherosclerosis.
The paper focuses on tasks of creating and implementing a new technique aimed at assessing ischemic heart diseases risk. The techniques is based on a laboratory-diagnostic complex which includes oxidative, lipid-lipoprotein, inflammatory and metabolic biochemical parameters; s system of logic-mathematic models used for obtaining numeric risk assessments; and a program module which allows to calculate and analyze the results. we justified our models in the course of our research which included 172 patients suffering from ischemic heart diseases (IHD) combined with coronary atherosclerosis verified by coronary arteriography and 167 patients who didn't have ischemic heart diseases. Our research program included demographic and social data, questioning on tobacco and alcohol addiction, questioning about dietary habits, chronic diseases case history and medications intake, cardiologic questioning as per Rose, anthropometry, 3-times measured blood pressure, spirometry, and electrocardiogram taking and recording with decoding as per Minnesota code. We detected biochemical parameters of each patient and adjusted our task of creating techniques and models for assessing ischemic heart disease risks on the basis of inflammatory, oxidative, and lipid biological markers. We created a system of logic and mathematic models which is a universal scheme for laboratory parameters processing allowing for dissimilar data specificity. The system of models is universal, but a diagnostic approach to applied biochemical parameters is specific. The created program module (calculator) helps a physician to obtain a result on the basis of laboratory research data; the result characterizes numeric risks of coronary atherosclerosis and ischemic heart disease for a patient. It also allows to obtain a visual image of a system of parameters and their deviation from a conditional standard -pathology boundary. The complex is implemented into practice by the Scientific Research Institute for Therapy and Preventive Medicine.
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Yakovina et al. (2017) conducted a case-control in Ischemic heart disease and coronary atherosclerosis (n=339). Logic-mathematic models based on biochemical parameters vs. Patients without ischemic heart disease was evaluated on Numeric risks of coronary atherosclerosis and ischemic heart disease. A new laboratory-diagnostic complex and logic-mathematic model was developed to assess numeric risks of ischemic heart disease and coronary atherosclerosis among 339 patients.
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