A method for predicting stroke development in men working under the influence of electromagnetic fields of industrial frequency

The problem of studying the development of stroke in men of working age working in conditions of high occupational risk is relevant.

The aim of the study was to develop a method for predicting the development of stroke in men working under the influence of electromagnetic fields of industrial frequency.

We examined 98 men who had professional contact with the factor of electromagnetic radiation (EMI) of industrial frequency, aged 30 to 65 years, with work experience of 5 years or more. Two groups were identified: the first group — 56 stroke patients, the second group — 42 men diagnosed with chronic cerebral ischemia. Using the method of sequential inclusion of the studied risk factors (ForwardStepwise), those that made an independent significant contribution to the development of stroke were selected. Based on the results obtained, a logistic regression formula was created that determines the probability of stroke in patients working on installation, repair, maintenance of electrical networks and electrical equipment.

The presence of influence on stroke development of the following factors was established: patient’s age (β-coefficient=–0,112, p=0,013), total cholesterol level (β-coefficient=0,782, p=0,009), smoking factor (β-coefficient=–2,8, p=0,001), alcohol abuse factor (β-coefficient=3,84, p=0,0001), presence of arterial hypertension of 2–3 degrees (β-coefficient=2,63, p=0,002). In the patient, the values of these 5 parameters are determined, then these values are substituted into the appropriate formula to calculate the value of p (X). A p (X) value greater than 0.32 indicates a high risk of stroke. The sensitivity of the proposed method was 71.4%, specificity–73.8%.

The proposed method for predicting the development of stroke in men whose professional activity is associated with the installation, repair, maintenance of electrical networks and electrical equipment, can be used in medical practice: the patient is determined by the value of 5 parameters (patient’s age, total cholesterol, a history of exposure to smoke, factors alcohol abuse, arterial hypertension of 2–3 degrees), then these values are substituted into the appropriate formula. The calculation of the p (X) value can be implemented in the Excel table processor

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