Relevance. Deteriorating reproductive health of women against the background of the prevalence of acute respiratory diseases (ARI) among the population directly affects the demographic situation not only in Russia, but also throughout the world. The prevalence of fertility over mortality is the most significant and urgent issue in the demographic issues. Establishing the influence of the frequency of ARI on the development of somatic pathology such as adnexitis and, consequently, considering this disease as a potential cause contributing to a reduction in fertility is a very significant aspect in our time. The aim of the study was to assess the quantitative risk of the effect of acute respiratory diseases on the occurrence of inflammatory diseases of the uterine appendages by means of statistical processing of medical information system (MIS) data. Materials and Methods. The epidemiological study was designed as a retrospective analytic cohort study of cases of temporary disability in the adult population, using statistical and analytic methods with the identification of cause-effect relationships, using an MIS, which provides primary collection, storage, sampling, and grouping of data on patient morbidity, with subsequent calculations of relative risk and its 95% confidence interval. Results and Discussion. A total of 88,735 cases of disability from 2014 to 2019 were analyzed. The sampling was carried out using MIS, which allowed us to select patients with acute respiratory diseases and group them according to the frequency of morbidity into the main and control groups. The main group included those who were frequently ill, more than 3 times a season, and the control group included those who were rarely ill, 1-2 times a season. We chose 4 980 patients; 1461 of them were included in the main group and 3519 in the control one. The relationship between the frequency of acute respiratory diseases and the development of inflammatory diseases of the uterine appendages was statistically significant. Conclusions. The use of MIS has revealed an atypical causal relationship between diseases, which allows us, in the future, to expand the spectrum of studies of morbidity and use the statistical data necessary to determine the consequences of epidemiological situations, which will make it possible to develop a series of preventive measures to improve the demographic situation in the country.