Abstract
Aim. The study of the dynamics of the rate of complicated abdominal delivery in the Kyrgyz Republic. Methods. A retrospective cohort study was conducted on the basis of the Kyrgyz state medical institute of retraining and advanced training of the Ministry of Health of the Kyrgyz Republic. The data of consolidated annual reports (form No. 14 «The hospital services report») of the Republican medical information center of the Ministry of Health of the Kyrgyz Republic on the number of abdominal deliveries and complicated abdominal deliveries in women of the Kyrgyz Republic in 2005-2016 were used. For the analysis of time series reflecting the change of the rate and dynamics of complicated abdominal delivery, the developmental cycle of 12 years was chosen. Medium-term prognosis of dynamics of complicated abdominal delivery was calculated till 2021 using the pair-wise linear regression equation, the equation parameters were calculated using the method of least squares. Results. The study showed the increase in the number of abdominal deliveries in the Kyrgyz Republic during 12 years by 3.2 times and the increase of complicated surgical deliveries by 11.2 times and revealed negative, strong and reliable correlation between maternal and perinatal mortality and the number of abdominal deliveries. A two-fold increase of the rate of complicated caesarean sections in 2010 compared to 2009 (p <0.001), a decrease of this parameter in 2011-2012 by 1.8 times (p <0.001) and subsequent increase by 3.1 times from 2013 to 2016 (p <0.001) were revealed. The leading place in the rate of complicated caesarean sections is taken by Bishkek and Osh region, where the institutions of tertiary medical care are located and severe obstetric and extragenital pathology is concentrated. The medium-term prognosis for the dynamics of complicated abdominal deliveries calculated till 2021 indicates the continued increase of this parameter. Conduction. The obtained results demonstrate the need for thorough study of this problem with revision and organization of information logistics to reveal a real state and determine cause-and-effect factors influencing these parameters.
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