Abstract

Objective. To determine the priority risk factors for maternal mortality (MM) and failed maternal mortality (FMM) on the basis of clinical and epidemiological features and to develop scientifically based patient-centered models for predicting severe obstetric conditions.
 Materials and methods. Primary documentation of successful and dysfunctional maternal outcomes that occurred at the levels I, II, III of medical organizations in Perm and the territories of Perm Krai from 2007 to 2018. Using random sampling, two observation groups were formed: women with failed maternal mortality, deceased women and the control group. Analytical epidemiological "case-control" studies were carried out, which included the determination of confidence intervals, etiological accuracy using Epi Info and Excel 2016 MSO programs, a package of applied electronic tables Stat2015 of the author ( V.S. Sheludko, 20012016), the MedCalc 15.8 Portable program.
 Results. Socio-behavioral, general somatic, obstetric-gynecological risk factors, the frequency of occurrence of which among women with failed maternal mortality was 1,44,3; 1,225,5; 1,17,6 times more often, and in the group of deceased mothers 1,99,0; 1,729,5; 2,89,0 times higher than in the group of healthy participants. The "indicators of maternal death" have been identified, which increase the risk of a failed maternal death turning into maternal death. Early clinical and laboratory signs of severe obstetric conditions are the following: high leukocyte intoxication index (LII), elevated levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), urea and creatinine, decreased levels of fibrinogen, prothrombin index (PTI), prolongation of thrombin time (TT). Infectious-inflammatory, hypertensive complications, comorbidity, a high percentage of premature births and, accordingly, severe perinatal conditions are significantly more common in groups with unfavorable outcomes.
 Conclusions. In the course of the study, reliably significant risk factors were identified, on the basis of which scientifically based models for assessing the probability of developing critical obstetric conditions were worked out.

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