EVALUATION OF USE THE PREDICTIVE MODEL FOR THE COMPLICATED COURSE OF SUPRAVESICAL OBSTRUCTION IN PREGNANCY IN CHOICE OF TREATMENT TACTICS

Authors

  • M.M. Khasanov Tashkent Medical Academy

Keywords:

forecasting model, complicated supravesical obstruction, pregnancy, tactics

Abstract

To identify the cut-off values for the model of predicting the course of complicated supravesical obstruction
in pregnant women (PCCSOP) when choosing treatment tactics. Materials and methods: In a prospective study, data
from 405 pregnant women were analyzed, in each case, Z values of the PCCSOP model were noted, and the treatment
tactics were chosen as the outcome. Results: the Z value for the control group mean was 2.88±0.87 (2.71-3.21), for the
outpatient group, which included 51 patients without AB, mean was 4.55±1.27 (2.71-3.21), for the outpatient group,
125 patients who received AB therapy mean was 5.21±1.22 (3.4-6.14). The values of Z in the group of 108 patients with
inpatient treatment mean was 6.58±1.11 (5.22-7.98). In the group of 84 patients who received surgical treatment mean Z
value was 9.44±1.57 (9.11-11.02). The ROC curve analysis data showed that the cut-off values for the group of outpatient
patients without antibiotic therapy were 3.55, for the out-patient group with AB therapy – 5.94, for the inpatient group
– 7.42 and for surgical treatment – 9.55. Conclusion: The PCCSOP model, which is characterized by high sensitivity and
specificity, makes it possible to classify pregnant women not only for the presence of a complicated course but also, based
on the value of the model, to determine the tactics of treatment of pregnant women with supravesical obstruction.

Published

2020-07-08

How to Cite

Khasanov, M. (2020). EVALUATION OF USE THE PREDICTIVE MODEL FOR THE COMPLICATED COURSE OF SUPRAVESICAL OBSTRUCTION IN PREGNANCY IN CHOICE OF TREATMENT TACTICS. Toshkent Tibbiyot Akademiyasi Axborotnomasi, (4), 134-137. Retrieved from https://mail.journals.tma.uz/index.php/ttaa/article/view/78

Issue

Section

Clinical Medicine