Development and validation of a machine learning-based model to assess probability of systemic inflammatory response syndrome in patients with severe multiple traumas.

Background: Systemic inflammatory response syndrome (SIRS) is a predictor of serious infectious complications, organ failure, and death in patients with severe polytrauma and is one of the reasons for delaying early total surgical treatment. To determine the risk of SIRS within 24 h after hospitalization, we developed six machine learning models.

Materials And Methods: Using retrospective data about the patient, the nature of the injury, the results of general and standard biochemical blood tests, and coagulation tests, six models were developed: decision tree, random forest, logistic regression, support vector and gradient boosting classifiers, logistic regressor, and neural network.

TRANS-ILIAC DYNAMIC NAIL FOR MINIMALLY INVASIVE FIXATION OF THE POSTERIOR PELVIC RING INJURY: A BIOMECHANICAL STUDY.

The treatment of posterior pelvic ring fracture with the early mobilization purpose is surgery, which traditionally uses screws and sacral bar. We have created a new trans-iliac dynamic nail (TIDN) for fixation of the posterior pelvic ring. The advantage of TIDN is minimally invasion due to combination of interlocking nailing with the possibility of compression and decompression.

Are Kazakhstani Women Satisfied with Antenatal Care? Implementing the WHO Tool to Assess the Quality of Antenatal Services.

Women's satisfaction is a part of the quality assurance process with potential to improve antenatal health services. The objective of this study was to assess the prevalence of women's satisfaction with antenatal care in an urban Kazakhstani setting and investigate associated factors. A total of 1496 women who delivered in all maternity clinics from 6 February through 11 July 2013 in Semey, East Kazakhstan, filled out a standardized pretested questionnaire on satisfaction with antenatal care.