A Prognostic Model of the Development of Postpartum Purulent-Inflammatory Diseases

• 作者: Anatolii Voloshinovskii Lesia Ostapiuk Oleksii Rud Olha Bulavenko Taras Malyi Victor Rud
• 来源期刊: 临床医学国际期刊(英文)
• 学科: 医学
• 关键词: POSTPARTUM Purulent-Inflammatory DISEASES PROGNOSTIC Model The Method of LOGISTIC Regression ROC-Analysis
• 年，卷（期）: 2020,（2）
• 页码范围: 32-42
• 页数: 11页
• 分类号: R73

摘要

Background: Currently, postpartum purulent-inflammatory diseases continue to be a prominent issue in medicine. As a result, numerous scientific publications were devoted to finding the solution to this issue. Primarily these solutions included the idea of optimisation of antibiotic-based disease prevention and therapies. However, the early diagnosis and prognosis of these pathologies were unfortunately overlooked. The Aim of the Study: To build a prognostic model of the development of postpartum purulent-inflammatory diseases. Material and Methods: The main focus of our research was establishment of methods of early diagnosis and prognosis of purulent-inflammatory diseases. The main cohort consisted of 170 women diagnosed with purulent-inflammatory diseases while the control cohort was made of 40 women with an uncomplicated course of pregnancy;patient’s blood serum was analysed using fluorescence spectroscopy. Additionally, we implied a variety of standardised algorithms used during clinical and laboratory examination of the patients with postpartum endometritis. Results: Fluorescence spectra were studied for 40 women of control group and 170 women of the main group. Based on the data obtained using fluorescence spectroscopy and data from clinical and laboratory examinations (extragenital pathology, gynecology-related diseases, risk of miscarriage, surgery, TORCH-infections, colpitis, labour duration > 12 hrs, labour anomalies, maximum blood serum fluorescence spectrum values, fluorescence spectrum ≤ 0.845, age, number of bed days, fetal distress), we have derived a prognostic model of the development of postpartum purulent-inflammatory diseases. Conclusion: As a result, we derived a prognostic model based on the main 13 factors, which contribute to development of postpartum purulent-inflammatory diseases. This model was determined correct with a probability of over 99% (р 2 = 174.74;df = 13).