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

O. Bulavenko, L. Ostapiuk, A. Voloshinovskii, V. Rud, T. Malyi, O. Rud
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引用次数: 3

Abstract

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).
产后脓性炎性疾病发展的预后模型
背景:目前,产后脓性炎症性疾病仍然是医学上的一个突出问题。因此,许多科学出版物致力于寻找解决这个问题的办法。这些解决方案主要包括优化基于抗生素的疾病预防和治疗的想法。然而,不幸的是,这些病理的早期诊断和预后被忽视。目的:建立产后脓性炎性疾病发展的预后模型。材料与方法:我们的研究重点是建立脓性炎性疾病的早期诊断和预后方法。主要队列由170名诊断为脓性炎症性疾病的妇女组成,而对照队列由40名妊娠无并发症的妇女组成;采用荧光光谱法对患者血清进行分析。此外,我们建议在产后子宫内膜炎患者的临床和实验室检查中使用各种标准化算法。结果:对对照组40名妇女和主组170名妇女的荧光光谱进行了研究。根据荧光光谱法获得的数据以及临床和实验室检查的数据(阴道外病理、妇科相关疾病、流产风险、手术、torch感染、阴道炎、分娩持续时间bb0 ~ 12h、分娩异常、血清荧光光谱最大值、荧光光谱≤0.845、年龄、卧床天数、胎儿窘迫),我们推导出了产后脓性炎性疾病发展的预后模型。结论:基于影响产后脓性炎性疾病发生的13个主要因素,建立了一个预后模型。该模型被确定为正确的概率超过99% (2 = 174.74;Df = 13)。
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