Possibilities of predicting purulent-inflammatory complications after cesarean section

I. I. Kutsenko, I. O. Borovikov, M. V. Galustyan, A. S. Magay, O. I. Borovikova
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Abstract

Objective: identify the main risk factors in the development of purulent-inflammatory complications after cesarean section. Materials and methods: puerperal women after cesarean section (n = 90): 24 patients with a complication of puerperia in the form of endometritis (group I), 16 — with the insolvency of the suture on the uterus (group II) and 50 — with a physiologically occurring postoperative period (group (III) of control). An analysis of anamnestic, clinical and laboratory studies of puerperal women after abdominal delivery with a complicated postoperative period was carried out. With the help of logistic regression with the construction of an ROC-curve, a rank correlation analysis of the influence of adverse factors with the calculation of diagnostic coefficients (DC) was performed. Results: based on the assessment of the identified main clinical-anamnestic and laboratory predictors, using mathematical modeling methods, a scale for predicting the risk of purulent-inflammatory complications in early puerperia after abdominal delivery has been developed. Conclusion: prognostic mathematical scale for assessing the risk of purulent-inflammatory complications in puerperal women after abdominal delivery makes it possible to identify the main predictors of infectious diseases in these patients, which contributes to their timely prevention and, thereby, reducing the frequency of severe forms of postpartum infection.
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预测剖宫产术后脓性炎症并发症的可能性
目的:探讨剖宫产术后脓炎性并发症发生的主要危险因素。材料和方法:剖宫产后产褥期妇女(n = 90): 24例以子宫内膜炎形式出现产褥期并发症(I组),16例伴有子宫缝合线失效(II组),50例伴有生理性术后并发症(III组)作为对照。本文对腹部分娩后复杂的产褥期产妇的记忆、临床和实验室研究进行了分析。采用logistic回归方法,构建roc曲线,对不良因素的影响进行秩相关分析,计算诊断系数(DC)。结果:通过对已确定的主要临床-记忆和实验室预测因素的评估,采用数学建模方法,制定了预测腹部分娩后早期产褥期脓性炎症并发症风险的量表。结论:用于评估产褥期妇女腹部分娩后脓性炎症并发症风险的预后数学量表,可以确定这些患者感染性疾病的主要预测因素,有助于及时预防,从而减少严重产后感染的发生频率。
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