剖宫产术后脓炎性并发症风险预测模型:队列回顾性研究

I. I. Kutsenko, I. O. Borovikov, A. S. Magay, V. P. Bulgakova, O. I. Borovikova
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引用次数: 1

摘要

背景该研究的相关性与缺乏确定产褥期感染性并发症风险的统一策略有关。目前,专家们使用的是从研究中收集的数据,这些研究记录了产后妇女群体或队列中的主要感染因素。然而,这些因素的准确性尚未确定,预后也无法个性化。本文分析了剖宫产(剖腹产)并发感染性并发症的重要危险因素,建立了其预后模型和产后感染风险的个体评估模型,以便及时采取预防措施。客观的确定剖宫产术后产后化脓性炎症并发症的预测因素,评估其预测价值,并建立一个确定其发生风险的统计模型。方法。队列回顾性研究(2019年1月至2022年1月)在克拉斯诺达尔的四家产科卫生机构进行,重点分析医疗记录。收集所有剖宫产妇女的记忆、临床和实验室数据。模型:产后42天内被诊断为任何与剖宫产相关的感染的患者——术后缝线感染、子宫内膜炎、腹膜炎、血栓性静脉炎、败血症。对感染进行分组,通过内部验证测试进行单一风险评估,并开发多因素逻辑回归模型。所有分析均使用R 3.2.3版(伊利诺伊州芝加哥,SPSS股份有限公司)和个体预后或诊断多变量预测模型的透明报告(TRIPOD)进行。后果与剖宫产相关的感染发生在2.50%的女性中(n=548;95%置信区间2.6-3.5),缝线断裂发生在0.59%(n=129;95%,置信区间0.41-0.81),子宫内膜炎发生在1.46%(n=321;95%,可信区间1.15-1.94),腹膜炎发生在0.16%(n=35;95%,CI 0.11-0.20),血栓性静脉炎发生在0.04%(n=9;95%,CI0.01-0.05),败血症0.25%(n=54;95%,CI 0.15-0.35)。作者已经确定了产褥期感染性并发症发展的14个具有高预后风险的主要变量。该模型通过内部验证区分了有和没有产褥期化脓性炎症并发症的女性(一致性指数=0.712,95%,CI 0.672–0.755)。结论:所开发的模型可用于准确预测腹部分娩后感染性并发症的风险,并可用于识别高危患者。它确保了一种差异化的方法,有可能扩大研究并加强抗生素治疗,从而减少手术部位产褥期感染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model for Predicting Risk of Postpartum Purulent-Inflammatory Complications after Cesarean Section: Cohort Retrospective Study
Background. Relevance of the study is related to the lack of a unified strategy for determining the risk of infectious complications of puerperium. Currently, the specialists use the collected data from studies documenting the main factors of infection in a population or cohorts of postpartum women. However, accuracy of these factors is not established and prognosis could not be personalized. The paper analyzes significant risk factors for the infectious complications associated with cesarean section (C-Section) and develops a model for their prognosis and an individual assessment of the risk of postpartum infection in order to take timely preventive measures. Objective. To identify predictors of postpartum purulent-inflammatory complications after cesarean section, to evaluate their predictive value, and to develop a statistical model for determining the risk of their occurrence.Methods. The cohort retrospective study (January 2019 to January 2022) was conducted in four obstetric health facilities of Krasnodar and was focused on analysis of medical records. Anamnestic, clinical and laboratory data of all women after cesarean section delivery were collected. Model: a patient diagnosed with any infection associated with cesarean section within 42 days after delivery — postoperative suture infection, endometritis, peritonitis, thrombophlebitis, sepsis. Infections were grouped to carry out a single risk assessment with an internal validation test and to develop a multifactor logistic regression model. All analyses were conducted using version R 3.2.3 (SPSS Inc., Chicago, IL) and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD).Results. Infection associated with cesarean section occurred in 2.50% of women (n = 548; 95% CI 2.6–3.5), suture disruption — in 0.59% (n = 129; 95%, CI 0.41–0.81), endometritis — 1.46% (n = 321; 95%, CI 1.15–1.94), peritonitis — 0.16% (n = 35; 95%, CI 0.11–0.20), thrombophlebitis 0.04% (n = 9; 95%, CI 0.01–0.05), sepsis 0.25% (n = 54; 95%, CI 0.15–0.35). The authors have identified 14 major variables with a high prognostic risk for the development of infectious complications of puerperium. The model differentiated women with and without purulent inflammatory complications of puerperium by internal validation (concordance index = 0.712, 95%, CI 0.672–0.755).Conclusion. The developed model can be used to accurately predict the risk of infectious complications after abdominal delivery and to identify high-risk patients. It ensures a differentiated approach with a possibility to expand studies and strengthen antibiotic therapy, which promotes reduction of surgical site puerperal infection.
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