■产后出血(PPH)是全球孕产妇死亡的主要原因,子宫收缩是主要的因素。然而,由于缺乏可靠的生物标志物,在普通人群中准确预测PPH仍然具有挑战性.
■使用回顾性队列数据,我们量化了40例诊断为子宫收缩乏力性PPH的女性血浆样本中的48种细胞因子.我们还分析了先前报道的与炎症反应相关的血象和凝血参数。应用最小绝对收缩和选择算子(LASSO)和逻辑回归来建立预测模型。在前瞻性队列中对建立的模型进行了进一步评估和时间验证。
■14个因素显示两组之间存在显着差异,其中IL2Rα,IL9,MIP1β,TNFβ,CTACK,产前Hb,淋巴%,PLR,LASSO选择LnSII来构建预测模型A。通过逻辑回归,模型B是使用产前血红蛋白构建的,PLR,IL2Rα,IL9训练集中模型A的曲线下面积(AUC)值,内部验证集,时间验证集为0.846(0.757-0.934),0.846(0.749-0.930),和0.875(0.789-0.961),分别。模型B的相应AUC值为0.805(0.709-0.901),0.805(0.701-0.894),和0.901(0.824-0.979)。决策曲线分析结果表明,两个列线图都对预测无张力PPH具有很高的净效益。
■我们确定了新的生物标志物,并开发了在接受“低风险”阴道分娩的女性中无张力PPH的预测模型,为进一步探索失稳PPH的机制提供免疫学见解。
UNASSIGNED: Postpartum hemorrhage (PPH) is the primary cause of maternal mortality globally, with uterine atony being the predominant contributing factor. However, accurate prediction of PPH in the general population remains challenging due to a lack of reliable biomarkers.
UNASSIGNED: Using retrospective cohort data, we quantified 48 cytokines in plasma samples from 40 women diagnosed with PPH caused by uterine atony. We also analyzed previously reported hemogram and
coagulation parameters related to inflammatory response. The least absolute shrinkage and selection operator (LASSO) and logistic regression were applied to develop predictive models. Established models were further evaluated and temporally validated in a prospective cohort.
UNASSIGNED: Fourteen factors showed significant differences between the two groups, among which IL2Rα, IL9, MIP1β, TNFβ, CTACK, prenatal Hb, Lymph%, PLR, and LnSII were selected by LASSO to construct predictive model A. Further, by logistic regression, model B was constructed using prenatal Hb, PLR, IL2Rα, and IL9. The area under the curve (AUC) values of model A in the training set, internal validation set, and temporal validation set were 0.846 (0.757-0.934), 0.846 (0.749-0.930), and 0.875 (0.789-0.961), respectively. And the corresponding AUC values for model B were 0.805 (0.709-0.901), 0.805 (0.701-0.894), and 0.901 (0.824-0.979). Decision curve analysis results showed that both nomograms had a high net benefit for predicting atonic PPH.
UNASSIGNED: We identified novel biomarkers and developed predictive models for atonic PPH in women undergoing \"low-risk\" vaginal delivery, providing immunological insights for further exploration of the mechanism underlying atonic PPH.