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可溶性血管内皮生长因子受体-1是感染严重急性呼吸综合征冠状病毒2型且患有妊娠高血压疾病的女性不良孕产妇结局的独立预测指标。

sFlt-1 Is an Independent Predictor of Adverse Maternal Outcomes in Women With SARS-CoV-2 Infection and Hypertensive Disorders of Pregnancy.

作者信息

Hernandez-Pacheco Jose Antonio, Torres-Torres Johnatan, Martinez-Portilla Raigam Jafet, Solis-Paredes Juan Mario, Estrada-Gutierrez Guadalupe, Mateu-Rogell Paloma, Nares-Torices Miguel Angel, Lopez-Marenco Mario Enmanuel, Escobedo-Segura Keren Rachel, Posadas-Nava Alejandro, Villafan-Bernal Jose Rafael, Rojas-Zepeda Lourdes, Becerra-Navarro Norma Patricia, Casillas-Barrera Manuel, Pichardo-Cuevas Mauricio, Muñoz-Manrique Cinthya, Cortes-Ramirez Ivan Alonso, Espino-Y-Sosa Salvador

机构信息

Clinical Research Branch, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Mexico City, Mexico.

Hospital de la Mujer, Mexico City, Mexico.

出版信息

Front Med (Lausanne). 2022 May 9;9:894633. doi: 10.3389/fmed.2022.894633. eCollection 2022.

DOI:10.3389/fmed.2022.894633
PMID:35615097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9125178/
Abstract

BACKGROUND

Preeclampsia (PE) and COVID-19 share a common vascular-endothelial physiopathological pathway that may aggravate or worsen women's outcomes when both coexist. This study aims to evaluate the association of sFlt-1 levels and adverse maternal outcomes among positive SARS-CoV-2 pregnant women with and without hypertensive disorders of pregnancy (HDP).

METHODS

We performed a multicenter retrospective cohort study of pregnant women with confirmed SARS-CoV-2 infection that required hospital admission. The exposed cohort comprised women with a diagnosis of an HDP. The primary outcome was a composite definition of adverse maternal outcome. The association between predictors and the main and secondary outcomes was assessed using an elastic-net regression which comprised a Lasso and Ridge regression method for automatic variable selection and penalization of non-statistically significant coefficients using a 10-fold cross-validation where the best model if automatically chosen by the lowest Akaike information criterion (AIC) and Bayesian information criteria (BIC).

RESULTS

Among 148 pregnant women with COVID-19, the best predictive model comprised sFlt-1 MoMs [odds ratio (OR): 5.13; 95% CI: 2.19-12.05], and HDP (OR: 32.76; 95% CI: 5.24-205). sFlt-1 MoMs were independently associated with an increased probability of an adverse maternal outcome despite adjusting for HDP.

CONCLUSIONS

Our study shows that sFlt-1 is an independent predictor of adverse outcomes in women with SARS-CoV-2 despite hypertension status.

摘要

背景

子痫前期(PE)和新型冠状病毒肺炎(COVID-19)具有共同的血管内皮生理病理途径,当两者共存时可能会加重或恶化女性的预后。本研究旨在评估严重急性呼吸综合征冠状病毒2(SARS-CoV-2)检测呈阳性的孕妇中,可溶性血管内皮生长因子受体-1(sFlt-1)水平与不良孕产妇结局之间的关联,这些孕妇患有或未患有妊娠高血压疾病(HDP)。

方法

我们对确诊为SARS-CoV-2感染且需要住院治疗的孕妇进行了一项多中心回顾性队列研究。暴露队列包括诊断为HDP的女性。主要结局是不良孕产妇结局的综合定义。使用弹性网回归评估预测因素与主要和次要结局之间的关联,弹性网回归包括套索回归和岭回归方法,用于自动变量选择,并使用10折交叉验证对非统计学显著系数进行惩罚,其中最佳模型由最低的赤池信息准则(AIC)和贝叶斯信息准则(BIC)自动选择。

结果

在148例COVID-19孕妇中,最佳预测模型包括sFlt-1中位数倍数(MoMs)[比值比(OR):5.13;95%置信区间(CI):2.19 - 12.05]和HDP(OR:32.76;95% CI:5.24 - 205)。尽管对HDP进行了校正,但sFlt-1 MoMs与不良孕产妇结局的概率增加独立相关。

结论

我们的研究表明,无论高血压状态如何,sFlt-1都是SARS-CoV-2感染女性不良结局的独立预测因子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c4b/9125178/e821cc83ee59/fmed-09-894633-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c4b/9125178/e821cc83ee59/fmed-09-894633-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c4b/9125178/e821cc83ee59/fmed-09-894633-g0001.jpg

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Integrating Health Data-Driven Machine Learning Algorithms to Evaluate Risk Factors of Early Stage Hypertension at Different Levels of HDL and LDL Cholesterol.整合健康数据驱动的机器学习算法,以评估不同高密度脂蛋白(HDL)和低密度脂蛋白(LDL)胆固醇水平下早期高血压的风险因素。
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