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母体生物标志物和炎症评分NLR、PLR、MLR、SII及SIRI对早产风险的预测作用

The Predictive Role of Maternal Biological Markers and Inflammatory Scores NLR, PLR, MLR, SII, and SIRI for the Risk of Preterm Delivery.

作者信息

Hrubaru Ingrid, Motoc Andrei, Moise Marius Liviu, Miutescu Bogdan, Citu Ioana Mihaela, Pingilati Raja Akshay, Popescu Daniela-Eugenia, Dumitru Catalin, Gorun Florin, Olaru Flavius, Erdelean Izabella, Forga Marius, Nicolae Nicoleta, Citu Cosmin

机构信息

Department of Obstetrics and Gynecology, "Victor Babes" University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.

Doctoral School, "Victor Babes" University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.

出版信息

J Clin Med. 2022 Nov 26;11(23):6982. doi: 10.3390/jcm11236982.

Abstract

In many countries, preterm birth, defined as birth before 37 completed weeks of gestation, is the primary cause of infant death and morbidity. An increasing body of research suggests that inflammation (both clinical and subclinical) plays a significant role in inducing preterm labor or developing pregnancy problems that lead to premature birth. Consequently, the purpose of this research was to determine the predictive value of the Neutrophil-Lymphocyte Ratio (NLR), derived Neutrophil-Lymphocyte Ratio (dNLR), Monocytes-to-Lymphocyte Ratio (MLR), Platelets-to-Lymphocyte Ratio (PLR), Systemic immune-inflammation index (SII), and systemic inflammatory response index (SIRI), for premature delivery. A retrospective study analyzed a total of 243 eligible pregnancies that resulted in a preterm birth during 2020 and 2021. A control group without a history of preterm birth was matched by age and trimester of laboratory analysis at a 1:1 ratio. Although the number of comorbidities was similar among study groups, the body-mass index estimated for the week of gestation was significantly higher among the patients from the prematurity group, as well as the prevalence of urinary tract infections and smoking. Laboratory data showed that patients with a preterm birth had significantly higher white blood cell count and monocytes, but significantly lower lymphocytes, platelets, and hemoglobin. The NLR, dNLR, PLR, and MLR scores showed to be significantly higher among patients from the prematurity group, but SII and SIRI were not significantly different between the study groups. It was observed that the AUC values of NLR, dNLR, PLR, and MLR were higher than 0.600, respectively NLR had the highest value among the tested scores (AUC = 0.694) and the highest sensitivity in this study (71%). The highest sensibility was achieved by dNLR, with 70%, and an AUC value of 0.655 (-value = 0.022). PLR had the second-highest AUC value (0.682) and the best score in terms of sensitivity (70%) and sensibility (69%) (-value = 0.015). Lastly, MLR had the lowest significant AUC score (0.607) and lowest sensitivity/sensibility. The significant cut-off values for the inflammatory scores were 9.0 for NLR, 9.8 for dNLR, 250 for PLR, and 4.07 for MLR. After evaluating the importance of these inflammatory scores, further clinical applications should be conducted to confirm the results and improve therapy and care to reduce the burden of premature deliveries.

摘要

在许多国家,早产(定义为妊娠满37周前出生)是婴儿死亡和发病的主要原因。越来越多的研究表明,炎症(包括临床炎症和亚临床炎症)在诱发早产或引发导致早产的妊娠问题中起重要作用。因此,本研究的目的是确定中性粒细胞与淋巴细胞比值(NLR)、衍生中性粒细胞与淋巴细胞比值(dNLR)、单核细胞与淋巴细胞比值(MLR)、血小板与淋巴细胞比值(PLR)、全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)对早产的预测价值。一项回顾性研究分析了2020年至2021年期间共243例导致早产的合格妊娠病例。以1:1的比例匹配了无早产史的对照组,对照组在年龄和实验室分析孕周方面与研究组相匹配。尽管研究组之间合并症数量相似,但早产组患者妊娠周数估计的体重指数、尿路感染患病率和吸烟率均显著更高。实验室数据显示,早产患者的白细胞计数和单核细胞显著更高,但淋巴细胞、血小板和血红蛋白显著更低。早产组患者的NLR、dNLR、PLR和MLR评分显著更高,但研究组之间SII和SIRI无显著差异。观察到NLR、dNLR、PLR和MLR的AUC值分别高于0.600,其中NLR在测试评分中值最高(AUC = 0.694),在本研究中敏感性最高(71%)。dNLR敏感性最高,为70%,AUC值为0.655(P值 = 0.022)。PLR的AUC值第二高(0.682),在敏感性(70%)和特异性(69%)方面得分最佳(P值 = 0.015)。最后,MLR的AUC评分最低(0.607),敏感性/特异性也最低。炎症评分显著性临界值分别为:NLR为9.0、dNLR为9.8、PLR为250、MLR为4.07。在评估这些炎症评分的重要性之后,应进一步开展临床应用以证实结果,并改善治疗和护理,从而减轻早产负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7815/9738289/1f2cdec95848/jcm-11-06982-g001.jpg

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