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使用简单血液生物标志物对剖宫产术后感染进行早期预测:一项病例对照研究。

Early prediction of post cesarean section infection using simple hematological biomarkers: A case control study.

作者信息

Rotem Reut, Erenberg Miriam, Rottenstreich Misgav, Segal David, Yohay Zehava, Idan Inbal, Yohay David, Weintraub Adi Y

机构信息

Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University Medical School of Jerusalem, Israel.

Obstetrics and Gynecology, Soroka University Medical Center, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

出版信息

Eur J Obstet Gynecol Reprod Biol. 2020 Feb;245:84-88. doi: 10.1016/j.ejogrb.2019.12.009. Epub 2019 Dec 23.

Abstract

OBJECTIVE

We aimed to investigate whether the neutrophil to lymphocyte ratio (NLR) may assist in the prediction of post CS infections.

STUDY DESIGN

This was a case control study performed at the Soroka University Medical Center, a large tertiary teaching medical center, between the years 2012-2016. Cases (post CS infection) were matched to controls (without post CS infection) in a proportion of 2:1. Matching was done according to surgery setting (elective vs. urgent) and date of surgery. Various demographic, clinical and obstetrical characteristics were collected. Laboratory tests that were taken 6-24 h postoperatively were compared between the study groups. Univariate analysis was followed by a multivariate one. Area under the curve was calculated for selected indices.

RESULTS

During the study period 113 patients who developed postoperative infection were compared with 224 healthy controls. Among patients in the study group, 71.7 % were diagnosed with surgical site infection, 7.1 % with endometritis and 21.2 % with other infections. Total neutrophil and lymphocyte counts were significantly higher among patient in the study group. NLR as well as platelet to lymphocyte (PLR) ratio were significantly higher among patients during the first 24 postoperative hours. NLR and PLR were found to be independently associated with post CS infection controlling for surgery length, use of hemostatic agents/adhesion barrier and skin closure technique (aOR 1.11 95 % CI 1.06-1.17, aOR 1.004 95 % CI 1.001-1.006, respectively). A performance analysis for NLR showed an area-under-the receiver operating curve (AUC) of 67 % (P = 0.006).

CONCLUSION

NLR is an easy readily available tool that may have a predictive value in early detection of post CS infection. Further studies are needed in order to support our findings before clinical implications of these findings can be recommended.

摘要

目的

我们旨在研究中性粒细胞与淋巴细胞比值(NLR)是否有助于预测剖宫产术后感染。

研究设计

这是一项病例对照研究,于2012年至2016年在索罗卡大学医学中心进行,该中心是一家大型三级教学医疗中心。病例(剖宫产术后感染)与对照(无剖宫产术后感染)按2:1的比例匹配。根据手术类型(择期与急诊)和手术日期进行匹配。收集了各种人口统计学、临床和产科特征。比较了研究组术后6 - 24小时进行的实验室检查结果。先进行单因素分析,然后进行多因素分析。计算选定指标的曲线下面积。

结果

在研究期间,将113例发生术后感染的患者与224例健康对照进行了比较。研究组患者中,71.7%被诊断为手术部位感染,7.1%为子宫内膜炎,21.2%为其他感染。研究组患者的中性粒细胞和淋巴细胞总数显著更高。术后24小时内患者的NLR以及血小板与淋巴细胞比值(PLR)显著更高。在控制手术时长、止血剂/粘连屏障的使用和皮肤缝合技术后,发现NLR和PLR与剖宫产术后感染独立相关(调整后比值比分别为1.11,95%置信区间1.06 - 1.17;1.004,95%置信区间1.001 - 1.006)。NLR的性能分析显示,受试者操作特征曲线(ROC)下面积为67%(P = 0.006)。

结论

NLR是一种易于获得的工具,可能对早期检测剖宫产术后感染具有预测价值。在能够推荐这些发现的临床意义之前,需要进一步的研究来支持我们的发现。

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