妊娠期糖尿病的预测:预约就诊时中性粒细胞与淋巴细胞比例的作用

S. M. Fahim, W. Silva, W. Abeykoon
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摘要

妊娠期糖尿病(GDM)影响约10%的妊娠。各种炎症标志物已被证明可以预测未来糖尿病的风险,中性粒细胞淋巴细胞比率(NLR)水平与代谢综合征标准显著相关。然而,很少有研究调查NLR与GDM发展之间的可能关联。目的:比较GDM组与对照组的NLR。•确定预测GDM的NLR的最佳临界值。方法:对所有在康提教学医院产前门诊就诊6个月的妊娠早期妇女进行纵向观察研究,在妊娠早期进行全血细胞计数,在妊娠24-28周进行口服葡萄糖耐量试验(OGTT)。样本量为361例,采用非概率方便抽样技术。结果:平均NLR值为3.16 (SD=1.84), GDM母亲与非GDM母亲的差异无统计学意义。ROC曲线NLR左上角最大值为1.32,作为截断值,灵敏度为99.6%,特异度为21.2%。结论和建议:NLR与妊娠24-28周OGTT值呈正相关,可作为早期预约就诊的预测指标。GDM患者与非GDM患者的平均值无显著差异。NLR对GDM的预测应该在有针对性的研究人群中进行进一步研究,并采用广泛的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Gestational diabetes: Role of neutrophil to lymphocyte ratio at booking visit
Introduction: Gestational Diabetes Mellitus (GDM) affect up to approximately 10% of all pregnancies. Various markers of inflammation have been shown to predict the future diabetes risk and Neutrophil Lymphocyte Ratio (NLR) level is significantly correlated with metabolic syndrome criteria. However, very few studies investigated any possible association between NLR and development of GDM. Objectives • To compare the NLR among GDM group and control group. • To identify an optimal cut-off value of NLR in predicting GDM. Methods: A longitudinal observational study in all pregnant women who are in their first trimester at antenatal clinic, Teaching Hospital, Kandy for six months was carried out with a Full Blood Count at the first trimester and Oral Glucose Tolerance Test (OGTT) at the 24-28 weeks of gestation. Sample size was 361 and non-probability convenient sampling technique was applied. Results: Mean NLR value was 3.16 (SD=1.84) and the difference between GDM and non GDM mothers was not significant. Left upper most value for NLR of the ROC curve is 1.32 and when it is used as the cut off value the sensitivity is 99.6% and the specificity is 21.2%. Conclusions and recommendations: NLR positively correlates with the OGTT values done at 24-28 weeks of gestation, which can be used as a predictor at early booking visit. There is no significant difference between the mean value of participants with or without GDM. Prediction of GDM by NLR should be further studied in a well-targeted study population with wide methodology.
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