Abide Yayla Cigdem, Ozkaya Enis, Tayyar Ahter, Senol Taylan, Senturk M Baki, Karateke Ates
a Department of Obstetrics and Gynaecology , Zeynep Kamil Women and Children's Health Training and Research Hospital , Istanbul , Turkey.
J Matern Fetal Neonatal Med. 2017 Oct;30(19):2324-2328. doi: 10.1080/14767058.2016.1247266. Epub 2016 Nov 2.
The aim of this study was to assess the relationship between some complete blood count parameters and placental invasion anomalies.
Totally 146 pregnancies who were suspected for placental invasion anomalies underwent complete blood count screening before cesarean section. In all subjects white blood cell, lymphocyte, neutrophil and platelet counts with red cell distribution width (RDW), mean platelet volume (MPV), hemoglobin and hematocrit levels were analyzed. All complete blood count parameters were analyzed to predict placental invasion anomalies.
Among 146 pregnancies histopathologically confirmed placental invasion anomaly was diagnosed in 46 cases. There were significant differences between groups with and without placental invasion anomaly in terms of age, neutrophil, platelet count, MPV, RDW and neutrophil to lymphocyte ratio (p < 0.05). Age (AUC = 0.719, p < 0.001), neutrophil to lymphocyte ratio (AUC = 0.639, p= 0.008) and MPV (AUC = 0.807, p < 0.001) were significant predictors for the cases with placental invasion anomaly. In multivariate analyzes age, MPV, RDW and neutrophil to lymphocyte ratio were significantly associated with the placental invasion anomaly.
In addition to the sonographic findings, simple blood count parameters may be utilized to confirm cases with suspected for placental invasion anomalies.
本研究旨在评估某些全血细胞计数参数与胎盘植入异常之间的关系。
共有146例疑似胎盘植入异常的孕妇在剖宫产术前进行了全血细胞计数筛查。对所有受试者的白细胞、淋巴细胞、中性粒细胞和血小板计数以及红细胞分布宽度(RDW)、平均血小板体积(MPV)、血红蛋白和血细胞比容水平进行了分析。对所有全血细胞计数参数进行分析以预测胎盘植入异常。
146例妊娠中,46例经组织病理学证实为胎盘植入异常。有胎盘植入异常组和无胎盘植入异常组在年龄、中性粒细胞、血小板计数、MPV、RDW和中性粒细胞与淋巴细胞比值方面存在显著差异(p < 0.05)。年龄(AUC = 0.719,p < 0.001)、中性粒细胞与淋巴细胞比值(AUC = 0.639,p = 0.008)和MPV(AUC = 0.807,p < 0.001)是胎盘植入异常病例的显著预测指标。在多变量分析中,年龄、MPV、RDW和中性粒细胞与淋巴细胞比值与胎盘植入异常显著相关。
除超声检查结果外,简单的血细胞计数参数可用于确诊疑似胎盘植入异常的病例。