Predictive Value of the Peripheral Blood Parameters for Preeclampsia

Autor: Dan, Liao, Lijiao, Chen, Qimou, Li, Guanxiong, Liu, Wan, Wang, Jinmi, Li, Shaoli, Deng
Rok vydání: 2022
Předmět:
Zdroj: Clinical Laboratory. 68
ISSN: 1433-6510
DOI: 10.7754/clin.lab.2021.210726
Popis: Excessive systemic inflammation plays a vital role in pathophysiology of preeclampsia (PE). The aim is to clarify the predictive value of the peripheral blood parameters including white blood cell (WBC), neutrophils, lymphocyte, monocyte, platelet count, mean platelet volume (MPV), plateletcrit, platelet distribution width (PDW), platelet-large cell ratio (PLCR), and the ratio value for PE.This retrospective study enrolled 170 PE patients, 123 healthy control pregnant women, and 122 non-pregnant women. When pregnant women were admitted to the hospital for delivery, peripheral complete blood cell count was detected by an automatic blood cell analyzer. Clinical signs and demographic characteristics were recorded. The receiver operating characteristic (ROC) curve was used to determine the cutoff value and analyze the predictive significances for PE. Furthermore, the risk factors of PE were tested by univariate and stratified analyses.This study showed that WBC, neutrophil count, neutrophil percentage, NLR, NMR, and PLR# were significantly increased in PE patients as compared with pregnant control patients (p0.001), whereas lymphocyte percentage, monocyte percentage, and PNR were decreased. In addition, there was no significant difference in the rest of the peripheral blood parameters between women with and without PE. The ROC curve result revealed that WBC and neutrophil count had a higher AUC value than the rest of peripheral blood variables. WBC and neutrophil count are positively correlated MAP. Moreover, the WBC and neutrophil count were indicated as independent risk factors for the development of PE.This study clarifies that peripheral blood parameters of WBC and neutrophil count have good applied value with high sensitivity and specificity in predicting the development of PE and are also independent risk factors for the development of PE.
Databáze: OpenAIRE