Application of a Prediction Model Based on the Laboratory Index Score in Prelabor Rupture of Membranes with Histologic Chorioamnionitis During Late Pregnancy
Yan Ma, Yun Xu, Lijuan Jiang, Xiaonan Shao
Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China (mainland)
Med Sci Monit 2020; 26:e924756
Available online: 2020-08-12
This study aimed to establish a prediction model based on the maternal laboratory index score (Lab-score) for histologic chorioamnionitis (HCA) in patients with prelabor rupture of membranes (PROM) during late pregnancy.
MATERIAL AND METHODS: Sixty-nine cases of pregnant women with PROM were retrospectively analyzed. The general information and laboratory indicators were compared between the HCA (n=22) and non-HCA (n=47) groups. A multivariate logistic regression method was used to establish the prediction model. We plotted the receiver operating characteristic curve and calculated the area under the curve (AUC). The clinical effectiveness of each model was compared by decision curve analysis.
RESULTS: Only C-reactive protein (CRP) in the laboratory index predicted HCA, but its diagnostic efficacy was not ideal (AUC=0.651). Then, we added CRP to the platelet/white blood cell count ratio and triglyceride level to construct the Lab-score. Based on the Lab-score, important clinical parameters, including body mass index, diastolic blood pressure, and preterm birth, were introduced to construct a complex joint prediction model. The AUC of this model was significantly larger than that of CRP (0.828 vs. 0.651, P=0.035), but not significantly different from that of Lab-score (0.828 vs. 0.724, P=0.120). Considering the purpose of HCA screening, the net benefit of the complex model was better than that of Lab-score and CRP.
CONCLUSIONS: The complex model based on Lab-score is useful in the clinical screening of high-risk populations with PROM and HCA during late pregnancy.
Keywords: C-Reactive Protein, Chorioamnionitis, Pregnancy