American Journal of Reproductive Immunology · 2022 · 17 citations · 29 references
MedicineMaternal HealthObstetricsHigh-risk PregnancyMaternal-fetal MedicinePreterm BirthAmniotic Fluid AssessmentGestational Age AssessmentPrediction Of Preterm BirthPregnancyBiochemical Marker PredictionCalibration CurvesHistologic ChorioamnionitisLogistic RegressionLogistic Regression AnalysisModel Calibration CurvesNomogram AccuracyPredictive Biomarkers
PROBLEM: This study aimed to evaluate and compare the predictive accuracy of serum markers for histological chorioamnionitis (HCA) among women with preterm prelabour rupture of membranes (PPROM), and to develop a nomogram prediction model to minimize the damage of the disease. METHOD OF STUDY: weeks. The subjects were assigned into two groups: PPROM with and without HCA. According to the results of logistic regression analysis, the predictive equation and nomogram were generated using key parameters, and the discrimination and consistency of the model were evaluated by receiver operating characteristic (ROC) curves and calibration curves. RESULTS: From 153 subjects with PPROM, 77 developed HCA. Compared with the PPROM without HCA group, the CRP, PCT and NLR were significantly higher in HCA group (P < 0.001), and the CRP had the highest predictive value. The area under the curve (AUC) of the prediction model was 0.873, and the sensitivity and specificity of predicting HCA were 68.8% and 92.1%, respectively. And the calibration curves fitted well with the realistic situation. CONCLUSION: Maternal serum CRP and NLR could be used as predictive biomarkers for HCA in women with PPROM, while PCT needs to be further explored due to its slightly lower predictive value. Our serum markers and gestational age at PPROM could be used as a non-invasive and convenient method to predict HCA in women with PPROM.
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Daniel B. DiGiulio, Roberto Romero, Juan Pedro Kusanovic et al. · American Journal of Reproductive Immunology · 2010 · 457 citations
Medicine, Microbiology, Obstetrics +16
Obstetrics and Gynecology · 2013 · 166 citations