Predictive value of serum inflammatory markers for histological chorioamnionitis among women with preterm premature rupture of membranes after undergoing cervical cerclage
Clinics
; Clinics;78: 100292, 2023. tab, graf
Article
in En
|
LILACS-Express
| LILACS
| ID: biblio-1528411
Responsible library:
BR1.1
ABSTRACT
ABSTRACT Purpose:
To determine the predictive value of maternal White Blood Cells (WBC), neutrophils, and C-Reactive Protein (CRP) for diagnosing Histological Chorioamnionitis (HCA) among women with Preterm Premature Rupture of Membranes (PPROM) who underwent cervical cerclage.Methods:
A retrospective cross-sectional study was conducted among women with singleton pregnancy and PPROM, who underwent cervical cerclage during 2018-2020.Results:
A total of 55 eligible women were included in the final analysis, including 36 (61.02%) cases with HCA and 19 (38.98%) without HCA. Women with HCA had higher WBC count (12.31 ± 2.80) × 109/L and neutrophil count (9.67 ± 2.90)×109/L than those without HCA (10.35 ± 2.53) × 109/L and 7.82 ± 2.82 × 109/L, respectively) (both p < 0.05). The cut-off value of WBC count at 10.15×109/L was found to be the most effective in identifying HCA, with an Area Under Curve (AUC) of 0.707 (95% CI 0.56-0.86; p = 0.012), sensitivity of 86.11%, specificity of 57.90%, Positive Predictive Value (PPV) of 79.49%, Negative Predictive Value (NPV) of 68.75%, and Youden index of 0.44. The combination of WBC + neutrophil had a slightly higher (AUC = 0.711, 95% CI 0.57-0.86; p = 0.011), specificity (68.42%), and PPV (81.25%), but lower sensitivity (72.22%), than the WBC count alone. A cut-off value of neutrophil at 7.46 × 109/L was effective in identifying HCA, with an AUC of 0.689 (95% CI 0.53-0.84; p = 0.022).Discussion:
Combination use of WBC+neutrophil was found to be the most accurate predictor of HCA among women with PPROM after surgery of cervical cerclage.
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Index:
LILACS
Type of study:
Observational_studies
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Prognostic_studies
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Risk_factors_studies
Language:
En
Journal:
Clinics
Journal subject:
MEDICINA
Year:
2023
Type:
Article
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Project document