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J Perinat Med ; 52(7): 744-750, 2024 Sep 25.
Artigo em Inglês | MEDLINE | ID: mdl-38887817

RESUMO

OBJECTIVES: To examine the fetal thymic-thoracic ratio (TTR) in intrahepatic cholestasis of pregnancy (ICP). METHODS: This prospective case-control study was conducted in a single tertiary center. The sample consisted of 86 pregnant women at 28-37 weeks of gestation, including 43 women with ICP and 43 healthy controls. TTR was calculated for each patient using the anterior-posterior measurements of the thymus and intrathoracic mediastinal measurements. RESULTS: The median TTR value was found to be smaller in the ICP group compared to the control group (0.32 vs. 0.36, p<0.001). The ICP group had a greater rate of admission to the neonatal intensive care unit (NICU) (p<0.001). Univariate regression analysis revealed that lower TTR values increased the possibility of NICU admission six times (95 % confidence interval: 0.26-0.39, p=0.01). A statistically significant negative correlation was detected between TTR and the NICU requirement (r: -0.435, p=0.004). As a result of the receiver operating characteristic analysis, in predicting NICU admission, the optimal cut-off value of TTR was determined to be 0.31 with 78 % sensitivity and 67 % specificity (area under the curve=0.819; p<0.001). CONCLUSIONS: We determined that the fetal TTR may be affected by the inflammatory process caused by the maternal-fetal immune system and increased serum bile acid levels in fetal organs in the presence of ICP. We consider that TTR can be used to predict adverse pregnancy outcomes in patients with ICP.


Assuntos
Colestase Intra-Hepática , Complicações na Gravidez , Timo , Humanos , Feminino , Gravidez , Colestase Intra-Hepática/sangue , Colestase Intra-Hepática/diagnóstico , Estudos de Casos e Controles , Complicações na Gravidez/diagnóstico , Complicações na Gravidez/sangue , Adulto , Estudos Prospectivos , Timo/diagnóstico por imagem , Ultrassonografia Pré-Natal/métodos , Tórax/diagnóstico por imagem , Unidades de Terapia Intensiva Neonatal/estatística & dados numéricos
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