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1.
Arch Gynecol Obstet ; 296(3): 445-453, 2017 09.
Artigo em Inglês | MEDLINE | ID: mdl-28631075

RESUMO

OBJECTIVES: To explore the predictive power of measuring the abdominal fetal fat layer (FFL) as a soft tissue marker at 31, 34, and 37 weeks' gestation to improve the detection of fetal macrosomia in pregnant women with GDM, in addition to the biometric values with close monitoring of maternal blood sugar level and BMI changes. METHODS: We conducted a prospective observational study at the Department of Obstetrics, University Hospitals, Campus Kiel, Germany, in collaboration with diabetic clinic staff. Participants underwent a third-trimester scan and extra FFL measurements were performed at 31, 34, and 37 weeks of gestation. The clinical outcomes of pregnancy and birth weight were collected from the obstetric record. All of the enrolled women had an early pregnancy ultrasound scan to confirm gestational age. RESULTS: The FFL at 34 and 37 weeks, with respective cutoff values of >0.48 cm and >0.59 cm, showed a very good sensitivity of 60% for both gestational points, and specificity of 89.3 and 90.6%, respectively. The probability of fetal macrosomia could be more than doubled if the FFL at 34 weeks was more than 0.48 cm. However, the probability of macrosomia dropped to 16% if the FFL was ≤0.48 cm. The median FFLs of macrosomic fetuses at 34 and 37 weeks were 0.50 (IQR 0.10) and 0.60 (IQR 0.25) cm, respectively. The mean age of the study population (n = 80) was 32.26 (SD = 5.06) years. In our study population, ten newborns were born with birth weight >4000 g. The body mass index (BMI) for the mothers of later-onset macrosomic newborns showed higher median values of 30 (IQR 8), 32 (IQR 5), and 33 (IQR 9) at 31, 34, and 37 weeks, respectively, in comparison to mothers of non-macrosomic newborn. However, the BMI did not show any statistically significant difference from those with normal-weight newborn and did not show any specific sensitivity for predicting macrosomia. CONCLUSION: Measuring the FFL at 34 and 37 weeks of gestation, in addition to the standard measurement, might be useful for predicting macrosomia and is worth further evaluation.


Assuntos
Peso ao Nascer , Diabetes Gestacional , Macrossomia Fetal/diagnóstico por imagem , Adulto , Glicemia , Índice de Massa Corporal , Feminino , Alemanha , Idade Gestacional , Humanos , Recém-Nascido , Gravidez , Resultado da Gravidez , Terceiro Trimestre da Gravidez , Estudos Prospectivos , Ultrassonografia Pré-Natal
2.
Tumour Biol ; 37(3): 3173-83, 2016 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-26427667

RESUMO

Fibroblast growth factor 18 (FGF18) has been suggested to play important roles in promoting progression of ovarian high-grade serous carcinoma. Our aim was to investigate FGF18 expression in the whole spectrum of serous and mucinous ovarian tumors, highlighting differences in expression within the adenoma-carcinoma sequence and differences between type I and type II tumors. We also aimed to test the prognostic significance of this expression and its relation to microvessel density (MVD). We evaluated the immunohistochemical expression of FGF18 and CD31 in 103 ovarian tumors and statistically analyzed their association with clinicopathological variables and patients' outcome. FGF18 score increased significantly within the adenoma-carcinoma sequence for serous and mucinous tumors. MVD increased significantly only among serous tumors. FGF18 and MVD correlated significantly (overall and among serous tumors only) and were significantly higher in type II than type I tumors. Cox regression models were built. Independent predictors could not be determined due to multicollinearity between the predictors. However, the combination of International Federation of Gynecology and Obstetrics (FIGO) stage, ovarian carcinoma type, and/or FGF18 score achieved the highest predictability of poor prognosis. FGF18 could play a role within the adenoma-carcinoma sequence in type I tumors and might modulate angiogenesis among serous tumors. Our findings further augment the differences between type I and type II tumors. The combination of FIGO stage, ovarian carcinoma type, and/or FGF18 score could predict poor prognosis among ovarian carcinoma patients. Our work identifies FGF18 in ovarian neoplasia as a promising field of research, although evaluation of the performance of the developed models is still needed.


Assuntos
Adenocarcinoma Mucinoso/metabolismo , Biomarcadores Tumorais/biossíntese , Cistadenocarcinoma Seroso/metabolismo , Fatores de Crescimento de Fibroblastos/biossíntese , Neoplasias Ovarianas/metabolismo , Adenocarcinoma Mucinoso/irrigação sanguínea , Adenocarcinoma Mucinoso/patologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Cistadenocarcinoma Seroso/irrigação sanguínea , Cistadenocarcinoma Seroso/patologia , Feminino , Humanos , Imuno-Histoquímica , Estimativa de Kaplan-Meier , Pessoa de Meia-Idade , Análise Multivariada , Estadiamento de Neoplasias , Neovascularização Patológica/metabolismo , Neovascularização Patológica/patologia , Neoplasias Ovarianas/irrigação sanguínea , Neoplasias Ovarianas/patologia , Molécula-1 de Adesão Celular Endotelial a Plaquetas/análise , Prognóstico , Modelos de Riscos Proporcionais , Adulto Jovem
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