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1.
J Perinatol ; 38(2): 122-126, 2018 02.
Artigo em Inglês | MEDLINE | ID: mdl-29266095

RESUMO

OBJECTIVE: To determine the accuracy of commonly utilized ultrasound formulas for estimating birth weight (BW) in fetuses with gastroschisis. STUDY DESIGN: A retrospective review was conducted of all inborn pregnancies with gastroschisis within the five institutions of the University of California Fetal Consortium (UCfC) between 2007 and 2012. Infants delivered at ⩾28 weeks who had an ultrasound within 21 days before delivery were included. Prediction of BW was evaluated for each of the five ultrasound formulas: Hadlock 1 (abdominal circumference (AC), biparietal diameter (BPD), femur length (FL) and head circumference (HC)) and Hadlock 2 (AC, BPD and FL), Shepard (AC and BPD), Honarvar (FL) and Siemer (BPD, occipitofrontal diameter (OFD), and FL) using Pearson's correlation, mean difference and percent error and Bland-Altman analysis. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the ultrasound diagnosis of intrauterine growth restriction (IUGR) were assessed. RESULTS: We identified 191 neonates born with gastroschisis within the UCfC, with 111 neonates meeting the inclusion criteria. The mean gestational age at delivery was 36.3±1.7 weeks and the mean BW was 2448±460 g. Hadlock (1) formula was found to have the best correlation (r=0.81), the lowest mean difference (8±306 g) and the lowest mean percent error (1.4±13%). The Honarvar and Siemer formulas performed significantly worse when compared with Hadlock 1, with a 13.7% (P<0.001) and 3.9% (P=0.03) difference, respectively, between estimated and actual BW. This was supported by Bland-Altman plots. For Hadlock 1 and 2, sensitivity was 80% with a NPV of 91%. CONCLUSION: The widely used Hadlock (1) and (2) formulas provided the best estimated BW in infants with gastroschisis despite its inclusion of abdominal circumference. Furthermore, this formula performs well with diagnosis of IUGR.


Assuntos
Peso ao Nascer , Retardo do Crescimento Fetal/diagnóstico por imagem , Peso Fetal , Gastrosquise/diagnóstico por imagem , Ultrassonografia Pré-Natal , Adolescente , Adulto , Biometria , Feminino , Idade Gestacional , Humanos , Recém-Nascido , Gravidez , Reprodutibilidade dos Testes , Estudos Retrospectivos , Adulto Jovem
2.
Am J Perinatol ; 35(7): 660-668, 2018 06.
Artigo em Inglês | MEDLINE | ID: mdl-29212131

RESUMO

OBJECTIVE: We sought to develop a model to calculate the likelihood of vaginal delivery in nulliparous women undergoing induction at term. STUDY DESIGN: We obtained data from the Consortium on Safe Labor by including nulliparous women with term singleton pregnancies undergoing induction of labor at term. Women with contraindications for vaginal delivery were excluded. A stepwise logistic regression analysis was used to identify the predictors associated with vaginal delivery by considering maternal characteristics and comorbidities and fetal conditions. The receiver operating characteristic curve, with an area under the curve (AUC) was used to assess the accuracy of the model. RESULTS: Of 10,591 nulliparous women who underwent induction of labor, 8,202 (77.4%) women had vaginal delivery. Our model identified maternal age, gestational age at delivery, race, maternal height, prepregnancy weight, gestational weight gain, cervical exam on admission (dilation, effacement, and station), chronic hypertension, gestational diabetes, pregestational diabetes, and abruption as significant predictors for successful vaginal delivery. The overall predictive ability of the final model, as measured by the AUC was 0.759 (95% confidence interval, 0.749-0.770). CONCLUSION: We identified independent risk factors that can be used to predict vaginal delivery among nulliparas undergoing induction at term. Our predictor provides women with additional information when considering induction.


Assuntos
Cesárea/estatística & dados numéricos , Trabalho de Parto Induzido/estatística & dados numéricos , Paridade , Adulto , Feminino , Humanos , Trabalho de Parto Induzido/efeitos adversos , Modelos Logísticos , Nomogramas , Gravidez , Curva ROC , Estudos Retrospectivos , Fatores de Risco , Nascimento a Termo , Falha de Tratamento , Estados Unidos , Adulto Jovem
3.
J Perinatol ; 36(2): 86-9, 2016 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-26540247

RESUMO

OBJECTIVE: To determine the effect of inadequate gestational weight gain (GWG) on neonatal birth weight in diabetic obese women. STUDY DESIGN: Retrospective cohort study of women with an initial body mass index (BMI) ⩾30 kg m(-2) and gestational or type 2 diabetes was conducted. GWG was stratified: inadequate (<11 lbs), adequate (11 to 20 lbs) or excessive (>20 lbs). The primary outcome was birth weight. Secondary outcomes included hypertensive disorders, gestational age at delivery, mode of delivery and Apgar scores. RESULT: A total of 211 obese diabetic women were identified. Of those, 37% had inadequate GWG, 25% had adequate GWG and 38% had excessive GWG. Women with inadequate GWG had lower mean birth weights (P=0.048), as well as lower rates of cesarean delivery (P=0.017) and lower rates of pregnancy-related hypertensive disorders (P=0.026) compared with those with adequate and excessive GWG. CONCLUSION: Inadequate GWG was associated lower mean birth weights, lower rates of cesarean delivery and lower rates of pregnancy-related hypertensive disorders.


Assuntos
Cesárea/estatística & dados numéricos , Diabetes Mellitus Tipo 2 , Hipertensão Induzida pela Gravidez , Recém-Nascido de Baixo Peso , Obesidade , Complicações na Gravidez/diagnóstico , Aumento de Peso , Adulto , Índice de Massa Corporal , California/epidemiologia , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/epidemiologia , Feminino , Humanos , Hipertensão Induzida pela Gravidez/epidemiologia , Hipertensão Induzida pela Gravidez/etiologia , Recém-Nascido , Obesidade/complicações , Obesidade/diagnóstico , Obesidade/epidemiologia , Gravidez , Resultado da Gravidez/epidemiologia , Estudos Retrospectivos , Medição de Risco , Fatores de Risco , Estatística como Assunto
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