OBJECTIVE: To estimate the association between uterine artery Doppler indices and stillbirth in routinely screened populations. METHODS: Second-trimester uterine artery Doppler indices at 19 to 23 weeks of gestation were obtained from a large cohort of women. Pregnancy losses recorded on a mandatory national register were cross-linked to the Doppler database. Kaplan-Meier curves were constructed for the risk of stillbirth based on the uterine artery Doppler resistance indices. Logistic regression analysis was used to assess the influence of uterine artery Doppler indices and other more conventional risk factors on the likelihood of stillbirth. RESULTS: Data were available from 15,835 women with 144 stillbirths (9.1 stillbirths per 1,000 births). Kaplan-Meier analysis showed that the risk of stillbirth (39.41 per 1000) in women with uterine artery Doppler indices greater than the 90th percentile was sevenfold higher (95% confidence interval 4.81-9.57) than the reference population (5.36 per 1000) with Doppler indices less than or equal to the 90th percentile. The positive predictive and negative predictive values for the 90th percentile uterine artery Doppler cutoff were 3.79% and 99.46%, respectively [corrected] The sensitivities of the 90th, 95, and 99th percentile uterine artery Doppler resistance index cut-offs for the sensitivity of stillbirth were 46.2%, 35.4%, and 15.4%, respectively. Conventional risk factors for term stillbirth such as ethnicity, body mass index (BMI), and smoking no longer contributed to stillbirth risk when uterine artery Doppler indices were included in multivariable logistic regression analysis. CONCLUSION: Elevated second-trimester Doppler indices, a proxy for impaired placentation, are more strongly associated with stillbirth than conventional risk factors. Risk factors such as ethnicity, maternal age, BMI, and smoking contribute to risk of term stillbirth through uteroplacental dysfunction. LEVEL OF EVIDENCE: II.
OBJECTIVE: To estimate the association between uterine artery Doppler indices and stillbirth in routinely screened populations. METHODS: Second-trimester uterine artery Doppler indices at 19 to 23 weeks of gestation were obtained from a large cohort of women. Pregnancy losses recorded on a mandatory national register were cross-linked to the Doppler database. Kaplan-Meier curves were constructed for the risk of stillbirth based on the uterine artery Doppler resistance indices. Logistic regression analysis was used to assess the influence of uterine artery Doppler indices and other more conventional risk factors on the likelihood of stillbirth. RESULTS: Data were available from 15,835 women with 144 stillbirths (9.1 stillbirths per 1,000 births). Kaplan-Meier analysis showed that the risk of stillbirth (39.41 per 1000) in women with uterine artery Doppler indices greater than the 90th percentile was sevenfold higher (95% confidence interval 4.81-9.57) than the reference population (5.36 per 1000) with Doppler indices less than or equal to the 90th percentile. The positive predictive and negative predictive values for the 90th percentile uterine artery Doppler cutoff were 3.79% and 99.46%, respectively [corrected] The sensitivities of the 90th, 95, and 99th percentile uterine artery Doppler resistance index cut-offs for the sensitivity of stillbirth were 46.2%, 35.4%, and 15.4%, respectively. Conventional risk factors for term stillbirth such as ethnicity, body mass index (BMI), and smoking no longer contributed to stillbirth risk when uterine artery Doppler indices were included in multivariable logistic regression analysis. CONCLUSION: Elevated second-trimester Doppler indices, a proxy for impaired placentation, are more strongly associated with stillbirth than conventional risk factors. Risk factors such as ethnicity, maternal age, BMI, and smoking contribute to risk of term stillbirth through uteroplacental dysfunction. LEVEL OF EVIDENCE: II.
Authors: Lindsay D Levine; Tiffany L Holland; Keewan Kim; Lindsey A Sjaarda; Sunni L Mumford; Enrique F Schisterman Journal: Can J Physiol Pharmacol Date: 2018-12-18 Impact factor: 2.273
Authors: Tinnakorn Chaiworapongsa; Roberto Romero; Steven J Korzeniewski; Juan Pedro Kusanovic; Eleazar Soto; Jennifer Lam; Zhong Dong; Nandor G Than; Lami Yeo; Edgar Hernandez-Andrade; Agustín Conde-Agudelo; Sonia S Hassan Journal: Am J Obstet Gynecol Date: 2013-01-17 Impact factor: 8.661
Authors: Amanda S Trudell; Methodius G Tuuli; Graham A Colditz; George A Macones; Anthony O Odibo Journal: PLoS One Date: 2017-03-07 Impact factor: 3.240
Authors: Gbenga A Kayode; Diederick E Grobbee; Mary Amoakoh-Coleman; Ibrahim Taiwo Adeleke; Evelyn Ansah; Joris A H de Groot; Kerstin Klipstein-Grobusch Journal: BMC Pregnancy Childbirth Date: 2016-09-20 Impact factor: 3.007