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Dive into the research topics where Mariam Savabi is active.

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Featured researches published by Mariam Savabi.


Journal of Ultrasound in Medicine | 2018

The Hadlock Method Is Superior to Newer Methods for the Prediction of the Birth Weight Percentile

Nathan R. Blue; Mariam Savabi; Meghan E. Beddow; Vivek R. Katukuri; Cody M. Fritts; Luis A. Izquierdo; Conrad R. Chao

To compare a traditional ultrasound (US) method for estimated fetal weight (EFW) calculation and fetal growth restriction diagnosis with 2 newer methods for the prediction of small for gestational age (SGA) at birth.


American Journal of Obstetrics and Gynecology | 2018

Comparing the Hadlock fetal growth standard to the Eunice Kennedy Shriver National Institute of Child Health and Human Development racial/ethnic standard for the prediction of neonatal morbidity and small for gestational age

Nathan R. Blue; Meghan E. Beddow; Mariam Savabi; Vivek R. Katukuri; Conrad R. Chao

BACKGROUND: The fetal growth standard in widest use was published by Hadlock >25 years ago and was derived from a small, homogeneous cohort. In 2015, The Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Study published updated standards that are specific to race/ethnicity. These do not allow for precise estimated fetal weight percentile calculation, however, and their effectiveness to predict neonatal morbidity and small for gestational age has not yet been compared to the long‐standing Hadlock standard. OBJECTIVE: We compared the ability of the Hadlock standard to predict neonatal morbidity and small for gestational age at birth with that of The Eunice Kennedy Shriver National Institute of Child Health and Human Development race‐/ethnicity‐specific standard. Our secondary objective was to compare their performance among our Native American population, which is not accounted for in the Eunice Kennedy Shriver National Institute of Child Health and Human Development standard. STUDY DESIGN: For this retrospective study of diagnostic accuracy, we reviewed deliveries at the University of New Mexico Hospital from Jan. 1, 2013, through March 31, 2017. We included mothers with singleton, well‐dated pregnancies and nonanomalous fetuses with an estimated fetal weight within 30 days of delivery. Cubic spline interpolation was performed on the Eunice Kennedy Shriver National Institute of Child Health and Human Development estimated fetal weight‐percentile tables to calculate percentiles specific to the gestational day. Estimated fetal weight percentiles were then calculated using both the Hadlock and Eunice Kennedy Shriver National Institute of Child Health and Human Development race‐/ethnicity‐specific standards according to maternal self‐identified race/ethnicity. We calculated the receiver operator area under the curve of each method to predict composite and severe composite neonatal morbidity and small for gestational age at birth (birthweight <10th percentile). As an additional measure of method accuracy, we calculated the mean ultrasound–birthweight percentile discrepancy. For Native Americans, percentiles were calculated using the Hadlock and Eunice Kennedy Shriver National Institute of Child Health and Human Development race/ethnicity standards (white, black, Hispanic, Asian), and test characteristics were calculated for each to predict neonatal morbidity and small for gestational age. RESULTS: We included 1514 women, with a mean ultrasonography‐to‐delivery interval of 14.4 days (±8.8) and a small for gestational age rate of 13.6% (n = 206). For the prediction of both composite and severe composite neonatal morbidity, the Hadlock method had superior performance, with higher areas under the curve than the Eunice Kennedy Shriver National Institute of Child Health and Human Development method (P < .001 for both), though neither had good discriminatory value (all areas under the curve <0.8). For the prediction of small for gestational age at birth, the Hadlock standard had higher sensitivity (61.1%) than the Eunice Kennedy Shriver National Institute of Child Health and Human Development standard, both when using the interpolated Eunice Kennedy Shriver National Institute of Child Health and Human Development method (36.2%, P < .01) and the Eunice Kennedy Shriver National Institute of Child Health and Human Development whole‐week 10th percentile cutoff (46.7%, P < .01). The Hadlock method also had a higher area under the curve than the Eunice Kennedy Shriver National Institute of Child Health and Human Development interpolated method to predict small for gestational age (0.89 vs 0.88, P < .01). The Hadlock method had a lower ultrasound–birthweight percentile discrepancy than the Eunice Kennedy Shriver National Institute of Child Health and Human Development method (6.1 vs 16.5 percentile points, P < .01). Fetuses classified as growth restricted by Hadlock but not Eunice Kennedy Shriver National Institute of Child Health and Human Development had significantly higher composite morbidity than normally grown fetuses. Among Native American women, the Hadlock method had the highest area under the curve to predict composite and severe composite morbidity, while the Hadlock and all Eunice Kennedy Shriver National Institute of Child Health and Human Development race‐/ethnicity‐specific methods performed comparably to predict small for gestational age. CONCLUSION: Despite its publication >25 years ago, the Hadlock standard is superior to the Eunice Kennedy Shriver National Institute of Child Health and Human Development race‐/ethnicity‐specific standard for the prediction of both neonatal morbidity and small for gestational age.


Obstetrics & Gynecology | 2018

A Comparison of Methods for the Diagnosis of Fetal Growth Restriction Between the Royal College of Obstetricians and Gynaecologists and the American College of Obstetricians and Gynecologists

Nathan R. Blue; Meghan E. Beddow; Mariam Savabi; Vivek R. Katukuri; Ellen Mozurkewich; Conrad R. Chao


Obstetrics & Gynecology | 2018

Does an Upward Trend in Fetal Weight Predict Large-for-Gestational Age in Pregnancies Complicated by Diabetes? [30P]

Meghan E. Beddow; Nathan R. Blue; Mariam Savabi; Vivek R. Katukuri; Conrad R. Chao


Obstetrics & Gynecology | 2018

Ultrasound Prediction of Small-for-Gestational Age at Birth: The More, the Merrier? [39Q]

Meghan E. Beddow; Nathan R. Blue; Mariam Savabi; Vivek R. Katukuri; Cody M. Fritts; Conrad R. Chao


American Journal of Obstetrics and Gynecology | 2018

517: Does timing of ultrasound improve the predictive value of a small for gestational age infant?

José M. Pérez Yordan; Nathan R. Blue; Meghan E. Beddow; Mariam Savabi; Cody M. Fritts; Luis Izquierdo; Conrad R. Chao


American Journal of Obstetrics and Gynecology | 2018

512: Are appropriately sized fetuses who “fall off the curve” at increased risk for small-for-gestational age at birth?

Nathan R. Blue; Mariam Savabi; Meghan E. Beddow; Vivek R. Katukuri; Cody M. Fritts; Luis Izquierdo; Conrad R. Chao


American Journal of Obstetrics and Gynecology | 2018

513: Should we care about fetal growth percentiles at 18-22 weeks?

Nathan R. Blue; Meghan E. Beddow; Mariam Savabi; Vivek R. Katukuri; Cody M. Fritts; Luis Izquierdo; Conrad R. Chao


American Journal of Obstetrics and Gynecology | 2018

447: Tried-and-true versus up-and-coming: Which intrauterine growth curve best predicts small-for-gestational age at birth?

Mariam Savabi; Nathan R. Blue; Meghan E. Beddow; Vivek R. Katukuri; Cody M. Fritts; Luis Izquierdo; Conrad R. Chao


American Journal of Obstetrics and Gynecology | 2018

446: Fetal growth surveillance in at-risk pregnancies: How soon is too soon?

Nathan R. Blue; Mariam Savabi; Meghan E. Beddow; Vivek K. Katukuri; Cody M. Fritts; Luis Izquierdo; Conrad R. Chao

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Conrad R. Chao

University of California

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Nathan R. Blue

University of Southern California

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Cody M. Fritts

University of New Mexico

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Luis Izquierdo

University of California

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