Obstetrics and Gynecology Commons^™

Can The Date Of Last Menstrual Period Be Trusted In The First Trimester? Comparisons Of Gestational Age Measures From A Prospective Cohort Study In Six Low-Income To Middle-Income Countries, Archana Patel, Carla M. Bann, Vanessa R. Thorsten, Sowmya R. Rao, Adrien Lokangaka, Antoinette Tshefu Kitoto, Melissa Bauserman, Lester Figueroa, Nancy F. Krebs, Fabian Esamai, Sherri Bucher, Sarah Saleem, Robert L. Goldenberg, Elwyn Chomba, Waldemar A. Carlo, Shivaprasad Goudar, Richard Derman, Marion Koso-Thomas, Elizabeth Mcclure, Patricia L. Hibberd

Global Health Articles

OBJECTIVES: We examined gestational age (GA) estimates for live and still births, and prematurity rates based on last menstrual period (LMP) compared with ultrasonography (USG) among pregnant women at seven sites in six low-resource countries.

DESIGN: Prospective cohort study SETTING AND PARTICIPANTS: This study included data from the Global Network's population-based Maternal and Newborn Health Registry which follows pregnant women in six low-income and middle-income countries (Democratic Republic of the Congo, Guatemala, India, Kenya, Pakistan and Zambia). Participants in this analysis were 42 803 women, including their 43 230 babies, who registered for the study in their first trimester based …

Building A Predictive Model Of Low Birth Weight In Low- And Middle-Income Countries: A Prospective Cohort Study, Jackie K. Patterson, Vanessa R Thorsten, Barry Eggleston, Tracy Nolen, Adrien Lokangaka, Antoinette Tshefu, Shivaprasad S. Goudar, Richard J. Derman, Elwyn Chomba, Waldemar A. Carlo, Manolo Mazariegos, Nancy F. Krebs, Sarah Saleem, Robert L. Goldenberg, Archana Patel, Patricia L. Hibberd, Fabian Esamai, Edward A. Liechty, Rashidul Haque, Bill Petri, Marion Koso-Thomas, Elizabeth M. Mcclure, Carl L. Bose, Melissa Bauserman

Global Health Articles

BACKGROUND: Low birth weight (LBW, < 2500 g) infants are at significant risk for death and disability. Improving outcomes for LBW infants requires access to advanced neonatal care, which is a limited resource in low- and middle-income countries (LMICs). Predictive modeling might be useful in LMICs to identify mothers at high-risk of delivering a LBW infant to facilitate referral to centers capable of treating these infants.

METHODS: We developed predictive models for LBW using the NICHD Global Network for Women's and Children's Health Research Maternal and Newborn Health Registry. This registry enrolled pregnant women from research sites in the Democratic Republic of the Congo, Zambia, Kenya, Guatemala, India (2 sites: Belagavi, Nagpur), Pakistan, and Bangladesh between January 2017 - December 2020. We tested five predictive models: decision tree, random forest, logistic regression, K-nearest neighbor and support vector machine.

RESULTS: We report a rate of LBW of 13.8% among the eight Global Network sites from 2017-2020, with a range of 3.8% (Kenya) …

A Prospective Study Of Maternal, Fetal And Neonatal Outcomes In The Setting Of Cesarean Section In Low- And Middle-Income Countries., Margo S. Harrison, Omrana Pasha, Sarah Saleem, Sumera Ali, Elwyn Chomba, Waldemar A. Carlo, Ana L. Garces, Nancy F. Krebs, K. Michael Hambidge, Shivaprasad S. Goudar, Bhala Kodkany, Sangappa Dhaded, Richard J. Derman, Archana Patel, Patricia L. Hibberd, Fabian Esamai, Edward A. Liechty, Janet L. Moore, Dennis Wallace, Elizabeth M. Mcclure, Menachem Miodovnik, Marion Koso-Thomas, Jose Belizan, Antoinette K. Tshefu, Melissa Bauserman, Robert L. Goldenberg

Global Health Articles

INTRODUCTION: Cesarean section (CS) rates are increasing globally with an unclear effect on pregnancy outcomes. The study objective was to quantify maternal and perinatal morbidity and mortality associated with CS compared with vaginal delivery (VD) both within and across sites in low- and middle-income countries.

MATERIAL AND METHODS: A prospective population-based study including home and facility births in 337 153 women with a VD and 47 308 women with a CS from 2010 to 2015 was performed in Guatemala, India, Kenya, Pakistan, Zambia and Democratic Republic of Congo. Women were enrolled during pregnancy; delivery and 6-week follow-up data were collected. …