Results 281 to 290 of about 576,135 (348)

Direct versus referred admission to the maternity hospital due to preeclampsia: Does it influence pregnancy outcomes?

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objectives This study describes maternal and perinatal outcomes of women with preeclampsia (PE) according to hospital admission characteristics: referral from lower complexity settings or directly admitted at the reference hospital. Methods This is a cross‐sectional study considering women with PE who were admitted for childbirth between ...
Juliana da‐Costa‐Santos, Guilherme F. Borges, Vitor L. V. Reis, Rodolfo R. Japecanga, Maykon A. Carvalho, Ana Julia G. Oliveira, Laura C. Vinchi, Arthur B. P. Righi, Jussara Mayrink, Fernanda G. Surita, José Paulo de Siqueira Guida, Renato T. Souza, José G. Cecatti, Maria Laura Costa   +13 more
wiley   +1 more source

Male involvement interventions influencing maternal reproductive health outcomes: a narrative synthesis using RE-AIM with implications for maternal mortality in Africa. [PDF]

Front Health Serv
Anikamadu O, Nwaozuru U, Obodoechina N, Olusanya O, Ojo T, Iwelunmor J.   +5 more
europepmc   +1 more source

Intrapartum oral azithromycin for maternal infection prophylaxis and the risk of postpartum hemorrhage: A secondary analysis of the A‐PLUS trial

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective A single oral dose of azithromycin (AZM) given during labor to women planning a vaginal delivery reduced maternal infections including sepsis, with a stronger effect in sub‐Saharan Africa than South Asia. Since maternal infection contributes to labor dysfunction and postpartum hemorrhage (PPH), we evaluated the effect of AZM on the ...
Larissa Sidze, Janet L. Moore, Waldemar A. Carlo, Musaku Mwenechanya, Elwyn Chomba, Jennifer J. Hemingway‐Foday, Avinash Kavi, Mrityunjay C. Metgud, Shivaprasad S. Goudar, Richard Derman, Adrien L. Lokangaka, Antoinette K. Tshefu, Melissa S. Bauserman, Carl L. Bose, Poonam Shivkumar, Manjushri Waikar, Archana B. Patel, Patricia L. Hibberd, Paul Nyongesa, Fabian Esamai, Osayame A. Ekhaguere, Sherri L. Bucher, Saleem Jessani, Shiyam Sunder Tikmani, Sarah Saleem, Robert L. Goldenberg, Sk Masum Billah, Ruth Lennox, Rashidul Haque, William A. Petri, Lester Figueroa, Manolo Mazariegos, Nancy F. Krebs, Tracy L. Nolen, Marion Koso‐Thomas, Elizabeth M. McClure, Alan T. N. Tita, for the A‐PLUS Trial Group   +37 more
wiley   +1 more source

Racial Disparities in Maternal Mortality Before, During, and After the COVID-19 Pandemic in the United States: A Difference-in-Difference Analysis. [PDF]

Cureus
Kamijo K, Hayasaka M, Kawakita T.
europepmc   +1 more source

Emerging applications of artificial intelligence for obstetric ultrasound: A scoping review

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background The WHO recommends that all pregnant women receive an ultrasound (US) scan prior to 24 weeks gestation to encourage early identification of various conditions, such as fetal anomalies, multiple gestation, and placental abnormalities; however, global access to US remains limited.
Vani Gupta, Nicole Santos, Sara Della Ripa, Dilys Walker   +3 more
wiley   +1 more source

Perinatal Epidemiology When Data Are Imperfect: Lessons From Studies on Maternal Mortality. [PDF]

Paediatr Perinat Epidemiol
Zeitlin J.
europepmc   +1 more source

Health system financing fragmentation and maternal mortality transition in Mexico, 2000-2022. [PDF]

Int J Equity Health
Serván-Mori E, Pineda-Antúnez C, Cerecero-García D, Flamand L, Mohar-Betancourt A, Millett C, Hone T, Moreno-Serra R, Gómez-Dantés O.   +8 more
europepmc   +1 more source

The effect of the Covid-19 pandemic on the maternal mortality rate and the achievement of the Sustainable Development Goal in Brazil. [PDF]

BMC Public Health
Siqueira GL, de Oliveira Fontes GR, da Silva AG, Gomes CRG, Ferreira FM, de Siqueira Guida JP, Martins EF, Ciaravolo LCF, Gabrielloni MC, Brito MCDS, Matozinhos FP, da Silva TPR.   +11 more
europepmc   +1 more source

DEEP LEARNING MODEL FOR OPTIMIZING RISK OF MATERNAL MORTALITY RATE ON EARLY PREGNANCY IN NIGERIA

Muhammad Muhammad Suleiman, Osang Frank, Adekunle Job Adesegun, Muhammad Bello Aliyu   +3 more
openalex   +1 more source