Results 101 to 110 of about 522,906 (331)

Management of diabetes from preconception to the postnatal period: summary of NICE guidance [PDF]

, 2008
Diabetes in pregnancy is associated with risks to the woman (for example, higher rates of miscarriage, preeclampsia, and preterm labour) and to the developing fetus and baby (for example, higher rates of congenital malformations, macrosomia, birth ...
Guideline Development Group, NICE, Mugglestone, M.   +1 more
core   +3 more sources

Long Term High‐Salt Diet Induces Cognitive Impairments via Down‐Regulating SHANK1

Advanced Science, EarlyView.
The study identifies a novel mechanistic link between long‐term HS diet and cognitive impairment, wherein PKA/CREB axis inactivation leads to SHANK1 reduction, synaptic damage, and cognitive deficits. Abstract High‐salt (HS) diet is an established risk factor for cognitive impairment, but the underlying mechanisms remain unclear.
Cuiping Guo, Yuanyuan Li, Wensheng Li, Tongrui Wu, Yi Liu, Yacoubou Abdoul Razak Mahaman, Jianzhi Wang, Rong Liu, Wei Liu, Hui Shen, Xiaochuan Wang   +10 more
wiley   +1 more source

The correlation between histopathological and ultrasound findings regarding Cesarean section scars – A three-year survey study [PDF]

, 2019
The cesarean operation represents a major surgery, with a higher risk of postoperative complications and longer postoperative recovery than vaginal delivery. Due to the increasing frequency of cesarean sections, the ultrasound imaging of the uterine scar
Bacalbașa, Nicolae, Bălălău, Cristian, Bălălău, Oana D., Dumitru, Vasile A., Ghinghină, Octav, Gălățeanu, Bianca, Negrei, Carolina, Pleș, Liana, Răduță, Cristina, Stănescu, Anca D.   +9 more
core   +1 more source

Targeted Intervention Strategies for Maternal–Offspring Transmission of Christensenellaceae in Pigs via a Deep Learning Model

Advanced Science, EarlyView.
This study deciphers maternal‐driven microbial transmission in pigs using a deep learning model (maternal–offspring microbial transmission model), identifying Christensenellaceae R‐7 group as a key transmitted taxon. Filtered galacto‐oligosaccharides‐targeted Christensenellaceae R‐7 group alters offspring microbial functions via maternal ...
Haibo Shen, Xiaokang Ma, Longlin Zhang, Hao Li, Jichang Zheng, Shengru Wu, Ke Zuo, Yulong Yin, Jing Wang, Bie Tan   +9 more
wiley   +1 more source

Investigating unintended pregnancy complications compared with intended pregnancy [PDF]

, 2018
Title: Investigating unintended pregnancy complications compared with intended pregnancy Background: Based on new policies to increase the population and also the reduction of access to contraceptives compared to the past, the unintended pregnancy is
Mehrbakhsh, Malihe
core  

Estimation of proteinuria as a predictor of complications of pre-eclampsia: a systematic review [PDF]

, 2009
Background Proteinuria is one of the essential criteria for the clinical diagnosis of pre-eclampsia. Increasing levels of proteinuria is considered to be associated with adverse maternal and fetal outcomes.
A Buchbinder, A Paladini, AJ Sutton, American College of Obstetrics and Gynecology, Arri Coomarasamy, B Spargo, Cochrane Methods Working Group, D Rennie, DR Hall, E Schiff, EW Page, FG Cunningham, Fidelma O'Mahony, GH Weenink, GR Thurnau, HC Taylor Jr, HC Taylor Jr, J Waugh, J-RH Fliegner, Javier Zamora, JG Lijmer, JJ Deeks, JN Martin Jr, Khaled MK Ismail, Khalid S Khan, KS Khan, LM Irwig, MA Brown, MG Newman, P Chan, P von Dadelszen, R DerSimonian, R Jaeschke, RA Odegaard, S Ferazzani, S Furukawa, S Greenland, S Thangaratinam, Shakila Thangaratinam, Steve Sharp, TT Lao, VE Pollak   +41 more
core   +5 more sources

The C677T methylenetetrahydrofolate reductase variant and third trimester obstetrical complications in women with unexplained elevations of maternal serum alpha-fetoprotein

Reproductive Biology and Endocrinology, 2004
Introduction The C677T MTHFR variant has been associated with the same third trimester pregnancy complications as seen in women who have elevations of maternal serum α-fetoprotein (MSAFP).
Greenberg Cheryl R, Evans Jane A, Björklund Natalie K, Seargeant Lorne E, Schneider Carol E, Chodirker Bernard N   +5 more
doaj   +1 more source

Multiscale Organization of Neural Networks in a 3D Bioprinted Matrix

Advanced Science, EarlyView.
A 3D bioprint model of primary neurons has been engineered with a millimeter‐scale functional neural network, and it recapitulates in vivo transcriptomic features under both normal and disease conditions to the greatest extent. The successful integration of mature neurons and 3D bioprinting signifies a major advance in neuroscience modeling ...
Huiyu Yang, Jiangang Zhang, Yiran Li, Zihan Zhong, Wenhua Li, Haojun Luo, Yanyong Liu, Liujian Ouyang, Zhuoran Jiang, Yuning Sun, Hang Sun, Lulu Liu, Huayu Yang, Yu Wang, Nan Yang, Wenbin Ma, Yilei Mao   +16 more
wiley   +1 more source

Maternity Care and Consumer-Driven Health Plans [PDF]

, 2007
Compares out-of-pocket costs of maternity care under consumer-driven health plans (CDHP) to a traditional health insurance plan. Explores related factors including prenatal care coverage and unpredictability of costs for delivery and hospital ...
Alina Salganicoff, Karen Pollitz, Mila Kofman, Usha Ranji   +3 more
core  

How Mistimed and Unwanted Pregnancies Affect Timing of Antenatal Care Initiation in three Districts in Tanzania [PDF]

, 2013
Early antenatal care (ANC) initiation is a doorway to early detection and management of potential complications associated with pregnancy. Although the literature reports various factors associated with ANC initiation such as parity and age, pregnancy ...
A Exavery, A Wagstaff, AH Schempf, Ahmed Hingora, AJ Gage, Almamy Malick Kanté, Amon Exavery, AR de Leon, AS Nyamtema, B Simkhada, B Tewodros, C Marston, CA Iyaniwura, E Eggleston, E Vittinghoff, G Tura, Godfrey Mbaruku, HW Reynolds, Inter-Agency Group for Safe Motherhood, J Bongaarts, J Shabani, J Villar, J Villar, James F Phillips, JC Fotso, JD Gipson, JM Najman, JN Nakku, JR Schellenberg, JS Barber, K Gross, K Gross, K Gross, K Hardee, K Kost, KS Khan, L Oakley, M Khan, M Magadi, M Mrisho, MA Lara, MA Magadi, MD Dairo, MW Hetzel, N Regassa, National Bureau of Statistics (NBS) [Tanzania], ICF Macro, OA Oluwatosin, R Ochako, RMN Mpembeni, S Vyas, S Yohannes, Senga Pemba, UNICEF, World Health Organization (WHO) United Nations Children's Fund (UNICEF), Y Agus, Y Lau, Y Ye   +56 more
core   +5 more sources