scholarly journals Gestational age at delivery, circumstances at parturition, and prenatal risk factors affect outcomes of late preterm newborns: results from an area-based, prospective cohort study.

Author(s):  
Francesca Monari ◽  
Giuseppe Chiossi ◽  
Giancarlo Gargano ◽  
Michela Ballarini ◽  
Dante Baronciani ◽  
...  
Author(s):  
Aya Isumi ◽  
Kunihiko Takahashi ◽  
Takeo Fujiwara

Identifying risk factors from pregnancy is essential for preventing child maltreatment. However, few studies have explored prenatal risk factors assessed at pregnancy registration. This study aimed to identify prenatal risk factors for child maltreatment during the first three years of life using population-level survey data from pregnancy notification forms. This prospective cohort study targeted all mothers and their infants enrolled for a 3- to 4-month-old health check between October 2013 and February 2014 in five municipalities in Aichi Prefecture, Japan, and followed them until the child turned 3 years old. Administrative records of registration with Regional Councils for Children Requiring Care (RCCRC), which is suggestive of child maltreatment cases, were linked with survey data from pregnancy notification forms registered at municipalities (n = 893). Exact logistic regression was used for analysis. A total of 11 children (1.2%) were registered with RCCRC by 3 years of age. Unmarried marital status, history of artificial abortion, and smoking during pregnancy were significantly associated with child maltreatment. Prenatal risk scores calculated as the sum of these prenatal risk factors, ranging from 0 to 7, showed high predictive power (area under receiver operating characteristic curve 0.805; 95% confidence interval (CI), 0.660–0.950) at a cut-off score of 2 (sensitivity = 72.7%, specificity = 83.2%). These findings suggest that variables from pregnancy notification forms may be predictors of the risk for child maltreatment by the age of three.


2020 ◽  
Vol 222 (1) ◽  
pp. S32
Author(s):  
Whitney A. Booker ◽  
Etoroabasi E. Ekpe ◽  
Yuan Zhang ◽  
Cande V. Ananth ◽  
Roxane Handal-Orefice ◽  
...  

Author(s):  
Lola Loussert ◽  
Catherine Deneux-Tharaux ◽  
Aurélien Seco ◽  
Francois Goffinet ◽  
diane korb ◽  
...  

Objective: To assess the association between gestational age at delivery and postpartum severe acute maternal morbidity (SAMM) in twin pregnancies. Design: Population-based, national, prospective, cohort study Setting: From 02/2014 to 03/2015 in France Population: Women with twin pregnancies who gave birth after 32 weeks of gestation. We excluded women with fetal death or medical termination of either twin, with antepartum SAMM, with antepartum conditions responsible for postpartum SAMM. Methods: Gestational age at delivery was studied as the number of completed weeks of gestation. We assessed the association between gestational age at delivery and postpartum SAMM by using multivariable multilevel modified Poisson regression modelling. Main Outcome Measures: Composite criteria of postpartum severe acute maternal morbidity Results: Among the 7,713 women included, 410 (5.3%) developed postpartum SAMM, mainly (88.5%) postpartum haemorrhage. Compared with the reference category of 37 weeks, the risk of postpartum SAMM was significantly lower for all categories of earlier gestational age at delivery (from aRR=0.34, 95% CI 0.17-0.68 at 32 weeks to aRR=0.71, 95% CI 0.54-0.94 at 36 weeks), and did not differ for later categories. Conclusion: In twin pregnancies, compared with delivery at 37 weeks, delivery at earlier gestational ages is associated with a lower risk of postpartum SAMM. Continuing pregnancy beyond 37 weeks is not associated with an increased risk of postpartum SAMM. Funding: Supported by a grant from the French Ministry of Health (Programme Hospitalier de Recherche Clinique, AOM2012) and a grant from Université Toulouse III. Keywords: severe acute maternal morbidity, twin pregnancy, timing of delivery


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1571-P
Author(s):  
HYUN UK MOON ◽  
JA YOUNG JEON ◽  
SOOJIN LEE ◽  
SEUNG JIN HAN ◽  
HAE JIN KIM ◽  
...  

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