2015
DOI: 10.1016/j.jgyn.2015.06.010
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Épidémiologie de la prématurité : prévalence, évolution, devenir des enfants

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Cited by 56 publications
(25 citation statements)
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“…To determine the association between RDS and mother's preeclampsia, simultaneously we assessed maternal obstetric medical records. All preterm subjects were divided into 3 groups based on WHO identification [12]; extremely preterm (<28 weeks), very preterm (28 to <32 weeks) and moderate preterm (32 to 34 weeks). Finally we compared frequency of RDS among 3 groups and evaluated correlations between some related factors, as well.…”
Section: Methodsmentioning
confidence: 99%
“…To determine the association between RDS and mother's preeclampsia, simultaneously we assessed maternal obstetric medical records. All preterm subjects were divided into 3 groups based on WHO identification [12]; extremely preterm (<28 weeks), very preterm (28 to <32 weeks) and moderate preterm (32 to 34 weeks). Finally we compared frequency of RDS among 3 groups and evaluated correlations between some related factors, as well.…”
Section: Methodsmentioning
confidence: 99%
“…Worldwide, the incidence of preterm birth with a very low gestational age (VLGA, born ≤ 32 weeks of GA) is 1 in 100, and extremely low gestational age (ELGA, born ≤ 32 weeks of GA) 1 in 200, with a mortality rate of 5-10% and +10%, respectively [Torchin et al, 2015]. Even in the absence of overt brain lesions, very preterm infants are at higher risk of cognitive, behavioral and motor problems [Aarnoudse-Moens et al, 2009;Anderson, 2014;Moore et al, 2012] compared to healthy full-term children.…”
Section: Introductionmentioning
confidence: 99%
“…Although these studies have resulted in improved prediction of PD and a decrease in the number of premature births, at present, the accuracy of predicting preterm births is still a puzzle because of many factors that contribute to the outcome of PD. These factors include a previous history of PD, gestational age, pregnancy complications, psychological and genetic factors 7 , maternal obesity 8 , 9 , placenta previa 10 , fat-to-placenta strain ratio value 11 , serum relaxin 12 , insulin-like growth factor-binding protein-1 13 , interleukin-1β (IL-1β) 14 , thioredoxin and interleukin 1 receptor antagonist 15 , and fetal fibronectin levels and cervical length measurements 16 , 17 . However, some of these factors have shortcomings with respect to sensitivity or specificity, which affects the accuracy of PD prediction.…”
Section: Introductionmentioning
confidence: 99%