scholarly journals Prenatal Risk Factors for Adverse Developmental Outcome in Preterm Infants—Systematic Review

2019 ◽  
Vol 10 ◽  
Author(s):  
Milla K. Ylijoki ◽  
Eeva Ekholm ◽  
Mikael Ekblad ◽  
Liisa Lehtonen
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Preterm Infants ◽  
Developmental Outcome ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

scholarly journals Fetal Presentation of Long QT Syndrome – Evaluation of Prenatal Risk Factors: A Systematic Review

2013 ◽  
Vol 33 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Satoshi Ishikawa ◽  
Takashi Yamada ◽  
Tomoyuki Kuwata ◽  
Mamoru Morikawa ◽  
Takahiro Yamada ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Long Qt Syndrome ◽  
Long Qt ◽  
Prenatal Risk ◽  
Prenatal Risk Factors ◽  
Qt Syndrome

Prenatal Risk Factors for Severe Retinopathy of Prematurity Among Very Preterm Infants of the Australian and New Zealand Neonatal Network

PEDIATRICS ◽  
2005 ◽  
Vol 115 (4) ◽  
pp. 990-996 ◽  
Author(s):  
B. A. Darlow ◽  
J. L. Hutchinson ◽  
D. J. Henderson-Smart ◽  
D. A. Donoghue ◽  
J. M. Simpson ◽  
...  
Keyword(s):  
Risk Factors ◽  
New Zealand ◽  
Preterm Infants ◽  
Retinopathy Of Prematurity ◽  
Very Preterm Infants ◽  
Very Preterm ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

scholarly journals Prenatal risk factors and neonatal DNA methylation in very preterm infants

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Marie Camerota ◽  
Stefan Graw ◽  
Todd M. Everson ◽  
Elisabeth C. McGowan ◽  
Julie A. Hofheimer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dna Methylation ◽  
Preterm Infants ◽  
Latent Class ◽  
Risk Profiles ◽  
Very Preterm Infants ◽  
Very Preterm ◽  
Cpg Sites ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

Abstract Background Prenatal risk factors are related to poor health and developmental outcomes for infants, potentially via epigenetic mechanisms. We tested associations between person-centered prenatal risk profiles, cumulative prenatal risk models, and epigenome-wide DNA methylation (DNAm) in very preterm neonates. Methods We studied 542 infants from a multi-center study of infants born < 30 weeks postmenstrual age. We assessed 24 prenatal risk factors via maternal report and medical record review. Latent class analysis was used to define prenatal risk profiles. DNAm was quantified from neonatal buccal cells using the Illumina MethylationEPIC Beadarray. Results We identified three latent profiles of women: a group with few risk factors (61%) and groups with elevated physical (26%) and psychological (13%) risk factors. Neonates born to women in higher risk subgroups had differential DNAm at 2 CpG sites. Higher cumulative prenatal risk was associated with methylation at 15 CpG sites, 12 of which were located in genes previously linked to physical and mental health and neurodevelopment. Conclusion We observed associations between prenatal risk factors and DNAm in very preterm infants using both person-centered and cumulative risk approaches. Epigenetics offers a potential biological indicator of prenatal risk exposure.

Prenatal risk factors and neonatal DNA methylation in very preterm infants

2021 ◽  
Author(s):  
Marie Camerota ◽  
Stefan Graw ◽  
Todd M Everson ◽  
Elisabeth C. McGowan ◽  
Julie A Hofheimer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dna Methylation ◽  
Preterm Infants ◽  
Latent Class ◽  
Risk Profiles ◽  
Very Preterm Infants ◽  
Very Preterm ◽  
Cpg Sites ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

Background: Prenatal risk factors are related to poor health and developmental outcomes for infants, potentially via epigenetic mechanisms. We tested associations between person-centered prenatal risk profiles, cumulative prenatal risk models, and epigenome-wide DNA methylation (DNAm) in very preterm neonates.Methods: We studied 542 infants from a multi-center study of infants born &lt;30 weeks postmenstrual age. We assessed 24 prenatal risk factors via maternal report and medical record review. Latent class analysis (LCA) was used to define prenatal risk profiles. DNAm was quantified from neonatal buccal cells using the Illumina MethylationEPIC Beadarray.Results: We identified three latent profiles of women: a group with few risk factors (61%) and groups with elevated physical (26%) and psychological (13%) risk factors. Neonates born to women in higher risk subgroups had differential DNAm at 2 CpG sites. Higher cumulative prenatal risk was associated with methylation at 15 CpG sites, 12 of which were located in genes previously linked to physical and mental health and neurodevelopment.Conclusion: We observed associations between prenatal risk factors and DNAm in very preterm infants using both person-centered and cumulative risk approaches. Epigenetics offers a potential biological indicator of prenatal risk exposure.

scholarly journals Prenatal Sociodemographic Factors Predicting Maltreatment of Children up to 3 Years Old: A Prospective Cohort Study Using Administrative Data in Japan

2021 ◽  
Vol 18 (5) ◽  
pp. 2505
Author(s):  
Aya Isumi ◽  
Kunihiko Takahashi ◽  
Takeo Fujiwara
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Child Maltreatment ◽  
Survey Data ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Characteristic Curve ◽  
Risk Scores ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

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.

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