scholarly journals Urinary 8-hydroxy-2′-deoxyguanosine levels and small-for-gestational age infants: a prospective cohort study from the Japan Environment and Children’s Study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e054156
Author(s):  
Tsuyoshi Murata ◽  
Hyo Kyozuka ◽  
Toma Fukuda ◽  
Yuta Endo ◽  
Aya Kanno ◽  
...  

ObjectivesTo evaluate the association between the urinary 8-hydroxy-2′-deoxyguanosine (U8-OHdG) levels and the incidence of small-for-gestational age (SGA) infants and to assess the utility of U8-OHdG as a biomarker to predict the incidence of SGA infants.DesignProspective cohort study.SettingThe Japan Environment and Children’s Study.ParticipantsData of participants enrolled in the Japan Environment and Children’s Study, a nationwide birth cohort study, between 2011 and 2014 were analysed; 104 062 fetal records were analysed. Data of women with singleton pregnancies ≥22 weeks of gestation were analysed.Primary and secondary outcome measuresU8-OHdG levels were assessed using liquid chromatography-tandem mass spectrometry. Participants were categorised into the following three groups according to the quartile of the distribution of U8-OHdG: low U8-OHdG (<1.95 ng/mgCre), moderate U8-OHdG (the combined second and third quartiles; 1.95–2.95 ng/mgCre) and high U8-OHdG (>2.95 ng/mgCre) groups. Additionally, participants in the 90th percentile for U8-OHdG levels were analysed. Odds ratios (ORs) for SGA infants (<−1.5 and <−2.0 SD) were calculated using a logistic regression model while adjusting for confounding factors; the moderate U8-OHdG group was used as a reference. The cut-off value of U8-OHdG to predict the incidence of SGA infants was calculated using a receiver operating characteristic (ROC) curve analysis.ResultsData of 80 212 participants were analysed. The adjusted ORs for SGA infants (<−1.5 and<−2.0 SD) in the high U8-OHdG group were 1.16 (95% CI 1.07 to 1.25) and 1.22 (95% CI 1.07 to 1.38). The cut-off value of U8-OHdG (3.26 ng/mgCre) showed a poor ability to predict SGA infants (sensitivity, 21.9%; specificity, 83.6%; area under the ROC curve, 0.530).ConclusionsElevated U8-OHdG levels were associated with an increased incidence of SGA infants. However, this parameter would not be a useful screening tool for predicting SGA infants owing to its low sensitivity and specificity.

2018 ◽  
Vol 13 ◽  
pp. S24-S25
Author(s):  
Eva van der Vlugt ◽  
Petra Verburg ◽  
Shalem Leemaqz ◽  
Lesley Mccowan ◽  
Lucilla Poston ◽  
...  

2017 ◽  
Vol 45 (4) ◽  
Author(s):  
Célia Amorim-Costa ◽  
A. Rita Gaio ◽  
Diogo Ayres-de-Campos ◽  
João Bernardes

AbstractObjective:To compare longitudinal trends of cardiotocographic (CTG) parameters between small-for-gestational-age (SGA) and normal fetuses, from 24 to 41 weeks of pregnancy.Methods:A prospective cohort study was carried out in singleton pregnancies without fetal malformations. At least one CTG was performed in each of the following intervals: 24–26 weeks+6 days, 27–29 weeks+6 days, 30–32 weeks+6 days, 33–35 weeks+6 days, 36–38 weeks+6 days and ≥39 weeks. Tracings were analyzed using the Omniview-SisPortoResults:A total of 176 fetuses (31 SGA) and 1256 tracings (207 from SGA fetuses) were evaluated. All CTG parameters changed significantly throughout pregnancy in the three groups, with a decreasing baseline and probability of decelerations, and an increasing average long-term variability (LTV), average short-term variability (STV) and accelerations. Baseline showed a more pronounced decrease (steeper slope) in SGA fetuses, being higher in these cases at earlier gestational ages and lower later in pregnancy. Average LTV was significantly lower in SGA<p3 fetuses, but a parallel increase occurred in all groups. There was a considerable inter-fetal variability within each group.Conclusion:A unique characterization of CTG trends throughout gestation in SGA fetuses was provided. A steeper descent of the baseline was reported for the first time. The findings raise the possibility of clinical application of computerized CTG analysis in screening and management of fetal growth restriction.


Author(s):  
Taddese Alemu Zerfu ◽  
Kaleab Baye ◽  
Mieke Faber

Abstract Background Correcting anemia during pregnancy often requires integrating food and non-food-based approaches. Nonetheless, little is known about specific dietary diversity (DD) cutoff values predicting risk of anemia during the different trimesters of pregnancy. Objective We aimed to determine the lowest possible DD cutoff values associated with risk of maternal anemia at mid and term of pregnancy in a rural resource limited setting of Ethiopia. Design A multi-center prospective cohort study was conducted enrolling 432 eligible pregnant women from eight rural health centers selected from four districts in Arsi zone, Central Ethiopia. Women were classified into exposed (n = 216) and unexposed (n = 216) groups, based on Women’s Individual Dietary Diversity (WIDD) score, and were followed from mid to term of pregnancy. The cutoff values for WIDD corresponding to the lowest risk of anemia were defined by receiver operating characteristic (ROC) curve analysis. Logistic regressions were also fitted to identify food groups associated with low anemia risk during pregnancy. Results The overall prevalence of anemia increased from 28.6 to 32.4% between mid and term of pregnancy. Calculatedly, using the ROC curve analysis, the minimum WIDD score associated with lower risk of anemia was three and four respectively at these periods. Not consuming animal source foods [adjusted odds ratio (AOR), 2.36; 95% confidence interval (CI), 1.35–4.14], pre-existing anemia (AOR 28.56; 95% CI, 14.33, 56.79), and low DD during pregnancy (AOR, 2.22; 95% CI, 1.09–4.52) were associated with risk of anemia at term. Conclusion The cutoff for WIDD score predicting risk of anemia varied significantly, increasing from three to four, between mid and term of pregnancy. Additional population-based observational and experimental studies validating the metrics are needed before policy level recommendations. Trial registration This trial was registered at clinicaltrials.gov as NCT02620943.


2015 ◽  
Vol 166 (1) ◽  
pp. 54-58.e3 ◽  
Author(s):  
Xiaoping Lei ◽  
Yan Chen ◽  
Jiangfeng Ye ◽  
Fengxiu Ouyang ◽  
Fan Jiang ◽  
...  

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