small for gestational age Archives - Revista Brasileira de Ginecologia e Obstetrícia
, , , , , Summary
Rev Bras Ginecol Obstet. 2021;43(10):743-748
, , , , , , To assess maternal serum levels of vitamin D in fetuses appropriate for gestational age (AGA), small for gestational age (SGA), and with fetal growth restriction (FGR) according to estimated fetal weight (EFW).
This cross-sectional study included 87 pregnant women between 26 and 36 weeks of gestation: 38 in the AGA group, 24 in the SGA group, and 25 in the FGR group. Maternal serum vitamin D levels were assessed using the chemiluminescence method. The Fisher exact test was used to compare the results between the groups.
The mean ± standard deviation (SD) of maternal age (years) and body mass index (kg/m2) in the AGA, SGA, and FGR groups were 25.26 8.40 / 26.57 ± 4.37; 25.04 ± 8.44 / 26.09 ± 3.94; and 25.48 ± 7.52 / 26.24 ± 4.66, respectively (p > 0.05). The maternal serum vitamin D levels (mean ± SD) of the AGA, SGA, and FGR groups were 22.47 ± 8.35 ng/mL, 24.80 ± 10.76 ng/mL, and 23.61 ± 9.98 ng/mL, respectively, but without significant differences between the groups (p = 0.672).
Maternal serum vitamin D levels did not present significant differences among pregnant women with AGA, SGA, or FGR fetuses between 26 and 36 weeks of gestation according to EFW.
Summary
Rev Bras Ginecol Obstet. 2021;43(10):743-748
, , , , , , To assess maternal serum levels of vitamin D in fetuses appropriate for gestational age (AGA), small for gestational age (SGA), and with fetal growth restriction (FGR) according to estimated fetal weight (EFW).
This cross-sectional study included 87 pregnant women between 26 and 36 weeks of gestation: 38 in the AGA group, 24 in the SGA group, and 25 in the FGR group. Maternal serum vitamin D levels were assessed using the chemiluminescence method. The Fisher exact test was used to compare the results between the groups.
The mean ± standard deviation (SD) of maternal age (years) and body mass index (kg/m2) in the AGA, SGA, and FGR groups were 25.26 8.40 / 26.57 ± 4.37; 25.04 ± 8.44 / 26.09 ± 3.94; and 25.48 ± 7.52 / 26.24 ± 4.66, respectively (p > 0.05). The maternal serum vitamin D levels (mean ± SD) of the AGA, SGA, and FGR groups were 22.47 ± 8.35 ng/mL, 24.80 ± 10.76 ng/mL, and 23.61 ± 9.98 ng/mL, respectively, but without significant differences between the groups (p = 0.672).
Maternal serum vitamin D levels did not present significant differences among pregnant women with AGA, SGA, or FGR fetuses between 26 and 36 weeks of gestation according to EFW.
, Summary
Rev Bras Ginecol Obstet. 2019;41(12):688-696
, To evaluate the association between early-onset fetal growth restriction (FGR), late-onset FGR, small for gestational age (SGA) and adequate for gestational age (AGA) fetuses and adverse perinatal outcomes.
This was a retrospective longitudinal study in which 4 groups were evaluated: 1 - early-onset FGR (before 32 weeks) (n=20), 2 - late-onset FGR (at or after 32 weeks) (n=113), 3 - SGA (n=59), 4 - AGA (n=476). The Kaplan-Meier curve was used to compare the time from the diagnosis of FGR to birth. Logistic regression was used to determine the best predictors of adverse perinatal outcomes in fetuses with FGR and SGA.
A longer timebetween the diagnosis and birthwas observed forAGAthan for late FGR fetuses (p<0.001). The model including the type of FGR and the gestational age at birth was significant in predicting the risk of hospitalization in the neonatal intensive care unit (ICU) (p<0.001). The model including only the type of FGR predicted the risk of needing neonatal resuscitation (p<0.001), of respiratory distress (p<0.001), and of birth at<32, 34, and 37 weeks of gestation, respectively (p<0.001).
Fetal growth restriction and SGA were associated with adverse perinatal outcomes. The type of FGR at the moment of diagnosis was an independent variable to predict respiratory distress and the need for neonatal resuscitation. The model including both the type of FGR and the gestational age at birth predicted the risk of needing neonatal ICU hospitalization.
Summary
Rev Bras Ginecol Obstet. 2019;41(12):688-696
, To evaluate the association between early-onset fetal growth restriction (FGR), late-onset FGR, small for gestational age (SGA) and adequate for gestational age (AGA) fetuses and adverse perinatal outcomes.
This was a retrospective longitudinal study in which 4 groups were evaluated: 1 - early-onset FGR (before 32 weeks) (n=20), 2 - late-onset FGR (at or after 32 weeks) (n=113), 3 - SGA (n=59), 4 - AGA (n=476). The Kaplan-Meier curve was used to compare the time from the diagnosis of FGR to birth. Logistic regression was used to determine the best predictors of adverse perinatal outcomes in fetuses with FGR and SGA.
A longer timebetween the diagnosis and birthwas observed forAGAthan for late FGR fetuses (p<0.001). The model including the type of FGR and the gestational age at birth was significant in predicting the risk of hospitalization in the neonatal intensive care unit (ICU) (p<0.001). The model including only the type of FGR predicted the risk of needing neonatal resuscitation (p<0.001), of respiratory distress (p<0.001), and of birth at<32, 34, and 37 weeks of gestation, respectively (p<0.001).
Fetal growth restriction and SGA were associated with adverse perinatal outcomes. The type of FGR at the moment of diagnosis was an independent variable to predict respiratory distress and the need for neonatal resuscitation. The model including both the type of FGR and the gestational age at birth predicted the risk of needing neonatal ICU hospitalization.
Summary
Rev Bras Ginecol Obstet. 2019;41(7):454-462
Fetal growth restriction (FGR) diagnosis is often made by fetal biometric ultrasound measurements orDoppler evaluation, but most babies are only diagnosed after birth, using the birth weight as a proxy for intrauterine development. The higher risks of neurodevelopmental delay, metabolic syndrome, and cardiovascular illness associated with FGR impose a shift on the focus during pregnancy. New methodological approaches, like metabolomics, can provide novel biomarkers for intrauterine fetal development. Recent evidence on metabolites involved with fetal growth and weight show a consistent role played by lipids (especially fatty acids), amino acids, vitamin D and folic acid. Fetal energy source andmetabolism, structural functions, and nervous system functioning need further evaluations in different populations. In the near future, the establishment of a core set of outcomes for FGR studies may improve the identification of the role of each metabolite in its development. Thus, we will concretely progress with the perspective of a translational capacity of metabolomics for this condition.
Summary
Rev Bras Ginecol Obstet. 2019;41(7):454-462
Fetal growth restriction (FGR) diagnosis is often made by fetal biometric ultrasound measurements orDoppler evaluation, but most babies are only diagnosed after birth, using the birth weight as a proxy for intrauterine development. The higher risks of neurodevelopmental delay, metabolic syndrome, and cardiovascular illness associated with FGR impose a shift on the focus during pregnancy. New methodological approaches, like metabolomics, can provide novel biomarkers for intrauterine fetal development. Recent evidence on metabolites involved with fetal growth and weight show a consistent role played by lipids (especially fatty acids), amino acids, vitamin D and folic acid. Fetal energy source andmetabolism, structural functions, and nervous system functioning need further evaluations in different populations. In the near future, the establishment of a core set of outcomes for FGR studies may improve the identification of the role of each metabolite in its development. Thus, we will concretely progress with the perspective of a translational capacity of metabolomics for this condition.
Summary
Rev Bras Ginecol Obstet. 2011;33(4):157-163
DOI 10.1590/S0100-72032011000400002
PURPOSE: to determine the best Doppler flow velocimetry index to predict small infants for gestational age (SGAI), in pregnant women with hypertensive syndromes. METHODS: a cross-sectional study was conducted enrolling 129 women with high blood pressure, submitted to dopplervelocimetry up to 15 days before delivery. Women with multiple fetuses, fetal malformations, genital bleeding, placental abruption, premature rupture of fetal membranes, smoking, use of illicit drugs, and chronic diseases were excluded. A receiver operating characteristic (ROC) curve for each Doppler variable was constructed to diagnose SGAI and the sensitivity (Se), specificity (Sp), positive (PLR) and negative (NLR) likelihood ratio were calculated. RESULTS: the area under the ROC curve for the middle cerebral artery resistance index was 52% (p=0.79) with Se, Sp, PLR, and NLR of 25.0, 89.1, 2.3 and 0.84% for a resistance index lower than 0.70, respectively. While the area under the ROC curve for the resistance index of the umbilical artery was 74% (p=0.0001), with Se=50.0%, Sp=90.0%, PLR=5.0 and NLR=0.56, for a resistance index higher or equal to 0.70. The area under the ROC curve for the resistance index umbilical artery/middle cerebral artery ratio was 75% (p=0.0001). When it was higher than 0.86, the Se, Sp, PLR and NLR were 70.8, 80.0, 3.4 and 0.36%, respectively. For the resistance index of the middle cerebral artery/uterine artery ratio, the area under the ROC curve was 71% (p=0.0001). We found a Se=52.2%, Sp=85.9%, PLR=3.7 and NLR=0.56, when the ratio was lower than 1.05. When we compared the area under the ROC curve of the four dopplervelocimetry indexes, we observed that only the resistance index umbilical artery/middle cerebral artery, resistance index middle cerebral artery/uterine artery and resistance index umbilical artery ratios seem to be useful for the prediction of SGA. CONCLUSION: in patients with high blood pressure during pregnancy, all dopplervelocimetry parameters, except the middle cerebral artery resistance index, can be used to predict SGAI. The umbilical artery/middle cerebral artery ratio seems to be the most recommended one.
Summary
Rev Bras Ginecol Obstet. 2011;33(4):157-163
DOI 10.1590/S0100-72032011000400002
PURPOSE: to determine the best Doppler flow velocimetry index to predict small infants for gestational age (SGAI), in pregnant women with hypertensive syndromes. METHODS: a cross-sectional study was conducted enrolling 129 women with high blood pressure, submitted to dopplervelocimetry up to 15 days before delivery. Women with multiple fetuses, fetal malformations, genital bleeding, placental abruption, premature rupture of fetal membranes, smoking, use of illicit drugs, and chronic diseases were excluded. A receiver operating characteristic (ROC) curve for each Doppler variable was constructed to diagnose SGAI and the sensitivity (Se), specificity (Sp), positive (PLR) and negative (NLR) likelihood ratio were calculated. RESULTS: the area under the ROC curve for the middle cerebral artery resistance index was 52% (p=0.79) with Se, Sp, PLR, and NLR of 25.0, 89.1, 2.3 and 0.84% for a resistance index lower than 0.70, respectively. While the area under the ROC curve for the resistance index of the umbilical artery was 74% (p=0.0001), with Se=50.0%, Sp=90.0%, PLR=5.0 and NLR=0.56, for a resistance index higher or equal to 0.70. The area under the ROC curve for the resistance index umbilical artery/middle cerebral artery ratio was 75% (p=0.0001). When it was higher than 0.86, the Se, Sp, PLR and NLR were 70.8, 80.0, 3.4 and 0.36%, respectively. For the resistance index of the middle cerebral artery/uterine artery ratio, the area under the ROC curve was 71% (p=0.0001). We found a Se=52.2%, Sp=85.9%, PLR=3.7 and NLR=0.56, when the ratio was lower than 1.05. When we compared the area under the ROC curve of the four dopplervelocimetry indexes, we observed that only the resistance index umbilical artery/middle cerebral artery, resistance index middle cerebral artery/uterine artery and resistance index umbilical artery ratios seem to be useful for the prediction of SGA. CONCLUSION: in patients with high blood pressure during pregnancy, all dopplervelocimetry parameters, except the middle cerebral artery resistance index, can be used to predict SGAI. The umbilical artery/middle cerebral artery ratio seems to be the most recommended one.
