scholarly journals Birthweight features of the infants of mothers diagnosed with diabetes at different gestational ages in South China from 2014 to 2018: a retrospective study

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042476
Author(s):  
Xin-xin Huang ◽  
Xiu-Min Jiang ◽  
Qing-Xiang Zheng ◽  
Xiao-Qing Chen ◽  
Yu-Qing Pan
Keyword(s):  
Birth Weight ◽  
Gestational Diabetes ◽  
South China ◽  
Gestational Age ◽  
Fetal Weight ◽  
Large For Gestational Age ◽  
Secondary Outcome ◽  
Appropriate For Gestational Age ◽  
The Difference ◽  
And Gender

ObjectivesThe primary purpose was to measure the birth weight of infants of mothers with gestational diabetes (IMGDs) at different gestational ages to develop new reference charts and curves for them. A further purpose was to compare them with those of 159 334 infants in China to provide more accurate reference charts for the diagnosis of suspected abnormal birth weight of IMGDs. The final purpose was to evaluate the key periods for such mothers to control their weight in line with the difference of fetal weight of each two neighbouring gestational ages.SettingA specialised hospital in South ChinaParticipantsIMGDs born here from January 2014 to December 2018.Primary and secondary outcome variablesBirth weight, gestational ages of IMGDs, gender and year of birth.ResultsData of 14 311 singleton live births at the gestational weeks 25–42 here were collected. The proportions of low birth weight, normal birth weight and macrosomia were 7.26%, 87.04%, and 5.70%, respectively. The proportions of small for gestational age, appropriate for gestational age and large for gestational age were 5.69%, 84.42% and 9.89%, respectively. In the macrosomia group, the mean of all birth weight in 2017 decreased for the first time since 2014. Both the means of birth weight of male infants at gestational weeks 36–41 and of female at weeks 38–40 were greater than that of the 159 334 infants. The increase of each weekly mean of IMGDs at gestational weeks 27–31 and 33–35 was >10% compared with the former. Based on this, new reference charts of birth weight for IMGDs in terms of different gestational age and gender were formulated.ConclusionThese charts may be applied as reference for more accurate diagnosis and quick treatment of abnormal birth weight. This study showed that the identification of key periods for fetal weight gain was helpful for the management of the weight of women with gestational diabetes.

scholarly journals Validation of Hadlock's and Shepard Formulae of Fetal Weight Estimation in Eastern Region of Nepal

2019 ◽  
Vol 4 (2) ◽  
pp. 738-743
Author(s):  
Roshana Khadka
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Fetal Weight ◽  
Large For Gestational Age ◽  
Eastern Region ◽  
Weight Estimation ◽  
Normal Birth ◽  
Fetal Weight Estimation ◽  
The Difference ◽  
Development Outcomes

Introduction: Ultrasonography plays a pivotal role in present day obstetrics. It has been well recognized that the fetuses of extremes of the normal birth weight range are associated with increased perinatal morbidity, mortality and adverse development outcomes. Categorization of fetal weight into either the small or large for gestational age may lead to timed obstetric interventions that collectively represent significant departure from routine antenatal care. Objective: To compare the accuracy of Hadlock's 1, 2, 3, 4 and Shepard model in estimating expected fetal weight and its comparison with actual birth weight in our population at eastern region of Nepal. Methodology A prospective observational study was performed in the Department of Radiodiagnosis, Nobel Medical college and teaching hospital, Biratnagar, over a period of 6 months dated Jan 2018 to June 2018 using systematic random sampling with sample size estimated as 160, with 5% level of significance, 80% power of test and a maximum of 200 grams differences by our predicting model from actual mean weight. Singleton, term pregnancy (37- 42 weeks gestational age) verified with antenatal USG performed prior to 20 weeks' gestation. Pregnancies complicated by congenital anomalies and deliveries after 2 days of USG examination were excluded. Results: 159 pregnant ladies were enrolled in our study with mean age of 27.60 ± 5.633 years (range 18-43 years). The average (actual) birth weight recorded was 3450.79±438.73gms. The different formulae for estimating birth weight gave us similar results. Estimation of fetal weight by Shepard gave us a mean of 3340.80 ± 463.72. Hadlock1, Hadlock2, Hadlock3 and Hadlock4were 3546.55±429.92grams, 3491.18±439.49 grams, 3445.23 ±422.79grams, and 3446.12±418.43grams respectively. Conclusion: All four Hadlock formulae gave comparable results for fetal weight estimation including the Shepard formula; however, Shepard formula tends to underestimate fetal weight as compared to rest of the formulae. Among the Hadlock's, Hadlock 2 seems to show betier accuracy in fetal weight prediction in our population of study. The mean birth weight recorded using Hadlock 1 formula gave the beer correlation with the actual birth weight though the difference between four Hadlock formulae was all insignificant.

scholarly journals Large-for-gestational-age phenotypes and obesity risk in adulthood: a study of 195,936 women

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
José G. B. Derraik ◽  
Sarah E. Maessen ◽  
John D. Gibbins ◽  
Wayne S. Cutfield ◽  
Maria Lundgren ◽  
...  
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Reference Group ◽  
Ponderal Index ◽  
Large For Gestational Age ◽  
Adjusted Relative Risk ◽  
Obesity Risk ◽  
Increased Risk ◽  
Appropriate For Gestational Age ◽  
Using Data

AbstractWhile there is evidence that being born large-for-gestational-age (LGA) is associated with an increased risk of obesity later in life, the data are conflicting. Thus, we aimed to examine the associations between proportionality at birth and later obesity risk in adulthood. This was a retrospective study using data recorded in the Swedish Birth Register. Anthropometry in adulthood was assessed in 195,936 pregnant women at 10–12 weeks of gestation. All women were born at term (37–41 weeks of gestation). LGA was defined as birth weight and/or length ≥2.0 SDS. Women were separated into four groups: appropriate-for-gestational-age according to both weight and length (AGA – reference group; n = 183,662), LGA by weight only (n = 4,026), LGA by length only (n = 5,465), and LGA by both weight and length (n = 2,783). Women born LGA based on length, weight, or both had BMI 0.12, 1.16, and 1.08 kg/m2 greater than women born AGA, respectively. The adjusted relative risk (aRR) of obesity was 1.50 times higher for those born LGA by weight and 1.51 times for LGA by both weight and height. Length at birth was not associated with obesity risk. Similarly, women born LGA by ponderal index had BMI 1.0 kg/m2 greater and an aRR of obesity 1.39 times higher than those born AGA. Swedish women born LGA by weight or ponderal index had an increased risk of obesity in adulthood, irrespective of their birth length. Thus, increased risk of adult obesity seems to be identifiable from birth weight and ignoring proportionality.

scholarly journals Serum Microelements in Early Pregnancy and their Risk of Large-for-Gestational Age Birth Weight

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 866 ◽  
Author(s):  
Małgorzata Lewandowska ◽  
Jan Lubiński
Keyword(s):  
Birth Weight ◽  
Early Pregnancy ◽  
Gestational Age ◽  
Preliminary Evidence ◽  
Large For Gestational Age ◽  
Female Fetus ◽  
Appropriate For Gestational Age ◽  
Nested Case Control ◽  
Relationship Of

Excessive birth weight has serious perinatal consequences, and it “programs” long-term health. Mother’s nutritional status can be an important element in fetal “programming”; microelements such as selenium (Se), zinc (Zn), copper (Cu), and iron (Fe) are involved in many metabolic processes. However, there are no studies assessing the relationship of the microelements in the peri-conceptual period with the risk of excessive birth weight. We performed a nested case control study of serum microelements’ levels in the 10–14th week of pregnancy and assessed the risk of large-for-gestational age (LGA) newborns using the data from a prospective cohort of pregnant women recruited in 2015–2016 in Poznań, Poland. Mothers delivering LGA newborns (n = 66) were examined with matched mothers delivering appropriate-for-gestational age (AGA) newborns (n = 264). Microelements’ levels were quantified using mass spectrometry. The odds ratios of LGA (and 95% confidence intervals) were calculated by multivariate logistic regression. In the whole group, women with the lowest quartile of Se had a 3 times higher LGA risk compared with women in the highest Se quartile (AOR = 3.00; p = 0.013). Importantly, the result was sustained in the subgroup of women with the normal pre-pregnancy BMI (AOR = 4.79; p = 0.033) and in women with a male fetus (AOR = 6.28; p = 0.004), but it was not sustained in women with a female fetus. There were no statistical associations between Zn, Cu, and Fe levels and LGA. Our study provides some preliminary evidence for the relationships between lower serum Se levels in early pregnancy and a higher risk of large-for-gestational age birth weight. Appropriate Se intake in the periconceptual period may be important for optimal fetal growth.

scholarly journals Temporal Trends in Gestational Diabetes Prevalence, Treatment, and Outcomes at Aarhus University Hospital, Skejby, between 2004 and 2016

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Per Glud Ovesen ◽  
Jens Fuglsang ◽  
Mette Bisgaard Andersen ◽  
Charlotte Wolff ◽  
Olav Bjørn Petersen ◽  
...  
Keyword(s):  
Birth Weight ◽  
Gestational Diabetes ◽  
Insulin Therapy ◽  
Gestational Age ◽  
Temporal Trends ◽  
University Hospital ◽  
Large For Gestational Age ◽  
Z Score ◽  
Glucose Levels ◽  
Obesity And Diabetes

Background. The prevalence of gestational diabetes (GDM) is increasing worldwide. The most important risk of GDM in pregnancy is excessive fetal growth, increasing the risk of complications during delivery as well as long-term complications like obesity and diabetes in both the mother and the offspring. Method. All women with GDM who delivered a singleton between 2004 and 2016 were included. The treatment of GDM patients sought to achieve normal blood glucose levels, primarily by diet and exercise. If the glycemic targets were not reached, insulin therapy was initiated. Birth weight and birth weight Z-score was calculated corrected for gender and gestational age at delivery. Results. The study included 1910 women. The number of GDM women increased significantly each year over the course of the study, as did the proportion requiring insulin therapy. Birth weight and birth weight Z-score fell significantly over the years largely due to a decrease in large for gestational age frequency from 29% to around 19%. Conclusion. During the last 13 years, the number of women diagnosed with GDM has increased. Furthermore, the proportion of GDM women receiving insulin treatment has increased. The birth weight in diet-treated women has been virtually normal for the last 5 years of the reported period.

scholarly journals Gestational Weight Gain Influences Neonatal Outcomes in Women With Obesity and Gestational Diabetes

2021 ◽  
Author(s):  
Ana M Ramos-Levi ◽  
Gemma Rodriguez-Carnero ◽  
Cristina Garcia-Fontao ◽  
Antia Fernandez-Pombo ◽  
Paula Andújar-Plata ◽  
...  
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Gestational Diabetes ◽  
Gestational Weight Gain ◽  
Gestational Age ◽  
Perinatal Outcomes ◽  
Large For Gestational Age ◽  
Gestational Weight ◽  
Increased Risk ◽  
The Impact

Abstract Background. Obesity and gestational diabetes mellitus (GDM) are associated to increased risk of perinatal complications and obesity in the offspring. However, the impact of gestational weight gain (GWG) on maternal and fetal outcomes has led to controversial results. Research design and methods. Retrospective study of 220 women with GDM and pre-pregnancy body mass index (BMI) ≥ 30 kg/m2. Pregnant women were classified according to the Institute of Medicine (IOM) recommendations regarding prior BMI and GWG. We evaluated the impact of GWG on birth weight and perinatal outcomes. Results. Mean maternal age was 34.7±5.3 years. Pre-pregnancy obesity was classified as grade I in 55.3% of cases, grade II in 32.0%, and grade III in 12.7%. GWG was adequate (5-9kg) in 24.2%, insufficient (< 5kg) in 41.8% and excessive (> 9kg) in 34.2%. Birthweight was within normal range in 81.9%, 3.6% were small for gestational age (SGA) and 14.4% were large for gestational age (LGA). Insufficient GWG was associated to a higher rate of SGA offspring, excessive GWG was associated to LGA and adequate GWG to normal birth weight. Conclusion. GWG in women with pre-pregnancy obesity and GDM impacts neonatal birthweight. Insufficient GWG is associated to SGA and excessive GWG is associated to LGA. Women with adequate GWG according to IOM guidelines obtained better perinatal outcomes.

scholarly journals PREDICTION OF FETAL BIRTH WEIGHT BY JOHNSON'S FORMULA & ULTRASONOGRAPHY COMPARED WITH ACTUAL BIRTH WEIGHT

2020 ◽  
pp. 1-2
Author(s):  
K. Thamara Veni ◽  
Gadam Swathi
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Neonatal Morbidity ◽  
Birth Trauma ◽  
Fetal Weight ◽  
Large For Gestational Age ◽  
Accurate Estimation ◽  
Future Health ◽  
Fetal Birth Weight ◽  
Neonatal Problems

INTRODUCTION Birth weight is the greatest single factor which determines the survival of the fetus and future health of neonate. It is an important factor for prediction of neonatal problems. Accurate estimation of fetal weight is of paramount importance in the management of labor and delivery. Fetal weight is also important in assessing whether the fetus is small for gestational age or large for gestational age in order to have a good obstetrical decision making and also to avoid the intra partum distress, birth trauma and thereby to reduce the neonatal morbidity and mortality1.

scholarly journals Protocol for the prospective observational clinical study: estimation of fetal weight by MRI to PREdict neonatal MACROsomia (PREMACRO study) and small-for-gestational age neonates

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e027160 ◽  
Author(s):  
Caroline Kadji ◽  
Mieke M Cannie ◽  
Andrew Carlin ◽  
Jacques C Jani
Keyword(s):  
Birth Weight ◽  
Clinical Study ◽  
Gestational Age ◽  
Good Clinical Practice ◽  
Normal Weight ◽  
Fetal Weight ◽  
University Hospital ◽  
Large For Gestational Age ◽  
Accurate Identification ◽  
Regulatory Requirement

IntroductionMacrosomia refers to growth beyond a specific threshold, regardless of gestational age. These fetuses are also frequently referred to as large for gestational age (LGA). Various cut-offs have been used but for research purposes, a cut-off above the 95th centile for birth weight is often preferred because it defines 90% of the population as normal weight. The use of centiles, rather than estimated weights, also accommodates preterm macrosomic infants, although most of the complications, maternal and fetal, arise during the delivery of large babies at term. This means that accurate identification of LGA fetuses (≥95th centile) may play an important role in guiding obstetric interventions, such as induction of labour or caesarean section. Traditionally, identification of fetuses suspected of macrosomia has been based on biometric measurements using two-dimensional (2D) ultrasound (US), yet this method is rather sub-optimal. We present a protocol (V.2.1, date 19 May 2016) for the estimation of fetal weight (EFW) by MRI to PREdict neonatal MACROsomia (PREMACRO study), which is a prospective observational clinical study designed to determine whether MRI at 36 + 0 to 36 + 6 weeks of gestation, as compared with 2D US, can improve the identification of LGA neonates ≥95th centile.Methods and analysisAll eligible women attending the 36-week clinic will be invited to participate in the screening study for LGA fetuses ≥95th centile and will undergo US-EFW and MRI-EFW within minutes of each other. From these estimations, a centile will be derived which will be compared with the centile of birth weight used as the gold standard. Besides birth weight, other pregnancy and neonatal outcomes will be collected and analysed. The first enrolment for the study was in May 2016. As of September 2018, 2004 women have been screened and recruited to the study. The study is due to end in April 2019.Ethics and disseminationThe study will be conducted in accordance with the International Conference on Harmonisation for good clinical practice and the appropriate regulatory requirement(s). A favourable ethical opinion was obtained from the Ethics Committee of the University Hospital Brugmann, reference number CE2016/44. Results will be published in peer-reviewed journals and disseminated at international conferences.Trial registration numberNCT02713568.

scholarly journals Accuracy of Ultrasound Estimated Fetal Weight in Small for Gestational Age and Appropriate for Gestational Age Grown Periviable Neonates

2017 ◽  
Vol 35 (08) ◽  
pp. 703-706
Author(s):  
Katherine Himes ◽  
Adriane Haragan
Keyword(s):  
Birth Weight ◽  
Study Design ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Fetal Weight ◽  
Percentage Difference ◽  
Appropriate For Gestational Age ◽  
Absolute Percentage Difference ◽  
The Mean ◽  
Estimated Fetal Weight

Objective Clinicians use estimated fetal weight (EFW) as a proxy for birth weight (BW) in the antenatal period. Our objective was to compare the accuracy of EFW obtained by ultrasound to BW among infants born during the periviable period and determine if accuracy of EFW varied among small for gestational age (SGA) versus appropriate for gestational age (AGA) grown neonates. Study Design We included women who delivered between 230/7 and 256/7 weeks' gestation and had an EFW within 7 days of delivery. Mean percentage difference and median absolute percentage difference between EFW and BW were calculated. Results Our cohort included 226 neonates with a mean gestational age of 241/7 ± 0.8 weeks and median BW of 653 g (interquartile range [IQR]: 580–750 g). The median absolute percentage difference between EFW and BW of fetal weight estimates was 9.2% (IQR: 3.6–17.2). EFW overestimated BW for 75% (n = 171) of the cohort. Among SGA infants, the mean percentage difference in EFW and BW was 16.2 ± 19.4% versus 6.9% ± 13.1% in AGA infants (p = 0.019). Conclusion EFW overestimated BW in this cohort. In addition, ultrasound was less accurate among infants born SGA. These data are important to consider when counseling families facing periviable delivery.

Fetal Macrosomia

2019 ◽  
Author(s):  
Caitlin Clifford ◽  
Andrea G. Edlow
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Neonatal Morbidity ◽  
Developed Countries ◽  
Shoulder Dystocia ◽  
Fetal Weight ◽  
Fetal Macrosomia ◽  
Large For Gestational Age ◽  
Obesity Epidemic ◽  
Adverse Pregnancy

Excessive fetal growth and increased birth weight are associated with significant maternal and neonatal morbidity and have become increasingly common given the global obesity epidemic.  Fetal macrosomia is traditionally defined in developed countries as fetal weight greater than 4,000 grams or 4,500 grams regardless of gestational age.  Large-for-gestational-age is traditionally defined as birth weight equal to or greater than the ninetieth percentile for a given gestational age.  Both are associated with a continuum of risk for complications, including shoulder dystocia, birth trauma, stillbirth, and infant mortality.  Diabetes is strongly associated with macrosomia, and control of maternal hyperglycemia has been proven to decrease rates of macrosomia and associated adverse pregnancy outcomes. Pregnancy-based interventions to minimize gestational weight gain have failed to consistently demonstrate a significant impact on macrosomia. This review contains 5 tables, and 77 references. Keywords: pregnancy, macrosomia, large for gestational age, estimated fetal weight, diabetes, obesity, shoulder dystocia, cesarean delivery, stillbirth

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