scholarly journals A first trimester prediction model for large for gestational age infants: a preliminary study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Francesca Monari ◽  
Daniela Menichini ◽  
Ludovica Spano’ Bascio ◽  
Giovanni Grandi ◽  
Federico Banchelli ◽  
...  
Keyword(s):  
Prediction Model ◽  
Gestational Age ◽  
Predictive Accuracy ◽  
First Trimester ◽  
University Hospital ◽  
Large For Gestational Age ◽  
Aneuploidy Screening ◽  
Maternal Characteristics ◽  
Targeted Interventions ◽  
Increased Risk

Abstract Background Large for gestational age infants (LGA) have increased risk of adverse short-term perinatal outcomes. This study aims to develop a multivariable prediction model for the risk of giving birth to a LGA baby, by using biochemical, biophysical, anamnestic, and clinical maternal characteristics available at first trimester. Methods Prospective study that included all singleton pregnancies attending the first trimester aneuploidy screening at the Obstetric Unit of the University Hospital of Modena, in Northern Italy, between June 2018 and December 2019. Results A total of 503 consecutive women were included in the analysis. The final prediction model for LGA, included multiparity (OR = 2.8, 95% CI: 1.6–4.9, p = 0.001), pre-pregnancy BMI (OR = 1.08, 95% CI: 1.03–1.14, p = 0.002) and PAPP-A MoM (OR = 1.43, 95% CI: 1.08–1.90, p = 0.013). The area under the ROC curve was 70.5%, indicating a satisfactory predictive accuracy. The best predictive cut-off for this score was equal to − 1.378, which corresponds to a 20.1% probability of having a LGA infant. By using such a cut-off, the risk of LGA can be predicted in our sample with sensitivity of 55.2% and specificity of 79.0%. Conclusion At first trimester, a model including multiparity, pre-pregnancy BMI and PAPP-A satisfactorily predicted the risk of giving birth to a LGA infant. This promising tool, once applied early in pregnancy, would identify women deserving targeted interventions. Trial registration ClinicalTrials.gov NCT04838431, 09/04/2021.

scholarly journals A First Trimester Prediction Model for Large for Gestational Age Infants: A Preliminary Study

2021 ◽  
Author(s):  
Francesca Monari ◽  
Daniela Menichini ◽  
Ludovica Spano’ Bascio ◽  
Giovanni Grandi ◽  
Federico Banchelli ◽  
...  
Keyword(s):  
Prediction Model ◽  
Gestational Age ◽  
Predictive Accuracy ◽  
Perinatal Outcomes ◽  
First Trimester ◽  
University Hospital ◽  
Large For Gestational Age ◽  
Aneuploidy Screening ◽  
Maternal Characteristics ◽  
Targeted Interventions

Abstract Background: Large for gestational age infants (LGA) have increased risks of adverse short-term perinatal outcomes. This study aims to develop a multivariable prediction model for the risk of giving birth to a LGA baby, by using biochemical, biophysical, anamnestic, and clinical maternal characteristics available at first trimester.Methods: Prospective study that included all singleton pregnancies attending the first trimester aneuploidy screening at the Obstetric Unit of the University Hospital of Modena, in Northern Italy, between June 2018 and December 2019. Results: A total of 503 consecutive women were included in the analysis. The final prediction model for LGA, included multiparity (OR = 2.8, 95%; CI: 1.6 - 4.9, p=0.001), pre-pregnancy BMI (OR = 1.08. 95% CI 1.03 – 1.14, p=0,002) and PAPP-A MoM (OR = 1.43 95% CI 1.08 – 1.90, p=0.013). The area under the ROC curve was 70.5%, indicating a satisfactory predictive accuracy. The best predictive cut-off for this score was equal to -1.378, which corresponds to a 20.1% probability of having a LGA infant. By using such a cut-off, the risk of LGA can be predicted in our sample with sensitivity of 55.2% and specificity of 79.0%.Conclusion: At first trimester, a model including multiparity, pre-pregnancy BMI and PAPP-A satisfactory predicted the risk of giving birth to a LGA infant. This promising tool, once applied early in pregnancy, would identify women for targeted interventions.Trial registration: NCT04838431

High Fetal Fraction on First Trimester Cell-Free DNA Aneuploidy Screening and Adverse Pregnancy Outcomes

2019 ◽  
Vol 37 (01) ◽  
pp. 008-013 ◽  
Author(s):  
Lydia L. Shook ◽  
Mark A. Clapp ◽  
Penelope S. Roberts ◽  
Sarah N. Bernstein ◽  
Ilona T. Goldfarb
Keyword(s):  
Preterm Birth ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
First Trimester ◽  
Hypertensive Disorders Of Pregnancy ◽  
Aneuploidy Screening ◽  
Hypertensive Disorders ◽  
Increased Risk ◽  
Adverse Pregnancy ◽  
Fetal Fraction

Abstract Objective To test the hypothesis that high fetal fraction (FF) on first trimester cell-free deoxyribonucleic acid (cfDNA) aneuploidy screening is associated with adverse perinatal outcomes. Study Design This is a single-institution retrospective cohort study of women who underwent cfDNA screening at <14 weeks' gestation and delivered a singleton infant between July 2016 and June 2018. Women with abnormal results were excluded. Women with high FF (≥95th percentile) were compared with women with normal FF (5th–95th percentiles). Outcomes investigated were preterm birth, small for gestational age, and hypertensive disorders of pregnancy. Results A total of 2,033 women met inclusion criteria. The mean FF was 10.0%, and FF >16.5% was considered high (n = 102). Women with high FF had a greater chance of delivering a small for gestational age infant <fifth percentile, with an adjusted odds ratio of 2.4 (95% confidence interval: 1.1–4.8, p = 0.039). There was no significant association between high FF and either preterm birth or hypertensive disorders of pregnancy. Conclusion Women with a high FF in the first trimester are at increased risk of delivering a small for gestational age infant <fifth percentile. Further investigation into the clinical implications of a high FF is warranted.

scholarly journals The Relationship Between First-Trimester Aneuploidy Markers and Birth Weight

2021 ◽  
pp. 1-6
Author(s):  
Cenk Soysal ◽  
İsmail Biyik ◽  
Özlem Erten ◽  
Onur Ince ◽  
Hatice Sari ◽  
...  
Keyword(s):  
Plasma Protein ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Protein A ◽  
First Trimester ◽  
Nuchal Translucency ◽  
Maternal Serum ◽  
Large For Gestational Age ◽  
Aneuploidy Screening ◽  
Beta Human Chorionic Gonadotropin

OBJECTIVE: We aimed to determine the relationship between the first-trimester aneuploidy screeningma and the predicted weight at birth: Small for gestational age and large for gestational age. STUDY DESIGN: 594 low-risk pregnant women with a singleton pregnancy, who underwent first-trimester aneuploidy screening by measuring nuchal translucency, maternal serum free beta-human chorionic gonadotropin, and pregnancy-associated plasma protein-A were included in the study. Those weighing above the 3rd percentile and below the 10th percentile were defined as small for gestational age, and those over the 90th percentile were defined as large for gestational age. RESULTS: A total of 594 pregnant women were enrolled. The mean maternal age of the studied group was 28.8±5.5 years. Low maternal serum pregnancy-associated plasma protein-A levels and decreased nuchal translucency measurements were associated with the small for gestational age newborn (p<0.001 and p=0.001, respectively). There is a significant correlation with large for gestational age for newborns only with an increase in maternal serum pregnancy-associated plasma protein-A levels (p=0.001). beta-human chorionic gonadotropin levels were not associated with the birth weight (p=0.735). CONCLUSION: Maternal serum pregnancy-associated plasma protein-A levels, one of the markers in first-trimester aneuploidy screening, can be used in the prediction of small for gestational age and large for gestational age However, due to its low correlation, it is not a suitable screening test for clinical practice.

Maternal characteristics and the distribution of birthweight standardized for gestational age

1987 ◽  
Vol 19 (1) ◽  
pp. 17-26 ◽  
Author(s):  
R. M. Pickering
Keyword(s):  
Gestational Age ◽  
Perinatal Death ◽  
Large For Gestational Age ◽  
Maternal Factors ◽  
Maternal Characteristics ◽  
Live Births ◽  
Class A ◽  
Routinely Collected Data ◽  
Increased Risk ◽  
History Of

SummaryUsing routinely collected data for 184,000 Scottish singleton live births in 1980–82, nine maternal factors were related to changes in the distribution of birthweight for given gestational age. Maternal height and marital status were associated with overall shifts in the distribution. In contrast, social class, a previous perinatal death or two or more previous spontaneous abortions in multiparae were primarily associated with increased risk of a small-for-gestational-age infant. A history of caesarean section or three or more previous live births was associated with increased risk of a large-for-gestational-age infant. The results of this population study were generally consistent with reported hospital-based findings.

scholarly journals Large Reduction in Adiponectin During Pregnancy Is Associated With Large-for-Gestational-Age Newborns

2017 ◽  
Vol 102 (7) ◽  
pp. 2552-2559 ◽  
Author(s):  
Tove Lekva ◽  
Marie Cecilie Paasche Roland ◽  
Annika E. Michelsen ◽  
Camilla Margrethe Friis ◽  
Pål Aukrust ◽  
...  
Keyword(s):  
Birth Weight ◽  
Mrna Expression ◽  
Gestational Age ◽  
Messenger Rna ◽  
University Hospital ◽  
Abdominal Circumference ◽  
Large For Gestational Age ◽  
Oral Glucose ◽  
Intrauterine Environment ◽  
Increased Risk

Abstract Context: Fetuses exposed to an obese intrauterine environment are more likely to be born large-for-gestational age (LGA) and are at increased risk of obesity in childhood and cardiovascular disease and/or type 2 diabetes mellitus as adults, but which factors that influence the intrauterine environment is less clear. Objective: To investigate the association between circulating levels of leptin and adiponectin, measured multiple times during pregnancy, and birth weight and prevalence of LGA or small-for-gestational-age infants. The association between birth weight and messenger RNA (mRNA) expression of adiponectin receptors and genes involved in nutrient transport in the placenta was also investigated. Design: Population-based prospective cohort [substudy of the STORK study (STORe barn og Komplikasjoner, translated as Large Babies and Complications)] from 2001 to 2008. Setting: University hospital. Patients or other participants: 300 women. Main Outcome Measures: Oral glucose tolerance test was performed twice along with adiponectin and leptin levels measured four times during pregnancy. Results: Circulating adiponectin was lower in mothers who gave birth to LGA offspring or had fetuses with high intrauterine abdominal circumference late in pregnancy. Adiponectin decreased most from early to late pregnancy in mothers who gave birth to LGA offspring, and the decrease was an independent predictor of birth weight. Adiponectin receptor 2 and system A amino acid transporter mRNA expression in placentas was negatively correlated with birth weight and was lower in placentas from LGA infants. Conclusions: Our findings suggest that maternal adiponectin may be an important predictor of fetal growth and birth weight, independent of body mass index and insulin resistance.

Perinatal outcomes in women affected by different types of headache disorders: A prospective cohort study

Cephalalgia ◽  
2021 ◽  
pp. 033310242110292
Author(s):  
Isabella Neri ◽  
Daniela Menichini ◽  
Francesca Monari ◽  
Ludovica Spanò Bascio ◽  
Federico Banchelli ◽  
...  
Keyword(s):  
Migraine With Aura ◽  
Gestational Age ◽  
Small For Gestational Age ◽  
Migraine Without Aura ◽  
Perinatal Outcomes ◽  
First Trimester ◽  
Tension Type Headache ◽  
Headache Disorders ◽  
Aneuploidy Screening ◽  
Type Headache

Objective This study aims to investigate pregnancy and perinatal outcomes in women with tension-type headache, migraine without aura and migraine with aura by comparing them to women without any headache disorders. Study design Prospective cohort study including singleton pregnancies attending the first trimester aneuploidy screening at the University Hospital of Modena, in Northern Italy, between June 2018 and December 2019. Results A total of 515 consecutive women were included and headache disorders were reported in 43.5% of them (224/515). Tension-type headache was diagnosed in 24.3% of the cases, while 14% suffered from migraine without aura and 5.2% from migraine with aura. Birthweight was significantly lower in women affected by migraine with aura respective to other groups, and a significantly higher rate of small for gestational age infants was found in tension-type headache (10.4%) and in migraine with aura (24.9%) groups respective to the others (p < 0.001). Moreover, the admission to the neonatal intensive care unit was significantly higher in all the headache groups (p = 0.012). Multivariate analysis showed that women presenting tension-type headache (OR 4.19, p = 0.004), migraine with aura (OR 5.37, p = 0.02), a uterine artery pulsatility index >90th centile (OR 3.66, p = 0.01), low multiple of the median (MoM) of Pregnancy-associated plasma protein-A (PAPP-A) (OR 0.48, p = 0.05) and high MoM of Inhibin-A (OR 3.24, p = 0.03) at first trimester, are independently associated with the delivery of small for gestational age infants when compared to women without headache disorders. Conclusion Migraine with aura and tension type headache expose women to an increased risk of delivering small for gestational age infants, in association with some utero-placenta markers evaluated at first trimester. These women with headache disorders have an additional indication to undergo first trimester aneuploidy screening and would possibly benefit from specific interventions.

scholarly journals Factors associated with small- and large-for-gestational-age in socioeconomically vulnerable individuals in the 100 Million Brazilian Cohort

2021 ◽  
Author(s):  
Ila R Falcão ◽  
Rita de Cássia Ribeiro-Silva ◽  
Marcia Furquim de Almeida ◽  
Rosemeire L Fiaccone ◽  
Natanael J Silva ◽  
...  
Keyword(s):  
Gestational Age ◽  
Multinomial Logistic Regression ◽  
Mixed Race ◽  
Sociodemographic Factors ◽  
Reproductive Age ◽  
Large For Gestational Age ◽  
Maternal Characteristics ◽  
Factors Associated ◽  
Study Population ◽  
Brazilian Populations

ABSTRACT Background Evidence points to diverse risk factors associated with small- (SGA) and large-for-gestational-age (LGA) births. A more comprehensive understanding of these factors is imperative, especially in vulnerable populations. Objectives To estimate the occurrence of and sociodemographic factors associated with SGA and LGA births in poor and extremely poor populations of Brazil. Methods The study population consisted of women of reproductive age (14–49 y), whose last child was born between 2012 and 2015. INTERGROWTH 21st consortium criteria were used to classify weight for gestational age according to sex. Multinomial logistic regression modeling was performed to investigate associations of interest. Results Of 5,521,517 live births analyzed, SGA and LGA corresponded to 7.8% and 17.1%, respectively. Multivariate analysis revealed greater odds of SGA in children born to women who self-reported as black (OR: 1.21; 95% CI: 1.19, 1.22), mixed-race (parda) (OR: 1.08; 95% CI: 1.07, 1.09), or indigenous (OR: 1.11; 95% CI: 1.06, 1.15), were unmarried (OR: 1.08; 95% CI: 1.07, 1.08), illiterate (OR: 1.47; 95% CI: 1.42, 1.52), did not receive prenatal care (OR: 1.57; 95% CI: 1.53, 1.60), or were aged 14–20 y (OR: 1.21; 95% CI: 1.20, 1.22) or 35–49 y (OR: 1.12; 95% CI: 1.10, 1.13). Considering LGA children, higher odds were found in infants born to women living in households with ≥3 inadequate housing conditions (OR: 1.11; 95% CI: 1.10, 1.12), in indigenous women (OR: 1.22; 95% CI: 1.19, 1.25), those who had 1–3 y of schooling (OR: 1.18; 95% CI: 1.17, 1.19), 1–3 prenatal visits (OR: 1.16; CI 95%: 1.14, 1.17), or were older (OR: 1.26; 95% CI: 1.25, 1.27). Conclusions In poorer Brazilian populations, socioeconomic, racial, and maternal characteristics are consistently associated with the occurrence of SGA births, but remain less clearly linked to the occurrence of LGA births.

scholarly journals Evaluation of Pregnancy Outcomes at Advanced Maternal Age

2019 ◽  
Vol 7 (12) ◽  
pp. 1951-1956 ◽  
Author(s):  
Małgorzata Radoń-Pokracka ◽  
Beata Adrianowicz ◽  
Magdalena Płonka ◽  
Paulina Danił ◽  
Magdalena Nowak ◽  
...  
Keyword(s):  
Caesarean Section ◽  
Gestational Age ◽  
Maternal Age ◽  
Statistical Significance ◽  
Advanced Maternal Age ◽  
Neonatal Outcomes ◽  
University Hospital ◽  
Large For Gestational Age ◽  
Predisposing Factor ◽  
Over 40 Years

AIM: The study aimed to investigate the association between advanced maternal age (AMA) and the risk of adverse maternal, perinatal and neonatal outcomes about parity in singleton pregnancies.METHODS: We retrospectively analysed 950 women who gave birth in the Department of Obstetrics and Perinatology of the University Hospital in Kraków for six months (between 1st January and 30th June 2018). The patients were divided into 3 groups according to their age (30-34 years old, 35-39 years old and over 40 years old). Each of these groups was subsequently subdivided into 2 groups depending on parity (primiparae and multiparae). Maternal, perinatal and neonatal outcomes were compared between the groups and the subgroups.RESULTS: Comparison of the three age groups revealed that advanced maternal age might constitute a predisposing factor for preterm birth, caesarean section and large for gestational age (LGA). From these parameters, statistical significance was reached in case of greater risk of LGA (OR = 2.17), caesarean section (OR = 2.03) and elective C-section (OR = 1.84) in women over 40 years old when compared to the patients aged 30-34. Furthermore, AMA increases the risk of postpartum haemorrhage (OR = 6.43). Additionally, there is a negative correlation between maternal age and gestational age at delivery (R = -0.106, p < 0.05).CONCLUSIONS: Advanced maternal age can undoubtedly be associated with several adverse perinatal outcomes. At the same time, the risk of perinatal complications begins to increase after the age of 35 but becomes significant in women aged ≥ 40.

scholarly journals Prediction of Healthy Pregnancy Outcomes in Women with Overweight and Obesity: The Role of Maternal Early-Pregnancy Metabolites

Metabolites ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
Rama J. Wahab ◽  
Vincent W. V. Jaddoe ◽  
Romy Gaillard
Keyword(s):  
Pregnancy Outcome ◽  
Early Pregnancy ◽  
Pregnancy Outcomes ◽  
Gestational Hypertension ◽  
Characteristic Curve ◽  
Overweight And Obesity ◽  
Large For Gestational Age ◽  
Maternal Characteristics ◽  
Healthy Pregnancy ◽  
Increased Risk

Women with obesity receive intensified antenatal care due to their increased risk of pregnancy complications, even though not all of these women develop complications. We developed a model based on maternal characteristics for prediction of healthy pregnancy outcomes in women with obesity or who are overweight. We assessed whether early-pregnancy metabolites improved prediction. In a population-based cohort study among a subsample of 1180 Dutch pregnant women with obesity or who are overweight, we developed a prediction model using 32 maternal socio-demographic, lifestyle, physical and pregnancy-related characteristics. We determined early-pregnancy amino acids, nonesterifed fatty acids, phospholipids and carnitines in blood serum using liquid chromatography-tandem mass spectrometry. A healthy pregnancy outcome was the absence of fetal death, gestational hypertension, preeclampsia, gestational diabetes, caesarian section, preterm birth, large-for-gestational-age at birth, macrosomia, postpartum weight retention and offspring overweight/obesity at 5 years. Maternal age, relationship status, parity, early-pregnancy body mass index, mid-pregnancy gestational weight gain, systolic blood pressure and estimated fetal weight were selected into the model using backward selection (area under the receiver operating characteristic curve: 0.65 (95% confidence interval 0.61 to 0.68)). Early-pregnancy metabolites did not improve model performance. Thus, in women with obesity or who are overweight, maternal characteristics can moderately predict a healthy pregnancy outcome. Maternal early-pregnancy metabolites have no incremental value in the prediction of a healthy pregnancy outcome.

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