Prevalence Of Small For Gestational Age Research Articles

Increasing Preterm Delivery and Small for Gestational Age Trends in South Carolina during the COVID-19 Pandemic.

Preterm delivery (PTD) complications are a major cause of childhood morbidity and mortality. We aimed to assess trends in PTD and small for gestational age (SGA) and whether trends varied between race-ethnic groups in South Carolina (SC). We utilized 2015-2021 SC vital records linked to hospitalization and emergency department records. PTD was defined as clinically estimated gestation less than (<) 37 weeks (wks.) with subgroup analyses of PTD < 34 wks. and < 28 wks. SGA was defined as infants weighing below the 10th percentile for gestational age. This retrospective study included 338,532 (243,010 before the COVID-19 pandemic and 95,522 during the pandemic) live singleton births of gestational age ≥ 20 wks. born to 260,276 mothers in SC. Generalized estimating equations and a change-point during the first quarter of 2020 helped to assess trends. In unadjusted analyses, pre-pandemic PTD showed an increasing trend that continued during the pandemic (relative risk (RR) = 1.04, 95% CI: 1.02-1.06). PTD < 34 wks. rose during the pandemic (RR = 1.07, 95% CI: 1.02-1.12) with a significant change in the slope. Trends in SGA varied by race and ethnicity, increasing only in Hispanics (RR = 1.02, 95% CI: 1.00-1.04) before the pandemic. Our study reveals an increasing prevalence of PTD and a rise in PTD < 34 wks. during the pandemic, as well as an increasing prevalence of SGA in Hispanics during the study period.

How to enhance the applicability of a risk prediction model for term small-for-gestational-age neonates in clinical settings?

To construct a simple term small-for-gestational-age (SGA) neonate prediction model that is clinically practical. This analysis was based on the Born in Guangzhou Cohort Study (BIGCS). Mothers who had a singleton pregnancy, delivered a term neonate, and had an ultrasonography within 30 + 0 to 32 + 6 weeks of gestation were included. Term SGA was defined with customized population percentiles. Prediction models were constructed with backward selection logistic regression in a four-step approach, where model 1 contained fetal biometrics only, models 2 and 3 included maternal features and a time factor (weeks between ultrasonography and delivery), respectively; and model 4 contained all features mentioned. The prediction performance of individual models was evaluated based on area under the curve (AUC) and a calibration test was performed. The prevalence of SGA in the study population of 21 346 women was 11.5%. With a complete-case analysis approach, data of 19 954 women were used for model construction and validation. The AUC of the four models were 0.781, 0.793, 0.823, and 0.834, respectively, and all were well-calibrated. Model 3 consisted of fetal biometrics and corrected for time to delivery was chosen as the final model to build risk prediction graphs for clinical use. A prediction model derived from fetal biometrics in early third trimester is satisfactory to predict SGA.

Secular trends of low birth weight, preterm birth, and small for gestational age in Shanghai from 2004 to 2020: an age-period-cohort analysis

BackgroundAlthough highly heterogeneous among countries, the incidence rates of low birth weight (LBW), preterm birth (PTB), and small for gestational age (SGA) have been increasing globally over the past two decades. To better understand the cause of these secular trends, this study aimed to investigate the effects of age, period, and birth cohort on LBW, PTB, and SGA rates in Shanghai.MethodsData from 2,958,695 singleton live births at 24–41 gestational weeks between 2004 and 2020 were obtained for this study. Age-period-cohort models based on Poisson regression were used to evaluate the independent effects of maternal age, delivery period, and maternal birth cohort on the trends in LBW, PTB, and SGA.ResultsThe overall prevalence rates of LBW, PTB, and SGA were 2.9%, 4.7%, and 9.3%, respectively, and significant changes were observed (average annual change: + 10.7‰, + 9.1‰, -11.9‰) from 2004 to 2020. Cohort effect increased steadily, from 1960 (risk ratio [RR] = 0.71, 95% confidence interval [CI]: 0.65–0.78) to 1993 (RR = 0.97, 95% CI: 0.94–1.01) for LBW and from 1960 (RR = 0.69, 95% CI: 0.64–0.75) to 2004 (RR = 1.02, 95% CI: 0.94–1.12) for PTB. A strong cohort effect was found with the highest risk of SGA (RR = 1.82, 95% CI: 1.72–1.93) in 1960 and the lowest risk (RR = 0.57, 95% CI: 0.54–0.61) in 2004, compared with the reference cohort of 1985. There was a “U-shaped” maternal age effect on LBW and PTB and a weak period effect on the three birth outcomes.ConclusionsOur findings suggested a significant independent effect of age, period, and birth cohort on the three birth outcomes. The increasing rates of LBW and PTB motivated us to focus on young and advanced pregnant women. Meanwhile, the prevalence of SGA decreased steadily, illustrating the need for further research on the mechanisms underlying these trends.

The Prevalence of Small for Gestational Age and Extrauterine Growth Restriction among Extremely and Very Preterm Neonates, Using Different Growth Curves, and Its Association with Clinical and Nutritional Factors.

Monitoring the growth of neonates in the Neonatal Intensive Care Unit (NICU) using growth charts constitutes an essential part of preterm infant care. Preterm infants are at increased risk for extrauterine growth restriction (EUGR) due to increased energy needs and clinical complications. This retrospective study compares the prevalence of small for gestational age (SGA) at birth and EUGR at discharge in extremely and very preterm neonates hospitalized in the NICU of a tertiary hospital in Greece, using different growth curves, and it examines the associated nutritional and clinical factors. Fenton2013 and INTERGROWTH-21st growth curves were used to calculate z-scores of birth weight (BW) and weight, length, and head circumference at discharge. The study includes 462 newborns with a mean BW of 1341.5 g and mean GA of 29.6 weeks. At birth, 6.3% of neonates were classified as SGA based on Fenton2013 curves compared to 9.3% with INTERGROWTH-21st growth curves. At discharge, 45.9% of neonates were characterized as having EUGR based on the Fenton2013 weight curves and 29.2% were characterized based οn INTERGROWTH-21st curves. Nutritional factors such as the day of initiation, attainment of full enteral feeding, and the duration of parenteral nutrition were associated with EUGR by both curves. The prevalence of SGA and EUGR neonates differs between the two growth references. This shows that further evaluation of these charts is needed to determine the most appropriate way to monitor infant growth.

P-778 Same mother-different Oocyte: Comparison of obstetric and perinatal outcomes between pregnancies achieved through oocyte donation versus those achieved through spontaneous conception for the same mother

Abstract Study question Is there a difference in obstetrical and perinatal outcomes between pregnancies achieved through oocyte donation versus those achieved through spontaneous conception for the same mother Summary answer OD pregnancies show higher incidences of preterm labor and pregnancy-induced hypertension, and lower incidences of small for gestational age, compared to spontaneous pregnancies What is known already Oocyte donation (OD) is an integral part of modern assisted reproductive care and has been used for over three decades. OD pregnancies have an increased rate of hypertension, cesarean section, and preterm labor. Yet most of these complications are attributed to the mothers going through OD, not to the biological effect of different oocyte sources (autologous Vs. donation). Study design, size, duration This study is a retrospective cohort study that utilizes electronic data from Maccabi Healthcare Services. This 2.5-million-patient integrated care organization represents 25% of the pregnant population in the country. The data used in this study were collected from 2000 through 2018. Participants/materials, setting, methods The study included mothers who experienced both a spontaneous conception (SP) pregnancy and later an oocyte donation (OD) pregnancy. The study compared obstetric and perinatal outcomes, including the incidence of preterm labor (PTL) and small for gestational age (SGA). Mother's obstetric outcomes such as pregnancy induced hypertension (PIH), gestational diabetes, malpresentation, and postpartum hemorrhage were also analyzed. A paired t-test was performed to compare each outcome for the same mother Main results and the role of chance The cohort included 194 mothers who had a first spontaneous pregnancy and a second pregnancy with oocyte donation. The mean age of the mother during her OD pregnancy was statistically older than the OD pregnancy (mean difference 2.2 years, p = 0.0028). No difference was found between pregnancies regarding the BMI (p = 0.216). A trend toward a higher prevalence of PIH was found in the OD pregnancy compared to the SP (mean difference 2.5, p = 0.058). No difference was found between pregnancies regarding gestational diabetes (p = 0.7), malpresentation (p = 1), retained placenta (p = 0.318), and Cesarean section (p = 0.565). Perinatal outcomes show a higher prevalence of premature labor before the 34th week and 32nd week in the OD pregnancies compared to SC pregnancies (mean difference 3.6, p = 0.034 and mean difference 3, p = 0.33 respectively). No difference was found between pregnancies regarding labor before the 37th week (p = 1). A statistically lower prevalence of SGA was found in the OD pregnancy compared to the SP (p = 0.0057). Limitations, reasons for caution Due to its retrospective character, some information is lacking. Information regarding indications leading to OD/AO are missing which might have elaborated our findings Wider implications of the findings OD pregnancies should be considered high-risk, primarily due to the increased risk of PTL and PIH. Adequate recommendations should be considered, including cervical length surveillance, frequent blood pressure measurements, and perhaps prophylactic low-dose aspirin to reduce the risk of preeclampsia. Trial registration number 0046-18-BBL

Neighborhood Food Environment and Birth Weight Outcomes in New York City

Infants born with unhealthy birth weight are at greater risk for long-term health complications, but little is known about how neighborhood characteristics (eg, walkability, food environment) may affect birth weight outcomes. To assess whether neighborhood-level characteristics (poverty rate, food environment, and walkability) are associated with risk of unhealthy birth weight outcomes and to evaluate whether gestational weight gain mediated these associations. The population-based cross-sectional study included births in the 2015 vital statistics records from the New York City Department of Health and Mental Hygiene. Only singleton births and observations with complete birth weight and covariate data were included. Analyses were performed from November 2021 to March 2022. Residential neighborhood-level characteristics, including poverty, food environment (healthy and unhealthy food retail establishments), and walkability (measured by both walkable destinations and a neighborhood walkability index combining walkability measures like street intersection and transit stop density). Neighborhood-level variables categorized into quartiles. The main outcomes were birth certificate birth weight measures including small for gestational age (SGA), large for gestational age (LGA), and sex-specific birth weight for gestational age z-score. Generalized linear mixed-effects models and hierarchical linear models estimated risk ratios for associations between density of neighborhood-level characteristics within a 1-km buffer of residential census block centroid and birth weight outcomes. The study included 106 194 births in New York City. The mean (SD) age of pregnant individuals in the sample was 29.9 (6.1) years. Prevalence of SGA and LGA were 12.9% and 8.4%, respectively. Residence in the highest density quartile of healthy food retail establishments compared with the lowest quartile was associated with lower adjusted risk of SGA (with adjustment for individual covariates including gestational weight gain z-score: risk ratio [RR], 0.89; 95% CI 0.83-0.97). Higher neighborhood density of unhealthy food retail establishments was associated with higher adjusted risk of delivering an infant classified as SGA (fourth vs first quartile: RR, 1.12; 95% CI, 1.01-1.24). The RR for the association between density of unhealthy food retail establishments and risk of LGA was higher after adjustment for all covariates in each quartile compared with quartile 1 (second: RR, 1.12 [95% CI, 1.04-1.20]; third: RR, 1.18 [95% CI, 1.08-1.29]; fourth: RR, 1.16; [95% CI, 1.04-1.29]). There were no associations between neighborhood walkability and birth weight outcomes (SGA for fourth vs first quartile: RR, 1.01 [95% CI, 0.94-1.08]; LGA for fourth vs first quartile: RR, 1.06 [95% CI, 0.98-1.14]). In this population-based cross-sectional study, healthfulness of neighborhood food environments was associated with risk of SGA and LGA. The findings support use of urban design and planning guidelines to improve food environments to support healthy pregnancies and birth weight.

Spatial distribution and secular trend (1991-2014) of small for gestational age infants born in Jujuy.

Introduction. A fetus that does not reach the expected growth potential in utero is considered small for gestational age (SGA). Such restriction depends on genetic and/or environmental factors, being altitude a very relevant factor. This study analyzes the spatial distribution of the prevalence of SGA and its secular trend in Jujuy (1991-2014). Materials and methods. The records of 308 469 live births in Jujuy (Health Statistics and Information Department) were analyzed. The prevalence of SGA (weight/gestational age < P10 and < P3) was estimated for sex according to the INTERGROWTH-21st standard in the ecoregions of Jujuy (Valle and Ramal -less than 2000 MASL-, Puna, and Quebrada) across 3 periods (1991-2000, 2001-2009, 2010-2014) and proportions were compared. The secular trend was assessed using the Joinpoint regression analysis. Results. The overall prevalence of SGA was 2.3% (< P3) and 7% (< P10). Significantly higher values were observed in Puna and Quebrada in both SGA categories and across all periods. Only in Valle, significant differences were observed between sexes across all periods. The prevalence of SGA showed a significant downward secular trend at a provincial and regional level, and this was greater in Quebrada (5.2% < P3 and 3.5% < P10). Conclusions. A consistent and significant decrease in the prevalence of SGA has been observed since the 1990s in Jujuy, where altitude is itself a determining factor of size at birth, since the Puna and Quebrada regions showed the highest prevalence of SGA during the entire period.

Maternal and Placental Risk Factors for Small Gestational Age and Fetal Malnutrition.

This case-control study was conducted to identify maternal and placental risk factors of small-for-gestational-age (SGA) and fetal malnutrition. Cases comprised 104 consecutively delivered SGA neonates (determined as per INTERGROWTH- 21st standard). An equal number of next-born gestation and gender-matched appropriatefor- gestational age (AGA) neonates served as controls. Maternal risk factors were enquired, and placentae were evaluated by clinical and histopathological examination. Nutrition of the neonates was assessed by the clinical assessment of nutrition (CAN) score. Univariate and multivariate logistic regression analysis was done to identify the maternal and placental risk factors. The prevalence of SGA in the present study was 23.9%. Maternal fever [adjusted Odds Ratio (aOR), 95% confidence interval (CI), 16.3 (3.5-124.1); p = 0.001], presence of placental syncytial knots [aOR (95% CI), 2.9 (1.1-9.1); p = 0.04] and placental calcifications [aOR (95% CI), 3(1.1- 8.7); p = 0.03], were identified as independent predictors of SGA using multivariate logistic regression analysis. Malnutrition (SCORE <25) affected 64% of SGA and 16.3% of AGA neonates. The only risk factor significantly associated with malnourished SGA was prematurity, whereas malnourished AGA was significantly associated with prematurity and fetal distress. In-hospital morbidities significantly higher in SGA were perinatal asphyxia, respiratory distress, need for respiratory support, polycythemia, hypoglycemia, and feeding intolerance. Mortality before discharge was 4.8% and 3.8% in SGA and AGA population, respectively (p > 0.05). Neonatal outcomes were comparable among well-nourished, malnourished SGA and AGA groups. Maternal fever, placental syncytial knots, and calcifications were independent risk factors of SGA, whereas prematurity and fetal distress were responsible for malnutrition.

Is mid-gestational uterine artery Doppler still useful in a setting with routine first-trimester pre-eclampsia screening? A cohort study.

To evaluate whether routine mid-gestational uterine artery Doppler (UtAD) modifies the risk for preterm pre-eclampsia after first-trimester combined pre-eclampsia screening. Retrospective cohort study. London Tertiary Hospital. A cohort of 7793 women with singleton pregnancies, first-trimester pre-eclampsia screening using the Fetal Medicine Foundation (FMF) algorithm and UtAD pulsatility index (PI) assessment at the mid-gestation ultrasound. Pregnancies were divided into four groups: high risk in both trimesters (H1 H2 ), high risk in the first but not in the second trimester (H1 L2 ), low risk in the first but high risk in the second trimester (L1 H2 ) and low risk in both trimesters (L1 L2 ). Small for gestational age (SGA), hypertensive disorders of pregnancy (HDP) and stillbirth. In this cohort, 600 (7.7%) and 620 (7.9%) women were designated as being at high risk in the first and second trimesters, respectively. Preterm pre-eclampsia was more prevalent in the H1 L2 group (4.5%) than in women considered at low risk in the first trimester (0.4%, p < 0.0001). The prevalence of preterm pre-eclampsia in the L1 H2 group (3.3%) was significantly lower than that in women considered at high risk in the first trimester (7.0%, p=0.0076), and was higher than that observed in the L1 L2 group (0.2%, p < 0.0001). The prevalence of SGA and term HDP followed similar trends. Pre-eclampsia risk after first-trimester FMF pre-eclampsia screening may be stratified through mid-gestational routine UtAD assessment. Pregnancy care should not be de-escalated for low mid-gestational UtAD resistance in women classified as being at high risk in the first trimester. The escalation of care may be justified in women at low risk but with high mid-gestational UtAD resistance.

Association of Isolated Hypothyroxinemia and Subclinical Hypothyroidism With Birthweight: A Cohort Study in Japan

Isolated hypothyroxinemia (low maternal free thyroxine [FT4] in the absence of thyroid-stimulating hormone [TSH] elevation) and subclinical hypothyroidism (high TSH in the absence of FT4 elevation) during early pregnancy are common. However, there are limited data regarding pregnancy outcomes, particularly their association with birthweight. We assessed the association between isolated hypothyroxinemia and subclinical hypothyroidism during the first trimester and birthweight. Analyses were conducted using a database of pregnant women (n = 1105; median age, 35 years) who delivered at the National Center for Child Health and Development, a tertiary hospital in Tokyo. The primary outcomes included the rates of small for gestational age (SGA), large for gestational age (LGA), and low birth weight. Of the 1105 pregnant women, 981 were classified into the euthyroidism group, 25 into the isolated hypothyroxinemia group, and 26 into the subclinical hypothyroidism group during the first trimester. The prevalence of SGA was significantly higher in isolated hypothyroxinemia and subclinical hypothyroidism groups than the euthyroidism group (28.0% and 19.2%, respectively, vs 5.7%; P < .01). The odds ratio with 95% CI for SGA was 12.51 (4.41-35.53) for isolated hypothyroxinemia and 4.44 (1.57-12.56) for subclinical hypothyroidism in a multivariable adjustment model. Isolated hypothyroxinemia and subclinical hypothyroidism were not significantly associated with LGA and low birth weight. Pregnant women with isolated hypothyroxinemia and subclinical hypothyroidism in the first trimester have an increased likelihood of SGA. Screening and careful perinatal checkups for isolated hypothyroxinemia and subclinical hypothyroidism may help identify pregnant women at high risk for SGA.

Color Doppler Ultrasonography in the Third Trimester of Pregnancy Significantly Reclassifies Fetal Growth Restriction in the Samrakshan Program of IRIA in India.

The failure of a fetus to achieve its optimal growth potential is classified as fetal growth restriction (FGR). Small fetuses are a major risk for adverse perinatal outcomes including perinatal mortality, perinatal brain injury, and fetal distress compared to fetuses with normal growth.[1] [2] [3] [4] [5] FGR is considered as a fetus with an estimated fetal weight (EFW) less than 10th percentile. However, FGR also shows Doppler signs of hemodynamic redistribution as a fetal adaptation response to undernutrition or hypoxia and histological and biochemical signs of placental disease.[1] Small for gestational age (SGA) fetuses, on the other hand, are defined as constitutionally small fetuses without evidence for fetal adaptation to abnormal fetal environment and have perinatal outcomes similar to fetuses with normal growth.[1] Samrakshan, a national program of Indian Radiological and Imaging Association (IRIA), integrated trimester-specific Doppler studies with routine antenatal ultrasound assessments.[6] We present the results pertaining to the prevalence of FGR and SGA identified through the Samrakshan program.

Comparison of different growth curves in the assessment of extrauterine growth restriction in very low birth weight preterm infants

BackgroundPreterm infants are at risk of extrauterine growth restriction (EUGR) and associated complications in the long term. Growth curves are important in assessing postnatal growth in these infants. The aim of this study was to determine the prevalence of EUGR in preterm infants and the factors associated with EUGR using two different growth curves. MethodsWe retrospectively evaluated 596 preterm infants with birth weight ≤1500 g. Small for gestational age (SGA) was defined as birth weight <10th percentile for gestational age. EUGR was defined as discharge weight z score <−2. All z scores were determined using both the Fenton 2013 and Intergrowth-21st (IG-21) growth curves. ResultsThe infants’ median gestational age was 28 weeks (27–29) and median birth weight was 1080 g (900–1243). The prevalence of SGA was 9.2% with IG-21 curves and 5% with Fenton curves (p < 0.001). The median discharge weight was 2060 g (1860–2363). The prevalence of EUGR was significantly higher with the Fenton curves than with the IG-21 curves (38% vs. 31.7%, p < 0.001). The mean discharge weight z score was −1.82±1.29 with Fenton and −1.44±1.49 with IG-21 curves. In multivariate analysis, significant risk factors for EUGR according to the Fenton curves were SGA (odds ratio [OR]: 19.15, 95% confidence interval [CI]: 4.4–82.59), respiratory distress syndrome (RDS) (OR 1.64, 95% CI 1.12–2.4), late neonatal sepsis (LNS) (OR: 2.27, 95% CI: 1.5–3.44), and >16 days to full enteral feeding (OR: 1.8, 95% CI: 1.22–2.68). Similarly, independent risk factors for EUGR according to the IG-21 curve were SGA (OR: 16.3, 95% CI: 7.23–36.9), RDS (OR: 1.81, 95% CI: 1.16–2.83), LNS (OR: 2.29, 95% CI: 1.43–3.68), and >16 days to full enteral feeding (OR: 2.11, 95% CI: 1.38–3.23). ConclusionThe growth curves used for diagnosis may lead to differences in EUGR rates in intensive care units and the factors identified as associated with EUGR. At-risk infants should be evaluated for EUGR and their weight and nutritional support should be monitored carefully. Comparisons of long-term outcomes are needed to assess the suitability of growth curves used for EUGR follow-up.

Factors associated with small-for-gestational-age births among preterm babies born

ObjectivesThis study aimed to determine the prevalence of small-for-gestational-age (SGA) and appropriate-for-gestational-age (AGA); compare variations in multiple risk factors, and identify factors associated with SGA births among preterm babies born...

Comparison of updated birth weight, length and head circumference charts by gestational age in China with the INTERGROWTH-21st NCSS charts: a population-based study

BackgroundINTERGROWTH-21st Newborn Cross-Sectional Study (NCSS) charts were established and recommended for global application. However, whether one international reference is appropriate for all populations is still unclear. We aim to compare the updated Chinese birth size charts by gestational age with INTERGROWTH-21st NCSS charts.MethodsA cross-sectional survey was carried out, and the birth weight, length and head circumference of 24,375 infants born after uncomplicated pregnancies at gestational age ranging from 24+0 to 42+6 weeks were measured in 13 cities in China from 2015 to 2018. Growth charts were constructed. The measurements of all these infants were evaluated by the methods of calculating their Z scores using the INTERGROWTH-21st standards. The prevalence of small for gestational age (SGA) and large for gestational age (LGA) based on birth weight was analyzed using Chinese charts and INTERGROWTH-21st charts.ResultsThe mean Z scores were 0.10 for birth weight, 0.35 for length and − 0.02 for head circumference. Compared to the INTERGROWTH-21st charts, the Chinese birth weight percentile curves were higher except for the 90th percentile at 29–37 weeks gestational age, and the length percentile curves were higher after 33 weeks gestational age, while the 10th percentile of the head circumference was lower and the other percentiles were similar. The prevalence of SGA was 10.1% [95% confidence interval (CI) = 9.7%–10.5%] using the Chinese birth weight chart and 6.5% (95% CI = 6.2%–6.8%) using the INTERGROWTH-21st birth weight chart. The prevalence of LGA was 9.9% (95% CI = 9.5%–10.2%) and 8.2% (95% CI = 7.9%–8.6%) using the Chinese and INTERGROWTH-21st birth weight charts, respectively.ConclusionsChinese birth size charts based on infants born after uncomplicated pregnancies were different from the INTERGROWTH-21st charts. Differences in the classification of newborns by the two charts should receive attention, and whether the application of INTERGROWTH-21st in Chinese newborns will lead to misclassification needs to be validated in future clinical practice.

The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

BackgroundThe prevalence of small for gestational age (SGA) may vary depending on the chosen weight-for-gestational-age reference chart. An individual participant data meta-analysis was conducted to assess the implications of using a local reference (STOPPAM) instead of a universal reference (Intergrowth-21) on the association between malaria in pregnancy and SGA.MethodsIndividual participant data of 6,236 newborns were pooled from seven conveniently identified studies conducted in Tanzania and Malawi from 2003–2018 with data on malaria in pregnancy, birthweight, and ultrasound estimated gestational age. Mixed-effects regression models were used to compare the association between malaria in pregnancy and SGA when using the STOPPAM and the Intergrowth-21 references, respectively.ResultsThe 10th percentile for birthweights-for-gestational age was lower for STOPPAM than for Intergrowth-21, leading to a prevalence of SGASTOPPAM of 14.2% and SGAIG21 of 18.0%, p < 0.001. The association between malaria in pregnancy and SGA was stronger for STOPPAM (adjusted odds ratio (aOR) 1.30 [1.09–1.56], p < 0.01) than for Intergrowth-21 (aOR 1.19 [1.00–1.40], p = 0.04), particularly among paucigravidae (SGASTOPPAM aOR 1.36 [1.09–1.71], p < 0.01 vs SGAIG21 aOR 1.21 [0.97–1.50], p = 0.08).ConclusionsThe prevalence of SGA may be overestimated and the impact of malaria in pregnancy underestimated when using Intergrowth-21. Comparing local reference charts to global references when assessing and interpreting the impact of malaria in pregnancy may be appropriate.

Association between Heated Tobacco Product Use during Pregnancy and Fetal Growth in Japan: A Nationwide Web-Based Survey.

Combustible cigarette smoking impacts fetal growth during pregnancy. However, the risk associated with heated tobacco products (HTPs) remains unclear. This nationwide cross-sectional study investigated whether HTP use during pregnancy is associated with small for gestational age (SGA) outcomes among 5647 post-delivery women with singleton pregnancies, which were divided into four groups: lifetime never-smokers, former smokers before pregnancy, and current smokers for each of the tobacco products during pregnancy (sole HTP and sole combustion smokers). Information on the prevalence of SGA, defined as birth weight and height below the 10th percentile, was retrieved from the Maternal and Child Health Handbooks of post-delivery women. Using logistic regression, the association between sole HTP smokers during pregnancy and SGA, adjusted for covariates, with lifetime never-smokers as reference, was investigated. The prevalence was: current sole HTP smokers during pregnancy, 1.8% (102/5647); and SGA, 2.9% (164/5647). Sole HTP smokers during pregnancy had a higher prevalence of SGA (5.9% [6/102] vs. 2.7% [111/4144]) with an adjusted odds ratio (OR) of 2.50 (95% confidence interval [CI], 1.03–6.05) than lifetime never-smokers. Among sole combustion smokers, the adjusted OR for SGA was 1.95 (95% CI, 0.81–4.67). In Japan, HTP smoking during pregnancy may be associated with an increased risk for SGA.

Dietary patterns before and during pregnancy and small for gestational age in Japan: a prospective birth cohort study

BackgroundAlthough small for gestational age (SGA) is a serious problem worldwide, the association of dietary patterns before and during pregnancy with SGA risk is unclear. We evaluated this association among Japanese pregnant women using three methods: reduced rank regression (RRR) and partial least squares (PLS), methods for extracting dietary patterns that can explain the variation of response variables, and principal component analysis (PCA), a method for extracting dietary patterns of the population.MethodsBetween July 2013 and March 2017, 22,493 pregnant women were recruited to the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study, a population-based prospective birth cohort study in Japan. Information on dietary intake was obtained using food frequency questionnaires, and dietary patterns were extracted using RRR, PLS, and PCA. Information on birth weight was obtained from obstetric records, and the birth weight SD score and SGA were defined by the method of the Japan Pediatric Society. The associations of dietary patterns with birth weight SD score and SGA risk were investigated using multiple linear regression and multiple logistic regression, respectively.ResultsA total of 17,728 mother-child pairs were included. The birth weight SD score was 0.15 ± 0.96, and the prevalence of SGA was 6.3%. The dietary patterns extracted by RRR and PLS were similar and characterized by a high intake of cereals and fruits and a low intake of alcoholic and non-alcoholic beverages in both pre- to early pregnancy and from early to mid-pregnancy. Higher adoption of the RRR and PLS patterns in both periods was associated with an increased birth weight SD score and lower risk of SGA. In contrast, the PCA1 pattern was not associated with birth weight SD score or SGA risk in either period. Although the PCA2 pattern was associated with increased birth weight SD score from early to mid-pregnancy, no other associations with birth weight SD score or SGA risk were observed.ConclusionsThe dietary pattern with a high intake of cereals and fruits and a low intake of alcoholic and non-alcoholic beverages before and during pregnancy was associated with a decreased SGA risk in Japan.

Maternal lipid profile during early pregnancy and birth weight: A retrospective study.

IntroductionElevated maternal serum lipid concentrations have been related to an adverse intrauterine environment and lead to abnormal birth weight.ObjectiveIn this study, we aimed to explore the association between maternal lipid profiles during early pregnancy and birth weight with stratified pre-pregnancy body mass index (BMI).MethodsThis retrospective cohort study was based on a large population from two major maternity centers in Shanghai, China. We included 57,516 women with singleton live birth between January 2018 and October 2020. All of the enrolled women had fasting lipid concentrations measured in early pregnancy. The primary outcomes were birth weight and risks of adverse birth outcomes, including macrosomia, large for gestational age (LGA), low birth weight (LBW), and small for gestational age (SGA).ResultsHigher maternal concentrations of total cholesterol (TC), triglyceride (TG), and low-density cholesterol (LDL-c) in early pregnancy were associated with increased birth weight. Ln transformed TG and levels exhibited a positive association with LGA and macrosomia (OR = 1.33, 95% CI: 1.25, 1.42 and OR = 1.37, 95% CI: 1.24, 1.52) and showed a negative relationship with SGA (OR = 0.73, 95% CI: 0.62, 0.85). High TG (>75th percentile, 1.67 mmol/L) group also showed higher risks of LGA and macrosomia (OR = 1.21, 95% CI: 1.15, 1.28 and OR = 1.20, 95% CI: 1.10, 1.31) and decreased prevalence of SGA (OR = 0.71, 95% CI: 0.61, 0.83). Moreover, significant combined effects of pre-pregnancy BMI and lipid profiles on LGA and macrosomia were identified.ConclusionsElevated maternal lipid profiles in early pregnancy are associated with higher birth weight and increased risks of LGA and macrosomia. We propose that serum lipid profiles in early pregnancy and pre-pregnancy BMI could serve as screening indexes for high-risk women.

Early life determinants of arterial stiffness in neonates, infants, children and adolescents: A systematic review and meta-analysis

Background and aimsCertain exposures and risk factors during the first 1,000 days of life are known to influence future cardiovascular disease (CVD) risk. Pulse wave velocity (PWV) is a measure of arterial stiffness and a recognised surrogate marker of CVD. We performed a systematic review and meta-analyses to investigate whether early life exposures were associated with increased PWV compared with controls in youth. MethodsDatabases AMED, MEDLINE, EMBASE, CINAHL and Scopus were searched from inception until February 2022. Eligibility criteria: observational controlled studies in youth aged <20 years with risk factors/exposure during the first 1,000 days and PWV measurement. This review is registered with PROSPERO (CRD42019137559). Outcome data were pooled using random-effects meta-analysis. Meta-regression was used to investigate potential confounders. ResultsWe identified 24 eligible studies. Age of participants ranged from 1-day to 19-years at time of PWV assessment. Exposures included pre-term birth, small for gestational age (SGA), maternal diabetes and assisted reproductive technologies, none of which were significantly associated with PWV in meta-analysis. Sub-group analysis by age demonstrated increased PWV in childhood and adolescence in those exposed to maternal diabetes or born SGA. In meta-regression of pre-term studies, higher prevalence of SGA was associated with increased PWV compared with controls (p = 0.034, R2 = 1). ConclusionsWe found limited evidence that youth exposed to maternal diabetes or born SGA have increased PWV, consistent with increased future CVD risk. These changes in PWV appear to manifest in later childhood and adolescence. Further research is required to better understand the observed relationships.

Development of an imputation model to recalibrate birth weights measured in the early neonatal period to time at delivery and assessment of its impact on size-for-gestational age and low birthweight prevalence estimates: a secondary analysis of a pregnancy cohort in rural Nepal

ObjectivesIn low-income countries, birth weights for home deliveries are often measured at the nadir when babies may lose up of 10% of their birth weight, biasing estimates of small-for-gestational age...