G-ROP Criteria for Predicting Retinopathy of Prematurity Among Neonates with Different Birth Weight Percentiles

Purpose: To determine whether being small for gestational age (SGA), appropriate for gestational age (AGA) and large for gestational age (LGA) affected the sensitivity and specificity of Postnatal Growth and Retinopathy of Prematurity (G-ROP) model. Methods: We applied the G-ROP criteria, except hydrocephalus, for prematures retrospectively. The infants were divided into three subgroups according to birth weight percentiles (SGA, AGA, LGA), and the performance of the G-ROP criteria was tested for each group by calculating sensitivity and specificity for any stage retinopathy of prematurity (ROP) and severe ROP. Severe ROP was defined as ROP needing treatment. Results: Three hundred and ninety neonates screened for ROP were included. The gestational age and birth weight of the neonates were 29.3±2.9 weeks and 1302.9±416 g, respectively. There were 41 (10.5%) SGA, 312 (80%) AGA and 37 (9.5%) LGA neonates. The sensitivity of the model for any ROP was 67.8%, 66.7%, 73.2%, 55.6% for all of the patients in the study, SGA, AGA, and LGA neonates, respectively. The sensitivity of the model for severe ROP in all group and for each subgroup was 100%. The specificity of the model for any ROP was 65.9%, 70.6%, 87.7%, 90% for all of the patients, SGA, AGA, and LGA neonates, respectively. The specificity for severe ROP was 46.4%, 50%, 44%, 63.6% for all of the patients, SGA, AGA, and LGA neonates, respectively.Conclusion: The sensitivity and specificity of the G-ROP model in SGA infants were similar with the whole group, but was different between SGA, AGA and LGA neonates. Although the model did not miss any severe ROP, the specificity of the model for severe ROP was found low.

Birth Size and Maternal, Social, and Environmental Factors in the Province of Jujuy, Argentina

Introduction: birth size is affected by diverse maternal, environmental, social, and economic factors. Aim: analyze the relationships between birth size—shown by the indicators small for gestational age (SGA) and large for gestational age (LGA)—and maternal, social, and environmental factors in the Argentine province of Jujuy, located in the Andean foothills. Methods: data was obtained from 49,185 mother-newborn pairs recorded in the Jujuy Perinatal Information System (SIP) between 2009 and 2014, including the following: newborn and maternal weight, length/height, and body mass index (BMI); gestational age and maternal age; mother’s educational level, nutritional status, marital status and birth interval; planned pregnancy; geographic-linguistic origin of surnames; altitudinal place of birth; and unsatisfied basic needs (UBN). The dataset was split into two groups, SGA and LGA, and compared with adequate for gestational age (AGA). Bivariate analysis (ANOVA) and general lineal modeling (GLM) with multinomial distribution were employed. Results: for SGA newborns, risk factors were altitude (1.43 [1.12–1.82]), preterm birth (5.33 [4.17–6.82]), older maternal age (1.59 [1.24–2.05]), and primiparous mothers (1.88 [1.06–3.34]). For LGA newborns, the risk factors were female sex (2.72 [5.51–2.95]), overweight (1.33 [1.22–2.46]) and obesity (1.85 [1.66–2.07]). Conclusions: the distribution of birth size and the factors related to its variability in Jujuy are found to be strongly conditioned by provincial terrain and the clinal variation due to its Andean location.

What is the impact of birth weight corrected for gestational age on later onset asthma: a meta-analysis

Background Asthma is a common multifactorial disease affecting millions worldwide. The Barker hypothesis postulates an association between later onset disease risk and energy exposure in utero. Birth weight corrected for gestational age is better for measuring the infant size, which reflects energy exposure in utero. Findings on asthma and birth weight corrected for gestational age have been inconclusive. We conducted a meta-analysis to further clarify the relationship between birth weight corrected for gestational age and later onset asthma. Methods A systematic literature search of the PubMed, Web of Science, MEDLINE, and Scopus databases up to January 2021 was conducted. The subject terms were used as follows: “asthma”, “allerg*”, “respiratory”, “birth weight”, “gestational age”, “birth outcomes”, “intrauterine growth retardation”, and “fetal growth restriction”. Results We included 12 articles with data from a total of 6,713,596 people. Compared with non-SGA infants, infants small for gestation age (SGA) were not associated with an increased risk of asthma (OR = 1.07; 95% CI 0.94–1.21). However, in the subgroup analysis, we found an increased risk of later onset asthma among SGA in studies conducted in Asia, with a large sample size, and defined asthma through medical records rather than questionnaires. Large for gestational age (LGA) was not associated with an increased risk of asthma when non-LGA or appropriated for gestational age (AGA) infants were used as the reference (OR = 1.02; 95% CI 0.90–1.16; OR = 1.01; 95% CI 0.88–1.15). Conclusion These results indicated that neither SGA nor LGA was associated with an increased risk of asthma. However, considering the limitations of the research, these results should be interpreted with caution.

Extreme Birth Weight and Metabolic Syndrome in Children

Small and large birth weights (BWs) for gestational age (GA) represent extremes, but the correlation between extreme BW and metabolic syndrome (MetS) has not been fully elucidated. In this study, we examined this correlation in obese children based on changes in their metabolic profile from childhood to adolescence. A retrospective observational study was performed on 535 obese patients aged 0–18 years in the Clinical and Emergency Hospital for Children “Louis Turcanu” in Timisoara, Romania, based on clinical and biological data from January 2015 to December 2019. We emphasized the links between extreme BW and obesity, extreme BW and cardiometabolic risk, obesity and cardiometabolic risk, and extreme BW, obesity and MetS. Children born large for gestational age (LGA) predominated over those born small for gestational age (SGA). Our findings showed that BW has an independent effect on triglycerides and insulin resistance, whereas obesity had a direct influence on hypertension, impaired glucose metabolism and hypertriglyceridemia. The influences of BW and obesity on the development of MetS and its components are difficult to separate; therefore, large prospective studies in normal-weight patients are needed.

Early pregnancy hyperglycaemia as a significant predictor of large for gestational age neonates

Aims We aimed to determine the effect of early pregnancy hyperglycaemia on having a large for gestational age (LGA) neonate. Methods A prospective cohort study was conducted among pregnant women in their first trimester. One-step plasma glucose (PG) evaluation procedure was performed to assess gestational diabetes mellitus (GDM) and diabetes mellitus (DM) in pregnancy as defined by the World Health Organization (WHO) criteria with International Association of Diabetes in Pregnancy Study Group (IADPSG) thresholds. The main outcome studied was large for gestational age neonates (LGA). Results A total of 2,709 participants were recruited with a mean age of 28 years (SD = 5.4) and a median gestational age (GA) of eight weeks (interquartile range [IQR] = 2). The prevalence of GDM in first trimester (T1) was 15.0% (95% confidence interval [CI] = 13.7–16.4). Previously undiagnosed DM was detected among 2.5% of the participants. Out of 2,285 live births with a median delivery GA of 38 weeks (IQR = 3), 7.0% were LGA neonates. The cumulative incidence of LGA neonates in women with GDM and DM was 11.1 and 15.5 per 100 women, respectively. The relative risk of having an LGA neonate among women with DM and GDM was 2.30 (95% CI = 1.23–4.28) and 1.80 (95% CI = 1.27–2.53), respectively. The attributable risk percentage of a LGA neonate for hyperglycaemia was 15.01%. T1 fasting PG was significantly correlated with both neonatal birth weight and birth weight centile. Conclusions The proposed WHO criteria for hyperglycaemia in pregnancy are valid, even in T1, for predicting LGA neonates. The use of IADPSG threshold for Fasting PG, for risk assessment in early pregnancy in high-risk populations is recommended.

Metformin in pregnancy and risk of adverse long-term outcomes: a register-based cohort study

IntroductionThis study aimed to investigate if maternal pregnancy exposure to metformin is associated with increased risk of long-term and short-term adverse outcomes in the child.Research design and methods This register-based cohort study from Finland included singleton children born 2004–2016 with maternal pregnancy exposure to metformin or insulin (excluding maternal type 1 diabetes): metformin only (n=3967), insulin only (n=5273) and combination treatment (metformin and insulin; n=889). The primary outcomes were long-term offspring obesity, hypoglycemia, hyperglycemia, diabetes, hypertension, polycystic ovary syndrome, and challenges in motor–social development. In a sensitivity analysis, the primary outcomes were investigated only among children with maternal gestational diabetes. Secondary outcomes were adverse outcomes at birth. Analyses were conducted using inverse- probability of treatment weighting (IPTW), with insulin as reference.Results Exposure to metformin or combination treatment versus insulin was not associated with increased risk of long-term outcomes in the main or sensitivity analyses. Among the secondary outcomes, increased risk of small for gestational age (SGA) was observed for metformin (IPTW-weighted OR 1.65, 95% CI 1.16 to 2.34); increased risk of large for gestational age, preterm birth and hypoglycemia was observed for combination treatment. No increased risk was observed for neonatal mortality, hyperglycemia, or major congenital anomalies.Conclusions This study found no increased long-term risk associated with pregnancy exposure to metformin (alone or in combination with insulin), compared with insulin. The increased risk of SGA associated with metformin versus insulin suggests caution in pregnancies with at-risk fetal undernutrition. The increased risks of adverse outcomes at birth associated with combination treatment may reflect confounding by indication or severity.

Hypoglycemia screening of asymptomatic newborns on the 2nd day of life

BACKGROUND: Neonatal hypoglycemia management in the first 48 hours is guided by the American Academy of Pediatrics (AAP) and Pediatric Endocrine Society (PES) recommendations. Our aim was to determine the incidence of hypoglycemia via point of care test (POCT) on the 2nd day of life (DOL) among healthy, asymptomatic neonates regardless of risk factors. METHODS: In this prospective observational study, preprandial point of care glucose concentration was measured on the 2nd DOL in 150 healthy, asymptomatic neonates in the newborn nursery. We used 50 mg/dl (2.8 mmol/L) as the hypoglycemia threshold based on PES recommendations. RESULTS: The incidence of hypoglycemia on the second DOL was 10% among asymptomatic neonates (no risk factors = 8% ; late preterm birth (LPT) + small for gestational age (SGA) = 16% ; large for gestational age (LGA) + infant of diabetic mother (IDM) = 6%). SGA + LPT neonates accounted for the majority of the hypoglycemic cases (53.3%) and exhibited a trend towards the lowest glucose concentration (p = 0.09). CONCLUSION: The incidence of hypoglycemia on DOL 2 among asymptomatic neonates is high and of unclear significance in the absence of dedicated neurodevelopmental follow-up.