New French height velocity growth charts: An innovative big-data approach based on routine measurements.

AIM: Height velocity is considered a key auxological tool to monitor growth, but updated height velocity growth charts are lacking. We aimed to derive new French height velocity growth charts by using a big-data approach based on routine measurements. METHODS: We extracted all growth data of children aged 1 month-18 years from the electronic medical records of 42 primary care physicians, between 1 January 1990 and 8 February 2018, throughout the French metropolitan territory. We derived annual and biannual height velocity growth charts until age 15 years by using the Lambda-Mu-Sigma method. These new growth charts were compared to the 1979 French and 2009 World Health Organisation (WHO) ones. RESULTS: New height velocity growth charts were generated with 193 124 and 209 221 annual and biannual values from 80 204 and 87 260 children, respectively, and showed good internal fit. Median curves were close to the 1979 French or 2009 WHO ones, but SD curves displayed important differences. Similar results were found with the biannual height velocity growth charts. CONCLUSION: We produced new height velocity growth charts until age 15 years by using a big-data approach applied to measurements routinely collected in clinical practice. These updated growth charts could help optimise growth-monitoring performance.

High BMI z-Scores from Different Growth References Are Not Comparable: An Example from a Weight Management Trial with an Anti-Obesity Medication in Pubertal Adolescents with Obesity.

Background: The BMI z-score is a standardized measure of weight status and weight change in children and adolescents. BMI z-scores from various growth references are often considered comparable, and differences among them are underappreciated. Methods: This study reanalyzed data from a weight management clinical study of liraglutide in pubertal adolescents with obesity using growth references from CDC 2000, CDC Extended, World Health Organization (WHO), and International Obesity Task Force. Results: BMI z-score treatment differences varied 2-fold from -0.13 (CDC 2000) to -0.26 (WHO) overall and varied almost 4-fold from -0.05 (CDC 2000) to -0.19 (WHO) among adolescents with high baseline BMI z-score. Conclusions: Depending upon the growth reference used, BMI z-score endpoints can produce highly variable treatment estimates and alter interpretations of clinical meaningfulness. BMI z-scores cited without the associated growth reference cannot be accurately interpreted.

Unisex and Sex-Specific Prescriptive Fetal Growth Charts for Improved Detection of Small-for-Gestational-Age Babies in a Low-Risk Population: A post hoc Analysis of a Cluster-Randomized Study.

INTRODUCTION: Our aim was to develop and evaluate the performance of population-based sex-specific and unisex prescriptive fetal abdominal circumference growth charts in predicting small-for-gestational-age (SGA) birthweight, severe SGA (sSGA) birthweight, and severe adverse perinatal outcomes (SAPO) in a low-risk population. METHODS: This is a post hoc analysis of the Dutch nationwide cluster-randomized IRIS study, encompassing ultrasound data of 7,704 low-risk women. IRIS prescriptive unisex and IRIS sex-specific abdominal circumference (AC) fetal growth charts were derived using quantile regression. As a comparison, we used the descriptive unisex Verburg chart, which is commonly applied in the Netherlands. Diagnostic parameters were calculated based on the 34-36 weeks' ultrasound. RESULTS: Sensitivity rates for predicting SGA and sSGA birthweights were more than twofold higher based on the IRIS prescriptive sex-specific (respectively SGA 43%; sSGA 59%) and unisex (SGA 39%; sSGA 55%) charts, compared to the Verburg chart (SGA 16%; sSGA 23% both p < 0.01). Specificity rates were highest for Verburg (SGA 99%; sSGA 98%) and lowest for IRIS sex-specific (SGA 94%; sSGA 92%). Results for predicting SGA with SAPO were similar for the prescriptive charts (44%), and again higher than the Verburg chart (20%). The IRIS sex-specific chart identified significantly more males as SGA and sSGA (respectively, 42%; 60%, p < 0.001) than the IRIS unisex chart (respectively, 35%; 53% p < 0.01). CONCLUSION: Our study demonstrates improved performance of both the IRIS sex-specific and unisex prescriptive fetal growth compared to the Verburg descriptive chart, doubling detection rates of SGA, sSGA, and SGA with SAPO. Additionally, the sex-specific chart outperformed the unisex chart in detecting SGA and sSGA. Our findings suggest the potential benefits of using prescriptive AC fetal growth charts in low-risk populations and emphasize the importance of considering customizing fetal growth charts for sex. Nevertheless, the increased sensitivity of these charts should be weighed against the decrease in specificity.

Which fetal growth charts should be used in France? Position of the French College of Obstetricians and Gynecologists (CNGOF).

OBJECTIVE: To assess which fetal growth charts best describe intrauterine growth in France defined as the ability to classify 10% of fetuses below the 10th percentile (small for gestational age [SGA]) and above the 90th percentile (large for gestational age [LGA]) in the second and third trimesters. METHODS: We analyzed five studies on fetal ultrasound measurements using three French data sources. Two studies used second and third trimester ultrasound data from a nationwide birth cohort in 2011 (the ELFE study, N = 13 197 and N = 7747); one study used third trimester ultrasound data from on a nationwide cross-sectional study (the 2016 French National Perinatal Survey, N = 9940); and the last two studies were from the "Flash study" 2014 which prospectively collected ultrasound data from routine visits in the second and third trimesters (N = 4858 and N = 3522). For each study, we reported the percentage of measurements below the 10th percentile or above the 90th percentile, using French, Hadlock's, WHO and Intergrowth (IG) charts. RESULTS: WHO classified 4.7% and 16.3% of fetuses as having an estimated fetal weight (EFW) <10th and >90th percentiles in the second trimester compared to 3.3% and 34.7% with IG. The percentage of fetuses in the third trimester with an EFW <10th and >90th percentiles, ranged from 9.1% to 9.4% and from 8.0% to 11.1%, respectively, for WHO, and from 3.9% to 4.1% and from 17.3% to 21.6%, respectively, for IG. The WHO and IG charts for head circumference were very similar and performed well. Compared to the WHO charts, the French and Hadlock's charts deviated more frequently from the target percentiles values for EFW and biometric measures. CONCLUSION: It is recommended to use the WHO charts for the assessment of EFW and ultrasound biometric measurements in France (strong recommendation; low quality of evidence).

Deep learning-based segmentation of whole-body fetal MRI and fetal weight estimation: assessing performance, repeatability, and reproducibility.

OBJECTIVES: To develop a deep-learning method for whole-body fetal segmentation based on MRI; to assess the method's repeatability, reproducibility, and accuracy; to create an MRI-based normal fetal weight growth chart; and to assess the sensitivity to detect fetuses with growth restriction (FGR). METHODS: Retrospective data of 348 fetuses with gestational age (GA) of 19-39 weeks were included: 249 normal appropriate for GA (AGA), 19 FGR, and 80 Other (having various imaging abnormalities). A fetal whole-body segmentation model with a quality estimation module was developed and evaluated in 169 cases. The method was evaluated for its repeatability (repeated scans within the same scanner, n = 22), reproducibility (different scanners, n = 6), and accuracy (compared with birth weight, n = 7). A normal MRI-based growth chart was derived. RESULTS: The method achieved a Dice = 0.973, absolute volume difference ratio (VDR) = 1.8% and VDR mean difference = 0.75% ([Formula: see text]: - 3.95%, 5.46), and high agreement with the gold standard. The method achieved a repeatability coefficient = 4.01%, ICC = 0.99, high reproducibility with a mean difference = 2.21% ([Formula: see text]: - 1.92%, 6.35%), and high accuracy with a mean difference between estimated fetal weight (EFW) and birth weight of - 0.39% ([Formula: see text]: - 8.23%, 7.45%). A normal growth chart (n = 246) was consistent with four ultrasound charts. EFW based on MRI correctly predicted birth-weight percentiles for all 18 fetuses ≤ 10thpercentile and for 14 out of 17 FGR fetuses below the 3rd percentile. Six fetuses referred to MRI as AGA were found to be < 3rd percentile. CONCLUSIONS: The proposed method for automatic MRI-based EFW demonstrated high performance and sensitivity to identify FGR fetuses. CLINICAL RELEVANCE STATEMENT: Results from this study support the use of the automatic fetal weight estimation method based on MRI for the assessment of fetal development and to detect fetuses at risk for growth restriction. KEY POINTS: • An AI-based segmentation method with a quality assessment module for fetal weight estimation based on MRI was developed, achieving high repeatability, reproducibility, and accuracy. • An MRI-based fetal weight growth chart constructed from a large cohort of normal and appropriate gestational-age fetuses is proposed. • The method showed a high sensitivity for the diagnosis of small fetuses suspected of growth restriction.

Verification of a nationwide population-based myopia growth chart in a large longitudinal cohort of 1155 Korean children.

OBJECTIVE: To evaluate predictive value of the myopia growth chart based on population-based health survey data using longitudinal cohorts. METHODS: Patients aged from 5 to 18 years and underwent two or more cycloplegic refraction (CR) exams with at least one year of interval were included. Percentile deviation was calculated by subtracting percentile at final exam from the percentile at initial exam based on the chart. Spherical equivalent (SE) deviation was calculated by SE at final CR subtracted from predicted SE based on initial CR using the chart. RESULTS: 2310 eyes from 1155 subjects were included. There were 1344 eyes (58.2%) categorized as inliers, where both initial and final CR were within the 2nd to 99th percentile. Mean percentile and SE deviations were + 11.0 ± 22.9 percentiles and -0.60 ± 1.33 diopters, each. Outliers, those except the inliers, were 966 eyes (41.8%). Most outliers (709 eyes, 73.4%) were outside the chart for both initial and final exam. The rest of the outliers (257 eyes, 26.2%) were within the 2 to 99 percentile range on the chart at least once, either at initial or final exams; most of those (202 eyes, 78.6%) progressed toward myopia more than predicted. CONCLUSIONS: In our large cohorts, both inliers and outliers tended to progress toward more myopia than predicted from the chart. This suggests the chart predicts childhood myopia rather conservatively. The myopia growth chart may be useful as a screening tool in detecting children at high risk of developing high myopia.

Prenatal prediction of adverse outcome using different charts and definitions of fetal growth restriction.

OBJECTIVE: Antenatal growth assessment using ultrasound aims to identify small fetuses that are at higher risk of perinatal morbidity and mortality. This study explored whether the association between suboptimal fetal growth and adverse perinatal outcome varies with different definitions of fetal growth restriction (FGR) and different weight charts/standards. METHODS: This was a retrospective cohort study of 17 261 singleton non-anomalous pregnancies at ≥ 24 + 0 weeks' gestation that underwent routine ultrasound at a tertiary referral hospital. Estimated fetal weight (EFW) and Doppler indices were converted into percentiles using a reference standard (INTERGROWTH-21st (IG-21)) and various reference charts (Hadlock, Fetal Medicine Foundation (FMF) and Swedish). Test characteristics were assessed using the consensus definition, Society for Maternal-Fetal Medicine (SMFM) definition and Swedish criteria for FGR. Adverse perinatal outcome was defined as perinatal death, admission to the neonatal intensive care unit at term, 5-min Apgar score < 7 and therapeutic cooling for neonatal encephalopathy. The association between FGR according to each definition and adverse perinatal outcome was compared. Multivariate logistic regression analysis was used to test the strength of association between ultrasound parameters and adverse perinatal outcome. Ultrasound parameters were also tested for correlation. RESULTS: IG-21, Hadlock and FMF fetal size references classified as growth-restricted 1.5%, 3.6% and 4.6% of fetuses, respectively, using the consensus definition and 2.9%, 8.8% and 10.6% of fetuses, respectively, using the SMFM definition. The sensitivity of the definition/chart combinations for adverse perinatal outcome varied from 4.4% (consensus definition with IG-21 charts) to 13.2% (SMFM definition with FMF charts). Specificity varied from 89.4% (SMFM definition with FMF charts) to 98.6% (consensus definition with IG-21 charts). The consensus definition and Swedish criteria showed the highest specificity, positive predictive value and positive likelihood ratio in detecting adverse outcome, irrespective of the reference chart/standard used. Conversely, the SMFM definition had the highest sensitivity across all investigated growth charts. Low EFW, abnormal mean uterine artery pulsatility index (UtA-PI) and abnormal cerebroplacental ratio were significantly associated with adverse perinatal outcome and there was a positive correlation between the covariates. Multivariate logistic regression showed that UtA-PI > 95th percentile and EFW < 5th percentile were the only parameters consistently associated with adverse outcome, irrespective of the definitions or fetal growth chart/standard used. CONCLUSIONS: The apparent prevalence of FGR varies according to the definition and fetal size reference chart/standard used. Irrespective of the method of classification, the sensitivity for the identification of adverse perinatal outcome remains low. EFW, UtA-PI and fetal Doppler parameters are significant predictors of adverse perinatal outcome. As these indices are correlated with one other, a prediction algorithm is advocated to overcome the limitations of using these parameters in isolation. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

epDevAtlas: Mapping GABAergic cells and microglia in postnatal mouse brains.

During development, brain regions follow encoded growth trajectories. Compared to classical brain growth charts, high-definition growth charts could quantify regional volumetric growth and constituent cell types, improving our understanding of typical and pathological brain development. Here, we create high-resolution 3D atlases of the early postnatal mouse brain, using Allen CCFv3 anatomical labels, at postnatal days (P) 4, 6, 8, 10, 12, and 14, and determine the volumetric growth of different brain regions. We utilize 11 different cell type-specific transgenic animals to validate and refine anatomical labels. Moreover, we reveal region-specific density changes in γ-aminobutyric acid-producing (GABAergic), cortical layer-specific cell types, and microglia as key players in shaping early postnatal brain development. We find contrasting changes in GABAergic neuronal densities between cortical and striatal areas, stabilizing at P12. Moreover, somatostatin-expressing cortical interneurons undergo regionally distinct density reductions, while vasoactive intestinal peptide-expressing interneurons show no significant changes. Remarkably, microglia transition from high density in white matter tracks to gray matter at P10, and show selective density increases in sensory processing areas that correlate with the emergence of individual sensory modalities. Lastly, we create an open-access web-visualization (https://kimlab.io/brain-map/epDevAtlas) for cell-type growth charts and developmental atlases for all postnatal time points.

Extrauterine Growth Restriction: Need for an Accurate Definition.

Neonates show considerable variation in growth that can be recognized through serial measurements of basic variables such as weight, length, and head circumference. If possible, measurement of subcutaneous and total body fat mass can also be useful. These biometric measurements at birth may be influenced by demographics, maternal and paternal anthropometrics, maternal metabolism, preconceptional nutritional status, and placental health. Subsequent growth may depend on optimal feeding, total caloric intake, total metabolic activity, genetic makeup, postnatal morbidities, medications, and environmental conditions. For premature infants, these factors become even more important; poor in utero growth can be an important reason for spontaneous or induced preterm delivery. Later, many infants who have had intrauterine growth restriction (IUGR) and are born small for gestational age (SGA) continue to show suboptimal growth below the 10th percentile, a condition that has been defined as extrauterine growth restriction (EUGR) or postnatal growth restriction (PNGR). More importantly, a subset of these growth-restricted infants may also be at high risk of abnormal neurodevelopmental outcomes. There is a need for well-defined criteria to recognize EUGR/PNGR, so that correctional steps can be instituted in a timely fashion.

Height and Growth Velocity in Children and Adolescents Undergoing Obesity Treatment: A Prospective Cohort Study.

CONTEXT: Pediatric obesity affects endocrine conditions, which may alter growth. OBJECTIVE: This work aimed to investigate the effect of obesity severity and obesity treatment outcome on growth. METHODS: This prospective cohort study included children (aged 3-18 years) enrolled in the Swedish Childhood Obesity Treatment Register (BORIS) (1998-2020). Obesity was categorized as class I and class II obesity. Obesity treatment outcome was measured as body mass index (BMI) z score changes and categorized into good (BMI z score reduction of ≥0.25), intermediate, and poor (increasing BMI z score). Height for age z score, final height, and growth velocity were compared between class I and class II obesity. Further, the effect of obesity treatment outcome on growth velocity during 2-year follow-up was assessed. RESULTS: A total of 27 997 individuals (mean age 10.2 ± 3.6 years) were included. Individuals with class II obesity were on average taller than those with class I obesity during childhood. Among males, reduced growth spurt was observed in class I obesity, and even absent in class II obesity. Females exhibited a similar but less pronounced pattern. Good obesity treatment outcome yielded lower growth velocity at ages 3 to 9 years but higher growth velocity at ages 10 to 13 years compared to poor treatment outcome. CONCLUSION: Obesity severity is positively associated with height and growth velocity in childhood. A hampered growth spurt during puberty should be anticipated, particularly in adolescents with severe obesity. Therefore no difference in final height between class I and class II obesity is expected. Successful obesity treatment does not harm, but rather normalizes, the growth velocity pattern.

Evaluation and prediction of individual growth trajectories.

BACKGROUND: Conventional growth charts offer limited guidance to track individual growth. AIM: To explore new approaches to improve the evaluation and prediction of individual growth trajectories. SUBJECTS AND METHODS: We generalise the conditional SDS gain to multiple historical measurements, using the Cole correlation model to find correlations at exact ages, the sweep operator to find regression weights and a specified longitudinal reference. We explain the various steps of the methodology and validate and demonstrate the method using empirical data from the SMOCC study with 1985 children measured during ten visits at ages 0-2 years. RESULTS: The method performs according to statistical theory. We apply the method to estimate the referral rates for a given screening policy. We visualise the child's trajectory as an adaptive growth chart featuring two new graphical elements: amplitude (for evaluation) and flag (for prediction). The relevant calculations take about 1 millisecond per child. CONCLUSION: Longitudinal references capture the dynamic nature of child growth. The adaptive growth chart for individual monitoring works with exact ages, corrects for regression to the mean, has a known distribution at any pair of ages and is fast. We recommend the method for evaluating and predicting individual child growth.

Fetal growth restriction and small for gestational age as predictors of neonatal morbidity: which growth nomogram to use?

BACKGROUND: Fetal growth nomograms were developed to screen for fetal growth restriction and guide clinical care to improve perinatal outcomes; however, existing literature remains inconclusive regarding which nomogram is the gold standard. OBJECTIVE: This study aimed to compare the ability of 4 commonly used nomograms (Hadlock, International Fetal and Newborn Growth Consortium for the 21st Century, Eunice Kennedy Shriver National Institute of Child Health and Human Development-unified standard, and World Health Organization fetal growth charts) and 1 institution-specific reference to predict small for gestational age and poor neonatal outcomes. STUDY DESIGN: This was a retrospective cohort study of all nonanomalous singleton pregnancies undergoing ultrasound at ≥20 weeks of gestation between 2013 and 2020 and delivering at a single academic center. Using random selection methods, the study sample was restricted to 1 pregnancy per patient and 1 ultrasound per pregnancy completed at ≥22 weeks of gestation. Fetal biometry data were used to calculate estimated fetal weight and percentiles according to the aforementioned 5 nomograms. Maternal and neonatal data were extracted from electronic medical records. Logistic regression was used to estimate the association between estimated fetal weight of <10th and <3rd percentiles compared with estimated fetal weight of 10th to 90th percentile as the reference group for small for gestational age and the neonatal composite outcomes (perinatal mortality, hypoxic-ischemic encephalopathy or seizures, respiratory morbidity, intraventricular hemorrhage, necrotizing enterocolitis, hyperbilirubinemia or hypoglycemia requiring neonatal intensive care unit admission, and retinopathy of prematurity). Receiver operating characteristic curve contrast estimation (primary analysis) and test characteristics were calculated for all nomograms and the prediction of small for gestational age and the neonatal composite outcomes. We restricted the sample to ultrasounds performed within 28 days of delivery; moreover, similar analyses were completed to assess the prediction of small for gestational age and neonatal composite outcomes. RESULTS: Among 10,045 participants, the proportion of fetuses classified as <10th percentile varied across nomograms from 4.9% to 9.7%. Fetuses with an estimated fetal weight of <10th percentile had an increased risk of small for gestational age (odds ratio, 9.9 [95% confidence interval, 8.5-11.5] to 12.8 [95% confidence interval, 10.9-15.0]). In addition, the estimated fetal weight of <10th and <3rd percentile was associated with increased risk of the neonatal composite outcome (odds ratio, 2.4 [95% confidence interval, 2.0-2.8] to 3.5 [95% confidence interval, 2.9-4.3] and 5.7 [95% confidence interval, 4.5-7.2] to 8.8 [95% confidence interval, 6.6-11.8], respectively). The prediction of small for gestational age with an estimated fetal weight of <10th percentile had a positive likelihood ratio of 6.3 to 8.5 and an area under the curve of 0.62 to 0.67. Similarly, the prediction of the neonatal composite outcome with an estimated fetal weight of <10th percentile had a positive likelihood ratio of 2.1 to 3.1 and an area under the curve of 0.55 to 0.57. When analyses were restricted to ultrasound within 4 weeks of delivery, among fetuses with an estimated fetal weight of <10th percentile, the risk of small for gestational age increased across all nomograms (odds ratio, 16.7 [95% confidence interval, 12.6-22.3] to 25.1 [95% confidence interval, 17.0-37.0]), and prediction improved (positive likelihood ratio, 8.3-15.0; area under the curve, 0.69-0.75). Similarly, the risk of neonatal composite outcome increased (odds ratio, 3.2 [95% confidence interval, 2.4-4.2] to 5.2 [95% confidence interval, 3.8-7.2]), and prediction marginally improved (positive likelihood ratio, 2.4-4.1; area under the curve, 0.60-0.62). Importantly, the risk of both being small for gestational age and having the neonatal composite outcome further increased (odds ratio, 21.4 [95% confidence interval, 13.6-33.6] to 28.7 (95% confidence interval, 18.6-44.3]), and the prediction of concurrent small for gestational age and neonatal composite outcome greatly improved (positive likelihood ratio, 6.0-10.0; area under the curve, 0.80-0.83). CONCLUSION: In this large cohort, Hadlock, recent fetal growth nomograms, and a local population-derived fetal growth reference performed comparably in the prediction of small for gestational age and neonatal composite outcomes.

Validity and reliability of the Persian version of greenspan social-emotional growth chart.

Background: The estimated prevalence of mental health disorders in children and adolescents is between 10% and 20%. Furthermore, a quarter of very premature infants exhibit socioemotional delays in infancy and childhood. The objective of this study was to determine the validity and reliability of Greenspan social-emotional growth chart (GSEGC) in Persian children aged 1-42 months. Materials and Methods: After translation procedures, the face validity, content validity, construct validity, test-retest reliability, and internal consistency of the GSEGC questionnaire were evaluated. The quality of translating items was obtained using the suggestions of the research group. The face validity of the GSEGC was performed by interviewing with 10 mothers in the target group. To evaluate content validity quantitatively, content validity ratio (CVR) and content validity index (CVI) were used after reviewing the face and content validity and pilot study, 264 parents of children aged 1-42 months completed the GSEGC questionnaire to assess the construct validity and internal consistency. In order to determine the test-retest reliability, after 2 weeks, 18 parents completed the questionnaire again. Results: Eleven questions were changed according to the interviews (questions 1-6, 9-11, and 15-16). The lowest CVR was related to items 30 and 20 (0.636), and other items had an acceptable CVR. The lowest CVI value was related to item 1 of clarity and simplicity (0.818), and other items had an acceptable CVI. Intra-class correlation coefficient was 0.988 for all items of questionnaire. Furthermore, Cronbach's alpha coefficient was 0.952 for all items. In factor analysis, two factors were extracted from the items in questionnaire. Conclusion: The Persian version of GSEGC questionnaire has acceptable face, content and, constructs validity, test-retest reliability and high internal consistency in the target population. Therefore, the Persian version of the GSEGC can be used as a tool to assess 1-42 months sensory processing and socio-emotional development.

The accuracy of international and national fetal growth charts in detecting small-for-gestational-age infants using the Lambda-Mu-Sigma method.

Objective: To construct a national fetal growth chart using retrospective data and compared its diagnostic accuracy in predicting SGA at birth with existing international growth charts. Method: This is a retrospective study where datasets from May 2011 to Apr 2020 were extracted to construct the fetal growth chart using the Lambda-Mu-Sigma method. SGA is defined as birth weight <10th centile. The local growth chart's diagnostic accuracy in detecting SGA at birth was evaluated using datasets from May 2020 to Apr 2021 and was compared with the WHO, Hadlock, and INTERGROWTH-21st charts. Balanced accuracy, sensitivity, and specificity were reported. Results: A total of 68,897 scans were collected and five biometric growth charts were constructed. Our national growth chart achieved an accuracy of 69% and a sensitivity of 42% in identifying SGA at birth. The WHO chart showed similar diagnostic performance as our national growth chart, followed by the Hadlock (67% accuracy and 38% sensitivity) and INTERGROWTH-21st (57% accuracy and 19% sensitivity). The specificities for all charts were 95-96%. All growth charts showed higher accuracy in the third trimester, with an improvement of 8-16%, as compared to that in the second trimester. Conclusion: Using the Hadlock and INTERGROWTH-21st chart in the Malaysian population may results in misdiagnose of SGA. Our population local chart has slightly higher accuracy in predicting preterm SGA in the second trimester which can enable earlier intervention for babies who are detected as SGA. All growth charts' diagnostic accuracies were poor in the second trimester, suggesting the need of improvising alternative techniques for early detection of SGA to improve fetus outcomes.

International standard growth charts overestimate stunting prevalence in Nabire and Jakarta, Indonesia, compared to the Indonesian national growth chart.

Children's height in Indonesia is increasing slowly and unevenly across the country, with urban areas growing faster than rural areas. Thus, international growth charts may be ineffective for monitoring the development of Indonesian children. We conducted an analytical cross-sectional study on 1,829 children aged 6 to 12 in Nabire and 1,283 children in Jakarta. Anthropometric measurements were obtained and plotted on the Centers for Disease Control and Prevention (CDC) growth charts and Indonesian National Growth Charts to determine which chart is more suitable for monitoring children's growth in Indonesia. Nabire children were shorter and had lower body mass index (BMI) than Jakarta children, with a mean height difference of 7.03 cm in boys and 6.89 cm in girls (p = 0.001) and a mean BMI difference of 1.66 in boys and 1.39 in girls (p = 0.001). Despite their short stature, more Nabire children had a normal BMI, indicating a healthy nutritional status. Using the Indonesian National Growth Charts, fewer children were classified as stunted or wasted. Most of the short stature observed in Nabire children was not due to stunting; the children showed no signs of malnutrition. The Indonesian National Growth Charts represent the growth of Indonesian children more accurately than the CDC growth charts.

Prevalence of Obesity among Children and Adolescents in Saudi Arabia: A Multicenter Population-Based Study.

Background: Childhood obesity has increased in Saudi Arabia over the past few decades. However, a representative burden of obesity remains unclear, as most studies had relied on small samples and/or used international growth references, which may have resulted in over-or underestimations of prevalence. Objective: The study aimed to determine the prevalence of obesity among children and adolescents in Saudi Arabia using the Saudi growth chart. Methods: This population-based retrospective study included children and adolescents aged 2-19 years who visited any facility within the National Guard Health System (5 hospitals and 24 primary care centers) across Saudi Arabia between 2016 and 2021. The Saudi growth reference for children and adolescents was used for classification. Those with body mass index ≥95th percentile were considered as obese and ≥85th to <95th percentile as overweight. Chi-square tests were used to compare frequencies across groups. Results: A total of 351,195 children and adolescents were included, of which 337,316 (96%) were Saudis. Overall, about one-fifth of the population was overweight (11.2%) or obese (9.4%). The prevalence of obesity was highest among children aged 2-6 years (12.3%), and it was higher among boys (10.4%) than girls (8.3%). In terms of region, the prevalence of obesity among Saudis was highest in the Central and Eastern regions (9.9% for both). Conclusion: The findings highlight an urgent need for national interventions to focus on the upstream determinants of childhood obesity and to improve healthy options for children and adolescents in terms of food and physical activities.

Transgender and other gender diverse adolescents with eating disorders requiring medical stabilization.

BACKGROUND: Despite the high prevalence of eating disorders in gender diverse adolescents, little is known about the characteristics of gender diverse youth with eating disorders who require inpatient medical stabilization. The primary objective of this study was to describe the medical, anthropometric, and psychiatric characteristics of gender diverse adolescents hospitalized for eating disorders and compare these characteristics to cisgender peers hospitalized for eating disorders. The secondary objective was to evaluate percent median body mass index as one marker of malnutrition and treatment goal body mass index as a recovery metric between patients' birth-assigned sex and affirmed gender using standardized clinical growth charts. METHODS: A retrospective chart review was conducted of 463 patients admitted to an inpatient eating disorders medical unit between 2012 and 2020. To compare medical, anthropometric, and psychiatric data between gender diverse and cisgender patients, chi-square/Fisher's exact and t-tests were used. Clinical growth charts matching the patients' birth-assigned sex and affirmed gender identity were used to assess percent of median body mass index and treatment goal body mass index. RESULTS: Ten patients (2.2%) identified as gender diverse and were younger than cisgender patients [13.6 (1.5) years vs. 15.6 (2.7) years, p = 0.017]. Gender diverse patients were hospitalized with a higher percent median body mass index compared to cisgender peers [97.1% (14.8) vs. 87.9% (13.7), p = 0.037], yet demonstrated equally severe vital sign instability such as bradycardia [44 (8.8) beats per minute vs. 46 (10.6) beats per minute, p = 0.501], systolic hypotension [84 (7.1) mmHg vs. 84 (9.7) mmHg, p = 0.995], and diastolic hypotension [46 (5.8) mmHg vs. 45 (7.3) mmHg, p = 0.884]. Gender diverse patients had a higher prevalence of reported anxiety symptoms compared to cisgender patients (60% vs. 28%, p = 0.037). CONCLUSIONS: Gender diverse patients demonstrated complications of malnutrition including vital sign instability despite presenting with a higher weight. This is consistent with a greater proportion of gender diverse patients diagnosed with atypical anorexia nervosa compared to cisgender peers. Additionally, psychiatric comorbidities were present among both groups, with a larger percentage of gender diverse patients endorsing anxiety compared to cisgender patients.

Gender diverse is a term that includes gender identities such as (but not limited to) transgender, non-binary, and gender fluid. Eating disorders are becoming increasingly recognized among this population. In recent years there has been a better understanding of the risk factors and screening for eating disorders in the outpatient setting for gender diverse adolescents. However, the medical, anthropometric, and psychiatric characteristics of gender diverse adolescents with eating disorders requiring inpatient medical stabilization are poorly understood. This study examines these characteristics in gender diverse adolescents hospitalized for eating disorder-related medical complications from 2012 to 2020. Gender diverse adolescents presented for medical hospitalization with signs of malnutrition, including vital sign instability and laboratory abnormalities, as well as additional psychiatric diagnoses such as depression and anxiety. Understanding the medical, anthropometric, and psychiatric presentation of this population can lead to more tailored and comprehensive care with the potential to reduce the risks of adverse health outcomes.

Craniofacial Growth and Asymmetry in Newborns: A Longitudinal 3D Assessment.

OBJECTIVE: To evaluate the development of the craniofacial region in healthy infants and analyze the asymmetry pattern in the first year of life. METHODS: The participants were grouped by sex and age (1, 2, 4, 6, 9, and 12 months) to receive three-dimensional (3D) photographs. Stereoscopic craniofacial photos were captured and transformed into a series of craniofacial meshes in each group. The growth patterns of the anthropometric indices and the degree of craniofacial asymmetry were measured, and average craniofacial meshes and color-asymmetry maps with craniofacial asymmetry scores were calculated. RESULTS: A total of 373 photographs from 66 infants were obtained. In both genders, the highest and lowest growth rates for all anthropometric indices were noted between 1 and 2 months and between 9 and 12 months, respectively. Overall, male infants had higher anthropometric indices, head volume, and head circumference than female infants. The craniofacial asymmetry score was presented with a descending pattern from 1 to 12 months of age in both sex groups. Both sex groups showed decreased left-sided laterality in the temporal-parietal-occipital region between 1 and 4 months of age and increased right frontal-temporal prominence between 6 and 12 months of age. CONCLUSIONS: A longitudinal evaluation of the craniofacial growth of healthy infants during their first year of life was presented.

Predicción del crecimiento a los dos años utilizando las gráficas de Fenton e Intergrowth-21 en menores de 1.500 g / Growth outcome at 2 years using Fenton and Intergrowth-21st charts in infants less than 1500 g

Introducción: No existe consenso sobre qué gráfica neonatal es mejor utilizar en niños con muy bajo peso al nacer (MBPN). El objetivo del estudio fue comparar las gráficas de Fenton 2013 e Intergrowth-21st (IW-21) con base en su capacidad predictora de la somatometría a los dos años, así como analizar factores relacionados con talla baja a los dos años. Material y métodos: Cohorte de niños con MBPN nacidos entre 2002-2017. Se analizó la asociación entre la somatometría neonatal (z-score por Fenton e IW-21) y el riesgo de talla baja (< -2 desviación estándar [DS]), perímetro craneal < -2 DS y desnutrición a los 2 años (IMC < -2 DS) (gráficas OMS). Resultados: Se incluyeron 513 niños con una edad gestacional media de 30,05 ± 2,5 semanas. El z-score del peso al nacimiento y al alta por Fenton y por IW-21 resultaron útiles para predecir riesgo de talla baja y desnutrición a los dos años (sin diferencias en el AUC de las curvas ROC), siendo el z-score al alta útil además para predecir perímetro craneal < -2D. A los dos años, la prevalencia de talla baja, perímetro craneal < -2 DS, y desnutrición fue del 17,2, 4,1 y 6,1%, respectivamente. El bajo peso para la edad gestacional y la duración del ingreso neonatal se identificaron como factores de riesgo independientes para talla baja a los dos años. Conclusiones: El z-score peso al alta resulta útil para predecir riesgo de talla baja, desnutrición y perímetro craneal < -2 DS a los dos años en niños con muy bajo peso al nacer, sin diferencias estadísticas entre utilizar las gráficas de Fenton o IW-21. (AU)

Introduction: There is no consensus on which neonatal chart is best to use in very low birth weight (VLBW) infants. The aim of the study was to compare the Fenton 2013 and Intergrowth-21st (IW-21) charts based on their predictive ability for somatometry at 2 years, as well as to analyze factors related to short stature at 2 years. Material and methods: Cohort of children with VLBW born in 2002–2017. Association between neonatal somatometry (z-score by Fenton and IW-21) and risk of short stature (< −2 DS), head circumference < −2 DS and malnutrition at 2 years (BMI < −2 DS) was analyzed (WHO charts). Results: 513 children with a mean gestational age of 30.05 ± 2.5 weeks were included. Birth and discharge weight z-score by Fenton and IW-21 were useful for predicting risk of short stature and malnutrition at 2 years (without differences in the AUC of the ROC curves). Weight z-score at discharge was also useful for predicting head circumference < −2 DS. At 2 years, prevalence of short stature, head circumference < −2 DS, and malnutrition was 17.2, 4.1, and 6.1%, respectively. Low weight for gestational age and length of stay were identified as independent risk factors for short stature at 2 years. Conclusions: Discharge weight z-score is useful for predicting risk of short stature, malnutrition and head circumference < −2 DS at 2 years in very low birth weight children, with no statistical difference between using Fenton or IW-21 charts. (AU)

Health inequities start early in life, even before birth: Why race-specific fetal and neonatal growth references disadvantage Black infants.

Clinicians and researchers use published standards to assess and classify the size and growth of the fetus and newborn infant. Fetal growth is slower on average in Black fetuses as compared with White fetuses, and existing standards differ in whether they are race-specific or not. Here, we apply a health equity lens to the topic of fetal and newborn growth assessment by critically appraising two widely available growth standards. We conclude that using race-based standards is not well-justified and could perpetuate or even worsen inequities in perinatal health outcomes. We therefore recommend that neonatal and perinatal providers remove race from the assessment of fetal and newborn size.