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.

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.

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.

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.

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.

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.

A prenatal standard for fetal weight improves the prenatal diagnosis of small for gestational age fetuses in pregnancies at increased risk.

OBJECTIVE: Our aim was to assess diagnostic accuracy in the prediction of small for gestational age (SGA <10th centile) and fetal growth restricted (FGR) (SGA <3rd centile) fetuses using three different sonographic methods in pregnancies at increased risk of fetal growth restriction: 1) fetal abdominal circumference (AC) z-scores, 2) estimated fetal weight (EFW) z-scores according to postnatal reference standard; 3) EFW z-scores according to a prenatal reference standard. METHODS: Singleton pregnancies at increased risk of fetal growth restriction seen in two university hospitals between 2014 and 2015 were studied retrospectively. EFW was calculated using formulas proposed by the INTERGROWTH-21st project and Hadlock; data derived from publications by the INTEGROWTH-twenty-first century project and Hadlock were used to calculate z-scores (AC and EFW). The accuracy of different methods was calculated and compared. RESULTS: The study group included 406 patients. Prenatal standard EFW z-scores derived from INTERGROWTH-21st project and Hadlock and co-workers performed similarly and were more accurate in identifying SGA infants than using AC z-scores or a postnatal reference standard. The subgroups analysis demonstrated that EFW prenatal standard was more or similarly accurate compared to other methods across all subgroups, defined by gestational age and birth weight. CONCLUSIONS: Prenatal standard EFW z-scores derived from either INTERGROWTH-21 st project or Hadlock and co-workers publications demonstrated a statistically significant advantage over other biometric methods in the diagnosis of SGA fetuses.

Smoking influence on early and late fetal growth.

OBJECTIVES: Smoking during pregnancy is a leading and modifiable risk factor for fetal growth restriction (FGR) and low birthweight (<10th centile). We studied the effects of smoking in the development of early and late FGR or low birthweight, as well as in uteroplacental and fetoplacental hemodynamics of growth-restricted fetuses. METHODS: Retrospective cohort study of 5,537 consecutive singleton pregnancies delivered at ≤34 + 0 ("early delivery" group, n=95) and >34 + 0 ("late delivery" group, n=5,442) weeks of gestation. Each group was divided into smokers and non-smokers. Prenatal diagnosis of FGR was based on customized fetal growth standards and fetal Doppler, and postnatal birthweight was assessed using the Olsen newborn chart. RESULTS: There were 15/95 (15.8%) and 602/5,442 (11.1%) smokers in the early and late delivery groups, respectively. In early deliveries, FGR was diagnosed in 3/15 (20%) of smokers and in 20/80 (25%) of non-smokers (p=0.68). We also found no differences in birthweights and hemodynamics. In late deliveres, FGR was detected in 30/602 (5%) smokers and 64/4,840 (1.3%) non-smokers (p<0.001). Birthweights <3rd centile and <10th centile were more common in smokers vs. non-smokers: 38/602 (6.3%) vs. 87/4,840 (1.8%) and 89/602 (14.8%) vs. 288/4,840 (6%), respectively (all p<0.01). Fetal Doppler of late FGR showed slightly higher umbilical artery resistances in smokers. CONCLUSIONS: Smoking in pregnancy is associated with FGR, low birthweight and higher umbilical artery Doppler resistances after 34 weeks of gestation, but we could not confirm this association in earlier deliveries.

A United States national reference for foetal growth for Asian American ethnicities.

The purpose of this study was to calculate 10th, 50th, and 90th percentiles of birth weight for gestational age for the total US population and the Asian-American ethnicities. Using the US Natality data files for the years 1992-2020, estimated growth curves were determined across gestational ages and for each Asian American ethnic group-Chinese, Asian Indians, Japanese, Koreans, Filipino, and Vietnamese. Average weight at the 10th, 50th and 90th foetal growth percentiles by race/ethnicity and sex were calculated. Overall, for the 10th, 50th and 90th percentiles, Asian American average birth weight was 18, 90 and 144 g lower than the national average, respectively. We also found that Asian Indians consistently had the lowest birthweight, while Koreans had the highest birthweight among Asian Americans. Updated racial/ethnic-specific weight percentiles by gestational age can be a useful reference for accurate small and large-for-gestational age classifications among different Asian American sub-populations.Impact statementWhat is already known on this subject? Foetal growth is an important determinant of infants' immediate and long-term health outcomes and foetal growth reference curves have been developed to provide average birth weights for each week of gestation and identify growth-restricted as well as excess-weighing foetuses.What the results of this study add? Using the U.S. Natality data files for the years 1992-2020, estimated growth curves were determined across gestational ages and for each Asian American ethnic group-Chinese, Asian Indians, Japanese, Koreans, Filipino, and Vietnamese. Average weight at the 10th, 50th and 90th foetal growth percentiles by race/ethnicity and sex were calculated.What the implications are of these findings for clinical practice and/or further research? Updated racial/ethnic-specific weight percentiles by gestational age can be a useful reference for accurate small and large-for-gestational age classifications among different Asian American sub-groups.

Modeling sparse longitudinal data in early neurodevelopment.

Early childhood is a period marked by rapid brain growth accompanied by cognitive and motor development. However, it remains unclear how early developmental skills relate to neuroanatomical growth across time with no growth quantile trajectories of typical brain development currently available to place and compare individual neuroanatomical development. Even though longitudinal neuroimaging data have become more common, they are often sparse, making dynamic analyses at subject level a challenging task. Using the Principal Analysis through Conditional Expectation (PACE) approach geared towards sparse longitudinal data, we investigate the evolution of gray matter, white matter and cerebrospinal fluid volumes in a cohort of 446 children between the ages of 1 and 120 months. For each child, we calculate their dynamic age-varying association between the growing brain and scores that assess cognitive functioning, applying the functional varying coefficient model. Using local Fréchet regression, we construct age-varying growth percentiles to reveal the evolution of brain development across the population. To further demonstrate its utility, we apply PACE to predict individual trajectories of brain development.

Clinical charts for surveillance of growth and body proportion development in achondroplasia and examples of their use.

Clinical surveillance of infants and children with achondroplasia necessitates syndrome-specific charts due to extreme short stature with deviating body proportions. Height, arm span and leg length develop far below normal population ranges. We present growth and body proportion charts for ages 0-20 years, constructed from semi-longitudinal standardized measurements of about 450 children, along with some examples of achondroplasia typical and atypical growth pattern. We combine head circumference, height and weight for 0-4 years into one (infancy) page and height and weight for 4-20 years in another (childhood-adolescence) using nonlinear axes to account for the rapidly decreasing growth velocity. Similarly, weight and BMI are based on nonlinear axes to balance wide SD-channels at higher and narrow SD-channels at lower levels of weight/BMI. Charts for following sitting height, sitting height/height ratio, arm span, leg and foot length are also presented. Clinical examples illustrating the applicability of the charts include cases of extreme prematurity, extreme head circumference development before and after shunting, achondroplasia complicated by chromosomal or additional genetic abnormality and by growth hormone deficiency as well as of evaluating growth promoting therapy.

Comparative study on the early growth of preterm infants with the World Health Organization growth standards and the China growth charts.

BACKGROUND: This study focused on comparing the applicability and efficacy of the World Health Organization (WHO) growth standards and the China growth charts in diagnosing malnutrition and indicating nutritional interventions in preterm infants. METHODS: Six hundred and eighty-three preterm infants were involved and their anthropometric data were collected. The proportion of weight and head circumference less than the 10th percentile (P10 ), weight less than the 25th percentile (P25 ), and weight for length greater than the 90th percentile (P90 ) identified by the WHO growth standards and the China growth charts were compared. RESULTS: At corrected age (CA) 1 ~< 2 months (m), the proportion of head circumference P90 assessed by the WHO growth standards was greater than that assessed by the China growth charts. CONCLUSIONS: Compared with the China growth charts, the WHO growth standards can further reduce the number of diagnoses of abnormal physical growth, are more helpful in avoiding overnutrition interventions, and are more sensitive in the early detection of delayed head circumference growth.

Provider Preference for Growth Charts in Tracking Children with Obesity.

A web-based survey of pediatric care providers revealed differences in their preference for clinical charts that monitor growth in children with obesity. These findings are attributed to pediatric specialty training. Very few providers believe the currently available Centers for Disease Control and Prevention 2000 body mass index-for-age charts adequately track growth in children with obesity.

Overweight and obesity prevalence among upper Egypt primary schools' children using Egyptian and CDC growth charts.

BACKGROUND: Monitoring of overweight and obesity among children; by using different growth charts; is fundamental to disease prevention and health promotion. AIM OF THE STUDY: To determine overweight and obesity for age among primary school children in Upper Egypt using the Egyptian and CDC growth charts. SUBJECTS AND METHODS: Cross-sectional research design was used and conducted at 20 public primary schools in four Upper Egypt governorates. The sample size was 5300 children who selected by multistage sampling technique. Interview questionnaire included personal data and anthropometric measurements (height, Weight and BMI) and Egyptian and CDC growth charts. RESULTS: The percentages of children being overweight and obese for age using Egyptian chart were low compared to CDC charts (1.9 vs 4.6%, 8.5% vs. 3.3%, 8.7% vs 3.3% respectively). According to Egyptian chart 5.2% and 5% from total studied boys and girls were overweight and obese respectively, while in CDC growth chart 13.3% and 10.5% from total studied boys and girls respectively. CONCLUSION: It concluded that there were remarkable differences between CDC and Egyptian growth charts references in the classification of child overweight and obesity. The CDC growth chart evident much higher prevalence among the studied children compared to the Egyptian growth chart. RECOMMENDATION: Periodic development and reconstruction of national growth chart to represent the growth pattern of all geographical areas in Egypt. Also, further researches needed to assess the differences of both international and national references.

Determination of Body Fat Ratio Standards in Children at Early School Age Using Bioelectric Impedance.

Background and objectives: Body mass index (BMI) is commonly used to assess the proportionality of body mass; however, there are currently no standards for assessing the weight status of the child population for the needs of epidemiological studies. This study aims to establish bioelectric impedance analysis (BIA) standards for assessing the body weight of children (body fat, visceral fat) using BMI percentile growth charts. Materials and Methods: The study was implemented in a group of 1674 children (816 boys and 858 girls), ages 6 to 11. To classify the subjects at a percentile level, the percentile growth charts from the 6th national anthropological study in the Czech Republic were used. Body composition parameters were ascertained by BIA. Results: Body fat (%) and visceral fat standard values were determined for all age categories. The standards were in three-stages, enabling the determination of underweight, normal weight and overweight children aged 6-11 years. For boys with proportionate body mass, standard body fat values ranging from 14.3-16.0% to 15.5-18.0% were determined, while for girls' values ranging from 16.7-19.4% to 18.3-20.5% were determined, depending on age. As far as visceral fat is concerned, standard values in boys ranging from 30.3-36.9 cm2 to 36.1-44.9 cm2 and in girls 30.3-36.9 cm2 to 36.1-44.9 cm2 were determined, depending on age. Conclusions: Standards for assessing weight status are applicable to children aged 6-11 years, while it can be confirmed that BMI can be considered as an objective tool in assessing body mass and body composition in children.

Growth Charts for Tribal, School-Going Children in Jharkhand Using Anthropometry and Lambda-Mu-Sigma Methods to Create Growth Charts.

BACKGROUND: This study intends to find the growth patterns of selected school children. Globally accepted statistical methods were used to evaluate the data and prepare a growth chart. METHODS: This cross-sectional study was conducted with school-going children from 16 selected schools of a tribal district in Jharkhand using multistage cluster random sampling. In each selected school, 60 students, 30 boys and 30 girls, were chosen randomly, totaling 960 children (full data was for 935 children only). Growth charts were created using Lambda-Mu-Sigma (LMS) chart maker version 2.5 for height, weight and body mass index (BMI). In the charts, the LMS values with Z scores for each age and respective height and weight for boys and girls were recorded. RESULTS: The 468 boys and 467 girls were in the range of 6-14 years of age. Percentile values obtained for the measured heights in centimetres were evaluated and compared with Indian Academy of Pediatrics reference charts for boys and girls for the same age group, and our values were found to be on the lower side. We were able to plot a growth chart of the data set; as the tribal children's ethnicity is different, this growth chart might be used to assess nutritional status. CONCLUSION: We concluded that growth curves for height, weight, and BMI may be used for evaluating children of age 6-14 years in the tribal population. The measures can be a good indicator of their nourishment status and overall growth patterns, which might be indigenous to their ethnicity. A larger sample size of similar tribal populations may give a clearer picture.

Effect of maternal mental health during pregnancy on infant growth at six months of age in Suburban communities in South of Iran.

Background: Due to the controversial effects of mental health disorders during pregnancy on infant health, the present study aimed to evaluate the effect of gestational depression, stress, and anxiety on the growth of offspring at six months of age in disadvantaged communities in South of Iran. Methods: The sample comprised of 470 pregnant women (response rate=98%) who are participated in the Bandar Abbas Pregnancy Cohort study. Maternal mental health was measured by the DASS-21 questionnaire during pregnancy. Data on infant growth was collected based on infant`s growth chart at six months of age. The relative risk of suboptimal infant growth was calculated by Modified Poisson regression models at 5% significant level. Results: The prevalence of depression, anxiety, and stress was 19.0%, 26.1% and 6.5%, respectively. At six months of age, the mean (SD) of infant`s weight (gram), height (cm) and head circumference (cm) were 7287.30 (1019.85), 63.23 (5.62) and 41.39 (2.70), respectively. Compared to normal mothers, the risk of suboptimal weight at six months of age significantly increased by 71% in mothers who were classified as having depression (Adjusted RR: 1.71, 95% CI: 1.07, 2.09). The presence of anxiety significantly increased the risk of suboptimal height at six months of age by 43% (ARR: 1.43, 95% CI: 1.07, 1.92). There were no statistically significant effects of either depression anxiety or stress on the suboptimal head circumference at six months of age. Conclusion: Our results showed that mental health disorders of pregnant women might adversely influence the weight and height growth of offspring within the first six months of age. Screening protocols to early diagnose of mental health disorders during pregnancy, and to strict follow up of diagnosed cases postpartum are proposed.

Adverse perinatal outcomes in immigrants: A ten-year population-based observational study and assessment of growth charts.

BACKGROUND: Maternity populations are becoming increasingly multiethnic. Conflicting findings exist regarding the risk of adverse perinatal outcomes among immigrant mothers from different world regions and which growth charts are most appropriate for identifying the risk of adverse outcomes. OBJECTIVE: To evaluate whether infant mortality and morbidity, and the categorisation of infants as small for gestational age or large for gestational age (SGA or LGA) vary by maternal country of birth, and to assess whether the choice of growth chart alters the risk of adverse outcomes in infants categorised as SGA and LGA. METHODS: A population cohort of 601 299 singleton infants born in Australia to immigrant mothers was compared with 1.7 million infants born to Australian-born mothers, 2004-2013. Infants were categorised as SGA and LGA according to a descriptive Australian population-based birthweight chart (Australia-2012 reference) and the prescriptive INTERGROWTH-21st growth standard. Propensity score reweighting was used for the analysis. RESULTS: Compared to Australian-born infants, infants of mothers from Africa, Philippines, India, other Asia countries, and the Middle East had between 15.4% and 48.1% elevated risk for stillbirth, preterm delivery, or low Apgar score. The association between SGA and LGA and perinatal mortality varied markedly by growth chart and country of birth. Notably, SGA infants from African-born mothers had a relative risk of perinatal mortality of 6.1 (95% CI 4.3, 6.7) and 17.3 (95% CI 12.0, 25.0) by the descriptive and prescriptive charts, respectively. LGA infants born to Australian-born mothers were associated with a 10% elevated risk of perinatal mortality by the descriptive chart compared to a 15% risk reduction by the prescriptive chart. CONCLUSIONS: Country-of-birth-specific variations are becoming increasingly important for providing ethnically appropriate and safe maternity care. Our findings highlight significant variations in risk of adverse perinatal outcomes in immigrant subgroups, and demonstrate how the choice of growth chart alters the quantification of risk associated with being born SGA or LGA.

Growth monitoring and promotion practices among health workers may be suboptimal despite high knowledge scores.

BACKGROUND: The child health record booklet (CHRB) is a powerful tool for screening children under five and for education of caregivers by health workers. The objective of the present study was to assess the knowledge and utilization of CHRB by mothers and health workers in child growth monitoring and promotion (GMP) in the East Mamprusi Municipal, Northern region, Ghana. METHODS: A descriptive cross-sectional study was conducted among mothers attending child welfare clinics (CWC) and health workers providing GMP at CWC. Observational checklists were used to assess 73 CHRB on the completeness and correctness of growth charts. Mothers and health workers' knowledge on essential components of CHRB were assessed with a questionnaire. RESULTS: Weight measurements were correctly recorded in all booklets analyzed. Even though a greater proportion (70.7%) of health workers exhibited high knowledge scores on the interpretation of the essential components of the CHRB,most of the charts analyzed were not completely filled (72.6%) but rather correctly filled (74.0%). Mean knowedge score (3.4 ± 1.3) on growth charting was low among mothers who attend GMP. Work overload (26.1%), inadequate supply of CHRB (26.1%) and vaccine shortages (18.7%) were concerns raised by health workers on the effective usage of the CHRB. CONCLUSION: Knowledge scores on the child health record booklets among health workers and mothers in this part of northern Ghana were high but charting of growth of children was sub-optimal among health workers.

Introduction of a customised growth chart protocol increased detection of small for gestational age pregnancies in a tertiary Melbourne hospital.

BACKGROUND: Growth charts customised for maternal height, weight, ethnicity and parity have been proposed as more effective at detecting infants who are small for gestational age (SGA) than routine screening with symphysio-fundal height measurement alone. Our non-randomised, prospective cohort study assessed antenatal SGA detection rates in a general maternity cohort following the introduction of the Perinatal Institute's Growth Assessment Protocol (GAP) program (consisting of customised growth chart software for plotting symphysio-fundal height, staff training and serial auditing). METHODS: The GAP program was implemented into the routine antenatal schedule of 882 women who delivered at The Royal Women's Hospital, Melbourne, during our study period. SGA detection was compared to 936 women from the same team who delivered prior to the intervention. Secondary outcomes assessed were infant gestation at birth and method of delivery, neonatal Apgar scores and admission to the Neonatal Intensive and Special Care nursery (NISC). RESULTS: Identification of SGA infants increased from 21% to 41% with the introduction of the GAP program (OR 2.6, 95% CI 1.3-4.9, P < 0.05). This was not associated with an increase in false-positive rates. Following the introduction of the GAP Program, SGA babies were more likely to be born by vaginal delivery (OR 2.7; 95% CI 1.4-5.1, P < 0.005). There was no overall increase in the induction of labour or caesarean delivery rates. Overall rates of admission to NISC were reduced. CONCLUSIONS: In our increasingly culturally heterogenous society, the use of the GAP program is a safe and potentially more sensitive tool for detecting in utero growth restriction.