Near-Infrared Spectroscopy to Monitor Nutritional Status of Neonates: A Review.

The World Health Organization reported that half or more of all under five deaths were caused by undernutrition in developing countries, with the majority of these deaths occurring in the first week of life. Even if the undernourished neonates manage to survive, they are exposed to long-term health impacts, including obesity, cardiovascular disease, and hypertension. Along with those health-impacts they can be exposed to risks related to detrimental early development, such as physical impairment, stunting, brain dysfunction, and reduced cognitive development. Body fat percentage has been recognized to be closely associated with undernutrition in neonates. In this article, the potential of near infrared spectroscopy (NIRS), along with previous methods to measure body fat in neonates, is reviewed and discussed.

An anthropometric approach to characterising neonatal morbidity and body composition, using air displacement plethysmography as a criterion method.

BACKGROUND: With the greatest burden of infant undernutrition and morbidity in low and middle income countries (LMICs), there is a need for suitable approaches to monitor infants in a simple, low-cost and effective manner. Anthropometry continues to play a major role in characterising growth and nutritional status. METHODS: We developed a range of models to aid in identifying neonates at risk of malnutrition. We first adopted a logistic regression approach to screen for a composite neonatal morbidity, low and high body fat (BF%) infants. We then developed linear regression models for the estimation of neonatal fat mass as an assessment of body composition and nutritional status. RESULTS: We fitted logistic regression models combining up to four anthropometric variables to predict composite morbidity and low and high BF% neonates. The greatest area under receiver-operator characteristic curves (AUC with 95% confidence intervals (CI)) for identifying composite morbidity was 0.740 (0.63, 0.85), resulting from the combination of birthweight, length, chest and mid-thigh circumferences. The AUCs (95% CI) for identifying low and high BF% were 0.827 (0.78, 0.88) and 0.834 (0.79, 0.88), respectively. For identifying composite morbidity, BF% as measured via air displacement plethysmography showed strong predictive ability (AUC 0.786 (0.70, 0.88)), while birthweight percentiles had a lower AUC (0.695 (0.57, 0.82)). Birthweight percentiles could also identify low and high BF% neonates with AUCs of 0.792 (0.74, 0.85) and 0.834 (0.79, 0.88). We applied a sex-specific approach to anthropometric estimation of neonatal fat mass, demonstrating the influence of the testing sample size on the final model performance. CONCLUSIONS: These models display potential for further development and evaluation in LMICs to detect infants in need of further nutritional management, especially where traditional methods of risk management such as birthweight for gestational age percentiles may be variable or non-existent, or unable to detect appropriately grown, low fat newborns.

Length-free near infrared measurement of newborn malnutrition.

Under-nutrition in neonates can cause immediate mortality, impaired cognitive development and early onset adult disease. Body fat percentage measured using air-displacement-plethysmography has been found to better indicate under-nutrition than conventional birth weight percentiles. However, air-displacement-plethysmography equipment is expensive and non-portable, so is not suited for use in developing communities where the burden is often the greatest. We proposed a new body fat measurement technique using a length-free model with near-infrared spectroscopy measurements on a single site of the body - the thigh. To remove the need for length measurement, we developed a model with five discrete wavelengths and a sex parameter. The model was developed using air-displacement-plethysmography measurements in 52 neonates within 48 hours of birth. We identified instrumentation required in a low-cost LED-based screening device and incorporated a receptor device that can increase the amount of light collected. This near-infrared method may be suitable as a low cost screening tool for detecting body fat levels and monitoring nutritional interventions for malnutrition in neonates and young children in resource-constrained communities.

Antenatal management of gestational diabetes mellitus can improve neonatal outcomes.

OBJECTIVE: Pregnancies complicated with gestational diabetes mellitus (GDM) are at a higher risk for caesarean and instrumental deliveries as well as adverse neonatal outcomes such as fetal overgrowth, hypoglycaemia and neonatal intensive care admission. Our primary objective was to describe neonatal outcomes in a sample that included term infants of both GDM mothers and mothers with normal glucose tolerance (NGT). DESIGN AND SETTING: this cross-sectional study included 599 term babies born between September and October 2010 at Royal Prince Alfred Hospital, Sydney, Australia. Maternal and neonatal data were collected from medical records and a questionnaire. Glycaemic control data was based on third trimester HbA1c levels and self-monitoring blood glucose levels (BGL). Univariate associations between GDM status and maternal demographic factors, as well as pregnancy outcomes, were estimated using χ(2) tests and t-tests, as appropriate. FINDINGS: of 599 babies, 67(11%) were born to GDM mothers. GDM mothers were more likely to be overweight/obese and of Asian ethnicity. Good glycaemic control was achieved in most GDM mothers. GDM babies were more likely to have been induced (p=0.013) and delivered earlier than non-GDM mothers (p<0.001), and they were also more likely to be breastfed within one hour of birth. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: in this study, GDM infants were more likely to be induced and delivered earlier but otherwise they did not have significantly different neonatal outcomes compared to infants of NGT mothers. This can be attributed to the good GDM control by lifestyle modification and insulin if necessary. The role of labour induction in GDM pregnancies should be further investigated. Midwives have an important role in maternal education during pregnancy and in the postnatal period.

Planned early delivery versus expectant management of the term suspected compromised baby for improving outcomes.

BACKGROUND: Fetal compromise in the term pregnancy is suspected when the following clinical indicators are present: intrauterine growth restriction (IUGR), decreased fetal movement (DFM), or when investigations such as cardiotocography (CTG) and ultrasound reveal results inconsistent with standard measurements. Pathological results would necessitate the need for immediate delivery, but the management for 'suspicious' results remains unclear and varies widely across clinical centres. There is clinical uncertainty as to how to best manage women presenting with a suspected term compromised baby in an otherwise healthy pregnancy. OBJECTIVES: To assess, using the best available evidence, the effects of immediate delivery versus expectant management of the term suspected compromised baby on neonatal, maternal and long-term outcomes. SEARCH METHODS: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (31 May 2015) and reference lists of retrieved studies. SELECTION CRITERIA: Randomised or quasi-randomised controlled trials comparing expectant management versus planned early delivery for women with a suspected compromised fetus from 37 weeks' gestation or more. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trials for inclusion and assessed trial quality. Two review authors independently extracted data. Data were checked for accuracy. We assessed the quality of the evidence using the GRADE approach. MAIN RESULTS: Of the 20 reports identified by the search strategy, we included three trials (546 participants: 269 to early delivery and 277 to expectant management), which met our inclusion criteria. Two of the trials compared outcomes in 492 pregnancies with IUGR of the fetus, and one in 54 pregnancies with oligohydramnios. All three trials were of reasonable quality and at low risk of bias. The level of evidence was graded moderate, low or very low, downgrading mostly for imprecision and for some indirectness. Overall, there was no difference in the primary neonatal outcomes of perinatal mortality (no deaths in either group, one trial, 459 women, evidence graded moderate), major neonatal morbidity (risk ratio (RR) 0.15, 95% confidence interval (CI) 0.01 to 2.81, one trial, 459 women, evidence graded low), or neurodevelopmental disability/impairment at two years of age (RR 2.04, 95% CI 0.62 to 6.69,one trial, 459 women, evidence graded low). There was no difference in the risk of necrotising enterocolitis (one trial, 333 infants) or meconium aspiration (one trial, 459 infants), There was also no difference in the reported primary maternal outcomes: maternal mortality (RR 3.07, 95% CI 0.13 to 74.87, one trial, 459 women, evidence graded low), and significant maternal morbidity (RR 0.92, 95% CI 0.38 to 2.22, one trial, 459 women, evidence graded low).The gestational age at birth was on average 10 days earlier in women randomised to early delivery (mean difference (MD) -9.50, 95% CI -10.82 to -8.18, one trial, 459 women) and women in the early delivery group were significantly less likely to have a baby beyond 40 weeks' gestation (RR 0.10, 95% CI 0.01 to 0.67, one trial, 33 women). Significantly more infants in the planned early delivery group were admitted to intermediate care nursery (RR 1.28, 95% CI 1.02 to 1.61, two trials, 491 infants). There was no difference in the risk of respiratory distress syndrome, (one trial, 333 infants), Apgar score less than seven at five minutes (three trials, 546 infants), resuscitation required (one trial, 459 infants), mechanical ventilation (one trial, 337 infants), admission to neonatal intensive care unit (NICU) (RR 0.88, 95% CI 0.35 to 2.23, three trials, 545 infants, evidence graded very low), length of stay in NICU/SCN (one trial, 459 infants), and sepsis (two trials, 366 infants).Babies in the expectant management group were more likely to be < 2.3rd centile for birthweight (RR 0.51, 95% CI 0.36 to 0.73, two trials, 491 infants), however there was no difference in the proportion of babies with birthweight < 10th centile (RR 0.98, 95% CI 0.88 to 1.10). There was no difference in any of the reported maternal secondary outcomes including: caesarean section rates (RR 1.02, 95% CI 0.65 to 1.59, three trials, 546 women, evidence graded low), placental abruption (one trial, 459 women), pre-eclampsia (one trial, 459 women), vaginal birth (three trials 546 women), assisted vaginal birth (three trials 546 women), breastfeeding rates (one trial, 218 women), and number of weeks of breastfeeding after delivery one trial, 124 women). There was an expected increase in induction in the early delivery group (RR 2.05, 95% CI 1.78 to 2.37, one trial, 459 women).No data were reported for the pre-specified secondary neonatal outcomes of the number of days of mechanical ventilation, moderate-severe hypoxic ischaemic encephalopathy or need for therapeutic hypothermia. Likewise, no data were reported for secondary maternal outcomes of postnatal infection, maternal satisfaction or views of care. AUTHORS' CONCLUSIONS: A policy for planned early delivery versus expectant management for a suspected compromised fetus at term does not demonstrate any differences in major outcomes of perinatal mortality, significant neonatal or maternal morbidity or neurodevelopmental disability. In women randomised to planned early delivery, the gestational age at birth was on average 10 days earlier, women were less likely to have a baby beyond 40 weeks' gestation, they were more likely to be induced and infants were more likely to be admitted to intermediate care nursery. There was also a significant difference in the proportion of babies with a birthweight centile < 2.3rd, however this did not translate into a reduction in morbidity. The review is informed by only one large trial and two smaller trials assessing fetuses with IUGR or oligohydramnios and therefore cannot be generalised to all term pregnancies with suspected fetal compromise. There are other indications for suspecting compromise in a fetus at or near term such as maternal perception of DFM, and ultrasound and/or CTG abnormalities. Future randomised trials need to assess effectiveness of timing of delivery for these indications.

Customised versus population-based growth charts as a screening tool for detecting small for gestational age infants in low-risk pregnant women.

BACKGROUND: Fetal growth restriction is defined as failure to reach growth potential and considered one of the major complications of pregnancy. These infants are often, although not universally, small for gestational age (SGA). SGA is defined as a weight less than a specified percentile (usually the 10th percentile). Identification of SGA infants is important because these infants are at increased risk of perinatal morbidity and mortality. Screening for SGA is a challenge for all maternity care providers and current methods of clinical assessment fail to detect many infants who are SGA. Large observational studies suggest that customised growth charts may be better able to differentiate between constitutional and pathologic smallness. Customised charts adjust for physiological variables such as maternal weight and height, ethnicity and parity. OBJECTIVES: To assess the benefits and harms of using population-based growth charts compared with customised growth charts as a screening tool for detection of fetal growth in pregnant women. SEARCH METHODS: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (12 March 2014), reviewed published guidelines and searched the reference lists of review articles. SELECTION CRITERIA: Randomised, quasi-randomised or cluster-randomised clinical trials comparing customised versus population-based growth charts used as a screening tool for detection of fetal growth in pregnant women. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trials for inclusion. MAIN RESULTS: No randomised trials met the inclusion criteria. AUTHORS' CONCLUSIONS: There is no randomised trial evidence currently available. Further randomised trials are required to accurately assess whether the improvement in detection shown is secondary to customised charts alone or an effect of the policy change. Future research in large trials is needed to investigate the benefits and harms (including perinatal mortality) of using customised growth charts in different settings and for both fundal height and ultrasound measurements.

Is body fat percentage a better measure of undernutrition in newborns than birth weight percentiles?

BACKGROUND: Undernutrition in neonates increases the risk of serious morbidities. The objective of this study was to describe neonatal morbidity associated with low body fat percentage (BF%) and measure the number of undernourished neonates defined by BF% and compare this with birth weight percentiles (<10th). METHODS: Eligibility included term (≥37 wk) neonates. BF% measurements were undertaken by air displacement plethysmography. Data on neonatal outcomes were extracted from medical records and used to develop a measure of neonatal morbidity. We assessed the association between neonatal morbidity and population-based birth weight percentiles compared with the BF% measurements. RESULTS: Five hundred and eighty-one neonates were included. Low BF% was defined by 1 SD below the mean and identified in 73 per 1,000 live births. Neonatal morbidity was found in 3.4% of neonates. Birth weight percentile was associated with neonatal morbidity (odds ratio (OR): 1.03 (95% confidence interval (CI): 1.01, 1.05); P = <0.001). BF% was associated with a higher risk of neonatal morbidity (OR: 1.30 (95% CI: 1.15, 1.47); P = <0.001). CONCLUSION: In this population, measuring BF% is more closely associated with identification of neonates at risk of neonatal morbidity as compared with birth weight percentiles. BF% measurements could assist with identifying neonates who are appropriately grown yet undernourished and exclude small neonates not at risk.

Fetal and maternal factors associated with neonatal adiposity as measured by air displacement plethysmography: a large cross-sectional study.

BACKGROUND: There is evidence that the fetal and early postnatal environments play a role in determining the risk of lifetime obesity, diabetes and cardiovascular disease. Neonatal body composition, as a surrogate marker of the in-utero environment, can be reliably and accurately measured by air displacement plethysmography (ADP). Our primary objective was to identify preconception, fetal and maternal factors affecting neonatal body composition. METHODS: This cross-sectional study included 599 term babies born between September and October 2010 at Royal Prince Alfred Hospital, Sydney, Australia. Neonatal body fat percentage (BF%) was measured within 48 h of birth using ADP. Maternal demographic, anthropometric and medical data as well as neonatal gestational age and sex were used to develop a regression model that predicted body composition and birthweight. RESULTS: The mean (SD) neonatal BF% in our whole population was 9.2(4.4)%. Significant variables in the model for neonatal BF% were neonatal sex, gestational age, maternal ethnicity, gestational weight gain (GWG), pre-pregnancy BMI, parity and maternal hypertension (p<0.05); together, these explained 19% of the variation in BF%. GDM status was not a significant variable. Neonatal female sex, maternal Caucasian ethnicity and increased gestational weight gain explained the most variation and were most strongly associated with increased BF%. CONCLUSIONS: This study highlights maternal obesity and increased gestational weight gain as two factors that are amenable to intervention as risk factors for newborn adiposity, which is important in the future study of the "developmental origins of health and disease" hypothesis.

Customized versus population-based birth weight charts for the detection of neonatal growth and perinatal morbidity in a cross-sectional study of term neonates.

Customized birth weight charts that incorporate maternal characteristics are now being adopted into clinical practice. However, there is controversy surrounding the value of these charts in the prediction of growth and perinatal outcomes. The objective of this study was to assess the use of customized charts in predicting growth, defined by body fat percentage, and perinatal morbidity. A total of 581 term (≥37 weeks' gestation) neonates born in Sydney, Australia, in 2010 were included. Body fat percentage measurements were taken by using air displacement plethysmography. Objective composite measurements of perinatal morbidity were used to identify neonates who had poor outcomes; these data were extracted from medical records. The value of customized charts was assessed by calculating positive predictive values, negative predictive values, and odds ratios with 95% confidence intervals. Customized versus population-based charts did not improve the prediction of either low body fat percentage (59% vs. 66% positive predictive value and 87% vs. 89% negative predictive value, respectively) or high body fat percentage (48% vs. 53% positive predictive value and 90% vs. 89% negative predictive value, respectively). Customized charts were not better than population-based charts at predicting perinatal morbidity (for customized charts, odds ratio = 1.02, 95% confidence interval: 1.01, 1.04; for population-based charts, odds ratio = 1.03, 95% confidence interval: 1.01, 1.05) per percentile decrease in birth weight. Customized birth weight charts do not provide significant improvements over population-based charts in predicting neonatal growth and morbidity.

Audit of a clinical guideline for neonatal hypoglycaemia screening.

AIM: This study aims to evaluate adherence to a clinical guideline for screening and prevention of neonatal hypoglycaemia on the post-natal wards. METHODS: Retrospective chart review of 581 healthy term neonates born at a tertiary maternity hospital. Indications for hypoglycaemia screening included small for gestational age (SGA), infants of diabetic mothers (IDM; gestational, Type 1 or 2), symptomatic hypoglycaemia, macrosomia and wasted (undernourished) appearance. Outcomes were protocol entry and adherence with hypoglycaemia prevention strategies including early and frequent feeding and timely blood glucose measurement. RESULTS: Of 115 neonates screened for hypoglycaemia, 67 were IDM, 19 were SGA (including two both IDM and SGA), and two were macrosomic. One IDM and one SGA were not screened. Twenty-two neonates were screened for a reason not identifiable from the medical record, and 13 neonates were SGA by a definition different to the guideline definition, including five who were also IDM. Guideline adherence was variable. Few neonates (41 of 106, 39%) were fed in the first post-natal hour, and blood glucose measurement occurred later than recommended for 41 of 106 (39%) of neonates. CONCLUSIONS: Most IDM and SGA neonates were screened. While guideline adherence overall was comparable with other studies, neonates were fed late. We recommend staff education about benefits of early (within the first hour) frequent breastfeeding for neonates at risk.

Neonatal length inaccuracies in clinical practice and related percentile discrepancies detected by a simple length-board.

AIM: The study aims to assess accuracy of standard practice measurement of neonatal length compared with a gold-standard length-board technique. METHODS: Data were obtained from a population-based, cross-sectional study of 602 term babies at Royal Prince Alfred Hospital, Sydney, Australia, in 2010. Neonatal length was measured by standard clinical practice and by a length-board (gold standard) and measurements compared. Standard growth curve percentiles were used to plot length measurements. The Bland and Altman method was used to assess agreement, and acceptable levels of agreement were set at ≤1 cm and ≤0.5 cm. RESULTS: The limits of agreement were between -3.06 cm (95% CI -3.08 to -3.04) and 2.67 cm (95% CI 2.65 to 2.69). Neonates whose standard-practice length fell within 0.5 cm of the gold standard totalled 41% (241 neonates), while 59% (342) were >0.5 cm. The change in length resulted in a change in the percentile range of 53% (309) on a standard growth curve percentile. When examining neonates whose length was plotted at the extremes of percentile regions, the positive predictive value results of the standard practice compared with the gold standard were poor, with positive predictive values of 37.5%, 57.1% and 31.3% for neonates who were measured as <3rd, <10th and ≥90th percentile, respectively. CONCLUSIONS: In current clinical practice, measures of neonatal length are often inaccurate, which has implications for potentially erroneous clinical care. Health-care providers should be educated on the importance of length and trained in how to measure length with the correct technique using a length-board.

Body composition is normal in term infants born to mothers with well-controlled gestational diabetes mellitus.

OBJECTIVE: This study aims to describe body composition in term infants of mothers with gestational diabetes mellitus (GDM) compared with infants of mothers with normal glucose tolerance (NGT). RESEARCH DESIGN AND METHODS: This cross-sectional study included 599 term babies born at Royal Prince Alfred Hospital, Sydney, Australia. Neonatal body fat percentage (BF%) was measured within 48 h of birth using air-displacement plethysmography. Glycemic control data were based on third-trimester HbA(1c) levels and self-monitoring blood glucose levels. Associations between GDM status and BF% were investigated using linear regression adjusted for relevant maternal and neonatal variables. RESULTS: Of 599 babies, 67 (11%) were born to mothers with GDM. Mean ± SD neonatal BF% was 7.9 ± 4.5% in infants with GDM and 9.3 ± 4.3% in infants with NGT, and this difference was not statistically significant after adjustment. Good glycemic control was achieved in 90% of mothers with GDM. CONCLUSIONS: In this study, neonatal BF% did not differ by maternal GDM status, and this may be attributed to good maternal glycemic control.

Prediction of fat-free mass and percentage of body fat in neonates using bioelectrical impedance analysis and anthropometric measures: validation against the PEA POD.

Accurate assessment of neonatal body composition is essential to studies investigating neonatal nutrition or developmental origins of obesity. Bioelectrical impedance analysis or bioimpedance analysis is inexpensive, non-invasive and portable, and is widely used in adults for the assessment of body composition. There are currently no prediction algorithms using bioimpedance analysis in neonates that have been directly validated against measurements of fat-free mass (FFM). The aim of the study was to evaluate the use of bioimpedance analysis for the estimation of FFM and percentage of body fat over the first 4 months of life in healthy infants born at term, and to compare these with estimations based on anthropometric measurements (weight and length) and with skinfolds. The present study was an observational study in seventy-seven infants. Body fat content of infants was assessed at birth, 6 weeks, 3 and 4·5 months of age by air displacement plethysmography, using the PEA POD body composition system. Bioimpedance analysis was performed at the same time and the data were used to develop and test prediction equations for FFM. The combination of weight+sex+length predicted FFM, with a bias of < 100 g and limits of agreement of 6-13 %. Before 3 months of age, bioimpedance analysis did not improve the prediction of FFM or body fat. At 3 and 4·5 months, the inclusion of impedance in prediction algorithms resulted in small improvements in prediction of FFM, reducing the bias to < 50 g and limits of agreement to < 9 %. Skinfold measurements performed poorly at all ages.

Customised versus population-based growth charts as a screening tool for detecting small for gestational age infants in low-risk pregnant women.

BACKGROUND: Fetal growth restriction is defined as failure to reach growth potential and considered one of the major complications of pregnancy. These infants are often, although not universally, small for gestational age (SGA). SGA is defined as a weight less than a specified percentile (usually the 10th percentile). Identification of SGA infants is important because these infants are at increased risk of perinatal morbidity and mortality. Screening for SGA is a challenge for all maternity care providers and current methods of clinical assessment fail to detect many infants that are SGA. Large observational studies suggest that customised growth charts may be better able to differentiate between constitutional and pathologic smallness. Customised charts adjust for physiological variables such as maternal weight and height, ethnicity and parity. OBJECTIVES: To assess the benefits and harms of using population-based growth charts compared with customised growth charts as a screening tool for detection of fetal growth in pregnant women. SEARCH METHODS: We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (30 September 2011), reviewed published guidelines and searched the reference lists of review articles. SELECTION CRITERIA: Randomised, quasi-randomised or cluster randomised clinical trials comparing customised versus population-based growth charts used as a screening tool for detection of fetal growth in pregnant women. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trials for inclusion. MAIN RESULTS: No randomised trials met the inclusion criteria. AUTHORS' CONCLUSIONS: There is no randomised trial evidence currently available. Further randomised trials are required to accurately assess whether the improvement in detection shown is secondary to customised charts alone or an effect of the policy change. Future research in large trials is needed to investigate the benefits and harms (including perinatal mortality) of using customised growth charts in different settings and for both fundal height and ultrasound measurements.

Body composition from birth to 4.5 months in infants born to non-obese women.

Infant body composition is affected by maternal obesity, which results in increased % body fat in the infant. With the rapidly increasing incidence of obesity, it is important that normative data are available for infant body composition that is not affected by this trend in maternal obesity. This study assessed body composition in infants born at term to women with a BMI between 18.5 and 25. Infant % body fat, fat mass (FM), and fat free mass (FFM) were assessed at birth, 6 wk, 3 mo, and 4.5 mo of age by air displacement plethysmography, using the PEA POD body composition system. The effects of age, gender, GA, and feeding mode on these parameters were assessed. The % body fat doubled between birth and 6 wk of age and then increased at a slower rate. FFM was higher in male infants at all ages, whereas % body fat was higher in female infants at 4.5 mo. There was a trend to increased % fat and decreased FFM in breastfed (BF) infants. The study provides unique data regarding changes in infant body composition and growth in infants born to women in the healthy weight range.