Intrapartum prediction of birth weight with a simplified algorithmic approach derived from maternal characteristics

2019 ◽  
Vol 47 (6) ◽  
pp. 643-650
Author(s):  
Piengbulan Yapan ◽  
Chirameth Promchirachote ◽  
Chutima Yaiyiam ◽  
Suraiya Rahman ◽  
Julaporn Pooliam ◽  
...  
Keyword(s):  
Birth Weight ◽  
Female Gender ◽  
Abdominal Circumference ◽  
Maternal Characteristics ◽  
Abdominal Palpation ◽  
Gestational Age At Delivery ◽  
Vertex Presentation ◽  
Mid Upper Arm Circumference ◽  
Pregnancy Weight ◽  
Best Fit

Abstract Objective To derive and validate a population-specific multivariate approach for birth weight (BW) prediction based on quantitative intrapartum assessment of maternal characteristics by means of an algorithmic method in low-risk women. Methods The derivation part (n = 200) prospectively explored 10 variables to create the best-fit algorithms (70% correct estimates within ±10% of actual BW) for prediction of BW at term; vertex presentation with engagement. The algorithm was then cross validated with samples of unrelated cases (n = 280) to compare the accuracy with the routine abdominal palpation method. Results The best-fit algorithms were parity-specific. The derived simplified algorithms were (1) BW (g) = 100 [(0.42 × symphysis-fundal height (SFH; cm)) + gestational age at delivery (GA; weeks) − 25] in nulliparous, and (2) BW (g) = 100 [(0.42 × SFH (cm)) + GA − 23] in multiparous. Cross validation showed an overall 69.3% accuracy within ±10% of actual BW, which exceeded routine abdominal palpation (60.4%) (P = 0.019). The algorithmic BW prediction was significantly more accurate than routine abdominal palpation in women with the following characteristics: BW 2500–4000 g, multiparous, pre-pregnancy weight <50 kg, current weight <60 kg, height <155 cm, body mass index (BMI) <18.5 kg/m2, cervical dilatation 3–5 cm, station <0, intact membranes, SFH 30–39 cm, maternal abdominal circumference (mAC) <90 cm, mid-upper arm circumference (MUAC) <25 cm and female gender of the neonates (P < 0.05). Conclusion An overall accuracy of term BW prediction by our simplified algorithms exceeded that of routine abdominal palpation.

scholarly journals Mid-upper arm circumference in pregnant women and its relation to birth weight

1998 ◽  
Vol 32 (2) ◽  
pp. 112-117 ◽  
Author(s):  
Anamaría E. Ricalde ◽  
Gustavo Velásquez-Meléndez ◽  
Ana Cristina d'A. Tanaka ◽  
Arnaldo A.F. de Siqueira
Keyword(s):  
Birth Weight ◽  
Pregnant Women ◽  
Gestational Age ◽  
Head Circumference ◽  
Upper Arm ◽  
Maternal Nutritional Status ◽  
Arm Circumference ◽  
Mother’S Age ◽  
Mid Upper Arm Circumference ◽  
Pregnancy Weight

OBJECTIVE: In order to determine the relationship between some maternal anthropometric indicators and birth weight, crown-heel length and newborn's head circumference, 92 pregnant women were followed through at the prenatal service of hospital in S. Paulo, Brazil. MATERIAL AND METHOD: The following variables were established for the mother: weight, height, mid-upper arm circumference, pre-pregnancy weight, gestational weight gain and Quetelet's index. For the newborn the following variables were recorded: birth weight, crown-heel length, head circumference and gestational age by Dubowitz's method. RESULTS: Significant associations were noted between gestational age and newborn variables. In addition, maternal mid-arm circumference (MUAC) and pre-pregnancy weight were found to be positively correlated to birth weight (r=0.399; r=0.378, respectively). The multivariate linear regression shows that gestational age, mother's arm circumference and pre-pregnancy weight continue to be significant predictors of birth weight. On the other hand, only gestational age and mother's age was associated with crown-heel length. Similarly MUAC was significantly associated with crown-heel length (r= 0.306; P=0.0030). CONCLUSION: Maternal mid-upper arm circumference is a potential indicator of maternal nutritional status. It could be used in association with other anthropometric measurements, instead of pre-pregnancy weight, as an alternative indicator to assess women at risk of poor pregnancy outcome.

scholarly journals Anthropometric Measurements to Predict NICU Admission for Infants of Diabetic Mothers

2022 ◽  
Vol 21 (1) ◽  
pp. 72-78
Author(s):  
Fatma Cakmak Celik ◽  
Canan Aygun ◽  
Guzin Tumer ◽  
Sukru Kucukoduk ◽  
Yuksel Bek
Keyword(s):  
Birth Weight ◽  
Medical Science ◽  
Anthropometric Measurements ◽  
Maternal Characteristics ◽  
Respiratory Problems ◽  
Skin Fold Thickness ◽  
Skin Fold ◽  
Triceps Skin Fold ◽  
Nicu Admission ◽  
Mid Upper Arm Circumference

Aim: Can NICU admission of IDM be predicted by anthropometric measurements like birth weight, lenght, head circumference (HC), mid upper arm circumference (MUAC) or triceps skin fold thickness (TSFT). Method: Eighty-six-term IDMs were analyzed prospectively. MUAC, HC and TSFT were measured within 48 hours of life. Prenatal-natal-postnatal problems; NICU admission; maternal characteristics, HbA1c were recorded. Results: Mean birth weight, gestational age were 3453.3±582.4g and 38.0±0.97weeks. 63.9% of IDMs was admitted to NICU. 56.3% hospitalized due respiratory problems; 32,7 % required endotracheal intubation. Mean MUAC, TSFT, HC and MUAC/HC ratio were 11.2±1.1 cm, 7.1±2.2 mm, 35.0±1.8 cm and 0.32±0.03 cm respectively for all. Although there was no significant relation between NICU admission and MUAC (p=0.071), TSFT and MUAC/HC were significantly higher in babies admitted to NICU (p=0.006 for TSFT, p<0.001 for MUAC/HC). HC was significantly low in babies followed in NICU (P<0.001). With increment of TSFT, MUAC/HC and HbA1c, NICU admission increases positively, but HC affects NICU admission negatively (OR for TSFT:1.6, OR for MUAC/HC: 2.1, OR for HbA1c: OR for HC:0,3). Mechanic ventilation requirement is affected positively by TSFT (p=0.008, OR:1.5) and affected negatively by HC (p=0.004, OR:0.6). Conclusion: This preliminary study showed; TSFT, HC and MUAC/HC ratio are helpful criterias to predict NICU admission risk for IDMs and might be helpful for risk assesment in limited settings. Bangladesh Journal of Medical Science Vol. 21(1) 2022 Page : 72-78

scholarly journals Early Pregnancy Weight Gain Exerts the Strongest Effect on Birth Weight, Posing a Critical Time to Prevent Childhood Obesity

Obesity ◽  
2017 ◽  
Vol 25 (9) ◽  
pp. 1569-1576 ◽  
Author(s):  
Nicholas T. Broskey ◽  
Peng Wang ◽  
Nan Li ◽  
Junhong Leng ◽  
Weiqin Li ◽  
...  
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Childhood Obesity ◽  
Early Pregnancy ◽  
Critical Time ◽  
Pregnancy Weight Gain ◽  
Pregnancy Weight

scholarly journals Confounders for Neonatal Intensive Care Unit Admission ın Neonates of Mothers with Preeclampsia

2018 ◽  
Vol 24 (3) ◽  
pp. 162
Author(s):  
Cetin Kilicci ◽  
Cigdem Yayla Abide ◽  
Enis Ozkaya ◽  
Evrim Bostancı Ergen ◽  
İlter Yenidede ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Birth Weight ◽  
Intensive Care Unit Admission ◽  
Neonatal Intensive Care Unit ◽  
Gestational Age ◽  
Neonatal Intensive Care ◽  
Preterm Neonates ◽  
Apgar Scores ◽  
Gestational Age At Delivery

<p><strong>Objective:</strong> The aim of this study was to investigate the effect of some maternal and neonatal clinical parameters on the neonatal intensive care unit admission rates of neonates born to mothers who had preeclampsia. </p><p><strong>Study Design:</strong> Study included 402 singleton pregnant women with preeclampsia who admitted to Maternal-Fetal Medicine Unit of Zeynep Kamil Children and Women’s Health Training and Research Hospital. Pregnancies with uterine rupture, chorioamnionitis and congenital malformations were excluded. Some maternal and neonatal clinical characteristics were assessed to predict neonatal intensive care unit admission.</p><p><strong>Results:</strong> Among 402 neonates, 140 (35%) of them had an indication for neonatal intensive care unit admission, among 140 neonates, 136 (97%) of them were preterm neonates. Comparison of groups with and without neonatal intensive care unit admission indicated significant differences between groups in terms of gestational age, Apgar scores at 1st and 5th minutes, birth weight, some maternal laboratory parameters (Hemoglobin, hematocrit, alanine aminotransferase, aspartate aminotransferase, albumin). In multivariate analysis, among all study population, gestational age at delivery, birth weight and Apgar scores were found to be significantly associated with neonatal intensive care unit admission. On the other hand, in subgroup of term neonates, none of the variables was shown to be associated with neonatal intensive care unit admission.</p><p><strong>Conclusion:</strong> Gestational age at delivery and the birth weight are the main risk factors for neonatal intensive care unit admission of neonates born to mothers who had preeclampsia.</p>

scholarly journals Determinant of Maternal and Hair Zinc Level on Stunting and Developmental Disorders in Under Five Aged Children: A Path Analysis

2020 ◽  
Author(s):  
Nunik Ike Yunia Sari ◽  
◽  
Estin Gita Maringga ◽  
Keyword(s):  
Birth Weight ◽  
Developmental Disorders ◽  
Zinc Level ◽  
Birth Length ◽  
Hair Zinc ◽  
Upper Arm ◽  
Under Five ◽  
Arm Circumference ◽  
Zinc Levels ◽  
Mid Upper Arm Circumference

ABSTRACT Background: Stunting can cause various developmental problems in children under five. Stunting can reduce a person productivity at a young age and increase the risks of developing non-communicable diseases when older. This study aimed to determine of maternal and hair zinc level on stunting and developmental disorders in under five aged children. Subjects and Method: This was a case study conducted at Gurah Public Health Center, Kediri Regency, East java, August 4-29, 2020. approach with a fixed disease sampling technique. A sample size of 100 subjects was selected by simple random sampling. The dependent variable was stunting and developmental disorders. The independent variables were pregnant women Mid-Upper Arm Circumference, exclusive breastfeeding, LBW, birth length, hair zinc level. The data were collected by questionnaire, measuring height and weight and checking hair zinc levels in the laboratory. The data were analyzed by path analysis. Results: Child development was influenced by Mid-Upper Arm Circumference (b= 0.12; SE= 0.36; p< 0.001), birth weight (b= 0.29; SE= 0.15; p= 0.042); birth length (b= 0.37; SE= 0.15; p= 0.011), breastfeeding (b= 0.08; SE= 0.04; p= 0.033), stunting (b= 0.39; SE= 0.10; p <0.001), hair zinc levels (b= 0.58; SE= 0.67; p <0.001). Hair zinc levels were affected by birth weight (b= 0.92; SE= 0.04; p <0.001). Stunting was affected by breastfeeding (b= 0.12; SE= 0.04; p <0.001); birth length (b= 0.73; SE= 0.06; p <0.001), zinc levels (b= 0.16; SE= 0.06; p= 0.006) Conclusion: Child development was influenced by Mid-Upper Arm Circumference, birth weight, birth length, breastfeeding, stunting, hair zinc levels. Hair zinc levels were affected by birth weight. Stunting was affected by breastfeeding, birth length, zinc levels. Keywords: maternal determinant factor, hair zinc level, predictor of stunting, developmental disorder Correspondence: Nunik Ike Yunia Sari. School of Health Sciences Karya Husada Kediri. Email: [email protected]. Mobile: +6282257969278. DOI: https://doi.org/10.26911/the7thicph.03.34

scholarly journals Accuracy of ultrasonic fetal weight estimation using head and abdominal circumference and femur length

2005 ◽  
Vol 58 (11-12) ◽  
pp. 548-552 ◽  
Author(s):  
Ljiljana Mladenovic-Segedi ◽  
Dimitrije Segedi
Keyword(s):  
Birth Weight ◽  
Head Circumference ◽  
Fetal Weight ◽  
Abdominal Circumference ◽  
Weight Estimation ◽  
Fetal Head ◽  
Total Body Mass ◽  
Femur Length ◽  
Fetal Weight Estimation ◽  
Gynecology And Obstetrics

Introduction Former investigations have shown that the accuracy of fetal weight estimation is significantly higher if several ultrasonic fe?tal parameters are measured, because the total body mass depends on the size of fetal head, abdominal circumference and femur length. The aim of this investigation was to establish the best regression model, that is a number of combinations of fetal parameters providing the most accurate fetal weight estimation in utero in our population. Material and methods This prospective study was carried out at the Gynecology and Obstetrics Clinic of the Clinical Center Novi Sad. It included 270 pregnant women with singleton pregnancies within 72 hours of delivery who underwent ultrasound measurements of the biparietal diameter (BPD), head circumference (HC), ab?dominal circumference (AC) and femur length (FL). Results In regard to fetal weight estimation formulas, the deviation was lowest using regression models that simultaneously analyzed four fetal parameters (0.55%) with SD ?7.61%. In these models the estimates of fetal weights were within ?5% of actual birth weight in 48.89%, and within ?10% of actual birth weight in 81.48%. Good results were also obtained using AC, FL measurements (0.92% ? 8.20) as well as using AC, HC, FL measurements (-1.45% ? 7.81). In our sample the combination of AC and FL model gave better results in fetal weight estimation (0.92 ? 8.20%) than the one using BPD and AC (2.97 ? 8.83%). Furthermore, the model using parameters AC, HC and FL showed a lower error in accuracy (-1.45 ? 7.81%) than the model using BPD, AC and FL (2.51 ? 7.82%). Conclusion This investigation has confirmed that the accuracy of fetal weight estimation increases with the number of measured ultra?sonic fetal parameters. In our population the greatest accuracy was obtained using BPD, HC, AC and FL model. In cases when fast estimation of fetal weight is needed, AC, HC, FL model may be appropriate, but if fetal head circumference cannot be measured (amnion rupture and/or fetal head already in the pelvis) the AC, FL model should be used.

Estimated Placental Volume and Gestational Age

2017 ◽  
Vol 35 (08) ◽  
pp. 748-757
Author(s):  
Kimberly Isakov ◽  
John Emerson ◽  
Katherine Campbell ◽  
France Galerneau ◽  
Amber Anders ◽  
...  
Keyword(s):  
Birth Weight ◽  
Confidence Interval ◽  
Clinical Utility ◽  
Screening Tool ◽  
Placental Pathology ◽  
Parabolic Curve ◽  
Microscopic Evaluation ◽  
The Relationship ◽  
Placental Volume ◽  
Best Fit

Objective The objective of this study was to validate estimated placental volume (EPV) across a range of gestational ages (GAs). Study Design Three hundred sixty-six patients from 2009 to 2011 received ultrasound scans between 11 + 0 and 38 + 6 weeks GA to assess EPV. An EPV versus GA best fit curve was generated and compared with published normative curves of EPV versus GA in a different population. A subanalysis was performed to explore the relationship between EPV and birth weight (BW). Results Analysis of EPV versus GA revealed a parabolic curve with the following best fit equation: EPV = (0.372 GA − 0.00364 GA2)3. EPV was weakly correlated with BW, and patients with an EPV in the bottom 50th percentile had 2.42 times the odds of having a newborn with a BW in the bottom 50th percentile (95% confidence interval: 1.27–4.68). Microscopic evaluation of two placentas corresponding to the smallest EPV outliers revealed significant placental pathology. Conclusion Placental volume increases throughout gestation and follows a predictable parabolic curve, in agreement with the existing literature. Further validation is required, but EPV may have the potential for clinical utility as a screening tool in a variety of settings.

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