Fetal Growth Cut-Off Point To Predict Neonatal Outcome In Pregnancy With Normal And Deficient Vitamin D Levels: Intergrowth-21, World Health Organization Fetal Growth Curve, And Hadlock’s Estimated Fetal Weight

Authors

  • Julian Dewantiningrum Doctoral Study Program of Medical and Health Science, Faculty of Medicine, University of Diponegoro Semarang, Indonesia, Indonesia
  • Herman Kristanto Faculty of Medicine, University of Diponegoro Semarang, Indonesia, Indonesia
  • Dwi Pudjonarko Doctoral Study Program of Medical and Health Science, Faculty of Medicine, University of Diponegoro Semarang, Indonesia, Indonesia
  • Maria Mexitalia Doctoral Study Program of Medical and Health Science, Faculty of Medicine, University of Diponegoro Semarang, Indonesia, Indonesia
  • Annastasia Ediati Doctoral Study Program of Medical and Health Science, Faculty of Medicine, University of Diponegoro Semarang, Indonesia, Indonesia
  • Ariawan Soejoenoes Doctoral Study Program of Medical and Health Science, Faculty of Medicine, University of Diponegoro Semarang, Indonesia, Indonesia
  • Suharyo Hadisaputro Doctoral Study Program of Medical and Health Science, Faculty of Medicine, University of Diponegoro Semarang, Indonesia, Indonesia

DOI:

https://doi.org/10.36408/mhjcm.v10i2.877

Keywords:

Fetal growth curve Cut-off Point, 25(OH)D, Stunting, neurocognitive impairment

Abstract

Purpose : Analyze the cut-off point of fetal growth based on the Intergrowth-21, World Health Organization (WHO), and Hadlock’s estimated fetal weight (EFW) in pregnant women with normal or deficient vitamin D levels to predict neonatal outcomes.

Method: This cross sectional study to develop a diagnostic test, included 120 of pregnant women who completed follow up until children aged 2 years, divided into normal and deficient vitamin D group. Ultrasound and maternal vitamin D level examined during the second trimester of pregnancy. EFW was calculated using Hadlock’s formula and plotted on the Intergrowth-21 and WHO curves. The reference standards were the neonatal outcome, LBW, stunting, and neurocognitive impairment. Significant odds ratio (OR) value and area under the curve (AUC) of 0.6 are used to determine the cut-off point to be used.

Result: Fetal growth curve was based on the WHO at the 5th percentile to predict LBW to have an AUC of 0.6 and OR of 6, 95% confidence interval (CI) of 1.36–26.45. The AUC for predicting LBW based on Intergrowth and Hadlock were 0.45 and OR not significant. As well as the AUC estimated stunting based on Hadlock, the Intergrowth-21 and the WHO fetal growth curves is <0.6 with OR not statistically significant. The AUC predicted neurocognitive impairment based on WHO’s chart was 0.6 but OR not statistically significant.

Conclusion: The WHO fetal growth curve can be used to predict LBW. The cut-off point of the fetal growth curve and which percentile is determined by the neonatal outcome.

Downloads

Download data is not yet available.

References

1. Salomon LJ, Alfirevic Z, Da Silva Costa F, Deter RL, Figueras F, Ghi T, et al. ISUOG Practice Guidelines: Ultrasound assessment of fetal biometry and growth. Ultrasound Obstet Gynecol 2019;53(6):715–23.
2. Papageorghiou AT, Ohuma EO, Altman DG. Erratum: International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21 Project (Lancet (2014) 384 (869-879)). Lancet 2014;384(9950):1264.
3. Kiserud T, Piaggio G, Carroli G, Widmer M, Carvalho J, Neerup Jensen L, et al. The World Health Organization fetal growth charts: a multinational longitudinal study of ultrasound biometric measurements and estimated fetal weight. 2017.
4. Buck Louis GM, Grewal J AP et al. Racial/ethnic standards for fetal growth: the NICHD fetal growth studies. Am J Obs Gynecol 2015;213(4):449 e1-41.
5. Liauw J, Mayer C, Albert A, Fernandez A, Hutcheon JA. Which chart and which cut-point: deciding on the INTERGROWTH, World Health Organization, or Hadlock fetal growth chart. BMC Preg Childbirth [Internet] 2022;22(1):1–11.
6. Cusick SE, Georgieff MK. The role of nutrition in brain development: The golden opportunity of the “First 1000 Days.” J Pediatr 2016;175:16–21.
7. Deluca HF. Historical overview of vitamin D. In: David F, Wesley PJ, Roger B, Edward Gi, David G, Martin H, editors. Vitamin D 4th edition. London: Elsevier; 2018. pages 3–12.
8. Fiscaletti M, Stewart P, Munns CF. The importance of vitamin D in maternal and child health: A global perspective. Public Health Rev 2017;38(1):1–17.
9. Weis SQ, Qi HP, Luo ZC, Fraser WD. Maternal vitamin D status and adverse pregnancy outcomes: a systematic review and meta-analysis. J Matern Fetal Neonatal Med 2013;26(9):889–99.
10. Mine K, Vinkhuyzen A, Blanken LM, McGrath JJ ED et al. Maternal vitamin D concentrations during pregnancy, fetal growth patterns and risk of adverse birth outcomes. Am J Clin Nutr 2016;103(6):1514–22.
11. Boyle VT, Thotstensen EB, Mourath D, Jones MB, McCowan LM, Kenny LC, Baker PN. The relationship between 25-hydroxyvitamin D concentration in early pregnancy and pregnancy outcomes in a large, prospective cohort. Br J Nutr 2016;116(8):1409–15.
12. Eggmoen AR, Jenum AK, Mdala I, Knutsen KV, Lagerløv P, Sletner L. Vitamin D levels during pregnancy and associations with birthweight and body composition of the newborn: a longitudinal multiethnic population based study. Br J Nutr 2017;117(7):985–93.
13. Toko EN, Sumba OP, Daud II, Ogolla S, Majiwa M, Krisher JT, et al. Maternal vitamin D status and adverse birth outcomes in children from Rural Western Kenya. Nutrients 2016;8(12):1–11.
14. Danaei G, Andrews KG, Sudfeld CR, Fink G, McCoy DC, Peet E, et al. Risk factors for childhood stunting in 137 developing countries: A comparative risk assessment analysis at global, regional, and country levels. PLoS Med 2016;13(11):1–13.
15. Basic Health Research. Jakarta: 2018.
16. Basic Health Research. Jakarta: 2013.
17. Indonesian Nutritional Status Survey. Jakarta: 2019.
18. Darling AL, Rayman MP, Steer CD, Golding J, Lanham-New SA BS. Association between maternal vitamin D status in pregnancy and neurodevelopmental outcomes in childhood: results from the Avon Longitudinal Study of Parents and Children (ALSPAC). Br J Nutr 2017;117(12):1682–92.
19. Hadlock FP, Harrist RB, Carpenter RJ, Deter RL, Park SK. Sonographic of fetal weight. Radiology 1984;150(2):535–40.
20. Kurmanavicius J, Burkhardt T, Wisser J, Huch R. Ultrasonographic fetal weight estimation: Accuracy of formulas and accuracy of examiners by birth weight from 500 to 5000 g. J Perinat Med 2004;32(2):155–61.
21. Hua X, Shen M, Reddy UM, Buck Louis G, Souza JP, Gülmezoglu AM, Zhang J. Comparison of the INTERGROWTH-21st, National Institute of Child Health and Human Development, and WHO fetal growth standards. Int J Gynecol Obstet 2018;143(2):156–63.
22. Kabiri D, Romero R, Gudicha DW, Hernandez-Andrade E, Pacora P, Benshalom-Tirosh N, et al. Prediction of adverse perinatal outcome by fetal biometry: Comparison of customized and population-based standards. Ultrasound Obstet Gynecol 2020;55(2):177–88.
23. Odibo AO, Nwabuobi C, Odibo L, Leavitt K, Obican S, Tuuli MG. Customized fetal growth standard compared with the INTERGROWTH-21st century standard at predicting small-for-gestational-age neonates. Acta Obstet Gynecol Scand 2018;97(11):1381–7.
24. Nwabuobi C, Odibo L, Camisasca-Lopina H, Leavitt K, Tuuli M, Odibo AO. Comparing INTERGROWTH-21st Century and Hadlock growth standards to predict small for gestational age and short-term neonatal outcomes. J Matern Neonatal Med [Internet] 2020;33(11):1906–12.
25. Staud F, Karahoda R. Trophoblast: The central unit of fetal growth, protection and programming. Int J Biochem Cell Biol 2018;105(August):35–40.
26. BL S. Does vitamin D during pregnancy impact offspring growth and bone? Proc Nutr Soc 2012;71(1):38–45.
27. rn AD, Simhan HN, Klebanoff MA, Bodnar LM. Maternal serum 25-hydroxyvitamin D and measures of newborn and placental weight in a US multicentre cohort study. J Clin Endocrinol Metab 2013;98(1):398–404.
28. Jusditiani RTD, Gumilang L, Nirmala SA, Irianti S WD et al. Association of Colecalciferol, ferritrin and anemia among pregnant women: Result from cohort study on vitamin D status and its impact during pregnancy and childhood in Indonesia. Anemia 2018;1–6.
29. Mahon P, Harvey N, Crozier S, Inskip H, Robinson S, Arden N, et al. Low maternalvitamin D status and fetal bone development: Cohort study. J Bone Miner Res 2010;25(1):14–9.
30. Shakeri M, Jafarirad S. The relationship between maternal vitamin D status during third trimester of pregnancy and maternal and neonatal outcomes: A longitudinal study. Int J Reprod Biomed 2019;17(1):33–40.
31. Ong YL, Quah PL, Tint MT, Aris IM, Chen LW, van Dam RM et al. The association of maternal vitamin D status with infant birth outcomes, postnatal growth and adiposity in the first two years of life in a multi-ethnic Asian population: the GUSTO cohort study.r J Nutr 2016;116(4):621–31.
32. Santamaria C, Bi WG, Leduc L, Tabatabaei N, Jantchou P, Luo ZC, et al. Prenatal Vitamin D status and offspring's growth, adiposity and metabolic health: A systematic review and meta-analysis. Br J Nutr 2018;119(3):310–9.
33. Sarma D, Saikia UK, Das DV. Fetal skeletal size and growth are relevant biometric markers in vitamin D deficient mothers: A north east India prospective cohort study. Indian J Endocrinol Metab 2018;22(2):212–6.
34. Rodriguez A, Garcia-Esteban R, Basterretxea M, Lertxundi A, Rodríguez-Bernal C, Iñiguez C. Associations of maternal circulating 25-hydroxyvitamin D3 concentration with pregnancy and birth outcomes. BJOG 2015;122(12):1695–704.
35. Florencio-Silva R, Sasso GR, Sasso Cerri E, Simoes MJ, Cerri PS. Biology of bone tissue: structure, function, and factors that influence bone cells. Biomed Res Int 2015;421746.
36. Harvey NC, Mahon PA, Kim M, Cole ZA, Robinson SM, Javaid K. Intrauterine growth and postnatal skeletal development: Findings from the Southampton women's survey. Perinat Epidemiol 2012;26(1):34–44.
37. Harvey NC, Mahon PA, Robinson SM, Nisbet CE, Javaid MK, Crozier SR, et al. Different indices of fetal growth predict bone size and volumetric density at 4 years of age. J Bone Miner Res 2010;25(4):920–7.
38. Skåren L, Wang X, Bjørnerem.one trait ranking in the population is not established during antenatal growth but is robustly established in the first postnatal year. PLoS One 2018;13(9):1–14.
39. Heppe DHM, Medina-Gomez C, De Jongste JC, Raat H, Steegers EAP, Hofman A, et al. Fetal and childhood growth patterns associated with bone mass in school-age children: The generation R study. J Bone Miner Res 2014;29(12):2584–93.
40. Raznahan A, Greenstein D, Lee NR, Clasen LS, Giedd JN. Prenatal growth in humans and postnatal brain maturation into late adolescence. Proc Natl Acad Sci USA 2012;109(28):11366–71.
41. Knickmeyer RC, Xia K, Lu Z, Ahn M, Jha SC, Zou F, et al. Impact of demographic and obstetric factors on infant brain volumes: A population neuroscience study. Cereb Cortex 2017;27(12):5616–25.

Additional Files

Published

2023-07-31

How to Cite

1.
Dewantiningrum J, Kristanto H, Pudjonarko D, Mexitalia M, Ediati A, Soejoenoes A, Hadisaputro S. Fetal Growth Cut-Off Point To Predict Neonatal Outcome In Pregnancy With Normal And Deficient Vitamin D Levels: Intergrowth-21, World Health Organization Fetal Growth Curve, And Hadlock’s Estimated Fetal Weight. Medica Hospitalia J. Clin. Med. [Internet]. 2023 Jul. 31 [cited 2024 Nov. 26];10(2):159-67. Available from: http://medicahospitalia.rskariadi.co.id/medicahospitalia/index.php/mh/article/view/877

Issue

Section

Original Article

Citation Check