Please wait a minute...
Clinical and Experimental Obstetrics & Gynecology  2021, Vol. 48 Issue (4): 949-954    DOI: 10.31083/j.ceog4804150
Special Issue: Maternal Fetal Medicine
Original Research Previous articles | Next articles
Comparison of application of Fenton, Intergrowth-21st and WHO growth charts in a population of Polish newborns
Dominik Jakubowski1, *(), Daria Salloum1, Marek Maciejewski1, Magdalena Bednarek-Jędrzejek2, Anna Kajdy3, Aneta Cymbaluk-Płoska4, Ewa Kwiatkowska5, Andrzej Torbé2, Sebastian Kwiatkowski2
1Pomeranian Medical University, 70-111 Szczecin, Poland
2Department Obstetrics and Gynecology, Pomeranian Medical University, 70-111 Szczecin, Poland
3Department of Reproductive Health, Centre of Postgraduate Medical Education, 01-004 Warszawa, Poland
4Department of Gynecological Surgery and Oncology of Adults and Adolescents, Pomeranian Medical University, 70-111 Szczecin, Poland
5Department of Nephrology, Transplantology and Internal medicine, Pomeranian Medical University, 70-111 Szczecin, Poland
Download:  PDF(113KB)  ( 72 ) Full text   ( 4 )
Export:  BibTeX | EndNote (RIS)      
Abstract  
Background: Growth charts are the primary tools for evaluating neonatal birth weight and length. They help and qualify the neonates as Appropriate for Gestational Age (AGA), Small for Gestational Age (SGA), or Large for Gestational Age (LGA). The most commonly used neonatal charts include Intergrowth-21st, WHO, and Fenton. The aim of the study was to compare the tools used for assessing neonatal birth weight and the incidence of SGA and LGA using the different charts. Methods: Data on 8608 births in the Clinical Department of Obstetrics and Gynecology were compared. We divided the patient population into five gestational age groups. The 10th and 90th percentiles were calculated. The percentage of cases meeting the SGA and LGA criteria was determined. Results: Statistically significant differences between growth charts were identified for each of the groups. The 10th percentile for the study population corresponded to 2970 g for females and 3060 g for males born in the 40th week of gestation. The 90th percentile values were 4030 g and 4120 g. Our analysis showed a statistically significant difference in detection of LGA or SGA between three growth charts and our data both in male (χ2(3) = 157.192, p < 0.001, Kramer's V = 0.444) and female newborns (χ2(3) = 162.660, p < 0.001, Kramer's V = 0.464). Discussion: Our results confirm that differences exist between growth charts. There is a need for harmonizing growth assessment standards. It is recommended that a growth chart should be developed for the Polish population, which would improve the diagnosis of SGA and LGA.
Key words:  Growth charts      Small for gestational age      Large for gestational age      Growth standard     
Submitted:  31 March 2020      Revised:  01 June 2021      Accepted:  08 June 2021      Published:  15 August 2021     
*Corresponding Author(s):  Dominik Jakubowski     E-mail:  ddominikjakubowski@gmail.com

Cite this article: 

Dominik Jakubowski, Daria Salloum, Marek Maciejewski, Magdalena Bednarek-Jędrzejek, Anna Kajdy, Aneta Cymbaluk-Płoska, Ewa Kwiatkowska, Andrzej Torbé, Sebastian Kwiatkowski. Comparison of application of Fenton, Intergrowth-21st and WHO growth charts in a population of Polish newborns. Clinical and Experimental Obstetrics & Gynecology, 2021, 48(4): 949-954.

URL: 

https://ceog.imrpress.com/EN/10.31083/j.ceog4804150     OR     https://ceog.imrpress.com/EN/Y2021/V48/I4/949

[1] Amanda M. Wang, Alan J. Lee, Shannon M. Clark. The effects of overweight and obesity on pregnancy-related morbidity[J]. Clinical and Experimental Obstetrics & Gynecology, 2021, 48(5): 999-1009.
[2] S. Y. Jung, S. J. Chon, R. S. Lee, E. Y. Woo, J. S. Lee, S. Y. Kim. Difference in pregnancy outcomes between primiparous and multiparous women older than 40 years[J]. Clinical and Experimental Obstetrics & Gynecology, 2020, 47(2): 243-247.
[3] R.A. de Jesus Pereira Araújo Barros, W. Taborda, E. Araujo Júnior, F.H. Costa Carvalho, M. da Glória Martins, A.B. Peixoto, A.M. Bertini. Predicting macrosomic newborns using postprandial glycemia of pregnancy in diabetic women[J]. Clinical and Experimental Obstetrics & Gynecology, 2018, 45(6): 861-866.
[4] Ş. Özdeṁirci, T. Kasapoğlu, E. Karahanoğlu, F. Salgur, E. Başer, D. Esinler, B. Coşkun. Association of intrapartum maternal mean platelet volume with neonatal birth weight[J]. Clinical and Experimental Obstetrics & Gynecology, 2017, 44(4): 587-590.
[5] S. Yilmaz, A. Aktulay, C. Demirtas, Y. Engin-Ustun. Low cord blood serum levels of vitamin D: cause or effect of fetal macrosomia?[J]. Clinical and Experimental Obstetrics & Gynecology, 2015, 42(4): 501-504.
[6] J. Patumanond, C. Tawichasri, S. Khunpradit. Clinical risk score to recognize macrosomia at the time of delivery[J]. Clinical and Experimental Obstetrics & Gynecology, 2012, 39(2): 195-199.
No Suggested Reading articles found!