medigraphic.com
SPANISH

Gaceta Médica Espirituana

ISSN 1608-8921 (Print)
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2023, Number 2

Next >>

Gaceta Médica Espirituana 2023; 25 (2)

Relationship between fetal biometry, lipid accumulation product and the trophic condition at birth

Ramírez MC, Sarasa MNL, Cañizares LO, Álvarez-Guerra GE, Guillen EAL
Full text How to cite this article

Language: Spanish
References: 20
Page: 1-14
PDF size: 292.95 Kb.


Key words:

Fetal growth and development, fetal biometry, fetal weight, fetal development, gestational age, lipid accumulation product, trophic condition at birth, metabolically obese normal-weight phenotype.

ABSTRACT

Background: Maternal nutritional status disorders are usually related to fetal growth deviations, which can be detected by fetal biophysical parameters and identify the possible trophic condition at birth.
Objective: To determine the possible relationship between fetal biometric parameters, the birth trophic state and lipid accumulation product.
Methodology: A cross-sectional study was conducted at the Chiqui Gómez Lubian Polyclinic in Santa Clara municipality, during 2019, in a population of 253 normal-weight pregnant women who were apparently healthy at the beginning of their gestation. The non-probability sample was made up of 144 pregnant women. Study variables were: lipid accumulation product, fetal biometry and trophic condition at birth. Theoretical, empirical and statistical methods were used.
Results: In the second trimester, none of the biometric parameters matched the condition at birth as a small child, while in the large one the head and abdominal circumferences matched. In the third trimester, femoral length and abdominal circumference coincide in identifying the small one and the large one. LAP correlated with third trimester abdominal circumference and birth weight, presenting higher frequency of values in the third tertile for large births.
Conclusions: Abdominal circumference was the biometric parameter with the highest coincidence with trophic condition at birth, associated with values in the third tertile of the LAP for detecting large births, relating the metabolically obese normal weight phenotype with excessive fetal growth.


REFERENCES

  1. Gába A, Přidalová M. Diagnostic performance of Body Mass Index in women. Eur J Clin Nutr [Internet]. 2016 [cited 2022 Jan 7];70(8):898-903. Available from: https://www.nature.com/articles/ejcn2015211

  2. De Lorenzo A, Martinoli R, Vaia F, Di Renzo L. Normal weight obese (NWO) women: an evaluation of a candidatenew syndrome. Nutr Metab Cardiovasc Dis [Internet]. 2006 [cited 2022 Jan 7];16(8):513-23. Available from:https://www.sciencedirect.com/science/article/abs/pii/S0939475305001912?via%3Dihub

  3. Ahmadi F, Moukhah S, Hosseini R, Maghari A. Ultrasound Evaluation of Visceral Fat Thickness for Prediction ofMetabolic Syndrome in the First Trimester of Pregnancy in a Sample of Non-obese Iranian Women. OMJ [Internet]. 2019[cited 2022 Jan 07];34(4):308-312. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642717/pdf/OMJ-D-18-00114.pdf

  4. Du T, Yu X, Zhang J, Sun X. Lipid accumulation product and visceral adiposity index are effective markers foridentifying the metabolically obese normal-weight phenotype. Acta Diabetol [Internet]. 2015 [cited 2022 Jan 07];52:855-63. Available from: https://link.springer.com/article/10.1007%2Fs00592-015-0715-2

  5. Mejia Montilla J, Reyna Villasmil E. Obesidad, insulinorresistencia e hipertensión durante el embarazo. RevVenezolana Endocrinol Metab [Internet]. 2017 [citado 20 Ene 2022];15(3):169-81. Disponible en:http://ve.scielo.org/pdf/rvdem/v15n3/art02.pdf

  6. Beaumont RN, Kotecha SJ, Wood AR, Knight BA, Sebert S, McCarthy MI , et al.ICommon maternal and fetal geneticvariants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in thesmallest 3% of babies. PLoS Genet [Internet]. 2020 [cited 2022 Jan 07];16(12). Available from:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721187/pdf/pgen.1009191.pdf

  7. Águila Setién S, Breto García A, Cabezas Cruz E, Delgado Calzado JJ, Santisteban Alba S. Obstetricia yperinatología. Diagnóstico y tratamiento. La Habana: Editorial Ciencias Médicas; 2012

  8. Kahn HS. The “lipid accumulation product” performs better than the body mass index fo rrecognizing cardiovascularrisk:a population based comparison. BMC Cardiovascular Disorders [Internet]. 2005 [cited 2022 Jan 7];5(26). Availablefrom: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1236917/pdf/1471-2261-5-26.pdf

  9. AMM. Declaración de Helsinki. Principios éticos para las investigaciones con seres humanos. [59ª Asamblea General,Seúl, Corea Internet]. Corea: AMM; 2008 [citado 14 Feb 2022]. Disponible en:http://www.innsz.mx/opencms/contenido/investigacion/comiteEtica/helsinkihtml

  10. Intriago-Rosado A, Macías-Guevara KB, De la torre Chávez J, Gómez-Vergara S. Trastornos metabólicos quecomplican el embarazo. Dominio de las Cienc [Internet]. 3 de agosto de 2017 [citado 14 Feb 2022];4(3 Especial):462-75. Disponible en: https://dominiodelasciencias.com/ojs/index.php/es/article/view/575

  11. Álvarez-Guerra González E, Hernández Díaz D, Sarasa Muñoz NL, Barreto Fiu EE, Limas Pérez Y, Cañizares LunaO. Biometría fetal: capacidad predictiva para los nacimientos pequeños según su edad gestacional. AMC [Internet]. 2017[citado 14 Feb 2022];21(6):112-19. Disponible en: http://scielo.sld.cu/pdf/mdc/v21n2/mdc04217.pdf

  12. Álvarez-Guerra González E, Hernández Díaz D, Sarasa Muñoz NL, Barreto Fiu EE, Limas Pérez Y, Cañizares LunaO. Biometría fetal: capacidad predictiva para los nacimientos grandes para la edad gestacional. AMC [Internet]. 2017[citado 4 Dic 2018];21(6):695-704. Disponible en: http://scielo.sld.cu/pdf/amc/v21n6/amc030617.pdf

  13. Deter R, Lee W, Yeo L, Erez O, Ramamurthy U, Naik M, et al. Individualized growth assessment: conceptualframework and practical implementation for the evaluation of fetal growth and neonatal growth outcome. Am J ObstetGynecol [Internet]. 2018 [cited 2022 Feb 14];218(2S):656-678. Available from:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882201/pdf/nihms930568.pdf

  14. Papageorghiou AT, Kennedy SH, Salomon LJ, Altman DG, Ohuma EO, Stones W, et al. The INTERGROWTH-21stfetal growth standards: toward the global integration of pregnancy and pediatric care. Am J Obstet Gynecol [Internet].2018 [cited 2022 Jan 07];218(2S):630-40. Available from:https://www.sciencedirect.com/science/article/abs/pii/S0002937818300127?via%3Dihub

  15. Zaliunas B, Drasutiene G, Utkus A, Kurmanavicius J. Fetal biometry: Relevance in obstetrical practice. Medicina[Internet]. 2017 [cited 2022 Feb 14];53(6):357-364. Available from: https://res.mdpi.com/medicina/medicina-53-00357/article_deploy/medicina-53-00357.pdf?filename=&attachment=1

  16. Orozco Muñoz C, Cañizares Luna O, Sarasa Muñoz NL. Estado nutricional, acumulación de tejido adiposo yvulnerabilidad cardiometabólica en gestantes sanas de peso adecuado. Gac Méd Espirit [Internet]. 2018 [citado 14 Feb2022];20(2):40-7. Disponible en: http://scielo.sld.cu/pdf/gme/v20n2/1608-8921-gme-20-02-40.pdf

  17. Oliveros E, Somers VK, Sochor O, Goel K, Lopez-Jimenez F. The concept of normal weight obesity. Prog CardioVasc Dis [Internet]. 2014 [cited 2022 Feb 14];56(4):426-33. Available from:https://www.sciencedirect.com/science/article/pii/S003306201300176X

  18. Sabino Pinho C, da Silva Diniz A. Predictive models for estimating visceral fat: the contribution from anthropometricparameters. PloS One [Internet]. 2017 [cited 2022 Feb 14];12(7). Available from:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5524411/pdf/pone.0178958.pdf

  19. Schaefer Graf UM, Kulbacka I, Kjos SL, Dudenhauser J, Vetter K, Herrera E. Maternal lipids as strong determinantsof fetal environment and growth in pregnancies with gestational diabetes mellitus. Diabetes Care [Internet]. 2008 [cited 2022 Feb 14];31(9):1858-63. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2518359/pdf/1858.pdf

  20. Hernández Díaz Y, Álvarez-Guerra González E, Hernández Díaz D, Sarasa Muñoz NL, Limas Pérez Y, CañizaresLuna O. Componentes de constitución corporal materna relacionados con nacimientos grandes para la edad gestacional.Medicentro [Internet]. 2018 [citado 7 Ene 2022];22(2):116-27. Disponible en:http://scielo.sld.cu/pdf/mdc/v22n2/mdc03218.pdf




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Gaceta Médica Espirituana. 2023;25