Literature DB >> 15707714

Prematurity and fetal growth restriction.

Jason O Gardosi1.   

Abstract

Assessment of the growth status of the fetus and neonate is an essential component of perinatal care. It requires a distinction to be made between physiological and pathological factors, and the prediction of the optimal growth that a baby can achieve in a normal, uncomplicated pregnancy. Such an individually customised standard can now be easily calculated by computer: it needs to be accurately dated, individually adjusted for physiological characteristics, exclude pathological factors such as smoking, and be based on a fetal weight trajectory derived from normal term pregnancies. Application of a customised standard to calculate the growth status of preterm babies gives us freshly insights into the causes of prematurity. Fetal growth restriction is seen as a strongly associated factor, which is often present before the onset of spontaneous preterm labour. This raises the question whether, in many instances, the initiation of parturition should be seen as a fetal adaptive response aimed at escaping an unfavourable intrauterine environment. These concepts have implications for the understanding of the pathophysiology of preterm labour, as well as its clinical management.

Mesh:

Year:  2004        PMID: 15707714     DOI: 10.1016/j.earlhumdev.2004.10.015

Source DB:  PubMed          Journal:  Early Hum Dev        ISSN: 0378-3782            Impact factor:   2.079


  17 in total

1.  Customised birthweight standards accurately predict perinatal morbidity.

Authors:  Francesc Figueras; Josep Figueras; Eva Meler; Elisenda Eixarch; Oriol Coll; Eduard Gratacos; Jason Gardosi; Xavier Carbonell
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2007-01-24       Impact factor: 5.747

Review 2.  An epigenetic association of malformations, adverse reproductive outcomes, and fetal origins hypothesis related effects.

Authors:  Mark Lubinsky
Journal:  J Assist Reprod Genet       Date:  2018-05-09       Impact factor: 3.412

3.  Prediction of adverse perinatal outcome by fetal biometry: comparison of customized and population-based standards.

Authors:  D Kabiri; R Romero; D W Gudicha; E Hernandez-Andrade; P Pacora; N Benshalom-Tirosh; D Tirosh; L Yeo; O Erez; S S Hassan; A L Tarca
Journal:  Ultrasound Obstet Gynecol       Date:  2020-02       Impact factor: 7.299

4.  Association of Placental Parameters with Low Birth Weight Among Neonates Born in the Public Hospitals of Hadiya Zone, Southern Ethiopia: An Institution-Based Cross-Sectional Study.

Authors:  Simeon Meskele Leyto; Kusse Urmale Mare
Journal:  Int J Gen Med       Date:  2022-05-16

5.  Predictive performance of newborn small for gestational age by a United States intrauterine vs birthweight-derived standard for short-term neonatal morbidity and mortality.

Authors:  Nathan R Blue; Lisa Mele; William A Grobman; Jennifer L Bailit; Ronald J Wapner; John M Thorp; Steve N Caritis; Mona Prasad; Alan T N Tita; George R Saade; Dwight J Rouse; Sean C Blackwell
Journal:  Am J Obstet Gynecol MFM       Date:  2022-02-18

Review 6.  Defining normal and abnormal fetal growth: promises and challenges.

Authors:  Jun Zhang; Mario Merialdi; Lawrence D Platt; Michael S Kramer
Journal:  Am J Obstet Gynecol       Date:  2010-01-13       Impact factor: 8.661

7.  Fetal growth and timing of parturition in humans.

Authors:  Jun Zhang; Rajeshwari Sundaram; Wenyu Sun; James Troendle
Journal:  Am J Epidemiol       Date:  2008-09-05       Impact factor: 4.897

8.  Low Birth Weight due to Intrauterine Growth Restriction and/or Preterm Birth: Effects on Nephron Number and Long-Term Renal Health.

Authors:  Vladislava Zohdi; Megan R Sutherland; Kyungjoon Lim; Lina Gubhaju; Monika A Zimanyi; M Jane Black
Journal:  Int J Nephrol       Date:  2012-08-27

Review 9.  Fetal Growth Curves: Is There a Universal Reference?

Authors:  Katherine L Grantz
Journal:  Obstet Gynecol Clin North Am       Date:  2021-06       Impact factor: 2.838

10.  Neonatal mortality risk associated with preterm birth in East Africa, adjusted by weight for gestational age: individual participant level meta-analysis.

Authors:  Tanya Marchant; Barbara Willey; Joanne Katz; Siân Clarke; Simon Kariuki; Feiko ter Kuile; John Lusingu; Richard Ndyomugyenyi; Christentze Schmiegelow; Deborah Watson-Jones; Joanna Armstrong Schellenberg
Journal:  PLoS Med       Date:  2012-08-14       Impact factor: 11.069

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