Literature DB >> 8846549

Intrauterine growth retardation.

J O Gardosi1, J M Mongelli, T Mul.   

Abstract

IUGR puts the fetus at risk of stillbirth, perinatal morbidity and neonatal handicap, yet most instances of IUGR are not recognized. Progress has been made in recent years to monitor the high-risk fetus with intensive biometric and biophysical tests and to determine the appropriate time for intervention. These methods of surveillance are ineffective and inappropriate for population screening, and the main problem remains how to identify the at-risk fetus. Improvement of current performance requires the establishment of appropriate standards by which intrauterine growth can be assessed, and their introduction as part of well-organized screening programmes. We describe a computerized method of predicting the optimal weight for each pregnancy, which is individually adjusted for non-pathological variables such as maternal height, booking weight, ethnic group and parity. The optimal birthweight determines the expected slope or velocity of fetal weight gain. This individualized prediction improves the distinction between constitutional and pathological smallness. Furthermore, preterm weights are measured against a fetal weight norm rather than a birthweight standard that is derived from non-physiological preterm deliveries. The customized growth chart allows screening for growth retardation by determining the growth velocity through serial measurement and plotting of fundal height, backed up as necessary by ultrasound estimation of fetal weight and referral for more intensive surveillance as indicated.

Entities:  

Mesh:

Year:  1995        PMID: 8846549     DOI: 10.1016/s0950-3552(05)80374-8

Source DB:  PubMed          Journal:  Baillieres Clin Obstet Gynaecol        ISSN: 0950-3552


  5 in total

1.  Modeling fetal weight for gestational age: a comparison of a flexible multi-level spline-based model with other approaches.

Authors:  Luc Villandré; Jennifer A Hutcheon; Maria Esther Perez Trejo; Haim Abenhaim; Geir Jacobsen; Robert W Platt
Journal:  Int J Biostat       Date:  2011-08-23       Impact factor: 0.968

2.  Epigenetic changes in peripheral leucocytes as biomarkers in intrauterine growth retardation rat.

Authors:  Xue-Feng Xu; Shan-Shan Xu; Lin-Cheng Fu; Qiong-Yao Hu; Ying Lv; Li-Zhong Du
Journal:  Biomed Rep       Date:  2016-10-11

3.  Measurement of symphysis fundal height for gestational age estimation in low-to-middle-income countries: A systematic review and meta-analysis.

Authors:  Rachel Whelan; Lauren Schaeffer; Ingrid Olson; Lian V Folger; Saima Alam; Nayab Ajaz; Karima Ladhani; Bernard Rosner; Blair J Wylie; Anne C C Lee
Journal:  PLoS One       Date:  2022-08-25       Impact factor: 3.752

4.  Risk factors and long-term health consequences of macrosomia: a prospective study in Jiangsu Province, China.

Authors:  Shouyong Gu; Xiaofei An; Liang Fang; Xiaomin Zhang; Chunyan Zhang; Jingling Wang; Qilan Liu; Yanfang Zhang; Yongyue Wei; Zhibin Hu; Feng Chen; Hongbing Shen
Journal:  J Biomed Res       Date:  2012-07-06

5.  Epigenetics of hypoxic pulmonary arterial hypertension following intrauterine growth retardation rat: epigenetics in PAH following IUGR.

Authors:  Xue-Feng Xu; Ying Lv; Wei-Zhong Gu; Li-Li Tang; Jia-Kai Wei; Li-Yan Zhang; Li-Zhong Du
Journal:  Respir Res       Date:  2013-02-14
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.