Literature DB >> 22893556

Population versus customized fetal growth norms and adverse outcomes in an intrapartum cohort.

Maged M Costantine1, Yinglei Lai, Steven L Bloom, Catherine Y Spong, Michael W Varner, Dwight J Rouse, Susan M Ramin, Steve N Caritis, Alan M Peaceman, Yoram Sorokin, Anthony Sciscione, Brian M Mercer, John M Thorp, Fergal D Malone, Margaret Harper, Jay D Iams.   

Abstract

OBJECTIVE: To compare population versus customized fetal growth norms in identifying neonates at risk for adverse outcomes (APO) associated with small for gestational age (SGA). STUDY
DESIGN: Secondary analysis of an intrapartum fetal pulse oximetry trial in nulliparous women at term. Birth weight percentiles were calculated using ethnicity- and gender-specific population norms and customized norms (Gardosi).
RESULTS: Of the studied neonates, 508 (9.9%) and 584 (11.3%) were SGA by population (SGApop) and customized (SGAcust) norms, respectively. SGApop infants were significantly associated with a composite adverse neonatal outcome, neonatal intensive care admission, low fetal oxygen saturation, and reduced risk of cesarean delivery; both SGApop and SGAcust infants were associated with a 5-minute Apgar score < 4. The ability of customized and population birth weight percentiles in predicting APO was poor (12 of 14 APOs had area under the curve of <0.6).
CONCLUSION: In this intrapartum cohort, neither customized nor normalized population norms adequately identified neonates at risk of APO related to SGA. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2012        PMID: 22893556      PMCID: PMC3622136          DOI: 10.1055/s-0032-1324708

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  24 in total

1.  Perinatal outcome in SGA births defined by customised versus population-based birthweight standards.

Authors:  B Clausson; J Gardosi; A Francis; S Cnattingius
Journal:  BJOG       Date:  2001-08       Impact factor: 6.531

2.  Customised antenatal growth charts.

Authors:  J Gardosi; A Chang; B Kalyan; D Sahota; E M Symonds
Journal:  Lancet       Date:  1992-02-01       Impact factor: 79.321

3.  Adverse pregnancy outcome and association with small for gestational age birthweight by customized and population-based percentiles.

Authors:  Jason Gardosi; Andre Francis
Journal:  Am J Obstet Gynecol       Date:  2009-07       Impact factor: 8.661

Review 4.  Optimal growth modeling.

Authors:  Shane Reeves; Ira M Bernstein
Journal:  Semin Perinatol       Date:  2008-06       Impact factor: 3.300

5.  Application of a customised birthweight standard in the assessment of perinatal outcome in a high risk population.

Authors:  C L de Jong; J Gardosi; G A Dekker; G J Colenbrander; H P van Geijn
Journal:  Br J Obstet Gynaecol       Date:  1998-05

6.  Reduction of false-positive diagnosis of fetal growth restriction by application of customized fetal growth standards.

Authors:  M Mongelli; J Gardosi
Journal:  Obstet Gynecol       Date:  1996-11       Impact factor: 7.661

7.  An adjustable fetal weight standard.

Authors:  J Gardosi; M Mongelli; M Wilcox; A Chang
Journal:  Ultrasound Obstet Gynecol       Date:  1995-09       Impact factor: 7.299

8.  Customized versus population-based birth weight standards for identifying growth restricted infants: a French multicenter study.

Authors:  Anne Ego; Damien Subtil; Gilles Grange; Olivier Thiebaugeorges; Marie-Victoire Senat; Christophe Vayssiere; Jennifer Zeitlin
Journal:  Am J Obstet Gynecol       Date:  2006-04       Impact factor: 8.661

9.  Adjustment of birth weight standards for maternal and infant characteristics improves the prediction of outcome in the small-for-gestational-age infant.

Authors:  A C Sciscione; R Gorman; N A Callan
Journal:  Am J Obstet Gynecol       Date:  1996-09       Impact factor: 8.661

10.  Cerebral palsy and restricted growth status at birth: population-based case-control study.

Authors:  B Jacobsson; K Ahlin; A Francis; G Hagberg; H Hagberg; J Gardosi
Journal:  BJOG       Date:  2008-09       Impact factor: 6.531

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  6 in total

1.  A new customized fetal growth standard for African American women: the PRB/NICHD Detroit study.

Authors:  Adi L Tarca; Roberto Romero; Dereje W Gudicha; Offer Erez; Edgar Hernandez-Andrade; Lami Yeo; Gaurav Bhatti; Percy Pacora; Eli Maymon; Sonia S Hassan
Journal:  Am J Obstet Gynecol       Date:  2018-02       Impact factor: 8.661

2.  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

3.  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

4.  Polymorphisms of CYP51A1 from cholesterol synthesis: associations with birth weight and maternal lipid levels and impact on CYP51 protein structure.

Authors:  Monika Lewińska; Urska Zelenko; Franci Merzel; Simona Golic Grdadolnik; Jeffrey C Murray; Damjana Rozman
Journal:  PLoS One       Date:  2013-12-17       Impact factor: 3.240

5.  Customized versus Population Growth Standards for Morbidity and Mortality Risk Stratification Using Ultrasonographic Fetal Growth Assessment at 22 to 29 Weeks' Gestation.

Authors:  Nathan R Blue; William A Grobman; Jacob C Larkin; Christina M Scifres; Hyagriv N Simhan; Judith H Chung; George R Saade; David M Haas; Ronald Wapner; Uma M Reddy; Brian Mercer; Samuel I Parry; Robert M Silver
Journal:  Am J Perinatol       Date:  2020-03-20       Impact factor: 3.079

6.  High-altitude population neonatal and maternal phenotypes associated with birthweight protection.

Authors:  Padma Dolma; P T Angchuk; Vandana Jain; Vatsla Dadhwal; Dalvir Kular; David J Williams; Hugh E Montgomery; Sara L Hillman
Journal:  Pediatr Res       Date:  2021-06-08       Impact factor: 3.756

  6 in total

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