Literature DB >> 3748491

Analysis of birth weight percentile as a predictor of perinatal outcome.

R M Patterson, T J Prihoda, C E Gibbs, R C Wood.   

Abstract

Birth weight-gestational age tables are convenient methods for the neonatal evaluation of intrauterine growth, however, the limits of acceptable birth weight for gestational age are controversial. The purpose of this study was to identify the birth weight percentiles that accurately predicted poor perinatal outcome from 28 through 41 weeks' gestational age. In a homogeneous population of 44,811 patients, the birth weight percentile that predicted poor perinatal outcome varied with gestational age. The birth weight percentile that predicted normal outcome in 80% of normal patients declined from the 55th percentile at 28 to 29 weeks to the 24th percentile at 34 to 35 weeks. From 28 through 35 weeks' gestational age, possibly owing to the confounding effects of prematurity, patients classified as normal by birth weight criteria still had a significant risk of poor outcome. After 36 weeks' gestational age, poor perinatal outcome occurred in 3.9% of patients and tended to occur at the extremes of birth weight. Classification by birth weights approximating the tenth and 90th percentiles identified a population in which the majority of the poor perinatal outcome occurred. However, poor outcome occurred in only 10% of patients with birth weights below the tenth or above the 90th percentiles. Among those with birth weights between the tenth and 90th percentiles, outcome was normal in 98%. Therefore, from 36 through 41 weeks' gestational age, the prevalence of poor perinatal outcome was low, and birth weight percentile was a weak predictor of outcome in the individual patient.

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Mesh:

Year:  1986        PMID: 3748491

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  7 in total

1.  Fetal weight normograms for singleton pregnancies in a Jordanian population.

Authors:  Nahla Subhi Al-Bayyari; Adel Taha Abu-Heija
Journal:  Ann Saudi Med       Date:  2010 Mar-Apr       Impact factor: 1.526

2.  An epigenetic clock for gestational age at birth based on blood methylation data.

Authors:  Anna K Knight; Jeffrey M Craig; Christiane Theda; Marie Bækvad-Hansen; Jonas Bybjerg-Grauholm; Christine S Hansen; Mads V Hollegaard; David M Hougaard; Preben B Mortensen; Shantel M Weinsheimer; Thomas M Werge; Patricia A Brennan; Joseph F Cubells; D Jeffrey Newport; Zachary N Stowe; Jeanie L Y Cheong; Philippa Dalach; Lex W Doyle; Yuk J Loke; Andrea A Baccarelli; Allan C Just; Robert O Wright; Mara M Téllez-Rojo; Katherine Svensson; Letizia Trevisi; Elizabeth M Kennedy; Elisabeth B Binder; Stella Iurato; Darina Czamara; Katri Räikkönen; Jari M T Lahti; Anu-Katriina Pesonen; Eero Kajantie; Pia M Villa; Hannele Laivuori; Esa Hämäläinen; Hea Jin Park; Lynn B Bailey; Sasha E Parets; Varun Kilaru; Ramkumar Menon; Steve Horvath; Nicole R Bush; Kaja Z LeWinn; Frances A Tylavsky; Karen N Conneely; Alicia K Smith
Journal:  Genome Biol       Date:  2016-10-07       Impact factor: 13.583

3.  Maternal sleep and small for gestational age infants in the Japan Environment and Children's Study: a cohort study.

Authors:  Seiichi Morokuma; Mototsugu Shimokawa; Kiyoko Kato; Masafumi Sanefuji; Eiji Shibata; Mayumi Tsuji; Ayako Senju; Toshihiro Kawamoto; Koichi Kusuhara
Journal:  BMC Res Notes       Date:  2017-08-11

4.  Impact of Second Trimester Maternal Dietary Intake on Gestational Weight Gain and Neonatal Birth Weight.

Authors:  Malshani L Pathirathna; Kayoko Sekijima; Mieko Sadakata; Naoshi Fujiwara; Yoshiyuki Muramatsu; Kuruppu M S Wimalasiri
Journal:  Nutrients       Date:  2017-06-17       Impact factor: 5.717

5.  Accuracy of Fetal Weight Estimation by Ultrasonographic Evaluation in a Northeastern Region of India.

Authors:  Ranjumoni Konwar; Bharati Basumatary; Malamoni Dutta; Putul Mahanta
Journal:  Int J Biomater       Date:  2021-12-20

6.  The value of predicting restriction of fetal growth and compromise of its wellbeing: Systematic quantitative overviews (meta-analysis) of test accuracy literature.

Authors:  Rachel K Morris; Khalid S Khan; Aravinthan Coomarasamy; Stephen C Robson; Jos Kleijnen
Journal:  BMC Pregnancy Childbirth       Date:  2007-03-08       Impact factor: 3.007

7.  Relationship between hyperemesis gravidarum and small-for-gestational-age in the Japanese population: the Japan Environment and Children's Study (JECS).

Authors:  Seiichi Morokuma; Mototsugu Shimokawa; Kiyoko Kato; Masafumi Sanefuji; Eiji Shibata; Mayumi Tsuji; Ayako Senju; Toshihiro Kawamoto; Koichi Kusuhara
Journal:  BMC Pregnancy Childbirth       Date:  2016-08-26       Impact factor: 3.007

  7 in total

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