7
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Assessment of Fetal Growth by Customized Growth Charts

      review-article

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Customized fetal growth charts take account of the individual variation in the fetal growth potential based on non-pathological maternal and fetal characteristics. Application of these customized weight charts might improve the distinction between pathological growth-restricted fetuses and fetuses that are small but have reached their growth potential. Current models for customized growth standards have been based on birth weight and fetal growth data. Variables used for customization are gestational age, maternal age, parity, ethnicity, height, weight and fetal sex. Thus far, it remains controversial whether these maternal and fetal characteristics used for customization are strong enough predictors for fetal growth on an individual level and are truly physiological characteristics. The currently available customized growth charts might be of benefit for use in epidemiological studies and clinical practice. Further studies are needed to validate these customized growth models and to examine whether and to what extend they improve identification of children that are at risk for morbidity in the perinatal period and later in life.

          Related collections

          Most cited references41

          • Record: found
          • Abstract: found
          • Article: not found

          Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker.

          M. S. Pepe (2004)
          A marker strongly associated with outcome (or disease) is often assumed to be effective for classifying persons according to their current or future outcome. However, for this assumption to be true, the associated odds ratio must be of a magnitude rarely seen in epidemiologic studies. In this paper, an illustration of the relation between odds ratios and receiver operating characteristic curves shows, for example, that a marker with an odds ratio of as high as 3 is in fact a very poor classification tool. If a marker identifies 10% of controls as positive (false positives) and has an odds ratio of 3, then it will correctly identify only 25% of cases as positive (true positives). The authors illustrate that a single measure of association such as an odds ratio does not meaningfully describe a marker's ability to classify subjects. Appropriate statistical methods for assessing and reporting the classification power of a marker are described. In addition, the serious pitfalls of using more traditional methods based on parameters in logistic regression models are illustrated.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Maternal and fetal risk factors for stillbirth: population based study

            Objective To assess the main risk factors associated with stillbirth in a multiethnic English maternity population. Design Cohort study. Setting National Health Service region in England. Population 92 218 normally formed singletons including 389 stillbirths from 24 weeks of gestation, delivered during 2009-11. Main outcome measure Risk of stillbirth. Results Multivariable analysis identified a significant risk of stillbirth for parity (para 0 and para ≥3), ethnicity (African, African-Caribbean, Indian, and Pakistani), maternal obesity (body mass index ≥30), smoking, pre-existing diabetes, and history of mental health problems, antepartum haemorrhage, and fetal growth restriction (birth weight below 10th customised birthweight centile). As potentially modifiable risk factors, maternal obesity, smoking in pregnancy, and fetal growth restriction together accounted for 56.1% of the stillbirths. Presence of fetal growth restriction constituted the highest risk, and this applied to pregnancies where mothers did not smoke (adjusted relative risk 7.8, 95% confidence interval 6.6 to 10.9), did smoke (5.7, 3.6 to 10.9), and were exposed to passive smoke only (10.0, 6.6 to 15.8). Fetal growth restriction also had the largest population attributable risk for stillbirth and was fivefold greater if it was not detected antenatally than when it was (32.0% v 6.2%). In total, 195 of the 389 stillbirths in this cohort had fetal growth restriction, but in 160 (82%) it had not been detected antenatally. Antenatal recognition of fetal growth restriction resulted in delivery 10 days earlier than when it was not detected: median 270 (interquartile range 261-279) days v 280 (interquartile range 273-287) days. The overall stillbirth rate (per 1000 births) was 4.2, but only 2.4 in pregnancies without fetal growth restriction, increasing to 9.7 with antenatally detected fetal growth restriction and 19.8 when it was not detected. Conclusion Most normally formed singleton stillbirths are potentially avoidable. The single largest risk factor is unrecognised fetal growth restriction, and preventive strategies need to focus on improving antenatal detection.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Birth weight and adult hypertension, diabetes mellitus, and obesity in US men.

              Low birth weight has been associated with several chronic diseases in adults, including hypertension, diabetes mellitus, and obesity. Further study of these diseases in a large cohort with information on a wide variety of risk factors is essential to determine more precisely the risks associated with birth weight. We examined the relation between birth weight and cumulative incidence of adult hypertension, incidence of non-insulin-dependent diabetes mellitus, and prevalence of obesity in a cohort of 22,846 US men (Health Professionals Follow-up Study). Birth weights, medical histories, family histories, and other factors were collected by biennial mailed questionnaires. Logistic regression was used to examine the association between birth weight and these chronic adult diseases. Low birth weight was associated with an increased risk of hypertension and diabetes; high birth weight was associated with an increased risk of obesity. Compared with men in the referent birth weight category (7.0 to 8.4 lb), men who weighed or = 10.0 lb was 2.08 (95% CI, 1.73 to 2.50). These findings support the hypothesis that early life exposures, for which birth weight is a marker, are associated with several chronic diseases in adulthood.
                Bookmark

                Author and article information

                Journal
                ANM
                Ann Nutr Metab
                10.1159/issn.0250-6807
                Annals of Nutrition and Metabolism
                S. Karger AG
                978-3-318-02782-2
                978-3-318-02783-9
                0250-6807
                1421-9697
                2014
                November 2014
                18 November 2014
                : 65
                : 2-3
                : 149-155
                Affiliations
                The Generation R Study Group and Departments of Epidemiology and Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
                Author notes
                *Vincent W.V. Jaddoe, MD, PhD, The Generation R Study Group (AE006), Erasmus Medical Center, PO Box 2040, NL-3000 CA Rotterdam (The Netherlands), E-Mail v.jaddoe@erasmusmc.nl
                Article
                361055 Ann Nutr Metab 2014;65:149-155
                10.1159/000361055
                25413653
                0ad0742a-94cb-44c9-8f11-b1e990f69bd6
                © 2014 S. Karger AG, Basel

                Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

                History
                Page count
                Figures: 1, Tables: 2, Pages: 7
                Categories
                Further Section

                Nutrition & Dietetics,Health & Social care,Public health
                Biometry,Maternal anthropometrics,Ultrasound,Ethnicity,Customized fetal growth curves,Fetal weight

                Comments

                Comment on this article