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Paoletti D, Smyth L, Westerway S, Hyett J, Mogra R, Haslett S, Peek M. A survey of current practice in reporting third trimester fetal biometry and Doppler in Australia and New Zealand. Australas J Ultrasound Med 2021; 24:225-237. [PMID: 34888132 DOI: 10.1002/ajum.12282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 07/03/2021] [Accepted: 08/08/2021] [Indexed: 11/10/2022] Open
Abstract
Introduction Inconsistent reporting practices in third trimester ultrasound, the choice of reference charts in particular, have the potential to misdiagnose abnormal fetal growth. But this may lead to unnecessary anxiety and confusion amongst patients and clinicians and ultimately influence clinical management. Therefore, we sought to determine the extent of variability in choice of fetal biometry and Doppler reference charts and reporting practices in Australia and New Zealand. Methods Clinicians performing and/or reporting obstetric ultrasound were invited to answer questions about fetal biometry and Doppler charts in a web-based survey. Results At least four population-based charts are in current use. The majority of respondents (78%) report the percentile for known gestational age (GA) alongside measurements and 63% using a cut-off of estimated fetal weight (EFW) < 10th percentile when reporting small for gestational age (SGA) and/or fetal growth restriction (FGR). The thresholds for the use of fetal and maternal Doppler in third trimester ultrasound varied in terms of the GA, EFW cut-off, and how measures were reported. The majority of respondents were not sure of which Doppler charts were used in their practice. Conclusion This survey revealed inconsistencies in choice of reference chart and reporting practices. The potential for misdiagnosis of abnormal fetal growth remains a significant issue.
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Affiliation(s)
- Debra Paoletti
- ANU Medical School College of Health and Medicine The Australian National University Canberra Australian Capital Territory Australia.,Centenary Hospital for Women and Children The Canberra Hospital Canberra Australian Capital Territory Australia
| | - Lillian Smyth
- ANU Medical School College of Health and Medicine The Australian National University Canberra Australian Capital Territory Australia
| | - Susan Westerway
- Faculty of Dentistry & Health Sciences Charles Sturt University Wagga Wagga New South Wales Australia
| | - Jon Hyett
- RPA Women and Babies Royal Prince Alfred Hospital Camperdown New South Wales Australia.,Discipline of Obstetrics, Gynaecology and Neonatology Faculty of Medicine University of Sydney Sydney New South Wales Australia
| | - Ritu Mogra
- RPA Women and Babies Royal Prince Alfred Hospital Camperdown New South Wales Australia
| | - Stephen Haslett
- Research School of Finance Actuarial Studies and Statistics The Australian National University Canberra Australian Capital Territory Australia.,Centre for Public Health Research Massey University Wellington New Zealand
| | - Michael Peek
- ANU Medical School College of Health and Medicine The Australian National University Canberra Australian Capital Territory Australia.,Centenary Hospital for Women and Children The Canberra Hospital Canberra Australian Capital Territory Australia
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Dyer KIC, Sanfilippo PG, White SW, Guggenheim JA, Hammond CJ, Newnham JP, Mackey DA, Yazar S. Associations Between Fetal Growth Trajectories and the Development of Myopia by 20 Years of Age. Invest Ophthalmol Vis Sci 2021; 61:26. [PMID: 33355605 PMCID: PMC7774062 DOI: 10.1167/iovs.61.14.26] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Purpose To evaluate the contribution of genetic and early life environmental factors, as reflected by fetal anthropometric growth trajectories, toward the development of myopia during childhood and adolescence. Methods This analysis included 498 singleton Caucasian participants from the Raine Study, a pregnancy cohort study based in Western Australia. Serial fetal biometric measurements of these participants were collected via ultrasound scans performed at 18, 24, 28, 34, and 38 weeks’ gestation. At a 20-year follow-up, the participants underwent a comprehensive ophthalmic examination, including cycloplegic autorefraction and ocular biometry measurements. Using a group-based trajectory modeling approach, we identified groups of participants with similar growth trajectories based on measurements of fetal head circumference (HC), abdominal circumference, femur length (FL), and estimated fetal weight (EFW). Differences between trajectory groups with respect to prevalence of myopia, axial length (AL), and corneal radius of curvature measured at the 20-year follow-up were evaluated via logistic regression and analysis of variance. Results Prevalence of myopia was highest among participants with consistently short or consistently long FLs (P = 0.04). There was also a trend toward increased prevalence with larger HC in late gestation, although not at a statistically significant level. Trajectory groups reflecting faster HC, FL, or EFW growth correlated with significantly flatter corneas (P = 0.03, P = 0.04, and P = 0.01, respectively) and a general, but not statistically significant, increase in AL. Conclusions Environmental or genetic factors influencing intrauterine skeletal growth may concurrently affect ocular development, with effects persisting into adulthood.
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Affiliation(s)
- Kathleen I C Dyer
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia.,School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Paul G Sanfilippo
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia.,Centre for Eye Research Australia, Department of Ophthalmology, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia
| | - Scott W White
- Division of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia.,Maternal Fetal Medicine Service, King Edward Memorial Hospital, Perth, Western Australia, Australia
| | - Jeremy A Guggenheim
- School of Optometry and Vision Science, Cardiff University, Cardiff, South Glamorgan, United Kingdom
| | - Chris J Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - John P Newnham
- Division of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia.,Maternal Fetal Medicine Service, King Edward Memorial Hospital, Perth, Western Australia, Australia
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Seyhan Yazar
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia.,Garvan Institute of Medical Research, Sydney, New South Wales, Australia
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Heazell AE, Hayes DJ, Whitworth M, Takwoingi Y, Bayliss SE, Davenport C. Biochemical tests of placental function versus ultrasound assessment of fetal size for stillbirth and small-for-gestational-age infants. Cochrane Database Syst Rev 2019; 5:CD012245. [PMID: 31087568 PMCID: PMC6515632 DOI: 10.1002/14651858.cd012245.pub2] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Stillbirth affects 2.6 million pregnancies worldwide each year. Whilst the majority of cases occur in low- and middle-income countries, stillbirth remains an important clinical issue for high-income countries (HICs) - with both the UK and the USA reporting rates above the mean for HICs. In HICs, the most frequently reported association with stillbirth is placental dysfunction. Placental dysfunction may be evident clinically as fetal growth restriction (FGR) and small-for-dates infants. It can be caused by placental abruption or hypertensive disorders of pregnancy and many other disorders and factorsPlacental abnormalities are noted in 11% to 65% of stillbirths. Identification of FGA is difficult in utero. Small-for-gestational age (SGA), as assessed after birth, is the most commonly used surrogate measure for this outcome. The degree of SGA is associated with the likelihood of FGR; 30% of infants with a birthweight < 10th centile are thought to be FGR, while 70% of infants with a birthweight < 3rd centile are thought to be FGR. Critically, SGA is the most significant antenatal risk factor for a stillborn infant. Correct identification of SGA infants is associated with a reduction in the perinatal mortality rate. However, currently used tests, such as measurement of symphysis-fundal height, have a low reported sensitivity and specificity for the identification of SGA infants. OBJECTIVES The primary objective was to assess and compare the diagnostic accuracy of ultrasound assessment of fetal growth by estimated fetal weight (EFW) and placental biomarkers alone and in any combination used after 24 weeks of pregnancy in the identification of placental dysfunction as evidenced by either stillbirth, or birth of a SGA infant. Secondary objectives were to investigate the effect of clinical and methodological factors on test performance. SEARCH METHODS We developed full search strategies with no language or date restrictions. The following sources were searched: MEDLINE, MEDLINE In Process and Embase via Ovid, Cochrane (Wiley) CENTRAL, Science Citation Index (Web of Science), CINAHL (EBSCO) with search strategies adapted for each database as required; ISRCTN Registry, UK Clinical Trials Gateway, WHO International Clinical Trials Portal and ClinicalTrials.gov for ongoing studies; specialist abstract and conference proceeding resources (British Library's ZETOC and Web of Science Conference Proceedings Citation Index). Search last conducted in Ocober 2016. SELECTION CRITERIA We included studies of pregnant women of any age with a gestation of at least 24 weeks if relevant outcomes of pregnancy (live birth/stillbirth; SGA infant) were assessed. Studies were included irrespective of whether pregnant women were deemed to be low or high risk for complications or were of mixed populations (low and high risk). Pregnancies complicated by fetal abnormalities and multi-fetal pregnancies were excluded as they have a higher risk of stillbirth from non-placental causes. With regard to biochemical tests, we included assays performed using any technique and at any threshold used to determine test positivity. DATA COLLECTION AND ANALYSIS We extracted the numbers of true positive, false positive, false negative, and true negative test results from each study. We assessed risk of bias and applicability using the QUADAS-2 tool. Meta-analyses were performed using the hierarchical summary ROC model to estimate and compare test accuracy. MAIN RESULTS We included 91 studies that evaluated seven tests - blood tests for human placental lactogen (hPL), oestriol, placental growth factor (PlGF) and uric acid, ultrasound EFW and placental grading and urinary oestriol - in a total of 175,426 pregnant women, in which 15,471 pregnancies ended in the birth of a small baby and 740 pregnancies which ended in stillbirth. The quality of included studies was variable with most domains at low risk of bias although 59% of studies were deemed to be of unclear risk of bias for the reference standard domain. Fifty-three per cent of studies were of high concern for applicability due to inclusion of only high- or low-risk women.Using all available data for SGA (86 studies; 159,490 pregnancies involving 15,471 SGA infants), there was evidence of a difference in accuracy (P < 0.0001) between the seven tests for detecting pregnancies that are SGA at birth. Ultrasound EFW was the most accurate test for detecting SGA at birth with a diagnostic odds ratio (DOR) of 21.3 (95% CI 13.1 to 34.6); hPL was the most accurate biochemical test with a DOR of 4.78 (95% CI 3.21 to 7.13). In a hypothetical cohort of 1000 pregnant women, at the median specificity of 0.88 and median prevalence of 19%, EFW, hPL, oestriol, urinary oestriol, uric acid, PlGF and placental grading will miss 50 (95% CI 32 to 68), 116 (97 to 133), 124 (108 to 137), 127 (95 to 152), 139 (118 to 154), 144 (118 to 161), and 144 (122 to 161) SGA infants, respectively. For the detection of pregnancies ending in stillbirth (21 studies; 100,687 pregnancies involving 740 stillbirths), in an indirect comparison of the four biochemical tests, PlGF was the most accurate test with a DOR of 49.2 (95% CI 12.7 to 191). In a hypothetical cohort of 1000 pregnant women, at the median specificity of 0.78 and median prevalence of 1.7%, PlGF, hPL, urinary oestriol and uric acid will miss 2 (95% CI 0 to 4), 4 (2 to 8), 6 (6 to 7) and 8 (3 to 13) stillbirths, respectively. No studies assessed the accuracy of ultrasound EFW for detection of pregnancy ending in stillbirth. AUTHORS' CONCLUSIONS Biochemical markers of placental dysfunction used alone have insufficient accuracy to identify pregnancies ending in SGA or stillbirth. Studies combining U and placental biomarkers are needed to determine whether this approach improves diagnostic accuracy over the use of ultrasound estimation of fetal size or biochemical markers of placental dysfunction used alone. Many of the studies included in this review were carried out between 1974 and 2016. Studies of placental substances were mostly carried out before 1991 and after 2013; earlier studies may not reflect developments in test technology.
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Affiliation(s)
- Alexander Ep Heazell
- Maternal and Fetal Health Research Centre, University of Manchester, 5th floor (Research), St Mary's Hospital, Oxford Road, Manchester, UK, M13 9WL
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Straker L, Mountain J, Jacques A, White S, Smith A, Landau L, Stanley F, Newnham J, Pennell C, Eastwood P. Cohort Profile: The Western Australian Pregnancy Cohort (Raine) Study-Generation 2. Int J Epidemiol 2019; 46:1384-1385j. [PMID: 28064197 DOI: 10.1093/ije/dyw308] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2016] [Indexed: 12/11/2022] Open
Affiliation(s)
- Leon Straker
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Jenny Mountain
- School of Population Health, University of Western Australia, Perth, WA, Australia
| | - Angela Jacques
- School of Population Health, University of Western Australia, Perth, WA, Australia
| | - Scott White
- Maternal Fetal Medicine Service, King Edward Memorial Hospital, Perth, WA, Australia
| | - Anne Smith
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Louis Landau
- School of Medicine and Pharmacology, University of Western Australia, and Department of Health, Government of Western Australia, Perth, WA, Australia
| | | | | | | | - Peter Eastwood
- Centre for Sleep Science, School of Anatomy, Physiology and Human Biology, University of Western Australia, Perth, WA, Australia
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Blanken LME, Dass A, Alvares G, van der Ende J, Schoemaker NK, El Marroun H, Hickey M, Pennell C, White S, Maybery MT, Dissanayake C, Jaddoe VWV, Verhulst FC, Tiemeier H, McIntosh W, White T, Whitehouse A. A prospective study of fetal head growth, autistic traits and autism spectrum disorder. Autism Res 2018; 11:602-612. [PMID: 29356450 PMCID: PMC5947578 DOI: 10.1002/aur.1921] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 12/22/2017] [Accepted: 12/27/2017] [Indexed: 01/16/2023]
Abstract
Altered trajectories of brain growth are often reported in Autism Spectrum Disorder (ASD), particularly during the first year of life. However, less is known about prenatal head growth trajectories, and no study has examined the relation with postnatal autistic symptom severity. The current study prospectively examined the association between fetal head growth and the spectrum of autistic symptom severity in two large population-based cohorts, including a sample of individuals with clinically diagnosed ASD. This study included 3,820 children from two longitudinal prenatal cohorts in The Netherlands and Australia, comprising 60 individuals with a confirmed diagnosis of ASD. Latent growth curve models were used to examine the relationship between fetal head circumference measured at three different time points and autistic traits measured in postnatal life using either the Social Responsiveness Scale or the Autism-Spectrum Quotient. While lower initial prenatal HC was weakly associated with increasing autistic traits in the Dutch cohort, this relationship was not observed in the Australian cohort, nor when the two cohorts were analysed together. No differences in prenatal head growth were found between individuals with ASD and controls. This large population-based study identified no consistent association across two cohorts between prenatal head growth and postnatal autistic traits. Our mixed findings suggest that further research in this area is needed. Autism Res 2018, 11: 602-612. © 2018 The Authors Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc. LAY SUMMARY It is not known whether different patterns of postnatal brain growth in Autism Spectrum Disorder (ASD) also occurs prenatally. We examined fetal head growth and autistic symptoms in two large groups from The Netherlands and Australia. Lower initial prenatal head circumference was associated with autistic traits in the Dutch, but not the Australian, group. No differences in head growth were found in individuals with ASD and controls when the data was combined. Our mixed findings suggest that more research in this area is needed.
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Affiliation(s)
- Laura M. E. Blanken
- Department of Child and Adolescent Psychiatry/PsychologySophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
- The Generation R Study Group, Erasmus University, Medical Center, PO Box 20403000 CARotterdamThe Netherlands
| | - Alena Dass
- Telethon Kids Institute, University of Western AustraliaPerthWestern AustraliaAustralia
| | - Gail Alvares
- Telethon Kids Institute, University of Western AustraliaPerthWestern AustraliaAustralia
- Cooperative Research Centre for Living with Autism (Autism CRC), Long Pocket CampusBrisbaneQueenslandAustralia
| | - Jan van der Ende
- Department of Child and Adolescent Psychiatry/PsychologySophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
| | | | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry/PsychologySophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
- The Generation R Study Group, Erasmus University, Medical Center, PO Box 20403000 CARotterdamThe Netherlands
| | - Martha Hickey
- Department of Obstetrics and GynaecologyUniversity of Melbourne and the Royal Women's HospitalParkvilleVictoriaAustralia
| | - Craig Pennell
- School of Women's and Infants' HealthUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
| | - Scott White
- School of Women's and Infants' HealthUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
| | - Murray T. Maybery
- School of Psychological ScienceUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
| | - Cheryl Dissanayake
- Olga Tennison Autism Research Centre, La Trobe UniversityBundooraVictoriaAustralia
| | - Vincent W. V. Jaddoe
- Department of Child and Adolescent Psychiatry/PsychologySophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of PediatricsSophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
| | - Frank C. Verhulst
- Department of Child and Adolescent Psychiatry/PsychologySophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/PsychologySophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Will McIntosh
- School of Psychological ScienceUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
| | - Tonya White
- Department of Child and Adolescent Psychiatry/PsychologySophia Children's Hospital, Erasmus University Medical CenterRotterdamThe Netherlands
- Department of RadiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Andrew Whitehouse
- Telethon Kids Institute, University of Western AustraliaPerthWestern AustraliaAustralia
- Cooperative Research Centre for Living with Autism (Autism CRC), Long Pocket CampusBrisbaneQueenslandAustralia
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Tarca AL, Romero R, Gudicha DW, Erez O, Hernandez-Andrade E, Yeo L, Bhatti G, Pacora P, Maymon E, Hassan SS. A new customized fetal growth standard for African American women: the PRB/NICHD Detroit study. Am J Obstet Gynecol 2018; 218:S679-S691.e4. [PMID: 29422207 DOI: 10.1016/j.ajog.2017.12.229] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND The assessment of fetal growth disorders requires a standard. Current nomograms for the assessment of fetal growth in African American women have been derived either from neonatal (rather than fetal) biometry data or have not been customized for maternal ethnicity, weight, height, and parity and fetal sex. OBJECTIVE We sought to (1) develop a new customized fetal growth standard for African American mothers; and (2) compare such a standard to 3 existing standards for the classification of fetuses as small (SGA) or large (LGA) for gestational age. STUDY DESIGN A retrospective cohort study included 4183 women (4001 African American and 182 Caucasian) from the Detroit metropolitan area who underwent ultrasound examinations between 14-40 weeks of gestation (the median number of scans per pregnancy was 5, interquartile range 3-7) and for whom relevant covariate data were available. Longitudinal quantile regression was used to build models defining the "normal" estimated fetal weight (EFW) centiles for gestational age in African American women, adjusted for maternal height, weight, and parity and fetal sex, and excluding pathologic factors with a significant effect on fetal weight. The resulting Perinatology Research Branch/Eunice Kennedy Shriver National Institute of Child Health and Human Development (hereinafter, PRB/NICHD) growth standard was compared to 3 other existing standards--the customized gestation-related optimal weight (GROW) standard; the Eunice Kennedy Shriver National Institute of Child Health and Human Development (hereinafter, NICHD) African American standard; and the multinational World Health Organization (WHO) standard--utilized to screen fetuses for SGA (<10th centile) or LGA (>90th centile) based on the last available ultrasound examination for each pregnancy. RESULTS First, the mean birthweight at 40 weeks was 133 g higher for neonates born to Caucasian than to African American mothers and 150 g higher for male than female neonates; maternal weight, height, and parity had a positive effect on birthweight. Second, analysis of longitudinal EFW revealed the following features of fetal growth: (1) all weight centiles were about 2% higher for male than for female fetuses; (2) maternal height had a positive effect on EFW, with larger fetuses being affected more (2% increase in the 95th centile of weight for each 10-cm increase in height); and (3) maternal weight and parity had a positive effect on EFW that increased with gestation and varied among the weight centiles. Third, the screen-positive rate for SGA was 7.2% for the NICHD African American standard, 12.3% for the GROW standard, 13% for the WHO standard customized by fetal sex, and 14.4% for the PRB/NICHD customized standard. For all standards, the screen-positive rate for SGA was at least 2-fold higher among fetuses delivered preterm than at term. Fourth, the screen-positive rate for LGA was 8.7% for the GROW standard, 9.2% for the PRB/NICHD customized standard, 10.8% for the WHO standard customized by fetal sex, and 12.3% for the NICHD African American standard. Finally, the highest overall agreement among standards was between the GROW and PRB/NICHD customized standards (Cohen's interrater agreement, kappa = 0.85). CONCLUSION We developed a novel customized PRB/NICHD fetal growth standard from fetal data in an African American population without assuming proportionality of the effects of covariates, and without assuming that these effects are equal on all centiles of weight; we also provide an easy-to-use centile calculator. This standard classified more fetuses as being at risk for SGA compared to existing standards, especially among fetuses delivered preterm, but classified about the same number of LGA. The comparison among the 4 growth standards also revealed that the most important factor determining agreement among standards is whether they account for the same factors known to affect fetal growth.
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Affiliation(s)
- Adi L Tarca
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Computer Science, Wayne State University College of Engineering, Detroit, MI
| | - Roberto Romero
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI.
| | - Dereje W Gudicha
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI
| | - Offer Erez
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Lami Yeo
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Gaurav Bhatti
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI
| | - Percy Pacora
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Eli Maymon
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Sonia S Hassan
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Physiology, Wayne State University School of Medicine, Detroit, MI
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Rizzo G, Prefumo F, Ferrazzi E, Zanardini C, Di Martino D, Boito S, Aiello E, Ghi T. The effect of fetal sex on customized fetal growth charts. J Matern Fetal Neonatal Med 2016; 29:3768-75. [PMID: 26836365 DOI: 10.3109/14767058.2016.1149565] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To evaluate the effect of fetal sex on singleton pregnancy growth charts customized for parental characteristics, race, and parity Methods: In a multicentric cross-sectional study, 8070 ultrasonographic examinations from low-risk singleton pregnancies between 16 and 40 weeks of gestation were considered. The fetal measurements obtained were biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL). Quantile regression was used to examine the impact of fetal sex across the biometric percentiles of the fetal measurements considered together with parents' height, weight, parity, and race. RESULTS Fetal gender resulted to be a significant covariate for BDP, HC, and AC with higher values for male fetuses (p ≤ 0.0009). Minimal differences were found among sexes for FL. Parity, maternal race, paternal height and maternal height, and weight resulted significantly related to the fetal biometric parameters considered independently from fetal gender. CONCLUSION In this study, we constructed customized biometric growth charts for fetal sex, parental, and obstetrical characteristics using quantile regression. The use of gender-specific charts offers the advantage to define individualized normal ranges of fetal biometric parameters at each specific centile. This approach may improve the antenatal identification of abnormal fetal growth.
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Affiliation(s)
- Giuseppe Rizzo
- a Department of Obstetrics and Gynecology , Università Roma Tor Vergata , Roma , Italy
| | - Federico Prefumo
- b Department of Obstetrics and Gynecology , Università of Brescia , Italy
| | - Enrico Ferrazzi
- c Department of Obstetrics and Gynecology , Università of Milan Buzzi Children's Hospital , Italy
| | - Cristina Zanardini
- b Department of Obstetrics and Gynecology , Università of Brescia , Italy
| | - Daniela Di Martino
- c Department of Obstetrics and Gynecology , Università of Milan Buzzi Children's Hospital , Italy
| | - Simona Boito
- d Department of Obstetrics and Gynecology , Università of Milan 'L. Mangiagalli', Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico , Milan , Italy , and
| | - Elisa Aiello
- a Department of Obstetrics and Gynecology , Università Roma Tor Vergata , Roma , Italy
| | - Tullio Ghi
- e Department of Obstetrics and Gynecology , Università of Parma , Italy
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Tarca AL, Hernandez-Andrade E, Ahn H, Garcia M, Xu Z, Korzeniewski SJ, Saker H, Chaiworapongsa T, Hassan SS, Yeo L, Romero R. Single and Serial Fetal Biometry to Detect Preterm and Term Small- and Large-for-Gestational-Age Neonates: A Longitudinal Cohort Study. PLoS One 2016; 11:e0164161. [PMID: 27802270 PMCID: PMC5089737 DOI: 10.1371/journal.pone.0164161] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Accepted: 09/20/2016] [Indexed: 11/24/2022] Open
Abstract
Objectives To assess the value of single and serial fetal biometry for the prediction of small- (SGA) and large-for-gestational-age (LGA) neonates delivered preterm or at term. Methods A cohort study of 3,971 women with singleton pregnancies was conducted from the first trimester until delivery with 3,440 pregnancies (17,334 scans) meeting the following inclusion criteria: 1) delivery of a live neonate after 33 gestational weeks and 2) two or more ultrasound examinations with fetal biometry parameters obtained at ≤36 weeks. Primary outcomes were SGA (<5th centile) and LGA (>95th centile) at birth based on INTERGROWTH-21st gender-specific standards. Fetus-specific estimated fetal weight (EFW) trajectories were calculated by linear mixed-effects models using data up to a fixed gestational age (GA) cutoff (28, 32, or 36 weeks) for fetuses having two or more measurements before the GA cutoff and not already delivered. A screen test positive for single biometry was based on Z-scores of EFW at the last scan before each GA cut-off so that the false positive rate (FPR) was 10%. Similarly, a screen test positive for the longitudinal analysis was based on the projected (extrapolated) EFW at 40 weeks from all available measurements before each cutoff for each fetus. Results Fetal abdominal and head circumference measurements, as well as birth weights in the Detroit population, matched well to the INTERGROWTH-21st standards, yet this was not the case for biparietal diameter (BPD) and femur length (FL) (up to 9% and 10% discrepancy for mean and confidence intervals, respectively), mainly due to differences in the measurement technique. Single biometry based on EFW at the last scan at ≤32 weeks (GA IQR: 27.4–30.9 weeks) had a sensitivity of 50% and 53% (FPR = 10%) to detect preterm and term SGA and LGA neonates, respectively (AUC of 82% both). For the detection of LGA using data up to 32- and 36-week cutoffs, single biometry analysis had higher sensitivity than longitudinal analysis (52% vs 46% and 62% vs 52%, respectively; both p<0.05). Restricting the analysis to subjects with the last observation taken within two weeks from the cutoff, the sensitivity for detection of LGA, but not SGA, increased to 65% and 72% for single biometry at the 32- and 36-week cutoffs, respectively. SGA screening performance was higher for preterm (<37 weeks) than for term cases (73% vs 46% sensitivity; p<0.05) for single biometry at ≤32 weeks. Conclusions When growth abnormalities are defined based on birth weight, growth velocity (captured in the longitudinal analysis) does not provide additional information when compared to the last measurement for predicting SGA and LGA neonates, with both approaches detecting one-half of the neonates (FPR = 10%) from data collected at ≤32 weeks. Unlike for SGA, LGA detection can be improved if ultrasound scans are scheduled as close as possible to the gestational-age cutoff when a decision regarding the clinical management of the patient needs to be made. Screening performance for SGA is higher for neonates that will be delivered preterm.
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Affiliation(s)
- Adi L. Tarca
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, United States of America
- * E-mail: (RR); (ALT)
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Hyunyoung Ahn
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Maynor Garcia
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Zhonghui Xu
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
| | - Steven J. Korzeniewski
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
| | - Homam Saker
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Tinnakorn Chaiworapongsa
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Sonia S. Hassan
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Lami Yeo
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Roberto Romero
- Perinatology Research Branch, NICHD/NIH/DHHS, Bethesda, MD, and Detroit, Michigan, United States of America
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, United States of America
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, United States of America
- * E-mail: (RR); (ALT)
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Agarwal P, Rajadurai VS, Yap F, Yeo G, Chong YS, Kwek K, Saw SM, Gluckman PD, Lee YS, Tan KH. Comparison of customized and cohort-based birthweight standards in identification of growth-restricted infants in GUSTO cohort study. J Matern Fetal Neonatal Med 2015; 29:2519-22. [DOI: 10.3109/14767058.2015.1092956] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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