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Gardosi J, Ewington LJ, Booth K, Bick D, Bouliotis G, Butler E, Deshpande S, Ellson H, Fisher J, Gornall A, Lall R, Mistry H, Naghdi S, Petrou S, Slowther AM, Wood S, Underwood M, Quenby S. Induction of labour versus standard care to prevent shoulder dystocia in fetuses suspected to be large for gestational age in the UK (the Big Baby trial): a multicentre, open-label, randomised controlled trial. Lancet 2025:S0140-6736(25)00162-X. [PMID: 40319899 DOI: 10.1016/s0140-6736(25)00162-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Revised: 01/17/2025] [Accepted: 01/23/2025] [Indexed: 05/07/2025]
Abstract
BACKGROUND The benefits and harms of early induction of labour to reduce shoulder dystocia in fetuses suspected to be large for gestational age (LGA) are uncertain. We aimed to investigate whether early induction of labour is associated with a reduced risk of shoulder dystocia compared with standard care. METHODS In this open-label, randomised controlled phase 3 trial, women aged ≥18 years with a suspected LGA fetus (estimated fetal weight >90th customised percentile) as identified by ultrasound scan between 35 weeks and 0 days (35+0 weeks) of gestation and 38+0 weeks' gestation, recruited from 106 hospitals across England, Scotland, and Wales in the UK, were randomly assigned (1:1) by web app to standard care or induction of labour between 38+0 weeks' gestation and 38+0 weeks' gestation using minimisation, balancing site, estimated fetal weight percentile (≤95th EFW percentile or >95th EFW percentile), and maternal age (≤35 years or >35 years). Key exclusion criteria included drug-treated diabetes, gestational diabetes, and elective caesarean section or induction already planned or indicated for any reason. Our primary outcome was incidence of shoulder dystocia, assessed by a masked independent expert adjudication panel who reviewed participants' delivery notes. Induction of labour was anticipated to result in birth 10·5 days earlier with a 300 g lower birthweight on average than standard care. We did an intention-to-treat (ITT) analysis in all participants for whom we had primary outcome data, and a per-protocol analysis in participants in the induction group who went into labour or were induced at 38+0 to 38+0 weeks' gestation versus participants in the standard care group who had not started labour, been induced, or had an elective caesarean section before 38+0 weeks' gestation. This study was registered with ISRCTN (18229892) and is no longer recruiting. FINDINGS Between June 8, 2018, and Oct 25, 2022, 2893 women were randomly assigned to induction of labour (n=1447) or standard care (n=1446); the trial was terminated before the target of 4000 participants was reached on advice of the data monitoring committee following the lower-than-expected incidence of shoulder dystocia in the standard care group. Two participants in the induction group and seven in the standard care group had missing data for the primary outcome and were excluded from the ITT analysis. In the ITT analysis, 33 (2·3%) of 1445 babies in the induction group versus 44 (3·1%) of 1439 in the standard care group had shoulder dystocia (risk ratio [RR] 0·75 [95% CI 0·51-1·09]; p=0·14) with a mean difference of -6·0 days' (95% CI -6·3 to -5·6) gestation and -163·6 g (-190·0 to -137·1) birthweight between trial groups. 355 (24·6%) of 1446 mothers in the standard care group were induced, delivered, or went into labour at or before 38+0 weeks' gestation. In the per-protocol analysis, 27 (2·3%) of 1180 babies in the induction group versus 40 (3·7%) of 1074 in the standard care group had shoulder dystocia (RR 0·62 [0·41-0·92]; p=0·019), and there was a mean difference of -8·1 days' (-8·4 to -7·9) gestation and -213·3 g (-242·0 to -184·6) birthweight between trial groups. One neonatal death occurred from perinatal asphyxia after shoulder dystocia in the standard care group, and one neonatal death occurred following sepsis and congenital pneumonia in the induction group. 88 (6·1%) of 1447 mothers in the induction group had an adverse event versus 108 (7·5%) of 1446 in the standard care group (RR 0·81 [0·62 to 1·06]; p=0·13). Similar numbers of serious adverse events were reported in both groups. INTERPRETATION No significant difference in incidence of shoulder dystocia was found between trial groups in the ITT analysis, probably due to the high proportion of earlier-than-expected deliveries in the standard care group reducing the intended between-group differences in gestational age and birthweight. However, in the per-protocol analysis, compared with all deliveries after 38+0 weeks' gestation, induction of labour between 38+0 weeks' gestation and 38+0 weeks' gestation did show a significant reduction in shoulder dystocia. This study provides pregnant women with suspected LGA fetuses and their clinicians important information about choices and decision making for timing and mode of birth. FUNDING National Institute for Health and Care Research Health Technology Assessment Programme.
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Affiliation(s)
- Jason Gardosi
- Perinatal Institute, Birmingham, UK; Division of Reproductive Health, Warwick Medical School, University of Warwick, Coventry, UK.
| | - Lauren Jade Ewington
- Division of Reproductive Health, Warwick Medical School, University of Warwick, Coventry, UK; University Hospitals Coventry and Warwickshire, Coventry, UK
| | - Katie Booth
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Debra Bick
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - George Bouliotis
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | | | - Sanjeev Deshpande
- Shrewsbury and Telford NHS Trust, Princess Royal Hospital, Telford, UK
| | | | - Joanne Fisher
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Adam Gornall
- Shrewsbury and Telford NHS Trust, Princess Royal Hospital, Telford, UK
| | - Ranjit Lall
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Hema Mistry
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK; University Hospitals Coventry and Warwickshire, Coventry, UK
| | - Seyran Naghdi
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Anne-Marie Slowther
- Warwick Applied Health, Warwick Medical School, University of Warwick, Coventry, UK
| | - Sara Wood
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK
| | - Martin Underwood
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Coventry, UK; University Hospitals Coventry and Warwickshire, Coventry, UK
| | - Siobhan Quenby
- Division of Reproductive Health, Warwick Medical School, University of Warwick, Coventry, UK; University Hospitals Coventry and Warwickshire, Coventry, UK.
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Monier I, Ego A, Hocquette A, Benachi A, Goffinet F, Lelong N, Le Ray C, Zeitlin J. Validity of a Delphi consensus definition of growth restriction in the newborn for identifying neonatal morbidity. Am J Obstet Gynecol 2025; 232:224.e1-224.e13. [PMID: 38697341 DOI: 10.1016/j.ajog.2024.04.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/04/2024]
Abstract
BACKGROUND Small for gestational age is defined as a birthweight below a birthweight percentile threshold, usually the 10th percentile, with the third or fifth percentile used to identify severe small for gestational age. Small for gestational age is used as a proxy for growth restriction in the newborn, but small-for-gestational-age newborns can be physiologically small and healthy. In addition, this definition excludes growth-restricted newborns who have weights more than the 10th percentile. To address these limits, a Delphi study developed a new consensus definition of growth restriction in newborns on the basis of neonatal anthropometric and clinical parameters, but it has not been evaluated. OBJECTIVE To assess the prevalence of growth restriction in the newborn according to the Delphi consensus definition and to investigate associated morbidity risks compared with definitions of Small for gestational age using birthweight percentile thresholds. STUDY DESIGN Data come from the 2016 and 2021 French National Perinatal Surveys, which include all births ≥22 weeks and/or with birthweights ≥500 g in all maternity units in France over 1 week. Data are collected from medical records and interviews with mothers after the delivery. The study population included 23,897 liveborn singleton births. The Delphi consensus definition of growth restriction was birthweight less than third percentile or at least 3 of the following criteria: birthweight, head circumference or length <10th percentile, antenatal diagnosis of growth restriction, or maternal hypertension. A composite of neonatal morbidity at birth, defined as 5-minute Apgar score <7, cord arterial pH <7.10, resuscitation and/or neonatal admission, was compared using the Delphi definition and usual birthweight percentile thresholds for defining small for gestational age using the following birthweight percentile groups: less than a third, third to fourth, and fifth to ninth percentiles. Relative risks were adjusted for maternal characteristics (age, parity, body mass index, smoking, educational level, preexisting hypertension and diabetes, and study year) and then for the consensus definition and birthweight percentile groups. Multiple imputation by chained equations was used to impute missing data. Analyses were carried out in the overall sample and among term and preterm newborns separately. RESULTS We identified that 4.9% (95% confidence intervals, 4.6-5.2) of newborns had growth restriction. Of these infants, 29.7% experienced morbidity, yielding an adjusted relative risk of 2.5 (95% confidence intervals, 2.2-2.7) compared with newborns without growth restriction. Compared with birthweight ≥10th percentile, morbidity risks were higher for low birthweight percentiles (less than third percentile: adjusted relative risk, 3.3 [95% confidence intervals, 3.0-3.7]; third to fourth percentile: relative risk, 1.4 [95% confidence intervals, 1.1-1.7]; fifth to ninth percentile: relative risk, 1.4 [95% confidence intervals, 1.2-1.6]). In adjusted models including the definition of growth restriction and birthweight percentile groups and excluding birthweights less than third percentile, which are included in both definitions, morbidity risks remained higher for birthweights at the third to fourth percentile (adjusted relative risk, 1.4 [95% confidence intervals, 1.1-1.7]) and fifth to ninth percentile (adjusted relative risk, 1.4 [95% confidence intervals, 1.2-1.6]), but not for the Delphi definition of growth restriction (adjusted relative risk, 0.9 [95% confidence intervals, 0.7-1.2]). Similar patterns were found for term and preterm newborns. CONCLUSION The Delphi consensus definition of growth restriction did not identify more newborns with morbidity than definitions of small for gestational age on the basis of birthweight percentiles. These findings illustrate the importance of evaluating the results of Delphi consensus studies before their adoption in clinical practice.
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Affiliation(s)
- Isabelle Monier
- Obstetrical, Perinatal and Pediatric Epidemiology (EPOPé) Research Team, Université de Paris, Epidemiology and Statistics Research Center (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de la recherche agronomique (INRA), Paris, France.
| | - Anne Ego
- Obstetrical, Perinatal and Pediatric Epidemiology (EPOPé) Research Team, Université de Paris, Epidemiology and Statistics Research Center (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de la recherche agronomique (INRA), Paris, France; Public Health Department, CHU Grenoble Alpes, Université Grenoble Alpes, CNRS, Grenoble INP Institute of Engineering, TIMC-IMAG, Grenoble, France; INSERM CIC U1406, Grenoble, France
| | - Alice Hocquette
- Obstetrical, Perinatal and Pediatric Epidemiology (EPOPé) Research Team, Université de Paris, Epidemiology and Statistics Research Center (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de la recherche agronomique (INRA), Paris, France
| | - Alexandra Benachi
- Department of Obstetrics and Gynaecology, Antoine Béclère Hospital, AP-HP, University Paris Saclay, Clamart, France
| | - Francois Goffinet
- Obstetrical, Perinatal and Pediatric Epidemiology (EPOPé) Research Team, Université de Paris, Epidemiology and Statistics Research Center (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de la recherche agronomique (INRA), Paris, France; Maternité Port-Royal, AP-HP, APHP, Centre-Université de Paris, FHU PREMA, Paris, France
| | - Nathalie Lelong
- Obstetrical, Perinatal and Pediatric Epidemiology (EPOPé) Research Team, Université de Paris, Epidemiology and Statistics Research Center (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de la recherche agronomique (INRA), Paris, France
| | - Camille Le Ray
- Obstetrical, Perinatal and Pediatric Epidemiology (EPOPé) Research Team, Université de Paris, Epidemiology and Statistics Research Center (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de la recherche agronomique (INRA), Paris, France; Maternité Port-Royal, AP-HP, APHP, Centre-Université de Paris, FHU PREMA, Paris, France
| | - Jennifer Zeitlin
- Obstetrical, Perinatal and Pediatric Epidemiology (EPOPé) Research Team, Université de Paris, Epidemiology and Statistics Research Center (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de la recherche agronomique (INRA), Paris, France
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Zeegers B, Offerhaus P, Hoftiezer L, Groenendaal F, Zimmermann LJI, Verhoeven C, Gordijn SJ, Nieuwenhuijze MJ. Birthweight charts customised for maternal height optimises the classification of small and large-for-gestational age newborns. Acta Paediatr 2024; 113:2203-2211. [PMID: 39412950 DOI: 10.1111/apa.17332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 06/09/2024] [Accepted: 06/13/2024] [Indexed: 10/18/2024]
Abstract
AIM To construct birthweight charts customised for maternal height and evaluate the effect of customization on SGA and LGA classification. METHODS Data were extracted (n = 21 350) from the MiCaS project in the Netherlands (2012-2020). We constructed the MiCaS-birthweight chart customised for maternal height using Hadlock's method. We defined seven 5-centimetre height categories from 153 to 157 cm until 183-187 cm and calculated SGA and LGA prevalences for each category, using MiCaS and current Dutch birthweight charts. RESULTS The MiCaS-chart showed substantially higher birthweight values between identical percentiles with increasing maternal height. In the Dutch birthweight chart, not customised for maternal height, the prevalence of SGA ( p90) increased with increasing height category, from 1.4% in the lowest height category to 21.8% in the highest category (range 20.4%). In the MiCaS-birthweight chart, SGA and LGA prevalences were more constant across maternal heights, similar to overall prevalences (SGA range 3.3% and LGA range 1.7%). CONCLUSION Compared to the current Dutch birthweight chart, the MiCaS-birthweight chart customised for maternal height shows a more even distribution of SGA and LGA prevalences across maternal heights.
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Affiliation(s)
- Bert Zeegers
- Research Centre for Midwifery Science, Zuyd University, Maastricht, The Netherlands
| | - Pien Offerhaus
- Research Centre for Midwifery Science, Zuyd University, Maastricht, The Netherlands
| | - Liset Hoftiezer
- Department of Neonatology, Amalia Children's Hospital, Radboudumc Graduate School, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Floris Groenendaal
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Luc J I Zimmermann
- Department of Paediatrics-Neonatology and School for Oncology and Developmental Biology, Maastricht UMC, Maastricht, The Netherlands
| | - Corine Verhoeven
- Amsterdam UMC location Vrije Universiteit Amsterdam, Midwifery Science, Amsterdam, The Netherlands
- Midwifery Academy Amsterdam Groningen, Inholland, Amsterdam, The Netherlands
- Amsterdam Public Health, Quality of Care, Amsterdam, The Netherlands
- Department of General Practice and Elderly Care Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Division of Midwifery, School of Health Sciences, University of Nottingham, Nottingham, UK
- Department of Obstetrics and Gynaecology, Maxima Medical Centre, Veldhoven, The Netherlands
| | - Sanne J Gordijn
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marianne J Nieuwenhuijze
- Research Centre for Midwifery Science, Zuyd University, Maastricht, The Netherlands
- CAPHRI, Maastricht University, Maastricht, The Netherlands
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Geerts L, Brink LT, Odendaal HJ. Selecting a birth weight standard for an indigenous population in a LMIC: A prospective comparative study. Int J Gynaecol Obstet 2024; 166:1161-1169. [PMID: 38571441 PMCID: PMC11518920 DOI: 10.1002/ijgo.15519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 03/12/2024] [Accepted: 03/24/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVES The aim of the present study was to compare birth weight (BW) distribution and proportion of BWs below or above specified percentiles in low-risk singleton pregnancies in healthy South African (SA) women of mixed ancestry with expected values according to four BW references and to determine the physiological factors affecting BW. METHODS This was an ancillary study of a prospective multinational cohort study, involving 7060 women recruited between August 2007 and January 2015 in two townships of Cape Town, characterized by low socioeconomic status, and high levels of drinking and smoking. Detailed information about maternal and pregnancy characteristics, including harmful exposures, was gathered prospectively, allowing us to select healthy women with uncomplicated pregnancies without any known harmful exposures. In this cohort we compared the median BW and the proportion of BWs P90, 95 and 97 according to four reference standards (INTERGROWTH-21st, customized according to the method described by Mickolajczyk, Fetal Medicine Foundation and revised Fenton reference) with expected values. Appropriate parametric and nonparametric tests were used, and sensitivity analysis was performed for infant sex, first trimester bookings and women of normal body mass index (BMI). Multiple regression was used to explore effects of confounders. Written consent and ethics approval was obtained. RESULTS The cohort included 739 infants. The INTERGROWTH-21st standard was closest for the actual BW-distribution and categories. Below-expected BW was associated with boys, younger, shorter, leaner women, lower parity and gravidity. Actual BW was significantly influenced by maternal weight, BMI, parity and gestational age. CONCLUSION Of the four references assessed in this study, the INTERGROWTH-21st standard was closest for the actual BW distribution. Maternal variables significantly influence BW.
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Affiliation(s)
- Lut Geerts
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health Sciences, Stellenbosch University, Parow, South Africa
| | - Lucy T Brink
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health Sciences, Stellenbosch University, Parow, South Africa
| | - Hein J Odendaal
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health Sciences, Stellenbosch University, Parow, South Africa
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Verspyck E, Senat MV, Monier I, Ego A, Zeitlin J, Subtil D, Visser GHA, Vayssiere C. Which fetal growth charts should be used in France? Position of the French College of Obstetricians and Gynecologists (CNGOF). Int J Gynaecol Obstet 2024; 166:783-789. [PMID: 38288863 DOI: 10.1002/ijgo.15404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 07/18/2024]
Abstract
OBJECTIVE To assess which fetal growth charts best describe intrauterine growth in France defined as the ability to classify 10% of fetuses below the 10th percentile (small for gestational age [SGA]) and above the 90th percentile (large for gestational age [LGA]) in the second and third trimesters. METHODS We analyzed five studies on fetal ultrasound measurements using three French data sources. Two studies used second and third trimester ultrasound data from a nationwide birth cohort in 2011 (the ELFE study, N = 13 197 and N = 7747); one study used third trimester ultrasound data from on a nationwide cross-sectional study (the 2016 French National Perinatal Survey, N = 9940); and the last two studies were from the "Flash study" 2014 which prospectively collected ultrasound data from routine visits in the second and third trimesters (N = 4858 and N = 3522). For each study, we reported the percentage of measurements below the 10th percentile or above the 90th percentile, using French, Hadlock's, WHO and Intergrowth (IG) charts. RESULTS WHO classified 4.7% and 16.3% of fetuses as having an estimated fetal weight (EFW) <10th and >90th percentiles in the second trimester compared to 3.3% and 34.7% with IG. The percentage of fetuses in the third trimester with an EFW <10th and >90th percentiles, ranged from 9.1% to 9.4% and from 8.0% to 11.1%, respectively, for WHO, and from 3.9% to 4.1% and from 17.3% to 21.6%, respectively, for IG. The WHO and IG charts for head circumference were very similar and performed well. Compared to the WHO charts, the French and Hadlock's charts deviated more frequently from the target percentiles values for EFW and biometric measures. CONCLUSION It is recommended to use the WHO charts for the assessment of EFW and ultrasound biometric measurements in France (strong recommendation; low quality of evidence).
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Affiliation(s)
- Eric Verspyck
- Service de Gynécologie-Obstétrique, Université de Rouen, CHU de Rouen, France
| | - Marie-Victoire Senat
- Service de Gynécologie-Obstétrique, Université du Kremlin-Bicêtre, CHU du Kremlin-Bicêtre, France
| | - Isabelle Monier
- Université Paris Cité, CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team (EPOPé), INSERM, INRA, Paris, France
| | - Anne Ego
- Université Paris Cité, CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team (EPOPé), INSERM, INRA, Paris, France
- Pôle Santé Publique, CHU Grenoble Alpes, Grenoble, France
| | - Jennifer Zeitlin
- Université Paris Cité, CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team (EPOPé), INSERM, INRA, Paris, France
| | - Damien Subtil
- Service de Gynécologie-Obstétrique, Université de Lille, CHU de Lille, France
| | - Gerard H A Visser
- Department of Obstetrics, University, Medical Center, Utrecht, The Netherlands
- International Federation of Gynecology and Obstetrics (FIGO), London, UK
| | - Christophe Vayssiere
- Service de Gynécologie-Obstétrique, Hôpital Paule de Viguier, CHU de Toulouse, France
- CERPOP, UMR 1295, Team SPHERE (Study of Perinatal, Pediatric and adolescent Health: Epidemiological Research and Evaluation), Toulouse III University, Toulouse, France
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Mascherpa M, Pegoire C, Meroni A, Minopoli M, Thilaganathan B, Frick A, Bhide A. Prenatal prediction of adverse outcome using different charts and definitions of fetal growth restriction. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:605-612. [PMID: 38145554 DOI: 10.1002/uog.27568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 12/03/2023] [Accepted: 12/09/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE Antenatal growth assessment using ultrasound aims to identify small fetuses that are at higher risk of perinatal morbidity and mortality. This study explored whether the association between suboptimal fetal growth and adverse perinatal outcome varies with different definitions of fetal growth restriction (FGR) and different weight charts/standards. METHODS This was a retrospective cohort study of 17 261 singleton non-anomalous pregnancies at ≥ 24 + 0 weeks' gestation that underwent routine ultrasound at a tertiary referral hospital. Estimated fetal weight (EFW) and Doppler indices were converted into percentiles using a reference standard (INTERGROWTH-21st (IG-21)) and various reference charts (Hadlock, Fetal Medicine Foundation (FMF) and Swedish). Test characteristics were assessed using the consensus definition, Society for Maternal-Fetal Medicine (SMFM) definition and Swedish criteria for FGR. Adverse perinatal outcome was defined as perinatal death, admission to the neonatal intensive care unit at term, 5-min Apgar score < 7 and therapeutic cooling for neonatal encephalopathy. The association between FGR according to each definition and adverse perinatal outcome was compared. Multivariate logistic regression analysis was used to test the strength of association between ultrasound parameters and adverse perinatal outcome. Ultrasound parameters were also tested for correlation. RESULTS IG-21, Hadlock and FMF fetal size references classified as growth-restricted 1.5%, 3.6% and 4.6% of fetuses, respectively, using the consensus definition and 2.9%, 8.8% and 10.6% of fetuses, respectively, using the SMFM definition. The sensitivity of the definition/chart combinations for adverse perinatal outcome varied from 4.4% (consensus definition with IG-21 charts) to 13.2% (SMFM definition with FMF charts). Specificity varied from 89.4% (SMFM definition with FMF charts) to 98.6% (consensus definition with IG-21 charts). The consensus definition and Swedish criteria showed the highest specificity, positive predictive value and positive likelihood ratio in detecting adverse outcome, irrespective of the reference chart/standard used. Conversely, the SMFM definition had the highest sensitivity across all investigated growth charts. Low EFW, abnormal mean uterine artery pulsatility index (UtA-PI) and abnormal cerebroplacental ratio were significantly associated with adverse perinatal outcome and there was a positive correlation between the covariates. Multivariate logistic regression showed that UtA-PI > 95th percentile and EFW < 5th percentile were the only parameters consistently associated with adverse outcome, irrespective of the definitions or fetal growth chart/standard used. CONCLUSIONS The apparent prevalence of FGR varies according to the definition and fetal size reference chart/standard used. Irrespective of the method of classification, the sensitivity for the identification of adverse perinatal outcome remains low. EFW, UtA-PI and fetal Doppler parameters are significant predictors of adverse perinatal outcome. As these indices are correlated with one other, a prediction algorithm is advocated to overcome the limitations of using these parameters in isolation. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- M Mascherpa
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, Università degli Studi di Brescia, Brescia, Italy
| | - C Pegoire
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
| | - A Meroni
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, Università degli Studi di Pavia, Pavia, Italy
| | - M Minopoli
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, Università degli Study di Parma, Parma, Italy
| | - B Thilaganathan
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
| | - A Frick
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
| | - A Bhide
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
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Hocquette A, Zeitlin J. Point: Setting realistic expectations for the evaluation of intrauterine growth charts. Paediatr Perinat Epidemiol 2024; 38:15-17. [PMID: 37921414 DOI: 10.1111/ppe.13017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 11/04/2023]
Affiliation(s)
- Alice Hocquette
- Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Université Paris Cité, Center for Research in Epidemiolgy and Statistics (CRESS), Institut national de la santé et de la recherche médicale (INSERM), Paris, France
| | - Jennifer Zeitlin
- Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Université Paris Cité, Center for Research in Epidemiolgy and Statistics (CRESS), Institut national de la santé et de la recherche médicale (INSERM), Paris, France
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John S, Joseph KS, Fahey J, Liu S, Kramer MS. The clinical performance and population health impact of birthweight-for-gestational age indices at term gestation. Paediatr Perinat Epidemiol 2024; 38:1-11. [PMID: 37337693 DOI: 10.1111/ppe.12994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 06/08/2023] [Accepted: 06/11/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND The assessment of birthweight for gestational age and the identification of small- and large-for-gestational age (SGA and LGA) infants remain contentious, despite the recent creation of the Intergrowth 21st Project and World Health Organisation (WHO) birthweight-for-gestational age standards. OBJECTIVE We carried out a study to identify birthweight-for-gestational age cut-offs, and corresponding population-based, Intergrowth 21st and WHO centiles associated with higher risks of adverse neonatal outcomes, and to evaluate their ability to predict serious neonatal morbidity and neonatal mortality (SNMM) at term gestation. METHODS The study population was based on non-anomalous, singleton live births between 37 and 41 weeks' gestation in the United States from 2003 to 2017. SNMM included 5-min Apgar score <4, neonatal seizures, need for assisted ventilation, and neonatal death. Birthweight-specific SNMM was modelled by gestational week using penalised B-splines. The birthweights at which SNMM odds were minimised (and higher by 10%, 50% and 100%) were estimated, and the corresponding population, Intergrowth 21st, and WHO centiles were identified. The clinical performance and population impact of these cut-offs for predicting SNMM were evaluated. RESULTS The study included 40,179,663 live births and 991,486 SNMM cases. Among female singletons at 39 weeks' gestation, SNMM odds was lowest at 3203 g birthweight, and 10% higher at 2835 g and 3685 g (population centiles 11th and 82nd, Intergrowth centiles 17th and 88th and WHO centiles 15th and 85th). Birthweight cut-offs were poor predictors of SNMM, for example, the cut-offs associated with 10% and 50% higher odds of SNMM among female singletons at 39 weeks' gestation resulted in a sensitivity, specificity, and population attributable fraction of 12.5%, 89.4%, and 2.1%, and 2.9%, 98.4% and 1.3%, respectively. CONCLUSIONS Reference- and standard-based birthweight-for-gestational age indices and centiles perform poorly for predicting adverse neonatal outcomes in individual infants, and their associated population impact is also small.
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Affiliation(s)
- Sid John
- Department of Obstetrics and Gynaecology, University of British Columbia and the Children's and Women's Hospital and Health Centre of British Columbia, Vancouver, British Columbia, Canada
| | - K S Joseph
- Department of Obstetrics and Gynaecology, University of British Columbia and the Children's and Women's Hospital and Health Centre of British Columbia, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - John Fahey
- Reproductive Care Program of Nova Scotia, Halifax, Nova Scotia, Canada
| | - Shiliang Liu
- Centre for Surveillance and Applied Research, Public Health Agency of Canada and the School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Michael S Kramer
- Departments of Epidemiology and Occupation Health and of Pediatrics, McGill University, Montréal, Quebec, Canada
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Diguisto C, Morgan AS, Foix L'Hélias L, Pierrat V, Ancel PY, Cohen JF, Goffinet F. Five-year outcomes for extremely preterm babies with active perinatal management: A clinical prediction model. BJOG 2024; 131:151-156. [PMID: 37592874 DOI: 10.1111/1471-0528.17633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/19/2023] [Accepted: 07/23/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVE To develop and validate a clinical prediction model for outcomes at 5 years of age for children born extremely preterm and receiving active perinatal management. DESIGN The EPIPAGE-2 national prospective cohort. SETTING France, 2011. POPULATION Live-born neonates between 24+0 and 26+6 weeks of gestation who received active perinatal management (i.e. birth in a tertiary-level hospital, with antenatal steroids and resuscitation at birth). METHODS A prediction model using logistic modelling, including gestational age, small-for gestational-age (SGA) status and sex, was developed. Model performance was assessed through calibration and discrimination, with bootstrap internal validation. MAIN OUTCOME MEASURES Survival without moderate or severe neurodevelopmental disability (NDD) at 5 years. RESULTS Among the 557 neonates included, 401 (72%) survived to 5 years, of which 59% survived without NDD (95% CI 54% to 63%). Predicted rates of survival without NDD ranged from 45% (95% CI 33% to 57%), to 56% (95% CI 49% to 64%) to 64% (95% CI 57% to 70%) for neonates born at 24, 25 and 26 weeks of gestation, respectively. Predicted rates of survival without NDD were 47% (95% CI 18% to 76%) and 62% (95% CI 49% to 76%) for SGA and non-SGA children, respectively. The model showed good calibration (calibration slope 0.85, 95% CI 0.54 to 1.16; calibration-in-the-large -0.0123, 95% CI -0.25 to 0.23) and modest discrimination (C-index 0.59, 95% CI 0.53 to 0.65). CONCLUSIONS A simple prediction model using three factors easily known antenatally may help doctors and families in their decision-making for extremely preterm neonates receiving active perinatal management.
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Affiliation(s)
- Caroline Diguisto
- Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France
- Maternité Olympe de Gouges Centre, Hospitalier Regional Universitaire Tours, Université de Tours, Tours, France
| | - Andrei Scott Morgan
- Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France
- Department of Neonatal Medicine, Hôpital Nord, Association Publique Hôpitaux de Marseille, Marseille, France
| | - Laurence Foix L'Hélias
- Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France
- Department of Neonatal Paediatrics, Trousseau Hospital, APHP, Sorbonne University, Paris, France
| | - Veronique Pierrat
- Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France
- Department of Neonatology, CHI Créteil, Créteil, France
| | - Pierre-Yves Ancel
- Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France
- Clinical Investigation Centre P1419, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Jérémie F Cohen
- Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France
- Department of General Paediatrics and Paediatric Infectious Diseases, Hôpital Necker-Enfants Malades, APHP, Université Paris Cité, Paris, France
| | - Francois Goffinet
- Université Paris Cité, Université Sorbonne Paris Nord, Inserm, INRAE, CRESS U1153, EPOPé, Paris, France
- Maternité Port Royal, Université Paris Cité, Cochin-Broca-Hôtel Dieu Hospitals, Assistance Publique-Hôpitaux de Paris, DHU Risk in Pregnancy, Paris, France
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Kamphof HD, van Roekel M, Henrichs J, de Vreede H, Verhoeven CJ, Franx A, de Jonge A, Ganzevoort W, Gordijn SJ. Predictive value of fetal growth trajectory from 20 weeks of gestation onwards for severe adverse perinatal outcome in low-risk population: secondary analysis of IRIS study. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2023; 62:796-804. [PMID: 37204332 DOI: 10.1002/uog.26250] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 05/01/2023] [Accepted: 05/07/2023] [Indexed: 05/20/2023]
Abstract
OBJECTIVES The placental dysfunction underlying fetal growth restriction (FGR) may result in severe adverse perinatal outcome (SAPO) related to fetal hypoxia. Traditionally, the diagnostic criteria for FGR have been based on fetal size, an approach that is inherently flawed because it often results in either over- or underdiagnosis. The anomaly ultrasound scan at 20 weeks' gestation may be an appropriate time at which to set a benchmark for growth potential of the individual fetus. We hypothesized that the fetal growth trajectory from that point onwards may be informative regarding third-trimester placental dysfunction. The aim of this study was to investigate the predictive value for SAPO of a slow fetal growth trajectory between 18 + 0 to 23 + 6 weeks and 32 + 0 to 36 + 6 weeks' gestation in a large, low-risk population. METHODS This was a post-hoc data analysis of the IUGR Risk Selection (IRIS) study, a Dutch nationwide cluster-randomized trial assessing the (cost-)effectiveness of routine third-trimester sonography in reducing SAPO. In the current analysis, for the first ultrasound examination we used ultrasound data from the routine anomaly scan at 18 + 0 to 23 + 6 weeks' gestation, and for the second we used data from an ultrasound examination performed between 32 + 0 and 36 + 6 weeks' gestation. Using multilevel logistic regression, we analyzed whether SAPO was predicted by a slow fetal growth trajectory, which was defined as a decline in abdominal circumference (AC) and/or estimated fetal weight (EFW) of more than 20 percentiles or more than 50 percentiles or as an AC growth velocity (ACGV) < 10th percentile (p10). In addition, we analyzed the combination of these indicators of slow fetal growth with small-for-gestational age (SGA) (AC or EFW < p10) and severe SGA (AC/EFW < 3rd percentile) at 32 + 0 to 36 + 6 weeks' gestation. RESULTS Our sample included the data of 6296 low-risk singleton pregnancies, among which 82 (1.3%) newborns experienced at least one SAPO. Standalone declines in AC or EFW of > 20 or > 50 percentiles or ACGV < p10 were not associated with increased odds of SAPO. EFW < p10 between 32 + 0 and 36 + 6 weeks' gestation combined with a decline in EFW of > 20 percentiles was associated with an increased rate of SAPO. The combination of AC or EFW < p10 between 32 + 0 and 36 + 6 weeks' gestation with ACGV < p10 was also associated with increased odds of SAPO. The odds ratios of these associations were higher if the neonate was SGA at birth. CONCLUSIONS In a low-risk population, a slow fetal growth trajectory as a standalone criterion does not distinguish adequately between fetuses with FGR and those that are constitutionally small. This absence of association may be a result of diagnostic inaccuracies and/or post-diagnostic (e.g. intervention and selection) biases. We conclude that new approaches to detect placental insufficiency should integrate information from diagnostic tools such as maternal serum biomarkers and Doppler ultrasound measurements. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- H D Kamphof
- Department of Obstetrics and Gynecology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - M van Roekel
- Department of Midwifery Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Midwifery Academy Amsterdam Groningen, InHolland, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of General Practice and Elderly Care Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - J Henrichs
- Department of Midwifery Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Midwifery Academy Amsterdam Groningen, InHolland, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of General Practice and Elderly Care Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - H de Vreede
- Department of Midwifery Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - C J Verhoeven
- Department of Midwifery Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Midwifery Academy Amsterdam Groningen, InHolland, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of General Practice and Elderly Care Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
- Division of Midwifery, School of Health Sciences, University of Nottingham, Nottingham, UK
- Department of Obstetrics and Gynecology, Maxima Medical Centre, Veldhoven, The Netherlands
| | - A Franx
- Department of Obstetrics and Gynecology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - A de Jonge
- Department of Midwifery Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Midwifery Academy Amsterdam Groningen, InHolland, Amsterdam, The Netherlands
- Department of General Practice and Elderly Care Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
- Department of Obstetrics and Gynecology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - W Ganzevoort
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - S J Gordijn
- Department of Obstetrics and Gynecology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
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Leon-Martinez D, Lundsberg LS, Culhane J, Zhang J, Son M, Reddy UM. Fetal growth restriction and small for gestational age as predictors of neonatal morbidity: which growth nomogram to use? Am J Obstet Gynecol 2023; 229:678.e1-678.e16. [PMID: 37348779 DOI: 10.1016/j.ajog.2023.06.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 06/15/2023] [Accepted: 06/15/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Fetal growth nomograms were developed to screen for fetal growth restriction and guide clinical care to improve perinatal outcomes; however, existing literature remains inconclusive regarding which nomogram is the gold standard. OBJECTIVE This study aimed to compare the ability of 4 commonly used nomograms (Hadlock, International Fetal and Newborn Growth Consortium for the 21st Century, Eunice Kennedy Shriver National Institute of Child Health and Human Development-unified standard, and World Health Organization fetal growth charts) and 1 institution-specific reference to predict small for gestational age and poor neonatal outcomes. STUDY DESIGN This was a retrospective cohort study of all nonanomalous singleton pregnancies undergoing ultrasound at ≥20 weeks of gestation between 2013 and 2020 and delivering at a single academic center. Using random selection methods, the study sample was restricted to 1 pregnancy per patient and 1 ultrasound per pregnancy completed at ≥22 weeks of gestation. Fetal biometry data were used to calculate estimated fetal weight and percentiles according to the aforementioned 5 nomograms. Maternal and neonatal data were extracted from electronic medical records. Logistic regression was used to estimate the association between estimated fetal weight of <10th and <3rd percentiles compared with estimated fetal weight of 10th to 90th percentile as the reference group for small for gestational age and the neonatal composite outcomes (perinatal mortality, hypoxic-ischemic encephalopathy or seizures, respiratory morbidity, intraventricular hemorrhage, necrotizing enterocolitis, hyperbilirubinemia or hypoglycemia requiring neonatal intensive care unit admission, and retinopathy of prematurity). Receiver operating characteristic curve contrast estimation (primary analysis) and test characteristics were calculated for all nomograms and the prediction of small for gestational age and the neonatal composite outcomes. We restricted the sample to ultrasounds performed within 28 days of delivery; moreover, similar analyses were completed to assess the prediction of small for gestational age and neonatal composite outcomes. RESULTS Among 10,045 participants, the proportion of fetuses classified as <10th percentile varied across nomograms from 4.9% to 9.7%. Fetuses with an estimated fetal weight of <10th percentile had an increased risk of small for gestational age (odds ratio, 9.9 [95% confidence interval, 8.5-11.5] to 12.8 [95% confidence interval, 10.9-15.0]). In addition, the estimated fetal weight of <10th and <3rd percentile was associated with increased risk of the neonatal composite outcome (odds ratio, 2.4 [95% confidence interval, 2.0-2.8] to 3.5 [95% confidence interval, 2.9-4.3] and 5.7 [95% confidence interval, 4.5-7.2] to 8.8 [95% confidence interval, 6.6-11.8], respectively). The prediction of small for gestational age with an estimated fetal weight of <10th percentile had a positive likelihood ratio of 6.3 to 8.5 and an area under the curve of 0.62 to 0.67. Similarly, the prediction of the neonatal composite outcome with an estimated fetal weight of <10th percentile had a positive likelihood ratio of 2.1 to 3.1 and an area under the curve of 0.55 to 0.57. When analyses were restricted to ultrasound within 4 weeks of delivery, among fetuses with an estimated fetal weight of <10th percentile, the risk of small for gestational age increased across all nomograms (odds ratio, 16.7 [95% confidence interval, 12.6-22.3] to 25.1 [95% confidence interval, 17.0-37.0]), and prediction improved (positive likelihood ratio, 8.3-15.0; area under the curve, 0.69-0.75). Similarly, the risk of neonatal composite outcome increased (odds ratio, 3.2 [95% confidence interval, 2.4-4.2] to 5.2 [95% confidence interval, 3.8-7.2]), and prediction marginally improved (positive likelihood ratio, 2.4-4.1; area under the curve, 0.60-0.62). Importantly, the risk of both being small for gestational age and having the neonatal composite outcome further increased (odds ratio, 21.4 [95% confidence interval, 13.6-33.6] to 28.7 (95% confidence interval, 18.6-44.3]), and the prediction of concurrent small for gestational age and neonatal composite outcome greatly improved (positive likelihood ratio, 6.0-10.0; area under the curve, 0.80-0.83). CONCLUSION In this large cohort, Hadlock, recent fetal growth nomograms, and a local population-derived fetal growth reference performed comparably in the prediction of small for gestational age and neonatal composite outcomes.
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Affiliation(s)
- Daisy Leon-Martinez
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT.
| | - Lisbet S Lundsberg
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT
| | - Jennifer Culhane
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT
| | - Jun Zhang
- International Peace Maternal and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Moeun Son
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT
| | - Uma M Reddy
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT
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12
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Verspyck E, Thill C, Ego A, Machevin E, Brasseur-Daudruy M, Ickowicz V, Blondel C, Degré S, Lefebure A, Braund S, Benichou J. Screening for small for gestational age infants in early vs late third-trimester ultrasonography: a randomized trial. Am J Obstet Gynecol MFM 2023; 5:101162. [PMID: 37717697 DOI: 10.1016/j.ajogmf.2023.101162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/01/2023] [Accepted: 09/09/2023] [Indexed: 09/19/2023]
Abstract
BACKGROUND Recent studies have demonstrated that a routine third-trimester ultrasound scan may improve the detection of small for gestational age infants when compared with clinically indicated ultrasound scans but with no reported reduction in severe perinatal morbidity. Establishing the optimal gestational age for the third-trimester examination necessitates evaluation of the ability to detect small for gestational age infants and to predict maternal and perinatal outcomes. Intrauterine growth restriction most often corresponds with small for gestational age infants associated with pathologic growth patterns. OBJECTIVE This study aimed to assess the performance of routine early ultrasound scans vs late ultrasound scans during the third trimester of pregnancy to identify small for gestational age infants and fetuses with intrauterine growth restriction. STUDY DESIGN This was an open-label, randomized, parallel trial conducted in Upper Normandy, France, from 2012 to 2015. The study eligibility criteria were heathy, nulliparous women older than 18 years with gestational age determined using the crown-rump length at the first trimester routine scan and with no fetal malformation or suspected small for gestational age fetus at the routine second trimester scan. Pregnant women were randomly assigned to a third-trimester scan group at 31 weeks gestational age ±6 days (early ultrasound scan) or at 35 weeks gestational age ±6 days (late ultrasound scan). The primary outcome of this trial was the ability of a third trimester scan to predict small for gestational age infants (customized birth weight <10th percentile) and intrauterine growth restriction (customized birth weight RESULTS Results from 1853 women assigned to the early ultrasound scan group and 1848 women assigned to the late ultrasound scan group were analyzed. The sensitivity was found to be higher in the late ultrasound scan group than in the early ultrasound scan group, both for identifying small for gestational age infants (27%; 22%-32% vs 17%; 13%-22%; P=.004) and intrauterine growth restriction (44%; 35%-54% vs 18%; 11%-27%; P<.001). There was little difference in the specificity between the late ultrasound scan and early ultrasound scan groups in identifying cases of small for gestational age (97%; 96%-98% and 98%; 97%-99%, respectively; P=.04) and intrauterine growth restriction (96%; 95%-97% and 97%; 96%;-97%, respectively; P=.24). Overall, the maternal and neonatal outcomes were comparable between the early ultrasound scan and late ultrasound scan groups with the exception of additional (at least 1) ultrasound scans performed (25% in the early ultrasound scan group vs 19% in the late ultrasound scan group; P<.001). Rates of perinatal death (0.4% vs 0.8%; P=.12) and adverse perinatal outcomes (1.8% vs 2.7%; P=.08) were comparable between the early ultrasound scan and late ultrasound scan assigned groups, and the overall sensitivity to detect small for gestational age infants and intrauterine growth restriction, including in the last ultrasound scan performed before delivery, were also similar (30%; 25%-36% vs 26%; 21%-31%; P=.23; and 50%; 40%-60% vs 38%; 28%-48%; P=.07). CONCLUSION A late ultrasound scan performed in the third trimester increases the probability of detecting small for gestational age infants and intrauterine growth restriction with fewer additional scans reported than for the early ultrasound scan group. The overall perinatal outcome risk was comparable between the 2 groups. However, the overall sensitivity for detecting small for gestational age fetuses and intrauterine growth restriction, including in the last ultrasound scan performed before delivery, remains comparable between the late ultrasound scan and early ultrasound scan groups.
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Affiliation(s)
- Eric Verspyck
- Department of Obstetrics and Gynecology, Rouen University Hospital, Rouen, France (Drs Verspyck, Brasseur-Daudruy, Braund, and Benichou).
| | - Caroline Thill
- Department of Biostatistics, Rouen University Hospital, Rouen, France (Dr Thill)
| | - Anne Ego
- University Grenoble Alpes, CNRS, Public Health Department CHU Grenoble Alpes, Grenoble Institute of Engineering, TIMC-IMAG, 38000 Grenoble, France (Dr Ego); INSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Center for Epidemiology and Statistics Sorbonne Paris Cité (CRESS), FHU PREMA, Paris Descartes University, Paris, France (Dr Ego)
| | - Elise Machevin
- Department of Obstetrics and Gynecology, Evreux Hospital, Evreux, France (Dr Machevin)
| | - Marie Brasseur-Daudruy
- Department of Obstetrics and Gynecology, Rouen University Hospital, Rouen, France (Drs Verspyck, Brasseur-Daudruy, Braund, and Benichou)
| | - Valentine Ickowicz
- Department of Obstetrics and Gynecology, Belvedere Hospital, Mont Saint Aignan, France (Dr Ickowicz)
| | - Caroline Blondel
- Department of Obstetrics and Gynecology, Mathilde Private Clinic, Rouen, France (Dr Blondel)
| | - Sophie Degré
- Department of Obstetrics and Gynecology, Le Havre Hospital, Le Havre, France (Dr Degré)
| | - Anne Lefebure
- Department of Obstetrics and Gynecology, Elbeuf Hospital, Elbeuf, France (Dr Lefebure)
| | - Sophia Braund
- Department of Obstetrics and Gynecology, Rouen University Hospital, Rouen, France (Drs Verspyck, Brasseur-Daudruy, Braund, and Benichou)
| | - Jacques Benichou
- Department of Obstetrics and Gynecology, Rouen University Hospital, Rouen, France (Drs Verspyck, Brasseur-Daudruy, Braund, and Benichou); Inserm U1018, University of Rouen and University Paris-Saclay, Rouen, France (Dr Benichou); Department of Biostatistics, Rouen University Hospital, Rouen, France (Dr Benichou)
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Dhombres F, Massoud M. [A pragmatic comparison of fetal biometry curves]. GYNECOLOGIE, OBSTETRIQUE, FERTILITE & SENOLOGIE 2023; 51:524-530. [PMID: 37739067 DOI: 10.1016/j.gofs.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
INTRODUCTION The fetal biometrics charts recommended in France for ultrasound screening include measurements of head circumference (HC), biparietal diameter (BIP), abdominal circumference (AC) and femur length (FL). New international growth standards have been recommended since 2022. The aim of this work is to quantitatively describe the differences between these biometric curves. METHODS The biometry curves from the French College for Fetal Ultrasound, OMS and INTERGROWTH-21 are pragmatically compared based on their original quantile regression equations (superposition and quantification of differences in millimeters and in proportion) for different percentiles of clinical interest. RESULTS Compared with the new charts, CFEF underestimates HC<-3DS and AC<10eP. The proportions of differences between the CFEF and INTERGROWTH-21 or WHO curves always remained <5%. The proportions of difference of the 3rd percentile of HC and FL, 10th and 90th percentile of AC were always lower than 2%, 2%, 5% and 4% respectively, between OMS and INTERGROWTH-21. CONCLUSION The switch to prescriptive standards suggests an improvement in the detection of fetuses with AC<10th percentile, an improvement in the detection of prenatal onset microcephaly, with no argument for a decrease in the detection rate of severe constitutional bone disease or modification of obstetrical guidelines.
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Affiliation(s)
- Ferdinand Dhombres
- Sorbonne université, AP-HP, hôpital Trousseau, service de médecine fœtale, GRC26 et inserm LIMICS, Paris, France.
| | - Mona Massoud
- Université Claude-Bernard Lyon I, hospices civils de Lyon, service obstétrique et médecine fœtale, centre hospitalier Lyon Sud, Lyon, France
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Walkowiak M, Nowak JK, Jamka M, Gutaj P, Wender-Ożegowska E. Birth weight for gestational age: standard growth charts for the Polish population. JOURNAL OF MEDICAL SCIENCE 2022. [DOI: 10.20883/medical.e730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Introduction. Birth weight is one of the most important factors determining neonatal well-being. From an epidemiological viewpoint, a neonatal reference chart provides a picture of the health status of a population. Global customized growth charts seem to be the most practical in multicultural settings, allowing adjustment for ethnicity. However, regional charts might be a valuable contribution to reliable growth assessment. Our study aims to establish a reference tool for growth assessment and visualize the local potential, by creating standard charts based on the data from the tertiary center with the highest number of deliveries per year in Poland.
Material and Methods. We retrospectively analysed 31,353 records from the electronic database of singleton births from a five-year period from a tertiary hospital in Poznań, Poland. We excluded pre-term deliveries and high-risk pregnancies basing on well-known factors influencing fetal growth, bringing the number of records to 21,379. The data were processed separately by gender (females n=10,312, 48.2% and males n=11,067, 51.8%). Percentiles were calculated for each week of gestational age. Means and standard deviations were determined.
Results. Standard growth charts (including 3rd, 10th, 25th, 50th, 75th, 90th and 97th percentiles) are presented. Descriptive data of population distribution are shown.
Conclusions. In conclusion, obtaining standard growth charts for mature newborns has created the opportunity for a more actual and adequate assessment of the Polish neonatal population. It should allow for the implementation of new standards in future research on perinatal care.
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Kamphof HD, Gordijn SJ, Ganzevoort W, Verfaille V, Offerhaus PM, Franx A, Pajkrt E, de Jonge A, Henrichs J. Associations of severe adverse perinatal outcomes among continuous birth weight percentiles on different birth weight charts: a secondary analysis of a cluster randomized trial. BMC Pregnancy Childbirth 2022; 22:375. [PMID: 35490210 PMCID: PMC9055757 DOI: 10.1186/s12884-022-04680-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/05/2022] [Indexed: 12/17/2022] Open
Abstract
Objective To identify neonatal risk for severe adverse perinatal outcomes across birth weight centiles in two Dutch and one international birth weight chart. Background Growth restricted newborns have not reached their intrinsic growth potential in utero and are at risk of perinatal morbidity and mortality. There is no golden standard for the confirmation of the diagnosis of fetal growth restriction after birth. Estimated fetal weight and birth weight below the 10th percentile are generally used as proxy for growth restriction. The choice of birth weight chart influences the specific cut-off by which birth weight is defined as abnormal, thereby triggering clinical management. Ideally, this cut-off should discriminate appropriately between newborns at low and at high risk of severe adverse perinatal outcomes and consequently correctly inform clinical management. Methods This is a secondary analysis of the IUGR Risk Selection (IRIS) study. Newborns (n = 12 953) of women with a low-risk status at the start of pregnancy and that received primary antenatal care in the Netherlands were included. We examined the distribution of severe adverse perinatal outcomes across birth weight centiles for three birth weight charts (Visser, Hoftiezer and INTERGROWTH) by categorizing birth weight centile groups and comparing the prognostic performance for severe adverse perinatal outcomes. Severe adverse perinatal outcomes were defined as a composite of one or more of the following: perinatal death, Apgar score < 4 at 5 min, impaired consciousness, asphyxia, seizures, assisted ventilation, septicemia, meningitis, bronchopulmonary dysplasia, intraventricular hemorrhage, periventricular leukomalacia, or necrotizing enterocolitis. Results We found the highest rates of severe adverse perinatal outcomes among the smallest newborns (< 3rd percentile) (6.2% for the Visser reference curve, 8.6% for the Hoftiezer chart and 12.0% for the INTERGROWTH chart). Discriminative abilities of the three birth weight charts across the entire range of birth weight centiles were poor with areas under the curve ranging from 0.57 to 0.61. Sensitivity rates of the various cut-offs were also low. Conclusions The clinical utility of all three charts in identifying high risk of severe adverse perinatal outcomes is poor. There is no single cut-off that discriminates clearly between newborns at low or high risk. Trial Registration Netherlands Trial Register NTR4367. Registration date March 20th, 2014.
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Affiliation(s)
- Hester D Kamphof
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sanne J Gordijn
- Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Wessel Ganzevoort
- Department of Obstetrics, Amsterdam UMC, University of Amsterdam, Amsterdam Reproduction and Development Research Institute, Amsterdam, Netherlands
| | - Viki Verfaille
- Dutch Professional Association of Sonographers (BEN), Woerden, the Netherlands
| | - Pien M Offerhaus
- AVM (Midwifery Education and Studies Maastricht, ZUYD University of Applied Sciences), Maastricht, the Netherlands
| | - Arie Franx
- Department of Obstetrics and Gynecology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Eva Pajkrt
- Department of Obstetrics, Amsterdam UMC, University of Amsterdam, Amsterdam Reproduction and Development Research Institute, Amsterdam, Netherlands
| | - Ank de Jonge
- Department of Midwifery Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, AVAG/Amsterdam Public Health, Amsterdam, Netherlands
| | - Jens Henrichs
- Department of Midwifery Science, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, AVAG/Amsterdam Public Health, Amsterdam, Netherlands.
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Hocquette A, Zeitlin J, Heude B, Ego A, Charles MA, Monier I. World Health Organization fetal growth charts applied in a French birth cohort. J Gynecol Obstet Hum Reprod 2022; 51:102308. [PMID: 34998974 DOI: 10.1016/j.jogoh.2021.102308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 12/17/2021] [Accepted: 12/30/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To evaluate the applicability of World Health Organization (WHO) fetal growth charts for abdominal circumference (AC), femur length (FL) and estimated fetal weight (EFW) at the second and third trimester ultrasounds in a French birth cohort. MATERIALS AND METHODS Using the ELFE cohort of live births after 33 weeks' gestation in France in 2011, we selected 7747 singletons with fetal biometric measurements at the second (20-25 weeks) and third (30-35 weeks) trimester routine ultrasounds. We calculated proportions of fetuses <3rd and <10th percentiles and >90th and >97th percentiles for AC, FL and EFW using WHO charts and two international (Intergrowth and Hadlock) and two national (Salomon and CFEF) charts. Analyses were also carried out in a subsample of 4427 low-risk births. RESULTS WHO charts classified 2,3% and 8-10% of fetuses <3rd and <10th percentiles respectively, for AC and FL in the second and third trimesters and EFW in the third trimester. Similarly, about 3 and 10% of fetuses had AC, FL and EFW >97th and >90th percentile in both trimesters. Hadlock and CFEF charts also provided a good fit for third-trimester EFW <10th percentile. For most measures, Intergrowth yielded low proportions <3rd and <10th percentile, and high proportions >90th and >97th percentiles. Proportions were slightly lower for low-risk pregnancies. CONCLUSION WHO charts provided a good description of the distribution of French fetal biometric measures. Further research is needed to assess the impact of using WHO charts on obstetrical management and perinatal outcomes.
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Affiliation(s)
- Alice Hocquette
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAE, Université de Paris, 75004, Paris, France.
| | - Jennifer Zeitlin
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAE, Université de Paris, 75004, Paris, France
| | - Barbara Heude
- Research Team on the Early Life Origins of Health (EAROH), Centre for Research in Epidemiology and Statistics (CRESS), INSERM, Université de Paris, Villejuif F-94807, France
| | - Anne Ego
- CNRS, Public Health Department CHU Grenoble Alpes, Grenoble INP*, TIMC-IMAG, Univ. Grenoble Alpes, 38000, Grenoble, France; INSERM CIC U1406, Grenoble, France
| | | | - Isabelle Monier
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAE, Université de Paris, 75004, Paris, France; Departments of Obstetrics and Gynaecology, Antoine Béclère Hospital, AP-HP, Paris Saclay University, Clamart, France
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