1
|
Morris RK, Johnstone E, Lees C, Morton V, Smith G. Investigation and Care of a Small-for-Gestational-Age Fetus and a Growth Restricted Fetus (Green-top Guideline No. 31). BJOG 2024; 131:e31-e80. [PMID: 38740546 DOI: 10.1111/1471-0528.17814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Key recommendations
All women should be assessed at booking (by 14 weeks) for risk factors for fetal growth restriction (FGR) to identify those who require increased surveillance using an agreed pathway [Grade GPP]. Findings at the midtrimester anomaly scan should be incorporated into the fetal growth risk assessment and the risk assessment updated throughout pregnancy. [Grade GPP]
Reduce smoking in pregnancy by identifying women who smoke with the assistance of carbon monoxide (CO) testing and ensuring in‐house treatment from a trained tobacco dependence advisor is offered to all pregnant women who smoke, using an opt‐out referral process. [Grade GPP]
Women at risk of pre‐eclampsia and/or placental dysfunction should take aspirin 150 mg once daily at night from 12+0–36+0 weeks of pregnancy to reduce their chance of small‐for‐gestational‐age (SGA) and FGR. [Grade A]
Uterine artery Dopplers should be carried out between 18+0 and 23+6 weeks for women at high risk of fetal growth disorders [Grade B]. In a woman with normal uterine artery Doppler and normal fetal biometry at the midtrimester scan, serial ultrasound scans for fetal biometry can commence at 32 weeks. Women with an abnormal uterine artery Doppler (mean pulsatility index > 95th centile) should commence ultrasound scans at 24+0–28+6 weeks based on individual history. [Grade B]
Women who are at low risk of FGR should have serial measurement of symphysis fundal height (SFH) at each antenatal appointment after 24+0 weeks of pregnancy (no more frequently than every 2 weeks). The first measurement should be carried out by 28+6 weeks. [Grade C]
Women in the moderate risk category are at risk of late onset FGR so require serial ultrasound scan assessment of fetal growth commencing at 32+0 weeks. For the majority of women, a scan interval of four weeks until birth is appropriate. [Grade B]
Maternity providers should ensure that they clearly identify the reference charts to plot SFH, individual biometry and estimated fetal weight (EFW) measurements to calculate centiles. For individual biometry measurements the method used for measurement should be the same as those used in the development of the individual biometry and fetal growth chart [Grade GPP]. For EFW the Hadlock three parameter model should be used. [Grade C]
Maternity providers should ensure that they have guidance that promotes the use of standard planes of acquisition and calliper placement when performing ultrasound scanning for fetal growth assessment. Quality control of images and measurements should be undertaken. [Grade C]
Ultrasound biometry should be carried out every 2 weeks in fetuses identified to be SGA [Grade C]. Umbilical artery Doppler is the primary surveillance tool and should be carried out at the point of diagnosis of SGA and during follow‐up as a minimum every 2 weeks. [Grade B]
In fetuses with an EFW between the 3rd and 10th centile, other features must be present for birth to be recommended prior to 39+0 weeks, either maternal (maternal medical conditions or concerns regarding fetal movements) or fetal compromise (a diagnosis of FGR based on Doppler assessment, fetal growth velocity or a concern on cardiotocography [CTG]) [Grade C]. For fetuses with an EFW or abdominal circumference less than the 10th centile where FGR has been excluded, birth or the initiation of induction of labour should be considered at 39+0 weeks after discussion with the woman and her partner/family/support network. Birth should occur by 39+6 weeks. [Grade B]
Pregnancies with early FGR (prior to 32+0 weeks) should be monitored and managed with input from tertiary level units with the highest level neonatal care. Care should be multidisciplinary by neonatology and obstetricians with fetal medicine expertise, particularly when extremely preterm (before 28 weeks) [Grade GPP]. Fetal biometry in FGR should be repeated every 2 weeks [Grade B]. Assessment of fetal wellbeing can include multiple modalities but must include computerised CTG and/or ductus venous. [Grade B]
In pregnancies with late FGR, birth should be initiated from 37+0 weeks to be completed by 37+6 weeks [Grade A]. Decisions for birth should be based on fetal wellbeing assessments or maternal indication. [Grade GPP]
Collapse
|
2
|
Allotey J, Archer L, Coomar D, Snell KI, Smuk M, Oakey L, Haqnawaz S, Betrán AP, Chappell LC, Ganzevoort W, Gordijn S, Khalil A, Mol BW, Morris RK, Myers J, Papageorghiou AT, Thilaganathan B, Da Silva Costa F, Facchinetti F, Coomarasamy A, Ohkuchi A, Eskild A, Arenas Ramírez J, Galindo A, Herraiz I, Prefumo F, Saito S, Sletner L, Cecatti JG, Gabbay-Benziv R, Goffinet F, Baschat AA, Souza RT, Mone F, Farrar D, Heinonen S, Salvesen KÅ, Smits LJ, Bhattacharya S, Nagata C, Takeda S, van Gelder MM, Anggraini D, Yeo S, West J, Zamora J, Mistry H, Riley RD, Thangaratinam S. Development and validation of prediction models for fetal growth restriction and birthweight: an individual participant data meta-analysis. Health Technol Assess 2024; 28:1-119. [PMID: 39252507 PMCID: PMC11404361 DOI: 10.3310/dabw4814] [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] [Indexed: 09/11/2024] Open
Abstract
Background Fetal growth restriction is associated with perinatal morbidity and mortality. Early identification of women having at-risk fetuses can reduce perinatal adverse outcomes. Objectives To assess the predictive performance of existing models predicting fetal growth restriction and birthweight, and if needed, to develop and validate new multivariable models using individual participant data. Design Individual participant data meta-analyses of cohorts in International Prediction of Pregnancy Complications network, decision curve analysis and health economics analysis. Participants Pregnant women at booking. External validation of existing models (9 cohorts, 441,415 pregnancies); International Prediction of Pregnancy Complications model development and validation (4 cohorts, 237,228 pregnancies). Predictors Maternal clinical characteristics, biochemical and ultrasound markers. Primary outcomes fetal growth restriction defined as birthweight <10th centile adjusted for gestational age and with stillbirth, neonatal death or delivery before 32 weeks' gestation birthweight. Analysis First, we externally validated existing models using individual participant data meta-analysis. If needed, we developed and validated new International Prediction of Pregnancy Complications models using random-intercept regression models with backward elimination for variable selection and undertook internal-external cross-validation. We estimated the study-specific performance (c-statistic, calibration slope, calibration-in-the-large) for each model and pooled using random-effects meta-analysis. Heterogeneity was quantified using τ2 and 95% prediction intervals. We assessed the clinical utility of the fetal growth restriction model using decision curve analysis, and health economics analysis based on National Institute for Health and Care Excellence 2008 model. Results Of the 119 published models, one birthweight model (Poon) could be validated. None reported fetal growth restriction using our definition. Across all cohorts, the Poon model had good summary calibration slope of 0.93 (95% confidence interval 0.90 to 0.96) with slight overfitting, and underpredicted birthweight by 90.4 g on average (95% confidence interval 37.9 g to 142.9 g). The newly developed International Prediction of Pregnancy Complications-fetal growth restriction model included maternal age, height, parity, smoking status, ethnicity, and any history of hypertension, pre-eclampsia, previous stillbirth or small for gestational age baby and gestational age at delivery. This allowed predictions conditional on a range of assumed gestational ages at delivery. The pooled apparent c-statistic and calibration were 0.96 (95% confidence interval 0.51 to 1.0), and 0.95 (95% confidence interval 0.67 to 1.23), respectively. The model showed positive net benefit for predicted probability thresholds between 1% and 90%. In addition to the predictors in the International Prediction of Pregnancy Complications-fetal growth restriction model, the International Prediction of Pregnancy Complications-birthweight model included maternal weight, history of diabetes and mode of conception. Average calibration slope across cohorts in the internal-external cross-validation was 1.00 (95% confidence interval 0.78 to 1.23) with no evidence of overfitting. Birthweight was underestimated by 9.7 g on average (95% confidence interval -154.3 g to 173.8 g). Limitations We could not externally validate most of the published models due to variations in the definitions of outcomes. Internal-external cross-validation of our International Prediction of Pregnancy Complications-fetal growth restriction model was limited by the paucity of events in the included cohorts. The economic evaluation using the published National Institute for Health and Care Excellence 2008 model may not reflect current practice, and full economic evaluation was not possible due to paucity of data. Future work International Prediction of Pregnancy Complications models' performance needs to be assessed in routine practice, and their impact on decision-making and clinical outcomes needs evaluation. Conclusion The International Prediction of Pregnancy Complications-fetal growth restriction and International Prediction of Pregnancy Complications-birthweight models accurately predict fetal growth restriction and birthweight for various assumed gestational ages at delivery. These can be used to stratify the risk status at booking, plan monitoring and management. Study registration This study is registered as PROSPERO CRD42019135045. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/148/07) and is published in full in Health Technology Assessment; Vol. 28, No. 14. See the NIHR Funding and Awards website for further award information.
Collapse
Affiliation(s)
- John Allotey
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Lucinda Archer
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Dyuti Coomar
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Kym Ie Snell
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Melanie Smuk
- Blizard Institute, Centre for Genomics and Child Health, Queen Mary University of London, London, UK
| | - Lucy Oakey
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Sadia Haqnawaz
- The Hildas, Dame Hilda Lloyd Network, WHO Collaborating Centre for Global Women's Health, University of Birmingham, Birmingham, UK
| | - Ana Pilar Betrán
- Department of Reproductive and Health Research, World Health Organization, Geneva, Switzerland
| | - Lucy C Chappell
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Wessel Ganzevoort
- Department of Obstetrics, Amsterdam UMC University of Amsterdam, Amsterdam, the Netherlands
| | - Sanne Gordijn
- Faculty of Medical Sciences, University Medical Center Groningen, Groningen, the Netherlands
| | - Asma Khalil
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust and Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Ben W Mol
- Department of Obstetrics and Gynaecology, Monash University, Monash Medical Centre, Clayton, Victoria, Australia
- Aberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Rachel K Morris
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Jenny Myers
- Maternal and Fetal Health Research Centre, Manchester Academic Health Science Centre, University of Manchester, Central Manchester NHS Trust, Manchester, UK
| | - Aris T Papageorghiou
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust and Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
| | - Basky Thilaganathan
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust and Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
- Tommy's National Centre for Maternity Improvement, Royal College of Obstetrics and Gynaecology, London, UK
| | - Fabricio Da Silva Costa
- Maternal Fetal Medicine Unit, Gold Coast University Hospital and School of Medicine, Griffith University, Gold Coast, Queensland, Australia
| | - Fabio Facchinetti
- Mother-Infant Department, University of Modena and Reggio Emilia, Emilia-Romagna, Italy
| | - Arri Coomarasamy
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Akihide Ohkuchi
- Department of Obstetrics and Gynecology, Jichi Medical University School of Medicine, Shimotsuke-shi, Tochigi, Japan
| | - Anne Eskild
- Akershus University Hospital, University of Oslo, Oslo, Norway
| | | | - Alberto Galindo
- Fetal Medicine Unit, Maternal and Child Health and Development Network (SAMID), Department of Obstetrics and Gynaecology, Hospital Universitario, Instituto de Investigación Hospital, Universidad Complutense de Madrid, Madrid, Spain
| | - Ignacio Herraiz
- Department of Obstetrics and Gynaecology, Hospital Universitario, Madrid, Spain
| | - Federico Prefumo
- Department of Clinical and Experimental Sciences, University of Brescia, Italy
| | - Shigeru Saito
- Department Obstetrics and Gynecology, University of Toyama, Toyama, Japan
| | - Line Sletner
- Deptartment of Pediatric and Adolescents Medicine, Akershus University Hospital, Sykehusveien, Norway
| | - Jose Guilherme Cecatti
- Obstetric Unit, Department of Obstetrics and Gynecology, University of Campinas, Campinas, Sao Paulo, Brazil
| | - Rinat Gabbay-Benziv
- Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, Hillel Yaffe Medical Center Hadera, Affiliated to the Ruth and Bruce Rappaport School of Medicine, Technion, Haifa, Israel
| | - Francois Goffinet
- Maternité Port-Royal, AP-HP, APHP, Centre-Université de Paris, FHU PREMA, Paris, France
- Université de Paris, INSERM U1153, Equipe de recherche en Epidémiologie Obstétricale, Périnatale et Pédiatrique (EPOPé), Centre de Recherche Epidémiologie et Biostatistique Sorbonne Paris Cité (CRESS), Paris, France
| | - Ahmet A Baschat
- Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, MD, USA
| | - Renato T Souza
- Obstetric Unit, Department of Obstetrics and Gynecology, University of Campinas, Campinas, Sao Paulo, Brazil
| | - Fionnuala Mone
- Centre for Public Health, Queen's University, Belfast, UK
| | - Diane Farrar
- Bradford Institute for Health Research, Bradford, UK
| | - Seppo Heinonen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kjell Å Salvesen
- Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Luc Jm Smits
- Care and Public Health Research Institute, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Sohinee Bhattacharya
- Aberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Chie Nagata
- Center for Postgraduate Education and Training, National Center for Child Health and Development, Tokyo, Japan
| | - Satoru Takeda
- Department of Obstetrics and Gynecology, Juntendo University, Tokyo, Japan
| | - Marleen Mhj van Gelder
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Dewi Anggraini
- Faculty of Mathematics and Natural Sciences, Lambung Mangkurat University, South Kalimantan, Indonesia
| | - SeonAe Yeo
- University of North Carolina at Chapel Hill, School of Nursing, NC, USA
| | - Jane West
- Bradford Institute for Health Research, Bradford, UK
| | - Javier Zamora
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal (IRYCIS), Madrid, Spain
| | - Hema Mistry
- Warwick Medical School, University of Warwick, Warwick, UK
| | - Richard D Riley
- Centre for Prognosis Research, School of Medicine, Keele University, Keele, UK
| | - Shakila Thangaratinam
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| |
Collapse
|
3
|
Wilcox AJ, Snowden JM, Ferguson K, Hutcheon J, Basso O. On the study of fetal growth restriction: time to abandon SGA. Eur J Epidemiol 2024; 39:233-239. [PMID: 38429604 DOI: 10.1007/s10654-024-01098-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/07/2024] [Indexed: 03/03/2024]
Affiliation(s)
- Allen J Wilcox
- Epidemiology Branch, National Institute of Environmental Health Sciences, PO Box 12233, Durham, NC, 27709, USA.
- Centre for Fertility and Health, Oslo, Norway.
| | - Jonathan M Snowden
- School of Public Health, Oregon Health & Science University - Portland State University, Portland, OR, USA
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA
| | - Kelly Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, PO Box 12233, Durham, NC, 27709, USA
| | - Jennifer Hutcheon
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada
| | - Olga Basso
- Department of Obstetrics and Gynecology, McGill University, Montreal, QC, Canada
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, 27701, Canada
| |
Collapse
|
4
|
Boerner KE, Keogh E, Inkster AM, Nahman-Averbuch H, Oberlander TF. A developmental framework for understanding the influence of sex and gender on health: Pediatric pain as an exemplar. Neurosci Biobehav Rev 2024; 158:105546. [PMID: 38272336 DOI: 10.1016/j.neubiorev.2024.105546] [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: 12/12/2022] [Revised: 07/07/2023] [Accepted: 11/06/2023] [Indexed: 01/27/2024]
Abstract
Sex differences are a robust finding in many areas of adult health, including cardiovascular disease, psychiatric disorders, and chronic pain. However, many sex differences are not consistently observed until after the onset of puberty. This has led to the hypothesis that hormones are primary contributors to sex differences in health outcomes, largely ignoring the relative contributions of early developmental influences, emerging psychosocial factors, gender, and the interaction between these variables. In this paper, we argue that a comprehensive understanding of sex and gender contributions to health outcomes should start as early as conception and take an iterative biopsychosocial-developmental perspective that considers intersecting social positions. We present a conceptual framework, informed by a review of the literature in basic, clinical, and social science that captures how critical developmental stages for both sex and gender can affect children's health and longer-term outcomes. The literature on pediatric chronic pain is used as a worked example of how the framework can be applied to understanding different chronic conditions.
Collapse
Affiliation(s)
- Katelynn E Boerner
- Department of Pediatrics, University of British Columbia, and BC Children's Hospital Research Institute, Vancouver, BC, Canada.
| | - Edmund Keogh
- Department of Psychology & Centre for Pain Research, University of Bath, Bath, United Kingdom
| | - Amy M Inkster
- Department of Medical Genetics, University of British Columbia, and BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Hadas Nahman-Averbuch
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Tim F Oberlander
- Department of Pediatrics, University of British Columbia, and BC Children's Hospital Research Institute, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, and BC Children's Hospital Research Institute, Vancouver, BC, Canada
| |
Collapse
|
5
|
Gardosi J, Hugh O. Stillbirth risk and smallness for gestational age according to Hadlock, INTERGROWTH-21st, WHO, and GROW fetal weight standards: analysis by maternal ethnicity and body mass index. Am J Obstet Gynecol 2023; 229:547.e1-547.e13. [PMID: 37247647 DOI: 10.1016/j.ajog.2023.05.026] [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: 04/17/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 05/31/2023]
Abstract
BACKGROUND Appropriate growth charts are essential for fetal surveillance, to confirm that growth is proceeding normally and to identify pregnancies that are at risk. Many stillbirths are avoidable through antenatal detection of the small-for-gestational-age fetus. In the absence of an international consensus on which growth chart to use, it is essential that clinical practice reflects outcome-based evidence. OBJECTIVE This study investigated the performance of 4 internationally used fetal weight standards and their ability to identify stillbirth risk in different ethnic and maternal size groups of a heterogeneous population. STUDY DESIGN We analyzed routinely collected maternity data from more than 2.2 million pregnancies. Three population-based fetal weight standards (Hadlock, Intergrowth-21st, and World Health Organization) were compared with the customized GROW standard that was adjusted for maternal height, weight, parity, and ethnic origin. Small-for-gestational-age birthweight and stillbirth risk were determined for the 2 largest ethnic groups in our population (British European and South Asian), in 5 body mass index categories, and in 4 maternal size groups with normal body mass index (18.5-25.0 kg/m2). The differences in trend between stillbirth and small-for-gestational-age rates were assessed using the Clogg z test, and differences between stillbirths and body mass index groups were assessed using the chi-square trend test. RESULTS Stillbirth rates (per 1000) were higher in South Asian pregnancies (5.51) than British-European pregnancies (3.89) (P<.01) and increased in both groups with increasing body mass index (P<.01). Small-for-gestational-age rates were 2 to 3-fold higher for South Asian babies than British European babies according to the population-average standards (Hadlock: 26.2% vs 12.2%; Intergrowth-21st: 12.1% vs 4.9%; World Health Organization: 32.2% vs 16.0%) but were similar by the customized GROW standard (14.0% vs 13.6%). Despite the wide variation, each standard's small-for-gestation-age cases had increased stillbirth risk compared with non-small-for-gestation-age cases, with the magnitude of risk inversely proportional to the rate of cases defined as small for gestational age. All standards had similar stillbirth risk when the small-for-gestation-age rate was fixed at 10% by varying their respective thresholds for defining small for gestational age. When analyzed across body mass index subgroups, the small-for-gestation-age rate according to the GROW standard increased with increasing stillbirth rate, whereas small-for-gestation-age rates according to Hadlock, Intergrowth-21st, and World Health Organization fetal weight standards declined with increasing body mass index, showing a difference in trend (P<.01) to stillbirth rates across body mass index groups. In the normal body mass index subgroup, stillbirth rates showed little variation across maternal size groups; this trend was followed by GROW-based small-for-gestation-age rates, whereas small-for-gestation-age rates defined by each population-average standard declined with increasing maternal size. CONCLUSION Comparisons between population-average and customized fetal growth charts require examination of how well each standard identifies pregnancies at risk of adverse outcomes within subgroups of any heterogeneous population. In both ethnic groups studied, increasing maternal body mass index was accompanied by increasing stillbirth risk, and this trend was reflected in more pregnancies being identified as small for gestational age only by the customized standard. In contrast, small-for-gestation-age rates fell according to each population-average standard, thereby hiding the increased stillbirth risk associated with high maternal body mass index.
Collapse
Affiliation(s)
| | - Oliver Hugh
- Perinatal Institute, Birmingham, United Kingdom
| |
Collapse
|
6
|
Hansen DN, Kahr HS, Torp-Pedersen C, Feifel J, Uldbjerg N, Sinding M, Sørensen A. The Danish newborn standard and the International Fetal and Newborn Growth Consortium for the 21st Century newborn standard: a nationwide register-based cohort study. Am J Obstet Gynecol 2023; 229:290.e1-290.e8. [PMID: 36907534 DOI: 10.1016/j.ajog.2023.02.030] [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: 11/15/2022] [Revised: 02/16/2023] [Accepted: 02/25/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND It is a matter of debate whether 1 universal standard, such as the International Fetal and Newborn Growth Consortium for the 21st Century standard, can be applied to all populations. OBJECTIVE The primary objective was to establish a Danish newborn standard based on the criteria of the International Fetal and Newborn Growth Consortium for the 21st Century standard to compare the percentiles of these 2 standards. A secondary objective was to compare the prevalence and risk of fetal and neonatal deaths related to small for gestational age defined by the 2 standards when used in the Danish reference population. STUDY DESIGN This was a register-based nationwide cohort study. The Danish reference population included 375,318 singletons born at 33 to 42 weeks of gestation in Denmark between January 1, 2008, and December 31, 2015. The Danish standard cohort included 37,811 newborns who fulfilled the criteria of the International Fetal and Newborn Growth Consortium for the 21st Century standard. Birthweight percentiles were estimated using smoothed quantiles for each gestational week. The outcomes included birthweight percentiles, small for gestational age (defined as a birthweight of 3rd percentile), and adverse outcomes (defined as either fetal or neonatal death). RESULTS At all gestational ages, the Danish standard median birthweights at term were higher than the International Fetal and Newborn Growth Consortium for the 21st Century standard median birthweights: 295g for females and 320 g for males. Therefore, the estimates of the prevalence rate of small for gestational age within the entire population were different: 3.9% (n=14,698) using the Danish standard vs 0.7% (n=2640) using the International Fetal and Newborn Growth Consortium for the 21st Century standard. Accordingly, the relative risk of fetal and neonatal deaths among small-for-gestational-age fetuses differed by SGA status defined by the different standards (4.4 [Danish standard] vs 9.6 [International Fetal and Newborn Growth Consortium for the 21st Century standard]). CONCLUSION Our finding did not support the hypothesis that 1 universal standard birthweight curve can be applied to all populations.
Collapse
Affiliation(s)
- Ditte N Hansen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Department of Obstetrics and Gynecology, Aalborg University Hospital, Aalborg, Denmark.
| | - Henriette S Kahr
- Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark
| | - Christian Torp-Pedersen
- Department of Cardiology, Nordsjællands Hospital, Hillerød, Denmark; Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark; Department of Public Health, Copenhagen University, Copenhagen, Denmark
| | - Jan Feifel
- Institute of Statistics, Ulm University, Ulm, Germany
| | - Niels Uldbjerg
- Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Marianne Sinding
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Department of Obstetrics and Gynecology, Aalborg University Hospital, Aalborg, Denmark
| | - Anne Sørensen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Department of Obstetrics and Gynecology, Aalborg University Hospital, Aalborg, Denmark
| |
Collapse
|
7
|
Kilpi F, Jones HE, Magnus MC, Santorelli G, Højsgaard Schmidt LK, Urhoj SK, Nelson SM, Tuffnell D, French R, Magnus PM, Nybo Andersen AM, Martikainen P, Tilling K, Lawlor DA. Association between perinatal mortality and morbidity and customised and non-customised birthweight centiles in Denmark, Finland, Norway, Wales, and England: comparative, population based, record linkage study. BMJ MEDICINE 2023; 2:e000521. [PMID: 37663045 PMCID: PMC10471867 DOI: 10.1136/bmjmed-2023-000521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/17/2023] [Indexed: 09/05/2023]
Abstract
Objectives To compare the risk of adverse perinatal outcomes according to infants who are born small for gestational age (SGA; <10th centile) or large for gestational age (LGA; >90th centile), as defined by birthweight centiles that are non-customised (ie, standardised by sex and gestational age only) and customised (by sex, gestational age, maternal weight, height, parity, and ethnic group). Design Comparative, population based, record linkage study with meta-analysis of results. Setting Denmark, Finland, Norway, Wales, and England (city of Bradford), 1986-2019. Participants 2 129 782 infants born at term in birth registries. Main outcome measures Stillbirth, neonatal death, infant death, admission to neonatal intensive care unit, and low Apgar score (<7) at 5 minutes. Results Relative to those infants born average for gestational age (AGA), both SGA and LGA births were at increased risk of all five outcomes, but observed relative risks were similar irrespective of whether non-customised or customised charts were used. For example, for SGA versus AGA births, when non-customised and customised charts were used, relative risks pooled over countries were 3.60 (95% confidence interval 3.29 to 3.93) versus 3.58 (3.02 to 4.24) for stillbirth, 2.83 (2.18 to 3.67) versus 3.32 (2.05 to 5.36) for neonatal death, 2.82 (2.07 to 3.83) versus 3.17 (2.20 to 4.56) for infant death, 1.66 (1.49 to 1.86) versus 1.54 (1.30 to 1.81) for low Apgar score at 5 minutes, and (based on Bradford data only) 1.97 (1.74 to 2.22) versus 1.94 (1.70 to 2.21) for admission to the neonatal intensive care unit. The estimated sensitivity of combined SGA or LGA births to identify the three mortality outcomes ranged from 31% to 34% for non-customised charts and from 34% to 38% for customised charts, with a specificity of 82% and 80% with non-customised and customised charts, respectively. Conclusions These results suggest an increased risk of adverse perinatal outcomes of a similar magnitude among SGA or LGA term infants when customised and non-customised centiles are used. Use of customised charts for SGA/LGA births-over and above use of non-customised charts for SGA/LGA births-is unlikely to provide benefits in terms of identifying term births at risk of these outcomes.
Collapse
Affiliation(s)
- Fanny Kilpi
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hayley E Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Maria Christine Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | | | | | - Stine Kjaer Urhoj
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Scott M Nelson
- School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | | | | | - Per Minor Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Pekka Martikainen
- Population Research Unit, University of Helsinki Faculty of Social Sciences, Helsinki, Uusimaa, Finland
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Kate Tilling
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| |
Collapse
|
8
|
Wan A, Zampogna C, Reddy M, Robinson A, Hodges R, Rolnik DL. Performance of a risk factor-based approach in the detection of small for gestational age neonates: A cohort study. Aust N Z J Obstet Gynaecol 2022. [PMID: 36184072 DOI: 10.1111/ajo.13620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/12/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Antenatal detection of fetal growth restriction allows the opportunity to increase surveillance and initiate intervention to prevent adverse outcomes. Detection of small for gestational age (SGA) fetuses with risk factor screening and selective ultrasonography is the standard of care in Australia, but evidence regarding performance is lacking. AIMS To evaluate the diagnostic performance of a risk factor-based screening approach in detection of SGA neonates. MATERIALS AND METHODS Retrospective cohort study conducted in a metropolitan maternity service, including all consecutive singleton deliveries over 20 weeks gestation from July 2016 to December 2017, and excluding terminations of pregnancy. An SGA neonate was defined by birthweight below the tenth percentile according to Australian reference ranges. Antenatally detected SGA cases were defined by estimated fetal weight or abdominal circumference below the tenth percentile for gestational age, or abnormal symphysio-fundal height. The diagnostic accuracy of the screening protocol was calculated using detection rates and false-positive rates. RESULTS There were 13 384 singleton pregnancies included. There were 1330 infants (10.0%) who were SGA at birth. Antenatal detection rate of SGA neonates was 39.6% (95% confidence interval (CI) 37.0-42.3%), with a false-positive rate of 10.2% (95% CI 9.6-10.7%). There were 10 266 pregnancies (77.0%) which had at least one risk factor for an SGA infant. Of these, 6650 (64.8%) underwent at least one fetal growth ultrasound after 24 weeks gestation. CONCLUSIONS Antenatal recognition of poor fetal growth is suboptimal using our current screening protocol. Three-quarters of pregnancies demonstrated risk factors for delivering an SGA infant, but growth ultrasonography may be underutilised.
Collapse
Affiliation(s)
- Anna Wan
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia
| | - Christopher Zampogna
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia
| | - Maya Reddy
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Monash Women's, Monash Health, Melbourne, Victoria, Australia
| | - Alice Robinson
- Monash Women's, Monash Health, Melbourne, Victoria, Australia
| | - Ryan Hodges
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Monash Women's, Monash Health, Melbourne, Victoria, Australia
| | - Daniel Lorber Rolnik
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Monash Women's, Monash Health, Melbourne, Victoria, Australia
| |
Collapse
|
9
|
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.
Collapse
|
10
|
King VJ, Bennet L, Stone PR, Clark A, Gunn AJ, Dhillon SK. Fetal growth restriction and stillbirth: Biomarkers for identifying at risk fetuses. Front Physiol 2022; 13:959750. [PMID: 36060697 PMCID: PMC9437293 DOI: 10.3389/fphys.2022.959750] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Fetal growth restriction (FGR) is a major cause of stillbirth, prematurity and impaired neurodevelopment. Its etiology is multifactorial, but many cases are related to impaired placental development and dysfunction, with reduced nutrient and oxygen supply. The fetus has a remarkable ability to respond to hypoxic challenges and mounts protective adaptations to match growth to reduced nutrient availability. However, with progressive placental dysfunction, chronic hypoxia may progress to a level where fetus can no longer adapt, or there may be superimposed acute hypoxic events. Improving detection and effective monitoring of progression is critical for the management of complicated pregnancies to balance the risk of worsening fetal oxygen deprivation in utero, against the consequences of iatrogenic preterm birth. Current surveillance modalities include frequent fetal Doppler ultrasound, and fetal heart rate monitoring. However, nearly half of FGR cases are not detected in utero, and conventional surveillance does not prevent a high proportion of stillbirths. We review diagnostic challenges and limitations in current screening and monitoring practices and discuss potential ways to better identify FGR, and, critically, to identify the “tipping point” when a chronically hypoxic fetus is at risk of progressive acidosis and stillbirth.
Collapse
Affiliation(s)
- Victoria J. King
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
| | - Laura Bennet
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
| | - Peter R. Stone
- Department of Obstetrics and Gynaecology, The University of Auckland, Auckland, New Zealand
| | - Alys Clark
- Department of Obstetrics and Gynaecology, The University of Auckland, Auckland, New Zealand
- Auckland Biomedical Engineering Institute, The University of Auckland, Auckland, New Zealand
| | - Alistair J. Gunn
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
| | - Simerdeep K. Dhillon
- Fetal Physiology and Neuroscience Group, Department of Physiology, The University of Auckland, Auckland, New Zealand
- *Correspondence: Simerdeep K. Dhillon,
| |
Collapse
|
11
|
Vieira MC, Relph S, Muruet-Gutierrez W, Elstad M, Coker B, Moitt N, Delaney L, Winsloe C, Healey A, Coxon K, Alagna A, Briley A, Johnson M, Page LM, Peebles D, Shennan A, Thilaganathan B, Marlow N, McCowan L, Lees C, Lawlor DA, Khalil A, Sandall J, Copas A, Pasupathy D. Evaluation of the Growth Assessment Protocol (GAP) for antenatal detection of small for gestational age: The DESiGN cluster randomised trial. PLoS Med 2022; 19:e1004004. [PMID: 35727800 PMCID: PMC9212153 DOI: 10.1371/journal.pmed.1004004] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 04/29/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Antenatal detection and management of small for gestational age (SGA) is a strategy to reduce stillbirth. Large observational studies provide conflicting results on the effect of the Growth Assessment Protocol (GAP) in relation to detection of SGA and reduction of stillbirth; to the best of our knowledge, there are no reported randomised control trials. Our aim was to determine if GAP improves antenatal detection of SGA compared to standard care. METHODS AND FINDINGS This was a pragmatic, superiority, 2-arm, parallel group, open, cluster randomised control trial. Maternity units in England were eligible to participate in the study, except if they had already implemented GAP. All women who gave birth in participating clusters (maternity units) during the year prior to randomisation and during the trial (November 2016 to February 2019) were included. Multiple pregnancies, fetal abnormalities or births before 24+1 weeks were excluded. Clusters were randomised to immediate implementation of GAP, an antenatal care package aimed at improving detection of SGA as a means to reduce the rate of stillbirth, or to standard care. Randomisation by random permutation was stratified by time of study inclusion and cluster size. Data were obtained from hospital electronic records for 12 months prerandomisation, the washout period (interval between randomisation and data collection of outcomes), and the outcome period (last 6 months of the study). The primary outcome was ultrasound detection of SGA (estimated fetal weight <10th centile using customised centiles (intervention) or Hadlock centiles (standard care)) confirmed at birth (birthweight <10th centile by both customised and population centiles). Secondary outcomes were maternal and neonatal outcomes, including induction of labour, gestational age at delivery, mode of birth, neonatal morbidity, and stillbirth/perinatal mortality. A 2-stage cluster-summary statistical approach calculated the absolute difference (intervention minus standard care arm) adjusted using the prerandomisation estimate, maternal age, ethnicity, parity, and randomisation strata. Intervention arm clusters that made no attempt to implement GAP were excluded in modified intention to treat (mITT) analysis; full ITT was also reported. Process evaluation assessed implementation fidelity, reach, dose, acceptability, and feasibility. Seven clusters were randomised to GAP and 6 to standard care. Following exclusions, there were 11,096 births exposed to the intervention (5 clusters) and 13,810 exposed to standard care (6 clusters) during the outcome period (mITT analysis). Age, height, and weight were broadly similar between arms, but there were fewer women: of white ethnicity (56.2% versus 62.7%), and in the least deprived quintile of the Index of Multiple Deprivation (7.5% versus 16.5%) in the intervention arm during the outcome period. Antenatal detection of SGA was 25.9% in the intervention and 27.7% in the standard care arm (adjusted difference 2.2%, 95% confidence interval (CI) -6.4% to 10.7%; p = 0.62). Findings were consistent in full ITT analysis. Fidelity and dose of GAP implementation were variable, while a high proportion (88.7%) of women were reached. Use of routinely collected data is both a strength (cost-efficient) and a limitation (occurrence of missing data); the modest number of clusters limits our ability to study small effect sizes. CONCLUSIONS In this study, we observed no effect of GAP on antenatal detection of SGA compared to standard care. Given variable implementation observed, future studies should incorporate standardised implementation outcomes such as those reported here to determine generalisability of our findings. TRIAL REGISTRATION This trial is registered with the ISRCTN registry, ISRCTN67698474.
Collapse
Affiliation(s)
- Matias C. Vieira
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
- Department of Obstetrics and Gynaecology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Sophie Relph
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
| | - Walter Muruet-Gutierrez
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
| | - Maria Elstad
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
| | - Bolaji Coker
- School of Population Health and Environmental Sciences, King’s College London, London, United Kingdom
- NIHR Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, United Kingdom
| | - Natalie Moitt
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
| | - Louisa Delaney
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
| | - Chivon Winsloe
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
- Centre for Pragmatic Global Health Trials, University College London, London, United Kingdom
| | - Andrew Healey
- Centre for Implementation Science and King’s Health Economics, King’s College London, London, United Kingdom
| | - Kirstie Coxon
- Faculty of Health, Social Care and Education, Kingston University and St. George’s, University of London, London, United Kingdom
| | - Alessandro Alagna
- London Perinatal Morbidity and Mortality Working Group (NHS), London, United Kingdom
| | - Annette Briley
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
- Caring Futures Institute Flinders University and North Adelaide Local Health Network, Adelaide, Australia
| | - Mark Johnson
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Louise M. Page
- West Middlesex University Hospital, Chelsea & Westminster Hospital NHS Foundation Trust, Isleworth, United Kingdom
| | - Donald Peebles
- UCL Institute for Women’s Health, University College London, London, United Kingdom
| | - Andrew Shennan
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
| | - Baskaran Thilaganathan
- Fetal Medicine Unit, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom
- Molecular & Clinical Sciences Research Institute, St George’s, University of London, London, United Kingdom
| | - Neil Marlow
- UCL Institute for Women’s Health, University College London, London, United Kingdom
| | - Lesley McCowan
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Christoph Lees
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Deborah A. Lawlor
- Bristol NIHR Biomedical Research Centre, Bristol, United Kingdom
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Science, University of Bristol, Bristol, United Kingdom
| | - Asma Khalil
- Fetal Medicine Unit, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom
- Molecular & Clinical Sciences Research Institute, St George’s, University of London, London, United Kingdom
| | - Jane Sandall
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
| | - Andrew Copas
- Centre for Pragmatic Global Health Trials, University College London, London, United Kingdom
| | - Dharmintra Pasupathy
- Department of Women and Children’s Health, King’s College London, London, United Kingdom
- Reproduction and Perinatal Centre, University of Sydney, Sydney, Australia
- * E-mail:
| | | |
Collapse
|
12
|
Kofman R, Farkash R, Rottenstreich M, Samueloff A, Wasserteil N, Kasirer Y, Grisaru Granovsky S. Parity-Adjusted Term Neonatal Growth Chart Modifies Neonatal Morbidity and Mortality Risk Stratification. J Clin Med 2022; 11:jcm11113097. [PMID: 35683486 PMCID: PMC9181536 DOI: 10.3390/jcm11113097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/08/2022] [Accepted: 05/26/2022] [Indexed: 12/10/2022] Open
Abstract
Objective: To investigate the impact of parity-customized versus population-based birth weight charts on the identification of neonatal risk for adverse outcomes in small (SGA) or large for gestational age (LGA) infants compared to appropriate for gestational age (AGA) infants. Study design: Observational, retrospective, cohort study based on electronic medical birth records at a single center between 2006 and 2017. Neonates were categorized by birth weight (BW) as SGA, LGA, or AGA, with the 10th and 90th centiles as boundaries for AGA in a standard population-based model adjusted for gestational age and gender only (POP) and a customized model adjusted for gestational age, gender, and parity (CUST). Neonates defined as SGA or LGA by one standard and not overlapping the other, are SGA/LGA CUST/POP ONLY. Analyses used a reference group of BW between the 25th and 75th centile for the population. Results: Overall 132,815 singleton, live, term neonates born to mothers with uncomplicated pregnancies were included. The customized model identified 53% more neonates as SGA-CUST ONLY who had significantly higher rates of morbidity and mortality compared to the reference group (OR = 1.33 95% CI [1.16−1.53]; p < 0.0001). Neonates defined as LGA by the customized model (LGA-CUST) and AGA by the population-based model LGA-CUST ONLY had a significantly higher risk for morbidity compared to the reference (OR = 1.36 95% CI [1.09−1.71]; p = 0.007) or the LGA POP group. Neonatal mortality only occurred in the SGA and AGA groups. Conclusions: The application of a parity-customized only birth weight chart in a population of singleton, term neonates is a simple platform to better identify birth weight related neonatal risk for morbidity and mortality.
Collapse
Affiliation(s)
- Roie Kofman
- Department of Internal Medicine, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, POB 12000, Jerusalem 91120, Israel;
| | - Rivka Farkash
- Department of Obstetrics & Gynecology, Shaare Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (R.F.); (A.S.); (S.G.G.)
| | - Misgav Rottenstreich
- Department of Obstetrics & Gynecology, Shaare Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (R.F.); (A.S.); (S.G.G.)
- Correspondence: ; Tel.: +972-2-655-5562; Fax: +972-2-666-6053
| | - Arnon Samueloff
- Department of Obstetrics & Gynecology, Shaare Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (R.F.); (A.S.); (S.G.G.)
| | - Netanel Wasserteil
- Department of Pediatrics, Shaare Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (N.W.); (Y.K.)
| | - Yair Kasirer
- Department of Pediatrics, Shaare Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (N.W.); (Y.K.)
| | - Sorina Grisaru Granovsky
- Department of Obstetrics & Gynecology, Shaare Zedek Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; (R.F.); (A.S.); (S.G.G.)
| |
Collapse
|
13
|
Blue NR, Mele L, Grobman WA, Bailit JL, Wapner RJ, Thorp JM, Caritis SN, Prasad M, Tita ATN, Saade GR, Rouse DJ, Blackwell SC. Predictive performance of newborn small for gestational age by a United States intrauterine vs birthweight-derived standard for short-term neonatal morbidity and mortality. Am J Obstet Gynecol MFM 2022; 4:100599. [PMID: 35183799 PMCID: PMC9097811 DOI: 10.1016/j.ajogmf.2022.100599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 02/15/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND The use of birthweight standards to define small for gestational age may fail to identify neonates affected by poor fetal growth as they include births associated with suboptimal fetal growth. OBJECTIVE This study aimed to compare intrauterine vs birthweight-derived standards to define newborn small for gestational age to predict neonatal morbidity and mortality. STUDY DESIGN This was a secondary analysis of a multicenter observational study of 118,422 births. Live-born singleton, nonanomalous newborns born at 23 to 41 weeks of gestation were included. Those with missing gestational age estimation or without a first- or second-trimester ultrasound to confirm dating, birthweight, or neonatal outcome data were excluded. Birthweight percentile was computed using an intrauterine standard (Hadlock) and a birthweight-derived standard (Olsen). We compared the test characteristics of small for gestational age (birthweight of <10th percentile) by each standard to predict a composite neonatal morbidity and mortality outcome (death before discharge, neonatal intensive care unit admission >48 hours, respiratory distress syndrome, sepsis, necrotizing enterocolitis, grade 3 or 4 intraventricular hemorrhage, or seizures). Severe composite morbidity was analyzed as a secondary outcome and was defined as death, neonatal intensive care unit admission >7 days, necrotizing enterocolitis, grade 3 or 4 intraventricular hemorrhage, or seizures. The areas under the curve using receiver-operating characteristic methodology and proportions of the primary outcome by small for gestational age status were compared by gestational age category at birth (<34, 34 0/7 to 36 6/7, ≥37 weeks). RESULTS Of 115,502 mother-newborn dyads in the parent study, 78,203 (67.7%) were included, with most exclusions occurring because of missing or inadequate dating information, multiple gestations, or delivery outside the gestational age range. The primary composite outcome occurred in 9.5% (95% confidence interval, 9.3-9.7), and the severe composite outcome occurred in 5.3% (95% confidence interval, 5.1-5.4). Small for gestational age was diagnosed by intrauterine and birthweight-derived standards in 14.8% and 7.4%, respectively (P<.001). Neonates considered small for gestational age only by the intrauterine standard experienced the primary outcome more than twice as often as those considered non-small for gestational age by both standards (18.4% vs 7.9%; P<.001). For the prediction of the primary outcome, small for gestational age by the intrauterine standard had higher sensitivity (29% vs 15%; P<.001) but lower specificity (87% vs 93%; P<.001) than by the birthweight standard. Both standards had weak performance overall, although the intrauterine standard had a higher area under the curve (0.58 vs 0.53; P<.001). When subanalyzed by gestational age at birth, the difference in areas under the curve was only present among preterm deliveries 34 to 36 competed weeks. Neither standard demonstrated any discrimination for morbidity prediction among term births (area under the curve, 0.50 for both). When the prediction of severe morbidity was compared, the intrauterine still had better overall prediction than the birthweight standard (areas under the curve, 0.65 vs 0.57; P<.001), although this also varied by gestational age at birth. CONCLUSION Among nonanomalous neonates, neither intrauterine nor birthweight-derived standards for small for gestational age accurately predicted neonatal morbidity and mortality, with no discriminatory ability at term. Small for gestational age intrauterine standards performed better than birthweight standards.
Collapse
|
14
|
Sovio U, Goulding N, McBride N, Cook E, Gaccioli F, Charnock-Jones DS, Lawlor DA, Smith GCS. A Maternal Serum Metabolite Ratio Predicts Large for Gestational Age Infants at Term: A Prospective Cohort Study. J Clin Endocrinol Metab 2022; 107:e1588-e1597. [PMID: 34897472 PMCID: PMC8947792 DOI: 10.1210/clinem/dgab842] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Indexed: 12/02/2022]
Abstract
CONTEXT Excessive birth weight is associated with maternal and neonatal complications. However, ultrasonically estimated large for gestational age (LGA; >90th percentile) predicts these complications poorly. OBJECTIVE To determine whether a maternal serum metabolite ratio developed for fetal growth restriction (FGR) is predictive of birth weight across the whole range, including LGA at birth. METHODS Metabolites were measured using ultrahigh performance liquid chromatography-tandem mass spectroscopy. The 4-metabolite ratio was previously derived from an analysis of FGR cases and a random subcohort from the Pregnancy Outcome Prediction study. Here, we evaluated its relationship at 36 weeks of gestational age (wkGA) with birth weight in the subcohort (n = 281). External validation in the Born in Bradford (BiB) study (n = 2366) used the metabolite ratio at 24 to 28 wkGA. RESULTS The inverse of the metabolite ratio at 36 wkGA predicted LGA at term [the area under the receiver operating characteristic curve (AUROCC) = 0.82, 95% CI 0.73 to 0.91, P = 6.7 × 10-5]. The ratio was also inversely associated with birth weight z score (linear regression, beta = -0.29 SD, P = 2.1 × 10-8). Analysis in the BiB cohort confirmed that the ratio at 24 to 28 wkGA predicted LGA (AUROCC = 0.60, 95% CI 0.54 to 0.67, P = 8.6 × 10-5) and was inversely associated with birth weight z score (beta = -0.12 SD, P = 1.3 × 10-9). CONCLUSIONS A metabolite ratio which is strongly predictive of FGR is equally predictive of LGA birth weight and is inversely associated with birth weight across the whole range.
Collapse
Affiliation(s)
- Ulla Sovio
- Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Neil Goulding
- NIHR Bristol Biomedical Research Centre, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Nancy McBride
- NIHR Bristol Biomedical Research Centre, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Emma Cook
- Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Francesca Gaccioli
- Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - D Stephen Charnock-Jones
- Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Deborah A Lawlor
- NIHR Bristol Biomedical Research Centre, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Gordon C S Smith
- Department of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Centre for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| |
Collapse
|
15
|
Dieste Pérez P, Esteban LM, Savirón-Cornudella R, Pérez-López FR, Castán-Mateo S, Sanz G, Tajada-Duaso M. Reduced Growth in Non-Small for Gestational Age Fetuses from 35 Weeks of Gestation to Birth and Perinatal Outcomes. Fetal Diagn Ther 2021; 48:768-777. [PMID: 34727547 DOI: 10.1159/000519639] [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: 03/25/2021] [Accepted: 09/10/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVE This study aimed to assess reduced fetal growth between 35 weeks of gestation and birth in non-small for gestational age fetuses associated with adverse perinatal outcomes (APOs). MATERIAL AND METHOD It is a retrospective cohort study of 9,164 non-small for gestational age fetuses estimated by ultrasound at 35 weeks. The difference between the birth weight percentile and the estimated percentile weight (EPW) at 35 weeks of gestation was calculated, and we studied the relationship of this difference with the appearance of APO. APOs were defined as cesarean or instrumental delivery rates for nonreassuring fetal status, 5-min Apgar score <7, arterial cord blood pH <7.10, and stillbirth. Fetuses that exhibited a percentile decrease between both moments were classified into 6 categories according to the amount of percentile decrease (0.01-10.0, 10.01-20.0, 20.01-30.0, 30.01-40.0, 40.01-50.0, and >50.0 percentiles). It was evaluated whether the appearance of APO was related to the amount of this percentile decrease. Relative risk (RR) was calculated in these subgroups to predict APOs in general and for each APO in particular. Receiver operating characteristic and area under curves (AUC) for the difference in the percentile was calculated, used as a continuous parameter in the entire study population. RESULTS The median gestational age at delivery in uncomplicated pregnancies was 40.0 (39.1-40.7) and in pregnancies with APOs 40.3 (49.4-41.0), p < 0.001. The prevalence of APOs was greater in the group of fetuses with a decrease in percentile (7.6%) compared to those with increased percentile (4.8%) (p < 0.001). The RR was 1.63 (95% CI: 1.365-1.944, p < 0.001). Although the differences were significant in all decreased percentile groups, RRs were significantly higher when decreased growth values were >40 points (RR: 2.036, 95% CI: 1.581-2.623, p < 0.001). The estimated value of the AUC for percentile decrease was 0.58 (0.56-0.61, p < 0.001). CONCLUSION Fetuses with a decrease in the EPW between the ultrasound at 35 weeks of gestation and birth have a higher risk of APOs, being double in fetuses with a decrease of >40 percentile points.
Collapse
Affiliation(s)
- Peña Dieste Pérez
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain
| | - Luis M Esteban
- Engineering School of La Almunia, University of Zaragoza, La Almunia de Doña Godina, Spain
| | - Ricardo Savirón-Cornudella
- Department of Obstetrics and Gynecology, Hospital Clínico San Carlos and Instituto de Investigación Sanitaria San Carlos (IdISSC), Universidad Complutense, Madrid, Spain
| | - Faustino R Pérez-López
- Department of Obstetrics and Gynecology, Aragón Health Research Institute, University of Zaragoza Faculty of Medicine, Zaragoza, Spain
| | - Sergio Castán-Mateo
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain
| | - Gerardo Sanz
- Department of Statistical Methods, Institute for Biocomputation and Physics of Complex Systems-BIFI, University of Zaragoza, Zaragoza, Spain
| | - Mauricio Tajada-Duaso
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain
| |
Collapse
|
16
|
Bhamidipaty-Pelosi S, Fox J, Greer RM, Kumar S. The risk of recurrent small-for-gestational-age infants at term is dependent on the number of previously affected births. Am J Obstet Gynecol 2021; 225:415.e1-415.e9. [PMID: 33848539 DOI: 10.1016/j.ajog.2021.04.219] [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: 11/02/2020] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Small-for-gestational-age infants are at a substantially increased risk of perinatal complications, but the risk of recurrent small-for-gestational-age is not well known, particularly because there are many demographic and obstetrical factors that interact and modify this risk. We investigated the relationship between previous small-for-gestational-age births and the risk of recurrence at term in a large Australian cohort. OBJECTIVE We aimed to identify key demographic and obstetrical variables that influence the risk of recurrence of a small-for-gestational-age infant at term. The primary outcome measure was the odds of recurrence of small-for-gestational-age in subsequent pregnancies up to a maximum of 4 consecutive term births. STUDY DESIGN This was a retrospective analysis of women who had more than 1 consecutive nonanomalous, singleton, term live births between July 1997 and September 2018 at the Mater Mother's Hospital in Brisbane, Australia. Women with multiple pregnancy, preterm birth, or major congenital malformations were excluded. Small-for-gestational-age was defined as birthweight at the <10th centile. We calculated the odds of recurrence depending on the number of previous small-for-gestational-age infants and if only the preceding infant was small-for-gestational-age. The study population was dichotomized into small-for-gestational-age and non-small-for-gestational-age for each consecutive pregnancy. Univariate analyses compared baseline demographic and obstetrical characteristics followed by logistic regression modeling to determine the odds of recurrence in the second, third, and fourth pregnancies. RESULTS The final study comprised 24,819 women. The proportion of women who had a small-for-gestational-age infant in their first pregnancy was 9.4%, whereas the proportion of women who had a small-for-gestational-age infant in their second, third, and fourth pregnancies after the birth of a previous small-for-gestational-age infant were 20.5% (479 of 2338), 24.6% (63 of 256), and 30.4% (14 of 46), respectively. Regardless of parity, the odds of recurrence increased if the preceding infant was small-for-gestational-age. The odds of recurrence increased markedly if there was more than 1 previous small-for-gestational-age infant. In women with 3 previous small-for-gestational-age infants, the adjusted odds of another small-for-gestational-age infant were 66.00 (95% confidence interval, 11.35-383.76). Maternal age, body mass index, ethnicity, and smoking were significant risk factors for recurrent small-for-gestational-age. However, maternal diabetes mellitus or hypertension, either in a previous or current pregnancy, did not influence the risk of recurrence. CONCLUSION The risk of recurrence in a subsequent pregnancy increased if there was a previous small-for-gestational-age birth. Women with consecutive small-for-gestational-age infants were at the highest risk of recurrence. Our results highlight that women with a previous small-for-gestational-age infant are at a substantial risk of another small infant and need to be counseled and monitored appropriately.
Collapse
|
17
|
Customized versus Population Growth Standards for Morbidity and Mortality Risk Stratification Using Ultrasonographic Fetal Growth Assessment at 22 to 29 Weeks' Gestation. Am J Perinatol 2021; 38:e46-e56. [PMID: 32198743 PMCID: PMC7537732 DOI: 10.1055/s-0040-1705114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE The aim of study is to compare the performance of ultrasonographic customized and population fetal growth standards for prediction adverse perinatal outcomes. STUDY DESIGN This was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be, in which l data were collected at visits throughout pregnancy and after delivery. Percentiles were assigned to estimated fetal weights (EFWs) measured at 22 to 29 weeks using the Hadlock population standard and a customized standard (www.gestation.net). Areas under the curve were compared for the prediction of composite and severe composite perinatal morbidity using EFW percentile. RESULTS Among 8,701 eligible study participants, the population standard diagnosed more fetuses with fetal growth restriction (FGR) than the customized standard (5.5 vs. 3.5%, p < 0.001). Neither standard performed better than chance to predict composite perinatal morbidity. Although the customized performed better than the population standard to predict severe perinatal morbidity (areas under the curve: 0.56 vs. 0.54, p = 0.003), both were poor. Fetuses considered FGR by the population standard but normal by the customized standard had morbidity rates similar to fetuses considered normally grown by both standards.The population standard diagnosed FGR among black women and Hispanic women at nearly double the rate it did among white women (p < 0.001 for both comparisons), even though morbidity was not different across racial/ethnic groups. The customized standard diagnosed FGR at similar rates across groups. Using the population standard, 77% of FGR cases were diagnosed among female fetuses even though morbidity among females was lower (p < 0.001). The customized model diagnosed FGR at similar rates in male and female fetuses. CONCLUSION At 22 to 29 weeks' gestation, EFW percentile alone poorly predicts perinatal morbidity whether using customized or population fetal growth standards. The population standard diagnoses FGR at increased rates in subgroups not at increased risk of morbidity and at lower rates in subgroups at increased risk of morbidity, whereas the customized standard does not.
Collapse
|
18
|
Inkster AM, Fernández-Boyano I, Robinson WP. Sex Differences Are Here to Stay: Relevance to Prenatal Care. J Clin Med 2021; 10:3000. [PMID: 34279482 PMCID: PMC8268816 DOI: 10.3390/jcm10133000] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 07/02/2021] [Indexed: 12/27/2022] Open
Abstract
Sex differences exist in the incidence and presentation of many pregnancy complications, including but not limited to pregnancy loss, spontaneous preterm birth, and fetal growth restriction. Sex differences arise very early in development due to differential gene expression from the X and Y chromosomes, and later may also be influenced by the action of gonadal steroid hormones. Though offspring sex is not considered in most prenatal diagnostic or therapeutic strategies currently in use, it may be beneficial to consider sex differences and the associated mechanisms underlying pregnancy complications. This review will cover (i) the prevalence and presentation of sex differences that occur in perinatal complications, particularly with a focus on the placenta; (ii) possible mechanisms underlying the development of sex differences in placental function and pregnancy phenotypes; and (iii) knowledge gaps that should be addressed in the development of diagnostic or risk prediction tools for such complications, with an emphasis on those for which it would be important to consider sex.
Collapse
Affiliation(s)
- Amy M. Inkster
- BC Children’s Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada; (A.M.I.); (I.F.-B.)
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada
| | - Icíar Fernández-Boyano
- BC Children’s Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada; (A.M.I.); (I.F.-B.)
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada
| | - Wendy P. Robinson
- BC Children’s Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada; (A.M.I.); (I.F.-B.)
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada
| |
Collapse
|
19
|
Prediction of Late-Onset Small for Gestational Age and Fetal Growth Restriction by Fetal Biometry at 35 Weeks and Impact of Ultrasound-Delivery Interval: Comparison of Six Fetal Growth Standards. J Clin Med 2021; 10:jcm10132984. [PMID: 34279466 PMCID: PMC8269193 DOI: 10.3390/jcm10132984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 06/29/2021] [Accepted: 07/01/2021] [Indexed: 12/02/2022] Open
Abstract
Small-for-gestational-age (SGA) infants have been associated with increased risk of adverse perinatal outcomes (APOs). In this work, we assess the predictive ability of the ultrasound-estimated percentile weight (EPW) at 35 weeks of gestational age to predict late-onset SGA and APOs, according to six growth standards, and whether the ultrasound–delivery interval influences the detection rate. To this purpose, we analyze a retrospective cohort study of 9585 singleton pregnancies. EPWs at 35 weeks were calculated to the customized Miguel Servet University Hospital (MSUH) and Figueras standards and the non-customized MSUH, Fetal Medicine Foundation (FMF), INTERGROWTH-21st, and WHO standards. As results of our analysis, for a 10% false positive rate, the detection rates for SGA ranged between 48.9% with the customized Figueras standard (AUC 0.82) and 60.8% with the non-customized FMF standard (AUC 0.87). Detection rates to predict SGA by ultrasound–delivery interval (1–6 weeks) show higher detection rates as intervals decrease. APOs detection rates ranged from 27.0% with FMF to 7.9% with the Figueras standard. In conclusion, the ability of EPW to predict SGA at 35 weeks is good for all standards, and slightly better for non-customized standards. The APO detection rate is significantly greater for non-customized standards.
Collapse
|
20
|
Ling HZ, Guy GP, Bisquera A, Nicolaides KH, Kametas NA. Maternal cardiac adaptation and fetal growth. Am J Obstet Gynecol 2021; 224:601.e1-601.e18. [PMID: 33347843 DOI: 10.1016/j.ajog.2020.12.1199] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 11/02/2020] [Accepted: 12/15/2020] [Indexed: 01/15/2023]
Abstract
BACKGROUND Pregnancies with small-for-gestational-age fetuses are at increased risk of adverse maternal-fetal outcomes. Previous studies examining the relationship between maternal hemodynamics and fetal growth were mainly focused on high-risk pregnancies and those with fetuses with extreme birthweights, such as less than the 3rd or 10th percentile and assumed a similar growth pattern in fetuses above the 10th percentile throughout gestation. OBJECTIVE This study aimed to evaluate the trends in maternal cardiac function, fetal growth, and oxygenation with advancing gestational age in a routine obstetrical population and all ranges of birthweight percentiles. STUDY DESIGN This was a prospective, longitudinal study assessing maternal cardiac output and peripheral vascular resistance by bioreactance at 11+0 to 13+6, 19+0 to 24+0, 30+0 to 34+0, and 35+0 to 37+0 weeks' gestation, sonographic estimated fetal weight in the last 3 visits and the ratio of the middle cerebral artery by umbilical artery pulsatility indices or cerebroplacental ratio in the last 2 visits. Women were divided into the following 5 groups according to birthweight percentile: group 1, <10th percentile (n=261); group 2, 10 to 19.9 percentile (n=180); group 3, 20 to 29.9 percentile (n=189); group 4, 30 to 69.9 percentile (n=651); and group 5, ≥70th percentile (n=508). The multilevel linear mixed-effects model was performed to compare the repeated measures of hemodynamic variables and z scores of the estimated fetal weight and cerebroplacental ratio. RESULTS In visit 2, compared with visit 1, in all groups, cardiac output increased, and peripheral vascular resistance decreased. At visit 3, groups 1, 2, and 3, compared with 4 and 5, demonstrated an abrupt decrease in cardiac output and increase in peripheral vascular resistance. From visit 2, group 1 had a constant decline in estimated fetal weight, coinciding with the steepest decline in maternal cardiac output and rise in peripheral vascular resistance. In contrast, in groups 4 and 5, the estimated fetal weight had a stable or accelerative pattern, coinciding with the greatest increase in cardiac output and lowest peripheral vascular resistance. Groups 2 and 3 showed a stable growth pattern with intermediate cardiac output and peripheral vascular resistance. Increasing birthweight was associated with higher cerebroplacental ratio. Groups 3, 4, and 5 had stable cerebroplacental ratio across visits 3 and 4, whereas groups 1 and 2 demonstrated a significant decline (P<.001). CONCLUSION In a general obstetrical population, maternal cardiac adaptation at 32 weeks' gestation parallels the pattern of fetal growth and oxygenation; babies with birthweight<20th percentile have progressive decline in fetal cerebroplacental ratio, decline in maternal cardiac output, and increase in peripheral vascular resistance.
Collapse
|
21
|
Selvaratnam RJ, Wallace EM, Hunt RW, Davey MA. Preventing harm: A balance measure for improving the detection of fetal growth restriction. Aust N Z J Obstet Gynaecol 2021; 61:715-721. [PMID: 33772758 DOI: 10.1111/ajo.13340] [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: 10/29/2020] [Accepted: 02/23/2021] [Indexed: 01/19/2023]
Abstract
BACKGROUND Increasing the detection of fetal growth restriction (FGR), while reducing stillbirth, also leads to unnecessary early intervention, and associated morbidity, for normally grown babies who are incorrectly suspected of FGR. AIMS We sought to design a balance measure that addresses the specificity of FGR detection. METHODS A retrospective cohort study on all singleton births ≥32 weeks gestation in 2016 and 2017 in Victoria. We compared two balance measures for the detection of FGR, defined as the proportion of all babies iatrogenically delivered before 39 weeks gestation for suspected FGR that had a birthweight ≥10th centile (balance measure 1) or ≥25th centile (balance measure 2). Hospital level performance on each balance measure was derived and compared to an existing performance measure for severe FGR detection in Victoria. RESULTS Of the 38 hospitals analysed, 12 (32%) had a favourable performance on an existing indicator of FGR detection, seven (18%) hospitals had a favourable performance on balance measure 1, and 15 (39%) had a favourable performance on balance measure 2. There was a moderate correlation between hospital performance on the existing indicator and on balance measure 1 (r = 0.447, P = 0.005) but not balance measure 2 (r = -0.063, P = 0.71). There was no difference in perinatal mortality between high performing hospitals and low performing hospitals. CONCLUSION Introducing a balance measure into routine reporting may bring greater awareness to the unintended harm associated with increased detection of FGR.
Collapse
Affiliation(s)
- Roshan J Selvaratnam
- The Ritchie Centre, Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Safer Care Victoria, Department of Health and Human Services, Victorian Government, Melbourne, Victoria, Australia
| | - Euan M Wallace
- The Ritchie Centre, Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Safer Care Victoria, Department of Health and Human Services, Victorian Government, Melbourne, Victoria, Australia
| | - Rodney W Hunt
- Safer Care Victoria, Department of Health and Human Services, Victorian Government, Melbourne, Victoria, Australia.,Department of Paediatrics, Monash University, Melbourne, Victoria, Australia.,Neonatal Research, Clinical Sciences, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Monash Newborn, Monash Health, Melbourne, Victoria, Australia
| | - Mary-Ann Davey
- The Ritchie Centre, Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Safer Care Victoria, Department of Health and Human Services, Victorian Government, Melbourne, Victoria, Australia
| |
Collapse
|
22
|
Bao X, Wang Y, Zhang S, Yang L, Liu G, Yang Y, Li X, Hao D, Chen A, Liu X, Shao J. Establishment of a personalized fetal growth curve model. Technol Health Care 2021; 29:311-317. [PMID: 33682767 PMCID: PMC8150511 DOI: 10.3233/thc-218028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND: Fetal weight is one of the important indicators for judging whether fetal growth and development are normal. Fetal weight exceeding the normal range may lead to poor delivery outcomes. OBJECTIVE: We aimed to establish a personalized fetal growth curve in order to effectively monitor fetal growth during pregnancy. Fetal weight can be monitored while fetal growth and development are assessed. METHODS: This study retrospectively analyzed the birth weight and ultrasound database of 3,093 newborns delivered at normal term. The personalized fetal growth curve model was generated based on the birth weight formula established by Gardosi combined with the proportional weight equation. RESULTS: (1) The average birth weight of the single fetus at normal term was 3,457g. (2) According to the regression results of the proportion of fetal weight in full-term pregnancy and gestational week, the proportional weight equation is Weight% = 500.9 - 51.60GA + 1.727GA2- 0.01718GA3 (GA is gestational week), R2 is 98%, P< 0.001. CONCLUSIONS: In this study, the normal birth weight of newborns and normal range of fetal weight can be estimated by using the personalized fetal growth curve model.
Collapse
Affiliation(s)
- Xinyu Bao
- Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.,Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Yan Wang
- Peking University People's Hospital, Beijing 100044, China
| | - Song Zhang
- Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.,Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Lin Yang
- Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.,Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Guoli Liu
- Peking University People's Hospital, Beijing 100044, China
| | - Yimin Yang
- Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.,Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Xuwen Li
- Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.,Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Dongmei Hao
- Faculty of Environment and Life Sciences, Beijing University of Technology, Beijing 100124, China.,Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing 100124, China
| | - Aiqing Chen
- Beijing Yes Medical Devices Co. Ltd., Beijing 100152, China
| | - Xiaohong Liu
- Beijing Yes Medical Devices Co. Ltd., Beijing 100152, China
| | - Jing Shao
- Beijing Yes Medical Devices Co. Ltd., Beijing 100152, China
| |
Collapse
|
23
|
Melamed N, Baschat A, Yinon Y, Athanasiadis A, Mecacci F, Figueras F, Berghella V, Nazareth A, Tahlak M, McIntyre HD, Da Silva Costa F, Kihara AB, Hadar E, McAuliffe F, Hanson M, Ma RC, Gooden R, Sheiner E, Kapur A, Divakar H, Ayres‐de‐Campos D, Hiersch L, Poon LC, Kingdom J, Romero R, Hod M. FIGO (international Federation of Gynecology and obstetrics) initiative on fetal growth: best practice advice for screening, diagnosis, and management of fetal growth restriction. Int J Gynaecol Obstet 2021; 152 Suppl 1:3-57. [PMID: 33740264 PMCID: PMC8252743 DOI: 10.1002/ijgo.13522] [Citation(s) in RCA: 204] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Fetal growth restriction (FGR) is defined as the failure of the fetus to meet its growth potential due to a pathological factor, most commonly placental dysfunction. Worldwide, FGR is a leading cause of stillbirth, neonatal mortality, and short- and long-term morbidity. Ongoing advances in clinical care, especially in definitions, diagnosis, and management of FGR, require efforts to effectively translate these changes to the wide range of obstetric care providers. This article highlights agreements based on current research in the diagnosis and management of FGR, and the areas that need more research to provide further clarification of recommendations. The purpose of this article is to provide a comprehensive summary of available evidence along with practical recommendations concerning the care of pregnancies at risk of or complicated by FGR, with the overall goal to decrease the risk of stillbirth and neonatal mortality and morbidity associated with this condition. To achieve these goals, FIGO (the International Federation of Gynecology and Obstetrics) brought together international experts to review and summarize current knowledge of FGR. This summary is directed at multiple stakeholders, including healthcare providers, healthcare delivery organizations and providers, FIGO member societies, and professional organizations. Recognizing the variation in the resources and expertise available for the management of FGR in different countries or regions, this article attempts to take into consideration the unique aspects of antenatal care in low-resource settings (labelled “LRS” in the recommendations). This was achieved by collaboration with authors and FIGO member societies from low-resource settings such as India, Sub-Saharan Africa, the Middle East, and Latin America.
Collapse
Affiliation(s)
- Nir Melamed
- Division of Maternal Fetal MedicineDepartment of Obstetrics and GynecologySunnybrook Health Sciences CentreUniversity of TorontoTorontoONCanada
| | - Ahmet Baschat
- Center for Fetal TherapyDepartment of Gynecology and ObstetricsJohns Hopkins UniversityBaltimoreMDUSA
| | - Yoav Yinon
- Fetal Medicine UnitDepartment of Obstetrics and GynecologySheba Medical CenterTel‐HashomerSackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| | - Apostolos Athanasiadis
- Third Department of Obstetrics and GynecologyAristotle University of ThessalonikiThessalonikiGreece
| | - Federico Mecacci
- Maternal Fetal Medicine UnitDivision of Obstetrics and GynecologyDepartment of Biomedical, Experimental and Clinical SciencesUniversity of FlorenceFlorenceItaly
| | - Francesc Figueras
- Maternal‐Fetal Medicine DepartmentBarcelona Clinic HospitalUniversity of BarcelonaBarcelonaSpain
| | - Vincenzo Berghella
- Division of Maternal‐Fetal MedicineDepartment of Obstetrics and GynecologyThomas Jefferson UniversityPhiladelphiaPAUSA
| | - Amala Nazareth
- Jumeira Prime Healthcare GroupEmirates Medical AssociationDubaiUnited Arab Emirates
| | - Muna Tahlak
- Latifa Hospital for Women and ChildrenDubai Health AuthorityEmirates Medical AssociationMohammad Bin Rashid University for Medical Sciences, Dubai, United Arab Emirates
| | | | - Fabrício Da Silva Costa
- Department of Gynecology and ObstetricsRibeirão Preto Medical SchoolUniversity of São PauloRibeirão PretoSão PauloBrazil
| | - Anne B. Kihara
- African Federation of Obstetricians and GynaecologistsKhartoumSudan
| | - Eran Hadar
- Helen Schneider Hospital for WomenRabin Medical CenterPetach TikvaIsrael
- Sackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| | - Fionnuala McAuliffe
- UCD Perinatal Research CentreSchool of MedicineNational Maternity HospitalUniversity College DublinDublinIreland
| | - Mark Hanson
- Institute of Developmental SciencesUniversity Hospital SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of SouthamptonSouthamptonUK
| | - Ronald C. Ma
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong SARChina
- Hong Kong Institute of Diabetes and ObesityThe Chinese University of Hong KongHong Kong SARChina
| | - Rachel Gooden
- FIGO (International Federation of Gynecology and Obstetrics)LondonUK
| | - Eyal Sheiner
- Soroka University Medical CenterBen‐Gurion University of the NegevBe’er‐ShevaIsrael
| | - Anil Kapur
- World Diabetes FoundationBagsværdDenmark
| | | | | | - Liran Hiersch
- Sourasky Medical Center and Sackler Faculty of MedicineLis Maternity HospitalTel Aviv UniversityTel AvivIsrael
| | - Liona C. Poon
- Department of Obstetrics and GynecologyPrince of Wales HospitalThe Chinese University of Hong KongShatinHong Kong SAR, China
| | - John Kingdom
- Division of Maternal Fetal MedicineDepartment of Obstetrics and GynecologyMount Sinai HospitalUniversity of TorontoTorontoONCanada
| | - Roberto Romero
- Perinatology Research BranchEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institutes of HealthU.S. Department of Health and Human ServicesBethesdaMDUSA
| | - Moshe Hod
- Helen Schneider Hospital for WomenRabin Medical CenterPetach TikvaIsrael
- Sackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| |
Collapse
|
24
|
Melamed N, Hiersch L, Aviram A, Keating S, Kingdom JC. Customized birth-weight centiles and placenta-related fetal growth restriction. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 57:409-416. [PMID: 33073889 DOI: 10.1002/uog.23516] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 08/20/2020] [Accepted: 09/30/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE The value of using customized birth-weight centiles to improve the diagnostic accuracy for fetal growth restriction (FGR), in comparison with using population-based charts, remains a matter of debate. One potential explanation for the conflicting data is that most studies used measures of perinatal mortality and morbidity as proxies for placenta-mediated FGR, many of which are not specific and may be confounded by other factors such as prematurity. The aim of this study was to compare the diagnostic accuracy of small-for-gestational age (SGA) at birth, defined according to customized vs population-based charts, for associated abnormal placental pathology. METHODS This was a secondary analysis of data from a prospective cohort study on risk factors for placenta-mediated complications and abnormal placental pathology in low-risk nulliparous women. All placentae were sent for detailed histopathological examination by two perinatal pathologists. The primary exposure was SGA, defined as birth weight < 10th centile for gestational age using either a customized (SGAcust ) or a population-based (SGApop ) birth-weight reference. The outcomes of interest were one of three types of abnormal placental pathology associated with FGR: maternal vascular malperfusion (MVM), chronic villitis and fetal vascular malperfusion (FVM). Adjusted relative risks (aRR) with 95% CIs were estimated using modified Poisson regression analysis, with adjustment for smoking, body mass index and aspirin treatment. RESULTS A total of 857 nulliparous women met the study criteria. The proportions of infants identified as SGA based on the customized and population-based charts were 12.6% (108/857) and 11.4% (98/857), respectively. A diagnosis of SGA using either customized or population-based charts was associated with an increased risk of any placental pathology (aRR, 3.04 (95% CI, 2.29-4.04) and 1.60 (95% CI, 1.10-2.31), respectively) and MVM pathology (aRR, 12.33 (95% CI, 6.60-23.03) and 5.29 (95% CI, 2.87-9.76), respectively). SGAcust , but not SGApop , was also associated with an increased risk for chronic villitis (aRR, 1.85 (95% CI, 1.07-3.18)) and FVM pathology (aRR, 2.48 (95% CI, 1.25-4.93)). SGAcust had a higher detection rate for any placental pathology (30.3% vs 17.1%; P < 0.001), MVM pathology (63.2% vs 39.5%; P = 0.003) and chronic villitis (20.8% vs 8.3%; P = 0.007) than did SGApop , for a similar false-positive rate. This was mainly the result of a higher detection rate for abnormal pathology in the white and East-Asian subgroups and a lower false-positive rate for abnormal pathology in the South-Asian subgroup by SGAcust than by SGApop . In addition, pregnancies in the SGAcust group, but not those in the SGApop group, were more likely to be complicated by preterm birth and a low 5-min Apgar score than were the corresponding non-SGA group. CONCLUSION These findings suggest that customized birth-weight centiles may be superior to population-based birth-weight centiles in detecting FGR that is due to underlying placental disease. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.
Collapse
Affiliation(s)
- N Melamed
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - L Hiersch
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - A Aviram
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - S Keating
- Department of Laboratory Medicine and Pathobiology, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - J C Kingdom
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, Ontario, Canada
| |
Collapse
|
25
|
Simeone S, Vannuccini S, Proietto R, Serena C, Ottanelli S, Rambaldi MP, Lisi F, Clemenza S, Comito C, Cozzolino M, Petraglia F, Mecacci F. Fetal nondiabetic-macrosomia: risk factors for pregnancy adverse outcome and comparison of two growth curves in the prediction of cesarean section. J Matern Fetal Neonatal Med 2021; 35:5639-5646. [PMID: 33627015 DOI: 10.1080/14767058.2021.1888918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND Randomized trials reported no difference whether induction or expectant management is performed in non-diabetic women with large for gestational age babies but no tool has been validated for the prediction of high risk cases. AIM Assessing the performance of different growth curves in the prediction of complications. METHODS Data from 1066 consecutive non-diabetic women who delivered babies ≥4000 g were collected. Logistic regression analysis was used to analyze the impact of the maternal variables on: instrumental delivery, shoulder dystocia (SD), perineal tears, cesarean section (CS), and postpartum hemorrhage. Intergrowth21 curves and customized Gardosi's curves were compared in terms of prediction of adverse outcomes. FINDINGS Induction of labor was performed in 23.1% cases. The rate of CS was 17%. Hemorrhage, fetal distress, and SD occurred in 2%, 1.3%, and 2.7% of cases, respectively. Induction was significantly associated with instrumental delivery (p < .001), CS (p = .001), third and fourth degree perineal tears (p = .031), and post-partum hemorrhage (p = .02). The cutoff of 90th percentile according to Intergrowth21 did not show significant performance in predicting CS, while the same cutoff according to the Gardosi curves showed an OR 1.92 (CI 1.30-2.84) (p = .0009). DISCUSSION Gardosi curves showed a better performance in predicting the risk of CS versus Intergrowth curves. Induction is significantly associated with adverse outcome in non-diabetic women with LGA babies.
Collapse
Affiliation(s)
- Serena Simeone
- Department of Mother and Child's Health, Careggi University Hospital, Florence, Italy
| | - Silvia Vannuccini
- Department of Mother and Child's Health, Careggi University Hospital, Florence, Italy
| | - Roberta Proietto
- Nutrition Sciences Degree, University of Florence, Florence, Italy
| | - Caterina Serena
- Department of Mother and Child's Health, Careggi University Hospital, Florence, Italy
| | - Serena Ottanelli
- Department of Mother and Child's Health, Careggi University Hospital, Florence, Italy
| | | | - Federica Lisi
- Department of Mother and Child's Health, Careggi University Hospital, Florence, Italy
| | - Sara Clemenza
- Department of Mother and Child's Health, Careggi University Hospital, Florence, Italy
| | - Chiara Comito
- Department of Mother and Child's Health, Careggi University Hospital, Florence, Italy
| | - Mauro Cozzolino
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA.,Department of Obstetrics and Gynecology, Universidad Rey Juan Carlos, Madrid, Spain.,IVIRMA, IVI Foundation, Valencia, Spain
| | - Felice Petraglia
- Department of Biochemical, Experimental and Clinical Sciences "MarioSerio", University of Florence, Florence, Italy
| | - Federico Mecacci
- Department of Biochemical, Experimental and Clinical Sciences "MarioSerio", University of Florence, Florence, Italy
| |
Collapse
|
26
|
Beaumont RN, Kotecha SJ, Wood AR, Knight BA, Sebert S, McCarthy MI, Hattersley AT, Järvelin MR, Timpson NJ, Freathy RM, Kotecha S. Common maternal and fetal genetic variants show expected polygenic effects on risk of small- or large-for-gestational-age (SGA or LGA), except in the smallest 3% of babies. PLoS Genet 2020; 16:e1009191. [PMID: 33284794 PMCID: PMC7721187 DOI: 10.1371/journal.pgen.1009191] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 10/13/2020] [Indexed: 11/18/2022] Open
Abstract
Babies born clinically Small- or Large-for-Gestational-Age (SGA or LGA; sex- and gestational age-adjusted birth weight (BW) <10th or >90th percentile, respectively), are at higher risks of complications. SGA and LGA include babies who have experienced environment-related growth-restriction or overgrowth, respectively, and babies who are heritably small or large. However, the relative proportions within each group are unclear. We assessed the extent to which common genetic variants underlying variation in birth weight influence the probability of being SGA or LGA. We calculated independent fetal and maternal genetic scores (GS) for BW in 11,951 babies and 5,182 mothers. These scores capture the direct fetal and indirect maternal (via intrauterine environment) genetic contributions to BW, respectively. We also calculated maternal fasting glucose (FG) and systolic blood pressure (SBP) GS. We tested associations between each GS and probability of SGA or LGA. For the BW GS, we used simulations to assess evidence of deviation from an expected polygenic model. Higher BW GS were strongly associated with lower odds of SGA and higher odds of LGA (ORfetal = 0.75 (0.71,0.80) and 1.32 (1.26,1.39); ORmaternal = 0.81 (0.75,0.88) and 1.17 (1.09,1.25), respectively per 1 decile higher GS). We found evidence that the smallest 3% of babies had a higher BW GS, on average, than expected from their observed birth weight (assuming an additive polygenic model: Pfetal = 0.014, Pmaternal = 0.062). Higher maternal SBP GS was associated with higher odds of SGA P = 0.005. We conclude that common genetic variants contribute to risk of SGA and LGA, but that additional factors become more important for risk of SGA in the smallest 3% of babies.
Collapse
Affiliation(s)
- Robin N. Beaumont
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
- Department of Child Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Sarah J. Kotecha
- Department of Child Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Andrew R. Wood
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Bridget A. Knight
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Sylvain Sebert
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulun yliopisto, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
- Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom
| | - Andrew T. Hattersley
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulun yliopisto, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex, United Kingdom
| | - Nicholas J. Timpson
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Rachel M. Freathy
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Sailesh Kotecha
- Department of Child Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
| |
Collapse
|
27
|
Preventing term stillbirth: benefits and limitations of using fetal growth reference charts. Curr Opin Obstet Gynecol 2020; 31:365-374. [PMID: 31634162 DOI: 10.1097/gco.0000000000000576] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW This review examines the variation in clinical practice with regards to ultrasound estimation of fetal weight, as well as calculation of fetal weight centiles. RECENT FINDINGS Placental dysfunction is associated with fetal smallness from intrauterine malnutrition as well as fetal disability and even stillbirth from hypoxemia. Although estimating fetal weight can be done accurately, the issue of which fetal weight centile chart should be used continues to be a contentious topic. The arguments against local fetal growth charts based on national borders and customization for variables known to be associated with disease are substantial. As for other human diseases such as hypertension and diabetes, there is a rationale for the use of an international fetal growth reference standard. Irrespective of the choice of fetal growth reference standard, a significant limitation of small for gestational age (SGA) detection programs to prevent stillbirth is that the majority of stillborn infants at term were not SGA at the time of demise. SUMMARY Placental dysfunction can present with SGA from malnutrition and/or stillbirth from hypoxemia depending on the gestational age of onset. Emerging data show that at term, fetal Doppler arterial redistribution is associated more strongly with perinatal death than fetal size. Properly conducted trials of the role for maternal characteristics, fetal size, placental biomarkers, and Doppler assessing fetal well-being are required urgently.
Collapse
|
28
|
Zeegers B, Offerhaus P, Peters L, Budé L, Verhoeven C, Nieuwenhuijze M. Impact of maternal height on birthweight classification in singleton births at term: a cohort study in The Netherlands. J Matern Fetal Neonatal Med 2020; 35:3167-3174. [PMID: 32883148 DOI: 10.1080/14767058.2020.1814246] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE To assess the association between maternal height and birthweight in a healthy population and to study the effect of maternal height on the classification of birthweight as small for gestational age (SGA) and large for gestational age (LGA). METHODS A descriptive, observational retrospective study was conducted in a low risk population in the Netherlands. The study included term singleton healthy nonsmoking pregnant women with normal body mass index (n = 9291). We calculated the impact of maternal height on birthweight using multiple linear regression analyses with adjustment for gestational age, gender, and parity. We calculated the number of newborns classified as SGA and LGA using the cutoff point of the Dutch Birthweight chart, which does not customize for maternal height. Subsequently, we calculated the changes in classification from SGA and LGA to appropriate for gestational age (AGA) in case of customization for maternal height. RESULTS A significant association was found between maternal height and birthweight; 15.0 g higher birthweight per extra cm maternal height (95% confidence interval 13.8-16.1; p<.001; R2 model = 0.28). The incidence of SGA was 7.1% (range 17.4-2.0% form shortest to tallest maternal height category) and of LGA 8.4% (range 1.9-21.5% from shortest to tallest maternal height category). We calculated a shift in classification: 114 newborns (17.3%) in shorter (<167 cm) women previously SGA and 165 newborns (21.1%) in taller (>173 cm) women previously LGA were classified as AGA when controlling for maternal height. CONCLUSIONS Maternal height is significantly associated with birthweight. Birthweight charts customized for maternal height change classification in one out of six SGA or LGA newborns at term.
Collapse
Affiliation(s)
- Bert Zeegers
- Research Center for Midwifery Science Maastricht, Maastricht, The Netherlands
| | - Pien Offerhaus
- Research Center for Midwifery Science Maastricht, Maastricht, The Netherlands
| | - Lilian Peters
- Department of Midwifery Science, AVAG, Amsterdam, The Netherlands.,Department of General Practice and Elderly Care Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Luc Budé
- Research Center for Midwifery Science Maastricht, Maastricht, The Netherlands
| | - Corine Verhoeven
- Department of Midwifery Science, AVAG, Amsterdam, The Netherlands.,School of Health Sciences, University of Nottingham, Nottingham, UK
| | | |
Collapse
|
29
|
Selvaratnam RJ, Davey MA, Wallace EM. The pitfalls of using birthweight centile charts to audit care. PLoS One 2020; 15:e0235113. [PMID: 32574213 PMCID: PMC7310721 DOI: 10.1371/journal.pone.0235113] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 06/09/2020] [Indexed: 01/20/2023] Open
Abstract
Objectives Timely delivery of fetal growth restriction (FGR) is important in reducing stillbirth. However, targeted earlier delivery of FGR preferentially removes smaller babies from later gestations, thereby right-shifting the distribution of birthweights at term. This artificially increases the birthweight cutoffs defining the lower centiles and redefines normally grown babies as small by population-based birthweight centiles. Our objective was to compare updated Australian national population-based birthweight centile charts over time with the prescriptive INTERGROWTH-21st standard. Methods A retrospective descriptive study of all singleton births ≥34 weeks’ gestation in Victoria, Australia in five two-year epochs: 1983–84, 1993–94, 2003–04, 2013–14, and 2016–17. The birthweight cutoffs defining the 3rd and 10th centile from three Australian national population-based birthweight centile charts, for births in 1991–1994, in 1998–2007, and 2004–2013 respectively, were applied to each epoch to calculate the proportion of babies with birthweight <3rd and <10th centile. The same analysis was done using the INTERGROWTH-21st birthweight standard. To assess change over gestation, proportions were also calculated at preterm, early term and late term gestations. Results From 1983–84 to 2016–17, the proportion of babies with birthweight <3rd fell across all birthweight centile charts, from 3.1% to 1.7% using the oldest Australian chart, from 3.9% to 1.9% using the second oldest Australian chart, from 4.3% to 2.2% using the most recent Australian chart, and from 2.0% to 0.9% using the INTERGROWTH-21st standard. A similar effect was evident for the <10th centile. The effect was most obvious at term gestations. Updating the Australian population birthweight chart progressively right-shifted the birthweight distribution, changing the definition of small over time. The birthweight distribution of INTERGROWTH-21st was left-shifted compared to the Australian charts. Conclusions Locally-derived population-based birthweight centiles are better for clinical audit of care but should not be updated. Prescriptive birthweight standards are less useful in defining ‘small’ due to their significant left-shift.
Collapse
Affiliation(s)
- Roshan John Selvaratnam
- Department of Obstetrics and Gynaecology, The Ritchie Centre, Monash University, Melbourne, Victoria, Australia
- Department of Health and Human Services, Safer Care Victoria, Victorian Government, Melbourne, Victoria, Australia
- * E-mail:
| | - Mary-Ann Davey
- Department of Obstetrics and Gynaecology, The Ritchie Centre, Monash University, Melbourne, Victoria, Australia
- Department of Health and Human Services, Safer Care Victoria, Victorian Government, Melbourne, Victoria, Australia
| | - Euan Morrison Wallace
- Department of Obstetrics and Gynaecology, The Ritchie Centre, Monash University, Melbourne, Victoria, Australia
- Department of Health and Human Services, Safer Care Victoria, Victorian Government, Melbourne, Victoria, Australia
| |
Collapse
|
30
|
Iliodromiti S, Smith GCS, Lawlor DA, Pell JP, Nelson SM. UK stillbirth trends in over 11 million births provide no evidence to support effectiveness of Growth Assessment Protocol program. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 55:599-604. [PMID: 32266750 DOI: 10.1002/uog.21999] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 02/18/2020] [Accepted: 02/19/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Use of the Growth Assessment Protocol (GAP) has increased internationally under the assumption that it reduces the stillbirth rate. The evidence for this is limited and based largely on an ecological time-trend study. Discordance in the uptake of the GAP program between Scotland and England/Wales enabled us to assess the assertion that implementation of GAP leads to a reduced stillbirth rate. METHODS We analyzed data from the National Records for Scotland and the Office for National Statistics on the number of singleton maternities and stillbirths in Scotland and in England and Wales, respectively, from 1 January 2000 to 31 December 2015. National uptake of the GAP program over time in each of the regions was recorded. Stillbirth rate per 1000 maternities was calculated, according to year of delivery, and compared between Scotland and England/Wales. RESULTS During the study period, there were 870 632 singleton maternities in Scotland, of which 4243 were stillbirths, and there were 10 469 120 singleton maternities in England and Wales, of which 51 562 were stillbirths. There was a marked difference in uptake of the GAP program between the two regions, with substantially fewer maternity units in Scotland implementing the program. Stillbirth rates were static up to 2010, with a decline thereafter in both regions, to 3.75 (95% CI, 3.25-4.30) per 1000 maternities in Scotland and 4.30 (95% CI, 4.15-4.46) per 1000 maternities in England and Wales in 2015. From 2010 onwards, the decline in Scotland was faster, equating to 48 (95% CI, 47.9-48.1) fewer stillbirths per 100 000 maternities in Scotland than in England and Wales from 2010 to 2015 compared with 2000 to 2009. CONCLUSIONS We observed a decline in stillbirth rate in England and Wales, which coincided with implementation of the GAP program. However, a concurrent decline in stillbirth rate was observed in Scotland in the absence of increased implementation of GAP. The secular rates of change in stillbirth rate in England and Wales cannot be used to infer efficacy of the GAP program. © 2020 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.
Collapse
Affiliation(s)
- S Iliodromiti
- Centre for Women's Health, Institute of Population Health, Queen Mary University London, London, UK
- School of Medicine, University of Glasgow, Glasgow, UK
| | - G C S Smith
- Department of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge, UK
| | - D A Lawlor
- Bristol NIHR Biomedical Research Centre, Bristol, UK
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health, Bristol Medical School, University of Bristol, Bristol, UK
| | - J P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - S M Nelson
- School of Medicine, University of Glasgow, Glasgow, UK
- Bristol NIHR Biomedical Research Centre, Bristol, UK
| |
Collapse
|
31
|
Wilson DL, Howard ME, Fung AM, O’Donoghue FJ, Barnes M, Lappas M, Walker SP. The presence of coexisting sleep-disordered breathing among women with hypertensive disorders of pregnancy does not worsen perinatal outcome. PLoS One 2020; 15:e0229568. [PMID: 32101584 PMCID: PMC7043804 DOI: 10.1371/journal.pone.0229568] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 02/09/2020] [Indexed: 01/27/2023] Open
Abstract
Objective To determine whether the presence of co-existing sleep-disordered breathing (SDB) is associated with worse perinatal outcomes among women diagnosed with a hypertensive disorder of pregnancy (HDP), compared with normotensive controls. Study design Women diagnosed with HDP (gestational hypertension or preeclampsia) and BMI- and gestation-matched controls underwent polysomnography in late pregnancy to determine if they had coexisting SDB. Fetal heart rate (FHR) monitoring accompanied the sleep study, and third trimester fetal growth velocity was assessed using ultrasound. Cord blood was taken at delivery to measure key regulators of fetal growth. Results SDB was diagnosed in 52.5% of the HDP group (n = 40) and 38.1% of the control group (n = 42); p = .19. FHR decelerations were commonly observed during sleep, but the presence of SDB did not increase this risk in either the HDP or control group (HDP group—SDB = 35.3% vs. No SDB = 40.0%, p = 1.0; control group—SDB = 41.7% vs. No SDB = 25.0%, p = .44), nor did SDB affect the total number of decelerations overnight (HDP group—SDB = 2.7 ± 1.0 vs. No SDB = 2.8 ± 2.1, p = .94; control group—SDB = 2.0 ± 0.8 vs. No SDB = 2.0 ± 0.7, p = 1.0). Fetal growth restriction was the strongest predictor of fetal heart rate events during sleep (aOR 5.31 (95% CI 1.26–22.26), p = .02). The presence of SDB also did not adversely affect fetal growth; in fact among women with HDP, SDB was associated with significantly larger customised birthweight centiles (43.2% ± 38.3 vs. 16.2% ± 27.0, p = .015) and fewer growth restricted babies at birth (30% vs. 68.4%, p = .026) compared to HDP women without SDB. There was no impact of SDB on measures of fetal growth for the control group. Cord blood measures of fetal growth did not show any adverse effect among women with SDB, either in the HDP or control group. Conclusion We did not find that the presence of mild SDB worsened fetal acute or longitudinal outcomes, either among women with HDP or BMI-matched normotensive controls. Unexpectedly, we found the presence of SDB conferred a better prognosis in HDP in terms of fetal growth. The fetus has considerable adaptive capacity to withstand in utero hypoxia, which may explain our mostly negative findings. In addition, SDB in this cohort was mostly mild. It may be that fetal sequelae will only be unmasked in the setting of more severe degrees of SDB and/or underlying placental disease.
Collapse
Affiliation(s)
- Danielle L. Wilson
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- * E-mail:
| | - Mark E. Howard
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Alison M. Fung
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, Victoria, Australia
| | - Fergal J. O’Donoghue
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Maree Barnes
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Martha Lappas
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Victoria, Australia
| | - Susan P. Walker
- Mercy Perinatal, Mercy Hospital for Women, Heidelberg, Victoria, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
32
|
Kabiri D, Romero R, Gudicha DW, Hernandez-Andrade E, Pacora P, Benshalom-Tirosh N, Tirosh D, Yeo L, Erez O, Hassan SS, Tarca AL. Prediction of adverse perinatal outcome by fetal biometry: comparison of customized and population-based standards. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 55:177-188. [PMID: 31006913 PMCID: PMC6810752 DOI: 10.1002/uog.20299] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 04/09/2019] [Accepted: 04/12/2019] [Indexed: 05/15/2023]
Abstract
OBJECTIVE To compare the predictive performance of estimated fetal weight (EFW) percentiles, according to eight growth standards, to detect fetuses at risk for adverse perinatal outcome. METHODS This was a retrospective cohort study of 3437 African-American women. Population-based (Hadlock, INTERGROWTH-21st , World Health Organization (WHO), Fetal Medicine Foundation (FMF)), ethnicity-specific (Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)), customized (Gestation-Related Optimal Weight (GROW)) and African-American customized (Perinatology Research Branch (PRB)/NICHD) growth standards were used to calculate EFW percentiles from the last available scan prior to delivery. Prediction performance indices and relative risk (RR) were calculated for EFW < 10th and > 90th percentiles, according to each standard, for individual and composite adverse perinatal outcomes. Sensitivity at a fixed (10%) false-positive rate (FPR) and partial (FPR < 10%) and full areas under the receiver-operating-characteristics curves (AUC) were compared between the standards. RESULTS Ten percent (341/3437) of neonates were classified as small-for-gestational age (SGA) at birth, and of these 16.4% (56/341) had at least one adverse perinatal outcome. SGA neonates had a 1.5-fold increased risk of any adverse perinatal outcome (P < 0.05). The screen-positive rate of EFW < 10th percentile varied from 6.8% (NICHD) to 24.4% (FMF). EFW < 10th percentile, according to all standards, was associated with an increased risk for each of the adverse perinatal outcomes considered (P < 0.05 for all). The highest RRs associated with EFW < 10th percentile for each adverse outcome were 5.1 (95% CI, 2.1-12.3) for perinatal mortality (WHO); 5.0 (95% CI, 3.2-7.8) for perinatal hypoglycemia (NICHD); 3.4 (95% CI, 2.4-4.7) for mechanical ventilation (NICHD); 2.9 (95% CI, 1.8-4.6) for 5-min Apgar score < 7 (GROW); 2.7 (95% CI, 2.0-3.6) for neonatal intensive care unit (NICU) admission (NICHD); and 2.5 (95% CI, 1.9-3.1) for composite adverse perinatal outcome (NICHD). Although the RR CIs overlapped among all standards for each individual outcome, the RR of composite adverse perinatal outcome in pregnancies with EFW < 10th percentile was higher according to the NICHD (2.46; 95% CI, 1.9-3.1) than the FMF (1.47; 95% CI, 1.2-1.8) standard. The sensitivity for composite adverse perinatal outcome varied substantially between standards, ranging from 15% for NICHD to 32% for FMF, due mostly to differences in FPR; this variation subsided when the FPR was set to the same value (10%). Analysis of AUC revealed significantly better performance for the prediction of perinatal mortality by the PRB/NICHD standard (AUC = 0.70) compared with the Hadlock (AUC = 0.66) and FMF (AUC = 0.64) standards. Evaluation of partial AUC (FPR < 10%) demonstrated that the INTERGROWTH-21st standard performed better than the Hadlock standard for the prediction of NICU admission and mechanical ventilation (P < 0.05 for both). Although fetuses with EFW > 90th percentile were also at risk for any adverse perinatal outcome according to the INTERGROWTH-21st (RR = 1.4; 95% CI, 1.0-1.9) and Hadlock (RR = 1.7; 95% CI, 1.1-2.6) standards, many times fewer cases (2-5-fold lower sensitivity) were detected by using EFW > 90th percentile, rather than EFW < 10th percentile, in screening by these standards. CONCLUSIONS Fetuses with EFW < 10th percentile or EFW > 90th percentile were at increased risk of adverse perinatal outcomes according to all or some of the eight growth standards, respectively. The RR of a composite adverse perinatal outcome in pregnancies with EFW < 10th percentile was higher for the most-stringent (NICHD) compared with the least-stringent (FMF) standard. The results of the complementary analysis of AUC suggest slightly improved detection of adverse perinatal outcome by more recent population-based (INTERGROWTH-21st ) and customized (PRB/NICHD) standards compared with the Hadlock and FMF standards. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.
Collapse
Affiliation(s)
- Doron Kabiri
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
- Department of Obstetrics and Gynecology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- 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
- Corresponding authors: Roberto Romero, MD, D.Med.Sci., Perinatology Research Branch, NICHD/NIH/DHHS, Hutzel Women’s Hospital, 3990 John R Street, 4 Brush, Detroit, Michigan 48201; telephone: (313) 993-2700; fax: (313) 577-6294; . Adi L. Tarca, PhD, Perinatology Research Branch, NICHD/NIH/DHHS, Hutzel Women’s Hospital, 3990 John R Street, 4 Brush, Detroit, Michigan 48201; telephone: (313) 577-5305; fax: (313) 577-6294;
| | - Dereje W. Gudicha
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Percy Pacora
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Neta Benshalom-Tirosh
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Dan Tirosh
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Lami Yeo
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Offer Erez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
- Maternity Department “D”, Division of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, faculty of Health Sciences, Ben Gurion University of the Negev, Beer-Sheva, Israel
| | - Sonia S. Hassan
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI
| | - Adi L. Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS)
- 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
| |
Collapse
|
33
|
DeVore GR, Gumina DL, Hobbins JC. Assessment of ventricular contractility in fetuses with an estimated fetal weight less than the tenth centile. Am J Obstet Gynecol 2019; 221:498.e1-498.e22. [PMID: 31153929 DOI: 10.1016/j.ajog.2019.05.042] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 05/22/2019] [Accepted: 05/24/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To determine whether abnormal global, transverse, and longitudinal ventricular contractility of the heart in fetuses with an estimated fetal weight <10th centile is present, irrespective of Doppler studies of the umbilical artery and cerebroplacental ratio. STUDY DESIGN This was a retrospective study of 50 fetuses with an estimated fetal weight <10th centile that were classified based on Doppler results from the pulsatility indices of the umbilical artery and middle cerebral artery, and the calculated cerebroplacental ratio (pulsatility indices of the umbilical artery/middle cerebral artery). Right and left ventricular measurements were categorized into 3 groups: (1) global ventricular contractility (fractional area change), (2) transverse ventricular contractility (24-segment transverse fractional shortening), and (3) basal-apical longitudinal contractility (longitudinal strain, longitudinal displacement fractional shortening, and basal lateral and septal wall annular plane systolic excursion). Z scores for the above measurements were computed for fetuses with an estimated fetal weight <10th centile using the mean and standard deviation derived from normal controls. Ventricular contractility measurements were considered abnormal if their Z score values were <5th centile (z score <-1.65) or >95th centile (Z score >1.65), depending on the specific ventricular measurement. RESULTS The average gestational age at the time of the examination was 32 weeks 4 days (standard deviation 3 weeks 4 days). None of the 50 study fetuses demonstrated absent or reverse flow of the umbilical artery Doppler waveform. Eighty-eight percent (44/50) of fetuses had one or more abnormal measurements of cardiac contractility of 1 or both ventricles. Analysis of right ventricular contractility demonstrated 78% (39/50) to have 1 or more abnormal measurements, which were grouped as follows: global contractility 38% (19/50), transverse contractility 66% (33/50); and longitudinal contractility 48% (24/50). Analysis of left ventricular contractility demonstrated 1 or more abnormal measurements in 58% (29/50) that were grouped as follows: global contractility 38% (19/50); transverse contractility 40% (20/50); and longitudinal contractility 40% (20/50). Of the 50 study fetuses, 25 had normal pulsatility index of the umbilical artery and cerebroplacental ratios, 80% of whom had 1 or more abnormalities of right ventricular contractility and 56% of whom had 1 or more abnormalities of left ventricular contractility. Abnormal ventricular contractility for these fetuses was present in all 3 groups of measurements; global, transverse, and longitudinal. Those with an isolated abnormal pulsatility index of the umbilical artery (n=11) had abnormalities of transverse contractility of the right ventricular and global contractility in the left ventricle. When an isolated cerebroplacental ratio abnormality was present, the right ventricle demonstrated abnormal global, transverse, and longitudinal contractility, with the left ventricle only demonstrating abnormalities in transverse contractility. When both the pulsatility index of the umbilical artery and cerebroplacental ratio were abnormal (3/50), transverse and longitudinal contractility measurements were abnormal for both ventricles, as well as abnormal global contractility of the left ventricle. CONCLUSIONS High rates of abnormal ventricular contractility were present in fetuses with an estimated fetal weight <10th centile, irrespective of the Doppler findings of the pulsatility index of the umbilical artery, and/or cerebroplacental ratio. Abnormalities of ventricular contractility were more prevalent in transverse measurements than global or longitudinal measurements. Abnormal transverse contractility was more common in the right than the left ventricle. Fetuses with estimated fetal weight less than the 10th centile may be considered to undergo assessment of ventricular contractility, even when Doppler measurements of the pulsatility index of the umbilical artery, and cerebroplacental ratio are normal.
Collapse
Affiliation(s)
- Greggory R DeVore
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA; Fetal Diagnostic Centers, Pasadena, Tarzana, and Lancaster, CA.
| | - Diane L Gumina
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Denver, CO
| | - John C Hobbins
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Denver, CO
| |
Collapse
|
34
|
Erkamp JS, Jaddoe VWV, Mulders AGMGJ, Steegers EAP, Reiss IKM, Duijts L, Gaillard R. Customized versus population birth weight charts for identification of newborns at risk of long-term adverse cardio-metabolic and respiratory outcomes: a population-based prospective cohort study. BMC Med 2019; 17:186. [PMID: 31619225 PMCID: PMC6796410 DOI: 10.1186/s12916-019-1424-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 09/11/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Customized birth weight charts take into account physiological maternal characteristics that are known to influence fetal growth to differentiate between physiological and pathological abnormal size at birth. It is unknown whether customized birth weight charts better identify newborns at risk of long-term adverse outcomes than population birth weight charts. We aimed to examine whether birth weight classification according to customized charts is superior to population charts at identification of newborns at risk of adverse cardio-metabolic and respiratory health outcomes. METHODS In a population-based prospective cohort study among 6052 pregnant women and their children, we measured infant catch-up growth, overweight, high blood pressure, hyperlipidemia, liver steatosis, clustering of cardio-metabolic risk factors, and asthma at age 10. Small size and large size for gestational age at birth was defined as birth weight in the lowest or highest decile, respectively, of population or customized charts. Association with birth weight classification was assessed using logistic regression models. RESULTS Of the total of 605 newborns classified as small size for gestational age by population charts, 150 (24.8%) were reclassified as appropriate size for gestational age by customized charts, whereas of the total of 605 newborns classified as large size for gestational age by population charts, 129 (21.3%) cases were reclassified as appropriate size for gestational age by customized charts. Compared to newborns born appropriate size for gestational age, newborns born small size for gestational age according to customized charts had increased risks of infant catch-up growth (odds ratio (OR) 5.15 (95% confidence interval (CI) 4.22 to 6.29)), high blood pressure (OR 2.05 (95% CI 1.55 to 2.72)), and clustering of cardio-metabolic risk factors at 10 years (OR 1.66 (95% CI 1.18 to 2.34)). No associations were observed for overweight, hyperlipidemia, liver steatosis, or asthma. Newborns born large-size for gestational age according to customized charts had higher risk of catch-down-growth only (OR 3.84 (95% CI 3.22 to 4.59)). The direction and strength of the observed associations were largely similar when we used classification according to population charts. CONCLUSIONS Small-size-for-gestational-age newborns seem to be at risk of long-term adverse cardio-metabolic health outcomes, irrespective of the use of customized or population birth weight charts.
Collapse
Affiliation(s)
- Jan S Erkamp
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Annemarie G M G J Mulders
- Department of Obstetrics & Gynaecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eric A P Steegers
- Department of Obstetrics & Gynaecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Irwin K M Reiss
- Division of Neonatology, Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Liesbeth Duijts
- Division of Neonatology, Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Division of Respiratory Medicine and Allergology, Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands. .,Department of Paediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| |
Collapse
|
35
|
Vieira MC, Relph S, Persson M, Seed PT, Pasupathy D. Determination of birth-weight centile thresholds associated with adverse perinatal outcomes using population, customised, and Intergrowth charts: A Swedish population-based cohort study. PLoS Med 2019; 16:e1002902. [PMID: 31539391 PMCID: PMC6754137 DOI: 10.1371/journal.pmed.1002902] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Accepted: 08/19/2019] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Although many studies have compared birth-weight charts to determine which better identify infants at risk of adverse perinatal outcomes, less attention has been given to the threshold used to define small or large for gestational age (SGA or LGA) infants. Our aim was to explore different thresholds associated with increased risk of adverse perinatal outcomes using population, customised, and Intergrowth centile charts. METHODS AND FINDINGS This is a population-based cohort study (Swedish Medical Birth Registry), which included term singleton births between 2006 and 2015 from women with available data on first-trimester screening. Population, customised, and Intergrowth charts were studied. Outcomes included cesarean section, postpartum haemorrhage, severe perineal tear, Apgar score at 5 minutes, neonatal morbidity, and perinatal mortality. Odds for each outcome were assessed in intervals of 5 centiles of birth weight (reference being 40th-60th centiles) using logistic regression. Intervals of 5% of the population were also explored. Sensitivity for fixed false-positive rates (FPRs) was reported for neonatal outcomes. Data from 212,101 births were analysed. Mean age was 33 ± 5 years, 48% of women were nulliparous, and 80% were born in Sweden. Prevalence of SGA (<10th centile) was 10.1%, 10.0%, and 3.1%, and prevalence of LGA (>90th centile) was 10.0%, 8.2%, and 25.1%, assessed using population, customised, and Intergrowth charts, respectively. In small infants, the risk of perinatal mortality was consistently increased below the 15th, 10th, and 35th birth-weight centiles for the respective charts (odds ratio [OR] 1.59, 95% confidence interval [CI] 1.05-2.39, p = 0.03 for 10th-15th population centile; OR 2.54, 95% CI 1.74-3.71, p < 0.001 for 5th-10th customised centile; OR 1.81, 95% CI 1.07-3.04, p = 0.03 for 30th-35th Intergrowth centile). The strength of association with adverse perinatal outcomes was different between infants below the 5th birth-weight centile for each chart (OR 4.47, 95% CI 3.30-6.04, p < 0.001 for the population chart; OR 5.78, 95% CI 4.22-7.91, p < 0.001 for the customised chart; OR 10.74, 95% CI 7.32-15.77, p < 0.001 for the Intergrowth chart) but similar in the smallest 5% of the population (OR 4.34, 95% CI 3.22-5.86, p < 0.001 for the population chart; OR 5.23, 95% CI 3.85-7.11, p < 0.001 for the customised chart; OR 4.69, 95% CI 3.47-6.34, p < 0.001 for the Intergrowth chart). For a fixed FPR of 10%, different thresholds for each chart achieved similar sensitivity for perinatal mortality in small infants (29% for all charts). Similar behaviour of different thresholds and similar risk/sensitivity for fixed FPR were observed in relation to other outcomes and for LGA infants. Limitations of this study include the relative homogeneity of the Swedish population, which limits generalisability to other populations; customised centiles may perform differently in populations with increased heterogeneity of ethnic background. CONCLUSIONS The risk of adverse outcomes was consistent across proportions of the population but did not reflect fixed thresholds, such as the 10th or 90th centiles, across different growth charts. Chart-specific thresholds for the population should be considered in clinical practice.
Collapse
Affiliation(s)
- Matias C. Vieira
- Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
- Department of Obstetrics and Gynaecology, School of Medicine, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Sophie Relph
- Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - Martina Persson
- Department of Medicine, Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden
| | - Paul T. Seed
- Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
| | - Dharmintra Pasupathy
- Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom
- * E-mail:
| |
Collapse
|
36
|
Nahirney M, Chaput KH, Metcalfe A. Assessing the role of maternal race on the prediction of NICU admission by three growth charts: a cross-sectional study. J Matern Fetal Neonatal Med 2019; 34:1233-1240. [PMID: 31189402 DOI: 10.1080/14767058.2019.1631791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND The National Institutes of Health (NIH) race-specific and Intergrowth 21st race-independent fetal growth standards have recently been developed to assess fetal growth although the Alexander reference has been commonly used for over two decades. Societies are becoming increasingly stratified by race, and thus fetal growth effects are increasingly socially-derived. Relatedly, there is discussion surrounding the utility of classifying fetal growth on the basis of ideal growth versus typical growth. Therefore, we aimed to evaluate the classification discrepancies for small for gestational age (SGA) or large for gestational age (LGA) infants between growth charts, stratified by maternal race; and to determine which chart most accurately identifies vulnerable infants requiring NICU (Neonatal Intensive Care Unit) admission. METHODS This cross-sectional study examined singleton liveborn infants born between 33 and 42 weeks of gestation with a self-identified White, Black, Hispanic, or Asian mother. Data were obtained from the 2014 National Centre of Health Statistics' Vital Statistics Natality files. SGA infants were considered those <10th percentile and LGA were those >90th percentile, for each growth chart. SGA and LGA classification by maternal race was evaluated using stratified analysis and logistic regression. Odds ratios and goodness of fit characteristics were assessed to determine which chart best predicted NICU admission. RESULTS In our sample of 3,782,660 singleton infants, significantly different proportions of infants were classified SGA/LGA using the Alexander (SGA: 4.6%, LGA:19.4%), Intergrowth 21st (SGA: 4.0%, LGA:19.6%), and NIH (SGA: 9.8%, LGA: 8.5%) charts. Race-specific classification of SGA differed by race and chart; there was an 8.4% difference in white infants considered SGA by Intergrowth (3.3; 95% CI, 3.2-3.3) compared to NIH (11.7%; 95% CI, 11.6-11.7). The NIH and Intergrowth 21st charts were typically in agreement for both SGA and LGA, differing substantially from the Alexander reference; however, there were significant differences between Intergrowth and NIH for proportions of SGA (NIH: 10.2%, CI 95%, 10.1-10.2; Intergrowth: 4.0%, CI 95%, 3.9-4.0) and LGA (NIH: 6.3%, CI 95%, 6.3-6.4; Intergrowth: 19.6%, CI 95%, 19.5-19.6) infants. Overall, 11.1% of Black infants were considered SGA by NIH and 6.8% by Intergrowth-more often than other races. Intergrowth classified the fewest infants as SGA and Alexander classified the most as SGA for all races. While NIH was better at discriminating LGA (OR: 2.72) and SGA-associated (OR: 1.71) NICU admissions compared to other charts, no standard was a significantly better predictor of NICU admission. CONCLUSION Since the NIH standard identified the fewest LGA infants and the Intergrowth 21st standard identified the fewest SGA infants, these charts may have been better identifiers of infants on either extreme of growth. The agreement between NIH and Intergrowth 21st charts suggest their interchangeable use for healthy populations, but the NIH may be more applicable given its racial stratification. However, the differences in proportions of SGA/LGA infants among the three charts according to maternal race introduce significant clinical ambiguity when identifying vulnerable infants. Additionally, no chart was able to accurately identify vulnerable infants and the dataset did not permit differentiation between growth-restricted and constitutionally small infants. Further work is necessary before selecting a true gold standard for use in routine clinical practice.
Collapse
Affiliation(s)
- Marissa Nahirney
- Department of Obstetrics and Gynecology, University of Calgary, Calgary, Canada
| | | | - Amy Metcalfe
- Department of Obstetrics and Gynecology, University of Calgary, Calgary, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, Canada.,Department of Medicine, University of Calgary, Calgary, Canada
| |
Collapse
|
37
|
Savirón-Cornudella R, Esteban LM, Tajada-Duaso M, Castán-Mateo S, Dieste-Pérez P, Cotaina-Gracia L, Lerma-Puertas D, Sanz G, Pérez-López FR. Detection of Adverse Perinatal Outcomes at Term Delivery Using Ultrasound Estimated Percentile Weight at 35 Weeks of Gestation: Comparison of Five Fetal Growth Standards. Fetal Diagn Ther 2019; 47:104-114. [PMID: 31212273 DOI: 10.1159/000500453] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 04/16/2019] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To assess the predictive ability of the ultrasound estimated percentile weight (EPW) at 35 weeks of pregnancy to predict adverse perinatal outcomes (APOs) at term delivery according to 5 fetal growth standards, including population, population-customized, and international references. METHODS This was a retrospective cohort study of 9,585 singleton pregnancies. Maternal clinical characteristics, fetal ultrasound data obtained at 35 weeks and pregnancy and perinatal outcomes were used to calculate EPWs to predict APOs according to: the customized and noncustomized (NC) Miguel Servet University Hospital (MSUH), the customized Figueras, the NC INTERGROWTH-21st, and the NC World Health Organization (WHO) international standards. APOs were defined as the occurrence of cesarean or instrumental delivery for nonreassuring fetal status, 5-min Apgar score < 7, arterial cord blood pH <7.10, or stillbirth. The predictive ability of EPW for APOs was analyzed using the area under the curve (AUC), and sensitivities were calculated for different false-positive rates (FPRs). RESULTS For a 10% FPR, detection rates for total APOs ranged between 12.7% with the customized MSUH (AUC 0.52; 95% CI 0.50-0.55) and 14.4% with the NC MSUH standard (AUC 0.55; 95% CI 0.53-0.57) for EPW by ultrasound; and from 22.0% with the customized MSUH standard (AUC 0.60; 95% CI 0.58-0.63) to 27.8% with the NC WHO (AUC 0.65; 95% CI 0.63-0.68) for EPW at delivery. CONCLUSIONS The predictive capacity of the EPW for APOS is limited and similar, by both ultrasound and at delivery, for the 5 growth standards, without significant differences between customized and NC standards.
Collapse
Affiliation(s)
| | - Luis M Esteban
- Escuela Universitaria Politécnica de La Almunia, University of Zaragoza, Zaragoza, Spain
| | - Mauricio Tajada-Duaso
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain,
| | - Sergio Castán-Mateo
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain
| | - Peña Dieste-Pérez
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain
| | - Laura Cotaina-Gracia
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain
| | - Diego Lerma-Puertas
- Department of Obstetrics and Gynecology, Miguel Servet University Hospital, Zaragoza, Spain
| | - Gerardo Sanz
- Department of Statistical Methods and Institute for Biocomputation and Physics of Complex Systems-BIFI, University of Zaragoza, Zaragoza, Spain
| | - Faustino R Pérez-López
- Department of Obstetrics and Gynecology, University of Zaragoza Faculty of Medicine and Lozano-Blesa University Hospital, Zaragoza, Spain
| |
Collapse
|
38
|
Caradeux J, Martinez-Portilla RJ, Peguero A, Sotiriadis A, Figueras F. Diagnostic performance of third-trimester ultrasound for the prediction of late-onset fetal growth restriction: a systematic review and meta-analysis. Am J Obstet Gynecol 2019; 220:449-459.e19. [PMID: 30633918 DOI: 10.1016/j.ajog.2018.09.043] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 08/25/2018] [Accepted: 09/04/2018] [Indexed: 12/19/2022]
Abstract
OBJECTIVE The objective of the study was to establish the diagnostic performance of ultrasound screening for predicting late smallness for gestational age and/or fetal growth restriction. DATA SOURCES A systematic search was performed to identify relevant studies published since 2007 in English, Spanish, French, Italian, or German, using the databases PubMed, ISI Web of Science, and SCOPUS. STUDY ELIGIBILITY CRITERIA We used rrospective and retrospective cohort studies in low-risk or nonselected singleton pregnancies with screening ultrasound performed at ≥32 weeks of gestation. STUDY APPRAISAL AND SYNTHESIS METHODS The estimated fetal weight and fetal abdominal circumference were assessed as index tests for the prediction of birthweight <10th (i.e. smallness for gestational age), less than the fifth, and less than the third centile and fetal growth restriction (estimated fetal weight less than the third or estimated fetal weight <10th plus Doppler signs). Quality of the included studies was independently assessed by 2 reviewers, using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. For the meta-analysis, hierarchical summary receiver-operating characteristic curves were constructed, and quantitative data synthesis was performed using random-effects models. The sensitivity of the abdominal circumference <10th centile and estimated fetal weight <10th centile for a fixed 10% false-positive rate was derived from the corresponding hierarchical summary receiver-operating characteristic curves. Heterogeneity between studies was visually assessed using Galbraith plots, and publication bias was assessed by funnel plots and quantified by Deeks' method. RESULTS A total of 21 studies were included. Observed pooled sensitivities of abdominal circumference and estimated fetal weight <10th centile for birthweight <10th centile were 35% (95% confidence interval, 20-52%) and 38% (95% confidence interval, 31-46%), respectively. Observed pooled specificities were 97% (95% confidence interval, 95-98%) and 95% (95% confidence interval, 93-97%), respectively. Modeled sensitivities of abdominal circumference and estimated fetal weight <10th centile for 10% false-positive rate were 78% (95% confidence interval, 61-95%) and 54% (95% confidence interval, 46-52%), respectively. The sensitivity of estimated fetal weight <10th centile was better when aimed to fetal growth restriction than to smallness for gestational age. Meta-regression analysis showed a significant increase in sensitivity when ultrasound evaluation was performed later in pregnancy (P = .001). CONCLUSION Third-trimester abdominal circumference and estimated fetal weight perform similar in predicting smallness for gestational age. However, for a fixed 10% false-positive rate extrapolated sensitivity is higher for abdominal circumference. There is evidence of better performance when the scan is performed near term and when fetal growth restriction is the targeted condition.
Collapse
|
39
|
Ananth CV, Brandt JS, Vintzileos AM. Standard vs population reference curves in obstetrics: which one should we use? Am J Obstet Gynecol 2019; 220:293-296. [PMID: 30948038 DOI: 10.1016/j.ajog.2019.02.060] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 02/18/2019] [Accepted: 02/27/2019] [Indexed: 11/15/2022]
Affiliation(s)
- Cande V Ananth
- Division of Epidemiology and BiostatisticsDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ; Environmental and Occupational Health Sciences Institute, Rutgers Robert Wood Johnson Medical School, Piscataway, NJ.
| | - Justin S Brandt
- Division of Maternal-Fetal MedicineDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Anthony M Vintzileos
- Department of Obstetrics and Gynecology, NYU Winthrop Hospital, NYU Long Island School of Medicine, Mineola, NY
| |
Collapse
|
40
|
A Comparison of Prediction of Adverse Perinatal Outcomes between Hadlock and INTERGROWTH-21 st Standards at the Third Trimester. BIOMED RESEARCH INTERNATIONAL 2019; 2019:7698038. [PMID: 30729130 PMCID: PMC6343179 DOI: 10.1155/2019/7698038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 12/11/2018] [Accepted: 12/26/2018] [Indexed: 11/17/2022]
Abstract
Little is known about the clinical value of the Hadlock and INTERGROWTH-21st EFW standards for predicting adverse perinatal outcomes (APOs) in the third trimester. The purpose of this study was to study the association between low estimated fetal weight percentile (EFWc) in the third trimester and the risk of APOs and compare predictions of APOs between Hadlock and INTERGROWTH-21st EFW standards. A prospective cohort of 690 singleton pregnancies with ultrasonography performed in the third trimester between March 2015 and March 2016 in China was conducted. EFW and the corresponding EFWc were measured using the Hadlock and INTERGROWTH-21st standards, respectively. Cox proportional hazard models were used to assess the relationship between low EFWc (i.e., <5 percentile, P5) and the risk of APOs. Compared with fetuses with ≥P5 of the EFWc, fetuses with <P5 of the EFWc were much more likely to have an APO, with adjusted hazard ratios of 35.0 (95% confidence interval, 13.9-88.5) and 17.5 (7.7-39.6) for the Hadlock and INTERGROWTH standards, respectively. The Hadlock-EFWc had a higher predictive accuracy for APOs than the INTERGROWTH-EFWc, with area under the receiver operating characteristic curve of 0.94 (0.92-0.95) and 0.90 (0.87-0.92), respectively (P=0.007). The cutoff value for the INTERGROWTH-EFWc was percentile 11.61 with a sensitivity and specificity of 87.9% and 80.5%, respectively. For the Hadlock-EFWc, the corresponding sensitivity and specificity were 93.9% and 81.2%, with a cutoff value of percentile 8.65. Fetuses with low EFWc (i.e., <P5) were associated with an increased risk of APOs. APOs were more accurately predicted when EFWc was measured by the Hadlock standard than by the INTERGROWTH-21st standard.
Collapse
|
41
|
Boghossian NS, Geraci M, Edwards EM, Horbar JD. Neonatal and fetal growth charts to identify preterm infants <30 weeks gestation at risk of adverse outcomes. Am J Obstet Gynecol 2018; 219:195.e1-195.e14. [PMID: 29750954 DOI: 10.1016/j.ajog.2018.05.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 04/30/2018] [Accepted: 05/02/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND It is unclear whether a neonatal or a fetal growth standard is a better predictor of adverse in-hospital newborn infant outcomes. OBJECTIVE We aimed to evaluate and compare the power of birthweight for gestational age to predict adverse neonatal outcomes using neonatal and fetal growth charts. Gestational age-specific birthweight was examined either as a percentile score or as a binary indicator for birthweight <10th percentile (small for gestational age) with the use of 3 fetal growth charts (National Institute of Child Health and Human Development, World Health Organization, and Intergrowth-21st) and 1 neonatal sex-specific birthweight chart. STUDY DESIGN Inborn singleton infants from 2006-2014 with gestational age between 22 and 29 weeks and who were enrolled at 1 of the 852 US centers that were participating in the Vermont Oxford Network were studied. Outcomes included death, necrotizing enterocolitis, severe intraventricular hemorrhage, severe retinopathy of prematurity, and chronic lung disease. Receiver operating characteristic curve analysis was used to assess the predictive power of birthweight for gestational age, either as a score or as a small-for-gestational-age indicator, with the use of the 4 charts. We also examined the relative risks of the outcomes by comparing small-for-gestational-age and non-small-for-gestational-age infants with the use of the 4 charts. RESULTS The percentage of small-for-gestational-age newborn infants ranged from 25.9-29.7% when with used the fetal growth charts. In contrast, the percentage was 10% when we used the neonatal charts. The areas under the receiver operating characteristic curves were similar across the 4 classification methods and were all <0.60, which suggests a poor predictive power. Small-for-gestational-age status, as classified by the neonatal chart, showed stronger associations with death, necrotizing enterocolitis, severe retinopathy of prematurity, and chronic lung disease, compared with those associations that were based on the other classification methods. CONCLUSION Neither the neonatal nor the fetal growth charts are predictive of adverse infant in-hospital outcomes. In contrast to fetal charts, the use of the neonatal charts results in stronger associations between small-for-gestational-age and adverse outcomes.
Collapse
|
42
|
Madden JV, Flatley CJ, Kumar S. Term small-for-gestational-age infants from low-risk women are at significantly greater risk of adverse neonatal outcomes. Am J Obstet Gynecol 2018; 218:525.e1-525.e9. [PMID: 29462628 DOI: 10.1016/j.ajog.2018.02.008] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/31/2018] [Accepted: 02/08/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Small-for-gestational-age infants (birthweight <0th centile) are at increased risk of perinatal complications but are frequently not identified antenatally, particularly in low-risk women delivering at term (≥37 weeks gestation). This is compounded by the fact that late pregnancy ultrasound is not the norm in many jurisdictions for this cohort of women. We thus investigated the relationship between birthweight <10th centile and serious neonatal outcomes in low-risk women at term. OBJECTIVE(S) We aimed to determine whether there is a difference of obstetric and perinatal outcomes for small-for-gestational-age infants, subdivided into fifth to <10th centile and less than the fifth centile cohorts compared with an appropriate-for-gestational age (birthweight 10th-90th centile) group at term. STUDY DESIGN This was a retrospective analysis of data from the Mater Mother's Hospital in Brisbane, Australia, for women who delivered between January 2000 and December 2015. Women with multiple pregnancy, diabetes mellitus, hypertension, preterm birth, major congenital anomalies, and large for gestational age infants (>90th centile for gestational age) were excluded. Small-for-gestational-age infants were subdivided into 2 cohorts: infants with birthweights from the fifth to <10th centile and those less than the fifth centile. Serious composite neonatal morbidity was defined as any of the following: Apgar score ≤3 at 5 minutes, respiratory distress syndrome, acidosis, admission into the neonatal intensive care unit, stillbirth, or neonatal death. Univariate and multivariate analyses were performed using generalized estimating equations to compare obstetric and perinatal outcomes for small-for-gestational-age infants compared with appropriate-for-gestational age controls. RESULTS The final study comprised 95,900 infants. Five percent were between the fifth and <10th centiles for birthweight and 4.3% were less than the fifth centile. The rate of serious composite neonatal morbidity was 11.1% in the control group, 13.7% in the fifth and <10th centile, and 22.6% in the less than the fifth centile cohorts, respectively. Even after controlling for confounders, both the fifth to <10th centiles and less than the fifth centile cohorts were at significantly increased risk of serious composite neonatal morbidity compared with controls (odds ratio, 1.25, 95% confidence interval, 1.15-1.37, and odds ratio, 2.20, 95% confidence interval, 2.03-2.39, respectively). Infants with birthweights <10th centile were more likely to have severe acidosis at birth, 5 minute Apgar score ≤3 and to be admitted to the neonatal intensive care unit. The serious composite neonatal morbidity was higher in infants less than the fifth centile compared with those in the fifth to <10th centile cohort (odds ratio, 1.71, 95% confidence interval, 1.52-1.92). The odds of perinatal death (stillbirth and neonatal death) were significantly higher in both small-for-gestational age groups than controls. After stratification for gestational age at birth, the composite outcome remained significantly higher in both small-for-gestational-age cohorts and was highest in the less than the fifth centile group at 37+0 to 38+6 weeks (odds ratio, 3.32, 95% confidence interval, 2.87-3.85). The risk of perinatal death was highest for infants less than the fifth centile at 37+0 to 38+6 weeks (odds ratio, 5.50, 95% confidence interval, 2.33-12.98). CONCLUSION Small-for-gestational-age infants from term, low-risk pregnancies are at significantly increased risk of mortality and morbidity when compared with appropriate-for-gestational age infants. Although this risk is increased at all gestational ages in infants less than the fifth centile for birthweight, it is highest at early-term gestation. Our findings highlight that early-term birth does not necessarily improve outcomes and emphasize the importance of identifying this cohort of infants.
Collapse
Affiliation(s)
- Jessie V Madden
- Mater Research Institute-University of Queensland, Queensland, Australia; School of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | | | - Sailesh Kumar
- Mater Research Institute-University of Queensland, Queensland, Australia; Mater Mothers' Hospital, South Brisbane, Queensland, Australia; School of Medicine, University of Queensland, Brisbane, Queensland, Australia.
| |
Collapse
|
43
|
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: 28] [Impact Index Per Article: 4.7] [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.
Collapse
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
| |
Collapse
|