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Gleason JL, Lee W, Chen Z, Wagner KA, He D, Grobman WA, Newman RB, Sherman S, Gore-Langton R, Chien E, Goncalves L, Grantz KL. Fetal Body Composition in Twins and Singletons. JAMA Pediatr 2025:2832263. [PMID: 40193121 PMCID: PMC11976649 DOI: 10.1001/jamapediatrics.2025.0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 01/08/2025] [Indexed: 04/10/2025]
Abstract
Importance An emerging paradigm attributes third-trimester fetal growth deceleration in uncomplicated twin pregnancies to an evolutionary adaptive process. Evaluating longitudinal fetal soft-tissue development may provide important insights into differential fetal growth trajectories between twins and singletons. Objective To compare twin vs singleton lean and fat tissue growth across pregnancy. Design, Setting, and Participants Prospective cohort study of dichorionic twins and singletons with serial ultrasound scans to chart fetal growth (2009-2013) and collect fetal volume data to measure fat and lean tissue (2015-2019) in 12 US clinical centers. Participants were individuals with singleton (n = 2802 enrolled) and twin (n = 171 pairs enrolled) pregnancies who generally had no chronic disease. Data analysis was performed from September 2023 to June 2024. Exposure Twin status. Main Outcomes and Measures Abdominal area, maximum abdominal subcutaneous tissue thickness, fractional thigh volume, fractional lean thigh volume, fractional fat thigh volume, midthigh area (including lean and fat components), ratio of fractional fat thigh volume to fractional thigh volume, and ratio of midthigh fat area to midthigh area, measured up to 6 times between 15 and 37 weeks' gestation. Results Analyses included 315 twin and 2604 singleton fetuses. The mean (SD) maternal age at delivery was 31.3 (6.1) years for twins and 28.2 (5.5) years for singletons, with a mean (SD) gestational age at delivery of 35.2 (4.2) weeks for twins and 39.2 (1.7) weeks for singletons. Mean twin abdominal measurements were significantly smaller than those of singletons between 25 and 37 weeks' gestation for area (difference at 25 weeks, -48.6 [95% CI, -102.2 to -5.1] mm2; difference at 37 weeks, -480.5 [95% CI, -677.2 to -283.5] mm2) and between 27 and 37 weeks for maximum abdominal subcutaneous tissue thickness (difference at 27 weeks, -0.13 [95% CI, -0.24 to -0.02] mm; difference at 37 weeks, -0.40 [95% CI, -0.68 to -0.13] mm). Beginning at 15 weeks, fractional thigh volumes were significantly smaller for twins (mean fractional thigh volume difference, -0.11 [95% CI, -0.16 to -0.07] cm3; mean fractional fat thigh volume difference, -0.08 [95% CI,-0.12 to -0.05] cm3) relative to singletons, persisting through 37 weeks (mean fractional thigh volume difference, -7.55 [95% CI, -11.76 to -3.34] cm3; mean fractional fat thigh volume difference, -5.60 [95% CI, -8.37 to -2.82] cm3). Mean fractional lean thigh volume was significantly smaller for twins at 15 to 16 and 23 to 36 weeks. For the ratio of fractional fat thigh volume to fractional thigh volume, twins had a 2.7% to 4.2% smaller fat percentage between 15 and 37 weeks compared with singletons. Conclusions and Relevance Twins had proportionally less fat tissue accumulation in utero compared with singletons as early as 15 weeks' gestation, when competition for nutritional resources was low. Persistent findings of smaller twin sizes and less fat accumulation across pregnancy support the concept of an early evolutionary adaptive process in otherwise uncomplicated dichorionic twin growth.
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Affiliation(s)
- Jessica L. Gleason
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Wesley Lee
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas
| | - Zhen Chen
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Kathryn A. Wagner
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Dian He
- The Prospective Group Inc, Fairfax, Virginia
| | - William A. Grobman
- Department of Obstetrics and Gynecology, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Roger B. Newman
- Department of Obstetrics and Gynecology, Division of Reproductive Sciences, Medical University of South Carolina, Charleston
| | | | | | - Edward Chien
- Department of Obstetrics and Gynecology, Cleveland Clinic, Cleveland, Ohio
| | - Luis Goncalves
- Department of Radiology, Phoenix Children’s Hospital, Phoenix, Arizona
| | - Katherine L. Grantz
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
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Grantz KL, Lee W, Mack LM, Sanz Cortes M, Goncalves LF, Espinoza J, Newman RB, Grobman WA, Wapner RJ, Fuchs K, D'Alton ME, Skupski DW, Owen J, Sciscione A, Wing DA, Nageotte MP, Ranzini AC, Chien EK, Craigo S, Sherman S, Gore-Langton RE, He D, Tekola-Ayele F, Zhang C, Grewal J, Chen Z. Multiethnic growth standards for fetal body composition and organ volumes derived from 3D ultrasonography. Am J Obstet Gynecol 2025; 232:324.e1-324.e160. [PMID: 38838912 PMCID: PMC11612034 DOI: 10.1016/j.ajog.2024.05.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/24/2024] [Accepted: 05/24/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND A major goal of contemporary obstetrical practice is to optimize fetal growth and development throughout pregnancy. To date, fetal growth during prenatal care is assessed by performing ultrasonographic measurement of 2-dimensional fetal biometry to calculate an estimated fetal weight. Our group previously established 2-dimensional fetal growth standards using sonographic data from a large cohort with multiple sonograms. A separate objective of that investigation involved the collection of fetal volumes from the same cohort. OBJECTIVE The Fetal 3D Study was designed to establish standards for fetal soft tissue and organ volume measurements by 3-dimensional ultrasonography and compare growth trajectories with conventional 2-dimensional measures where applicable. STUDY DESIGN The National Institute of Child Health and Human Development Fetal 3D Study included research-quality images of singletons collected in a prospective, racially and ethnically diverse, low-risk cohort of pregnant individuals at 12 U.S. sites, with up to 5 scans per fetus (N=1730 fetuses). Abdominal subcutaneous tissue thickness was measured from 2-dimensional images and fetal limb soft tissue parameters extracted from 3-dimensional multiplanar views. Cerebellar, lung, liver, and kidney volumes were measured using virtual organ computer aided analysis. Fractional arm and thigh total volumes, and fractional lean limb volumes were measured, with fractional limb fat volume calculated by subtracting lean from total. For each measure, weighted curves (fifth, 50th, 95th percentiles) were derived from 15 to 41 weeks' using linear mixed models for repeated measures with cubic splines. RESULTS Subcutaneous thickness of the abdomen, arm, and thigh increased linearly, with slight acceleration around 27 to 29 weeks. Fractional volumes of the arm, thigh, and lean limb volumes increased along a quadratic curvature, with acceleration around 29 to 30 weeks. In contrast, growth patterns for 2-dimensional humerus and femur lengths demonstrated a logarithmic shape, with fastest growth in the second trimester. The mid-arm area curve was similar in shape to fractional arm volume, with an acceleration around 30 weeks, whereas the curve for the lean arm area was more gradual. The abdominal area curve was similar to the mid-arm area curve with an acceleration around 29 weeks. The mid-thigh and lean area curves differed from the arm areas by exhibiting a deceleration at 39 weeks. The growth curves for the mid-arm and thigh circumferences were more linear. Cerebellar 2-dimensional diameter increased linearly, whereas cerebellar 3-dimensional volume growth gradually accelerated until 32 weeks followed by a more linear growth. Lung, kidney, and liver volumes all demonstrated gradual early growth followed by a linear acceleration beginning at 25 weeks for lungs, 26 to 27 weeks for kidneys, and 29 weeks for liver. CONCLUSION Growth patterns and timing of maximal growth for 3-dimensional lean and fat measures, limb and organ volumes differed from patterns revealed by traditional 2-dimensional growth measures, suggesting these parameters reflect unique facets of fetal growth. Growth in these three-dimensional measures may be altered by genetic, nutritional, metabolic, or environmental influences and pregnancy complications, in ways not identifiable using corresponding 2-dimensional measures. Further investigation into the relationships of these 3-dimensional standards to abnormal fetal growth, adverse perinatal outcomes, and health status in postnatal life is warranted.
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Affiliation(s)
- Katherine L Grantz
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
| | - Wesley Lee
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX
| | - Lauren M Mack
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX
| | | | - Luis F Goncalves
- Department of Radiology, Phoenix Children's Hospital, Phoenix, AZ; Departments of Child Health and Radiology, University of Arizona College of Medicine, Phoenix, AZ; Department of Radiology, Mayo Clinic, Phoenix, AZ; Department of Radiology, Creighton University, Phoenix, AZ
| | - Jimmy Espinoza
- Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center Houston (UTHealth)
| | - Roger B Newman
- Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC
| | - William A Grobman
- Department of Obstetrics and Gynecology, The Ohio State University Wexner Medical Center
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY
| | - Karin Fuchs
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY
| | - Mary E D'Alton
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY
| | | | - John Owen
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL
| | - Anthony Sciscione
- Department of Obstetrics and Gynecology, Thomas Jefferson School of Medicine
| | - Deborah A Wing
- University of California, Irvine, Orange, CA; Fountain Valley Regional Hospital and Medical Center, Fountain Valley, CA
| | - Michael P Nageotte
- Miller Children's and Women's Hospital Long Beach/Long Beach Memorial Medical Center, Long Beach, CA
| | - Angela C Ranzini
- Women and Infants Hospital of Rhode Island; Saint Peter's University Hospital, New Brunswick, NJ
| | - Edward K Chien
- Women and Infants Hospital of Rhode Island; Case Western Reserve University, Cleveland Clinic Health System, Cleveland, OH
| | - Sabrina Craigo
- Department of Obstetrics and Gynecology, Tufts Medical Center, Boston, MA
| | | | | | - Dian He
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; The Prospective Group, Inc, Fairfax, VA
| | - Fasil Tekola-Ayele
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Cuilin Zhang
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Global Center for Asian Women's Health (GloW) and Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jagteshwar Grewal
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Zhen Chen
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX
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Nakahra A, Long M, Elmayan A, Biggio JR, Williams FB. Expanded Fetal Growth Restriction Definition Identifies High Proportion of Umbilical Artery Doppler Anomalies. Am J Perinatol 2025; 42:526-532. [PMID: 39374904 DOI: 10.1055/a-2435-0468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/09/2024]
Abstract
OBJECTIVE Fetal growth restriction (FGR) increases the risk for perinatal morbidity and mortality. The Society for Maternal-Fetal Medicine expanded the definition of FGR to independently include abdominal circumference (AC) < 10th percentile for gestational age (GA), regardless of estimated fetal weight (EFW). While studies have shown increased detection of small for GA neonates with expanded definition, no studies have evaluated the likelihood of abnormal umbilical artery Dopplers (UAD) detection with expanded definition. The objective of this study was to compare the likelihood of identifying UAD abnormalities in fetuses with normal EFW and restricted AC versus those by EFW alone. STUDY DESIGN Single-institution retrospective cohort study of fetal growth ultrasounds meeting criteria for FGR either by EFW < 10th percentile or AC < 10th percentile with normal EFW. Those with FGR by AC alone were compared with those with FGR by EFW. Primary outcome was prevalence of UAD abnormalities, including elevated systolic/diastolic ratio, and absent and/or reversed end diastolic velocity. Receiver operator characteristic curves were generated to compare predictive value of UAD abnormalities by FGR definition. RESULTS A total of 619 scans met criteria for FGR between November 2020 and June 2021, with 441 (71%) meeting definition by EFW and 178 (29%) by AC criteria alone. Baseline characteristics were similar between groups. FGR by AC alone was identified earlier (30.4 ± 3.3 vs. 35.4 ± 3.0 weeks' gestation, p < 0.001) with higher proportion identified before 32 weeks (70 vs. 11%, p < 0.001). Proportion of abnormal UAD were similar between groups (15 vs. 15%, adjusted odds ratio: 1.12, 95% confidence interval: 0.61-2.23). Use of EFW alone would have failed to identify 29% of abnormal UAD. A combined definition of FGR had the highest detection of abnormal UAD (area under curve: 0.78 vs. AC alone 0.73 vs. EFW alone 0.69). CONCLUSION A definition of FGR that considers both EFW and AC improves detection of abnormal UAD. KEY POINTS · Fetuses with restricted AC are equally likely to exhibit abnormal UAD indices compared with those that meet criteria by EFW.. · Earlier GA of FGR detection and improved detection of abnormal UAD with expanded growth definition.. · Expanded definition of FGR significantly improves detection of abnormal UAD as compared with those diagnosed with EFW criteria alone.. · Expanded growth restriction definition improves Doppler identification..
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Affiliation(s)
- Angela Nakahra
- Department of Obstetrics and Gynecology, Ochsner Health, New Orleans, Louisiana
| | - Miranda Long
- Department of Obstetrics and Gynecology, Ochsner Health, New Orleans, Louisiana
| | - Ardem Elmayan
- Department of Research Information Analytics, Ochsner Health, New Orleans, Louisiana
| | - Joseph R Biggio
- Department of Obstetrics and Gynecology, Ochsner Health, New Orleans, Louisiana
| | - Frank B Williams
- Department of Obstetrics and Gynecology, Ochsner Health, New Orleans, Louisiana
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Jung C, Torchin H, Jarreau PH, Ancel PY, Baud O, Guillier C, Marchand-Martin L, Wodecki A, Zana-Taïeb E, Tréluyer L. Early respiratory features of small for gestational age very preterm children. Eur J Pediatr 2024; 184:54. [PMID: 39612049 DOI: 10.1007/s00431-024-05891-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2024] [Revised: 11/07/2024] [Accepted: 11/16/2024] [Indexed: 11/30/2024]
Abstract
The short-term respiratory consequences of small for gestational (SGA) are only partially known. Our aim was to compare the early respiratory features between SGA and appropriate for gestational age (AGA) in very preterm infants. We conducted a secondary analysis of the French prospective EPIPAGE-2 cohort. Eligible children were those born alive before 32 weeks' gestation. The exposed group consisted of children with SGA. The unexposed group consisted of AGA children. SGA and AGA children were randomly matched in a ratio of 1:1 on the same gestational age and sex. Primary outcomes were age at final extubation and age at weaning from any respiratory support. Among 3.964 very preterm from the EPIPAGE2 cohort, 1123 SGA and 1123 AGA very preterm children were included in the study. The median gestational age was 30.0 weeks (interquartile range 28.0-31.0) in both groups. The median birthweight was 1440 g (1138-1680) in the AGA group and 1000 g (780-1184) in the SGA group. Invasive mechanical ventilation was less common in the SGA than in the AGA group: 68.6% (770/1123) versus 72.0% (808/1062), odds ratio 0.85 (95% CI [0.72-1.00]). In cases of mechanical ventilation, median age at final extubation was 4 days (1-23) and 2 days (1-9) in the SGA and AGA groups. Median postmenstrual age at weaning from any respiratory support was 33.4 weeks (31.7-35.9) in the SGA group and 32.4 weeks (31.4-34.3) in the AGA group. CONCLUSION SGA is associated with delayed extubation and respiratory support weaning. WHAT IS KNOWN • Small for gestational age concerns more than 30% of very preterm children. • The condition is strongly associated with increased neonatal mortality and morbidity, including bronchopulmonary dysplasia. WHAT IS NEW • Small for gestational age is associated with delayed extubation and respiratory support weaning in very preterm children. • Shortening invasive mechanical ventilation as much as possible is a crucial issue in this population to try to reduce the risk of bronchopulmonary dysplasia.
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Affiliation(s)
- Camille Jung
- Department of Neonatal Medicine, Assistance Publique-Hôpitaux de Paris, Armand Trousseau University Hospital, Sorbonne Université, Paris, France
| | - Héloïse Torchin
- Department of Neonatal Medicine of Port Royal, Cochin Hospital, FHU PREMA, AP-HP Centre, Université Paris Cité, Paris, France
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPE, French Institute for Medical Research and Health INSERM, INRAE, Université Paris Cite, 123, Boulevard de Port Royal, 75014, Paris, France
| | - Pierre-Henri Jarreau
- Department of Neonatal Medicine of Port Royal, Cochin Hospital, FHU PREMA, AP-HP Centre, Université Paris Cité, Paris, France
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPE, French Institute for Medical Research and Health INSERM, INRAE, Université Paris Cite, 123, Boulevard de Port Royal, 75014, Paris, France
| | - Pierre-Yves Ancel
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPE, French Institute for Medical Research and Health INSERM, INRAE, Université Paris Cite, 123, Boulevard de Port Royal, 75014, Paris, France
- Clinical Investigation Center CIC P1419, Assistance Publique-Hôpitaux de Paris, GH Paris Centre, Université Paris Cité, 75 000, Paris, France
| | - Olivier Baud
- Department of Neonatal Medicine of Port Royal, Cochin Hospital, FHU PREMA, AP-HP Centre, Université Paris Cité, Paris, France
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPE, French Institute for Medical Research and Health INSERM, INRAE, Université Paris Cite, 123, Boulevard de Port Royal, 75014, Paris, France
- Inserm U1141, University Paris-Cité, Paris, France
| | - Cyril Guillier
- Paediatric Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Armand Trousseau University Hospital, Sorbonne Université, Paris, France
| | - Laetitia Marchand-Martin
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPE, French Institute for Medical Research and Health INSERM, INRAE, Université Paris Cite, 123, Boulevard de Port Royal, 75014, Paris, France
| | - Alexandra Wodecki
- Department of Neonatal Medicine, Centre Hospitalier Intercommunal de Poissy, Poissy, France
| | - Elodie Zana-Taïeb
- Department of Neonatal Medicine of Port Royal, Cochin Hospital, FHU PREMA, AP-HP Centre, Université Paris Cité, Paris, France
- Inserm U955, Université Paris Cité, Paris, France
| | - Ludovic Tréluyer
- Department of Neonatal Medicine of Port Royal, Cochin Hospital, FHU PREMA, AP-HP Centre, Université Paris Cité, Paris, France.
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPE, French Institute for Medical Research and Health INSERM, INRAE, Université Paris Cite, 123, Boulevard de Port Royal, 75014, Paris, France.
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5
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Knox B, Güil-Oumrait N, Basagaña X, Cserbik D, Dadvand P, Foraster M, Galmes T, Gascon M, Dolores Gómez-Roig M, Gómez-Herrera L, Småstuen Haug L, Llurba E, Márquez S, Rivas I, Sunyer J, Thomsen C, Julia Zanini M, Bustamante M, Vrijheid M. Prenatal exposure to per- and polyfluoroalkyl substances, fetoplacental hemodynamics, and fetal growth. ENVIRONMENT INTERNATIONAL 2024; 193:109090. [PMID: 39454342 DOI: 10.1016/j.envint.2024.109090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 09/25/2024] [Accepted: 10/18/2024] [Indexed: 10/28/2024]
Abstract
INTRODUCTION The impact of legacy per- and polyfluoroalkyl substances (PFAS) on fetal growth has been well studied, but assessments of next-generation PFAS and PFAS mixtures are sparse and the potential role of fetoplacental hemodynamics has not been studied. We aimed to evaluate associations between prenatal PFAS exposure and fetal growth and fetoplacental hemodynamics. METHODS We included 747 pregnant women from the BiSC birth cohort (Barcelona, Spain (2018-2021)). Twenty-three PFAS were measured at 32 weeks of pregnancy in maternal plasma, of which 13 were present above detectable levels. Fetal growth was measured by ultrasound, as estimated fetal weight at 32 and 37 weeks of gestation, and weight at birth. Doppler ultrasound measurements for uterine (UtA), umbilical (UmA), and middle cerebral artery (MCA) pulsatility indices (PI), as well as the cerebroplacental ratio (CPR - ratio MCA to UmA), were obtained at 32 weeks to assess fetoplacental hemodynamics. We applied linear mixed effects models to assess the association between singular PFAS and longitudinal fetal growth and PI, and Bayesian Weighted Quantile Sum models to evaluate associations between the PFAS mixture and the aforementioned outcomes, controlled for the relevant covariates. RESULTS Single PFAS and the mixture tended to be associated with reduced fetal growth and CPR PI, but few associations reached statistical significance. Legacy PFAS PFOS, PFHpA, and PFDoDa were associated with statistically significant decreases in fetal weight z-score of 0.13 (95%CI (-0.22, -0.04), 0.06 (-0.10, 0.01), and 0.05 (-0.10, 0.00), respectively, per doubling of concentration. The PFAS mixture was associated with a non-statistically significant 0.09 decrease in birth weight z-score (95%CI -0.22, 0.04) per quartile increase. CONCLUSION This study suggests that legacy PFAS may be associated with reduced fetal growth, but associations for next generation PFAS and for the PFAS mixture were less conclusive. Associations between PFAS and fetoplacental hemodynamics warrant further investigation.
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Affiliation(s)
- Bethany Knox
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Nuria Güil-Oumrait
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Dora Cserbik
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Maria Foraster
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Toni Galmes
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Mireia Gascon
- Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Manresa, Spain.
| | - Maria Dolores Gómez-Roig
- BCNatal, Fetal Medicine Research Center, Hospital Sant Joan de Déu and Hospital Clínic, University of Barcelona, Barcelona, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin Network (RICORS), RD21/0012/0003, Instituto de Salud Carlos III, Madrid, Spain; Institut de Recerca Sant Joan de Déu, Barcelona, Spain.
| | - Laura Gómez-Herrera
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Line Småstuen Haug
- Norwegian Institute of Public Health (NIPH), Department of Food Safety, Oslo, Norway.
| | - Elisa Llurba
- Department of Obstetrics and Gynaecology. Institut d'Investigació Biomèdica Sant Pau - IIB Sant Pau. Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases d Developof Perinatal anmental Origin Network (RICORS), RD21/0012/0001, Instituto de Salud Carlos III, Madrid, Spain.
| | - Sandra Márquez
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Ioar Rivas
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Cathrine Thomsen
- Norwegian Institute of Public Health (NIPH), Department of Food Safety, Oslo, Norway.
| | - Maria Julia Zanini
- BCNatal, Fetal Medicine Research Center, Hospital Sant Joan de Déu and Hospital Clínic, University of Barcelona, Barcelona, Spain; Primary Care Interventions to Prevent Maternal and Child Chronic Diseases of Perinatal and Developmental Origin Network (RICORS), RD21/0012/0003, Instituto de Salud Carlos III, Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
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Borghi E, Sachdev HS. Should a single growth standard be used to judge the nutritional status of children under age 5 years globally: Yes. Am J Clin Nutr 2024; 120:764-768. [PMID: 39277458 PMCID: PMC11473399 DOI: 10.1016/j.ajcnut.2024.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 04/22/2024] [Indexed: 09/17/2024] Open
Abstract
Childhood nutritional status serves as a lens through which nations and communities identify missed opportunities to improve health and wellbeing across the life cycle, as well as economic development and other related sectors. Countries have committed to the global nutrition targets endorsed by the World Health Assembly in 2012, which were included in the Sustainable Development Goals framework under the target to end all forms of malnutrition by 2030. The child malnutrition indicators for tracking countries' progress toward the agreed-upon targets are based on standard definitions of nutritional status against the widely adopted and used World Health Organization (WHO) Child Growth Standards. The standards were based on a sample of healthy breastfed infants and young children from diverse ethnic backgrounds and cultural settings as part of the WHO Multicentre Growth Reference Study. The WHO Child Growth Standards developed represent the best description of physiological growth for children aged <5 y. The standards depict normal early childhood growth under optimal environmental conditions and can be used to assess children everywhere, regardless of ethnicity, socioeconomic status, and type of feeding.
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Affiliation(s)
- Elaine Borghi
- Department of Nutrition and Food Safety, World Health Organization, Geneva, Switzerland.
| | - Harshpal Singh Sachdev
- Department of Pediatrics and Clinical Epidemiology, Sitaram Bhartia Institute of Science and Research, New Delhi, India
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Gleason JL, Reddy UM, Chen Z, Grobman WA, Wapner RJ, Steller JG, Simhan H, Scifres CM, Blue N, Parry S, Grantz KL. Comparing population-based fetal growth standards in a US cohort. Am J Obstet Gynecol 2024; 231:338.e1-338.e18. [PMID: 38151220 PMCID: PMC11196385 DOI: 10.1016/j.ajog.2023.12.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND No fetal growth standard is currently endorsed for universal use in the United States. Newer standards improve upon the methodologic limitations of older studies; however, before adopting into practice, it is important to know how recent standards perform at identifying fetal undergrowth or overgrowth and at predicting subsequent neonatal morbidity or mortality in US populations. OBJECTIVE To compare classification of estimated fetal weight that is <5th or 10th percentile or >90th percentile by 6 population-based fetal growth standards and the ability of these standards to predict a composite of neonatal morbidity and mortality. STUDY DESIGN We used data from the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be cohort, which recruited nulliparous women in the first trimester at 8 US clinical centers (2010-2014). Estimated fetal weight was obtained from ultrasounds at 16 to 21 and 22 to 29 weeks of gestation (N=9534 women). We calculated rates of fetal growth restriction (estimated fetal weight <5th and 10th percentiles; fetal growth restriction<5 and fetal growth restriction<10) and estimated fetal weight >90th percentile (estimated fetal weight>90) from 3 large prospective fetal growth cohorts with similar rigorous methodologies: INTERGROWTH-21, World Health Organization-sex-specific and combined, Eunice Kennedy Shriver National Institute of Child Health and Human Development race-ethnic-specific and unified, and the historic Hadlock reference. To determine whether differential classification of fetal growth restriction or estimated fetal weight >90 among standards was clinically meaningful, we then compared area under the curve and sensitivity of each standard to predict small for gestational age or large for gestational age at birth, composite perinatal morbidity and mortality alone, and small for gestational age or large for gestational age with composite perinatal morbidity and mortality. RESULTS The standards classified different proportions of fetal growth restriction and estimated fetal weight>90 for ultrasounds at 16 to 21 (visit 2) and 22 to 29 (visit 3) weeks of gestation. At visit 2, the Eunice Kennedy Shriver National Institute of Child Health and Human Development race-ethnic-specific, World Health Organization sex-specific and World Health Organization-combined identified similar rates of fetal growth restriction<10 (8.4%-8.5%) with the other 2 having lower rates, whereas Eunice Kennedy Shriver National Institute of Child Health and Human Development race-ethnic-specific identified the highest rate of fetal growth restriction<5 (5.0%) compared with the other references. At visit 3, World Health Organization sex-specific classified 9.2% of fetuses as fetal growth restriction<10, whereas the other 5 classified a lower proportion as follows: World Health Organization-combined (8.4%), Eunice Kennedy Shriver National Institute of Child Health and Human Development race-ethnic-specific (7.7%), INTERGROWTH (6.2%), Hadlock (6.1%), and Eunice Kennedy Shriver National Institute of Child Health and Human Development unified (5.1%). INTERGROWTH classified the highest (21.3%) as estimated fetal weight>90 whereas Hadlock classified the lowest (8.3%). When predicting composite perinatal morbidity and mortality in the setting of early-onset fetal growth restriction, World Health Organization had the highest area under the curve of 0.53 (95% confidence interval, 0.51-0.53) for fetal growth restriction<10 at 22 to 29 weeks of gestation, but the areas under the curve were similar among standards (0.52). Sensitivity was generally low across standards (22.7%-29.1%). When predicting small for gestational age birthweight with composite neonatal morbidity or mortality, for fetal growth restriction<10 at 22 to 29 weeks of gestation, World Health Organization sex-specific had the highest area under the curve (0.64; 95% confidence interval, 0.60-0.67) and INTERGROWTH had the lowest (area under the curve=0.58; 95% confidence interval 0.55-0.62), though all standards had low sensitivity (7.0%-9.6%). CONCLUSION Despite classifying different proportions of fetuses as fetal growth restriction or estimated fetal weight>90, all standards performed similarly in predicting perinatal morbidity and mortality. Classification of different percentages of fetuses as fetal growth restriction or estimated fetal weight>90 among references may have clinical implications in the management of pregnancies, such as increased antenatal monitoring for fetal growth restriction or cesarean delivery for suspected large for gestational age. Our findings highlight the importance of knowing how standards perform in local populations, but more research is needed to determine if any standard performs better at identifying the risk of morbidity or mortality.
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Affiliation(s)
- Jessica L Gleason
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD
| | - Uma M Reddy
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY
| | - Zhen Chen
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD
| | - William A Grobman
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, OH
| | - Ronald J Wapner
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY
| | - Jon G Steller
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, University of California, Irvine, Irvine, CA
| | - Hyagriv Simhan
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Christina M Scifres
- Department of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN
| | - Nathan Blue
- Department of Obstetrics and Gynecology, The University of Utah, Salt Lake City, UT
| | - Samuel Parry
- Department of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Katherine L Grantz
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD.
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AIUM Practice Parameter for the Performance of Standard Diagnostic Obstetric Ultrasound. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024; 43:E20-E32. [PMID: 38224490 DOI: 10.1002/jum.16406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 01/17/2024]
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Kim MJ, Hutcheon JA, Lee AF, Liauw J. Autopsy-Based Growth Charts May under-Detect Fetal Growth Restriction at Autopsy. Fetal Pediatr Pathol 2024; 43:198-207. [PMID: 38186330 DOI: 10.1080/15513815.2023.2299491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024]
Abstract
Background: Accurate identification of fetal growth restriction in fetal autopsy is critical for assessing causes of death. We examined the impact of using a chart derived from ultrasound measurements of healthy fetuses (World Health Organization fetal growth chart) versus a chart commonly used by pathologists (Archie et al.) derived from fetal autopsy-based populations in diagnosing small-for-gestational-age (SGA) birth in perinatal deaths. Study Design: We examined perinatal deaths that underwent autopsy at BC Women's Hospital, 2015-2021. Weight centiles were assigned using the ultrasound-based fetal growth chart for birthweight and autopsy-based growth chart for autopsy weight. Results: Among 352 fetuses, 30% were SGA based on the ultrasound-based fetal growth chart versus 17% using the autopsy-based growth chart (p < 0.001). Weight centiles were lower when using the ultrasound-based versus autopsy-based growth chart (median difference of 9 centiles [IQR 2, 20]). Conclusions: Autopsy-based growth charts may under-classify SGA status compared to ultrasound-based fetal growth charts.
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Affiliation(s)
- Min Jung Kim
- Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada
| | - Anna F Lee
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Jessica Liauw
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada
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Mascherpa M, Pegoire C, Meroni A, Minopoli M, Thilaganathan B, Frick A, Bhide A. Prenatal prediction of adverse outcome using different charts and definitions of fetal growth restriction. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:605-612. [PMID: 38145554 DOI: 10.1002/uog.27568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 12/03/2023] [Accepted: 12/09/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE Antenatal growth assessment using ultrasound aims to identify small fetuses that are at higher risk of perinatal morbidity and mortality. This study explored whether the association between suboptimal fetal growth and adverse perinatal outcome varies with different definitions of fetal growth restriction (FGR) and different weight charts/standards. METHODS This was a retrospective cohort study of 17 261 singleton non-anomalous pregnancies at ≥ 24 + 0 weeks' gestation that underwent routine ultrasound at a tertiary referral hospital. Estimated fetal weight (EFW) and Doppler indices were converted into percentiles using a reference standard (INTERGROWTH-21st (IG-21)) and various reference charts (Hadlock, Fetal Medicine Foundation (FMF) and Swedish). Test characteristics were assessed using the consensus definition, Society for Maternal-Fetal Medicine (SMFM) definition and Swedish criteria for FGR. Adverse perinatal outcome was defined as perinatal death, admission to the neonatal intensive care unit at term, 5-min Apgar score < 7 and therapeutic cooling for neonatal encephalopathy. The association between FGR according to each definition and adverse perinatal outcome was compared. Multivariate logistic regression analysis was used to test the strength of association between ultrasound parameters and adverse perinatal outcome. Ultrasound parameters were also tested for correlation. RESULTS IG-21, Hadlock and FMF fetal size references classified as growth-restricted 1.5%, 3.6% and 4.6% of fetuses, respectively, using the consensus definition and 2.9%, 8.8% and 10.6% of fetuses, respectively, using the SMFM definition. The sensitivity of the definition/chart combinations for adverse perinatal outcome varied from 4.4% (consensus definition with IG-21 charts) to 13.2% (SMFM definition with FMF charts). Specificity varied from 89.4% (SMFM definition with FMF charts) to 98.6% (consensus definition with IG-21 charts). The consensus definition and Swedish criteria showed the highest specificity, positive predictive value and positive likelihood ratio in detecting adverse outcome, irrespective of the reference chart/standard used. Conversely, the SMFM definition had the highest sensitivity across all investigated growth charts. Low EFW, abnormal mean uterine artery pulsatility index (UtA-PI) and abnormal cerebroplacental ratio were significantly associated with adverse perinatal outcome and there was a positive correlation between the covariates. Multivariate logistic regression showed that UtA-PI > 95th percentile and EFW < 5th percentile were the only parameters consistently associated with adverse outcome, irrespective of the definitions or fetal growth chart/standard used. CONCLUSIONS The apparent prevalence of FGR varies according to the definition and fetal size reference chart/standard used. Irrespective of the method of classification, the sensitivity for the identification of adverse perinatal outcome remains low. EFW, UtA-PI and fetal Doppler parameters are significant predictors of adverse perinatal outcome. As these indices are correlated with one other, a prediction algorithm is advocated to overcome the limitations of using these parameters in isolation. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- M Mascherpa
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, Università degli Studi di Brescia, Brescia, Italy
| | - C Pegoire
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
| | - A Meroni
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, Università degli Studi di Pavia, Pavia, Italy
| | - M Minopoli
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Department of Medicine and Surgery, Obstetrics and Gynaecology Unit, Università degli Study di Parma, Parma, Italy
| | - B Thilaganathan
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
- Vascular Biology Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK
| | - A Frick
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
| | - A Bhide
- Fetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, University of London, London, UK
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Hoang TT, Schraw JM, Peckham-Gregory EC, Scheurer ME, Lupo PJ. Fetal growth and pediatric cancer: A pan-cancer analysis in 7000 cases and 37 000 controls. Int J Cancer 2024; 154:41-52. [PMID: 37555673 DOI: 10.1002/ijc.34683] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/12/2023] [Accepted: 07/24/2023] [Indexed: 08/10/2023]
Abstract
Birth weight is an established risk factor for some pediatric cancers but is dependent on gestational age and sex. Furthermore, it is unclear how associations may differ by infant sex, age at diagnosis, maternal race/ethnicity and maternal nativity status. We examined the association between size for gestation and a spectrum of pediatric cancers registered in the Texas Cancer Registry from 1995 to 2011. We analyzed up to 7547 cases and 37 735 controls. Analyses were conducted using logistic regression. Small-for-gestational age (SGA) and large-for-gestational age (LGA) were significantly associated with several tumors. SGA was associated with hepatic tumors (aOR = 1.76, 95% CI: 1.13, 2.74). Conversely, inverse associations were with Hodgkin lymphoma (aOR = 0.41, 95% CI: 0.19, 0.87) and soft tissue sarcomas (aOR = 0.65, 95% CI: 0.43, 0.97). LGA was associated with acute lymphoblastic leukemia (aOR = 1.37, 95% CI: 1.19, 1.57), Burkitt lymphoma (aOR = 1.90, 95% CI: 1.05, 3.45) and germ cell tumors (aOR = 1.55, 95% CI: 1.08, 2.23). Results did not differ when stratified by infant sex. The association with LGA and leukemia was strongest in those diagnosed 1 to 5 and 6 to 10 years. When stratified by maternal race/ethnicity, the association with LGA and neuroblastoma and renal tumors was strongest in children whose mother identified as non-Hispanic/Latina (H/L) Black. Among H/L women, children of Mexican-born women had a stronger association with LGA and leukemia, CNS tumors, neuroblastoma and renal tumors than children of US-born women (aOR range: 1.61-2.25 vs 1.12-1.27). Size for gestation is associated with several pediatric cancers. Associations may differ by age at diagnosis, maternal race/ethnicity and nativity.
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Affiliation(s)
- Thanh T Hoang
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, Texas, USA
| | - Jeremy M Schraw
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, Texas, USA
| | - Erin C Peckham-Gregory
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, Texas, USA
| | - Michael E Scheurer
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, Texas, USA
| | - Philip J Lupo
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, Texas, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, Texas, USA
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12
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Zhang L, Yin W, Yu W, Wang P, Wang H, Zhang X, Zhu P. Environmental exposure to outdoor artificial light at night during pregnancy and fetal size: A prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 883:163521. [PMID: 37062314 DOI: 10.1016/j.scitotenv.2023.163521] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 04/05/2023] [Accepted: 04/11/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND Previous studies suggested outdoor artificial light at night (ALAN) exposure may contribute to children and adult obesity, but less is known about the associations of outdoor ALAN exposure during pregnancy with fetal size. METHODS From 2015 to 2021, 6210 mother-child pairs were included. Average outdoor ALAN levels during pregnancy were measured using satellite imaging data. Fetal biparietal diameter, head circumference, abdominal circumference (AC), and femur length were measured before delivery with ultrasonography. We also collected anthropometric birth outcomes, including birth length, birth weight, macrosomia, low birth weight, small for gestational age, and large for gestational age at delivery. Multivariable linear regression models and binary logistic regression models were used to examine the potential associations of outdoor ALAN with fetal size adjusting for a broad set of potential confounds. RESULTS An IQR (14.87 nW/cm2/sr) increase in outdoor ALAN during pregnancy was associated with 1.30 (β = 1.30, 95 % CI: 0.31,2.29) higher AC percentiles and 13 % (OR = 1.13, 95 % CI: 1.00,1.27) higher odds of macrosomia after adjusting confounders. In sex stratification analysis, an IQR (14.87 nW/cm2/sr) increase in outdoor ALAN during pregnancy was associated with 1.65 (β = 1.65, 95 % CI: 0.24,3.06) higher fetal AC percentiles and 27 % (OR = 1.27, 95 % CI: 1.06,1.53) higher odds of macrosomia in females. CONCLUSIONS Our findings suggest that higher outdoor ALAN exposure during pregnancy is associated with larger fetal AC and a higher risk of macrosomia, particularly in the female fetus. Future studies are needed to verify these preliminary findings and identify potential mechanisms for the association.
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Affiliation(s)
- Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Wanjun Yin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Wenjie Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Peng Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Haixia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Xiujun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China.
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Hazel EA, Erchick DJ, Katz J, Lee ACC, Diaz M, Wu LSF, West KP, Shamim AA, Christian P, Ali H, Baqui AH, Saha SK, Ahmed S, Roy AD, Silveira MF, Buffarini R, Shapiro R, Zash R, Kolsteren P, Lachat C, Huybregts L, Roberfroid D, Zhu Z, Zeng L, Gebreyesus SH, Tesfamariam K, Adu-Afarwuah S, Dewey KG, Gyaase S, Poku-Asante K, Boamah Kaali E, Jack D, Ravilla T, Tielsch J, Taneja S, Chowdhury R, Ashorn P, Maleta K, Ashorn U, Mangani C, Mullany LC, Khatry SK, Ramokolo V, Zembe-Mkabile W, Fawzi WW, Wang D, Schmiegelow C, Minja D, Msemo OA, Lusingu JPA, Smith ER, Masanja H, Mongkolchati A, Keentupthai P, Kakuru A, Kajubi R, Semrau K, Hamer DH, Manasyan A, Pry JM, Chasekwa B, Humphrey J, Black RE. Neonatal mortality risk of vulnerable newborns: A descriptive analysis of subnational, population-based birth cohorts for 238 203 live births in low- and middle-income settings from 2000 to 2017. BJOG 2023. [PMID: 37156238 DOI: 10.1111/1471-0528.17518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/06/2023] [Accepted: 04/12/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE We aimed to understand the mortality risks of vulnerable newborns (defined as preterm and/or born weighing smaller or larger compared to a standard population), in low- and middle-income countries (LMICs). DESIGN Descriptive multi-country, secondary analysis of individual-level study data of babies born since 2000. SETTING Sixteen subnational, population-based studies from nine LMICs in sub-Saharan Africa, Southern and Eastern Asia, and Latin America. POPULATION Live birth neonates. METHODS We categorically defined five vulnerable newborn types based on size (large- or appropriate- or small-for-gestational age [LGA, AGA, SGA]), and term (T) and preterm (PT): T + LGA, T + SGA, PT + LGA, PT + AGA, and PT + SGA, with T + AGA (reference). A 10-type definition included low birthweight (LBW) and non-LBW, and a four-type definition collapsed AGA/LGA into one category. We performed imputation for missing birthweights in 13 of the studies. MAIN OUTCOME MEASURES Median and interquartile ranges by study for the prevalence, mortality rates and relative mortality risks for the four, six and ten type classification. RESULTS There were 238 203 live births with known neonatal status. Four of the six types had higher mortality risk: T + SGA (median relative risk [RR] 2.6, interquartile range [IQR] 2.0-2.9), PT + LGA (median RR 7.3, IQR 2.3-10.4), PT + AGA (median RR 6.0, IQR 4.4-13.2) and PT + SGA (median RR 10.4, IQR 8.6-13.9). T + SGA, PT + LGA and PT + AGA babies who were LBW, had higher risk compared with non-LBW babies. CONCLUSIONS Small and/or preterm babies in LIMCs have a considerably increased mortality risk compared with babies born at term and larger. This classification system may advance the understanding of the social determinants and biomedical risk factors along with improved treatment that is critical for newborn health.
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Affiliation(s)
- Elizabeth A Hazel
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Daniel J Erchick
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Joanne Katz
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Anne C C Lee
- Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Diaz
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Lee S F Wu
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Keith P West
- Department of International Health, Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Parul Christian
- Department of International Health, Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Hasmot Ali
- JiVitA Maternal and Child Health Research Project, Rangpur, Bangladesh
| | - Abdullah H Baqui
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Samir K Saha
- Child Health Research Foundation, Dhaka, Bangladesh
| | | | | | - Mariângela F Silveira
- Post-Graduate Program in Epidemiology - Federal University of Pelotas, Pelotas, Brazil
| | - Romina Buffarini
- Post-Graduate Program in Epidemiology - Federal University of Pelotas, Pelotas, Brazil
| | - Roger Shapiro
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Rebecca Zash
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Patrick Kolsteren
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - Carl Lachat
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - Lieven Huybregts
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
- Poverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, District of Columbia, USA
| | - Dominique Roberfroid
- Namur University, Namur, Belgium
- Belgian Health Care Knowledge Centre, Brussels, Belgium
| | - Zhonghai Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China
| | - Seifu H Gebreyesus
- Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - Kokeb Tesfamariam
- Department of Food Technology, Safety, and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Seth Adu-Afarwuah
- Department of Nutrition and Food Science, University of Ghana, Accra, Ghana
| | - Kathryn G Dewey
- Department of Nutrition, Institute for Global Nutrition, University of California, Davis, California, USA
| | | | | | - Ellen Boamah Kaali
- Kintampo Health Research Centre, Kintampo, Ghana
- Research and Development Division, Ghana Health Service, Accra, Ghana
| | - Darby Jack
- Columbia University's Mailman School of Public Health, New York, New York, USA
| | | | - James Tielsch
- George Washington University Milken Institute School of Public Health, Washington, District of Columbia, USA
| | - Sunita Taneja
- Centre for Health Research and Development, Society for Applied Studies, New Delhi, India
| | - Ranadip Chowdhury
- Centre for Health Research and Development, Society for Applied Studies, New Delhi, India
| | - Per Ashorn
- Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Kenneth Maleta
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Ulla Ashorn
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Charles Mangani
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Luke C Mullany
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Vundli Ramokolo
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Gertrude H Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Wanga Zembe-Mkabile
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- South African Research Chair in Social Policy at College Graduate of Studies, University of South Africa, Pretoria, South Africa
| | - Wafaie W Fawzi
- Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Dongqing Wang
- Department of Global and Community Health, College of Public Health, George Mason University, Fairfax, Virginia, USA
| | - Christentze Schmiegelow
- Centre for Medical Parasitology, Department of Immunology and Microbiology, University of Copenhagen, and Department of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark
| | - Daniel Minja
- National Institute of Medical Research, Tanga, Tanzania
| | | | | | - Emily R Smith
- Department of Global Health, Milken Institute School of Public Health, Washington, District of Columbia, USA
| | | | | | - Paniya Keentupthai
- College of Medicine and Public Health, Ubon Ratchathani University, Ubon Ratchathani, Thailand
| | - Abel Kakuru
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Richard Kajubi
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - Katherine Semrau
- Ariadne Labs, Brigham and Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Davidson H Hamer
- Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Albert Manasyan
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jake M Pry
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Bernard Chasekwa
- Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe
| | - Jean Humphrey
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Robert E Black
- International Health Department, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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14
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Grantz KL, Grewal J, Kim S, Grobman WA, Newman RB, Owen J, Sciscione A, Skupski D, Chien EK, Wing DA, Wapner RJ, Ranzini AC, Nageotte MP, Craigo S, Hinkle SN, D’Alton ME, He D, Tekola-Ayele F, Hediger ML, Buck Louis GM, Zhang C, Albert PS. Unified standard for fetal growth: the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies. Am J Obstet Gynecol 2022; 226:576-587.e2. [PMID: 34906542 DOI: 10.1016/j.ajog.2021.12.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/03/2021] [Accepted: 12/06/2021] [Indexed: 11/25/2022]
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15
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Gleason JL, Grantz KL. Reconsidering upstream approaches to improving population health. Lancet 2021; 398:1855-1856. [PMID: 34735798 DOI: 10.1016/s0140-6736(21)01958-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 08/09/2021] [Indexed: 11/24/2022]
Affiliation(s)
- Jessica L Gleason
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, MSC 7004, Bethesda, MD, USA
| | - Katherine L Grantz
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, MSC 7004, Bethesda, MD, USA.
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