|
1
|
Williford EM, Yang W, Howley MM, Ma C, Collins RT, Weber KA, Heinke D, Petersen JM, Agopian AJ, Archer NP, Olshan AF, Williams LA, Browne ML, Shaw GM. Factors associated with infant sex and preterm birth status for selected birth defects from the National Birth Defects Prevention Study, 1997-2011. Birth Defects Res 2024; 116:e2294. [PMID: 38155422 PMCID: PMC11561737 DOI: 10.1002/bdr2.2294] [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: 07/27/2023] [Revised: 11/22/2023] [Accepted: 12/11/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Birth defects and preterm birth co-occur, with some overlapping risk factors. Many birth defects and preterm births tend to have a male preponderance. We explored potential risk factors impacting sex and preterm (<37 weeks of gestation) birth differences among infants with selected birth defects delivered from 1997 to 2011 using data from the National Birth Defects Prevention Study (NBDPS). METHODS The NBDPS was a large multisite, population-based case-control study. Using random forests, we identified important predictors of male preterm, female preterm, and male term, each compared with female term births for each birth defect. Using logistic regression, we estimated odds ratios for associations between important predictors and sex-preterm birth status by birth defect. RESULTS We examined 11,379 infants with nine specific birth defects. The top 10 most important predictors of sex-preterm birth status from the random forests varied greatly across the birth defects and sex-preterm comparisons within a given defect group, with several being novel factors. However, one consistency was that short interpregnancy interval was associated with sex-preterm birth status for many of the studied birth defects. Although obesity has been identified as a risk factor for preterm birth and birth defects in other research, it was not associated with sex-preterm birth status for any of the examined defects. CONCLUSIONS We confirmed expected associations for sex-preterm birth status differences and found new potential risk factors for further exploration among the studied birth defects.
Collapse
Affiliation(s)
- Eva M. Williford
- Birth Defects Registry, New York State Department of Health, Albany, New York, USA
| | - Wei Yang
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Meredith M. Howley
- Birth Defects Registry, New York State Department of Health, Albany, New York, USA
| | - Chen Ma
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Ronnie T. Collins
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Kari A. Weber
- Arksansas Center for Birth Defects Research and Prevention and Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Dominique Heinke
- Center for Birth Defects Research and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - Julie M. Petersen
- Center for Birth Defects Research and Prevention, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - A. J. Agopian
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Natalie P. Archer
- Environmental Epidemiology and Disease Registries Section, Texas Department of State Health Services, Austin, Texas, USA
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lindsay A. Williams
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Marilyn L. Browne
- Birth Defects Registry, New York State Department of Health, Albany, New York, USA
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, New York, USA
| | - Gary M. Shaw
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | | |
Collapse
|
|
2
|
A Finite Element Analysis Model is Suitable for Biomechanical Analysis of Orbital Development. J Craniofac Surg 2021; 32:2546-2550. [PMID: 34705364 DOI: 10.1097/scs.0000000000007558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
ABSTRACT The authors investigated orbital bone development in congenital microphthalmia (CM) using a three-dimensional finite element analysis model, after the orbital dimension deficiency was improved with a self-inflating hydrogel expander implant.Data of a 2-year-old male CM patient were examined. The orbital structure, eyeball, eye muscles, and self-inflating hydrogel expander were constructed according to computed tomography examination data. The effects of self-expanding spherical hydrogel at various locations in the muscle cone on orbital bone development were examined using 3-mL self-expanding expanders placed at shallow (model 1: 2 mm depth) and deep (model 2: 8 mm depth) muscle cone positions. This model simulated the hydrogel expansion process; the orbital bone biomechanics and radial displacement nephograms were obtained when the hydrogel volume increased 3, 5, 7, and 9 times and analyzed.The orbital bone biomechanics were concentrated at the medial orbital wall center, gradually spreading to the whole orbital wall. Biomechanics and radial displacement of the inferior temporal and lateral distal orbital wall region were the most significant, and were more significant in model 1 than in model 2.Finite element analysis is suitable for the biomechanical analysis of orbital development in CM. The shallow position inside CM patients' muscle cone is the optimal site for hydrogel implantation.
Collapse
|