Factors Influencing Pregnant Women's Injuries and Fetal Loss Due to Motor Vehicle Collisions: A National Crash Data-Based Study.

• HATTORI, Shinobu

• HITOSUGI, Masahito

• MORIGUCHI, Shingo

• BABA, Mineko

• TAKASO, Marin

• NAKAMURA, Mami

• TSUJIMURA, Seiji

• MIYATA, Yasuhito

• 一杉, 正仁

• 森口, 真吾

• 馬塲, 美年子

• 高相, 真鈴

• 中村, 磨美

Abstract

To examine the factors that influence substantial injuries for pregnant women and negative fetal outcomes in motor vehicle collisions (MVCs), a retrospective analysis using the National Automotive Sampling System/Crashworthiness Data System was performed in Shiga University of Medical Science. We analyzed data from 736 pregnant women who, between 2001 and 2015, had injuries that were an abbreviated injury scale (AIS) score of one or more. The mean age was 25.9 ± 6.4 years and the mean gestational age was 26.2 ± 8.2 weeks. Additionally, 568 pregnant women had mild injuries and 168 had moderate to severe injuries. Logistic regression analysis revealed that seatbelt use (odds ratio (OR), 0.30), airbag deployment (OR, 2.00), and changes in velocity (21-40 km/h: OR, 3.03; 41-60 km/h: OR, 13.47; ≥61 km/h: OR, 44.56) were identified as independent predictors of having a moderate to severe injury. The positive and negative outcome groups included 231 and 12 pregnant women, respectively. Injury severity in pregnant women was identified as an independent predictor of a negative outcome (OR, 2.79). Avoiding moderate to severe maternal injuries is a high priority for saving the fetus, and education on appropriate seatbelt use and limiting vehicle speed for pregnant women is required.

source:http://www.ncbi.nlm.nih.gov/pmc/articles/pmc8001010/

Journal

• Healthcare

  Healthcare 9 (3), 273-, 2021-03-03

  MDPI AG

Keywords

• fetus fatality
• injury severity
• motor vehicle collision
• passenger
• pregnant women

Details

• CRID: 1050288015469953792
• NII Article ID: 120007034817
• ISSN: 22279032
• DOI: 10.3390/healthcare9030273
• Web Site: http://hdl.handle.net/10422/00012967
• Web Site: https://www.mdpi.com/2227-9032/9/3/273/pdf
• Text Lang: en
• Article Type: journal article
• Data Source:
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN