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Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis
The aim of the study was to provide a systematic review and meta-analysis of studies examining the association between mortality risk and motor vehicle crashes (MVCs) in pregnant women compared with nonpregnant women. We used relevant MeSH terms to identify epidemiological studies of mortality risk...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775890/ https://www.ncbi.nlm.nih.gov/pubmed/35055738 http://dx.doi.org/10.3390/ijerph19020911 |
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author | Chang, Ya-Hui Cheng, Ya-Yun Hou, Wen-Hsuan Chien, Yu-Wen Chang, Chiung-Hsin Chen, Ping-Ling Lu, Tsung-Hsueh Yovita Hendrati, Lucia Li, Chung-Yi Foo, Ning-Ping |
author_facet | Chang, Ya-Hui Cheng, Ya-Yun Hou, Wen-Hsuan Chien, Yu-Wen Chang, Chiung-Hsin Chen, Ping-Ling Lu, Tsung-Hsueh Yovita Hendrati, Lucia Li, Chung-Yi Foo, Ning-Ping |
author_sort | Chang, Ya-Hui |
collection | PubMed |
description | The aim of the study was to provide a systematic review and meta-analysis of studies examining the association between mortality risk and motor vehicle crashes (MVCs) in pregnant women compared with nonpregnant women. We used relevant MeSH terms to identify epidemiological studies of mortality risk in relation to MVCs from PubMed, Embase, and MEDLINE databases. The Newcastle–Ottawa Scale (NOS) was used for quality assessment. For comparison of mortality from MVCs between pregnant and nonpregnant women, the pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using a random effects model. The eight studies selected met all inclusion criteria. These studies included 14,120 injured victims who were pregnant at the time of the incident and 207,935 victims who were not pregnant. Compared with nonpregnant women, pregnant women had a moderate but insignificant decrease in mortality risk (pooled OR = 0.68, 95% CI = 0.38–1.22, I(2) = 88.71%). Subgroup analysis revealed that the pooled OR significantly increased at 1.64 (95% CI = 1.16–2.33, I(2) < 0.01%) for two studies with a similar difference in the mean injury severity score (ISS) between pregnant and nonpregnant women. Future studies should further explore the risk factors associated with MVCs in pregnant women to reduce maternal mortality. |
format | Online Article Text |
id | pubmed-8775890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87758902022-01-21 Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis Chang, Ya-Hui Cheng, Ya-Yun Hou, Wen-Hsuan Chien, Yu-Wen Chang, Chiung-Hsin Chen, Ping-Ling Lu, Tsung-Hsueh Yovita Hendrati, Lucia Li, Chung-Yi Foo, Ning-Ping Int J Environ Res Public Health Systematic Review The aim of the study was to provide a systematic review and meta-analysis of studies examining the association between mortality risk and motor vehicle crashes (MVCs) in pregnant women compared with nonpregnant women. We used relevant MeSH terms to identify epidemiological studies of mortality risk in relation to MVCs from PubMed, Embase, and MEDLINE databases. The Newcastle–Ottawa Scale (NOS) was used for quality assessment. For comparison of mortality from MVCs between pregnant and nonpregnant women, the pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using a random effects model. The eight studies selected met all inclusion criteria. These studies included 14,120 injured victims who were pregnant at the time of the incident and 207,935 victims who were not pregnant. Compared with nonpregnant women, pregnant women had a moderate but insignificant decrease in mortality risk (pooled OR = 0.68, 95% CI = 0.38–1.22, I(2) = 88.71%). Subgroup analysis revealed that the pooled OR significantly increased at 1.64 (95% CI = 1.16–2.33, I(2) < 0.01%) for two studies with a similar difference in the mean injury severity score (ISS) between pregnant and nonpregnant women. Future studies should further explore the risk factors associated with MVCs in pregnant women to reduce maternal mortality. MDPI 2022-01-14 /pmc/articles/PMC8775890/ /pubmed/35055738 http://dx.doi.org/10.3390/ijerph19020911 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Chang, Ya-Hui Cheng, Ya-Yun Hou, Wen-Hsuan Chien, Yu-Wen Chang, Chiung-Hsin Chen, Ping-Ling Lu, Tsung-Hsueh Yovita Hendrati, Lucia Li, Chung-Yi Foo, Ning-Ping Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis |
title | Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis |
title_full | Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis |
title_fullStr | Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis |
title_short | Risk of Mortality in Association with Pregnancy in Women Following Motor Vehicle Crashes: A Systematic Review and Meta-Analysis |
title_sort | risk of mortality in association with pregnancy in women following motor vehicle crashes: a systematic review and meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775890/ https://www.ncbi.nlm.nih.gov/pubmed/35055738 http://dx.doi.org/10.3390/ijerph19020911 |
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