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Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study
OBJECTIVES: Few studies of tornado injuries have considered differences related to damage levels and Enhanced-Fujita (EF) scale ratings. This study aimed to evaluate the pattern, spectrum and geographical distribution of injuries related to the Yancheng tornado and provide guidelines for effective e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020979/ https://www.ncbi.nlm.nih.gov/pubmed/29934390 http://dx.doi.org/10.1136/bmjopen-2018-021552 |
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author | Deng, Qiangyu Lv, Yipeng Xue, Chen Kang, Peng Dong, Junqiang Zhang, Lulu |
author_facet | Deng, Qiangyu Lv, Yipeng Xue, Chen Kang, Peng Dong, Junqiang Zhang, Lulu |
author_sort | Deng, Qiangyu |
collection | PubMed |
description | OBJECTIVES: Few studies of tornado injuries have considered differences related to damage levels and Enhanced-Fujita (EF) scale ratings. This study aimed to evaluate the pattern, spectrum and geographical distribution of injuries related to the Yancheng tornado and provide guidelines for effective emergency medical strategies. SETTING: The study was conducted at three hospitals which treated patients with injuries related to the tornado in Yancheng, China. PARTICIPANTS: We obtained the records of 451 patients with tornado-related injuries. Of these, 401 valid trauma medical records were included; 50 other records were excluded for insufficient information. Informed consent was obtained from all patients by telephone. MAIN OUTCOME MEASURES: We analysed patients’ injury sites and types and used the abbreviated injury scale (AIS) to standardise injury severity. Geographical information system and non-parametric tests were used to analyse the effects of geographical factors on casualties. RESULTS: Women, middle-aged/elderly individuals (age>45 years) and children/adolescents (<18 years) accounted for 51.62%, 77.30% and 12.47% of injured patients, respectively. This caused a dumbbell-shaped age distribution. Head (46.63%), body surface (39.90%) and lower-limb (29.43%) injuries were common, as were soft-tissue injuries (90.77%), fractures (38.90%) and organ damage (19.70%). Minor injuries (AIS=1) were common (60.85%), whereas critical/fatal injuries (AIS≥5) were very rare (2.50%). Although the densities of injury varied among damage levels and EF ratings for different areas, area-wise differences in injury severity (AIS scores) were not significant (p>0.05). CONCLUSION: We recommend the use of helmets to prevent head injuries caused by tornadoes and suggest prioritising the treatment of high-risk head and multiple-organ injuries. Additionally, medical rescuers should follow the ‘same quality and different quantity’ principle: the injured in all affected areas should receive equal attention, but numbers of medical personnel should be allocated based on the level of effects from the tornado. |
format | Online Article Text |
id | pubmed-6020979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60209792018-06-29 Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study Deng, Qiangyu Lv, Yipeng Xue, Chen Kang, Peng Dong, Junqiang Zhang, Lulu BMJ Open Health Services Research OBJECTIVES: Few studies of tornado injuries have considered differences related to damage levels and Enhanced-Fujita (EF) scale ratings. This study aimed to evaluate the pattern, spectrum and geographical distribution of injuries related to the Yancheng tornado and provide guidelines for effective emergency medical strategies. SETTING: The study was conducted at three hospitals which treated patients with injuries related to the tornado in Yancheng, China. PARTICIPANTS: We obtained the records of 451 patients with tornado-related injuries. Of these, 401 valid trauma medical records were included; 50 other records were excluded for insufficient information. Informed consent was obtained from all patients by telephone. MAIN OUTCOME MEASURES: We analysed patients’ injury sites and types and used the abbreviated injury scale (AIS) to standardise injury severity. Geographical information system and non-parametric tests were used to analyse the effects of geographical factors on casualties. RESULTS: Women, middle-aged/elderly individuals (age>45 years) and children/adolescents (<18 years) accounted for 51.62%, 77.30% and 12.47% of injured patients, respectively. This caused a dumbbell-shaped age distribution. Head (46.63%), body surface (39.90%) and lower-limb (29.43%) injuries were common, as were soft-tissue injuries (90.77%), fractures (38.90%) and organ damage (19.70%). Minor injuries (AIS=1) were common (60.85%), whereas critical/fatal injuries (AIS≥5) were very rare (2.50%). Although the densities of injury varied among damage levels and EF ratings for different areas, area-wise differences in injury severity (AIS scores) were not significant (p>0.05). CONCLUSION: We recommend the use of helmets to prevent head injuries caused by tornadoes and suggest prioritising the treatment of high-risk head and multiple-organ injuries. Additionally, medical rescuers should follow the ‘same quality and different quantity’ principle: the injured in all affected areas should receive equal attention, but numbers of medical personnel should be allocated based on the level of effects from the tornado. BMJ Publishing Group 2018-06-22 /pmc/articles/PMC6020979/ /pubmed/29934390 http://dx.doi.org/10.1136/bmjopen-2018-021552 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health Services Research Deng, Qiangyu Lv, Yipeng Xue, Chen Kang, Peng Dong, Junqiang Zhang, Lulu Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study |
title | Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study |
title_full | Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study |
title_fullStr | Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study |
title_full_unstemmed | Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study |
title_short | Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study |
title_sort | pattern and spectrum of tornado injury and its geographical information system distribution in yancheng, china: a cross-sectional study |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020979/ https://www.ncbi.nlm.nih.gov/pubmed/29934390 http://dx.doi.org/10.1136/bmjopen-2018-021552 |
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