Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-23T06:26:24.241Z Has data issue: false hasContentIssue false

Injury Patterns and Medical Evacuation of Patients in Chifeng Tornado in China, August 11, 2017

Published online by Cambridge University Press:  22 October 2019

Fangjie Zhao
Affiliation:
Institute of Military Health Management, Second Military Medical University, Shanghai, China
Chaoqun Hu
Affiliation:
Institute of Military Health Management, Second Military Medical University, Shanghai, China
Zhenqing Xu
Affiliation:
Institute of Military Health Management, Second Military Medical University, Shanghai, China
Qiangyu Deng
Affiliation:
Institute of Military Health Management, Second Military Medical University, Shanghai, China
Yaomin Wu
Affiliation:
Institute of Military Health Management, Second Military Medical University, Shanghai, China
Lulu Zhang*
Affiliation:
Institute of Military Health Management, Second Military Medical University, Shanghai, China
*
Correspondence and reprint requests to Lulu Zhang, Director, Institute of Military Health Management, Second Military Medical University, 800 Xiangyin Road, Shanghai, China, 200433 (e-mail: zllrmit@163.com).

Abstract

Objectives:

To study injury patterns and medical rescue operations related to tornadoes that occur in rural areas, this study investigated the data pertaining to the 2017 Chifeng tornado (China).

Methods:

Medical records of 52 tornado-related patients were investigated. Data were collected from 3 local hospitals that received all the tornado victims.

Results:

A total of 148 injuries were diagnosed. Tornado-related injuries were mainly caused by collapsed houses (51.9%) and direct physical trauma caused by the tornado (38.5%). Most injuries occurred outdoors (63.5%). The head (20.3%) and thorax (14.8%) were most 2 frequent anatomical injury sites. Soft-tissue injuries (43.9%) and contusions and lacerations (37.3%) were the 2 most common injury types. On evaluating the Abbreviated Injury Scale scores, a score of 1 was the most common (66.2%), and a score of 6 was not recorded.

Conclusions:

A trailing phenomenon in the distribution of time to admission among the victims of a particular tornado in China was observed. The delivery is timely compared with nondisaster situation. There was a statistically significant difference of injury causes between outdoor and indoor patients. Helmets should be used by potential tornado victims. Basement units capable of functioning as shelters should be built in villages.

Type
Original Research
Copyright
Copyright © 2019 Society for Disaster Medicine and Public Health, Inc.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Shen, G, Hwang, SN. A spatial risk analysis of tornado-induced human injuries and fatalities in the USA. Nat Hazards. 2015;77(2):1223‐42.CrossRefGoogle Scholar
Min, G. Rare tornado disaster in Inner Mongolia, Chifeng. In: China weather. 2017. http://www.weather.com.cn/neimenggu/sy/tqyw/08/2759534.shtml. Accessed October 4, 2019.Google Scholar
Sugimoto, JD, Labrique, AB, Ahmad, S, et al. Epidemiology of tornado destruction in rural northern Bangladesh: risk factors for death and injury. Disasters. 2011;35(2):329‐45.CrossRefGoogle ScholarPubMed
Wang, K, Zhong, S, Wang, X, et al. Assessment of the public health risks and impact of a tornado in Funing, China, 23 June 2016: a retrospective analysis. Int J Environ Res Public Health. 2017;14(10):pii: E1201.CrossRefGoogle Scholar
Jia, H, Pan, D. Tornado disaster impacts and management: learning from the 2016 tornado catastrophe in Jiangsu Province, China. Nat Hazards. 2017;89(1):457‐71.CrossRefGoogle Scholar
Deng, Q, Lv, Y, Chen, X, et al. Pattern and spectrum of tornado injury and its geographical information system distribution in Yancheng, China: a cross-sectional study. BMJ Open. 2018;8:e021552.CrossRefGoogle ScholarPubMed
Campbell, CM, Baker, MD, Monroe, KW. Prevention of child injuries during tornadoes: cases from the 2011 tornado outbreak in Alabama. Pediatr Emerg Care 2012;28(12):1389‐90.CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention (CDC). Tornado-related fatalities--five states, Southeastern United States, April 25-28, 2011. MMWR Morb Mortal Wkly Rep. 2012;61(28):529‐33.Google Scholar
Chiu, CH, Schnall, AH, Mertzlufft, CE, et al. Mortality from a tornado outbreak, Alabama, April 27, 2011. Am J Public Health. 2013;103(8):e52‐8.CrossRefGoogle Scholar
Zhang, L, Liu, X, Li, Y, et al. Emergency medical rescue efforts after a major earthquake: lessons from the 2008 Wenchuan earthquake. Lancet. 2012;379(9818):853‐61.CrossRefGoogle Scholar
Kang, P, Tang, B, Liu, Y, et al. Medical efforts and injury patterns of military hospital patients following the 2013 Lushan earthquake in China: a retrospective study. Int J Environ Res Public Health. 2015;12(9):10723‐38.CrossRefGoogle ScholarPubMed
Tang, B, Zhang, L. Ya’an earthquake. Lancet. 2013;381(9882):1984‐5.CrossRefGoogle ScholarPubMed
Foreman, BP, Caesar, RR, Parks, J, et al. Usefulness of the abbreviated injury score and the injury severity score in comparison to the Glasgow Coma Scale in predicting outcome after traumatic brain injury. J Trauma. 2007;62(4):946‐50.CrossRefGoogle ScholarPubMed
Osler, T, Baker, SP, Long, W. A modification of the injury severity score that both improves accuracy and simplifies scoring. J Trauma. 1997;43(6):922‐5; discussion 925-6.CrossRefGoogle ScholarPubMed
Palmer, CS, Niggemeyer, LE, Charman, D. Double coding and mapping using Abbreviated Injury Scale 1998 and 2005: identifying issues for trauma data. Injury. 2010;41(9):948‐54.CrossRefGoogle ScholarPubMed
Zhang, L, Li, H, Carlton, JR, et al. The injury profile after the 2008 earthquakes in China. Injury. 2009;40(1):84‐6.CrossRefGoogle ScholarPubMed
Mulvey, JM, Awan, SU, Qadri, AA, et al. Profile of injuries arising from the 2005 Kashmir earthquake: the first 72 h. Injury. 2008;39(5):554‐60.CrossRefGoogle ScholarPubMed
Howard, JT, Kotwal, RS, Santos, AR, et al. Re-examination of a battlefield trauma golden hour policy. J Trauma Acute Care Surg. 2018;84(1):11‐8.CrossRefGoogle Scholar
Stampfer, MJ, Willett, WC, Speizer, FE, et al. Test of the National Death Index. Am J Epidemiol. 1985;121(4):626.CrossRefGoogle Scholar
Brenner, SA, Noji, EK. Risk factors for death or injury in tornadoes: an epidemiologic approach. 1993. https://www.researchgate.net/publication/259949008_Risk_factors_for_death_or_injury_in_tornadoes_An_epidemiologic_approach. Accessed October 4, 2019.Google Scholar
Niederkrotenthaler, T, Parker, EM, Ovalle, F, et al. Injuries and post-traumatic stress following historic tornados: Alabama, April 2011. PLoS One. 2013;8(12):e83038.CrossRefGoogle ScholarPubMed
May, AK, McGwin, G Jr, Lancaster, LJ, et al. The April 8, 1998 tornado: assessment of the trauma system response and the resulting injuries. J Trauma. 2000;48(4):666‐72.CrossRefGoogle ScholarPubMed
Bohonos, JJ, Hogan, DE. The medical impact of tornadoes in North America. J Emerg Med. 1999;17(1):6773.CrossRefGoogle ScholarPubMed
Rosenfield, AL, Mcqueen, DA, Lucas, GL. Orthopedic injuries from the Andover, Kansas, tornado. J Trauma. 1994;36(5):676‐9.CrossRefGoogle ScholarPubMed
Marr, J. Kalamazoo medics say ‘fantastic’! to health personnel response after tornadoes. Mich Med. 1980;79(20):374‐6.Google ScholarPubMed
Leibovich, M. The December 2, 1982 tornado of Saline and Pulaski counties: implications for injury prevention. J Ark Med Soc. 1983;80(2):98102.Google ScholarPubMed
Listed, N. Rating the severity of tissue damage. I. The abbreviated scale. JAMA. 1971;215(2):277‐80.Google Scholar
Gennarelli, TA, Wodzin, E. AIS 2005: a contemporary injury scale. Injury. 2006;37(12):1083‐91.CrossRefGoogle ScholarPubMed
Salazar, MA, Pesigan, A, Law, R, et al. Post-disaster health impact of natural hazards in the Philippines in 2013. Glob Health Action. 2016;9:31320.CrossRefGoogle ScholarPubMed