Are orthopaedic surgeons prepared? An analysis of severe casualties from the 2021 flash flood and mudslide disaster in Germany

被引:6
|
作者
Gathen, Martin [1 ]
Welle, Kristian [1 ]
Jaenisch, Max [1 ]
Kasapovic, Adnan [1 ]
Rommelspacher, Charlotte [1 ]
Novosel, Suncana [1 ]
Roos, Jonas [1 ]
Kabir, Koroush [1 ]
机构
[1] Univ Hosp Bonn, Dept Orthoped & Trauma Surg, Venusberg Campus 1, D-53127 Bonn, Germany
关键词
Flood; Natural catastrophe; Infectious diseases; Trauma surgery; Natural disaster; Climate change;
D O I
10.1007/s00068-022-01967-2
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background The purpose of this study was to describe and analyse the most severe casualties from the flash flood and mudslides occurring on 14 July 2021 in Germany, focusing on patients who were treated in the closest and largest level I trauma centre in the region the disaster occurred. Methods A single-centre retrospective study design was employed, and all patients treated because of the flooding and mudslides who needed inpatient treatment were documented. Data on each patient's demographic characteristics, type of injury, number of surgeries, duration of hospitalisation, operation time, revision rate, injury severity score (ISS), and complications were collected. The primary outcome measure was status at discharge. Results Within the first week after the flood, a total of 63 patients were documented. Forty-one patients were treated on an outpatient basis in the emergency unit, and 22 patients were hospitalised. Of those hospitalised, 15 patients needed surgical treatment in the operation theatre. The most common injuries were fractures of the lower extremity (n = 7) and soft tissue wounds (n = 4) . Overall, 20 surgeries were performed; the mean hospital stay was 7.2 +/- 6.4 days, and the mean ISS was 5.7 +/- 2.7. Conclusion The July 2021 flood disaster was one of the largest in German history. The included patients showed complex injuries of various types. Because of the effects of climate change, orthopaedic surgeons might face higher numbers of casualties affected by natural disasters. Learning more about the management and profile of these injuries can become a future challenge for orthopaedic and trauma surgeons.
引用
收藏
页码:4233 / 4241
页数:9
相关论文
共 8 条
  • [1] Are orthopaedic surgeons prepared? An analysis of severe casualties from the 2021 flash flood and mudslide disaster in Germany
    Martin Gathen
    Kristian Welle
    Max Jaenisch
    Adnan Kasapovic
    Charlotte Rommelspacher
    Suncana Novosel
    Jonas Roos
    Koroush Kabir
    European Journal of Trauma and Emergency Surgery, 2022, 48 : 4233 - 4241
  • [2] Emergency management - Lessons learned from the flood disaster 2021 in Germany?
    Jüpner R.
    WasserWirtschaft, 2022, 112 (10): : 60 - 66
  • [3] Analysis of flash flood disaster characteristics in China from 2011 to 2015
    He, Bingshun
    Huang, Xianlong
    Ma, Meihong
    Chang, Qingrui
    Tu, Yong
    Li, Qing
    Zhang, Ke
    Hong, Yang
    NATURAL HAZARDS, 2018, 90 (01) : 407 - 420
  • [4] Analysis of flash flood disaster characteristics in China from 2011 to 2015
    Bingshun He
    Xianlong Huang
    Meihong Ma
    Qingrui Chang
    Yong Tu
    Qing Li
    Ke Zhang
    Yang Hong
    Natural Hazards, 2018, 90 : 407 - 420
  • [5] Disaster Management Dynamics - An Analysis of Chaos from the Flash Flood (2013) in the Fragile Himalayan System
    Sen, Ranen
    Chakrabarti, Sharadindra
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2019, 93 (03) : 321 - 330
  • [6] Disaster Management Dynamics – An Analysis of Chaos from the Flash Flood (2013) in the Fragile Himalayan System
    Ranen Sen
    Sharadindra Chakrabarti
    Journal of the Geological Society of India, 2019, 93 : 321 - 330
  • [7] The wisdom of crowds for improved disaster resilience: a near-real-time analysis of crowdsourced social media data on the 2021 flood in Germany
    Moghadas, Mahsa
    Fekete, Alexander
    Rajabifard, Abbas
    Koetter, Theo
    GEOJOURNAL, 2023, 88 (04) : 4215 - 4241
  • [8] The wisdom of crowds for improved disaster resilience: a near-real-time analysis of crowdsourced social media data on the 2021 flood in Germany
    Mahsa Moghadas
    Alexander Fekete
    Abbas Rajabifard
    Theo Kötter
    GeoJournal, 2023, 88 : 4215 - 4241