JOURNAL ARTICLE

Animal injury characteristics following the 2020 ammonium nitrate explosion in the Port of Beirut.

  • Published In: Journal of Veterinary Emergency & Critical Care, 2023, v. 33, n. 4. P. 477 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mansour, Hana A.; Jawhary, Khalil El; Chaaban, Ihab; Hemadeh, Ali; Tarek, Chadi; Yehia, Maher; Hassan, Nidal; Hosri, Joseph; Mansour, Ahmad M. 3 of 3

Abstract

Purpose: To describe the characteristics and veterinary management of animal casualties after an ammonium nitrate explosion in the Port of Beirut. Methods: Retrospective evaluation of medical records from multiple veterinary organizations. Results: Veterinary care was administered to 298 cats and 103 dogs, with 101 animals (25%) undergoing surgical procedures under general anesthesia. Glass injuries prevailed, with suturing performed in 98 animals (24.4%). Surgery was used to treat 31 animals (7.7%) with extremity fractures and 52 animals with tendon injuries (13.3%). Bodily burns were encountered in 19 animals (4.7%). Six animals (1.5%) lost their hearing entirely, while another 6 (1.5%) lost an eye. Conclusion: The joint coordinated work of veterinary groups and nongovernmental animal organizations reduced the number of injured animal fatalities. Of animals documented as having undergone treatment, 355 (88.5%) survived their initial injury assessment, and 46 (11.5%) died. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Veterinary Emergency & Critical Care. 2023/07, Vol. 33, Issue 4, p477
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:1479-3261
  • DOI:10.1111/vec.13292
  • Accession Number:166735422
  • Copyright Statement:Copyright of Journal of Veterinary Emergency & Critical Care is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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