The impact of COVID-19 pandemic on the mortality and morbidity of patients undergoing trauma surgery: a report from the UK Corona TRAUMA Surge (UKCoTS) study

Article


Imam, M., Yiu, A. C. F., Elgebaly, A., Sobti, A., Field, R. E., Jaffry, Z., Ghaith, H., Consigliere, P., Narvani, A. A., Hammad, R., Abdalla, H. and UKCoTS Collaborative 2023. The impact of COVID-19 pandemic on the mortality and morbidity of patients undergoing trauma surgery: a report from the UK Corona TRAUMA Surge (UKCoTS) study. International Orthopaedics. 47 (6), pp. 1397-1405. https://doi.org/10.1007/s00264-023-05718-9
AuthorsImam, M., Yiu, A. C. F., Elgebaly, A., Sobti, A., Field, R. E., Jaffry, Z., Ghaith, H., Consigliere, P., Narvani, A. A., Hammad, R., Abdalla, H. and UKCoTS Collaborative
Abstract

Purpose
To assess the impact of the COVID-19 pandemic on the outcomes of the patients who underwent trauma surgery during the peak of the pandemic.

Methods
The UKCoTS collected the postoperative outcomes of consecutive patients who underwent trauma surgery across 50 centres during the peak of the pandemic (April 2020) and during April 2019.

Results
Patients who were operated on during 2020 were less likely to be followed up within a 30-day postoperative period (57.5% versus 75.6% p <0.001). The 30-day mortality rate was significantly higher during 2020 (7.4% versus 3.7%, p <0.001). Likewise, the 60-day mortality rate was significantly higher in 2020 than in 2019 (p <0.001). Patients who were operated on during 2020 had lower rates of 30-day postoperative complications (20.7% versus 26.4%, p <0.001).

Conclusions
Postoperative mortality was higher during the first wave of the COVID-19 pandemic compared to the same period in 2019, but with lower rates of postoperative complications and reoperation.

JournalInternational Orthopaedics
Journal citation47 (6), pp. 1397-1405
ISSN1432-5195
0341-2695
Year2023
PublisherSpringer Nature
Digital Object Identifier (DOI)https://doi.org/10.1007/s00264-023-05718-9
Publication dates
Online10 Mar 2023
PrintJun 2023
Publication process dates
Accepted29 Jan 2023
Deposited14 Aug 2024
Copyright holder© 2023, The Authors, under exclusive licence to SICOT aisbl.
Permalink -

https://repository.uel.ac.uk/item/8xwyy

  • 14
    total views
  • 1
    total downloads
  • 3
    views this month
  • 0
    downloads this month

Export as

Related outputs

Deep Learning Algorithms for the Detection of Suspicious Pigmented Skin Lesions in Primary Care Settings: A Systematic Review and Meta- Analysis
Abdalla, A. H., Hageen, A. W., Saleh, H. H., Al-Azzawi, O., Ghalab, M., Harraz, A., Eldoqsh, B. S., Elawady, F. E., Alhammadi, A. H., Elmorsy, H. H., Jano, M., Elmasry, M., Bahbah, E. I. and Elgebaly, A. 2024. Deep Learning Algorithms for the Detection of Suspicious Pigmented Skin Lesions in Primary Care Settings: A Systematic Review and Meta- Analysis. Cureus. 16 (7), p. e65122. https://doi.org/10.7759/cureus.65122
Epidemiology and outcomes of pediatric autosomal recessive polycystic kidney disease in the Middle East and North Africa
Salman, M. A., Elgebaly, A. and Soliman, N. A. 2024. Epidemiology and outcomes of pediatric autosomal recessive polycystic kidney disease in the Middle East and North Africa. Pediatric Nephrology. 39, pp. 2569-2578. https://doi.org/10.1007/s00467-024-06281-0
The interaction between insulin resistance and Alzheimer’s disease: a review article
Albar, N. Y., Hassaballa, H., Shikh, H., Albar, Y., Ibrahim, A. S., Mousa, A. H., Alshanberi, A. M., Elgebaly, A. and Bahbah, E. I. 2024. The interaction between insulin resistance and Alzheimer’s disease: a review article. Postgraduate Medicine. 136 (4), pp. 377-395. https://doi.org/10.1080/00325481.2024.2360887
ARivaT: A Tool for Automated Generation of Riva-Based Business Process Architecture Diagrams
Hassan, O. A-H., Samhan, A., Alhajhassan, S. and Hammad, R. 2024. ARivaT: A Tool for Automated Generation of Riva-Based Business Process Architecture Diagrams. IEEE Access. 11, pp. 46257-46270. https://doi.org/10.1109/ACCESS.2023.3275932
Identification of A.I. Generated Deep Fake Video by Higher Education Students
Delchev, K., Safieddine, F. and Hammad, R. 2024. Identification of A.I. Generated Deep Fake Video by Higher Education Students. 12th Computing Conference 2024. London, United Kingdom 26 - 27 Jun 2024 Springer, Cham. https://doi.org/10.1007/978-3-031-62281-6_33
Edubot: A Framework for Chatbot in Education
Hammad, R., Bhaja, M. and Patel, J. 2023. Edubot: A Framework for Chatbot in Education. in: Kuhail, M. A., Shawar, B. A. and Hammad, R. (ed.) Trends, Applications, and Challenges of Chatbot Technology IGI Global. pp. 166-185
Opportunities and Challenges in Educational Chatbots
Hammad, R. and Bahja, M. 2023. Opportunities and Challenges in Educational Chatbots. in: Kuhail, M. A., Shawar, B. A. and Hammad, R. (ed.) Trends, Applications, and Challenges of Chatbot Technology IGI Global. pp. 119-136
Embracing technological change in higher education
Hammad, R., Kuhail. M. A. and Bahja, M. 2022. Embracing technological change in higher education. in: Waller, L. and Waller, S. (ed.) Higher Education - New Approaches to Accreditation, Digitalization, and Globalization in the Age of Covid IntechOpen.
Blockchain Primer: Introduction to Blockchain Foundations and Implementation
Kuhail, M. A., Mathew, S. S., Hammad, R. and Bahja, M. 2022. Blockchain Primer: Introduction to Blockchain Foundations and Implementation. in: Shahnawz, K., Syed, M. H., Hammad, R. and Bushager, A. F. (ed.) Blockchain Technology and Computational Excellence for Society 5.0 IGI Global. pp. 28-47
Global impact of COVID-19 on surgeons and team members (GlobalCOST): a cross-sectional study
Jaffry, Z., Raj, S., Sallam, A., Lyman, S., Negida, A., Yiu, C. F. A., Sobti, A., Bua, N., Field, R. E., Abdalla, H., Hammad, R., Qazi, N., Singh, B., Brennan, P. A., Hussein, A., Narvani, A., Jones, A., Imam, M. A. and The OrthoGlobe Collaborative 2022. Global impact of COVID-19 on surgeons and team members (GlobalCOST): a cross-sectional study. BMJ Open. 12 (8), p. e059873. https://doi.org/10.1136/bmjopen-2021-059873
Bridging the Gap Between Informal Learning Pedagogy and Multimodal Learning Analytics
Hammad, R., Bahja, M. and Kuhail, M. A. 2022. Bridging the Gap Between Informal Learning Pedagogy and Multimodal Learning Analytics. in: Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R. (ed.) The Multimodal Learning Analytics Handbook Springer, Cham. pp. 159-179
Introduction to Multimodal Learning Analytics
Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R. 2022. Introduction to Multimodal Learning Analytics. in: Giannakos, M., Spikol, D., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R. (ed.) The Multimodal Learning Analytics Handbook Springer, Cham. pp. 3-28
Towards Sustainable Production Processes Reengineering: Case Study at INCOM Egypt
Ismail, R. F., Safieddine, F., Hammad, R. and Kantakji, M. H. 2022. Towards Sustainable Production Processes Reengineering: Case Study at INCOM Egypt. Sustainability. 14 (Art. 6564). https://doi.org/10.3390/su14116564
A Machine Learning Framework for House Price Estimation
Awonaike, A., Ghorashi, S. and Hammad, R. 2022. A Machine Learning Framework for House Price Estimation. 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021). Online 13 - 15 Dec 2021 Springer. https://doi.org/10.1007/978-3-030-96308-8_90
Convolutional neural network based SARS-CoV-2 patients detection model using CT images
Khan, S., Thirunavukkarasu, K., Hammad, R., Bali, V. and Qader 2021. Convolutional neural network based SARS-CoV-2 patients detection model using CT images. International Journal of Intelligent Engineering Informatics. 9 (2). https://doi.org/10.1504/IJIEI.2021.117061
Improving student online engagement and enhancing the ability of tutors to analyse student knowledge; use of an MCQ during an online tutorial
Hammad, J., de Sousa Valente, J., Hammad, R. and Brain, S. 2021. Improving student online engagement and enhancing the ability of tutors to analyse student knowledge; use of an MCQ during an online tutorial. Pharmacology 2021. Online 07 - 09 Sep 2021 Wiley for British Pharmological Society. https://doi.org/10.1111/bph.15648
Characterizing Visual Programming Approaches for End-User Developers: A Systematic Review
Kuhail, M. A., Farooq, S., Hammad, R. and Bahja, M. 2021. Characterizing Visual Programming Approaches for End-User Developers: A Systematic Review. IEEE Access. 9, pp. 14181-14202. https://doi.org/10.1109/ACCESS.2021.3051043
A user-centric framework for educational chatbots design and development
Bahja, M., Hammad, R. and Butt, G. 2020. A user-centric framework for educational chatbots design and development. HCII 2020: 22nd HCI International Conference, . Copenhagen, Denmark (Online) 19 - 24 Jul 2020 Springer, Cham. https://doi.org/10.1007/978-3-030-60117-1_3
A review of learning theories and models underpinning technology enhanced learning artefacts
Hammad, R., Khan, Z., Safieddine, F. and Ahmed, A. 2020. A review of learning theories and models underpinning technology enhanced learning artefacts. World Journal of Science, Technology and Sustainable Development. 17 (4), pp. 341-354. https://doi.org/10.1108/WJSTSD-06-2020-0062
Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach
Bahja, M., Hammad, R. and Kuhail. M. A. 2020. Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach. UCC 2020: 13th IEEE/ACM International Conference on Utility and Cloud Computing. Leicester, UK 07 - 10 Dec 2020 IEEE/ACM. https://doi.org/10.1109/UCC48980.2020.00049
Fake News: Origins and Political Impact
Hammad, R. and Safieddine, F. 2020. Fake News: Origins and Political Impact. in: Ibrahim, Y. (ed.) Handbook of Research on Recent Developments in Internet Activism and Political Participation IGI Global. pp. 103-121
Preface: CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces
Giannakos, M., Spikol, D., Molenaar, I., Di Mitri, D., Sharma, K., Ochoa, X. and Hammad, R. 2020. Preface: CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces. CrossMMLA 2020: CrossMMLA in practice. Cyberspace 24 Mar 2020 CEUR Workshop Proceedings.
Talk2Learn: A Framework for Chatbot Learning
Bahja, M., Hammad, R. and Hassouna, M. 2019. Talk2Learn: A Framework for Chatbot Learning. EC-TEL 2019: 14th European Conference on Technology Enhanced Learning. Delft, The Netherlands 16 - 19 Sep 2019 Springer, Cham. https://doi.org/10.1007/978-3-030-29736-7_44