| Peer-Reviewed

Application of Statistical Methods to the Survival Analysis for the Evaluation of the Efficiency of Resuscitation Measures in Cases of Complicated Multiple Trauma

Received: 28 February 2017     Accepted: 19 June 2017     Published: 3 August 2017
Views:       Downloads:
Abstract

In this article we consider the opportunities for the application of special survival analysis methods for the evaluation of the efficiency of different resuscitation measures for victims of injury with complicated multiple trauma (polytrauma). We introduce a number of different survival functions with various possible risk factors, as well as analyzing the dynamics of possible mortality rates with regard to the injuries suffered and the individual characteristics of the injury victim. As a result of this research the authors conclude that mathematical and statistical methods for survival analysis should find more complete implementations in the medical research of domestic scientists, especially for the studies of traumas and urgent conditions.

Published in Biomedical Statistics and Informatics (Volume 2, Issue 3)
DOI 10.11648/j.bsi.20170203.14
Page(s) 111-116
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Survival Analysis, Injured, Complicated Multiple Trauma, Models of Survival Analysis

References
[1] Borovikov V. P. Statistica: iskusstvo analiza dannych na kompjutere. Dla professionalov. Sankt Peterburg: Piter, 2001. – 656 p.
[2] Clare C. Do public access defibrillation (PAD) programmes lead to an increase of patients surviving to discharge from hospital following out of hospital cardiac arrest? A literature review. Int J Nurs Stud 2006; 43: 1057– 62.
[3] Homer D. Applied survival analysis: regression modeling of time to event data. New York, NY: Wiley, 1999, pp. 159.
[4] Davis D. P., Garberson L. A., Andrusiek D. L. et al. A descriptive analysis of emergency medical service systems participating in the Resuscitation Outcomes Consortium (ROC) network. Prehospital Emergency Care 2007; 11: 369–82.
[5] Morrison LJ, Nichol G, Rea TD, et al. Rationale, development and implementation of the Resuscitation Outcomes Consortium epistry cardiac arrest. Resuscitation 2008; 78: 161–9.
[6] Peberdy MA, Kaye W, Ornato JP, et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation. Resuscitation 2003; 58: 297–308.
[7] Schemper M., Cox analysis of survival data with nonproportional hazard functions. The Statistician, vol. 41, pp. 455-465, 1992.
[8] Dobiáš V. et al. Prednemocničná urgentná medicína. Osveta, Martin. 2012. 740 p.
[9] Torok P. et al. Zásady transportu kriticky chorých a pacientov s obehovou ventilačnou podporou v záchranárskej praxi. Osveta, Martin, 2015. 140 p.
[10] Boyko V., Dubrovina N., Zamiatin P., Gerrard R., Gurov A. et al. The Analysis of Injuries and Mortality Risks Level as a Result of Road Accident in Regions of the Central and Eastern Europe. International Journal of Managerial Studies and Research (IJMSR) Volume 3, Issue 8, August 2015, PP 85-94. Available at: https://www.arcjournals.org/pdfs/ijmsr/v3-i8/12.pdf
[11] Gurov A. M., Pokatylo V. E., Hladkykh D. B. Sudebno-medytsynskaya obʺektyvyzatsyya boly dlya dyahnostyky ushyba myahkykh tkaney lytsa. Liky Ukrayiny. 2007. № 112. S. 50 – 51.
[12] Hladkykh D. B., Barvinsʹka T. M. Sposib diahnostyky zhyrovoyi emboliyi velykoho kola krovoobihu. Patent Ukrayiny № 88282 Ukrayina, MPK A 61B 10/00. Zayavleno 23.09.2013. Opubl. 11.03.2014, Byul. № 5.
[13] Boyko V., Gurov A., Zamiatin P., Dubrovina N., Zamiatin D. The character features of fatal traumas in road accidents in Kharkov region. Conference Proceedings. 9th International Scientific Conference Crisis Management. Regions Safety. Brno. Karel Englis College. 2016. pp. 62-63.
Cite This Article
  • APA Style

    Nadiya Dubrovina, Russell Gerrard, Valeriy Boyko, Petro Zamiatin, Alexander Sinelnikov, et al. (2017). Application of Statistical Methods to the Survival Analysis for the Evaluation of the Efficiency of Resuscitation Measures in Cases of Complicated Multiple Trauma. Biomedical Statistics and Informatics, 2(3), 111-116. https://doi.org/10.11648/j.bsi.20170203.14

    Copy | Download

    ACS Style

    Nadiya Dubrovina; Russell Gerrard; Valeriy Boyko; Petro Zamiatin; Alexander Sinelnikov, et al. Application of Statistical Methods to the Survival Analysis for the Evaluation of the Efficiency of Resuscitation Measures in Cases of Complicated Multiple Trauma. Biomed. Stat. Inform. 2017, 2(3), 111-116. doi: 10.11648/j.bsi.20170203.14

    Copy | Download

    AMA Style

    Nadiya Dubrovina, Russell Gerrard, Valeriy Boyko, Petro Zamiatin, Alexander Sinelnikov, et al. Application of Statistical Methods to the Survival Analysis for the Evaluation of the Efficiency of Resuscitation Measures in Cases of Complicated Multiple Trauma. Biomed Stat Inform. 2017;2(3):111-116. doi: 10.11648/j.bsi.20170203.14

    Copy | Download

  • @article{10.11648/j.bsi.20170203.14,
      author = {Nadiya Dubrovina and Russell Gerrard and Valeriy Boyko and Petro Zamiatin and Alexander Sinelnikov and Oleksander Gurov and Dmytro Hladkykh and Denis Zamiatin and Alexander Olefir and Viktor Cheverda},
      title = {Application of Statistical Methods to the Survival Analysis for the Evaluation of the Efficiency of Resuscitation Measures in Cases of Complicated Multiple Trauma},
      journal = {Biomedical Statistics and Informatics},
      volume = {2},
      number = {3},
      pages = {111-116},
      doi = {10.11648/j.bsi.20170203.14},
      url = {https://doi.org/10.11648/j.bsi.20170203.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20170203.14},
      abstract = {In this article we consider the opportunities for the application of special survival analysis methods for the evaluation of the efficiency of different resuscitation measures for victims of injury with complicated multiple trauma (polytrauma). We introduce a number of different survival functions with various possible risk factors, as well as analyzing the dynamics of possible mortality rates with regard to the injuries suffered and the individual characteristics of the injury victim. As a result of this research the authors conclude that mathematical and statistical methods for survival analysis should find more complete implementations in the medical research of domestic scientists, especially for the studies of traumas and urgent conditions.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Application of Statistical Methods to the Survival Analysis for the Evaluation of the Efficiency of Resuscitation Measures in Cases of Complicated Multiple Trauma
    AU  - Nadiya Dubrovina
    AU  - Russell Gerrard
    AU  - Valeriy Boyko
    AU  - Petro Zamiatin
    AU  - Alexander Sinelnikov
    AU  - Oleksander Gurov
    AU  - Dmytro Hladkykh
    AU  - Denis Zamiatin
    AU  - Alexander Olefir
    AU  - Viktor Cheverda
    Y1  - 2017/08/03
    PY  - 2017
    N1  - https://doi.org/10.11648/j.bsi.20170203.14
    DO  - 10.11648/j.bsi.20170203.14
    T2  - Biomedical Statistics and Informatics
    JF  - Biomedical Statistics and Informatics
    JO  - Biomedical Statistics and Informatics
    SP  - 111
    EP  - 116
    PB  - Science Publishing Group
    SN  - 2578-8728
    UR  - https://doi.org/10.11648/j.bsi.20170203.14
    AB  - In this article we consider the opportunities for the application of special survival analysis methods for the evaluation of the efficiency of different resuscitation measures for victims of injury with complicated multiple trauma (polytrauma). We introduce a number of different survival functions with various possible risk factors, as well as analyzing the dynamics of possible mortality rates with regard to the injuries suffered and the individual characteristics of the injury victim. As a result of this research the authors conclude that mathematical and statistical methods for survival analysis should find more complete implementations in the medical research of domestic scientists, especially for the studies of traumas and urgent conditions.
    VL  - 2
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • Department of Finance, University of Economics in Bratislava, Bratislava, Slovakia

  • Faculty of Actuarial Science and Insurance, Cass Business School, City, University of London, London, UK

  • Zaicev V. T. Institute of General and Emergency Surgery of NAMS of Ukraine, Department of Surgery No.1, Kharkiv National Medical University, Kharkiv, Ukraine

  • Zaicev V. T. Institute of General and Emergency Surgery of NAMS of Ukraine, Department of Surgery No.1, Kharkiv National Medical University, Kharkiv, Ukraine

  • Department of Pathology, Lake Erie College of Medicine (LECOM), Bradenton FL, USA

  • Department of Forensic Medicine, Kharkiv Medical Academy of Post Diploma Education, Kharkiv, Ukraine

  • Department of Forensic Medicine, Kharkiv Medical Academy of Post Diploma Education, Kharkiv, Ukraine

  • Department of Surgery No.1, Kharkiv National Medical University, Kharkiv, Ukraine

  • Department of Surgery No.1, Kharkiv National Medical University, Kharkiv, Ukraine

  • Department of Surgery No.2, Kharkiv National Medical University, Kharkiv, Ukraine

  • Sections