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

Nadiya Dubrovina; Russell Gerrard; Valeriy Boyko; Petro Zamiatin; Alexander Sinelnikov; Oleksander Gurov; Dmytro Hladkykh; Denis Zamiatin; Alexander Olefir; Viktor Cheverda

doi:doi:10.11648/j.bsi.20170203.14

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

Nadiya Dubrovina, Russell Gerrard, Valeriy Boyko, Petro Zamiatin, Alexander Sinelnikov, Oleksander Gurov, Dmytro Hladkykh, Denis Zamiatin, Alexander Olefir, Viktor Cheverda

Published in Biomedical Statistics and Informatics (Volume 2, Issue 3)

Received: 28 February 2017 Accepted: 19 June 2017 Published: 3 August 2017

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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

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[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.

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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

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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

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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

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@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}
}

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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
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DO  - 10.11648/j.bsi.20170203.14
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
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EP  - 116
PB  - Science Publishing Group
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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  -

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Author Information

Nadiya Dubrovina

Department of Finance, University of Economics in Bratislava, Bratislava, Slovakia
Russell Gerrard

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

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

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

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

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

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

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

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

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

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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

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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

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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

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@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}
}

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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  -

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