Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Traumatic brain injury probability of survival assessment in adults using iterative random comparison classification

Trauma brain injury (TBI) is the most common cause of death and disability in young adults. A method to determine the probability of survival (Ps) in trauma called iterative random comparison classification (IRCC) was developed and its performance was evaluated in TBI. IRCC operates by iteratively comparing the test case with randomly chosen subgroups of cases from a database of known outcomes (survivors and not survivors) and determines the overall percentage match. The performance of IRCC to determine Ps in TBI was compared with two existing methods. One was Ps14 that uses regression and the other was predictive statistical diagnosis (PSD) that is based on Bayesian statistic. The TBI database contained 4124 adult cases (mean age 67.9 years, standard deviation 21.6) of which 3553 (86.2%) were survivors and 571 (13.8%) were not survivors. IRCC determined Ps for the survivors and not survivors with an accuracy of 79.0 and 71.4%, respectively, while the corresponding values for Ps14 were 97.4% (survivors) and 40.2% (not survivors) and for PSD were 90.8% (survivors) and 50% (not survivors). IRCC could be valuable for determining Ps in TBI and with a suitable database in other traumas.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
      • 18. Geocadin, R.: ‘Traumatic brain injury’, In Bhardwaj, A., Mirski, M., Ulatowski, J., Totowa, N.J. (Eds): ‘Handbook of neuro critical care' (Humana Press, New York, NY, USA, 2004), pp. 7389.
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • 24. TARN, Trauma Audit and Research Network (TARN): ‘The TARN Probability of Survival Model’. Available at https://www.tarn.ac.uk/Content.aspx?ca=4&c=3515 accessed 03 May 2019.
    16. 16)
      • 23. Siritongtaworn, P., Opasanon, S.: ‘The use of trauma score-injury severity score (TRISS) at Siriraj Hospital: how accurate is it?’, J. Med. Assoc. Thail., 2009, 92, pp. 10161021.
    17. 17)
      • 15. Chung, P., Khan, F.: ‘Traumatic brain injury (TBI): overview of diagnosis and treatment’, J Neurol Neurolphysiol., 2013, 5, pp. 182192.
    18. 18)
    19. 19)
    20. 20)
      • 26. Saleh, M., Saatchi, R., Lecky, F., et al: ‘Predictive statistical diagnosis to determine the probability of survival in adult subjects with traumatic brain injury’, Technologies, 2018, 6(2)(41), pp. 116. Available at https://www.mdpi.com/2227-7080/6/2/41.
    21. 21)
    22. 22)
    23. 23)
      • 28. Cha, S.H.: ‘Comprehensive survey on distance/similarity measures between probability density functions’, Int. J. Math. Models Methods Appl. Sci., 2007, 4, (1), pp. 300307.
    24. 24)
    25. 25)
    26. 26)
    27. 27)
      • 6. Saleh, M., Saatchi, R., Burke, D.: ‘Analysis of the influence of trauma injury factors on the probability of survival’, Int. J. Biol. Biomed. Eng., 2017, 11, pp. 8896.
    28. 28)
    29. 29)
http://iet.metastore.ingenta.com/content/journals/10.1049/htl.2019.0029
Loading

Related content

content/journals/10.1049/htl.2019.0029
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address