Skip to main content

Advertisement

Log in

Development and validation of a risk prediction model for tracheostomy in acute traumatic cervical spinal cord injury patients

  • Original Article
  • Published:
European Spine Journal Aims and scope Submit manuscript

Abstract

Purpose

Tracheostomy may become indispensable for patients with acute traumatic cervical spinal cord injuries. However, the early prediction of a tracheostomy is often difficult. Previous prediction models using the pulmonary function test (PFT) have limitations because some severely injured patients could not provide acceptable PFT results. We aim to develop an alternative model for predicting tracheostomy using accessible data obtained from the bedside.

Method

Clinical, neurological and radiological data from 345 consecutive patients with acute tetraplegia were retrospectively reviewed. We applied multiple logistic regression analysis (MLRA) and classification and regression tree (CART) analysis to develop the prediction model for tracheostomy. By train-test cross-validation, we used the sensitivity, specificity, area under the receiver operating characteristics curve (AUC) and correction rate to evaluate the performance of these models.

Results

According to the American Spinal Injury Association (ASIA) standards, an admission ASIA motor score (AAMS) ≤ 22, ASIA grade A and presence of respiratory complications were identified as independent predictors of tracheostomy by both models. The model derived by CART suggested that the highest signal change (HSC) in the spinal cord on magnetic resonance imaging (MRI) also affected a patient’s requirement for a tracheostomy, while MLRA demonstrated that tracheostomy was also influenced by the presence of an ASIA grade B injury. The CART model had a sensitivity of 73.7 %, specificity of 89.7 %, AUC of 0.909 and overall correction rate of 87.3 %. The sensitivity, specificity, AUC and correction rate of the MLRA model were 81.8, 86.4, 0.889 and 85.7 %, respectively.

Conclusions

We suggest using the CART model in clinical applications. Patients with AAMS ≤ 1 exhibit an increased likelihood of requiring a tracheostomy. For patients with an AAMS in the range of 2–22, surgeons should consider giving these patients a tracheostomy once respiratory complications occur. Surgeons should be cautious to give a tracheostomy to patients with an AAMS ≥ 23, if the patient experiences an incomplete spinal cord injury and the HSC in the spinal cord is at C3 level or lower based on MRI. For other patients, close observation is necessary; generally, patients with complete SCI might require a tracheostomy more frequently.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. [No authors listed]. Spinal cord injury facts and figures at a glance. (2014) J Spinal Cord Med 37(4):479–480

  2. Berney S, Bragge P, Granger C, Opdam H, Denehy L (2011) The acute respiratory management of cervical spinal cord injury in the first 6 weeks after injury: a systematic review. Spinal Cord 49(1):17–29

    Article  CAS  PubMed  Google Scholar 

  3. Romero J, Vari A, Gambarrutta C, Oliviero A (2009) Tracheostomy timing in traumatic spinal cord injury. Eur Spine J 18(10):1452–1457

    Article  PubMed Central  PubMed  Google Scholar 

  4. Griffiths J, Barber VS, Morgan L, Young JD (2005) Systematic review and meta-analysis of studies of the timing of tracheostomy in adult patients undergoing artificial ventilation. BMJ 330(7502):1243

    Article  PubMed Central  PubMed  Google Scholar 

  5. Lissauer ME (2013) Benefit, timing and technique of tracheostomy. Curr Probl Surg 50(10):494–499

    Article  PubMed  Google Scholar 

  6. Durbin CG Jr (2010) Tracheostomy: why, when, and how? Respir Care 55(8):1056–1068

    PubMed  Google Scholar 

  7. Berney SC, Gordon IR, Opdam HI, Denehy L (2011) A classification and regression tree to assist clinical decision making in airway management for patients with cervical spinal cord injury. Spinal Cord 49(2):244–250

    Article  CAS  PubMed  Google Scholar 

  8. Yugué I, Okada S, Ueta T et al (2012) Analysis of the risk factors for tracheostomy in traumatic cervical spinal cord injury. Spine (Phila Pa 1976) 37(26):E1633–E1638

    Article  Google Scholar 

  9. Menaker J, Kufera JA, Glaser J, Stein DM, Scalea TM (2013) Admission ASIA motor score predicting the need for tracheostomy after cervical spinal cord injury. J Trauma Acute Care Surg 75(4):629–634

    Article  PubMed  Google Scholar 

  10. Harrop JS, Sharan AD, Scheid EH Jr, Vaccaro AR, Przybylski GJ (2004) Tracheostomy placement in patients with complete cervical spinal cord injuries: American Spinal Injury Association Grade A. J Neurosurg 100(1 Suppl Spine):20–23

    PubMed  Google Scholar 

  11. Leelapattana P, Fleming JC, Gurr KR, Bailey SI, Parry N, Bailey CS (2012) Predicting the need for tracheostomy in patients with cervical spinal cord injury. J Trauma Acute Care Surg 73(4):880–884

    Article  PubMed  Google Scholar 

  12. Nakashima H, Yukawa Y, Imagama S et al (2013) Characterizing the need for tracheostomy placement and decannulation after cervical spinal cord injury. Eur Spine J 22(7):1526–1532

    Article  PubMed Central  PubMed  Google Scholar 

  13. Maynard FM Jr, Bracken MB, Creasey G  et al (1997) International Standards for Neurological and Functional Classification of Spinal Cord Injury. American Spinal Injury Association. Spinal Cord 35(5):266–274

    PubMed  Google Scholar 

  14. Fehlings MG, Rao SC, Tator CH et al (1999) The optimal radiologic method for assessing spinal canal compromise and cord compression in patients with cervical spinal cord injury. Part II: results of a multicenter study. Spine (Phila Pa 1976) 24(6):605–613

    Article  CAS  Google Scholar 

  15. Furlan JC, Fehlings MG, Massicotte EM et al (2007) A quantitative and reproducible method to assess cord compression and canal stenosis after cervical spine trauma: a study of interrater and intrarater reliability. Spine (Phila Pa 1976) 32(19):2083–2091

    Article  Google Scholar 

  16. Miyanji F, Furlan JC, Aarabi B, Arnold PM, Fehlings MG (2007) Acute cervical traumatic spinal cord injury: MR imaging findings correlated with neurologic outcome—prospective study with 100 consecutive patients. Radiology 243(3):820–827

    Article  PubMed  Google Scholar 

  17. Kulkarni MV, McArdle CB, Kopanicky D et al (1987) Acute spinal cord injury: MR imaging at 1.5 T. Radiology 164(3):837–843

    Article  CAS  PubMed  Google Scholar 

  18. Book Breiman L, Friedman J, Stone C et al (1984) Classification and regression trees. Chapman and Hall, London

    Google Scholar 

  19. Kelley A, Garshick E, Gross ER, Lieberman SL, Tun CG, Brown R (2003) Spirometry testing standards in spinal cord injury. Chest 123(3):725–730

    Article  PubMed Central  PubMed  Google Scholar 

  20. Ditunno JF, Little JW, Tessler A, Burns AS (2004) Spinal shock revisited: a four-phase model. Spinal Cord 42(7):383–395

    Article  CAS  PubMed  Google Scholar 

  21. Dohoo IR, Ducrot C, Fourichon C (1997) An overview of techniques for dealing with large numbers of independent variables in epidemiologic studies. Prev Vet Med. 29(3):221–239

    Article  CAS  PubMed  Google Scholar 

  22. Winslow C, Bode RK, Felton D, Chen D, Meyer PR Jr (2002) Impact of respiratory complications on length of stay and hospital costs in acute cervical spine injury. Chest 121(5):1548–1554

    Article  PubMed  Google Scholar 

  23. Tator CH (1994) Ischemia as a secondary neural injury. In: Salzman SK, Faden AI (eds) Neurobiology of central nervous system trauma. Oxford University Press, New York, pp 209–215

    Google Scholar 

  24. Roquilly A, Seguin P, Mimoz O et al (2014) Risk factors for prolonged duration of mechanical ventilation in acute traumatic tetraplegic patients—a retrospective cohort study. J Crit Care 29(2):313.e7–313.e13

    Article  Google Scholar 

  25. Aarabi B, Harrop JS, Tator CH et al (2012) Predictors of pulmonary complications in blunt traumatic spinal cord injury. J Neurosurg Spine 17(1 Suppl):38–45

    PubMed  Google Scholar 

Download references

Acknowledgments

No funds were received in support of this work. No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript.

Conflict of interest

There is no actual or potential conflict of interest in relation to this article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fang Zhou.

Additional information

Y. F. Hou and Y. Lv contributed equally to the paper.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hou, Y.F., Lv, Y., Zhou, F. et al. Development and validation of a risk prediction model for tracheostomy in acute traumatic cervical spinal cord injury patients. Eur Spine J 24, 975–984 (2015). https://doi.org/10.1007/s00586-014-3731-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00586-014-3731-y

Keywords

Navigation