Skip to main content

Advertisement

Log in

Computed tomographic bone mineral density is independently associated with adverse in-hospital outcomes in Dutch level-1 trauma patients

  • Original Article
  • Published:
European Journal of Trauma and Emergency Surgery Aims and scope Submit manuscript

Abstract

Background

Aging, inactivity, and malnutrition are risk factors for adverse in-hospital outcomes and can manifest in bone loss. Use of bone mineral density (BMD) as an objective marker might improve early identification of patients at risk for complications.

Aim

To assess the association of computed tomography (CT) determined BMD values of the first lumbar vertebra with in-hospital complications and outcomes in trauma patients.

Methods

All consecutive hospitalized trauma patients (≥ 16 years) that underwent CT-imaging within 7 days of admission in 2017 were included. Patients with an active infection or antibiotic treatment upon admission, severe neurologic trauma, or an unassessable vertebra were excluded. BMD at the first lumbar vertebra was determined with CT by placing a circular region of interest in homogeneous trabecular bone to obtain mean Hounsfield Units (HU). Regression analyses were performed to assess the association of BMD with in-hospital complications and outcomes.

Results

In total, 410 patients were included (median age: 49 years [interquartile range 30–64], 68.3% men, mean BMD 159 ± 66 HU). A total of 94 complications, primarily infection-related, were registered in 74 patients. After adjustment for covariates, a decrease of BMD by one standard deviation was significantly associated with increased risk of complications (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.1–3.1), pneumonia (OR 2.2, 95% CI 1.2–4.5), delirium (OR 4.5, 95% CI 1.7–13.5), and intensive care unit (ICU) admission (OR 1.8, 95% CI 1.1–2.9).

Conclusion

Bone mineral density of the first lumbar vertebra is independently associated with in-hospital complications, pneumonia, delirium, and ICU admission. These findings could help identify patients at risk early.

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.

Fig. 1

Similar content being viewed by others

Data availability

The study data will not be made available.

Abbreviations

ASA:

American Society of Anesthesiologists

BMD:

Bone mineral density

CI:

Confidence interval

CT:

Computed tomography

DMV:

Days on mechanical ventilation

GOS:

Glasgow Outcome Scale

HLOS:

Hospital length of stay

HU:

Hounsfield Units

ICU:

Intensive care unit

ILOS:

ICU length of stay

IQR:

Interquartile range

ISS:

Injury Severity Score

L1/L2:

First/second lumbar vertebra

OR:

Odds ratio

ROI:

Region of interest

SD:

Standard deviation

Th12:

Twelfth thoracic vertebra

UMCU:

University Medical Center Utrecht

UTI:

Urinary tract infection

References

  1. Gunning AC, Lansink KW, van Wessem KJ, Balogh ZJ, Rivara FP, Maier RV, et al. Demographic patterns and outcomes of patients in Level I trauma centers in three international trauma systems. World J Surg. 2015;39(11):2677–84. https://doi.org/10.1007/s00268-015-3162-x.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Lansink KW, Gunning AC, Leenen LP. Cause of death and time of death distribution of trauma patients in a level I trauma centre in the Netherlands. Eur J Trauma Emerg Surg. 2013;39(4):375–83. https://doi.org/10.1007/s00068-013-0278-2.

    Article  CAS  PubMed  Google Scholar 

  3. Moore L, Lauzier F, Stelfox HT, Kortbeek J, Simons R, Bourgeois G, et al. Validation of complications selected by consensus to evaluate the acute phase of adult trauma care: a multicenter cohort study. Ann Surg. 2015;262(6):1123–9. https://doi.org/10.1097/SLA.0000000000000963.

    Article  PubMed  Google Scholar 

  4. Ingraham AM, Xiong W, Hemmila MR, Shafi S, Goble S, Neal ML, et al. The attributable mortality and length of stay of trauma-related complications: a matched cohort study. Ann Surg. 2010;252(2):358–62. https://doi.org/10.1097/SLA.0b013e3181e623bf.

    Article  PubMed  Google Scholar 

  5. Shafi S, Barnes S, Nicewander D, Ballard D, Nathens AB, Ingraham AM, et al. Health care reform at trauma centers–mortality, complications, and length of stay. J Trauma. 2010;69(6):1367–71. https://doi.org/10.1097/TA.0b013e3181fb785d.

    Article  PubMed  Google Scholar 

  6. Holbrook TL, Hoyt DB, Anderson JP. The impact of major in-hospital complications on functional outcome and quality of life after trauma. J Trauma. 2001;50(1):91–5. https://doi.org/10.1097/00005373-200101000-00016.

    Article  CAS  PubMed  Google Scholar 

  7. Correia MI, Waitzberg DL. The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis. Clin Nutr. 2003;22(3):235–9. https://doi.org/10.1016/s0261-5614(02)00215-7.

    Article  PubMed  Google Scholar 

  8. Mazzola P, Ward L, Zazzetta S, Broggini V, Anzuini A, Valcarcel B, et al. Association between preoperative malnutrition and postoperative delirium after hip fracture surgery in older adults. J Am Geriatr Soc. 2017;65(6):1222–8. https://doi.org/10.1111/jgs.14764.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Onerup A, Angenete E, Bonfre P, Borjesson M, Haglind E, Wessman C, et al. Self-assessed preoperative level of habitual physical activity predicted postoperative complications after colorectal cancer surgery: a prospective observational cohort study. Eur J Surg Oncol. 2019;45(11):2045–51. https://doi.org/10.1016/j.ejso.2019.06.019.

    Article  PubMed  Google Scholar 

  10. Fried LP, Darer J, Walston J. Geriatric medicine: an evidence-based approach. New York: Springer; 2003. p. 1067–76. https://doi.org/10.1007/0-387-22621-4_74.

    Book  Google Scholar 

  11. Baggiani M, Guglielmi A, Citerio G. Acute traumatic brain injury in frail patients: the next pandemic. Curr Opin Crit Care. 2022;28(2):166–75. https://doi.org/10.1097/MCC.0000000000000915.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Spiers GF, Patience Kunonga T, Hall A, Beyer F, Boulton E, Parker S, et al. Measuring frailty in younger populations: a rapid review of evidence. BMJ Open. 2021;11(3): e047051. https://doi.org/10.1136/bmjopen-2020-047051.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Kaplan SJ, Pham TN, Arbabi S, Gross JA, Damodarasamy M, Bentov I, et al. Association of radiologic indicators of frailty with 1-year mortality in older trauma patients: opportunistic screening for sarcopenia and osteopenia. JAMA Surg. 2017;152(2): e164604. https://doi.org/10.1001/jamasurg.2016.4604.

    Article  PubMed  Google Scholar 

  14. Joyce PR, O’Dempsey R, Kirby G, Anstey C. A retrospective observational study of sarcopenia and outcomes in critically ill patients. Anaesth Intensive Care. 2020;48(3):229–35. https://doi.org/10.1177/0310057X20922234.

    Article  PubMed  Google Scholar 

  15. Pickhardt PJ, Pooler BD, Lauder T, del Rio AM, Bruce RJ, Binkley N. Opportunistic screening for osteoporosis using abdominal computed tomography scans obtained for other indications. Ann Intern Med. 2013;158(8):588–95. https://doi.org/10.7326/0003-4819-158-8-201304160-00003.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Schreiber JJ, Anderson PA, Rosas HG, Buchholz AL, Au AG. Hounsfield units for assessing bone mineral density and strength: a tool for osteoporosis management. J Bone Joint Surg Am. 2011;93(11):1057–63. https://doi.org/10.2106/JBJS.J.00160.

    Article  PubMed  Google Scholar 

  17. Gravesteijn BY, Sewalt CA, Ercole A, Akerlund C, Nelson D, Maas AIR, et al. Toward a new multi-dimensional classification of traumatic brain injury: a collaborative European neurotrauma effectiveness research for traumatic brain injury study. J Neurotrauma. 2020;37(7):1002–10. https://doi.org/10.1089/neu.2019.6764.

    Article  PubMed  Google Scholar 

  18. Jang S, Graffy PM, Ziemlewicz TJ, Lee SJ, Summers RM, Pickhardt PJ. Opportunistic osteoporosis screening at routine abdominal and thoracic CT: normative L1 trabecular attenuation values in more than 20 000 adults. Radiology. 2019;291(2):360–7. https://doi.org/10.1148/radiol.2019181648.

    Article  PubMed  Google Scholar 

  19. Fernando SM, McIsaac DI, Rochwerg B, Bagshaw SM, Muscedere J, Munshi L, et al. Frailty and invasive mechanical ventilation: association with outcomes, extubation failure, and tracheostomy. Intensive Care Med. 2019;45(12):1742–52. https://doi.org/10.1007/s00134-019-05795-8.

    Article  PubMed  Google Scholar 

  20. Banaszek D, Inglis T, Marion TE, Charest-Morin R, Moskven E, Rivers CS, et al. Effect of frailty on outcome after traumatic spinal cord injury. J Neurotrauma. 2020;37(6):839–45. https://doi.org/10.1089/neu.2019.6581.

    Article  PubMed  Google Scholar 

  21. Joseph B, Orouji Jokar T, Hassan A, Azim A, Mohler MJ, Kulvatunyou N, et al. Redefining the association between old age and poor outcomes after trauma: the impact of frailty syndrome. J Trauma Acute Care Surg. 2017;82(3):575–81. https://doi.org/10.1097/TA.0000000000001329.

    Article  PubMed  Google Scholar 

  22. Kostakopoulos NA, Karakousis ND, Moschotzopoulos D. Frailty associated urinary tract infections (FaUTIs). J Frailty Sarcopenia Falls. 2021;6(1):9–13. https://doi.org/10.22540/JFSF-06-009.

    Article  PubMed  PubMed Central  Google Scholar 

  23. McCusker A, Khan M, Kulvatunyou N, Zeeshan M, Sakran JV, Hayek H, et al. Sarcopenia defined by a computed tomography estimate of the psoas muscle area does not predict frailty in geriatric trauma patients. Am J Surg. 2019;218(2):261–5. https://doi.org/10.1016/j.amjsurg.2018.07.024.

    Article  PubMed  Google Scholar 

  24. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56. https://doi.org/10.1093/gerona/56.3.m146.

    Article  CAS  PubMed  Google Scholar 

  25. Hamidi M, Zeeshan M, O’Keeffe T, Nisbet B, Northcutt A, Nikolich-Zugich J, et al. Prospective evaluation of frailty and functional independence in older adult trauma patients. Am J Surg. 2018;216(6):1070–5. https://doi.org/10.1016/j.amjsurg.2018.10.023.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Our special thanks go out to Sandra A Wilson for her help in reviewing the manuscript on grammar and linguistics. Her efforts greatly increased the readability of the manuscript and the delivery of its message.

Funding

No funding was received in connection to this study.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, all authors; methodology, TK, AS, PdJ, and MvB.; formal analysis, TK, and AS; investigation, TK, AS, and SV; writing—original draft preparation, TK, and AS; writing—review & editing, SV, RH, WV, LL, PdJ, and MvB; visualization, TK, and AS; supervision, RH, WV, LL, PdJ, and MvB. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Tim Kobes.

Ethics declarations

Conflict of interest

None of the declarations of interest posed any conflict with conducting this study. Pim de Jong is a consultant for Sanifit and InoZyme. Wouter Veldhuis is co-founder of Quantib-U, a spin-off from the University Medical Center Utrecht. The Department of Radiology at the University Medical Center Utrecht is receiving research support from Philips Healthcare.

Ethical approval

Ethical approval was waived by the medical ethical committee of the University Medical Center Utrecht in view of the retrospective nature of the study and all the procedures being performed were part of routine care.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 26 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kobes, T., Sweet, A.A.R., Verstegen, S.B.H. et al. Computed tomographic bone mineral density is independently associated with adverse in-hospital outcomes in Dutch level-1 trauma patients. Eur J Trauma Emerg Surg 49, 1393–1400 (2023). https://doi.org/10.1007/s00068-022-02175-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00068-022-02175-8

Keywords

Navigation