Predictors of Non-Union in Long Bone Fractures Following High-Energy Trauma: A Prospective Cohort Study.

Authors

  • Rishabh Agarwal Assistant Professor Department- Orthopedics Medical College- Uttar Pradesh Institute of medical sciences, India
  • Dr Ruchika Thakur Senior Resident Department- Physiology Medical College- Uttar Pradesh Institute of medical sciences, India
  • Atul Saroj Assistant professor Department of orthopaedic Dr Sonelal Patel Autonomous State Medical, Pratapgarh, Uttarpradesh, India
  • Dr Aman Srivastava Senior Resident Orthopedics Uttar Pradesh Institute of Medical Sciences, India
  • Rajeev Kumar Assistant Professor Orthopaedics Uttar Pradesh Institute of Medical Sciences, India

DOI:

https://doi.org/10.51168/sjhrafrica.v7i3.2594

Keywords:

Long bone fractures, Non-union, High-energy trauma, Fracture healing, Postoperative infection, Delayed surgery

Abstract

Background:

Non-union of long bone fractures is a serious complication of high-energy trauma, resulting in prolonged disability, impaired functional outcomes, and increased healthcare costs. Early identification of predictors of non-union may facilitate timely interventions and improve fracture healing.

Methods:

This prospective cohort study was conducted in the Department of Orthopedics at Uttar Pradesh University of Medical Sciences, Saifai, Etawah, over 18 months. A total of 72 patients with long bone fractures following high-energy trauma were enrolled. Clinical, radiological, and treatment-related variables were recorded. Patients were followed for 12 months to assess fracture healing. Non-union was defined as the absence of radiological union with persistent clinical symptoms. Univariate and multivariate logistic regression analyses were performed to identify predictors of non-union.

Results:

The mean age of participants was 41.8±13.6 years, and 75.0% (n=54) were males. The tibia was the most commonly affected bone (38.9%). Overall, 17 patients (23.6%) developed non-union. Non-union was significantly associated with open fractures (p=0.002), smoking (p=0.01), diabetes mellitus (p=0.03), postoperative infection (p<0.001), and delayed surgery >48 hours (p=0.01). Multivariate analysis identified postoperative infection (adjusted OR=5.8, 95% CI: 2.1-15.9; p<0.001) and delayed surgery >48 hours (adjusted OR=3.4, 95% CI: 1.2-9.6; p=0.02) as independent predictors of non-union.

Conclusion:

Non-union in long bone fractures is strongly associated with modifiable factors, particularly postoperative infection and delayed surgical intervention. Early surgery and effective infection control may significantly improve fracture healing outcomes.

Recommendation:

Early surgical stabilization and stringent infection prevention measures should be prioritized in patients with high-energy long bone fractures to reduce the risk of non-union.

References

Calori GM, Phillips M, Jeetle S, Tagliabue L, Giannoudis PV. Classification of nonunion: what is the need and how to proceed? Injury. 2008;39(Suppl 2):S59-S63. https://doi.org/10.1016/S0020-1383(08)70016-0

Hak DJ, Fitzpatrick D, Bishop JA, Marsh JL, Tilp S, Schnettler R, et al. Delayed union and non-unions epidemiology, clinical issues, and financial aspects. Injury. 2014;45(Suppl 2):S3-S7. https://doi.org/10.1016/j.injury.2014.04.002

Zura R, Xiong Z, Einhorn T, Watson JT, Ostrum RF, Prayson MJ, et al. Epidemiology of fracture nonunion in 18 human bones. JAMA Surg. 2016;151(11):e162775. https://doi.org/10.1001/jamasurg.2016.2775

Giannoudis PV, Einhorn TA, Marsh D. Fracture healing: the diamond concept. Injury. 2007;38(Suppl 4):S3-S6. https://doi.org/10.1016/S0020-1383(08)70003-2

Court-Brown CM, Caesar B. Epidemiology of adult fractures: a review. Injury. 2006;37(8):691-697. https://doi.org/10.1016/j.injury.2006.04.130

Schmitz MA, Finnegan M, Natarajan R, Champine J. Effect of smoking on tibial shaft fracture healing. Clin Orthop Relat Res. 1999;(365):184-200. https://doi.org/10.1097/00003086-199908000-00024

Gaston MS, Simpson AH. Inhibition of fracture healing. J Bone Joint Surg Br. 2007;89(12):1553-1560. https://doi.org/10.1302/0301-620X.89B12.19671

Patel RA, Wilson RF, Patel PA, Palmer RM. The effect of smoking on bone healing: a systematic review. Bone Joint Res. 2013;2(6):102-111. https://doi.org/10.1302/2046-3758.26.2000142

Loder RT. The influence of diabetes mellitus on the healing of closed fractures. Clin Orthop Relat Res. 1988;(232):210-216. https://doi.org/10.1097/00003086-198807000-00028

Gustilo RB, Anderson JT. Prevention of infection in the treatment of one thousand and twenty-five open fractures of long bones: retrospective and prospective analyses. J Bone Joint Surg Am. 1976;58(4):453-458. https://doi.org/10.2106/00004623-197658040-00004

Claes L, Recknagel S, Ignatius A. Fracture healing under healthy and inflammatory conditions. Nat Rev Rheumatol. 2012;8(3):133-143. https://doi.org/10.1038/nrrheum.2012.1

Mills LA, Simpson AH. The risk of nonunion per fracture: a systematic review. Injury. 2013;44(10):1330-1337.

Brinker MR, O'Connor DP. The incidence of fractures and dislocations referred for orthopedic services in a capitated population. J Bone Joint Surg Am. 2004;86(2):290-297. https://doi.org/10.2106/00004623-200402000-00011

Patzakis MJ, Wilkins J. Factors influencing infection rate in open fracture wounds. Clin Orthop Relat Res. 1989;(243):36-40. https://doi.org/10.1097/00003086-198906000-00006

Metsemakers WJ, Kuehl R, Moriarty TF, Richards RG, Verhofstad MH, Borens O, et al. Infection after fracture fixation: current surgical and microbiological concepts. Injury. 2018;49(3):511-522. https://doi.org/10.1016/j.injury.2016.09.019

Pape HC, Giannoudis PV, Krettek C. Timing of fixation of major fractures in blunt polytrauma: role of early total care and damage control surgery. J Am Acad Orthop Surg. 2005;13(2):95-106.

Castillo RC, Bosse MJ, MacKenzie EJ, Patterson BM. Impact of smoking on fracture healing and risk of complications. J Orthop Trauma. 2005;19(3):151-157. https://doi.org/10.1097/00005131-200503000-00001

Folk JW, Starr AJ, Early JS. Early wound complications of operative treatment of calcaneus fractures: analysis of 190 fractures. J Orthop Trauma. 1999;13(5):369-372. https://doi.org/10.1097/00005131-199906000-00008

Bhandari M, Guyatt GH, Swiontkowski MF, Tornetta P, Sprague S, Schemitsch EH. Treatment of open fractures of the shaft of the tibia: a systematic overview and meta-analysis. J Bone Joint Surg Br. 2001;83(1):62-68. https://doi.org/10.1302/0301-620X.83B1.0830062

Giannoudis PV, Tzioupis C. Clinical applications of bone morphogenetic proteins: surgical aspects and future perspectives. Injury. 2005;36(Suppl 3):S28-S36. https://doi.org/10.1016/j.injury.2005.07.035

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Published

2026-03-30

How to Cite

Agarwal, R. ., Thakur, D. R. ., Saroj, A. ., Srivastava, D. A. ., & Kumar, R. . (2026). Predictors of Non-Union in Long Bone Fractures Following High-Energy Trauma: A Prospective Cohort Study. Student’s Journal of Health Research Africa, 7(3), 8. https://doi.org/10.51168/sjhrafrica.v7i3.2594

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Section

Section of Orthopedics

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