Therapeutics and Clinical Risk Management (Jun 2018)

Factors associated with union time of acute middle-third scaphoid fractures: an observational study

  • Zhao H,
  • Tian S,
  • Kong L,
  • Bai J,
  • Lu J,
  • Zhang B,
  • Tian D

Journal volume & issue
Vol. Volume 14
pp. 1127 – 1131

Abstract

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Hongfang Zhao,* Siyu Tian,* Lingde Kong,* Jiangbo Bai,* Jian Lu, Bing Zhang, Dehu Tian Department of Orthopedics, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, People’s Republic of China *These authors contributed equally to this work Background: The aim of this study was to investigate the union time of acute middle-third scaphoid fractures following treatments and to analyze the effect of different factors on late union.Patients and methods: We retrospectively reviewed patients with acute middle-third scaphoid fracture at our institution between January 2013 and December 2017. Patient demographics, fracture characteristics, and treatment strategy, such as age, gender, body mass index, habit of smoking, sides of injury, dominant hand, ulnar variance, multiple fractures, and treatment methods, were investigated. Univariate and multivariate analyses were used to identify possible predictive factors.Results: A total of 132 patients with scaphoid fracture were included in our study. Operation was performed in 67 patients (50.8%), and conservative treatment was performed in the other 65 patients (49.2%). The union time was 7.2±0.5 weeks. In the multivariate logistic regression analysis, late diagnosis (odds ratio, 1.247; 95% CI, 1.022–1.521) and conservative treatment method (odds ratio, 1.615; 95% CI, 1.031–2.528) were identified as 2 independent predictors of late union in scaphoid fractures patients. Other parameters were not demonstrated to be predictive factors.Conclusion: Late diagnosis and conservative treatment were two factors associated with late union. Long time of follow-up is necessary for patient with these factors. Keywords: predictive factors, union time, nonunion, scaphoid fractures, multivariable analysis

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