| Literature DB >> 29950849 |
Hongfang Zhao1, Siyu Tian1, Lingde Kong1, Jiangbo Bai1, Jian Lu1, Bing Zhang1, Dehu Tian1.
Abstract
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.Entities:
Keywords: multivariable analysis; nonunion; predictive factors; scaphoid fractures; union time
Year: 2018 PMID: 29950849 PMCID: PMC6016271 DOI: 10.2147/TCRM.S169310
Source DB: PubMed Journal: Ther Clin Risk Manag ISSN: 1176-6336 Impact factor: 2.423
Figure 1The Herbert classification of middle-third fractures: B1 distal oblique fracture and B2 complete waist fracture.
Classification of type B scaphoid fractures according to the Herbert classification
| Type B fractures | Acute unstable fractures |
| B1 fracture | Distal oblique fracture |
| B2 fracture | Displaced or mobile fractures of waist |
Comparison of variables between early union and late union patients with scaphoid fractures
| Variable | Early union group | Late union group | |
|---|---|---|---|
| Number | 89 | 43 | |
| Age (years) | 24.8±5.3 | 25.2±4.8 | 0.676 |
| Gender | 0.655 | ||
| Male | 68 | 35 | |
| Female | 21 | 8 | |
| BMI (kg/m2) | 24.1±6.4 | 25.4±6.1 | 0.271 |
| Smoking | 0.852 | ||
| Yes | 37 | 17 | |
| No | 52 | 26 | |
| Side of injury | 0.853 | ||
| Left | 42 | 19 | |
| Right | 47 | 24 | |
| Dominant hand | 0.712 | ||
| Yes | 49 | 22 | |
| No | 40 | 21 | |
| Late diagnosis | 0.036 | ||
| Yes | 9 | 11 | |
| No | 80 | 32 | |
| Ulnar variance | 0.685 | ||
| Yes | 25 | 14 | |
| No | 64 | 29 | |
| Multiple fractures | 0.728 | ||
| Yes | 6 | 4 | |
| No | 83 | 39 | |
| Herbert classification | 0.089 | ||
| B1 | 14 | 2 | |
| B2 | 75 | 41 | |
| Treatment | 0.015 | ||
| Operative | 52 | 15 | |
| Nonoperative | 37 | 28 |
Abbreviation: BMI, body mass index.
Multivariate logistic regression analysis of predictive factors associated with late union in acute scaphoid fractures
| Variable | OR | CI | |
|---|---|---|---|
| Late diagnosis | 1.247 | 1.022–1.521 | 0.012 |
| Herbert B1 type fracture | 0.894 | 0.789–1.012 | 0.176 |
| Conservative treatment | 1.615 | 1.031–2.528 | 0.026 |
Abbreviation: OR, odds ratio.