| Literature DB >> 34966500 |
W Q Chao1, M Z Azman1, S A Rosdi1, Taw Tuan-Mustafa1, Y J Tan1, S Abdullah1, A N Aizuddin1.
Abstract
INTRODUCTION: Distal radial fracture is a commonly encountered fracture. This study aims to study the epidemiology of distal radial fracture and factors affecting the patients' functional outcome one to two years after the injury.Entities:
Keywords: conservative treatment; emergency medicine; non-surgical treatment; radius fractures; wrist
Year: 2021 PMID: 34966500 PMCID: PMC8667256 DOI: 10.5704/MOJ.2111.013
Source DB: PubMed Journal: Malays Orthop J ISSN: 1985-2533
Fig 1:Shows the selection of the participants for the research.
Shows the breakdown of treatment modalities of the patients with respect to the type of fracture
| Type of Fracture | Treatment Modalities | Total | ||
|---|---|---|---|---|
| Non-surgical | Surgery | |||
| A | n | 67 | 13 | 80 |
| % | 83.8% | 16.2% | 100% | |
| B | n | 10 | 7 | 17 |
| % | 58.8% | 41.2% | 100% | |
| C | n | 46 | 32 | 78 |
| % | 59.0% | 41.0% | 100% | |
Comparison between different variable with respect to the DASH scores
| Factors | Groups | n | Mean Rank | Mean DASH score | p value |
|---|---|---|---|---|---|
| Gender | Male | 61 | 48.7 | 11.7 ± 7.5 | p=0.01* |
| Female | 49 | 63.6 | 16.2 ± 7.7 | ||
| Ethnicity | Malay | 59 | 54.7 | 12.6 ± 6.9 | p=0.678 |
| Chinese | 36 | 57.6 | 15.9 ± 8.1 | ||
| Indian | 7 | 43.1 | 17.0 ± 12.8 | ||
| Others | 8 | 60.8 | 9.2 ± 5.8 | ||
| Type of fracture: | Open | 10 | 69.9 | 17.3 ± 7.7 | p=0.135 |
| Closed | 100 | 54.1 | 13.4 ± 7.8 | ||
| Type of fracture | AO Type A | 45 | - | 11.3 ± 8.0 | p=0.007* |
| AO Type B | 9 | - | 11.9 ± 3.8 | ||
| AO Type C | 56 | - | 16.0 ± 7.6 | ||
| Treatment Modalities | Conservative | 75 | 51.2 | 11.8 ± 7.4 | p=0.03* |
| Surgery | 35 | 65.2 | 17.8 ± 7.4 | ||
| Mechanism of Injury | MVA | 43 | 50.2 | 13.0 ± 7.9 | p=0.271 |
| Fall | 63 | 59.9 | 14.2 ± 8.0 | ||
| Sport Injury | 2 | 30.5 | 17.1 ± 6.5 | ||
| Others | 2 | 72.0 | 11.3 ± 7.9 |
*: p<0.05, there is significant difference between the groups
Fig 2:Shows the correlation between age and DASH Score. It shows Pearson coefficient = 0.407, r2= 0.166. There is weak positive correlation between DASH score and age of patients.
Comparison of DASH score between the different treatment modalities in different types of fracture
| AO classification | Treatment | n | Mean DASH score | p value |
|---|---|---|---|---|
| A | Non-surgical | 36 | 10.3 ± 7.7 | p=0.094 |
| Surgery | 9 | 15.3 ± 8.4 | ||
| B | Non-surgical | 5 | 9.7 ± 2.4 | p=0.043* |
| Surgery | 4 | 14.6 ± 3.6 | ||
| C | Non-surgical Surgery | 34 | 13.8 ± 7.1 | p=0.007* |
| 22 | 19.3 ± 7.4 |
*: p<0.05, there is significant difference between the groups