Impact of patient-related factors on complications when treating mandibular fractures by load-sharing and load-bearing osteosynthesis.

The British journal of oral & maxillofacial surgery(2023)

引用 0|浏览1
暂无评分
摘要
The decision about the choice of load-sharing (LS) or load-bearing (LB) osteosynthesis is determined by an interplay of fracture-related and patient-related factors. In some situations a similar fracture in two different patients may be treated successfully by either of these methods. Our aim was to identify preoperative patient-related factors that may assist in deciding which form of osteosynthesis is employed. All adult patients who underwent open reduction and internal fixation of mandibular fractures (excluding condyle) between 1 October 2018 and 1 June 2021 were retrospectively identified. The odds of developing postoperative complications and requiring a return to theatre (RTT) were calculated for each method of fixation together with the following patient factors: smoking, excess alcohol, substance misuse, and severe mental health issues. Of 337 fractures treated using LS principles, 27 (8%) developed complications, of which 20 (6%) required a RTT for repeat osteosynthesis. Of 74 fractures treated using LB principles, seven (10%) developed complications and two (3%) required a RTT for repeat osteosynthesis. The only patient factor that had statistically significant increased odds of a complication requiring RTT was LS osteosynthesis in patients who admitted drinking excess alcohol (OR = 7.83, p = 0.00, 95% CI = 3.13 to 19.60). Complications when treating mandibular fractures are rarely reported in the literature, and lack standardisation in their clinical significance. Figures generally represent overall numbers of patients, whereas the number of individual fractures treated is more accurate. In our study complications occurred in 8% of treated fractures and 10% of patients. The RTT rate was 7% of patients, which compares favourably with a recently stated standard of 10% of patients, as suggested by the Getting it Right First Time (GIRFT) report.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要