医学
内固定
跟骨
射线照相术
外科
固定(群体遗传学)
距下关节
脚踝
人口
环境卫生
作者
Gi Beom Kim,Jeong-Jin Park,Chul Hyun Park
标识
DOI:10.1177/10711007221092761
摘要
Background: To compare the clinical and radiographic outcomes between the conventional delayed and staged approaches for intra-articular calcaneus fractures in which early definite fixation could not be performed because of severe soft tissue injury. Methods: From January 2015 to May 2019, a total of 32 cases with acute intra-articular calcaneal fractures met criteria and were enrolled in the study. We compared the outcomes of intra-articular calcaneal fractures that underwent delayed internal fixation between groups treated with a conventional delayed approach (non-EF group) vs a temporary medial external fixation (EF group). Clinical outcome measures included a 10-point visual analog scale score, the AOFAS score, and the Foot Function Index. Radiographic outcome measures included Böhler angle, talar declination angle, and calcaneal width. Reduction of the posterior facet was assessed on CT scans. Results: The first 15 (46.9%) were treated with a conventional delayed approach, and the latter 17 (53.1%) were treated with a staged approach with temporary medial external fixation. Clinical outcomes were not different between the groups at the last follow-up. The time from injury to definite internal fixation was shorter by an average of 3.8 days in the EF group ( P = .001). The Böhler angle, talar declination angle, and calcaneal width were not different between the groups before surgery and at the last follow-up. Reduction of the posterior facet on CT scans was significantly better in the EF group than in the non-EF group (good/excellent = 94% vs 60%, respectively, P = .033). Conclusion: The staged approach using medial external fixation for displaced intra-articular calcaneus fractures could be an effective method to decrease the time to definitive internal fixation and obtain optimal reduction of the posterior facet. Level of Evidence: Level III, retrospective case-control study.
科研通智能强力驱动
Strongly Powered by AbleSci AI