医学
美容
外科
脚踝
可视模拟标度
距下关节
随机对照试验
关节融合术
病理
替代医学
作者
Chamnanni Rungprai,Aekachai Jaroenarpornwatana,Nusorn Chaiprom,Phinit Phisitkul,Yantarat Sripanich
标识
DOI:10.1177/10711007211047239
摘要
Open subtalar arthrodesis is the standard treatment for subtalar arthritis. Posterior arthroscopic subtalar arthrodesis (PASTA) has recently gained increasing popularity due to a shorter recovery time and better cosmesis. However, studies comparing outcomes and complications between these 2 techniques are limited.In total, 56 patients with subtalar joint arthritis were prospectively randomized to 2 parallel groups to receive either PASTA (n = 28 patients) or open subtalar arthrodesis (n = 28 patients). The minimum follow-up period was 12 months. Primary outcome was union rate confirmed on postoperative computed tomography (CT) scan. Secondary outcomes were union time; visual analog scale (VAS), Short Form-36 (SF-36), and Foot and Ankle Ability Measure (FAAM) scores; tourniquet time; and complications.Union time (9.4 vs 12.8 weeks) and recovery time (time to return to activities of daily living [8.4 vs 10.8 weeks], work [10.6 vs 12.9 weeks], and sports [24.9 vs 32.7 weeks]) were significantly shorter with PASTA than with the open technique (P < .05 all). Both techniques led to significant improvements in all functional outcomes (FAAM, SF-36, and VAS scores; P < .01 all); however, there was no significant difference between the techniques in these outcomes (P > .05 all). Other outcomes, including tourniquet time (55.8 vs 67.2 min), union rate (96.3% vs 100%), and complication rate, were not significantly different between the techniques.Both open and PASTA techniques led to significant improvements in pain and function in patients with isolated subtalar joint arthritis. Although short-term functional outcomes and complication rates were not significantly different between the techniques, the PASTA technique was better at shortening the union and recovery times.Level I, prospective multicenter randomized controlled trial.
科研通智能强力驱动
Strongly Powered by AbleSci AI