胫骨平台骨折的 AO、Schatzker 和三柱分类系统比较:对功能结果的影响。

IF 1.9 Q2 ORTHOPEDICS
Joint diseases and related surgery Pub Date : 2024-01-01 Epub Date: 2023-11-02 DOI:10.52312/jdrs.2023.1256
Eşref Selçuk, Murat Erem, Cem Çopuroğlu, Mert Özcan, Mert Çiftdemir
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引用次数: 0

摘要

研究目的本研究旨在比较胫骨平台骨折的AO、Schatzker和三柱分类系统,重点关注其对不同创伤类型的预后和功能结果预测以及对临床决策的影响:在这项回顾性研究中,我们对 2011 年 1 月至 2017 年 1 月期间 49 名胫骨平台骨折患者(36 名男性,11 名女性;平均年龄:40.6±11.8 岁;范围:19 至 67 岁)进行了检查。骨折采用 AO、Schatzker 和三柱系统进行分类。主要结果测量包括功能评分(膝关节损伤和骨关节炎结果评分[KOOS]、特殊外科医院[HSS])、活动范围(ROM)、住院时间、大腿萎缩、手术时间和骨关节炎的发展。此外,还评估了吸烟的影响:结果:根据AO分类,B型骨折的KOOS和HSS评分高于C型骨折(P=0.013和P=0.007)。根据 Schatzker 分类法,低能量骨折的 KOOS 和 HSS 评分高于高能量骨折(分别为 p=0.013 和 p=0.026)。单柱骨折的 KOOS 和 HSS 评分高于双柱和三柱骨折(分别为 p=0.007 和 p=0.001)。与其他柱状骨折相比,两柱骨折的ROM较低(P=0.022)。Schatzker低能量骨折的住院时间较短(p=0.016),而Schatzker高能量骨折(p=0.022)和AO C型骨折(p=0.018)的大腿萎缩程度较高。AO C型骨折(p=0.037)和Schatzker高能量骨折(p=0.017)的手术时间较长。根据 Kellgren-Lawrence 分类,AO C 型骨折和三柱骨折的预后较差(分别为 p=0.039 和 p=0.001)。吸烟对所有组别的 KOOS 和 HSS 功能评分均有负面影响(分别为 p=0.022 和 p=0.001):本研究强调了 AO、Schatzker 和三柱分类系统在确定胫骨平台骨折的功能性结果和临床数据方面的预测价值。每种系统对不同的结果都有独特的见解,这表明同时应用这三种系统可以获得更全面的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of AO, Schatzker, and three-column classification systems in tibial plateau fractures: Impact on functional outcomes.

Objectives: This study aimed to compare the AO, Schatzker, and Three-Column classification systems for tibial plateau fractures, focusing on their prognostic and functional outcome prediction and influence on clinical decisions across different trauma types.

Patients and methods: In this retrospective study, we examined 49 patients (36 males, 11 females; mean age: 40.6±11.8 years; range, 19 to 67 years) with tibial plateau fractures between January 2011 and January 2017. The fractures were classified using the AO, Schatzker, and three-column systems. The main outcome measurements included functional scores (Knee Injury and Osteoarthritis Outcome Score [KOOS], Hospital for Special Surgery [HSS]), range of motion (ROM), duration of hospitalization, thigh atrophy, operation time, and the development of osteoarthritis. The impact of smoking was also assessed.

Results: According to the AO classification, type B fractures obtained higher KOOS and HSS scores compared to type C fractures (p=0.013 and p=0.007, respectively). According to the Schatzker classification low-energy fractures achieved higher KOOS and HSS scores than high-energy fractures (p=0.013 and p=0.026, respectively). One-column fractures had higher KOOS and HSS scores compared to two-column and three-column fractures (p=0.007 and p=0.001, respectively). Two-column fractures had a lower ROM compared to other column fractures (p=0.022). Shorter hospital stays were recorded for Schatzker low-energy fractures (p=0.016), whereas higher thigh atrophy was found in Schatzker high-energy fractures (p=0.022) and AO type C fractures (p=0.018). Longer operation times were observed in AO type C fractures (p=0.037) and Schatzker high-energy fractures (p=0.017). According to the Kellgren-Lawrence classification, AO type C fractures and three-column fractures yielded worse outcomes (p=0.039 and p=0.001, respectively). Smoking had a negative impact on functional KOOS and HSS scores across all groups (p=0.022 and p=0.001, respectively).

Conclusion: This study highlights the predictive value of the AO, Schatzker, and Three-Column classification systems in determining functional outcomes and clinical data in tibial plateau fractures. Each system provides unique insights into different outcomes, suggesting their concurrent application may yield a more comprehensive prognosis.

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