Do knee alignment patterns differ between Middle Eastern and East Asian populations? A propensity-matched analysis using artificial intelligence.

IF 4.4 Q2 Medicine
Jisoon Park, Oussama Chaar, Jayakrishnan Narayanakurup, Alamedin Sobhe Abdelsamea Abdelhamead, Du Hyun Ro, Sung Eun Kim
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Abstract

Introduction: Population-based differences in knee alignment patterns may impact osteoarthritis (OA) progression. This study compares lower extremity alignment in knee OA between Middle Eastern (UAE) and East Asian (South Korean) populations using artificial intelligence (AI)-assisted analysis.

Methods: A retrospective review included patients with knee symptoms from South Korea (2009-2019) and the United Arab Emirates (UAE) (2015-2024). Exclusion criteria comprised prior knee surgeries, significant bony attrition, and low-quality radiographs. Propensity score matching controlled for age and sex differences between populations. Alignment parameters (hip-knee-ankle angle (HKA), medial proximal tibial angle (MPTA), lateral distal femoral angle (LDFA), and joint line convergence angle (JLCA)) and OA severity (Kellgren-Lawrence (KL) grade) were measured using artificial intelligence (AI) software, along with the analysis of coronal plane alignment of the knee (CPAK) classification. Subanalyses by sex and age group (under 40, 40-60, and over 60 years) were also conducted.

Results: A total of 1098 UAE and 7138 South Korean patients (2196 and 14,276 knees, respectively) were evaluated in this study. Post-matching (1:2), body mass index was significantly higher in UAE patients (p < 0.001). CPAK type 1 was predominant in UAE male patients (42.4%), whereas type 2 was more common in South Korean male patients (30.6%). Female patients in both populations predominantly exhibited CPAK type 2 (UAE 30.6%; South Korea 35.3%). UAE patients showed a lower MPTA with increasing age, indicating a trend toward more varus alignment in older individuals.

Conclusions: A propensity score-matched analysis revealed significant alignment differences between Middle Eastern and East Asian populations, underscoring the importance of population-specific considerations in OA management.

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中东和东亚人群的膝关节排列模式不同吗?使用人工智能进行倾向匹配分析。
基于人群的膝关节排列模式差异可能影响骨关节炎(OA)的进展。本研究使用人工智能(AI)辅助分析比较了中东(阿联酋)和东亚(韩国)人群膝关节OA的下肢对齐。方法:回顾性分析来自韩国(2009-2019)和阿拉伯联合酋长国(阿联酋)(2015-2024)的膝关节症状患者。排除标准包括既往膝关节手术、明显骨磨损和低质量x线片。倾向评分匹配控制了人群之间的年龄和性别差异。使用人工智能(AI)软件测量对齐参数(髋关节-膝关节-踝关节角(HKA)、胫骨内侧近端角(MPTA)、股骨外侧远端角(LDFA)和关节线会聚角(JLCA))和骨性关节炎严重程度(kell格林-劳伦斯(KL)分级),并分析膝关节冠状面对齐(CPAK)分类。按性别和年龄组(40岁以下、40-60岁和60岁以上)进行了亚分析。结果:本研究共评估了1098名阿联酋患者和7138名韩国患者(分别为2196和14276个膝关节)。匹配后(1:2),阿联酋患者的体重指数明显更高(p)。结论:倾向评分匹配分析揭示了中东和东亚人群的显著对齐差异,强调了OA管理中人群特异性考虑的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
42
审稿时长
19 weeks
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