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BABY-Knee算法在骨骼未成熟前交叉韧带损伤患者治疗决策中的外部验证:一项荷兰队列研究

Journal of experimental orthopaedics · 2026-Jul
阅读数 0
Ito Annika Babette, Janssen Rob Paulus Augustinus, Croes Stijn Thomas Henricus, Voskuilen Robin Nicolaas Julian, Grassi Alberto, van der Steen Maria Christine et al.

简介

一项荷兰队列研究对BABY-Knee算法进行外部验证,回顾性应用于109例骨骼未成熟ACL损伤患者并与2018年IOC共识推荐的治疗方案比较。结果显示该算法预测效能显著低于原始意大利人群的内部验证结果(阳性预测值51.1%或31.9% vs 91.7%),且算法推荐与实际治疗存在显著差异(p=0.003)。提示BABY-Knee算法不能直接跨人群套用于骨骼未…

英文摘要

PURPOSE: The aim of this study was to investigate the external validity of the Best anterior cruciate ligament (ACL)-treatment Based on the Years of the Knee (BABY-Knee) Algorithm, developed based on an Italian population and to assess its applicability to a Dutch patient population treated in accordance with the 2018 International Olympic Committee (IOC) consensus statement. METHODS: A total of 109 skeletally immature patients with ACL injuries were included from the Dutch contribution to the European Society of Sport Traumatology, Knee Surgery and Arthroscopy (ESSKA) Paediatric Monitoring Initiative (PAMI). The BABY-Knee Algorithm was retrospectively applied to all patients, and corresponding scores were calculated. The predictive performance of the BABY-Knee Algorithm was assessed using the validation approach of the original validation study and an additional failure criterion based on hard clinical endpoints. Results were compared with the previously reported results. RESULTS: Of the 109 patients included, 78 (71.6%) were treated non-operatively, while the remaining 31 (28.4%) underwent operative treatment. However, according to the algorithm, 34 patients (31.2%) had a score of <3, indicating non-operative treatment, whereas 75 patients (68.8%) had a score of ≥3, indicating operative treatment. A statistically significant difference was observed between the algorithm's prediction and the performed treatment (p = 0.003). The original internal validation study reported a positive predictive value (PPV) of 91.7% and a negative predictive value (NPV) of 87.5%. In contrast, application of the BABY-Knee Algorithm to the present study population resulted in a PPV of 51.1% or 31.9% and an NPV of 64.5% or 67.7%, depending on the applied definition of failure. CONCLUSION: The external validation of the BABY-Knee Algorithm showed inferior predictive performance compared with the original internal validation study in an Italian population. These findings suggest that the BABY-Knee Algorithm is not directly applicable to other populations of skeletally immature patients with ACL injuries. LEVEL OF EVIDENCE: Level III.

关键词

2018 IOC consensus statement ACL injury BABY‐Knee Algorithm decision support paediatric

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