Evidence map›Paper›PMID 39593018›Full record

ArticleBMC musculoskeletal disorders2024

Application of digital classification based on AO classification in floating knee injury.

Nan Zhou, Xingkai Zhang, Hongzhi Liu, Gangqiang Du, Dongyang Zhao, Zeyue Geng, Mingliang Ma, Zhigang Wang

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Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Nan ZhouDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China.
Xingkai ZhangDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China.
Hongzhi LiuDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China.
Gangqiang DuDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China.
Dongyang ZhaoDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China.
Zeyue GengDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China.
Mingliang MaDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China. byfymml@126.com.
Zhigang WangDepartment of Orthopaedic Trauma, Binzhou Medical University Hospital, No.661 Huanghe 2Nd Road, Binzhou, 256603, Shandong, China. wangzghn@163.com.

Funding

Development Plan of Medical and Health Science Technology in Shandong Province 2017WS229Development Plan of Medical and Health Science Technology in Shandong Province 202004070551
6 · The paper itself

Abstract

objectiveA digital classification system based on AO classification was adopted to study and summarize different types of floating knee injuries.

methodsOne hundred cases with a floating knee injury from March 2005 to December 2020 were collected, including 74 males and 26 females with an average age of 43.74 years. The distribution of the affected limbs in there were 51 cases (51.0%) on the left and 46 cases (46.0%) on the right, as well as 3 cases (3.0%) that got bilaterally affected limbs. The femora and tibiae in this system were divided into three parts separately based on the AO classification, which was finally composed of six types after pairwise combination. The images in this study would be analyzed by using the classification to summarize the distribution rules of the classification in a floating knee injury.

resultsThe proportion of I-VI type injury was 42.7%(44/103) in type I, 18.4%(19/103) in type II, 9.7%(10/103) in type III, 10.7%(11/103) in type IV, 11.7%(12/103) in type V, and 6.8%(7/103) in type VI.

conclusionsThe digital classification system of floating knee injury based on AO classification could classify most cases of floating knee injury and cases with open injury, which referred to a reference effectively for the selection of surgical treatment plan, and would be conducive to the future clinical classification.

Indexed as

Knee InjuriesAdolescentAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultAO classificationClassificationFemoral fractureFloating knee injuryTibial fracture

Identifiers

PMID39593018
PMCPMC11600634

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