Evidence map›Paper›PMID 39896861›Full record

ArticleJournal of orthopaedics2025

Dynamic patterns of varus deformity among osteoarthritic knees during computer-navigation assisted total knee arthroplasty and their surgical implications.

Apurve Parameswaran, Abhijith Annasamudram, Deepak Gautam, Sunil Apsingi, Chandra Sekhar Dannana, Krishna Kiran Eachempati

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Article in Journal of orthopaedics, 2025. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Apurve ParameswaranDepartment of Orthopaedics, Medicover Hospitals, HITEC City, Hyderabad, Telangana, India.
Abhijith AnnasamudramDepartment of Orthopaedics, Medicover Hospitals, HITEC City, Hyderabad, Telangana, India.
Deepak GautamDepartment of Orthopaedics, BVP Medicover Hospital, Navi Mumbai, Maharashtra, India.
Sunil ApsingiDepartment of Orthopaedics, Medicover Hospitals, HITEC City, Hyderabad, Telangana, India.
Chandra Sekhar DannanaDepartment of Orthopaedics, Medicover Hospitals, HITEC City, Hyderabad, Telangana, India.
Krishna Kiran EachempatiDepartment of Orthopaedics, Medicover Hospitals, HITEC City, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The aims of this study were to (a) identify the dynamic patterns of varus deformity among osteoarthritic knees, (b) describe their surgical implications, and (c) compare post-operative lower limb alignment, clinical outcomes and satisfaction among patients with different deformity patterns managed intra-operatively based on deductions drawn from the same. Methods: Patients with primary osteoarthritis of the knee with an intra-articular varus deformity, undergoing computer-navigation assisted total knee arthroplasty using a sub-vastus approach and the "femur-first" measured resection technique between October 2019 and June 2020 were recruited. Following surgical exposure, the coronal knee deformity was assessed during full extension and 15°, 30°, 45°, 60°, 75°, and 90° of flexion. The levels of bony and/or soft-tissue pathology were identified based on the deformity pattern noted. Mechanical bone resection and indicated soft-tissue releases were performed. Post-operative alignment and outcomes were compared among knees with different deformity patterns. Results: In all, 127 patients (59.1 % women) with a mean age of 62.4 years were available for follow-up. The mean duration of follow-up was 24.7 months. Five patterns of varus deformity emerged, each indicating different levels of pathology: (i) pattern-1: the deformity increased on flexion, (ii) pattern-2: the deformity decreased on flexion, (iii) pattern-3: the deformity remained constant throughout flexion, (iv) pattern-4: the deformity increased initially, then decreased on flexion, and (v) pattern-5: the deformity decreased initially, then increased on flexion. Individualized soft-tissue release helped restore alignment within 3° of the mechanical axis in all knees. At the two years' follow-up, the clinical outcomes and patient satisfaction were comparable among patients with all deformity patterns. Conclusions: Knees with primary varus osteoarthritis demonstrate simple dynamic patterns of coronal deformity. An understanding of these patterns permits identification of the levels of pathology and helps in their optimal management, resulting in uniformly satisfactory outcomes.

Indexed as

Computer navigationDynamic patternsKinematic patternsTotal knee arthroplastyVarus deformity

Identifiers

PMID39896861
PMCPMC11779650

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