Posterior tibial slope is a modifiable predictor of relatively large extension gaps in total knee arthroplasty for degenerative osteoarthritis

Author:

Shin Kyun-Ho1ORCID,Kim Sang-Bum1,Jang Ki-Mo2,Lee Chul-Soo2,Han Seung-Beom2ORCID

Affiliation:

1. Joint Center, Inbone Hospital, Paju-si, Gyeonggi-do, South Korea

2. Department of Orthopaedic Surgery, Anam Hospital, Korea University College of Medicine, Seoul, South Korea

Abstract

Background: During total knee arthroplasty (TKA) for osteoarthritis, the sagittal gap imbalance (SGI) with a relatively large extension gap is an important surgical challenge. We determined the predictors of SGI with a relatively large extension gap and evaluated the surgical outcomes of knees with SGI. Methods: 551 consecutive cases of primary TKA for osteoarthritis were retrospectively reviewed. The cohort was divided into two groups according to the SGI and statistically matched according to baseline characteristics via the inverse probability of treatment weighting method. Multiple linear and logistic regression analyses were performed to determine the predictors of sagittal gap difference (SGD) and SGI. Intergroup differences in clinical and radiological outcomes were analyzed. Results: Of all the knees included, 8.5% (n = 45) presented with SGI with a relatively large extension gap and required femoral sagittal balancing to manage SGI. The hyperextension angle (HA), preoperative joint line convergence angle (JLCA), and the change in posterior tibial slope (PTS) significantly correlated to SGD and predicted SGI with a relatively large extension gap. SGI group showed significant changes in femoral posterior condylar offset and joint line height compared to those without SGI (1.48 vs −0.45, 1.37 vs −0.51, respectively). Postoperative ROM and knee society knee scores were lower in SGI group. Conclusion: Knees requiring sagittal balancing to manage SGI with a relatively large extension gap is not uncommon in TKA for osteoarthritic knees. The change in PTS is an independent and modifiable predictor of SGI.

Publisher

SAGE Publications

Subject

Surgery

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