Difference in the Extension Gap Between Osteoarthritis and Osteonecrosis in Medial Fixed-Bearing Unicompartmental Knee Arthroplasty with the Spacer Block Technique.
Naoki Nakano MdToshihisa Maeda MdYuichi Kuroda MdKazunari Ishida MdShinya Hayashi MdYuichi Hoshino MdTakehiko Matsushita MdRyosuke Kuroda MdTomoyuki Matsumoto MdPublished in: The journal of knee surgery (2024)
The spacer block technique is widely used in medial fixed-bearing unicompartmental knee arthroplasty (UKA) for osteoarthritis (OA) and osteonecrosis (ON), while it is still unclear if there is any difference in the extension gap between UKAs for the two conditions. To clarify the question, the data from 87 consecutive patients (OA: 57 patients and ON: 30 patients) who underwent medial fixed-bearing UKA with the spacer block technique were retrospectively collected and analyzed. The component gap between the medial tibial osteotomy surface and the femoral trial prosthesis in extension was measured using a UKA tensor, and the preosteotomy gap was calculated in each condition. Also, pre- and postoperative coronal hip-knee-ankle (HKA) angles, the thickness of the insert, and the amount of distal femoral and proximal tibial osteotomy were measured and compared between the two groups. As a result, the mean preosteotomy gap in Group OA and Group ON was 5.4 and 3.7 mm, respectively ( p < 0.001). The amount of change in HKA angle following UKA in Group OA and Group ON was 4.4and 3.8 degrees, respectively ( p = 0.044), while no significant difference was found regarding pre- and postoperative HKA angle between them. Also, thinner inserts tended to be used in Group ON than in Group OA, while no significant difference in the amount of osteotomies was found between them. Since knees with OA and ON showed different biomechanical conditions at medial fixed-bearing UKA probably for the difference in the amount of remaining cartilage, the surgical technique should be carefully considered for each condition.
Keyphrases
- total knee arthroplasty
- end stage renal disease
- knee osteoarthritis
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- clinical trial
- peritoneal dialysis
- patients undergoing
- machine learning
- patient reported outcomes
- study protocol
- deep learning
- patient reported
- open label
- electronic health record