Abstract
Osteotomies are performed in patients with lower limb malalignment, usually associated with osteoarthritis of the knee or instability. The surgery realigns the mechanical axis of the leg by either an opening or closing wedge procedure with the goal of decreasing symptoms, improving function, and delaying the progression of osteoarthritis.
The 103 patients that had undergone osteotomy surgery were studied prospectively, and data was analysed one year post surgery. We examined subjective outcomes, patient history and surgical variables using backwards stepwise multiple regression models to determine whether there were any associations between these.
Subjective outcomes from a total of 103 osteotomy patients at one year post surgery were compared to patient history and surgical variables. All categories of KOOS and WOMAC scores were improved after surgery.
The multivariate models showed that variables significantly influencing the outcomes were pre-operative flexion, pre-operative weight, the size of the HTO plate used and tourniquet time.
Greater pre-operative flexion; lower weight; larger plate used, indicating larger corrections; and lower tourniquet times were shown to result in improved scores. Not all variables influenced all categories of the scores. While flexion and pre-operative weight influenced across the categories of both scores, plate size influenced KOOS pain and symptoms and tourniquet time influenced KOOS sport and quality of life.
Knee flexion and body weight were the most influential variables when considering KOOS and WOMAC outcome scores as a measure of success. The size of the correction may have influenced the pain and symptom scores because patients with greater malalignment may have initially had worse symptoms and their perception of their current function and pain is affected by their previous levels of pain and function. Osteotomy results in improved function and pain scores and our results indicate that there are several variables which significantly influence patient outcomes and may be of greater importance than other variables.
