Abstract
BACKGROUND: Metabolic syndrome (MetS) is a combination of interconnected conditions, including insulin resistance, abdominal obesity, high blood pressure, and abnormal blood lipid levels. The objective of this research was to investigate the impact of MetS on the quality of life and clinical outcomes following total knee arthroplasty (TKA) in patients with osteoarthritis (OA). METHODS: A retrospective descriptive study was conducted to enroll OA patients who underwent primary TKA at Zhongda Hospital, Southeast University from January 2015 to August 2019. A total of 83 OA patients who did and 144 (MetS group) who did not have MetS (non-MetS group) were included. An analysis was conducted on the patient's clinical data. RESULTS: The two groups had similar results in terms of lengths of stay (P=0.93), hospital costs (P=0.24), and overall complication rates (P=0.99). There was no significant difference in the average erythrocyte sedimentation rate and C-reactive protein levels between the groups. However, the MetS group exhibited notably lower Hospital for Special Surgery knee scores and Short Form [36] health survey (SF-36) scores compared to the non-MetS group (both P>0.05) during the one-year follow-up period. CONCLUSIONS: OA patients who have MetS had significantly worse knee joint function and quality of life after TKA. There are certain constraints in the current research. First, it belongs to a single-center retrospective study. Further study will be necessary to determine the generality of this conclusion. Second, this study is retrospective, and the number of patients included is not large. Third, due to the diverse clinical groups in our hospital, it is challenging to comprehensively document all the clinical data of the patients involved in this study. Forth, this study did not compare the preoperative differences between the two groups, as well as analyze the postoperative improvement changes in depth. We will compare the preoperative and postoperative differences between the two groups in more depth in future large sample studies.