目的:探讨跟腱断裂与高尿酸血症的相关性。同时验证ATR的已知危险因素。
方法:对488名受试者进行了回顾性审查(182名跟腱断裂,306控制脚踝扭伤)。列出并比较了人口统计学变量和破裂的危险因素。比较基线数据和相关指标,通过构建二元Logistic回归模型分析ATR的危险因素。
结果:单因素logistic分析显示,吸烟,和高尿酸血症是ATR发生的危险因素(OR=1.65,95CI1.13~2.42,P=0.01;OR=1.47,95CI1.00~2.24,P<0.05;OR=2.85,95CI1.84~4.42,P<0.01)。多因素分析表明,BMI≥25kg/m2,吸烟,高尿酸血症是ATR发生的独立危险因素(OR=1.66,95CI1.11~2.49,P=0.01;OR=2.15,95CI1.28~3.60,P<0.01;OR=3.06,95CI1.92~4.89,P<0.01)。在血液生化指标中,总胆固醇(TC)和尿酸(UA)是ATR发生的独立危险因素(OR=1.54,95%CI1.12~2.12,P=0.01;OR=1.01,95%CI1.01~1.01,P<0.01)。
结论:我们的研究证实,与以前的结果一样,BMI较高,吸烟,总胆固醇是ATR的危险因素,高尿酸血症可能有助于ATR的发展,血液生化中TC和UA的辅助检测可能有助于预测ATR的风险。
OBJECTIVE: To study the correlation between achilles tendon rupture (ATR) and hyperuricemia, also verify the known risk factors for ATR.
METHODS: A retrospective review of 488 subjects was performed (182 with Achilles tendon rupture, 306 controls with ankle sprains). Demographic variables and risk factors for rupture were tabulated and compared. The baseline data and related indicators were compared, and the risk factors of ATR were analyzed by constructing a binary logistic regression model.
RESULTS: Univariate logistic analysis showed that BMI, smoking, and hyperuricemia were risk factors for the development of ATR (OR = 1.65, 95%CI 1.13-2.42, P = 0.01; OR = 1.47, 95%CI 1.00-2.24, P < 0.05; OR = 2.85, 95%CI 1.84-4.42, P < 0.01). Multifactorial analysis showed that BMI ≥ 25 kg/m2, smoking, and hyperuricemia were independent risk factors for the development of ATR (OR = 1.66, 95%CI 1.11-2.49, P = 0.01; OR = 2.15, 95%CI 1.28-3.60, P < 0.01; OR = 3.06, 95%CI 1.92-4.89, P < 0.01). Among the blood biochemical indicators, total cholesterol (TC) and uric acid (UA) were independent risk factors for the occurrence of ATR (OR = 1.54, 95% CI 1.12-2.12, P = 0.01; OR = 1.01, 95% CI 1.01-1.01, P < 0.01).
CONCLUSIONS: Our study confirmed that, as in previous results, higher BMI, smoking, and total cholesterol are risk factors for ATR, Hyperuricemia may contribute to the development of ATR, and adjunctive tests for TC and UA in the blood biochemistry may be helpful in predicting the risk of ATR.