目的探讨下肢动脉硬化性疾病无症状高危人群的危险因素及踝肱指数(ankle-brachial index,ABI)的预测价值。方法选取2020年1月至2022年12月成武县人民医院110例无下肢动脉硬化性疾病症状的高危人群为研究对象,均接受ABI测量,根据ABI将其...目的探讨下肢动脉硬化性疾病无症状高危人群的危险因素及踝肱指数(ankle-brachial index,ABI)的预测价值。方法选取2020年1月至2022年12月成武县人民医院110例无下肢动脉硬化性疾病症状的高危人群为研究对象,均接受ABI测量,根据ABI将其分为异常组和正常组,对比两组基线资料,并分析影响下肢动脉硬化性疾病无症状高危人群的危险因素及ABI的预测价值。结果经ABI测量显示,ABI≤0.9共31例,占比28.18%。异常组年龄,有高血压史、糖尿病史、吸烟史占比,C反应蛋白及同型半胱高于正常组,总胆固醇及ABI低于正常组(P均<0.05)。年龄、高血压史、糖尿病史、吸烟史、同型半胱氨酸、ABI是下肢动脉硬化性疾病无症状高危人群的影响因素(P均<0.05)。年龄、同型半胱氨酸、ABI预测下肢动脉硬化性疾病无症状高危人群的曲线下面积(area under curve,AUC)分别为0.959、0.965、0.986,ABI预测的敏感度优于年龄和同型半胱氨酸预测(P均<0.05)。结论早期检测ABI对下肢动脉硬化性疾病无症状高危人群具有预测作用。展开更多
目的:踝肱指数(ABI)与骨关节炎(OA)之间的关系仍不清楚。本研究旨在探讨ABI与OA患病率之间的潜在关联。方法:本研究共纳入了5172名来自美国国家健康与营养调查(1999~2004年)的ABI参与者。通过测量双臂(肱动脉)和双踝(胫后动脉)的收缩压...目的:踝肱指数(ABI)与骨关节炎(OA)之间的关系仍不清楚。本研究旨在探讨ABI与OA患病率之间的潜在关联。方法:本研究共纳入了5172名来自美国国家健康与营养调查(1999~2004年)的ABI参与者。通过测量双臂(肱动脉)和双踝(胫后动脉)的收缩压来计算ABI。ABI分为三组:低(1.40)。OA状态为自我报告。研究人员进行了加权多变量逻辑回归和亚组分析,以评估ABI与OA之间的独立关联。采用限制性立方体样条(RCS)方法探讨了剂量–反应关系。结果:经全面调整后的多变量逻辑回归分析结果显示,ABI越高,OA患病风险越高,两者之间存在显著关联。具体来说,ABI每增加一个单位,OA的发生几率就会增加3.01 [OR = 3.40;95% CI: 1.38, 6.5;P = 0.01]。此外,剂量反应分析显示,ABI与OA患病率之间存在J型关联(非线性P为0.0769),ABI超过1.1时,OA患病风险显著增加[OR = 1.31;95% CI: 1.05, 1.63;P = 0.02]。结论:较高的ABI与OA风险增加有关。ABI可为OA的评估和治疗提供新的视角。Objective: The relationship between ankle-brachial index (ABI) and osteoarthritis (OA) remains unclear. The aim of this study was to investigate the potential association between ABI and OA prevalence. Methods: A total of 5172 participants with ABI from the National Health and Nutrition Examination Survey (1999~2004) were included in this study. ABI was calculated by measuring systolic blood pressure in both arms (brachial artery) and both ankles (posterior tibial artery). ABI was classified into three groups: low (1.40). OA status was self-reported. The researchers performed weighted multivariate logistic regression and subgroup analyses to assess the independent association between ABI and OA. Dose-response relationships were explored using a restricted cubic spline (RCS) approach. Results: Fully adjusted multivariate logistic regression analyses showed a significant association between higher ABI and higher risk of OA prevalence. Specifically, each one-unit increase in ABI increased the odds of OA by 3.01 [OR = 3.40;95% CI: 1.38, 6.5;P = 0.01]. In addition, dose-response analyses showed a J-shaped association between ABI and OA prevalence (non-linear P of 0.0769), with a significant increase in the risk of OA with an ABI above 1.1 [OR = 1.31;95% CI: 1.05, 1.63;P = 0.02]. Conclusion: Higher ABI is associated with an increased risk of OA, and ABI may provide new perspectives for the assessment and treatment of OA.展开更多
文摘目的探讨下肢动脉硬化性疾病无症状高危人群的危险因素及踝肱指数(ankle-brachial index,ABI)的预测价值。方法选取2020年1月至2022年12月成武县人民医院110例无下肢动脉硬化性疾病症状的高危人群为研究对象,均接受ABI测量,根据ABI将其分为异常组和正常组,对比两组基线资料,并分析影响下肢动脉硬化性疾病无症状高危人群的危险因素及ABI的预测价值。结果经ABI测量显示,ABI≤0.9共31例,占比28.18%。异常组年龄,有高血压史、糖尿病史、吸烟史占比,C反应蛋白及同型半胱高于正常组,总胆固醇及ABI低于正常组(P均<0.05)。年龄、高血压史、糖尿病史、吸烟史、同型半胱氨酸、ABI是下肢动脉硬化性疾病无症状高危人群的影响因素(P均<0.05)。年龄、同型半胱氨酸、ABI预测下肢动脉硬化性疾病无症状高危人群的曲线下面积(area under curve,AUC)分别为0.959、0.965、0.986,ABI预测的敏感度优于年龄和同型半胱氨酸预测(P均<0.05)。结论早期检测ABI对下肢动脉硬化性疾病无症状高危人群具有预测作用。
文摘目的:踝肱指数(ABI)与骨关节炎(OA)之间的关系仍不清楚。本研究旨在探讨ABI与OA患病率之间的潜在关联。方法:本研究共纳入了5172名来自美国国家健康与营养调查(1999~2004年)的ABI参与者。通过测量双臂(肱动脉)和双踝(胫后动脉)的收缩压来计算ABI。ABI分为三组:低(1.40)。OA状态为自我报告。研究人员进行了加权多变量逻辑回归和亚组分析,以评估ABI与OA之间的独立关联。采用限制性立方体样条(RCS)方法探讨了剂量–反应关系。结果:经全面调整后的多变量逻辑回归分析结果显示,ABI越高,OA患病风险越高,两者之间存在显著关联。具体来说,ABI每增加一个单位,OA的发生几率就会增加3.01 [OR = 3.40;95% CI: 1.38, 6.5;P = 0.01]。此外,剂量反应分析显示,ABI与OA患病率之间存在J型关联(非线性P为0.0769),ABI超过1.1时,OA患病风险显著增加[OR = 1.31;95% CI: 1.05, 1.63;P = 0.02]。结论:较高的ABI与OA风险增加有关。ABI可为OA的评估和治疗提供新的视角。Objective: The relationship between ankle-brachial index (ABI) and osteoarthritis (OA) remains unclear. The aim of this study was to investigate the potential association between ABI and OA prevalence. Methods: A total of 5172 participants with ABI from the National Health and Nutrition Examination Survey (1999~2004) were included in this study. ABI was calculated by measuring systolic blood pressure in both arms (brachial artery) and both ankles (posterior tibial artery). ABI was classified into three groups: low (1.40). OA status was self-reported. The researchers performed weighted multivariate logistic regression and subgroup analyses to assess the independent association between ABI and OA. Dose-response relationships were explored using a restricted cubic spline (RCS) approach. Results: Fully adjusted multivariate logistic regression analyses showed a significant association between higher ABI and higher risk of OA prevalence. Specifically, each one-unit increase in ABI increased the odds of OA by 3.01 [OR = 3.40;95% CI: 1.38, 6.5;P = 0.01]. In addition, dose-response analyses showed a J-shaped association between ABI and OA prevalence (non-linear P of 0.0769), with a significant increase in the risk of OA with an ABI above 1.1 [OR = 1.31;95% CI: 1.05, 1.63;P = 0.02]. Conclusion: Higher ABI is associated with an increased risk of OA, and ABI may provide new perspectives for the assessment and treatment of OA.
