Background: The present study was conducted to examine the association between various coronary risk factors and clinical parameters, with special emphasis on ankle-brachial index, in predicting the severity and compl...Background: The present study was conducted to examine the association between various coronary risk factors and clinical parameters, with special emphasis on ankle-brachial index, in predicting the severity and complexity of coronary artery disease. Methods: Patients diagnosed with coronary artery disease at our hospital between September-2012 and December-2014 were examined in this study. Selected patients were screened for cardiovascular risk factors including diabetes, hypertension, smoking, and alcohol habits as well as for clinical parameters including body-mass index, waist-hip ratio, ankle-brachial index, and ejection fraction. All patients underwent coronary angiography and were evaluated for severity of coronary artery disease (based on number of vessels involved) and complexity of coronary angiographic lesions (measured by computer-assisted Syntax score calculator). The collected data were analyzed to determine the role of cardiovascular risk factors and clinical parameters as predictors of complexity and severity of coronary artery disease. Results: A total of 211 patients (mean age: 54.64 ± 9.9 years;81% males) with coronary artery disease were analyzed. Findings revealed that diabetes mellitus (p < 0.001), hypertension (p < 0.001), smoking habits (p = 0.036), and low ankle-brachial index (p < 0.001) were independent predictors of complex coronary artery disease as measured by Syntax score. Significant associations were also evident between severity of coronary artery disease and diabetes mellitus (p < 0.001), hypertension (p < 0.001), and ankle-brachial index (p < 0.001). Conversely, other cardiovascular risk factors including body-mass index, alcohol habits, wait-hip ratio, and ejection fraction did not exhibit significant associations with severity and complexity of coronary artery. Conclusions: The early diagnosis of coronary artery can be predicated by evaluating diabetes, hypertension, and smoking habits in patients presenting with acute coronary syndrome. In addition, ankle-brachial index can be used as an effective non-invasive bed-side tool, as an alternative to Syntax score, in predicting the severity and complexity of coronary artery disease.展开更多
目的:探讨髋关节内侧间隙比值(the medial space ratio,MSR)和臀中肌状态对股骨头坏死(osteonecrosis of the femoral head,ONFH)塌陷的影响。方法:基于3名健康志愿者的髋部CT数据,建立7种不同MSR(14.35、16.35、18.35、20.35、22.35、2...目的:探讨髋关节内侧间隙比值(the medial space ratio,MSR)和臀中肌状态对股骨头坏死(osteonecrosis of the femoral head,ONFH)塌陷的影响。方法:基于3名健康志愿者的髋部CT数据,建立7种不同MSR(14.35、16.35、18.35、20.35、22.35、24.35、26.35)的左侧ONFH有限元模型。基于其中1名健康志愿者的正常MSR的ONFH有限元模型,构建7种不同臀中肌状态的ONFH有限元模型(75%、80%、85%、90%、95%、100%、105%),其中100%臀中肌状态对应臀中肌肌力为700 N。所有模型均基于日本骨坏死调查委员会分型C1型建模,并将股骨头前侧保留角和外侧保留角均设置为70°,同时将坏死区体积定义为股骨头体积的30%。模拟双下肢静立状态下模型的受力情况,测定不同MSR的ONFH有限元模型的股骨头最大应力、坏死区最大应力及坏死区最大位移,测定不同臀中肌状态的ONFH有限元模型的股骨头最大应力、坏死区最大应力及股骨头向外侧位移。结果:①模型验证结果。本研究建立的ONFH有限元模型的主要负重区为股骨头前、外侧区域,应力集中现象出现在坏死区上方与受力区重叠部位,股骨头最大应力为(5.050±0.377)MPa,与既往研究报道的坏死股骨头应力传导特征基本一致。②不同MSR的ONFH有限元模型应力和位移测定结果。当MSR≤20.35时(即MSR为14.35、16.35、18.35、20.35),模型的股骨头最大应力、坏死区最大应力、坏死区最大位移的组间差异均无统计学意义。当MSR>20.35时(即MSR为22.35、24.35、26.35),模型的股骨头最大应力、坏死区最大应力、坏死区最大位移均高于MSR≤20.35的模型。③不同臀中肌状态的ONFH有限元模型应力和股骨头向外侧位移测定结果。在正常MSR的ONFH有限元模型中,随着臀中肌状态好转,股骨头最大应力、坏死区最大应力、股骨头向外侧位移随之不断减小。结论:MSR>20.35时,股骨头和坏死区应力明显增大,塌陷风险增高;良好的臀中肌状态不仅能降低股骨头和坏死区应力,而且能对抗股骨头外移,降低股骨头塌陷风险。展开更多
文摘Background: The present study was conducted to examine the association between various coronary risk factors and clinical parameters, with special emphasis on ankle-brachial index, in predicting the severity and complexity of coronary artery disease. Methods: Patients diagnosed with coronary artery disease at our hospital between September-2012 and December-2014 were examined in this study. Selected patients were screened for cardiovascular risk factors including diabetes, hypertension, smoking, and alcohol habits as well as for clinical parameters including body-mass index, waist-hip ratio, ankle-brachial index, and ejection fraction. All patients underwent coronary angiography and were evaluated for severity of coronary artery disease (based on number of vessels involved) and complexity of coronary angiographic lesions (measured by computer-assisted Syntax score calculator). The collected data were analyzed to determine the role of cardiovascular risk factors and clinical parameters as predictors of complexity and severity of coronary artery disease. Results: A total of 211 patients (mean age: 54.64 ± 9.9 years;81% males) with coronary artery disease were analyzed. Findings revealed that diabetes mellitus (p < 0.001), hypertension (p < 0.001), smoking habits (p = 0.036), and low ankle-brachial index (p < 0.001) were independent predictors of complex coronary artery disease as measured by Syntax score. Significant associations were also evident between severity of coronary artery disease and diabetes mellitus (p < 0.001), hypertension (p < 0.001), and ankle-brachial index (p < 0.001). Conversely, other cardiovascular risk factors including body-mass index, alcohol habits, wait-hip ratio, and ejection fraction did not exhibit significant associations with severity and complexity of coronary artery. Conclusions: The early diagnosis of coronary artery can be predicated by evaluating diabetes, hypertension, and smoking habits in patients presenting with acute coronary syndrome. In addition, ankle-brachial index can be used as an effective non-invasive bed-side tool, as an alternative to Syntax score, in predicting the severity and complexity of coronary artery disease.
文摘目的:探讨髋关节内侧间隙比值(the medial space ratio,MSR)和臀中肌状态对股骨头坏死(osteonecrosis of the femoral head,ONFH)塌陷的影响。方法:基于3名健康志愿者的髋部CT数据,建立7种不同MSR(14.35、16.35、18.35、20.35、22.35、24.35、26.35)的左侧ONFH有限元模型。基于其中1名健康志愿者的正常MSR的ONFH有限元模型,构建7种不同臀中肌状态的ONFH有限元模型(75%、80%、85%、90%、95%、100%、105%),其中100%臀中肌状态对应臀中肌肌力为700 N。所有模型均基于日本骨坏死调查委员会分型C1型建模,并将股骨头前侧保留角和外侧保留角均设置为70°,同时将坏死区体积定义为股骨头体积的30%。模拟双下肢静立状态下模型的受力情况,测定不同MSR的ONFH有限元模型的股骨头最大应力、坏死区最大应力及坏死区最大位移,测定不同臀中肌状态的ONFH有限元模型的股骨头最大应力、坏死区最大应力及股骨头向外侧位移。结果:①模型验证结果。本研究建立的ONFH有限元模型的主要负重区为股骨头前、外侧区域,应力集中现象出现在坏死区上方与受力区重叠部位,股骨头最大应力为(5.050±0.377)MPa,与既往研究报道的坏死股骨头应力传导特征基本一致。②不同MSR的ONFH有限元模型应力和位移测定结果。当MSR≤20.35时(即MSR为14.35、16.35、18.35、20.35),模型的股骨头最大应力、坏死区最大应力、坏死区最大位移的组间差异均无统计学意义。当MSR>20.35时(即MSR为22.35、24.35、26.35),模型的股骨头最大应力、坏死区最大应力、坏死区最大位移均高于MSR≤20.35的模型。③不同臀中肌状态的ONFH有限元模型应力和股骨头向外侧位移测定结果。在正常MSR的ONFH有限元模型中,随着臀中肌状态好转,股骨头最大应力、坏死区最大应力、股骨头向外侧位移随之不断减小。结论:MSR>20.35时,股骨头和坏死区应力明显增大,塌陷风险增高;良好的臀中肌状态不仅能降低股骨头和坏死区应力,而且能对抗股骨头外移,降低股骨头塌陷风险。