心血管疾病与膝骨关节炎的关系

Abdulfattah S. Alqahtani, V. Vennu, S. Bindawas
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摘要

背景:心血管疾病(cvd),如缺血性心脏病、心力衰竭和中风是全世界发病率和死亡率的主要原因(几乎占死亡人数的30%)。社会人口和临床因素,如肥胖、糖尿病、抑郁症状和缺乏身体活动,是心血管疾病风险背后的因素。目的:本研究旨在确定膝骨关节炎(OA)患者或高危人群心血管疾病风险背后的因素。背景与设计:基线数据(2004-2006)来自骨关节炎倡议组织(OAI)的4674名年龄在45-79岁之间的膝关节OA患者或高危人群。方法与材料:本研究采用横断面研究。对来自骨关节炎倡议的基线数据(2004-2006年)进行分析,以确定4674人心血管疾病背后的社会人口学和临床因素。统计分析:采用Kolmogorov-Smirnov检验对连续参数的数据进行正态性评价。结果:结果显示178名(62%)年龄≥65岁的参与者也患有心血管疾病(p < 0.0001)。男性心脏病发作OR = 2.97,心力衰竭OR = 2.53,隐含概率分别为33.7%和39.5% (p < 0.05)。糖尿病和肥胖导致心力衰竭的OR和隐含概率分别为1.81(55.2%)和2.20 (45.5%)(p<0.05)。结论:这些发现为在该人群中进行横断面研究,进一步调查心血管疾病风险背后的因素提供了依据。
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Association between Cardiovascular Diseases and Knee Osteoarthritis
CONTEXT: Cardiovascular diseases (CVDs) such as ischemic heart diseases, heart failure, and stroke are the leading causes of morbidity and mortality (almost 30% of deaths) worldwide. Sociodemographic and clinical factors, such as obesity, diabetes, depressive symptoms, and physical inactivity, as factors behind the risk of CVDs. AIMS: This study aims to identify the factors behind the risk of CVDs in people with or at high risk for Knee Osteoarthritis (OA). SETTINGS & DESIGN: The baseline data (2004–2006) of a total of 4674 persons with or at high risk for knee OA aged 45–79 years from the Osteoarthritis Initiative (OAI). METHODS & MATERIAL: This study adopted a cross-sectional study. Baseline data (2004–2006) from the Osteoarthritis Initiative were analyzed to determine the sociodemographic and clinical factors behind CVDs in 4674 persons. STATISTICAL ANALYSIS USED: The Kolmogorov-Smirnov test was used to assess the data normality for continuous parameters. RESULTS: The results indicate 178 (62%) participants with age ≥65 years also had CVDs (p <.0001). Male gender had OR = 2.97 for heart attack and OR = 2.53 for heart failure making the implied probability of 33.7% and 39.5% respectively (p < 0.05). The OR and implied probability of diabetes and obesity for heart failure were 1.81 (55.2%) and 2.20 (45.5%) respectively (p<0.05). CONCLUSIONS: These findings provide a rationale for further investigation of those factors behind the risk of CVDs in cross-sectional studies among this population.
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