Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 5:03 AM
Ignite Modification Date:
2025-12-25 @ 5:03 AM
NCT ID:
NCT03616418
Brief Summary:
Peripheral arterial disease (PAD) is a common clinical manifestation of the systemic atherosclerotic process, and the ankle brachial index (ABI) is an ideal tool to diagnose PAD. The association between high serum uric acid levels (SUA) and arterial stiffness as well as endothelial dysfunction has been demonstrated in humans and uric acid has been suggested to be an important modulator of the inflammatory process. It has also been confirmed by clinical studies. Currently, there have been few long term follow up studies focused on the whether serum uric acid levels combined with ankle brachial index can improve prediction all cause mortality and cardiovascular mortality,especially in China population.Therefore, the aim of this study was to elucidate whether ABIcombined with SUA can improve prediction all cause mortality and cardiovascular mortality in the elderly China population independently of the traditional Framingham Risk Score.
Detailed Description:
This study is a prospective community-based cohort study, which is aimed to investigate the prognostic factors, including conventional cardiovascular risk factors and measure ABI,SUA,asymptomatic target organ damage, for mortality and cardiovascular diseases. All population were separated into ABI ≤0.50，0.51 \<ABI ≤0.9，and 0.91 \<ABI≤1.40 three groups according to the ABI. ABI ≤0.9 was selected as cut point for the definition of PAD. Factors related to CVD and all-cause mortality, major adverse cardiac events (MACE) during follow-up was observed by multivariate Cox regression analysis and log rank test. Potential confounding variables with P \<0.10 were adjusted for multivariate analysis.
Study:
NCT03616418
Study Brief:
Protocol Section:
NCT03616418