ClinicalTrials.gov
public full text
Public Domain
Impact of Nurse-led Programme With Carotid Ultrasound on Addressing Cardiovascular Risk in Patients With Arthritis
Elevated CVD risk is a significant public health problem that contributes greatly to the increased morbidity and shortened lifespan of individuals with RA and PsA. Over the past decades, there has been great progress into the understanding of the severity of CVD risk in these patients but these risk factors are not well managed. The development of the high-risk strategy is therefore necessary, with more intensive therapy reserved for patients identified as high-risk, e.g. because they have high-risk FRS. However, these risk scores under-estimated CV risk in patients with RA and PsA. An intermediate approach is to use quantification of preclinical vascular disease to further identify high-risk patients. Results from this study will provide clinical implications in terms of detecting and managing cardiovascular morbidity in patients with RA and PsA.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Early Detection of Cardiovascular Disease#969762
- Less Invasive Detection and Treatment of Very Early Coronary Artery Disease in Patients With Diabetes Mellitus#1164970
- DETECTion of the Prevalence of Silent Atherosclerosis Across Adult Life - Phase I of REACT#832151
- Serum Biomarker of Plaque Vulnerability and Contrast Ultrasound of Carotid Artery#863207
- Carotid Plaque-Burden Scale and Outcomes. A Real Life Study#969411
Record · ID 1085357
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive