Related Experiment Video

Updated: Jan 25, 2026

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
06:04

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

1.4K

Spondyloarthropathies: an independent cardiovascular risk factor?

Sylvain Mathieu1, Pascal Motreff, Martin Soubrier

  • 1Service de rhumatologie, CHU Gabriel-Montpied, 58, rue Montalembert, 63003 Clermont-Ferrand, France. smathieu11@yahoo.fr

Joint Bone Spine
|July 22, 2010
PubMed

Insights

Patients with spondyloarthropathies face higher cardiovascular disease risks due to chronic inflammation and common risk factors. Effective management involves controlling disease activity and addressing these conventional risks.

Area of Science:

  • Rheumatology
  • Cardiology
  • Immunology

Background:

  • Rheumatoid arthritis patients show increased cardiovascular mortality and morbidity.
  • Data on cardiovascular risk in spondyloarthropathies are limited.
  • Spondyloarthropathies encompass a group of inflammatory joint diseases.

Purpose of the Study:

  • To review and synthesize evidence on cardiovascular disease risk in spondyloarthropathies.
  • To identify contributing factors to elevated cardiovascular risk in this population.
  • To outline recommendations for cardiovascular risk management.

Main Methods:

  • Literature review of published studies.
  • Analysis of factors contributing to cardiovascular risk.
  • Synthesis of current understanding of disease mechanisms.

Main Results:

  • Patients with spondyloarthropathies exhibit an increased risk of cardiovascular disease.
  • This excess risk is multifactorial, driven by chronic systemic inflammation.
  • High prevalence of conventional cardiovascular risk factors further contributes to the risk.

Conclusions:

  • Optimal cardiovascular risk management in spondyloarthropathies requires integrated strategies.
  • Controlling disease activity is crucial for mitigating cardiovascular risk.
  • Targeting conventional cardiovascular risk factors is essential for comprehensive patient care.

More Related Videos

In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors08:50

In Vitro Rearing of Solitary Bees: A Tool for Assessing Larval Risk Factors

Published on: July 16, 2018

8.6K
Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies10:11

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Published on: October 22, 2014

19.6K

Related Concept Videos

Law of Independent Assortment02:03

Law of Independent Assortment

While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
62.4K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.3K
Introduction to Test of Independence01:21

Introduction to Test of Independence

In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
2.9K
Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
7.4K
Independent and Dependent Sources01:18

Independent and Dependent Sources

In electrical circuits, sources play a crucial role in providing power for the operation of the circuit. These sources can be broadly categorized into two types: independent and dependent.
Independent voltage or current sources supply a fixed amount of voltage or current, respectively, which is unaffected by other elements within the circuit. These are represented using specific symbols. Independent voltage sources are symbolized with polarities (+ and -), indicating the direction of the...
2.6K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K