Metabolic Syndrome and Cardiovascular Disease Risk in Primary Care
Author Information
Author(s): Cabré Joan-Josep, Martín Francisco, Costa Bernardo, Piñol Josep L, Llor Josep L, Ortega Yolanda, Basora Josep, Baldrich Marta, Solà Rosa, Daniel Jordi, Hernández Josep Ma, Saumell Judit, Bladé Jordi, Sagarra Ramon, Basora Teresa, Montañés Dolors, Frigola Joan L, Donado-Mazarrón Angel, García-Vidal Maria Teresa, Sánchez-Oro Isabel, de Magriñà Josep M, Urbaneja Ana, Barrio Francisco, Vizcaíno Jesús, Sabaté Josep M, Pascual Irene, Revuelta Vanesa
Primary Institution: ABS Reus-1, Camí de Riudoms, 53–55, 43202 Reus, Spain
Hypothesis
What is the prevalence of metabolic syndrome in a primary care population and how does it influence cardiovascular disease risk?
Conclusion
Metabolic syndrome is highly prevalent in a seemingly healthy population attending primary care clinics, significantly increasing the risk of cardiovascular disease.
Supporting Evidence
- 166 subjects were diagnosed with metabolic syndrome using WHO criteria.
- 210 subjects were diagnosed with metabolic syndrome using NCEP criteria.
- 252 subjects were diagnosed with metabolic syndrome using IDF criteria.
- The relative risk of cardiovascular complications in metabolic syndrome subjects was 2.56.
- Cardiovascular disease complications appeared in 15.7% of subjects during the follow-up.
- Prevalence of diabetes and pre-diabetes was over 50% in the study sample.
- Logistic regression indicated that metabolic syndrome components significantly increased cardiovascular disease risk.
Takeaway
This study found that many people who seem healthy actually have a condition called metabolic syndrome, which can lead to heart problems.
Methodology
A prospective, multi-centered cohort study was conducted over two years, analyzing patients attending primary care centers for metabolic syndrome and cardiovascular disease risk.
Potential Biases
Potential bias in self-reported data and selection of participants from specific health centers.
Limitations
The study did not conduct an intervention and relied on existing clinical practices for diagnosis.
Participant Demographics
The mean age was 60.3 years, with 431 females and a mix of other demographics including hypertension, diabetes, and obesity.
Statistical Information
P-Value
p<0.001
Confidence Interval
95%CI: 20.0–26.3
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website