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Evolución de la prevalencia de arteriopatía periférica en la práctica clínica: Estudio descriptivo poblacional con bases de datos reales (SIDIAP-CMBD)
OBJECTIVE: To evaluate, with real world data (SIDIAP and CMBD), the evolution of the prevalence of peripheral arterial disease (PAD) in the Catalan population and the cardiovascular risk factors present in people with this pathology. DESIGN: Longitudinal descriptive population study. SITE: Primary h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399170/ https://www.ncbi.nlm.nih.gov/pubmed/35964545 http://dx.doi.org/10.1016/j.aprim.2022.102437 |
Sumario: | OBJECTIVE: To evaluate, with real world data (SIDIAP and CMBD), the evolution of the prevalence of peripheral arterial disease (PAD) in the Catalan population and the cardiovascular risk factors present in people with this pathology. DESIGN: Longitudinal descriptive population study. SITE: Primary health care. PARTICIPANTS: Patients listed in SIDIAP and CMBD with a diagnosis of peripheral artery disease between 2008 and 2018 ≥ 35 years, as well as those without a diagnosis, but with an ABI < 0.9 in SIDIAP. INTERVENTIONS AND MAIN MEASUREMENTS: Main variable AP (ICD-9, ICD-10). Sociodemographic data, risk factors and cardiovascular disease, drug use and prevalent cardiovascular events at the time of diagnosis. RESULTS: 141,520 patients were studied. 75% had hypertension, 58% were smokers or former smokers, and 23% had a myocardial infarction. The global prevalence increased from 1.15% in 2008 to 3.10% in 2018. The prevalence of PAD increased with age, with a moderate increase at younger ages, and more pronounced in > 55 years, exceeding 10% in > 85 years. CONCLUSION: This is a population study where it is observed that the evolution of the prevalence of peripheral artery disease has presented a constant increase during the years 2008–2018, being higher in men, especially from 55 years of age. Studies with large databases can facilitate the design and implementation of new policies in national health systems. |
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