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Cardiovascular risk in rare diseases: a prognostic stratification model in a cohort of sarcoidosis patients

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1Institutions déclarées
1Pays d’affiliation déclarés

Résumé fourni par la source

Sarcoidosis is a rare granulomatous disease that can affect any organ; as other chronic diseases, it leads to increased risk of atherosclerosis and cardiovascular (CV) disease. The aim of our observational study was to define a prognostic stratification model of sarcoidosis patients based on the evaluation of CV risk through common carotid Doppler ultrasound and cardiovascular risk scores assessment; for this reason, a clinical phenotyping of sarcoidosis patients in four subgroups was done, based on the different organ involvement. A cohort of 53 sarcoidosis patients and a cohort of 48 healthy volunteers were enrolled. Results showed that CV risk was higher in sarcoidosis cohort than in the control group when evaluated through CV risk scores and Doppler parameters: peak-systolic velocity (PSV) and end-diastolic velocity (EDV) were significantly lower in sarcoidosis cohort (p = 0.045 and p = 0.017, respectively), whereas intima media thickness (IMT) showed higher values in sarcoidosis group than in controls (p = 0.016). The analysis of sarcoidosis phenotypes showed no significative differences of CV risk among them when CV risk scores were considered, while partial differences emerged by evaluating subclinical atherosclerosis. Results also highlighted a relationship between CV risk score and carotid Doppler ultrasound parameters: EDV showed an inverse correlation with Framingham score (R = - 0.275, p = 0.004), whereas IMT showed a direct one (R = 0.429; p = 0.001); furthermore, an inverse correlation between PSV and EDV and illness duration (R = - 0.298, p = 0.030 and R = - 0.406, p = 0.002, respectively) was found, so suggesting a higher CV risk in patients with a longer story of disease.

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DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Cardiovascular risk in rare diseases: a prognostic stratification model in a cohort of sarcoidosis patients
Date Crossref
23/05/2023
Éditeur
Springer Science and Business Media LLC
Type
journal-article

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Institutions déclarées

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