Including educational status may improve cardiovascular risk calculations such as SCORE2

• DOI: 10.3389/fcvm.2024.1345277
• Publication Date: 2024-10-11T04:42:47Z
• Authors: Christiane Dienhart; Isabella Gostner; Vanessa Frey; Elmar Aigner; Bernhard Iglseder; Patrick Langthaler; Bernhard Paulweber; Eugen Trinka; Bernhard Wernly
• Keywords: Subclinical infection; Proxy (statistics); Odds

Background The association between education and atherosclerotic cardiovascular disease (ASCVD) has been well described for decades. Nevertheless, most risk models, including SCORE2, still do not take educational status into account even if this factor is easily assessed costs nothing to acquire. Using carotid plaques as a proxy ASCVD, we analysed associated with plaque development, determine the relationship remains, how it relates traditional factors and, impacts European model, SCORE2. Our study also provides further data on development in well-characterised population nearly equally weighted by gender. Methods 9,083 subjects (51% female, 49% male) from Paracelsus 10,000 cohort, underwent doppler duplex part of thorough screening subclinical ASCVD. Well over 90% examinations were performed same experienced clinician. Subjects then classified using Generalized International Standard Classification Education. Plaque absence or presence was dichotomised variables regression modelling examine relative respect SCORE2 model. Results medium reference, our cohort low had higher odds, while high lower odds compared (aOR 1.76 95%CI 1.50–2.06; 0.0.63 0.57–0.70, respectively). Even after adjusting common metabolic syndrome maintained. Furthermore, when comparing potential predictive power alone plus Akaike information criterion, showed ‘better fit’ added. Conclusions Measuring cost-free easy clinicians obtain. We believe prediction models such may more accurately reflect individual taken account. Additionally, need understand appropriately address factor, better quantify appropriate measures reduce so that finally be broken.