2012
DOI: 10.1016/j.jaad.2012.05.016
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The impact of psoriasis on 10-year Framingham risk

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Cited by 51 publications
(52 citation statements)
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“…However, since clinical risk prediction algorithms, such as the Framingham risk score, do not factor in the effect of systemic inflammation secondary to psoriatic disease in the risk assessment, they may underestimate the actual risk 31 32. Similar findings were reported in RA 33.…”
Section: Discussionsupporting
confidence: 55%
“…However, since clinical risk prediction algorithms, such as the Framingham risk score, do not factor in the effect of systemic inflammation secondary to psoriatic disease in the risk assessment, they may underestimate the actual risk 31 32. Similar findings were reported in RA 33.…”
Section: Discussionsupporting
confidence: 55%
“…Importantly, in a study to determine the impact of psoriasis on the Framingham Risk Score (FRS), adding psoriasis to the FRS resulted in reclassification of a majority of patients to a higher CV risk category whereby 73% of patients at low risk were reclassified as intermediate risk and 53% of patients at intermediate risk as high risk. 31 Putting the psoriasis-associated CV risk into context with other chronic inflammatory diseases, Ahlehoff, et al 30 found the increased risk of MACE associated with severe psoriasis to be nearly identical to that conferred by diabetes alone. Similarly, a single observational study of patients with rheumatoid arthritis (RA) and psoriasis suggests that patients treated with similar systemic treatments (e.g., methotrexate) each have similarly elevated risks of MACE, independent of traditional risk factors.…”
Section: Cardiometabolic Diseasementioning
confidence: 99%
“…Traditional risk assessment does not accurately capture the increased CV risk among psoriasis patients 26 , and many patients with CVD and related events in psoriasis are young 23, 25 with low Framingham risk scores 26 . As such, psoriasis provides a reliable human model to study the utility of novel inflammatory biomarkers for predicting subclinical CVD in chronic inflammatory states.…”
Section: Introductionmentioning
confidence: 99%