A high CHA2DS2-VASc score is associated with a high risk for critical limb ischemia in peripheral arterial occlusive disease patients

BackgroundThe CHA2DS2-VASc (congestive heart failure, hypertension, age ≥ 75 years (doubled), type 2 diabetes, previous stroke, transient ischemic attack, or thromboembolism (doubled), vascular disease, age 65-75 years, and sex category) score was published as a predictive scoring model for stroke in atrial fibrillation patients. As multiple vascular risk factors are included in this score we evaluated the occurrence of critical limb ischemia (CLI) in peripheral arterial occlusive disease (PAOD) patients according to their CHA2DS2-VASc score independent of a coexisting atrial fibrillation.MethodsWe evaluated 2237 PAOD patients treated at our institution from 2005 to 2010. CHA2DS2-VASc score was calculated and the occurrence of CLI was investigated. Furthermore all constituents of the score were investigated concerning association with CLI.ResultsFrequency of CLI was higher in patients with a high CHA2DS2-VASc score. Age ≥ 75 years was associated with an increased risk for CLI (OR 3.0), as was age 65-75 years (OR 1.8), type 2 diabetes (OR 2.8), and the factor previous stroke, transient ischemic attack, or thromboembolism (OR 1.4). The occurrence of arterial hypertension was protective for CLI (OR 0.6). Sex and congestive heart failure were not associated with an increased CLI risk.ConclusionHigh CHA2DS2-VASc score is associated with a high CLI risk. As not all constituents are equally associated with CLI and some are even protective, a new score including only some of the factors should be evaluated for the prediction of CLI.

► The CHA2DS2-VASc score is a predictive scoring model for stroke in atrial fibrillation patients. ► We evaluated 2237 PAOD patients treated in one institution for their PAOD. ► Frequency of CLI was higher in patients with a high CHA2DS2-VASc score. ► Not all constituents of the score are equally associated with CLI and some are even protective. ► A new score including only some of the factors should be evaluated for the prediction of CLI.