Modified Mansoor's self-report tool for cardiovascular risk assessment predicts major adverse cardiovascular and cerebrovascular events and amputations in peripheral artery disease.

Background

Peripheral artery disease (PAD) constitutes a major global burden of disease. Regarding patient-cases of patients with PAD, it is of outstanding interest to identify patients with a high risk for adverse in-hospital events. Thus, risk stratification tools including scores are of key interest for prognosis prediction. Materials and methods: The German nationwide inpatient statistics 2005-2018 was used for this analysis. Patient-cases of PAD patients were stratified according to a modified Mansoor's Self-Report Tool for Cardiovascular Risk Assessment class and compared. The predictive performance of this score was evaluated to predict adverse in-hospital events with the help of unadjusted and adjusted logistic regressions.

Results

Overall, 2,462,085 patient-cases (36.8% females; 57.4% ≥ 70 years) of patients hospitalised due PAD were included in Germany 2005-2018. According to the Mansoor's self-report tool for cardiovascular risk assessment, 1,101,123 (44.7%) of the PAD patient-cases were classified as low-risk and 1,360,962 (55.3%) as high-risk. High-risk class was predictive for major adverse cardiovascular and cerebrovascular events (MACCE; odds ratio [OR] 1.09 [95% confidence interval [CI] 1.07-1.10], p < .001), acute kidney injury (OR 1.33 [95% CI 1.30-1.36], p < .001) and amputations (OR 1.46 [95% CI 1.44-1.47], p < .001). In contrast, high risk class was not associated with increased rate of arterial and venous embolism/thrombosis and in-hospital death (OR 0.97 [95% CI 0.96-0.99], p < .001). High risk class was associated with coronary revascularization treatments.

Conclusions

The modified Mansoor's Self-Report Tool for Cardiovascular Risk Assessment score is a new and effective risk stratification tool to predict individual risk regarding MACCE, acute kidney injury and amputations in PAD patients during their hospitalisation, but the score failed to predict for in-hospital mortality.