Evaluation of a 'color coding' system for the assessment of patients undergoing primary percutaneous coronary intervention.

AIMS: The reduction of delay times as well as the rate of false alarms (FA) have become some of the main points of the different infarction networks. We propose a simple way of classifying patients derived for primary PCI (pPCI) into well-defined simple groups by colors, where we can assess real delays of each clinical presentation, define the FA and, furthermore, establish their immediate and short term prognosis. METHODS AND RESULTS: Prospective study of STEMI consecutive patients derived for pPCI during 2014. Patients were categorized into one of the 3 predesigned groups [(i) Green: diagnostic-ECG with compatible clinical presentation for pPCI; (ii) Yellow: LBBB, pacemaker rate or non-diagnostic ECG; and (iii) Red: very complex patients], always before performing the angiography in 518 patients. Delay times were highest in the Yellow group, with much longer first medical contact (FMC) to balloon time (median Green 118'; Yellow 163'; Red 130'; p<0.001) mainly due to higher times from the first medical contact to the diagnosis and team activation (median Green 30'; Yellow 70'; Red 39'; p<0.001). In the whole cohort, pPCI was performed in 80.2% of patients, with 11.9% of FA. The Green group had only a 2.5% FA rate, in contrast to the Yellow group where FA were 43.2%. CONCLUSIONS: This simple classification differentiates the 3 very clear groups in which delay times and prognosis are very different. This classification allows us to measure, evaluate and compare the performance of each of our pPCI networks with others and within different periods of times.

Long-Term Predictors of Thromboembolic Events in Nonvalvular Atrial Fibrillation Patients Undergoing Electrical Cardioversion.

BACKGROUND: Patients with nonvalvular atrial fibrillation (AF) who undergo electrical cardioversion (ECV) tend to be younger and have less comorbidity. Long-term anticoagulation after ECV should be based on thromboembolic risk. We sought to study the long-term incidence of thromboembolic events (TE), factors related to TE and compare the predictive value of the CHADS2and CHA2DS2-VASc scores in this particular population. METHODS AND RESULTS: From January 2008 to June 2012, 571 ECV were performed in 406 consecutive patients with nonvalvular AF. Risk factors for TE and factors related to anticoagulation therapy after ECV were registered. During a follow-up of approximately 2 years, the annual incidence of TE was 1.9%. Factors associated with TE were: poor quality anticoagulation control (hazard ratio [HR]: 2.91; 95% confidence interval [CI]: 1.10-7.80; P=0.03), cessation of anticoagulation after ECV (HR: 8.80; 95% CI: 3.11-25.10; P<0.001), age ≥65 years (HR: 13.65; 95% CI: 1.74-107.16; P=0.01), CHADS2score (HR: 1.59; 95% CI: 1.10-2.29; P=0.01) and CHA2DS2-VASc score (HR: 1.67; 95% CI: 1.30-2.22; P<0.001). Both risk scores predicted TE [c-statistic for CHADS2: 0.68 (95% CI: 0.62-0.74; P=0.005), for CHA2DS2-VASc: 0.75 (95% CI: 0.70-0.80; P<0.001)]. Based on c-statistics, the predictive accuracy of CHA2DS2-VASc was superior (difference between areas: 0.064±0.031; P=0.0403). CONCLUSIONS: Important determinants of long-term occurrence of TE after ECV were related to anticoagulant therapy (poor quality anticoagulation and cessation of this therapy over follow-up). The CHA2DS2-VASc score successfully predicts TE after ECV, having better predictive accuracy than the CHADS2score. (Circ J 2016; 80: 605-612).