Predictors of embolism and death in left-sided infective endocarditis: the European Society of Cardiology EURObservational Research Programme European Infective Endocarditis registry

BACKGROUND AND AIMS

Even though vegetation size in infective endocarditis (IE) has been associated with embolic events (EEs) and mortality risk, it is unclear whether vegetation size associated with these potential outcomes is different in left-sided IE (LSIE). This study aimed to seek assessing the vegetation cut-off size as predictor of EE or 30-day mortality for LSIE and to determine risk predictors of these outcomes.

METHODS

The European Society of Cardiology EURObservational Research Programme European Infective Endocarditis is a prospective, multicentre registry including patients with definite or possible IE throughout 2016-18. Cox multivariable logistic regression analysis was performed to assess variables associated with EE or 30-day mortality.

RESULTS

There were 2171 patients with LSIE (women 31.5%). Among these affected patients, 459 (21.1%) had a new EE or died in 30 days. The cut-off value of vegetation size for predicting EEs or 30-day mortality was >10 mm [hazard ratio (HR) 1.38, 95% confidence interval (CI) 1.13-1.69, P = .0015]. Other adjusted predictors of risk of EE or death were as follows: EE on admission (HR 1.89, 95% CI 1.54-2.33, P < .0001), history of heart failure (HR 1.53, 95% CI 1.21-1.93, P = .0004), creatinine >2 mg/dL (HR 1.59, 95% CI 1.25-2.03, P = .0002), Staphylococcus aureus (HR 1.36, 95% CI 1.08-1.70, P = .008), congestive heart failure (HR 1.40, 95% CI 1.12-1.75, P = .003), presence of haemorrhagic stroke (HR 4.57, 95% CI 3.08-6.79, P < .0001), alcohol abuse (HR 1.45, 95% CI 1.04-2.03, P = .03), presence of cardiogenic shock (HR 2.07, 95% CI 1.29-3.34, P = .003), and not performing left surgery (HR 1.30 95% CI 1.05-1.61, P = .016) (C-statistic = .68).

CONCLUSIONS

Prognosis after LSIE is determined by multiple factors, including vegetation size.

The predictive value of regional 2D longitudinal strain in determining the localization of coronary artery stenosis in NSTE-ACS patients

Background and purpose

Previous studies have shown that the role of global longitudinal 2DS in diagnosing and detecting coronary artery disease is modest. However, data on the sensitivity of the regional 2DS assessment is lacking (1–6). The aim of this study was to determine whether in echocardiographic evaluation of myocardial ischemia, regional 2D strain (2DS) assessment is more sensitive and specific in detecting ischemia due to critical stenosis of one or more coronary arteries in comparison with current standard of visual assessment of regional wall motion abnormalities (RWMA).

Material and methods

This retrospective study included 123 patients admitted through the Emergency Department across 36 months with the diagnosis of NSTE-ACS without previously known CAD or LBBB who underwent coronary angiography within the first 24 hours and had an echocardiogram with RWMA analysis done prior to procedure. 2DS analysis of regional longitudinal peak systolic strain (LPSS) according to the 18-segment model was performed by four clinicians, blinded to patient's clinical data.

Results

A significant correlation was found between individual parameters of LPSS and significant stenosis of all three major coronary vessels (&gt;70% narrowing on coronary angiography, Table 1). Lower regional LPSS correlated well anatomically with the supplying arteries; for example, patients with LAD stenosis had significantly lower regional LPSS in all apical segments, lateral, anteroseptal and anterior mid segments and anterior basal segment. Similar patterns were seen in the LCx and RCA regions. Three graphs show the sensitivity and specificity of the most sensitive segments for each artery. The diagnostic accuracy of endocardial and epicardial regional LPSS was similar to the average regional LPSS.

Conclusion

We have shown that regional 2DS could be a good predictor of the presence and localization of coronary stenosis for each of the three main coronary arteries but further studies are needed to confirm this assumption.

Funding Acknowledgement

Type of funding sources: None.