Risk of embolic events before and after antibiotic treatment initiation among patients with left-side infective endocarditis.

PURPOSE: Embolic events (EEs) are a common complication of left-side infective endocarditis (IE). The aim of the present study was to identify risk factors for the occurrence of EEs before or after antibiotic treatment instauration among patients with definite or possible IE. METHODS: This retro-prospective study was conducted at the Lausanne University Hospital, Lausanne, Switzerland, from January 2014 to June 2022. EEs and IE were defined according to modified Duke criteria. RESULTS: A total of 441 left-side IE episodes were included (334: 76% were definite and 107; 24% possible IE). EE were diagnosed in 260 (59%) episodes; in 190 (43%) before antibiotic treatment initiation and 148 (34%) after. Central nervous system (184; 42%) was the most common site of EE. Multivariable analysis identified S. aureus (P 0.022), immunological phenomena (P < 0.001), sepsis (P 0.027), vegetation size ≥ 10 mm (P 0.003) and intracardiac abscess (P 0.022) as predictors of EEs before antibiotic treatment initiation. For EEs after antibiotic treatment initiation, multivariable analysis revealed vegetation size ≥ 10 mm (P < 0.001), intracardiac abscess (P 0.035) and prior EE (P 0.042), as independent predictors of EEs, while valve surgery (P < 0.001) was associated with lower risk for EEs. CONCLUSIONS: We reported a high percentage of EEs among patients with left-side IE; vegetation size, intracardiac abscess, S. aureus and sepsis were independently associated with the occurrence of EEs. In addition to antibiotic treatment, early surgery led to further decrease in EEs incidence.

[Cardiac CT in 2024]. / CT cardiaque en 2024.

Coronary Computed Tomography Angiography (CCTA) has now become an established tool in the diagnostic process for patients suspected of coronary artery disease. In light of rapid technological development, CCTA has evolved into an imaging modality providing both anatomical and functional information to guide patient management. In this article, we describe the role of cardiac CT in assessing atherosclerotic plaque, chest pain evaluation, cardiovascular risk stratification, planning and guiding coronary intervention, as well as structural heart diseases.

Le scanner coronarien est actuellement un outil reconnu dans le processus diagnostique des patients chez qui on suspecte une maladie coronarienne. Bénéficiant d'un développement technologique rapide et procurant des informations tant morphologiques que fonctionnelles, le CT cardiaque devient une modalité d'imagerie incontournable pour orienter la prise en charge des patients. Dans cet article, nous décrivons le rôle du CT cardiaque dans l'évaluation de la plaque d'athérosclérose, des douleurs thoraciques, de la stratification du risque cardiovasculaire, de la planification et du guidage de l'intervention coronarienne, ainsi que des maladies cardiaques structurelles.

[Can smart devices and AI in cardiology improve clinical practice?] / Les dispositifs intelligents et l'IA en cardiologie peuvent-ils améliorer la pratique clinique ?

Remote monitoring is becoming increasingly popular among healthcare professionals and patients for diagnosing and treating heart disease. Several smart devices connected to smartphones have been developed and validated in recent years, but their clinical use is still limited. Significant advances in the field of artificial intelligence (AI) are also revolutionizing several fields, yet the impact that these innovations could have on routine clinical practice is still unknown. We review the evidence and uses of the main smart devices currently available as well as the latest applications of AI in the field of cardiology, with the aim to ultimately evaluate the potential of this technology to transform modern clinical practice.

Le monitorage à distance devient de plus en plus populaire parmi les praticiens de la santé pour le diagnostic et la surveillance des maladies cardiaques. Plusieurs dispositifs « intelligents ¼ et connectés aux smartphones ont été développés et validés durant ces dernières années, mais leur utilisation clinique est toujours limitée. Bien que les progrès de l'intelligence artificielle (IA) soient en train de révolutionner plusieurs domaines, l'impact que ces innovations pourront avoir dans le monde médical est toujours inconnu. Le but de cet article est de passer en revue les principaux dispositifs disponibles et de comprendre les applications actuelles de l'IA en cardiologie, afin de mieux saisir dans quelle mesure ils sont susceptibles de transformer notre pratique clinique quotidienne.

[Cardiology: what's new in 2022]. / Cardiologie : ce qui a changé en 2022.

The year of 2022 was marked by many novelties in the fields of interventional cardiology, heart failure, electrophysiology, cardiac imaging, and congenital heart disease. These advances will certainly change our daily practice, on top of improving the diagnosis and treatment of many heart conditions. In addition, the European Society of Cardiology has updated its guidelines on pulmonary hypertension, ventricular arrhythmias and sudden death, cardiovascular assessment of patients undergoing non-cardiac surgery. The members of the Cardiology division of Lausanne University Hospital (CHUV) here present the publications which they considered to be the most important of the past year.

L'année 2022 a été marquée par de nombreuses nouveautés dans les domaines de la cardiologie interventionnelle, de l'insuffisance cardiaque, de l'électrophysiologie, de l'imagerie cardiaque et des cardiopathies congénitales. Ces progrès vont certainement faire évoluer notre pratique quotidienne, en plus d'améliorer le diagnostic et le traitement de nombreuses cardiopathies. Par ailleurs, la Société européenne de cardiologie a mis à jour ses recommandations portant sur l'hypertension pulmonaire, les arythmies ventriculaires et la mort subite ainsi que le bilan cardiologique avant une chirurgie non cardiaque. Les membres du Service de cardiologie du CHUV vous présentent ici les travaux qui leur ont semblé être les plus importants de l'année écoulée.

A new Sherriff in town: Vascular calcium meets its match.

Severe vascular calcification in femoropopliteal disease is associated with worse short- and long-term outcomes. Intravascular lithotripsy therapy causes micro-fractures in intimal and medial calcium at low-pressure inflations. This results acute luminal gain, with minimal vessel injury in calcified lesions. Ongoing trials will determine the benefit of intravascular lithotripsy as an adjunct to drug coated balloons in peripheral vascular disease.

Good enough isn't.

Mild PVR has been shown to increase all-cause and cardiovascular mortality after TAVR, especially in high surgical risk patients. Mechanistic and associative causes, as well imprecise ascertainment have been suggested as underlying etiologies of this association. Ongoing trials with newer valve technologies, broader patient inclusion and more systematic assessment of PVR may provide further insight into the prevalence, causality, and outcome of PVR.

Energy Loss Index and Dimensionless Index Outperform Direct Valve Planimetry in Low-Gradient Aortic Stenosis.

Background/Objectives: Among patients with suspected severe aortic stenosis (AS), discordance between effective orifice area (EOA) and transvalvular gradients is frequent and requires a multiparametric workup including flow assessment and calcium-scoring to confirm true severe AS. The aim of this study was to assess direct planimetry, energy loss index (Eli) and dimensionless index (DI) as stand-alone parameters to identify non-severe AS in discordant cases. Methods: In this prospective cohort study, we included consecutive AS patients > 70 years with EOA < 1.0 cm2 referred for valve replacement between 2014 and 2017. AS severity was retrospectively reassessed using the multiparametric work-up recommended in the 2021 ESC/EACTS guidelines. DI and ELi were calculated, and valve area was measured by direct planimetry on transesophageal echocardiography. Results: A total of 101 patients (mean age 82 y; 57% male) were included. Discordance between EOA and gradients was observed in 46% and non-severe AS found in 24% despite an EOA < 1 cm2. Valve planimetry performed poorly, with an area under the ROC curve (AUC) of 0.64. At a cut-off value of >0.82 cm2, sensitivity and specificity to identify non-severe AS were 67 and 66%, respectively. DI and ELi showed a higher diagnostic accuracy, with an AUC of 0.77 and 0.76, respectively. Cut-off values of >0.24 and >0.6 cm2/m2 identified non-severe AS, with a high specificity of 79% and 91%, respectively. Conclusions: Almost one in four patients with EOA < 1 cm2 had non-severe AS according to guideline-recommended multiparametric assessment. Direct valve planimetry revealed poor diagnostic accuracy and should be interpreted with caution. Usual prognostic cut-off values for DI > 0.24 and ELI > 0.6 cm2/m2 identified non-severe AS with high specificity and should therefore be included in the assessment of low-gradient AS.

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study.

BACKGROUND: Angiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI). AIMS: We compared the ability of humans, angiographic parameters and deep learning (DL) to predict the lesion that would be responsible for a future MI in a population of patients with non-significant CAD at baseline. METHODS: We retrospectively included patients who underwent invasive coronary angiography (ICA) for MI, in whom a previous angiogram had been performed within 5 years. The ability of human visual assessment, diameter stenosis, area stenosis, quantitative flow ratio (QFR) and DL to predict the future culprit lesion (FCL) was compared. RESULTS: In total, 746 cropped ICA images of FCL and non-culprit lesions (NCL) were analysed. Predictive models for each modality were developed in a training set before validation in a test set. DL exhibited the best predictive performance with an area under the curve of 0.81, compared with diameter stenosis (0.62, p=0.04), area stenosis (0.58, p=0.05) and QFR (0.67, p=0.13). DL exhibited a significant net reclassification improvement (NRI) compared with area stenosis (0.75, p=0.03) and QFR (0.95, p=0.01), and a positive nonsignificant NRI when compared with diameter stenosis. Among all models, DL demonstrated the highest accuracy (0.78) followed by QFR (0.70) and area stenosis (0.68). Predictions based on human visual assessment and diameter stenosis had the lowest accuracy (0.58). CONCLUSION: In this feasibility study, DL outperformed human visual assessment and established angiographic parameters in the prediction of FCLs. Larger studies are now required to confirm this finding.

Simple equations to predict the effects of veno-venous ECMO in decompensated Eisenmenger syndrome.

Adult patients with uncorrected congenital heart diseases and chronic intracardiac shunt may develop Eisenmenger syndrome (ES) due to progressive increase of pulmonary vascular resistance, with significant morbidity and mortality. Acute decompensation of ES in conditions promoting a further increase of pulmonary vascular resistance, such as pulmonary embolism or pneumonia, can precipitate major arterial hypoxia and death. In such conditions, increasing systemic oxygenation with veno-venous extracorporeal membrane oxygenation (VV-ECMO) could be life-saving, serving as a bridge to treat a potential reversible cause for the decompensation, or to urgent lung transplantation. Anticipating the effects of VV-ECMO in this setting could ease the clinical decision to initiate such therapeutic strategy. Here, we present a series of equations to accurately predict the effects of VV-ECMO on arterial oxygenation in ES and illustrate this point by a case of ES decompensation with refractory hypoxaemia consecutive to an acute respiratory failure due to viral pneumonia.

Premature Ventricular Complexes in Apparently Normal Hearts.

Premature ventricular complexes (PVCs) are consistently associated with worse prognosis and higher morbidity and mortality. This article reviews PVCs and their presentation in patients with an apparently normal heart. Patients with PVCs may be completely asymptomatic, whereas others may note severely disabling symptoms. Cardiomyopathy may occur with frequent PVCs. Diagnostic work-up is directed at obtaining 12-lead ECG to characterize QRS morphology, Holter monitor to assess frequency, and echo and advanced imaging to assess for early cardiomyopathy and exclude structural heart disease. Options for management include watchful waiting, medical therapy, or catheter ablation. Malignant variants of PVCs may induce ventricular fibrillation even in a normal heart.