TAPSE/sPAP prognostic value for In-Hospital Adverse Events in Patients Hospitalized for Acute Coronary Syndrome

AIMS

Although several studies have shown that the right ventricular to pulmonary artery (RV-PA) coupling, assessed by the ratio between tricuspid annular plane systolic excursion and systolic pulmonary artery pressure (TAPSE/sPAP) using echocardiography, is strongly associated with cardiovascular events, its prognostic value is not established in acute coronary syndrome (ACS). We aimed to assess the in-hospital prognostic value of TAPSE/sPAP among patients hospitalized for ACS in a retrospective analysis from the prospective ADDICT-ICCU study.

METHODS AND RESULTS

481 consecutive patients hospitalized in intensive cardiac care unit (mean age 65±13 years, 73% of male, 46% STEMI) for ACS (either ST-elevation [STEMI] or non-ST-elevation [NSTEMI] myocardial infarction) with TAPSE/sPAP available were included in this prospective French multicentric study (39 centers). The primary outcome was in-hospital major adverse cardiovascular events (MACEs) defined as all-cause death, resuscitated cardiac arrest or cardiogenic shock and occurred in 33 (7%) patients. ROC-curve analysis identified 0.55 mm/mmHg as the best TAPSE/sPAP cut-off to predict in-hospital MACEs. TAPSE/sPAP <0.55 was associated with in-hospital MACEs, even after adjustment with comorbidities (OR:19.1, 95%CI[7.78-54.8]), clinical severity including left ventricular ejection fraction (OR:14.4, 95%CI[5.70-41.7]) and propensity-matched population analysis (OR:22.8, 95%CI[7.83-97.2], all p<0.001). After adjustment, TAPSE/sPAP <0.55 showed the best improvement in model discrimination and reclassification above traditional prognosticators (C-statistic improvement: 0.16; global chi-square improvement: 52.8; LR-test p<0.001) with similar results for both STEMI and NSTEMI subgroups.

CONCLUSION

A low RV-PA coupling defined as TAPSE/sPAP ratio <0.55 was independently associated with in-hospital MACEs and provided incremental prognostic value over traditional prognosticators in patients hospitalized for ACS.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05063097.

European Association of Cardiovascular Imaging (EACVI) survey on Cardiovascular Multimodality Imaging in Acute Myocarditis

AIMS

To assess the current role of cardiac imaging in the diagnosis, management, and follow-up of patients with acute myocarditis (AM) through an European Association of Cardiovascular Imaging survey.

METHODS AND RESULTS

A total of 412 volunteers from 74 countries responded to the survey. Most participants worked in tertiary centres(56%). All participants had access to echocardiography, while 79% and 75% had access to cardiac computed tomography (CCTA) and cardiac magnetic resonance (CMR), respectively. Less than half(47%) had access to myocardial biopsy and only 5% used this test routinely. CMR was performed within 7 days of presentation in 73% of cases. Non-ischemic late gadolinium enhancement (LGE,88%) and high-signal intensity in T2-weighted images(74%) were the most used diagnostic criteria for AM. CCTA was preferred to coronary angiography by 47% of participants to exclude coronary artery disease. Systematic prescription of beta-blockers and ACEi was reported by 38% and 32% of participants. Around a quarter of participants declared considering LGE burden as a reason to treat. Most participants (90%) reported performing a follow-up echocardiogram, while 63% scheduled a follow-up CMR. The main reason for treatment discontinuation was improvement of left ventricular ejection fraction(89%), followed by LGE regression(60%). In two-thirds of participants the decision to resume high-intensity sport was influenced by residual LGE.

CONCLUSION

This survey confirms the high utilization of cardiac imaging in AM, but reveals major differences in how cardiac imaging is used and how the condition is managed between centres, underlining the need for recommendation statements in this topic.

Feasibility, safety and diagnostic yield of interventional cardiac magnetic resonance for routine right heart catheterization in adults

BACKGROUND

Real-time cardiac magnetic resonance generates spatially and temporally resolved images of cardiac anatomy and function, without the need for contrast agent or X-ray exposure. Cardiac magnetic resonance-guided right heart catheterization (CMR-RHC) combines the benefits of cardiac magnetic resonance and invasive cardiac catheterization. The clinical adoption of CMR-RHC represents the first step towards the development of cardiac magnetic resonance-guided therapeutic procedures.

AIM

To describe the feasibility, safety and diagnostic yield of CMR-RHC in consecutive all-comer patients with clinical indications for right heart catheterization.

METHODS

From December 2018 to May 2021, 35 consecutive patients with prespecified indications for right heart catheterization were scheduled for CMR-RHC via the femoral route under local anaesthesia in a 1.5T cardiac magnetic resonance suite equipped for interventional cardiac magnetic resonance. The duration of various procedural components and safety data were recorded. Success rate (defined by the ability to record all prespecified haemodynamic measurements and imaging metrics), adverse events and patient/physician perprocedural comfort were assessed.

RESULTS

One patient withdrew his consent before the study, and scanner troubleshooting occurred in one case. Among the 33 remaining patients, prespecified cardiac magnetic resonance imaging metrics were obtained in all patients, whereas full CMR-RHC measurements were obtained in 30 patients (91%). A dedicated cardiac magnetic resonance-compatible wire was used in 25/33 procedures. CMR-RHC was completed in 29±16minutes, and the total duration of the procedure, including conventional cardiac magnetic resonance imaging, was 62±20minutes. There were no adverse events and no femoral haematomas. Procedural comfort was deemed good by the patients and operators for all procedures. CMR-RHC significantly impacted diagnosis or patient management in 28/33 patients (85%).

CONCLUSIONS

CMR-RHC seems to be a feasible and safe procedure that can be used in routine daily practice in consecutive adults with an impactful clinical yield.

In-hospital Prognostic Value of TAPSE/sPAP in Patients Hospitalized for Acute Heart Failure

AIMS

TAPSE/sPAP (tricuspid annular plane systolic excursion over systolic pulmonary artery pressure) assessed by echocardiography appears to be a good noninvasive approach for right ventricular to pulmonary artery coupling assessment. We aimed to assess the in-hospital prognostic value of TAPSE/sPAP among patients hospitalized for acute heart failure (AHF).

METHODS AND RESULTS

333 consecutive patients (mean age 68 ± 14 years, 70% of male, mean LVEF 44 ± 16%) hospitalized for AHF across 39 French cardiology department, with TAPSE/sPAP measured by echocardiography within the 24 first hours of hospitalization were included in this prospective study. The primary outcome was in-hospital major adverse cardiovascular events (MACEs) defined as all-cause death, resuscitated cardiac arrest or cardiogenic shock and occurred in 50 (15%) patients. Using receiver operating characteristics curves analysis, the best TAPSE/sPAP threshold for in-hospital MACEs was 0.40 mm/mmHg. TAPSE/sPAP <0.40 mm/mmHg was independently associated with in-hospital MACEs, even after adjustment with comorbidities (OR:3.75, 95%CI[1.87-7.93], p < 0.001), clinical severity (OR:2.80, 95%CI[1.36-5.95], p = 0.006). Using a 1:1 propensity-matched population, TAPSE/sPAP ratio <0.40 was associated with a higher rate of in-hospital MACEs (OR:2.98, 95%CI[1.53-6.12], p = 0.002). After adjustment, TAPSE/sPAP <0.40 showed the best improvement in model discrimination and reclassification above traditional prognostic factors (C-statistic improvement: 0.05; Chi-2 improvement: 14.4; LR-test p < 0.001). These results were consistent in an external validation cohort of 133 patients.

CONCLUSION

TAPSE/sPAP < 0.40 mm/mmHg assessed by an early echocardiography during an AHF episode is independently associated with in-hospital MACEs suggesting enhanced close monitoring and strengthened HF-specific care in these patients.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05063097.

Profile of patients hospitalized in intensive cardiac care units in France: ADDICT-ICCU registry

BACKGROUND

Intensive cardiac care units (ICCU) were initially developed to monitor ventricular arrhythmias after myocardial infarction. In recent decades, ICCU have diversified their activities.

AIM

To determine the type of patients hospitalized in ICCU in France.

METHODS

We analysed the characteristics of patients enrolled in the ADDICT-ICCU registry (NCT05063097), a prospective study of consecutive patients admitted to ICCU in 39 centres throughout France from 7th-22nd April 2021. In-hospital major adverse events (MAE) (death, resuscitated cardiac arrest and cardiogenic shock) were recorded.

RESULTS

Among 1499 patients (median age 65 [interquartile range 54-74] years, 69.6% male, 21.7% diabetes mellitus, 64.7% current or previous smokers), 34.9% had a history of coronary artery disease, 11.7% atrial fibrillation and 5.2% cardiomyopathy. The most frequent reason for admission to ICCU was acute coronary syndromes (ACS; 51.5%), acute heart failure (AHF; 14.1%) and unexplained chest pain (6.8%). An invasive procedure was performed in 36.2%. "Advanced" ICCU therapies were required for 19.9% of patients (intravenous diuretics 18.4%, non-invasive ventilation 6.1%, inotropic drugs 2.3%). No invasive procedures or advanced therapies were required in 44.1%. Cardiac computed tomography or magnetic resonance imaging was carried out in 12.3% of patients. The median length of ICCU hospitalization was 2.0 (interquartile range 1.0-4.0) days. The mean rate of MAE was 4.5%, and was highest in patients with AHF (10.4%).

CONCLUSIONS

ACS remains the main cause of admissions to ICCU, with most having a low rate of in-hospital MAE. Most patients experience a brief stay in ICCU before being discharged home. AHF is associated with highest death rate and with higher resource consumption.

Carbon monoxide and prognosis in smokers hospitalised with acute cardiac events: a multicentre, prospective cohort study

Background

Smoking cigarettes produces carbon monoxide (CO), which can reduce the oxygen-carrying capacity of the blood. We aimed to determine whether elevated expiratory CO levels would be associated with a worse prognosis in smokers presenting with acute cardiac events.

Methods

From 7 to 22 April 2021, expiratory CO levels were measured in a prospective registry including all consecutive patients admitted for acute cardiac event in 39 centres throughout France. The primary outcome was 1-year all-cause death. Initial in-hospital major adverse cardiac events (MAE; death, resuscitated cardiac arrest and cardiogenic shock) were also analysed. The study was registered at ClinicalTrials.gov (NCT05063097).

Findings

Among 1379 patients (63 ± 15 years, 70% men), 368 (27%) were active smokers. Expiratory CO levels were significantly raised in active smokers compared to non-smokers. A CO level >11 parts per million (ppm) found in 94 (25.5%) smokers was associated with a significant increase in death (14.9% for CO > 11 ppm vs. 2.9% for CO ≤ 11 ppm; p < 0.001). Similar results were found after adjustment for comorbidities (hazard ratio [HR] [95% confidence interval (CI)]): 5.92 [2.43-14.38]) or parameters of in-hospital severity (HR 6.09, 95% CI [2.51-14.80]) and propensity score matching (HR 7.46, 95% CI [1.70-32.8]). CO > 11 ppm was associated with a significant increase in MAE in smokers during initial hospitalisation after adjustment for comorbidities (odds ratio [OR] 15.75, 95% CI [5.56-44.60]) or parameters of in-hospital severity (OR 10.67, 95% CI [4.06-28.04]). In the overall population, CO > 11 ppm but not smoking was associated with an increased rate of all-cause death (HR 4.03, 95% CI [2.33-6.98] and 1.66 [0.96-2.85] respectively).

Interpretation

Elevated CO level is independently associated with a 6-fold increase in 1-year death and 10-fold in-hospital MAE in smokers hospitalized for acute cardiac events.

Funding

Grant from Fondation Coeur & Recherche.

The Role of Multimodality Imaging in Patients with Congenital Heart Disease and Infective Endocarditis

Infective endocarditis (IE) represents an important medical challenge, particularly in patients with congenital heart diseases (CHD). Its early and accurate diagnosis is crucial for effective management to improve patient outcomes. Multimodality imaging is emerging as a powerful tool in the diagnosis and management of IE in CHD patients, offering a comprehensive and integrated approach that enhances diagnostic accuracy and guides therapeutic strategies. This review illustrates the utilities of each single multimodality imaging, including transthoracic and transoesophageal echocardiography, cardiac computed tomography (CCT), cardiovascular magnetic resonance imaging (CMR), and nuclear imaging modalities, in the diagnosis of IE in CHD patients. These imaging techniques provide crucial information about valvular and intracardiac structures, vegetation size and location, abscess formation, and associated complications, helping clinicians make timely and informed decisions. However, each one does have limitations that influence its applicability.

Left atrioventricular coupling index assessed using cardiac CT as a prognostic marker of cardiovascular death

PURPOSE

The purpose of this study was to investigate the prognostic value of left atrioventricular coupling index (LACI) assessed by cardiac computed tomography (CT), to predict cardiovascular death in consecutive patients referred for cardiac CT with coronary analysis.

MATERIALS AND METHODS

Between 2010 and 2020, we conducted a single-centre study with all consecutive patients without known cardiovascular disease referred for cardiac CT. LACI was defined as the ratio of left atrial to left ventricle end-diastolic volumes. The primary outcome was cardiovascular death. Cox regressions were used to evaluate the association between LACI and primary outcome after adjustment for traditional risk factors and cardiac CT angiography findings.

RESULTS

In 1,444 patients (mean age, 70 ± 12 [standard deviation] years; 43% men), 67 (4.3%) patients experienced cardiovascular death after a median follow-up of 6.8 (Q1, Q3: 5.9, 9.1) years. After adjustment, LACI was positively associated with the occurrence of cardiovascular death (adjusted hazard ratio [HR], 1.07 [95% CI: 1.05-1.09] per 1% increment; P < 0.001), and all-cause death (adjusted HR, 1.05 [95% CI: 1.03-1.07] per 1% increment; P <0.001). After adjustment, a LACI ≥ 25% showed the best improvement in model discrimination and reclassification for predicting cardiovascular death above traditional risk factors and cardiac CT findings (C-statistic improvement: 0.27; Nnet reclassification improvement = 0.826; Integrative discrimination index =0.209, all P < 0.001; likelihood-ratio-test, P < 0.001).

CONCLUSION

LACI measured by cardiac CT is independently associated with cardiovascular death and all-cause death in patients without known cardiovascular disease referred for cardiac CT, with an incremental prognostic value over traditional risk factors and cardiac CT findings.

Prevalence and impact of recreational drug use in patients with acute cardiovascular events

OBJECTIVE

While recreational drug use is a risk factor for cardiovascular events, its exact prevalence and prognostic impact in patients admitted for these events are not established. We aimed to assess the prevalence of recreational drug use and its association with in-hospital major adverse events (MAEs) in patients admitted to intensive cardiac care units (ICCU).

METHODS

In the Addiction in Intensive Cardiac Care Units (ADDICT-ICCU) study, systematic screening for recreational drugs was performed by prospective urinary testing all patients admitted to ICCU in 39 French centres from 7 to 22 April 2021. The primary outcome was prevalence of recreational drug detection. In-hospital MAEs were defined by death, resuscitated cardiac arrest, or haemodynamic shock.

RESULTS

Of 1499 consecutive patients (63±15 years, 70% male), 161 (11%) had a positive test for recreational drugs (cannabis 9.1%, opioids 2.1%, cocaine 1.7%, amphetamines 0.7%, 3,4-methylenedioxymethamphetamine (MDMA) 0.6%). Only 57% of these patients declared recreational drug use. Patients who used recreational drugs exhibited a higher MAE rate than others (13% vs 3%, respectively, p<0.001). Recreational drugs were associated with a higher rate of in-hospital MAEs after adjustment for comorbidities (OR 8.84, 95% CI 4.68 to 16.7, p<0.001). After adjustment, cannabis, cocaine, and MDMA, assessed separately, were independently associated with in-hospital MAEs. Multiple drug detection was frequent (28% of positive patients) and associated with an even higher incidence of MAEs (OR 12.7, 95% CI 4.80 to 35.6, p<0.001).

CONCLUSION

The prevalence of recreational drug use in patients hospitalised in ICCU was 11%. Recreational drug detection was independently associated with worse in-hospital outcomes.

CLINICAL TRIAL REGISTRATION

NCT05063097.

AI-Based Fully Automated Left Atrioventricular Coupling Index as a Prognostic Marker in Patients Undergoing Stress CMR

BACKGROUND

The left atrioventricular coupling index (LACI) is a strong and independent predictor of heart failure (HF) in individuals without clinical cardiovascular disease. Its prognostic value is not established in patients with cardiovascular disease.

OBJECTIVES

This study sought to determine in patients undergoing stress cardiac magnetic resonance (CMR) whether fully automated artificial intelligence-based LACI can provide incremental prognostic value to predict HF.

METHODS

Between 2016 and 2018, the authors conducted a longitudinal study including all consecutive patients with abnormal (inducible ischemia or late gadolinium enhancement) vasodilator stress CMR. Control subjects with normal stress CMR were selected using propensity score matching. LACI was defined as the ratio of left atrial to left ventricular end-diastolic volumes. The primary outcome included hospitalization for acute HF or cardiovascular death. Cox regression was used to evaluate the association of LACI with the primary outcome after adjustment for traditional risk factors.

RESULTS

In 2,134 patients (65 ± 12 years, 77% men, 1:1 matched patients [1,067 with normal and 1,067 with abnormal CMR]), LACI was positively associated with the primary outcome (median follow-up: 5.2 years [IQR: 4.8-5.5 years]) before and after adjustment for risk factors in the overall propensity-matched population (adjusted HR: 1.18 [95% CI: 1.13-1.24]), in patients with abnormal CMR (adjusted HR per 0.1% increment: 1.22 [95% CI: 1.14-1.30]), and in patients with normal CMR (adjusted HR per 0.1% increment: 1.12 [95% CI: 1.05-1.20]) (all P < 0.001). After adjustment, a higher LACI of ≥25% showed the greatest improvement in model discrimination and reclassification over and above traditional risk factors and stress CMR findings (C-index improvement: 0.16; net reclassification improvement = 0.388; integrative discrimination index = 0.153, all P < 0.001; likelihood ratio test P < 0.001).

CONCLUSIONS

LACI is independently associated with hospitalization for HF and cardiovascular death in patients undergoing stress CMR, with an incremental prognostic value over traditional risk factors including inducible ischemia and late gadolinium enhancement.

Functional imaging after the "ISCHEMIA" trial

Previous randomized trials have shown a lack of benefits from the addition of revascularization to optimal medical therapy versus optimal medical therapy alone in patients with stable ischaemic heart disease at relatively low risk (Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation [COURAGE]), and in diabetic patients with stable ischaemic heart disease (Bypass Angioplasty Revascularization Investigation in Type 2 Diabetics [BARI 2D]). More recently, the International Study of Comparative Health Effectiveness with Medical and Invasive Approaches (ISCHEMIA) randomized clinical trial showed similar results in patients with moderate-severe ischaemia on functional testing (imaging or stress electrocardiogram) and at least one significant (> 50%) coronary stenosis in a major epicardial coronary artery on coronarography computed coronary angiography. Although the ISCHEMIA trial adds pivotal knowledge regarding the management of and decision-making in stable patients, this study has prompted a great debate about the role of functional imaging for diagnosis, risk stratification and therapeutic decision-making. The objectives of this review are to summarize the results of the ISCHEMIA trial, to underline its limitations and to warn care providers about potential misinterpretation of this trial.

Fully automated AI-based cardiac motion parameter extraction - application to mitral and tricuspid valves on long-axis cine MR images

PURPOSE

In cardiac MRI, valve motion parameters can be useful for the diagnosis of cardiac dysfunction. In this study, a fully automated AI-based valve tracking system was developed and evaluated on 2- or 4-chamber view cine series on a large cardiac MR dataset. Automatically derived motion parameters include atrioventricular plane displacement (AVPD), velocities (AVPV), mitral or tricuspid annular plane systolic excursion (MAPSE, TAPSE), or longitudinal shortening (LS).

METHOD

Two sequential neural networks with an intermediate processing step are applied to localize the target and track the landmarks throughout the cardiac cycle. Initially, a localisation network is used to perform heatmap regression of the target landmarks, such as mitral, tricuspid valve annulus as well as apex points. Then, a registration network is applied to track these landmarks using deformation fields. Based on these outputs, motion parameters were derived.

RESULTS

The accuracy of the system resulted in deviations of 1.44 ± 1.32 mm, 1.51 ± 1.46 cm/s, 2.21 ± 1.81 mm, 2.40 ± 1.97 mm, 2.50 ± 2.06 mm for AVPD, AVPV, MAPSE, TAPSE and LS, respectively. Application on a large patient database (N = 5289) revealed a mean MAPSE and LS of 9.5 ± 3.0 mm and 15.9 ± 3.9 % on 2-chamber and 4-chamber views, respectively. A mean TAPSE and LS of 13.4 ± 4.7 mm and 21.4 ± 6.9 % was measured.

CONCLUSION

The results demonstrate the versatility of the proposed system for automatic extraction of various valve-related motion parameters.

Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR

AIMS

To determine whether fully automated artificial intelligence-based global circumferential strain (GCS) assessed during vasodilator stress cardiovascular (CV) magnetic resonance (CMR) can provide incremental prognostic value.

METHODS AND RESULTS

Between 2016 and 2018, a longitudinal study included all consecutive patients with abnormal stress CMR defined by the presence of inducible ischaemia and/or late gadolinium enhancement. Control subjects with normal stress CMR were selected using a propensity score-matching. Stress-GCS was assessed using a fully automatic machine-learning algorithm based on featured-tracking imaging from short-axis cine images. The primary outcome was the occurrence of major adverse clinical events (MACE) defined as CV mortality or nonfatal myocardial infarction. Cox regressions evaluated the association between stress-GCS and the primary outcome after adjustment for traditional prognosticators. In 2152 patients [66 ± 12 years, 77% men, 1:1 matched patients (1076 with normal and 1076 with abnormal CMR)], stress-GCS was associated with MACE [median follow-up 5.2 (4.8-5.5) years] after adjustment for risk factors in the propensity-matched population [adjusted hazard ratio (HR), 1.12 (95% CI, 1.06-1.18)], and patients with normal CMR [adjusted HR, 1.35 (95% CI, 1.19-1.53), both P < 0.001], but not in patients with abnormal CMR (P = 0.058). In patients with normal CMR, an increased stress-GCS showed the best improvement in model discrimination and reclassification above traditional and stress CMR findings (C-statistic improvement: 0.14; NRI = 0.430; IDI = 0.089, all P < 0.001; LR-test P < 0.001).

CONCLUSION

Stress-GCS is not a predictor of MACE in patients with ischaemia, but has an incremental prognostic value in those with a normal CMR although the absolute event rate remains low.

The Role and Advantages of Cardiac Magnetic Resonance in the Diagnosis of Myocardial Ischemia

Ischemic heart disease continues to be the leading cause of death and disability worldwide. For the diagnosis of ischemic heart disease, some form of cardiac stress test involving exercise or pharmacological stimulation continues to play an important role, despite advances within modalities like computer tomography for the noninvasive detection and characterization of epicardial coronary lesions. Among noninvasive stress imaging tests, cardiac magnetic resonance (CMR) combines several capabilities that are highly relevant for the diagnosis of ischemic heart disease: assessment of wall motion abnormalities, myocardial perfusion imaging, and depiction of replacement and interstitial fibrosis markers by late gadolinium enhancement techniques and T1 mapping. On top of these qualities, CMR is also well tolerated and safe in most clinical scenarios, including in the presence of cardiovascular implantable devices, while in the presence of renal disease, gadolinium-based contrast should only be used according to guidelines. CMR also offers outstanding viability assessment and prognostication of cardiovascular events. The last 2019 European Society of Cardiology guidelines for chronic coronary syndromes has positioned stress CMR as a class I noninvasive imaging technique for the diagnosis of coronary artery disease in symptomatic patients. In the present review, we present the current state-of-the-art assessment of myocardial ischemia by stress perfusion CMR, highlighting its advantages and current shortcomings. We discuss the safety, clinical, and cost-effectiveness aspects of gadolinium-based CMR-perfusion imaging for ischemic heart disease assessment.

Safety and incremental prognostic value of stress cardiovascular magnetic resonance in patients with known chronic kidney disease

BACKGROUND

Cardiovascular disease (CVD) is the main cause of mortality in patients with chronic kidney disease (CKD). Although several studies have demonstrated the consistently high prognostic value of stress cardiovascular magnetic resonance (CMR), its prognostic value in patients with CKD is not well established. We aimed to assess the safety and the incremental prognostic value of vasodilator stress perfusion CMR in consecutive symptomatic patients with known CKD.

METHODS

Between 2008 and 2021, we conducted a retrospective dual center study with all consecutive symptomatic patients with known stage 3 CKD, defined by estimated glomerular filtration rate (eGFR) between 30 and 60 ml/min/1.73 m2, referred for vasodilator stress CMR. All patients with eGFR < 30 ml/min/1.73 m2 (n = 62) were excluded due the risk of nephrogenic systemic fibrosis. All patients were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death or recurrent nonfatal myocardial infarction (MI). Cox regression analysis was used to determine the prognostic value of stress CMR parameters.

RESULTS

Of 825 patients with known CKD (71.4 ± 8.8 years, 70% men), 769 (93%) completed the CMR protocol. Follow-up was available in 702 (91%) (median follow-up 6.4 (4.0-8.2) years). Stress CMR was well tolerated without occurrence of death or severe adverse event related to the injection of gadolinium or cases of nephrogenic systemic fibrosis. The presence of inducible ischemia was associated with the occurrence of MACE (hazard ratio [HR] 12.50; 95% confidence interval [CI] 7.50-20.8; p < 0.001). In multivariable analysis, ischemia and late gadolinium enhancement were independent predictors of MACE (HR 15.5; 95% CI 7.72 to 30.9; and HR 4.67 [95% CI 2.83-7.68]; respectively, both p < 0.001). After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors (C-statistic improvement: 0.13; NRI = 0.477; IDI = 0.049).

CONCLUSIONS

In patients with known stage 3 CKD, stress CMR is safe and its findings have an incremental prognostic value to predict MACE over traditional risk factors.

Syndrome cardio-rénal : quoi de neuf en 2023 ?

Cardiac and renal pathologies lead to a high morbidity and mortality rate. The cardio-renal syndrome is characterized by the coexistence of renal and cardiac dysfunction and represents a polymorphic situation that is often complex to understand. This is a common occurrence that constitutes a real public health problem. In this review article, we propose to review the current state of knowledge on this syndrome by focusing on the main physiopathological, epidemiological, clinical and therapeutic aspects.

EACVI SIMULATOR-online study: evaluation of transoesophageal echocardiography knowledge and skills of young cardiologists

AIMS

To assess the level of transesophageal echocardiography (TOE) knowledge and skills of young cardiologists.

METHODS AND RESULTS

A European Association of Cardiovascular Imaging (EACVI) online study using the first fully virtual simulation-based software was conducted in two periods (9-12 December 2021 and 10-13 April 2022). All young cardiologists eligible to participate (<40 years) across the world were invited to participate. After a short survey, each participant completed two tests: a theoretical test to assess TOE knowledge and a practical test using an online TOE simulator to investigate TOE skills. Among 716 young cardiologists from 81 countries, the mean theoretical test score was 56.8 ± 20.9 points, and the mean practical test score was 47.4 ± 7.2 points (/100 points max each), including 18.4 ± 8.7 points for the acquisition test score and 29.0 ± 6.7 points for the anatomy test score (/50 points max each). Acquisition test scores were higher for four-chamber (2.3 ± 1.5 points), two-chamber (2.2 ± 1.4 points) and three-chamber views (2.3 ± 1.4 points) than for other views (all P < 0.001). Prior participation to a TOE simulation-based training session, a higher number of TOE exams performed per week, and EACVI certification for TOE were independently associated with a higher global score (all P < 0.001).

CONCLUSION

Online evaluation of young cardiologists around the world showed a relatively low level of TOE skills and knowledge. Prior participation to a TOE simulation-based training session, a higher number of TOE exams performed per week, and the EACVI certification for TOE were independently associated with a higher global score.

Sequencing and titrating approach of therapy in heart failure with reduced ejection fraction following the 2021 European Society of Cardiology guidelines: an international cardiology survey

AIMS

In symptomatic patients with heart failure and reduced ejection fraction (HFrEF), recent international guidelines recommend initiating four major therapeutic classes rather than sequential initiation. It remains unclear how this change in guidelines is perceived by practicing cardiologists versus heart failure (HF) specialists.

METHODS AND RESULTS

An independent academic web-based survey was designed by a group of HF specialists and posted by email and through various social networks to a broad community of cardiologists worldwide 1 year after the publication of the latest European HF guidelines. Overall, 615 cardiologists (38 [32-47] years old, 63% male) completed the survey, of which 58% were working in a university hospital and 26% were HF specialists. The threshold to define HFrEF was ≤40% for 61% of the physicians. Preferred drug prescription for the sequential approach was angiotensin-converting enzyme inhibitors or angiotensin receptor-neprilysin inhibitors first (74%), beta-blockers second (55%), mineralocorticoid receptor antagonists third (52%), and sodium-glucose cotransporter 2 inhibitors (53%) fourth. Eighty-four percent of participants felt that starting all four classes was feasible within the initial hospitalization, and 58% felt that titration is less important than introducing a new class. Age, status in training, and specialization in HF field were the principal characteristics that significantly impacted the answers.

CONCLUSION

In a broad international cardiology community, the 'historical approach' to HFrEF therapies remains the preferred sequencing approach. However, accelerated introduction and uptitration are also major treatment goals. Strategy trials in treatment guidance are needed to further change practices.

Change in minimum indexed left atrial volume predicts incident heart failure: the multi-ethnic study of atherosclerosis

Funding Acknowledgements

Type of funding sources: None.

Background and Purpose

Longitudinal change in the left atrium prior to the onset of heart failure has not been as well studied as left atrial (LA) dysfunction in pre-existing heart failure. This study used cardiac magnetic resonance (CMR) imaging to investigate the relationship between longitudinal change in LA volume and function and incident heart failure (HF), in a multi-ethnic population free of known cardiovascular disease at baseline.

Methods and Results

In the Multi-Ethnic Study of Atherosclerosis (MESA), 2470 participants (60±9 years, 47% males), free at baseline of clinically recognized cardiovascular disease, had LA volume, emptying fractions and peak longitudinal strain assessed with Multimodality Tissue Tracking (MTT; version 6.0 Toshiba, Japan) on CMR imaging at baseline (2000-02) and at follow-up 9.4±0.6 years later. Seventy three (3%) participants subsequently developed incident HF 7.1±2.1 years after the follow-up CMR exam. In cox regression models, an annualized change in all LA parameters were significantly associated with an increased risk of incident HF. An annual increase of 1ml/m2 in minimum indexed LA volumes (∆LAVimin) was most strongly associated with the risk of incident HF (Hazard Ratio(HR)=1.85, 95% confidence interval(CI) [1.49-2.29], P&lt;0.001) and improved model reclassification and discrimination in predicting incident HF (c-statistic=0.80, 95%CI [0.75-0.86]; NRI=0.13, P=0.04; IDI=0.04, P=0.01; x2=6.52, P=0.69) adjusting for known risk factors (age, gender, systolic blood pressure, anti-hypertensive medication use, smoking status, diabetes mellitus, total cholesterol, previous atrial fibrillation) and baseline LA parameters.

Conclusion

In this multi-ethnic population free of clinical cardiovascular disease at baseline, ∆LAVimin was most strongly associated with, and incrementally predictive of incident HF, after adjusting for known risk factors and baseline LA measures.

Safety, feasibility, and prognostic value of stress perfusion CMR in patients with MR-conditional pacemaker

AIMS

To assess the safety, feasibility, and prognostic value of stress cardiovascular magnetic resonance (CMR) in patients with pacemaker (PM).

METHODS AND RESULTS

Between 2008 and 2021, we conducted a bi-centre longitudinal study with all consecutive patients with MR-conditional PM referred for vasodilator stress CMR at 1.5 T in the Institut Cardiovasculaire Paris Sud and Lariboisiere University Hospital. They were followed for the occurrence of major adverse cardiovascular events (MACE) defined as cardiac death or non-fatal myocardial infarction. Cox regression analyses were performed to determine the prognostic value of CMR parameters. The quality of CMR was rated by two observers blinded to clinical details. Of 304 patients who completed the CMR protocol, 273 patients (70% male, mean age 71 ± 9 years) completed the follow-up (median [interquartile range], 7.1 [5.4-7.5] years). Among those, 32 experienced a MACE (11.7%). Stress CMR was well tolerated with no significant change in lead thresholds or pacing parameters. Overall, the image quality was rated good or excellent in 84.9% of segments. Ischaemia and late gadolinium enhancement (LGE) were significantly associated with the occurrence of MACE (hazard ratio, HR: 11.71 [95% CI: 4.60-28.2]; and HR: 5.62 [95% CI: 2.02-16.21], both P < 0.001). After adjustment for traditional risk factors, ischaemia and LGE were independent predictors of MACE (HR: 5.08 [95% CI: 2.58-14.0]; and HR: 2.28 [95% CI: 2.05-3.76]; both P < 0.001).

CONCLUSION

Stress CMR is safe, feasible and has a good discriminative prognostic value in consecutive patients with PM.

Effectiveness of Simulation-Based Training on Transesophageal Echocardiography Learning

Trial Registration

ClinicalTrials.gov Identifier: NCT05564507

Machine learning-based scoring system to predict in-hospital outcomes in patients hospitalized with COVID-19

BACKGROUND

The evolution of patients hospitalized with coronavirus disease 2019 (COVID-19) is still hard to predict, even after several months of dealing with the pandemic.

AIMS

To develop and validate a score to predict outcomes in patients hospitalized with COVID-19.

METHODS

All consecutive adults hospitalized for COVID-19 from February to April 2020 were included in a nationwide observational study. Primary composite outcome was transfer to an intensive care unit from an emergency department or conventional ward, or in-hospital death. A score that estimates the risk of experiencing the primary outcome was constructed from a derivation cohort using stacked LASSO (Least Absolute Shrinkage and Selection Operator), and was tested in a validation cohort.

RESULTS

Among 2873 patients analysed (57.9% men; 66.6±17.0 years), the primary outcome occurred in 838 (29.2%) patients: 551 (19.2%) were transferred to an intensive care unit; and 287 (10.0%) died in-hospital without transfer to an intensive care unit. Using stacked LASSO, we identified 11 variables independently associated with the primary outcome in multivariable analysis in the derivation cohort (n=2313), including demographics (sex), triage vitals (body temperature, dyspnoea, respiratory rate, fraction of inspired oxygen, blood oxygen saturation) and biological variables (pH, platelets, C-reactive protein, aspartate aminotransferase, estimated glomerular filtration rate). The Critical COVID-19 France (CCF) risk score was then developed, and displayed accurate calibration and discrimination in the derivation cohort, with C-statistics of 0.78 (95% confidence interval 0.75-0.80). The CCF risk score performed significantly better (i.e. higher C-statistics) than the usual critical care risk scores.

CONCLUSIONS

The CCF risk score was built using data collected routinely at hospital admission to predict outcomes in patients with COVID-19. This score holds promise to improve early triage of patients and allocation of healthcare resources.

Clustering of patients with inconclusive non-invasive stress testing referred for vasodilator stress cardiovascular magnetic resonance

BACKGROUND

Inconclusive non-invasive stress testing is associated with impaired outcome. This population is very heterogeneous, and its characteristics are not well depicted by conventional methods.

AIMS

To identify patient subgroups by phenotypic unsupervised clustering, integrating clinical and cardiovascular magnetic resonance data to unveil pathophysiological differences between subgroups of patients with inconclusive stress tests.

METHODS

Between 2008 and 2020, consecutive patients with a first inconclusive non-invasive stress test referred for stress cardiovascular magnetic resonance were followed for the occurrence of major adverse cardiovascular events (defined as cardiovascular death or myocardial infarction). A cluster analysis was performed on clinical and cardiovascular magnetic resonance variables.

RESULTS

Of 1402 patients (67% male; mean age 70±11years) who completed the follow-up (median 6.5years, interquartile range 5.6-7.5years), 197 experienced major adverse cardiovascular events (14.1%). Three distinct phenogroups were identified based upon unsupervised hierarchical clustering of principal components: phenogroup 1=history of percutaneous coronary intervention with viable myocardial infarction and preserved left ventricular ejection fraction; phenogroup 2=atrial fibrillation with preserved left ventricular ejection fraction; and phenogroup 3=coronary artery bypass graft with non-viable myocardial scar and reduced left ventricular ejection fraction. Using survival analysis, the occurrence of major adverse cardiovascular events (P=0.007), cardiovascular mortality (P=0.002) and all-cause mortality (P<0.001) differed among the three phenogroups. Phenogroup 3 presented the worse prognosis. In each phenogroup, ischaemia was associated with major adverse cardiovascular events (phenogroup 1: hazard ratio 2.79, 95% confidence interval 1.61-4.84; phenogroup 2: hazard ratio 2.59, 95% confidence interval 1.69-3.97; phenogroup 3: hazard ratio 3.16, 95% confidence interval 1.82-5.49; all P<0.001).

CONCLUSIONS

Cluster analysis of clinical and cardiovascular magnetic resonance variables identified three phenogroups of patients with inconclusive stress testing, with distinct prognostic profiles.

Contrast-enhanced cine MR sequences in the assessment of myocardial hyperemia in acute myocarditis: can they help? A feasibility study

The study was designed to assess the accuracy of contrast-enhanced balanced steady-state free precession (cine-SSFP) CMR imaging sequences to exhibit myocardial hyperemia in acute myocarditis, which has for a long time been investigated in some centers using early gadolinium enhancement (EGE) sequence. Contrast-enhanced cine-SSFP (CESSFP) sequences were compared to precontrast cine-SSFP sequences to calculate the early cine-contrast enhancement in 36 consecutive patients with acute myocarditis and 36 controls matched for age and gender. Four-chamber views images were obtained in each subject before and after gadolinium injection. Absolute and relative left ventricular myocardial enhancement of the overall myocardium, then separately of the lateral wall and interventricular septum was analyzed in telediastole. Myocarditis patients displayed higher cine-SSFP absolute enhancement than controls (overall left ventricular myocardium 2.38 ± 0.33 vs 1.84 ± 0.31; lateral wall 2.45 ± 0.35 vs 1.83 ± 0.32; and septum 2.26 ± 0.29 vs 1.82 ± 0.29, p < 0.0001 for all). Less significant differences were observed for the relative enhancement (p < 0.05 for all). Using ROC curves, the optimal threshold value of absolute enhancement to diagnose acute myocarditis was 2.05 (sensitivity: 86%; specificity: 81%). Given the simplicity of use, contrast-enhanced cine-SSFP sequences should be used as an additional diagnostic tool to detect hyperemia in acute myocarditis patients.

Prognostic value of a left atrioventricular coupling index in pre- and post-menopausal women from the Multi-Ethnic Study of Atherosclerosis

Background

Sex hormones associated with both the left atrial (LA) and left ventricular (LV) structures in women, but the association of menopause status with left atrioventricular coupling is not established.

Aim

To assess the prognostic value of a left atrioventricular coupling index (LACI) in peri-menopausal women without a history of cardiovascular disease (CVD).

Materials and methods

In all women participating in MESA study with baseline cardiovascular MRI, the LACI was measured as the ratio of the LA end-diastolic volume to the LV end-diastolic volume. Cox models were used to assess the association between the LACI and the outcomes of atrial fibrillation (AF), heart failure (HF), coronary heart disease (CHD) death, and hard CVD.

Results

Among the 2,087 women participants (61 ± 10 years), 485 cardiovascular events occurred (mean follow-up: 13.2 ± 3.3 years). A higher LACI was independently associated with AF (HR 1.70; 95%CI [1.51–1.90]), HF (HR 1.62; [1.33–1.97]), CHD death (HR 1.36; [1.10–1.68]), and hard CVD (HR 1.30; [1.13–1.51], all p &lt; 0.001). Adjusted models with the LACI showed significant improvement in model discrimination and reclassification when compared to traditional models to predict: incident AF (C-statistic: 0.82 vs. 0.79; NRI = 0.325; IDI = 0.036), HF (C-statistic: 0.84 vs. 0.81; NRI = 0.571; IDI = 0.023), CHD death (C-statistic: 0.87 vs. 0.85; NRI = 0.506; IDI = 0.012), hard CVD (C-statistic: 0.78 vs. 0.76; NRI = 0.229; IDI = 0.012). The prognostic value of the LACI had a better discrimination and reclassification than individual LA or LV parameters.

Conclusion

In a multi-ethnic population of pre- and post-menopausal women, the LACI is an independent predictor of HF, AF, CHD death, and hard CVD.

Clinical trial registration

[https://clinicaltrials.gov/], identifier [NCT00005487].

Machine-Learning Score Using Stress CMR for Death Prediction in Patients With Suspected or Known CAD

BACKGROUND

In patients with suspected or known coronary artery disease, traditional prognostic risk assessment is based on a limited selection of clinical and imaging findings. Machine learning (ML) methods can take into account a greater number and complexity of variables.

OBJECTIVES

This study sought to investigate the feasibility and accuracy of ML using stress cardiac magnetic resonance (CMR) and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and compared its performance with existing clinical or CMR scores.

METHODS

Between 2008 and 2018, a retrospective cohort study with a median follow-up of 6.0 (IQR: 5.0-8.0) years included all consecutive patients referred for stress CMR. Twenty-three clinical and 11 stress CMR parameters were evaluated. ML involved automated feature selection by random survival forest, model building with a multiple fractional polynomial algorithm, and 5 repetitions of 10-fold stratified cross-validation. The primary outcome was all-cause death based on the electronic National Death Registry. The external validation cohort of the ML score was performed in another center.

RESULTS

Of 31,752 consecutive patients (mean age: 63.7 ± 12.1 years, and 65.7% male), 2,679 (8.4%) died with 206,453 patient-years of follow-up. The ML score (ranging from 0 to 10 points) exhibited a higher area under the curve compared with Clinical and Stress Cardiac Magnetic Resonance score, European Systematic Coronary Risk Estimation score, QRISK3 score, Framingham Risk Score, and stress CMR data alone for prediction of 10-year all-cause mortality (ML score: 0.76 vs Clinical and Stress Cardiac Magnetic Resonance score: 0.68, European Systematic Coronary Risk Estimation score: 0.66, QRISK3 score: 0.64, Framingham Risk Score: 0.63, extent of inducible ischemia: 0.66, extent of late gadolinium enhancement: 0.65; all P < 0.001). The ML score also exhibited a good area under the curve in the external cohort (0.75).

CONCLUSIONS

The ML score including clinical and stress CMR data exhibited a higher prognostic value to predict 10-year death compared with all traditional clinical or CMR scores.

Change in left atrial function and volume predicts heart failure with preserved and reduced ejection fraction: the multi-ethnic study of atherosclerosis

Aims

This study used cardiac magnetic resonance (CMR) imaging to investigate the relationship between longitudinal change in left atrial (LA) function and incident heart failure (HF), in a multi-ethnic population free of known cardiovascular disease at baseline.

Methods and results

In the Multi-Ethnic Study of Atherosclerosis (MESA), 2470 participants (60±9 years, 47% males), free at baseline of clinically recognized cardiovascular disease, had LA volume and function assessed with CMR imaging at baseline (2000–02) and 9.4±0.6 years later. Seventy three (3%) participants developed incident HF over 7.1±2.1 years; of these, 39 participants had preserved ejection fraction (HFpEF) and 34 participants had reduced ejection fraction (HFrEF). An annual decrease of 1-SD unit in peak LA strain (ΔLASmax) was most strongly associated with the risk of HFpEF (subdistribution HR=2.56, 95% confidence interval (CI) [1.34–4.90], P=0.004) and improved model reclassification and discrimination in predicting HFpEF (c-statistic=0.84, 95% CI [0.79–0.90]; NRI=0.34, P=0.01; IDI=0.02, P=0.02; x2=4.25, P=0.89) adjusting for event-specific risk factors and baseline LA parameters. An annual decrease of 1ml/m2 of pre-atrial LA volume index (ΔLAVipreA) was most strongly associated with the risk of HFrEF (subdistribution HR=1.88, 95% CI [1.44–2.45], P&lt;0.001) and improved model reclassification and discrimination in predicting HFrEF (c-statistic=0.81, 95% CI (0.72–0.90); NRI=0.31, P=0.03; IDI=0.01, P=0.50; x2=15.4, P=0.08), adjusting for event-specific risk factors and baseline LA measures (Table 1).

Conclusion

In this multi-ethnic population free of clinical cardiovascular disease at baseline, ΔLASmax and ΔLAVipreA were associated with, and incrementally predictive of HFpEF and HFrEF respectively, after adjusting for event-specific risk factors and baseline LA measures.

Disclaimer

The views expressed in this abstract are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; or the U.S. Department of Health and Human Services.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): National Heart, Lung and Blood InstituteNational Center for Advancing Translational Sciences

Machine-learning score using stress CMR for death prediction in patients with suspected or known CAD

Background

In patients with suspected or known coronary artery disease (CAD), traditional prognostic risk assessment is based upon a limited selection of clinical and imaging findings. Machine learning (ML) methods can take into account a greater number and complexity of variables.

Purpose

To investigate the feasibility and accuracy of ML using stress CMR and clinical data to predict 10-year all-cause mortality in patients with suspected or known CAD, and compared its performance to existing clinical or CMR scores.

Methods

Between 2008 and 2018, a retrospective cohort study with a median follow-up of 6.0 years (interquartile range: 5.0–8.0) included all consecutive patients referred for stress CMR. Twenty-three clinical and 11 stress CMR parameters were evaluated. Machine learning involved automated feature selection by random survival forest, model building with a multiple fractional polynomial algorithm, and 5 repetitions of 10-fold stratified cross-validation. The primary outcome was all-cause death based on the electronic National Death Registry. The external validation cohort of the ML score was performed in another center.

Results

Of 31,752 consecutive patients (mean age 63.7±12.1 years and 65.7% males), 2,679 (8.4%) died with 206,453 patient-years of follow-up. ML score (ranging 0 to 10 points) exhibited a higher area-under-the-curve compared with C-CMR-10-score, ESC-score, QRISK3-score, FRS and stress CMR data alone for prediction of 10-year all-cause mortality (ML: 0.76 vs. C-CMR-10-score: 0.68, ESC-score: 0.66, QRISK3-score: 0.64, FRS: 0.63, extent of inducible ischemia: 0.66, extent of LGE: 0.65, all p&lt;0.001). The ML score exhibited also a good area-under-the-curve in the external cohort (AUC: 0.75).

Conclusions

The ML score including clinical and stress CMR data exhibited a higher prognostic value to predict 10-year death compared with all traditional clinical or CMR scores.

Funding Acknowledgement

Type of funding sources: None.

Incremental prognostic value of stress CMR in symptomatic patients with coronary stenosis on CCTA

Background

Noninvasive functional imaging is often performed in patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CCTA). However, the prognostic value of stress cardiovascular magnetic resonance (CMR) is unknown in patients with coronary stenosis of unknown significance on CCTA.

Purpose

To assess the prognostic value of stress CMR in symptomatic patients with obstructive CAD of unknown significance on CCTA.

Methods

Between 2008–2020, consecutive symptomatic patients without known CAD referred for CCTA were screened. Patients with obstructive CAD (at least 1 ≥50% stenosis on CCTA) were further referred for stress CMR and followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or nonfatal myocardial infarction.

Results

Of 2,210 patients who completed CMR, 2,038 (46.5% male, mean age 69.8±12.2 years) completed follow-up (median 6.8 [IQR 5.9–9.2] years); 281 experienced a MACE (13.8%). Inducible ischemia and late gadolinium enhancement (LGE) were significantly associated with MACE (HR: 4.51, [95% CI: 3.55–5.74]; and HR: 3.32, [95% CI: 2.55–4.32], respectively; p&lt;0.001). In multivariable Cox regression, number of segments with &gt;70% stenosis, with noncalcified plaques and number of vessels with obstructive CAD were prognosticators (p&lt;0.001). The presence of inducible ischemia and LGE were independent predictors of MACE (HR: 3.97, [95% CI: 3.43–5.13]; HR: 2.30, [95% CI: 1.52–3.33]; p&lt;0.001). After adjustment, stress CMR showed the best improvement in model discrimination and reclassification above traditional risk factors and CCTA (C-statistic improvement: 0.04; NRI=0.421; IDI=0.047).

Conclusions

In symptomatic patients with obstructive CAD of unknown significance on CCTA, stress CMR had incremental prognostic value to predict MACE.

Funding Acknowledgement

Type of funding sources: None.

Regional strain score as prognostic marker of cardiovascular events. from the Multi-Ethnic Study of Atherosclerosis (MESA)

Background

Left ventricular (LV) circumferential strain (Ecc) is an accurate indicator of regional myocardial function, particularly using the regional Ecc or layer-specific strain.

Purpose

To investigate the prognostic value of a regional strain score (RSS) for predicting the incident of heart failure (HF) and coronary heart disease (CHD) in a population without a history of cardiovascular disease at baseline.

Methods

In Multi-Ethnic Study of Atherosclerosis (MESA), 1,506 study participants (63.3±9.4 years, 54.6% men) underwent tagged magnetic resonance imaging for left ventricular circumferential strain (Ecc) analysis. Using −17% and −10% as Ecc cut-offs, each segment was rated from 0–2 points according to the Ecc value of each layer. The endo-Ecc, mid-Ecc, and epi-Ecc values from the 16-segment model were used to calculate three RSS: Endo-, Mid-, and Epi-RSS, respectively, which were defined as a percentage of good LV regional function. The Intramyocardial-RSS was the sum of these three RSS. Cox proportional models were used to evaluate the association between RSS and cardiovascular outcomes.

Results

After a median [IQR] follow-up of 15.9 [12.9–16.6] years, 122 hard CHD and 91 HF were observed. After adjustment, Mid-, Epi-, and Intramyocardial-RSS values &lt;50% were independently associated with HF (HR 1.43; 95% CI [1.08–2.87], p=0.004; HR 1.80; 95% CI [1.12–3.07], p&lt;0.001; and HR 2.01; 95% CI [1.19–3.20], p&lt;0.001). After adjustment, Endo-, Mid-, Epi-, and Intramyocardial-RSS &lt;50% were also independently associated with hard CHD (HR 1.31; 95% CI [1.03–1.51], p=0.04; HR 1.79; 95% CI [1.26–2.57], p&lt;0.001; HR 2.03; 95% CI [1.45–3.40], p&lt;0.001; and HR 2.28; 95% CI [1.51–3.53], p&lt;0.001).

Conclusion

Layer-specific regional Ecc, assessed by RSS, provides a robust, independent predictive value for incident HF and hard CHD in asymptomatic participants without any cardiovascular disease at baseline.

Funding Acknowledgement

Type of funding sources: None.

Efficacy of simulation-based training on transoesophageal echocardiography learning in a multicentre randomised controlled trial: SIMULATOR study

Background

Evidence on the impact of simulation-based training in transesophageal echocardiography (TEE) is scarce.

Purpose

We aimed to assess the efficacy of simulation-based versus traditional teaching on TEE knowledge and skills for cardiology residents.

Methods

Between November 2020 and November 2021, all consecutive cardiology residents inexperienced from TEE were randomised (1:1, n=324) through 42 French University Centers into two groups with or without simulation support (either a simulation group or a traditional group). The coprimary outcomes were the scores in the final theoretical and practical tests 3 months after the training. TEE duration and the feelings of residents were also assessed. An economic analysis was also performed.

Results

While the theoretical and practical test scores were similar between the two groups before the training (respectively P=0.80 and P=0.51), the residents in the simulation group displayed higher theoretical test and practical test scores after the training than those in the traditional group (respectively 47.2±15.6% vs. 38.3±19.8%, P&lt;0.0001 and 74.5±17.7% vs. 59.0±25.1%, P&lt;0.0001). Subgroups analyses showed that the efficacy of the simulation training was even greater when performed at the beginning of residency (P&lt;0.0001). After the training, the duration to perform a complete TEE was significantly lower in the simulation group than in the traditional group (respectively 8.3±1.4 min vs. 9.4±1.2 min, P&lt;0.0001). Finally, residents' feelings were better in the simulation group than in the traditional group across all components (P&lt;0.0001). Compared to the traditional group, the average additional cost per resident of the simulation program was respectively €1,785, €942 or €662 for 20, 40 and 60 residents.

Conclusion

Simulation-based teaching on TEE showed a significant improvement in knowledge, skills, and feelings of cardiology residents as well as a reduction in the duration to complete the examination.

Funding Acknowledgement

Type of funding sources: None.

Determinants of left atrioventricular coupling index: the multi-ethnic study of atherosclerosis (MESA)

Background

Recent studies have described a novel left atrioventricular coupling index (LACI), which had a better prognostic value than individual left atrial (LA) or left ventricular (LV) parameters measured separately to predict cardiovascular events.

Purpose

To identify the determinants of the LACI and its 10-year annual change (ΔLACI), measured by cardiovascular magnetic resonance (CMR), and to better understand the parameters governing this left atrioventricular coupling.

Methods

In the Multi-Ethnic Study of Atherosclerosis (MESA), 2,112 study participants, free of cardiovascular disease at baseline, had LACI assessed by CMR imaging at baseline (LACIBaseline, 2000–2002) and 10 years later (2010–2012). The LACI was defined as the ratio of LA to LV end-diastolic volumes. Linear regression analyses were performed to identify independent determinants of LACIBaseline or ΔLACI.

Results

In the 2,112 participants (58.8±9.1 years, 46.6% male), after adjustment for all covariates, age was independently associated with both LACIBaseline (R2=0.10, slope=0.16) and ΔLACI (R2=0.15, slope=0.008, both p&lt;0.001). African Americans had the highest LACIBaseline value (18.0±7.7%). Although there was no difference in LACIBaseline between women and men (p=0.19), ΔLACI was higher in women than in men (1.0±1.1 vs. 0.8±1.0%/year, p&lt;0.001). Diabetes and a higher BMI were independently associated with LACIBaseline (both p&lt;0.001). LACIBaseline was independently associated with LV myocardial fibrosis markers (native T1: R2=0.11, slope = 0.09, p=0.038; and extra-cellular volume: R2=0.08, slope = 0.28, p=0.035) and NT-proBNP levels (R2=0.10, slope = −1.11, p&lt;0.001) but was not associated with IL-6 or hsCRP.

Conclusions

Age, sex, ethnicity, diabetes, and BMI were independent determinants of LACI. LACI was independently associated with LV myocardial fibrosis markers and NT-proBNP levels.

Funding Acknowledgement

Type of funding sources: None.

Incremental prognostic value of stress CMR for cardiovascular risk stratification after a cryptogenic ischemic stroke

Background

One-third of ischemic strokes are “cryptogenic” without clearly identified etiology. Although coronary artery disease (CAD) is the main cause of death after stroke, the interest of CAD screening in patients with cryptogenic stroke is still debated.

Purpose

The aim of the study was to assess the incremental prognostic value of stress cardiovascular magnetic resonance (CMR) beyond traditional risk factors for predicting cardiovascular events in patients with a prior cryptogenic ischemic stroke.

Methods

Between 2008 and 2021, consecutive patients with prior cryptogenic strokes referred for stress CMR were included and followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or nonfatal myocardial infarction (MI). Univariable and multivariable Cox regressions were performed to determine the prognostic value of unrecognized MI and silent ischemia.

Results

Of 542 patients (55.2% male, mean age 71.4±8.8 years) who completed the follow-up (median 5.9 years), 66 (12.2%) experienced MACE. Silent ischemia and unrecognized MI were detected in 18% and 17% of patients, respectively. Using Kaplan-Meier analysis, silent ischemia and unrecognized MI were associated with the occurrence of MACE (hazard ratio, HR: 8.43 [95% CI: 5.11–13.9]; HR: 7.87 [95% CI: 4.80–12.9]; respectively, p&lt;0.001). In multivariable analysis, silent ischemia and unrecognized MI were independent predictors of MACE (HR: 8.08 [95% CI: 4.21–15.5]; HR: 6.65 [95% CI: 3.49–12.7]; respectively, p&lt;0.001). After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors (C-statistic improvement: 0.13; NRI=0.428; IDI=0.048).

Conclusions

In patients with prior cryptogenic stroke, stress CMR findings have an incremental prognostic value to predict MACE over traditional risk factors.

Funding Acknowledgement

Type of funding sources: None.

Prevalence of illicit drugs use and association with in-hospital major adverse events in patients hospitalised for acute cardiac events: the ADDICT-ICCU Trial

Background

The prevalence and short-term cardiovascular consequences of illicit drug use in patients admitted to the intensive cardiac care unit (ICCU) for acute cardiovascular events are not well established.

Purpose

The Addiction in Intensive Cardiac Care Units (ADDICT-ICCU) study was designed to assess prospectively the prevalence of illicit drugs use, and their association with the occurrence of in-hospital major adverse events (MAEs) in consecutive patients admitted to ICCUs for acute cardiovascular events.

Methods

From 7 to 22 April 2021, screening for illicit drug was performed by systematic urinary testing in a prospective study including all consecutive patients admitted to ICCU in 39 centres throughout France. The primary outcome was the prevalence of the illicit drugs detected. The secondary clinical outcome was in-hospital Major Adverse cardiac Events (MAEs) defined by death, resuscitated cardiac arrest or cardiogenic shock.

Results

Among 1,499 consecutive patients screened (age 63.3±14.9 years, 69.6% male), 161 (10.7%) had a positive test for illicit drugs (cannabis: 9.1%, opioids: 2.1%, cocaine: 1.7%, amphetamines: 0.7%, 3,4-methylenedioxymethamphetamine: 0.6%). Patients who used illicit drugs were young (33.0% at age &lt;40 vs. 5.9% at age ≥60 years), and more frequently male (11.9% vs. 8.1%, p&lt;0.001). Self-reported current use was 56.5% in patients with a positive test. After a median duration of hospitalisation of five days, there were 61 in-hospital MAEs (4.1%).

The detection of illicit drugs was associated with a higher rate of MAEs after adjustment for known predictors of severity (OR=8.84; 95% CI: 4.68–16.7, p&lt;0.001) or after using a propensity score adjustment (OR=5.81; 95% CI: 4.14–8.14, p&lt;0.001). After adjustment for age and sex, detection of cannabis or cocaine was significantly associated with MAEs (OR=3.53; 95% CI: 1.25–9.95, p&lt;0.001; OR=5.12; 95% CI: 1.48–17.2, p=0.004 respectively). Multiple drug detection (28% of positive patients) was associated with a higher incidence of MAEs than single drug detection.

Conclusions

The prevalence of illicit drugs use in patients hospitalised in the ICCUs for acute cardiovascular events was 10.7% and was under-reported. Illicit drugs detection was independently associated with a higher occurrence of in-hospital MAEs.

Funding Acknowledgement

Type of funding sources: Foundation. Main funding source(s): Fondation Coeur et Recherche

Prognostic value of a left atrioventricular coupling index (LACI) in pre- and post-menopausal women. from the multi-ethnic study of atherosclerosis (MESA)

Background

Endogenous sex hormones associated with both the left atrial (LA) and left ventricular (LV) structures in peri-menopausal women, but the association of menopause status with left atrioventricular coupling is not well established.

Purpose

To assess the prognostic value of a left atrioventricular coupling index (LACI) in pre- and post-menopausal women without a history of cardiovascular disease (CVD) at baseline in the Multi-Ethnic Study of Atherosclerosis (MESA).

Methods

In women participating in the MESA study, the LACI was measured as the ratio of the left atrial (LA) end-diastolic volume to the left ventricular (LV) end-diastolic volume using cardiovascular magnetic resonance (CMR). Cox proportional hazard models were used to assess the association between the LACI and the outcomes of atrial fibrillation (AF), heart failure (HF), and hard CVD defined by myocardial infarction, resuscitated cardiac arrest, stroke, or coronary heart disease death.

Results

Among the 2,087 women participants (61±10 years), 485 cardiovascular events were observed during the mean follow-up period of 13.2±3.3 years. A higher LACI was independently associated with AF (HR 1.70; 95% CI [1.51–1.90]), HF (HR 1.62; [1.33–1.97]), and hard CVD (HR 1.30; [1.13–1.51], all p&lt;0.001). Adjusted models with the LACI showed significant improvement in model discrimination and reclassification when compared to currently used standard models used to predict the incidence of AF (C-statistic=0.82 vs. 0.79; NRI=0.325; IDI=0.036), HF (C-statistic=0.84 vs. 0.81; NRI=0.571; IDI=0.023), hard CVD (C-statistic=0.78 vs. 0.76; NRI=0.229; IDI=0.012).

Conclusion

In a multi-ethnic population of pre- and post-menopausal women, the LACI is an independent predictor of HF, AF, and hard CVD. In both pre- and post-menopausal women, the LACI has an incremental prognostic value for predicting cardiovascular events over traditional risk factors and sex hormone levels.

ClinicalTrials: gov Identifier: NCT00005487

Funding Acknowledgement

Type of funding sources: None.

Additional prognostic value of stress cardiovascular magnetic resonance for cardiovascular risk stratification after a cryptogenic ischemic stroke

Background

One-third of ischemic strokes are “cryptogenic” without clearly identified etiology. Although coronary artery disease (CAD) is the main cause of death after stroke, the interest in CAD screening in patients with cryptogenic stroke is still debated.

Aim

The aim of the study was to assess the incremental prognostic value of stress cardiovascular magnetic resonance (CMR) beyond traditional risk factors for predicting cardiovascular events in patients with a prior cryptogenic ischemic stroke.

Materials and methods

Between 2008 and 2021, consecutive patients with prior cryptogenic strokes referred for stress CMR were included and followed for the occurrence of major adverse cardiovascular events (MACEs), defined by cardiovascular death or non-fatal myocardial infarction (MI). Univariable and multivariable Cox regressions were performed to determine the prognostic value of unrecognized MI and silent ischemia.

Results

Of 542 patients (55.2% male, mean age 71.4 ± 8.8 years) who completed the follow-up (median 5.9 years), 66 (12.2%) experienced MACE. Silent ischemia and unrecognized MI were detected in 18 and 17% of patients, respectively. Using Kaplan–Meier analysis, silent ischemia and unrecognized MI were associated with the occurrence of MACE [hazard ratio, HR: 8.43 (95% CI: 5.11–13.9); HR: 7.87 (95% CI: 4.80–12.9), respectively, p < 0.001]. In multivariable analysis, silent ischemia and unrecognized MI were independent predictors of MACE [HR: 8.08 (95% CI: 4.21–15.5); HR: 6.65 (95% CI: 3.49–12.7), respectively, p < 0.001]. After adjustment, stress CMR findings showed the best improvement in model discrimination and reclassification above traditional risk factors (C-statistic improvement: 0.13; NRI = 0.428; IDI = 0.048).

Conclusion

In patients with prior cryptogenic stroke, stress CMR findings have an incremental prognostic value to predict MACE over traditional risk factors.

Prevalence of psychoactive drug use in patients hospitalized for acute cardiac events: Rationale and design of the ADDICT-ICCU trial, from the Emergency and Acute Cardiovascular Care Working Group and the National College of Cardiologists in Training of the French Society of Cardiology

BACKGROUND

Psychoactive drugs, including illicit drugs, are associated with an increased rate of cardiovascular events. The prevalence and outcome of patients using these drugs at the time of admission to an intensive cardiac care unit is unknown.

AIM

To assess the prevalence of psychoactive drugs detected in consecutive patients hospitalized in an intensive cardiac care unit for an acute cardiovascular event.

METHODS

This is a nationwide prospective multicentre study, involving 39 centres throughout France, including all consecutive patients hospitalized in an intensive cardiac care unit within 2weeks. Psychoactive drug use will be assessed systematically by urine drug assay within 2hours of intensive cardiac care unit admission, to detect illicit (cannabinoids, cocaine, amphetamines, ecstasy, heroin and other opioids) and non-illicit (barbiturates, benzodiazepines, tricyclic antidepressants, methadone and buprenorphine) psychoactive drugs. Smoking will be investigated systematically by exhaled carbon monoxide measurement, and alcohol consumption using a standardized questionnaire. In-hospital major adverse events, including death, resuscitated cardiac arrest and cardiogenic shock, will be recorded. After discharge, all-cause death and major adverse cardiovascular events will be recorded systematically and adjudicated at 12months of follow-up.

RESULTS

The primary outcome will be the prevalence of psychoactive drugs detected by systematic screening among all patients hospitalized in an intensive cardiac care unit. The in-hospital major adverse events will be analysed according to the presence or absence of detected psychoactive drugs. Subgroup analysis stratified by initial clinical presentation and type of psychoactive drug will be performed.

CONCLUSIONS

This is the first prospective multicentre study to assess the prevalence of psychoactive drugs detected by systematic screening in consecutive patients hospitalized for acute cardiovascular events.

Fully automatic AI-based valve motion parameter extraction on long axis CINE images - application on N=11000 patient datasets

Funding Acknowledgements

Type of funding sources: Private company. Main funding source(s): Research support from Siemens Healthineers GmbH.

Background

Mitral valve (MV) motion parameters, assessable using CMR [1, 2], have been shown to help the diagnosis of cardiac dysfunction. To extract valve motion parameters, we propose a fully automatic AI-based prototype system that tracks annulus and apex landmarks by the registration network on time-resolved two- and four-chamber CMR cine views. Parameters such as displacements, velocities, mitral annular plane systolic excursion (MAPSE), or longitudinal shortening (LS) are automatically extracted and evaluated on a large CMR dataset (N=11000).

Methods

The system consists of two sequential neural networks with a processing step in between (Fig. 1a) [3]. Initially, a 2D UNet is applied to localize both MV annulus insertion points as well as the apex. Based on these points, the image processing step consists of rotating, cropping, and interpolating the images, allowing a standardized image impression for both long axis views. Finally, the registration network (VoxelMorph framework [4]) is applied to the processed series and tracks the MV annulus insertion points and apex over the cardiac cycle by the deformation fields obtained by the network. The system was trained on (N=166) multivendor, multi-field strength, ground-truth annotated datasets [5].

A total of 11000 datasets, acquired on a 1.5T scanner (MAGNETOM Aera, Siemens Healthcare, Erlangen, Germany) from January 2016 to September 2017 [6], were used for parameter extraction. 200 of these datasets were additionally annotated semi-automatically for the performance evaluation of the system.

Five motion parameters were automatically derived by the system that are defined as follows (Fig. 1b): (1) The atrioventricular plane displacement (AVPD) as the distance of the plane spanned by the MV annulus points relative to the first frame, (2) the atrioventricular plane velocity (AVPV) as the discrete temporal derivate of the AVPD, (3) the diameter of the annulus as the maximum distance between the MV annulus points, (4) the lateral/inferior and septal/superior MAPSE, as the maximum MV points’ excursion, and (5) the LS as the percentage size difference of the distance between the mid valvular point and the apex point at end-systole and end-diastole.

Results

The accuracy of the system resulted in deviations on the annotated dataset of 1.02 ± 0.87 mm, 0.01 ± 0.02 mm/s, 1.54 ± 1.21 mm, 2.30 ± 1.35 mm, 2.1 ± 1.8 mm for AVPD, AVPV, diameter, MAPSE, and LS respectively. Initial statistics on all datasets (Fig. 2) revealed a mean lateral/inferior, septal/superior MAPSE and LS of 8.7 ± 2.7 mm, 10.5 ± 3.2 mm and 16.3 ± 4.2 % for two-chamber and 9.6 ± 2.6 mm, 8.7 ± 2.6 mm and 15.5 ± 3.9 % for four-chamber views, respectively.

Conclusions

The results demonstrate the versatility of the proposed system for automatic extraction of various MV motion parameters. The proposed system enables automatic extraction of clinically relevant parameters and can improve the automation of MV-based analyses. System overview & Parameter of interestsAnalysis of the extracted parameters