scholarly journals Long‐term prognostic value of vasodilator stress cardiac magnetic resonance in patients with atrial fibrillation

2021 ◽  
Author(s):  
Karl J. Weiss ◽  
Sarah B. Nasser ◽  
Tamar Bigvava ◽  
Adelina Doltra ◽  
Bernhard Schnackenburg ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Prognostic Value ◽  
Vasodilator Stress ◽  
Stress Cardiac Magnetic Resonance

scholarly journals Chest pain of unknown coronary origin: can exercise ECG testing contribute to long-term risk prediction on top of vasodilator stress cardiac magnetic resonance?

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
V Marcos Garces ◽  
H Merenciano-Gonzalez ◽  
A Gabaldon-Perez ◽  
G Nunez-Marin ◽  
M Lorenzo-Hernandez ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Chest Pain ◽  
Coronary Artery ◽  
Magnetic Resonance ◽  
Risk Stratification ◽  
Prognostic Value ◽  
Funding Source ◽  
Stress Cardiac Magnetic Resonance ◽  
Exercise Ecg

Abstract Background The prognostic value of both exercise ECG testing (ExECG) and vasodilator stress cardiac magnetic resonance (VS-CMR) is well-known in patients with chest pain of unknown coronary origin. However, it is unknown whether performing both techniques can improve the risk stratification of these patients. Purpose We aim to confirm the additive prognostic value of ExECG and VS-CMR in a real-world cohort of patients with chest pain of unknown coronary origin. Methods We retrospectively included 288 patients in which ExECG and VS-CMR had been subsequently performed within one year. Clinical, ExECG and VS-CMR variables were registered. We performed univariate and multivariate analysis to check for the association of variables with the risk of MACE, defined as a combined endpoint of acute coronary syndrome (ACS), admission for heart failure (aHF) or all-cause death. Results During a mean follow-up of 4.2±2.15 years, we registered 27 MACE (15 ACS, 8 aHF and 8 all-cause deaths). The history of hypertension, previous coronary artery disease and/or coronary artery bypass grafting, lower maximal heart rate during ExECG (maxHR) and more extensive ischemic burden (segments with perfusion defects -PD- on stress first-pass perfusion) and myocardial necrosis (number of segments with necrosis at late gadolinium enhancement imaging) associated with the MACE endpoint. However, the only independent predictors of MACE were maxHR during ExECG (HR 0.98 [0.96–0.99], p=0.01) and more extensive segments with PD in the VS-CMR (HR 1.2 [1.07–1.34], p=0.002). We identified the best cut-off using the Youden index derived from receiver operating characteristics (ROC) analysis to predict MACE - it was ≤130bpm for maxHR during ExECG and ≥2 segments with PD on VS-CMR. These cathegories allowed us to stratify the annualized rate of MACE, which was very low (0.97%/year) in patients with normal maxHR and no PD on VS-CMR, intermediate in patients with only abnormal maxHR (1.98%/year) or PD on VS-CMR (3.24%/year) and high in patients with both abnormal maxHR and segments with PD (6.26%/year). Adding maxHR to the multivariable model including stress-induced PD by VS-CMR significantly improved the predictive power of MACE as derived from the continuous reclassification improvement index (0.47 [0.10–0.81], p<0.05). Conclusions ExECG and VS-CMR can have an additive prognostic value to predict the long-term risk of MACE in patients with chest pain of unknown coronary origin. Patients with maxHR during ExECG ≤130bpm and ≥2 segments with PD on VS-CMR are at the highest risk of MACE. Figure 1. MACE risk stratification. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): This study was funded by “Instituto de Salud Carlos III” and “Fondos Europeos de Desarrollo Regional FEDER” (PIE15/00013, PI17/01836, and CIBERCV16/11/00486 grants) and by Generalitat Valenciana (GV/2018/116).

scholarly journals A Novel Clinical and Stress Cardiac Magnetic Resonance (C-CMR-10) Score to Predict Long-Term All-Cause Mortality in Patients with Known or Suspected Chronic Coronary Syndrome

2020 ◽  
Vol 9 (6) ◽  
pp. 1957
Author(s):  
Victor Marcos-Garces ◽  
Jose Gavara ◽  
Jose V Monmeneu ◽  
Maria P Lopez-Lereu ◽  
Nerea Perez ◽  
...  
Keyword(s):  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Multivariable Analysis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Coronary Syndrome ◽  
Stress Cardiac Magnetic Resonance ◽  
All Cause Mortality ◽  
Male Sex

Vasodilator stress cardiac magnetic resonance (stressCMR) has shown robust diagnostic and prognostic value in patients with known or suspected chronic coronary syndrome (CCS). However, it is unknown whether integration of stressCMR with clinical variables in a simple clinical-imaging score can straightforwardly predict all-cause mortality in this population. We included 6187 patients in a large registry that underwent stressCMR for known or suspected CCS. Several clinical and stressCMR variables were collected, such as left ventricular ejection fraction (LVEF) and ischemic burden (number of segments with stress-induced perfusion defects (PD)). During a median follow-up of 5.56 years, we registered 682 (11%) all-cause deaths. The only independent predictors of all-cause mortality in multivariable analysis were age, male sex, diabetes mellitus (DM), LVEF and ischemic burden. Based on the weight of the chi-square increase at each step of the multivariable analysis, we created a simple clinical-stressCMR (C-CMR-10) score that included these variables (age ≥ 65 years = 3 points, LVEF ≤ 50% = 3 points, DM = 2 points, male sex = 1 point, and ischemic burden > 5 segments = 1 point). This 0 to 10 points C-CMR-10 score showed good performance to predict all-cause annualized mortality rate ranging from 0.29%/year (score = 0) to >4.6%/year (score ≥ 7). The goodness of the model and of the C-CMR-10 score was separately confirmed in 2 internal cohorts (n > 3000 each). We conclude that a novel and simple clinical-stressCMR score, which includes clinical and stressCMR variables, can provide robust prediction of the risk of long-term all-cause mortality in a population of patients with known or suspected CCS.

scholarly journals Prognostic value of texture analysis from cardiac magnetic resonance imaging in patients with Takotsubo syndrome: a machine learning based proof-of-principle approach

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Manoj Mannil ◽  
Ken Kato ◽  
Robert Manka ◽  
Jochen von Spiczak ◽  
Benjamin Peters ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Dimension Reduction ◽  
Texture Analysis ◽  
Prognostic Value ◽  
Takotsubo Syndrome ◽  
Proof Of Principle ◽  
Cmr Imaging

AbstractCardiac magnetic resonance (CMR) imaging has become an important technique for non-invasive diagnosis of takotsubo syndrome (TTS). The long-term prognostic value of CMR imaging in TTS has not been fully elucidated yet. This study sought to evaluate the prognostic value of texture analysis (TA) based on CMR images in patients with TTS using machine learning. In this multicenter study (InterTAK Registry), we investigated CMR imaging data of 58 patients (56 women, mean age 68 ± 12 years) with TTS. CMR imaging was performed in the acute to subacute phase (median time after symptom onset 4 days) of TTS. TA of the left ventricle was performed using free-hand regions-of-interest in short axis late gadolinium-enhanced and on T2-weighted (T2w) images. A total of 608 TA features adding the parameters age, gender, and body mass index were included. Dimension reduction was performed removing TA features with poor intra-class correlation coefficients (ICC ≤ 0.6) and those being redundant (correlation matrix with Pearson correlation coefficient r > 0.8). Five common machine-learning classifiers (artificial neural network Multilayer Perceptron, decision tree J48, NaïveBayes, RandomForest, and Sequential Minimal Optimization) with tenfold cross-validation were applied to assess 5-year outcome including major adverse cardiac and cerebrovascular events (MACCE). Dimension reduction yielded 10 TA features carrying prognostic information, which were all based on T2w images. The NaïveBayes machine learning classifier showed overall best performance with a sensitivity of 82.9% (confidence interval (CI) 80–86.2), specificity of 83.7% (CI 75.7–92), and an area-under-the receiver operating characteristics curve of 0.88 (CI 0.83–0.92). This proof-of-principle study is the first to identify unique T2w-derived TA features that predict long-term outcome in patients with TTS. These features might serve as imaging prognostic biomarkers in TTS patients.

P4659Left ventricular thrombus and arterial embolism in patients with noncompaction cardiomyopathy - Prognostic value of cardiac magnetic resonance imaging

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
B Schneider ◽  
T H Huemme ◽  
J Schwab ◽  
B Gerecke ◽  
U Desch ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Ejection Fraction ◽  
Prognostic Value ◽  
Resonance Imaging ◽  
Noncompaction Cardiomyopathy ◽  
Lv Ejection Fraction

Abstract Background Left ventricular noncompaction cardiomyopathy (LVNC) is characterized by an increased number of LV trabeculations with deep intertrabecular recesses. This abnormality is associated with heart failure, arrhythmias and arterial embolic events (AE). At present, it is unknown if AE is mainly due to blood stasis within the intertrabecular recesses, reduced LV ejection fraction or concomitant atrial fibrillation. LVNC is usually diagnosed by echocardiography but cardiac magnetic resonance imaging (CMRI) has evolved as an alternative method. This study assessed the prognostic value of CMRI for arterial embolic events in patients (pts) with LVNC. Methods 34 consecutive pts (19m, 15f, age 53±16) with LVNC underwent cine and contrast-enhanced CMRI with a 1.5 T scanner. LV diameter, volume, ejection fraction, and ratio of noncompacted to compacted myocardium (NC/C) were determined, and in 32 pts presence and localization of late gadolinium enhancement (LGE) was assessed. Clinical and CMRI findings were compared in pts with and without LV thrombus and/or AE. Results Overall, 20 pts (59%) were in heart failure NYHA III or IV, 14 (41%) had left bundle branch block (LBBB), 7 (21%) paroxysmal atrial fibrillation and 6 (19%) ventricular tachycardia (VT). By CMRI, LV diameter in end-diastole (66±8 mm), end-systole (53±10 mm), end-diastolic (229±69 ml) and end-systolic volume (150±68 ml) were enlarged and ejection fraction (36±14%) was reduced. The NC/C ratio was 3.2±1.4 in end-diastole and 2.6±1.4 in end-systole. One pt had right ventricular involvement with a thrombus. LGE was seen in 9/32 pts (28%) in the compacted myocardial layer (n=6), in the noncompacted trabecular layer (n=6) and within the papillary muscles (n=3). LGE was present in 3 areas in 1 and in 2 areas in 4 pts. In 3 pts (9%) a thrombus was seen within the trabecular layer which resolved under anticoagulation, and 6 additional pts (18%) without detectable thrombus experienced AE (transient ischemic attack n=1, stroke n=5). Thrombus and/or AE were not associated with age, sex, NYHA class, larger left atrial or LV diameter, LV volume, LBBB or documented VT. Atrial fibrillation (2/9 vs 5/25 pts, p=ns), LV ejection fraction (33±13% vs 38±15%, p=ns) and the NC/C ratio in end-diastole (median 3.2 vs 3) or end-systole (both median 2.6, p=ns) were similar. Thrombus and/or AE occurred mainly in pts with LGE (6/9 vs 2/23 pts, p=0.002). Conclusion In LVNC, evaluation by CMRI and demonstration of LGE in the compacted or noncompacted myocardium identifies patients at high risk for thrombus formation and/or arterial embolic events, warranting anticoagulation.

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