Factors Associated with Myocardial Uptake on Oncologic Somatostatin PET Investigations and Differentiation from Myocardial Uptake of Acute Myocarditis.

Myocardial somatostatin PET uptake is observed not only in most patients with acute myocarditis (AM) but also in some oncology patients referred for routine somatostatin PET. This raises concerns about the specificity of somatostatin PET for detecting myocarditis. The current study aims to identify factors associated with the detection of myocardial uptake on somatostatin PET scans recorded for oncology indications and differential PET criteria that characterize myocardial uptake in AM patients. Methods: We analyzed factors associated with the detection of myocardial [68Ga]Ga-DOTATOC uptake in 508 [68Ga]Ga-DOTATOC PET scans from 178 patients, performed for confirmed or suspected oncologic disease (Onc-PET) and PET criteria that could differentiate myocardial [68Ga]Ga-DOTATOC uptake in 31 patients with MRI-ascertained AM (AM-PET) from that in the Onc-PET group. Results: Significant myocardial uptake was detected in 137 (26.9%) Onc-PET scans and was independently associated with somatostatin analog treatment (exp(ß), 0.805; 95% CI, 0.728-0.890; P < 0.001) and age (exp(ß), 1.005; 95% CI, 1.001-1.009; P = 0.012). A comparable model was selected for predicting the myocardial-to-blood SUVmax ratio using somatostatin analog treatment (P < 0.001) and history of coronary artery disease (P = 0.022). Myocardial uptake was detected in 12.9% (25/193) of Onc-PET scans from patients treated with somatostatin analogs but in 43.4% (59/136) of untreated patients over the median age of 64 y. Myocardial uptake was apparent in all 31 AM-PET scans, with volume and intensity of uptake dramatically higher than in the 137 Onc-PET scans showing myocardial uptake. A myocardial-to-blood SUVmax ratio threshold of 2.20 provided a sensitivity of 87% (27/31) and a specificity of 88% (44/50) for differentiating myocardial uptake between the AM-PET group and an Onc-PET group restricted to patients with clinical characteristics comparable to those of patients in the AM-PET group (≤64 y of age, no coronary artery disease history, and no somatostatin agonists). A myocardial uptake volume threshold of 18 cm3 provided comparable diagnostic accuracy (sensitivity, 84% [26/31]; specificity, 94% [47/50]). Conclusion: Myocardial uptake was detected in 26.9% of somatostatin PET scans recorded for oncology indications. This rate was decreased by somatostatin analog treatments and increased in older individuals. However, somatostatin PET scans, analyzed with the quantitative criterion of uptake intensity or volume, are able to identify AM and to differentiate it from myocardial uptake of other origins.

Advent of severe mitral regurgitation in surgical ventricular restoration and ventricular septal rupture repair.

BACKGROUND: Per-procedural severe mitral regurgitation is a rare complication in concomitant surgical ventricular restoration and postinfarction ventricular septal rupture repair. It is challenging to discover the underlying etiology and adopt an appropriate strategy, in particular, in a high-risk patient. CASE PRESENTATION: Semi-emergent surgical ventricular restoration combined with ventricular septal rupture closure and coronary artery bypassing was performed in a 67-year-old male patient. Severe mitral regurgitation was detected after the weaning of cardiopulmonary bypass. Two key questions arose in the management of this condition: did the regurgitation exist previously and was dissimulated by significant left-to-right shunt, or it occurred secondarily to the Dor procedure? Which was the better management strategy, chordal-sparing mitral valve replacement or mitral plasty? We believed that severe mitral regurgitation was under-estimated pre-operatively and we performed an downsizing annuloplasty to treat mitral regurgitation. The outcomes were promising and the patient did well in follow-up. CONCLUSIONS: Our case brought out an open discussion on the etiology and therapeutic strategies of this complicated condition.

Myocardial deformation in malignant mitral valve prolapse: A shifting paradigm to dynamic mitral valve-ventricular interactions.

Objectives: This study sought to assess the value of myocardial deformation using strain echocardiography in patients with mitral valve prolapse (MVP) and severe ventricular arrhythmia and to evaluate its impact on rhythmic risk stratification. Background: MVP is a common valvular affection with an overly benign course. Unpredictably, selected patients will present severe ventricular arrhythmia. Methods: Patients with MVP as the only cause of aborted SCD (MVP-aSCD: ventricular fibrillation and monomorphic and polymorphic ventricular tachycardia) with no other obvious reversible cause were identified. Nonconsecutive patients referred for the echocardiographic evaluation of MVP were enrolled as a control cohort and dichotomized according to the presence or absence of premature ventricular contractions (MVP-PVC or MVP-No PVC, respectively). All patients had a comprehensive strain assessment of mechanical dispersion (MD), postsystolic shortening, and postsystolic index (PSI). Results: A total of 260 patients were enrolled (20 MVP-aSCD, 54 MVP-PVC, and 186 MVP-No PVC). Deformation pattern discrepancies were observed with a higher PSI value in MVP-aSCD than that in MVP-PVC (4.6 ± 2.0 vs. 2.9 ± 3.7, p = 0.014) and a higher MD value than that in MVP-No PVC (46.0 ± 13.0 vs. 36.4 ± 10.8, p = 0.002). In addition, PSI and MD increased the prediction of severe ventricular arrhythmia on top of classical risk factors in MVP. Net reclassification improvement was 61% (p = 0.008) for PSI and 71% (p = 0.001) for MD. Conclusions: In MVP, myocardial deformation analysis with strain echocardiography identified specific contraction patterns with postsystolic shortening leading to increased values of PSI and MD, translating the importance of mitral valve-myocardial interactions in the arrhythmogenesis of severe ventricular arrhythmia. Strain echocardiography may provide important implications for rhythmic risk stratification in MVP.

Machine Learning-Based Phenogrouping in MVP Identifies Profiles Associated With Myocardial Fibrosis and Cardiovascular Events.

BACKGROUND: Structural changes and myocardial fibrosis quantification by cardiac imaging have become increasingly important to predict cardiovascular events in patients with mitral valve prolapse (MVP). In this setting, it is likely that an unsupervised approach using machine learning may improve their risk assessment. OBJECTIVES: This study used machine learning to improve the risk assessment of patients with MVP by identifying echocardiographic phenotypes and their respective association with myocardial fibrosis and prognosis. METHODS: Clusters were constructed using echocardiographic variables in a bicentric cohort of patients with MVP (n = 429, age 54 ± 15 years) and subsequently investigated for their association with myocardial fibrosis (assessed by cardiac magnetic resonance) and cardiovascular outcomes. RESULTS: Mitral regurgitation (MR) was severe in 195 (45%) patients. Four clusters were identified: cluster 1 comprised no remodeling with mainly mild MR, cluster 2 was a transitional cluster, cluster 3 included significant left ventricular (LV) and left atrial (LA) remodeling with severe MR, and cluster 4 included remodeling with a drop in LV systolic strain. Clusters 3 and 4 featured more myocardial fibrosis than clusters 1 and 2 (P < 0.0001) and were associated with higher rates of cardiovascular events. Cluster analysis significantly improved diagnostic accuracy over conventional analysis. The decision tree identified the severity of MR along with LV systolic strain <21% and indexed LA volume >42 mL/m2 as the 3 most relevant variables to correctly classify participants into 1 of the echocardiographic profiles. CONCLUSIONS: Clustering enabled the identification of 4 clusters with distinct echocardiographic LV and LA remodeling profiles associated with myocardial fibrosis and clinical outcomes. Our findings suggest that a simple algorithm based on only 3 key variables (severity of MR, LV systolic strain, and indexed LA volume) may help risk stratification and decision making in patients with MVP. (Genetic and Phenotypic Characteristics of Mitral Valve Prolapse, NCT03884426; Myocardial Characterization of Arrhythmogenic Mitral Valve Prolapse [MVP STAMP], NCT02879825).

Detection of acute myocarditis by ECG-triggered PET imaging of somatostatin receptors compared to cardiac magnetic resonance: preliminary results.

Somatostatin receptors are overexpressed by inflammatory cells but not by cardiac cells, under normal conditions. This study assesses the detection of acute myocarditis by the ECG-triggered digital-PET imaging of somatostatin receptors (68Ga-DOTATOC-PET), as compared to Cardiac Magnetic Resonance (CMR) imaging, which is the reference diagnostic method in this setting. METHODS: Fourteen CMR-defined acute myocarditis patients had a first 15-minutes ECG-triggered 68Ga-DOTATOC PET recording, 4.4 ± 3.0 days from peak troponin, and 10 had a second 4.3 ± 0.3 months later. Myocardial/blood SUVmax ratio was analyzed relative to the normal upper limit of 2.18, which had been previously determined from oncology 68Ga-DOTATOC-PET recordings of patients with a similar age range as the myocarditis patients. RESULTS: An increased myocardial 68Ga-DOTATOC uptake relative to blood activity was invariably observed during the acute phase. SUVmax ratio exceeded 2.18 in all patients during the acute phase but also in 3/10 patients at 4-months, at a time when there were no more signs of active inflammation on CMR. A residual myocardial 68Ga-DOTATOC uptake was still observed on all gated-PET cine loops at 4-months. CONCLUSION: These preliminary results suggest that 68Ga-DOTATOC ECG-triggered digital-PET may be as sensitive as CMR at detecting myocarditis during the acute phase and more sensitive at later stages.

Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences.

Objectives: Lethality of Staphylococcus aureus (Sa) infective endocarditis (IE) is high and might be due to yet unidentified prognostic factors. The aim of this study was to search for new potential prognostic factors and assess their prognostic value in SaIE. Materials and methods: We used a two-step exploratory approach. First, using a qualitative approach derived from mortality and morbidity conferences, we conducted a review of the medical records of 30 patients with SaIE (15 deceased and 15 survivors), randomly extracted from an IE cohort database (NCT03295045), to detect new factors of possible prognostic interest. Second, we collected quantitative data for these factors in the entire set of SaIE patients and used multivariate Cox models to estimate their prognostic value. Results: A total of 134 patients with modified Duke definite SaIE were included, 64 of whom died during follow-up. Of the 56 candidate prognostic factors identified at the first step, 3 had a significant prognostic value in multivariate analysis: the prior use of non-steroidal anti-inflammatory drugs [aHR 3.60, 95% CI (1.59-8.15), p = 0.002]; the non-performance of valve surgery when indicated [aHR 1.85, 95% CI (1.01-3.39), p = 0.046]; and the decrease of vegetation size on antibiotic treatment [aHR 0.34, 95% CI (0.12-0.97), p = 0.044]. Conclusion: We identified three potential SaIE prognostic factors. These results, if externally validated, might eventually help improve the management of patients with SaIE.

Characteristics of patients with infective endocarditis and no underlying cardiac conditions.

BACKGROUND: Infective endocarditis (IE) typically occurs in patients with underlying cardiac conditions (UCC). Little is known about IE in patients without UCC. We aimed to describe the clinical, microbiological and imaging characteristics, management, and in-hospital mortality of IE patients without UCC. METHODS: We analysed the data of patients with definite IE included in an observatory between 1st January 2009 and 31st December 2019. We described patients without UCC compared to those with UCC. RESULTS: Of 1502 IE patients, 475 (31.6%) had no UCC. They were younger (median 64.0 [19.0-101.0] vs. 70.0 [18.0-104.0] years, p < .001), more often on chronic haemodialysis (5.5% vs. 2.7%, p = .008), and had more often malignancy (22.5% vs. 17.3%, p = .017), immune deficiency (10.3% vs. 6.4%, p = .008), and an indwelling central venous line (14.5% vs. 7.0%, p < .001). They more often developed cerebral complications (34.7% vs. 27.5%, p = .004) and extracerebral embolism (48.6% vs. 36.1%, p < .001). Causative microorganisms were less often coagulase negative staphylococci (5.9% vs. 10.8%, p = .002) or enterococci (10.3% vs. 15.0%, p = .014) and more often group D streptococci (14.1% vs. 10.0%, p = .020). Vegetations were more common (92.8% vs. 77.0%, p < .001) and larger (14.0 [1.0-87.0], vs. 12.0 [0.5-60.0] mm, p = .002). They had more valve perforation or valve regurgitation (67.4% vs. 53.0%, p < .001) and underwent valve surgery more often (53.5% vs. 36.3%, p < .001). In-hospital mortality did not significantly differ between groups. CONCLUSION: Patients with IE and no UCC were younger than those with UCC, had specific comorbidities and portals of entry, and a more severe disease course.

Neurofibromatosis Type 1 with Highly Active Relapsing-Remitting Multiple Sclerosis (RRMS).

Neurofibromatosis type 1 (NF1) is an autosomal dominant neurocutaneous disease which confers an increased risk of malignant tumour development. Relapsing remitting multiple sclerosis (RRMS) is an inflammatory demyelinating disease of the central nervous system. The coexistence of multiple sclerosis and NF1 is rare but has been reported. Here, we describe the case of a 31-year-old man with NF1 and subacute walking problems with proximal pain in the lower limbs who was successfully treated with natalizumab. LEARNING POINTS: The coexistence of multiple sclerosis (MS) and neurofibromatosis type 1 (NF1) is very rare but has been described in the literature.Follow-up of patients with NF1 is important as the early detection and management of MS can prevent further disability.Appropriate treatment and physical therapy can improve the patient's activity and social life.

Hypereosinophilic cardiac disease.

Hypereosinophilia may be due to several aetiologies. Cardiac complications are not uncommon, whatever the causes. Clinical presentations of hypereosinophilic cardiac diseases may vary widely from asymptomatic form to fatal necrotic myocarditis or irreversible restrictive cardiomyopathy. As a major cause of morbidity and mortality, diagnosis of cardiac involvement is crucial. Until recently the diagnosis was exclusively based on cardiac biopsy. Nowadays, multimodal cardiac imaging, including echocardiography and cardiac magnetic resonance imaging, is the cornerstone of the diagnosis. Cardiac magnetic resonance imaging has emerged as a very useful tool for the diagnosis allowing precise tissue characterization. It has even been proposed as a surrogate to cardiac biopsy. It should be systematically performed in case of hypereosinophilia. Early and appropriate treatment is crucial to avoid the evolution toward irreversible cardiac lesions. These treatments are symptomatic but should also be adapted to the underlying diseases.