Background Current understanding of metabolic heart disease consists of a myriad of different pathophysiological mechanisms. Epicardial adipose tissue (EAT) is increasingly recognized as metabolically active and associated with adverse cardiovascular outcomes. The present study aimed to investigate the effect of increased EAT volume index on left ventricular (LV) myocardial fat content and burden of interstitial myocardial fibrosis and their subsequent effects on LV myocardial contractile function. Methods and Results A total of 40 volunteers (mean age, 35±10 years; 26 males) of varying body mass index (25.0±4.1 kg/m 2 ; range, 19.3–36.3 kg/m 2 ) and without diabetes mellitus or hypertension were prospectively recruited. EAT volume index, LV myocardial fat content, and extracellular volume were quantified by magnetic resonance imaging. LV myocardial contractile function was quantified by speckle tracking echocardiography global longitudinal strain on the same day as magnetic resonance imaging examination. Mean total EAT volume index, LV myocardial fat content, and extracellular volume were 30.0±19.6 cm 3 /m 2 , 5.06%±1.18%, and 27.5%±0.5%, respectively. On multivariable analyses, increased EAT volume index and insulin resistance were independently associated with both increased LV myocardial fat content content and higher burden of interstitial myocardial fibrosis. Furthermore, increased EAT volume index was independently associated with LV global longitudinal strain. Conclusions Increased EAT volume index and insulin resistance were independently associated with increased myocardial fat accumulation and interstitial myocardial fibrosis. Increased EAT volume index was associated with detrimental effects on myocardial contractile function as evidenced by a reduction in LV global longitudinal strain.
The clinical utility of EEG in cases of NMDA encephalitis is broad with many findings indicating not just epileptiform activity but also encephalopathy and potentially providing insights into pathophysiologic mechanisms of disease. We aimed to determine the frequency of different abnormalities described on EEG and their association with outcome in patients affected by NMDARE through a systematic review of all cases published. Method: A systematic literature review of PubMed and Embase of all published cases of anti-NMDA receptor encephalitis with EEG results, was performed from inception to January 2018. Results: A total of 446 cases of anti-NMDA receptor encephalitis with reported EEG findings were identified. 373 EEGs were abnormal, and this strongly correlated with ICU admission and time to recovery (p = 0.014 and 0.04 respectively). ICU admission and recovery were also correlated with delta range abnormalities including extreme delta brush (p = 0.007 and 0.03). Electrographic seizures correlated strongly with clinical seizures (p < 0.0001), however only 39 cases had EEG seizures captured, while there were 294 cases with clinical seizures. Conclusions: EEG is useful in the clinical management and prognostication of cases on NMDA encephalitis. This is particularly true of certain findings which portend a higher likelihood of ICU admission or poorer outcome and this may assist in the decision to pursue more aggressive treatment options.
IMPORTANCEThe literature on neural autoantibody positivity in epilepsy has expanded over the last decade, with an increased interest among clinicians in identifying potentially treatable causes of otherwise refractory seizures.OBSERVATIONS Prior studies have reported a wide range of neural autoantibody positivity rates among various epilepsy populations, with the highest frequency reported in individuals with focal epilepsy of unknown cause and new-onset seizures. The antibodies in some cases are of uncertain significance, and their presence can cause conundrums regarding therapy. CONCLUSIONS AND RELEVANCEThere is likely some role for neural autoantibody assessment in patients with unexplained epilepsy who lack clear evidence of autoimmune encephalitis, but the clinical implications of such testing remain unclear owing to limitations in previous published studies. A framework for study design to bridge the current gaps in knowledge on autoimmune-associated epilepsy is proposed.
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