Measurement of hepatic venous pressure gradient (HVPG) is a standard method for the assessment of portal pressure and correlates with the occurrence of its complications. Liver stiffness measurement (LSM) has been proposed as a noninvasive technique for the prediction of the complications of cirrhosis. In this study, we evaluated the ability of LSM to predict severe portal hypertension compared with that of HVPG in 61 consecutive patients with HCV-related chronic liver disease. A strong relationship between LSM and HVPG measurements was found in the overall population (r ؍ 0.81, P < 0.0001). However, although the correlation was excellent for HVPG values less than 10 or 12 mm Hg (r ؍ 0.81, P ؍ 0.0003 and r ؍ 0.91, P < 0.0001, respectively), linear regression analysis was not optimal for HVPG values >10 mm Hg (r 2 ؍ 0.35, P < 0.0001) or >12 mm Hg (r 2 ؍ 0.17, P ؍ 0.02). The AUROC for the prediction of HVPG >10 and >12 mm Hg were 0.99 and 0.92, respectively and at LSM cutoff values of 13.6 kPa and 17.6 kPa, sensitivity was 97% and 94%, respectively. In patients with cirrhosis, LSM positively correlated with the presence of esophageal varices (P ؍ 0.002), although no correlation between LSM and esophageal varices size was detected. The area under the ROC for the prediction of EV was 0.76 and at a LSM cutoff value of 17.6 kPa sensitivity was 90%. Conclusion: LSM represents a non-invasive tool for the identification of chronic liver disease patients with clinically significant or severe portal hypertension and could be employed for screening patients to be subjected to standard investigations including upper GI endoscopy and hemodynamic studies.
In distinction to prior perceptions, LV mass index was normal in about 20% of patients with definite HCM phenotype. Therefore, increased LV mass is not a requirement for establishing the clinical diagnosis of HCM. The LV mass correlated weakly with maximal wall thickness, and proved more sensitive in predicting outcome.
Hypertrophic cardiomyopathy (HCM) is the most common genetic heart disease, characterized by complex pathophysiology, heterogeneous morphology, and variable clinical manifestations over time. Besides cardiac hypertrophy, the HCM phenotype is characterized by a host of manifestations, including mitral valve and subvalvar abnormalities, subaortic and mid-ventricular left ventricular (LV) obstruction, microvascular dysfunction, myocardial fibrosis, disarray, atrial remodeling, myocardial bridging of epicardial coronary arteries, LV apical aneurysms, and autonomic nervous system abnormalities. Such heterogeneous phenotype still lacks a comprehensive explanation, which cannot be accounted solely by genetic heterogeneity, despite the large number of genes and mutations involved. It is likely that pre-natal and acquired features deriving from the primary genetic defect interact with the environment to produce the final result evident in each patient. Based on novel insights provided by cardiac developmental biology, a common lineage ancestry of several HCM manifestations might be traced back to the pluripotent epicardium-derived cells, which early during heart development differentiate into interstitial fibroblasts, coronary smooth muscle cells, and atrio-ventricular endocardial cushions as mesenchymal cells. To date, the different faces of HCM have not been sufficiently liked or explained. We here attempt to address these issues by describing the various components of the disease, their origin, interaction, and clinical significance.
In prospective, non-randomized study of patients with cirrhosis, we found under-dilation of PTFE-SGs during TIPS placement to be feasible, associated with lower rates of PSE, and effective.
To clarify the spatial relationship between coronary microvascular dysfunction and myocardial fibrosis in hypertrophic cardiomyopathy (HCM), we compared the measurement of hyperemic myocardial blood flow (hMBF) by PET with the extent of delayed contrast enhancement (DCE) detected by MRI. Methods: In 34 patients with HCM, PET was performed using 13 N-labeled ammonia during hyperemia induced by intravenous dipyridamole. DCE and systolic thickening were assessed by MRI. Left ventricular myocardial segments were classified as with DCE, either transmural (DCE-T) or nontransmural (DCE-NT), and without DCE, either contiguous to DCE segments (NoDCE-C) or remote from them (NoDCE-R). Results: In the group with DCE, hMBF was significantly lower than in the group without DCE (1.81 6 0.94 vs. 2.13 6 1.11 mL/min/g; P , 0.001). DCE-T segments had lower hMBF than did DCE-NT segments (1.43 6 0.52 vs. 1.91 6 1 mL/min/g, P , 0.001). Similarly, NoDCE-C segments had lower hMBF than did NoDCE-R (1.98 6 1.10 vs. 2.29 6 1.10 mL/min/g, P , 0.01) and had no significant difference from DCE-NT segments. Severe coronary microvascular dysfunction (hMBF in the lowest tertile of all segments) was more prevalent among NoDCE-C than NoDCE-R segments (33% vs. 24%, P , 0.05). Systolic thickening was inversely correlated with percentage transmurality of DCE (Spearman r 5 20.37, P , 0.0001) and directly correlated with hMBF (Spearman r 5 0.20, P , 0.0001). Conclusion: In myocardial segments exhibiting DCE, hMBF is reduced. DCE extent is inversely correlated and hMBF directly correlated with systolic thickening. In segments without DCE but contiguous to DCE areas, hMBF is significantly lower than in those remote from DCE and is similar to the value obtained in nontransmural DCE segments. These results suggest that increasing degrees of coronary microvascular dysfunction might play a causative role for myocardial fibrosis in HCM.
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