scholarly journals Association Between Subclinical Left Ventricular Myocardial Systolic Dysfunction Detected by Strain and Strain‑Rate Imaging and Liver Steatosis and Fibrosis Detected by Elastography and Controlled Attenuation Parameter in Patients with Metabolic Syndrome

2020 ◽  
Vol Volume 13 ◽  
pp. 3749-3759
Author(s):  
Andrei Vitel ◽  
Ioan Sporea ◽  
Ruxandra Mare ◽  
Christian Banciu ◽  
Diana-Aurora Bordejevic ◽  
...  
Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Takeshi Takamura ◽  
Kaoru Dohi ◽  
Katsuya Onishi ◽  
Naoki Fujimoto ◽  
Tairo Kurita ◽  
...  

Background: It has not been fully investigated whether impairments of left ventricular (LV) relaxation precede or couple to systolic dysfunction during the disease process ranged from latent myocardial dysfunction to failing myocardium in patients with either left ventricular hypertrophy (LVH) or dilated cardiomyopathy (DCM). Methods: To quantify global LV longitudinal (L) and circumferential (C) function, fifty-seven patients with hypertensive LVH (ejection fraction 58 ± 10 %), twenty-one patients with DCM (ejection fraction 33 ± 13 %), and fifty-seven normal controls (Controls: ejection fraction 65 ± 6 %) had echo-study with speckle-tracking strain and strain rate imaging (Vivid 7 and EchoPAC, GE Electronic) from apical 4-, 2-, long axis, and mid-ventricular short axis views. Global peak systolic strain (PSS) and peak relaxation rate (PRR) were used as indices of global LV contraction and relaxation, respectively. Results: PRR was significantly correlated to PSS from both (L) and (C) in LVH, DCM, and Controls with linear regressions, respectively (DCM (L); r = 0.81 * , (C); r = 0.81 * , LVH (L); r = 0.78 * , (C); r = 0.74 * , Control (L); r = 0.64 * , (C); r = 0.70 * , * p < 0.05). Furthermore, correlations between PSS and PRR were best fit with exponential regression from (L) and linear regression from (C) all through the subjects ((L); y = 0.18e -0.099x , r = 0.84 * , (C); y = −0.070x - 0.017, r = 0.79 * , * p < 0.05). Conclusion: Speckle-tracking strain and strain rate imaging exhibited the strong coupling of LV relaxation to systolic contraction ranged from the normal to failing myocardium regardless of their initiating disease process.


2019 ◽  
Vol 8 (11) ◽  
pp. 1775 ◽  
Author(s):  
Yu-Jiun Lin ◽  
Chang-Hsien Lin ◽  
Sen-Te Wang ◽  
Shiyng-Yu Lin ◽  
Shy-Shin Chang

Background: There is a medical need for an easy, fast, and non-invasive method for metabolic syndrome (MetS) screening. This study aimed to assess the ability of FibroScan to detect MetS, in participants who underwent a self-paid health examination. Methods: A retrospective cohort study was conducted on all adults who underwent a self-paid health examination comprising of an abdominal transient elastography inspection using FibroScan 502 Touch from March 2015 to February 2019. FibroScan can assess the level of liver fibrosis by using a liver stiffness score, and the level of liver steatosis by using the controlled attenuation parameter (CAP) score. The logistic regression analysis and receiver operating characteristic curve were applied to select significant predictors and assess their predictability. A final model that included all significant predictors that are found by univariate analysis, and a convenient model that excluded all invasive parameters were created. Results: Of 1983 participants, 13.6% had a physical status that fulfilled MetS criteria. The results showed that the CAP score solely could achieve an area under the curve (AUC) of 0.79 (0.76–0.82) in predicting MetS, and the AUC can be improved to 0.88 (0.85–0.90) in the final model. An AUC of 0.85 (0.83–0.88) in predicting MetS was obtained in the convenient model, which includes only 4 parameters (CAP score, gender, age, and BMI). A panel of predictability indices (the ranges of sensitivity, specificity, positive and negative likelihood ratio: 0.78–0.89, 0.66–0.82, 2.64–4.47, and 0.17–0.26) concerning gender- and BMI-specific CAP cut-off values (range: 191.65–564.95) were presented for practical reference. Conclusions: Two prediction systems were proposed for identifying individuals with a physical status that fulfilled the MetS criteria, and a panel of predictability indices was presented for practical reference. Both systems had moderate predictive performance. The findings suggested that FibroScan evaluation is appropriate as a first-line MetS screening; however, the variation in prediction performance of such systems among groups with varying metabolic derangements warrants further studies in the future.


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