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3D left ventricular extracellular volume fraction by low-radiation dose cardiac CT: assessment of interstitial myocardial fibrosis.
Nacif, MS, Liu, Y, Yao, J, Liu, S, Sibley, CT, Summers, RM, Bluemke, DA
Journal of cardiovascular computed tomography. 2013;(1):51-7
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Abstract
BACKGROUND Myocardial fibrosis leads to impaired cardiac function and events. Extracellular volume fraction (ECV) assessed with an iodinated contrast agent and measured by cardiac CT may be a useful noninvasive marker of fibrosis. OBJECTIVE The purpose of this study was to develop and evaluate a 3-dimensional (3D) ECV calculation toolkit (ECVTK) for ECV determination by cardiac CT. METHODS Twenty-four subjects (10 systolic heart failure, age, 60 ± 17 years; 5 diastolic failure, age 56 ± 20 years; 9 matched healthy subjects, age 59 ± 7 years) were evaluated. Cardiac CT examinations were done on a 320-multidetector CT scanner before and after 130 mL of iopamidol (Isovue-370; Bracco Diagnostics, Plainsboro, NJ, USA) was administered. A calcium score type sequence was performed before and 7 minutes after contrast with single gantry rotation during 1 breath hold and single cardiac phase acquisition. ECV was calculated as (ΔHUmyocardium/ΔHUblood) × (1 - Hct) where Hct is the hematocrit, and ΔHU is the change in Hounsfield unit attenuation = HUafter iodine - HUbefore iodine. Cardiac magnetic resonance imaging was performed to assess myocardial structure and function. RESULTS Mean 3D ECV values were significantly higher in the subjects with systolic heart failure than in healthy subjects and subjects with diastolic heart failure (mean, 41% ± 6%, 33% ± 2%, and 35% ± 5%, respectively; P = 0.02). Interobserver and intraobserver agreements were excellent for myocardial, blood pool, and ECV (intraclass correlation coefficient, >0.90 for all). Higher 3D ECV by cardiac CT was associated with reduced systolic circumferential strain, greater end-diastolic and -systolic volumes, and lower ejection fraction (r = 0.70, r = 0.60, r = 0.73, and r = -0.68, respectively; all P < 0.001). CONCLUSION 3D ECV by cardiac CT can be performed with ECVTK. We demonstrated increased ECV in subjects with systolic heart failure compared with healthy subjects. Cardiac CT results also showed good correlation with important functional heart biomarkers, suggesting the potential for myocardial tissue characterization with the use of 3D ECV by cardiac CT. This trial is registered at www.ClinicalTrials.gov as NCT01160471.
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Left ventricular mass index and aortic arch calcification score are independent mortality predictors of maintenance hemodialysis patients.
Liu, S, Zhang, DL, Guo, W, Cui, WY, Liu, WH
Hemodialysis international. International Symposium on Home Hemodialysis. 2012;(4):504-11
Abstract
To analyze predictive factors for all-cause mortality, cardiovascular (CV) mortality, nonfatal CV events (CVE) in maintenance hemodialysis (MHD) patients, and to compare the effects of standard hemodialysis (HD) and online hemodiafiltration (HDF) on these factors and outcomes. A total of 333 MHD patients were prospectively followed up for 50 ± 15 months and all-cause death, CV death and CVE were registered. At the baseline, demographic, clinical, and laboratory data of the whole population were recorded. Then, patients were stratified into two groups according to the dialysis modalities, HD (n = 268) and HDF (n = 65). At the end of 6th month, clinical and laboratory data were recorded again. The predictive factors at baseline for all-cause mortality, CV mortality, and CVE were analyzed by Cox regression. The effects of HD and HDF on these factors at the 6th month and long-term outcomes were compared by t-test and Kaplan-Meier method, respectively. Age, gender, left ventricular mass index (LVMI), aortic arch calcification score (AoACS), hemoglobin (Hb) <10 g/dL, and ferritin >500 ng/mL maintained independent associations with all-cause mortality. C-reactive protein (CRP), LVMI, AoACS, and Hb <10 g/dL were associated with CV mortality. Prior cardiovascular disease (CVD), AoACS and LVMI were independent predictors of nonfatal CVE. Higher body mass index (BMI), body weight, total serum cholesterol, Hb concentration, and lower CRP level, LVMI, and AoACS were found in patients on HDF at the end of the 6th month. Improved outcomes with longer survival time for all-cause mortality, CV mortality, and CVE were found in HDF group. Age, gender, LVMI, AoACS, Hb, and ferritin were predictors of all-cause mortality in MHD patients. CRP, LVMI, AoACS, and Hb were associated with CV mortality. Prior CVD, AoACS, and LVMI were independent predictors of nonfatal CVE. HDF could improve BMI, body weight, total serum cholesterol, Hb, CRP, LVMI, AoACS, and long-term outcomes, including all-cause mortality, CV mortality, and CVE.