Background: Background : Patients with non-rheumatic atrial fibrillation have high risk of thromboembolism especially ischemic stroke usually arising from left atrial appendage .Transoesophageal echocardiography provides useful information for risk stratification in these patients as it detects thrombus in the left atrial or left atrial appendage. Objective : This study was conducted at Al-Kadhimiya Teaching Hospital to assess the prevalence of left atrial chamber thrombi in patients with chronic non-rheumatic atrial fibrillation using transoesophageal echocardiography and its clinical significance as well as to verify the superiority of transoesophageal over transthoracic echocardiography in the detection of these abnormalities. Type of the study: Cross sectional study.Patients and Methods : Forty (40) consecutive patients (11 female and 29 male), at a mean age of 46 ± 9 years (range 28–60) with chronic non-rheumatic Atrial fibrillation were enrolled to this prospective study between March 2006 and December 2006. Tansthoracic and transesophageal two dimensional , M- mode , Doppler, and color- flow echocardiography were obtained with a kretz diagnostic ultrasound system. Results : The prevalence of Left atrium thrombus was 12.5%, 5 patients from the total number which was 40 patients. All of them seen bytransoesophagealechocardiography and non are detected byTansthoracic echocardiography . All the left atrial thrombi were confined to the left atrial appendage (100%). Left atrial spontaneous echo contrast was detected in 10 patients 25% by transoesophageal echocardiography, but was not observed in patient bytransthoracic echocardiography. All the 5 thrombi were found in left atria were significantly associated with spontaneous echo contrast 100% (P-value <0.001), reduced left ventricle ejection fraction (p-value <0.05) , large left atrium diameter ( p-value <0.05) and low LAAV <20 cm/s (p-value <0.001) compared to those without thrombus . Conclusions : The study showed that the prevalence of left atrial thrombus and appendage is not uncommon in patients with non-rheumatic atrial fibrillation and is exclusively seen in patients with left atrial SEC. Low Left ventricle ejection fraction , large Left atrium diameter , and low Left atrial appendages velocity are significantly associated with subsequent thrombus formation , and is more sensitive in the detection of these abnormalities compared with transthoracic echocardiography
(10)
(7)
(1)
(3)
(3)
Adsorption is one of the most important technologies for the treatment of polluted water from dyes. Theaim of this study is to use a low-cost adsorbent for this purpose. A novel and economical adsorbent was used to remove methyl violet dye (MV) from aqueous solutions. This adsorbent was prepared from bean peel, which is an agricultural waste. Batch adsorption experiments were conducted to study the ability of the bean peel adsorbent (BPA) to remove the methyl violet (MV) dye. The effects of different variables, such as weight of the adsorbent, pH of the MV solution, initial concentration of MV, contact time and temperature, on the adsorption behaviour were studied. It was found experimentally that the time required to achieve equilibrium
... Show More
Several industrial wastewater streams may contain heavy metal ions, which must be effectively removal
before the discharge or reuse of treated waters could take place. In this paper, the removal of copper( II)
by foam flotation from dilute aqueous solutions was investigated at laboratory scale. The effects of
various parameters such as pH, collector and frother concentrations, initial copper concentration, air flow
rate, hole diameter of the gas distributor, and NaCl addition were tested in a bubble column of 6 cm inside
diameter and 120 cm height. Sodium dodecylsulfate (SDS) and Hexadecyl trimethyl ammonium bromide
(HTAB) were used as anionic and cationic surfactant, respectively. Ethanol was used as frothers and the
(4)
(1)
(2)
(48)
(44)
In this paper, we will provide a proposed method to estimate missing values for the Explanatory variables for Non-Parametric Multiple Regression Model and compare it with the Imputation Arithmetic mean Method, The basis of the idea of this method was based on how to employ the causal relationship between the variables in finding an efficient estimate of the missing value, we rely on the use of the Kernel estimate by Nadaraya – Watson Estimator , and on Least Squared Cross Validation (LSCV) to estimate the Bandwidth, and we use the simulation study to compare between the two methods.