Back ground: Chronic total occlusion (CTO) of coronary arteries remains one of the most challenging lesion subsets in interventional cardiology even with the development of medical devices and operator expertise. Successful revascularization results in improved in angina status ,increased exercise capacity and reduces the need for lat CABG surgery .
Objectives: This study sought to determine the overall procedural success rate of percutaneous coronary intervention (PCI) for CTOs and to examine the relation between variables such as; patients’ characteristics, risk factors, lesion characteristics and procedural success rate.
Methods: In this study ,clinical and coronary angiography data of (80) patients with CTO who underwent PCI between May 2009 and May 2010 in Ibn Al-Baitar Hospital for cardiac surgery and Al-Nassryia cardiac center were prospectively analyzed . The clinical data were collected using the patients files and angiographic data by review of their films.
Results: There were (80) Patients with CTO ,They included 62 men (77.5%) and 18 women (22.5%) ,Age range 36-76 year with mean age 55±8.75 and male to female ratio was 3:1 .The procedural success rate of PCI was 66 patients (82.5%). All 23patients(100%) with lesionlength less than 15 mm had successful PCI compared to 43 out of 57 patients in whom the lesion was more than 15mm (75.4%) p value < 0.01. The procedure was successful in 54 patients out of 60 with tapered stump(90%) compared to 12 out of 20 patients with abrupt stump(60%) p value <0.005.In CTO lesion with angulations less than 45 degree ,the procedure was successful in 27 patients out of 28 (96.4%)compared to 39 out of 52 patients in whom the angulations was more than 45 degree 52(75%) p value<0.01. The most common cause of procedural un success was inability of guide wire crossing through the totally occluded segments which represented 11(78.5%), Inability to cross the lesion with a balloon in 2 patients(14.2%) and inability to dilate balloon in one patient (7.1%) P<0.001.
Conclusion: Percutaneous coronary intervention of chronic total occlusion is an effective therapeutic procedure with high success rate 82.5%. The length of chronic total occlusion ,degree of angulations and stump morphology are strong predictors of success procedure.
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Prosthetic hands are compensatory devices for the hand amputees as a result of injury, various accidents or birth deformities, types of prosthetic hand vary depending on the mechanism they operate and how they perform. There are common types in use that are characterized by their complex mechanisms, which are difficult for the amputee to use or exclude use because of their high cost, therefore the aim of this research is to design an artificial hand that is suitable in terms of simplicity of use and low cost and similar to a natural hand with regard to dimensions and shape that operated in the mechanism of links. This research involves Stress and strain analysis of the prosthetic hand and its fingers that modelled from (Petg CR)
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Electronic Health Record (EHR) systems are used as an efficient and effective method of exchanging patients’ health information with doctors and other key stakeholders in the health sector to obtain improved patient treatment decisions and diagnoses. As a result, questions regarding the security of sensitive user data are highlighted. To encourage people to move their sensitive health records to cloud networks, a secure authentication and access control mechanism that protects users’ data should be established. Furthermore, authentication and access control schemes are essential in the protection of health data, as numerous responsibilities exist to ensure security and privacy in a network. So, the main goal of our s
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Traffic classification is referred to as the task of categorizing traffic flows into application-aware classes such as chats, streaming, VoIP, etc. Most systems of network traffic identification are based on features. These features may be static signatures, port numbers, statistical characteristics, and so on. Current methods of data flow classification are effective, they still lack new inventive approaches to meet the needs of vital points such as real-time traffic classification, low power consumption, ), Central Processing Unit (CPU) utilization, etc. Our novel Fast Deep Packet Header Inspection (FDPHI) traffic classification proposal employs 1 Dimension Convolution Neural Network (1D-CNN) to automatically learn more representational c
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The research aimed: 1. Definition of family climate for the university students. 2. Definition of statistical significance of differences in family climate variable depending on the sex (males - females) and specialization (Scientific - humanity). 3. Definition of academic adjustment for university students. 4. Definition of correlation between climate and academic adjustment. The research sample formed of (300) male and female students by (150) male of scientific and humanitarian specialization and (150) female of scientific and humanitarian specialization randomly selected from the research community. To achieve the objectives of the research the researcher prepared a tool to measure family climate. And adopted the measure (Azzam 2010)
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