Objective: To determine the effectiveness of hypothermia on renal functions for patients undergoing
coronary artery bypass graft CABG surgery.
Methodology: A purposive (non-probability) sample of (50) patients undergoing Isolated coronary artery
bypass graft surgery consecutively admitted to the surgical ward, and they were followed up in the
intraoperative, Intensive Care Unit (ICU) and in the postoperative (surgical ward). Post-operative renal function
test (glumeruler filteration rate (GFR) by using the Crockroft-Gault formula and serum creatinine level) was
determined first week post operative and post operative renal function was classified on the base of peak of
the serum creatinine level and decline of glomeruler filteration rate(GFR) as following : normal renal function
serum creatinine concentration and decline in(GFR) less than 25% from preoperative, moderate renal
dysfunction increase serum creatinine concentration and decline in(GFR) 25%-50% from preoperative, sever
renal dysfunction increase serum creatinine concentration and decline in(GFR) more than 50% from
preoperative test.
Results: results of this study show that (78%) from the sample develop post operative renal dysfunction and
the highly percentage of them are male (50%), advance age 60-70 (60%), smoking (47.0%), diabetes mellitus
DM (68%), cardiopulmonary bypass 180 and more (57.20%), New York Heart Association calcification NYHA
class III(47.5%) and patient without Intra Aortic Balloon Pump IABP(50,0%) . We conclude from the study that
highly percentage of patient undergoing isolated CABG may develop postoperative renal dysfunction even
when using hypothermic strategy as a protective measure and the patients with DM, male, advance age,
smoker, prolong time of CPB (more than 180 minutes), NYHA class III and patient without IABP are considered
as patient at high risk to develop postoperative renal dysfunction.
Recommendations: The researcher recommended that to find addition strategy rather than hypothermia
to protect renal function especially with the high risk patients during isolated CABG surgery.
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The prevalence of using the applications for the internet of things (IoT) in many human life fields such as economy, social life, and healthcare made IoT devices targets for many cyber-attacks. Besides, the resource limitation of IoT devices such as tiny battery power, small storage capacity, and low calculation speed made its security a big challenge for the researchers. Therefore, in this study, a new technique is proposed called intrusion detection system based on spike neural network and decision tree (IDS-SNNDT). In this method, the DT is used to select the optimal samples that will be hired as input to the SNN, while SNN utilized the non-leaky integrate neurons fire (NLIF) model in order to reduce latency and minimize devices
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