Background : Coronary artery disease is theunderlying cause in approximately two thirds of
patients with systolic heart failure ;
Coronary artery angiogriphy may be useful to
define the presence ,
Anatomical characteristics ,and functional
significance of Coronary artery disease in
selected heart failure patients with or without signs
and aymptoms of Coronary artery disease.
Objectives: to verify the clinical usefulness of
coronary angiography (CA) in congestive heart
failure (CHF) patients with no history of ischemic
heart disease and to identify predictive factors for
performing coronary angiography to patients with
congestive heart failure with no obvious ischemia.
Methods :this is a cross-sestional study conducted
Ibn al –Bitar center for cardiac surgery during a
period between November 2009 and November
2010 ;all included patients have symptomatic LV
dyfunctional with NYHA functional class II or
more with no clinical evidence of IHD .History,
physical examination had been performed for each
patient , in addition ti blood tests ,ECG ,CXR,
echocardiography and Coronary angiogriphy
Results :Among 112 patients with symptomatic
LV dysfunction of unknown cause enrolled in this
study male :female ratio 3:1 their age (17 -77 years
)there were 14 patients (12.5%)with significant
Coronary artery disease , statistical analysis
between CADand non CAD group show :the CAD
were more common in male 11 patients (78% )
smokers(1)Were female , 25 patients (22.3%) were
diabetic , 25 diabetic (22.3%) were hypertensive
,50 diabetic (44.6%) were smokers . 4 diabetic3.5) with family history of dilatedhyperlipidemia and 3 diabetic (2.6%) ) with
family history ischemic heart disease (IHD in
close relative at age <50 years in men and <55
years in women ) as demographic distribution of
patients in table 1 .coronary angiography show
that are 14 patients (12.5%) with significant
coronary artery disease (CAD) and 98 patients
(87.5%) with significant coronary artery disease
. as shown in figure 1 . eleven patients (78%) of
patients (22%) were female statistical analysis
shows that the male is more predominant in
CAD groups as shown in table 2 . twelve
patients (85.7%) of patients with CAD were
smokers while only 38 patients (38.7%) were
smokers in non CAD group . statistical analysis
shows there is significant difference between
the two groups ( p value < 0.01 ) as shown in
table 3 .nine patients (64.2%) of patients with
CAD were diabetics while 16 patients
(16.3%)were diabetics in non CAD group ,
statistical analysis shows there is significant
difference between the two groups (p value <
0.005) as shown in table (3) .there is no
statistical between the mean of left ventricular
ejection fraction of CAD group ( 37 ±10 %) and
that of non CAD (36±9 % ) , p value > 0.5 as
shown in table 6 . figure 2 revealed that LAD
lesion was most common coronary artery lesion
which represent 12 (85%) followed by in order
of frequency LCX 42 % ,RCA 28% and LMS
7% ; in addition to that 57% with single vessel
disease ,14.2% with 2 vessel disease and
28.4%with r vessel disease (2)Leads , ST
depression ≥1 mm or deep T wave inversion
had been excluded
(
Abstract:
Objective: To self-evaluate the effect of SBAR (Situation, Background, Assessment, and Recommendation) educational program on nurse and midwives practices in maternal health report documentation accuracy.
Methods: A quasi- experimental design was carried with the application of pre- post test for nurses and midwives’ knowledge and practices regarding SBAR communication tool. The study was held in Al-Elwia maternity teaching hospital, Al –Karckh maternity hospital and Al-Yarmouk teaching Hospital. purposive sample as it was convenient with inclusion criteria consisted of (84) nurse and midwives. The questionnaire comprised of demographic data, nurses- midwives practices of SBAR using (5) level Likert scale for assessme
Karbala province regarded one part significant zones in Iraq and considered an economic resource of vegetation such as trees of fruits, sieve and other vegetation. This research aimed to utilize Normalized Difference Vegetation index (NDVI) and Subtracted (NDVI) for investigating the current vegetation cover at last four decay. The Normalized Difference Vegetation Index (NDVI) is the most extensively used satellite index of vegetation health and density. The primary goals of this research are gather a gathering of studied area (Karbala province) satellite images in sequence time for a similar region, these image captured by Landsat (TM 1985, TM 1995, ETM+ 2005 and Landsat 8 OLI (Operational Land Imager) 2015. Preprocessing such gap filli
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Global date palm production is steadily increasing and adopting technologies such as unmanned aerial vehicles (UAVs) and deep learning can reduce costs, save time, and improve productivity. To address this issue, the authors have proposed an innovative approach that uses UAVs for high-resolution aerial imaging. These images, collected by the Department of Computer Engineering at Al-Salam University in Baghdad and the Institute of Machine Design, Faculty of Mechanical Engineering, Poznan University of Technology, support improved orchard management, palm counting, and yield estimation. Precise spraying and pollination are also facilitated and accelerated, reducing overall cultivation costs. The proposed methodology involves processing captur
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That the main feature of the economics many countries in general is a tendency towards defining the role of the public sector in economic activity and the tendency towards encourage the private sector to investment in public projects especially in countries those tendency towards market economy actually.
That increased economic development proven failure in achieving more economic growth both individually in many countries especially developing countries socialist, by researchers this led one way or another to direction of corrective reforms in their economic was one of them in Transformation of public companies into Shareholding companies contributes to the public sector in resources and expertise
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Flexible molecular docking is a computational method of structure-based drug design to evaluate binding interactions between receptor and ligand and identify the ligand conformation within the receptor pocket. Currently, various molecular docking programs are extensively applied; therefore, realizing accuracy and performance of the various docking programs could have a significant value. In this comparative study, the performance and accuracy of three widely used non-commercial docking software (AutoDock Vina, 1-Click Docking, and UCSF DOCK) was evaluated through investigations of the predicted binding affinity and binding conformation of the same set of small molecules (HIV-1 protease inhibitors) and a protein target HIV-1 protease enzy
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The ground state proton, neutron, and matter density distributions and corresponding root-mean-square radii (rms) of the unstable neutron-rich
22C exotic nucleus are investigated by two-frequency shell model (TFSM) approach. The single-particle wave functions of harmonic-oscillator (HO)
potential are used with two oscillator parameters bcore and bhalo. According to this model, the core nucleons of 20C are assumed to move in the model
space of spsdpf. Shell model calculations are performed with (0+2)hw truncations using Warburton-Brown psd-shell (WBP) interaction. The outer (halo) two neutrons in 22C are assumed to move in HASP (H. Hasper) model space (2s1/2, 1d3/2, 2p3/2, and 1f7/2 orbits) using the HASP interaction. The halo st
We have presented the distribution of the exponentiated expanded power function (EEPF) with four parameters, where this distribution was created by the exponentiated expanded method created by the scientist Gupta to expand the exponential distribution by adding a new shape parameter to the cumulative function of the distribution, resulting in a new distribution, and this method is characterized by obtaining a distribution that belongs for the exponential family. We also obtained a function of survival rate and failure rate for this distribution, where some mathematical properties were derived, then we used the method of maximum likelihood (ML) and method least squares developed (LSD)
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