Background: Diabetes mellitus has been suggested
to be the most common metabolic disorder
associated with magnesium deficiency, and because
available data suggest that adverse outcomes are
associated with hypomagnesemia, it is prudent that
routine surveillance for hypomagnesemia be done
and the condition be treated whenever possible.
Aim of the study:To explore the serum Mg
concentrations of diabetic patients and healthy
controls in our locality.
Mehtods: One hundred and forty four diabetic
patients (22 with type I and 122 with type II diabetes
mellitus) recruited from the outpatient diabetes clinic
at the Specialized Center For Endocrine DiseasesBaghdad (62 patients), National Diabetes Center-Al
Mustansiria University (20 patients), and from
private endocrinologic practice clinics in Baghdad
(62 patients), during the period from 1st October
2005 to 30th April 2006. Ninety non-diabetic healthy
controls matched for age and sex were participated in
this study. Exclusion criteria for both groups
included diarrhea and loop diuretics. None were
taking Mg supplements. Level of Mg and Albumin
were determined spectrophotometerically in the
same serum samples.
Results: Mean serum Mg concentrations of the
diabetics was significantly lower than in controls
(p<0.001). Serum albumin was not a significant
predictor of serum Mg neither among diabetic
patients (r = 0.005) nor control subjects (r = 0.139).
In 88.9% of the diabetic patients and 11.1% of the
control subjects serum Mg concentrations were
below the normal reference range of 0.70 mmol/L.
The prevalence is increased when hypomagnesemia
is defined by a reference limit of 0.75 mmol/L
(98.6% and 28.9 % for diabetics and controls,
respectively), a further higher prevalence among
controls (91.1 %) was noted when 0.80 mmol/L is
adopted as the lower normal limit. All diabetics
(100%) and controls (100%) were identified as
hypomagnesemic with a lower reference limit of
0.90 mmol/L.
Conclusion: The tremendous hot climate of ours,
can be suggested as an influential cause for increased
Mg losses, and may provide a coherent explanation
for the exceedingly high prevalence of
hypomagnesemia observed in diabetic and control
subjects participated in this study. Which therefore
may suggest an inevitable requirement for
magnesium supplementation to avert
hypomagnesemia, not only among diabetics, but as
well for controls, particularly through the hot
summer episode
In this paper, the construction of Hermite wavelets functions and their operational matrix of integration is presented. The Hermite wavelets method is applied to solve nth order Volterra integro diferential equations (VIDE) by expanding the unknown functions, as series in terms of Hermite wavelets with unknown coefficients. Finally, two examples are given
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... Show MoreLet A be a unital algebra, a Banach algebra module M is strongly fully stable Banach A-module relative to ideal K of A, if for every submodule N of M and for each multiplier θ : N → M such that θ(N) ⊆ N ∩ KM. In this paper, we adopt the concept of strongly fully stable Banach Algebra modules relative to an ideal which generalizes that of fully stable Banach Algebra modules and we study the properties and characterizations of strongly fully stable Banach A-module relative to ideal K of A.
Objective(s): To evaluate nurses’ Practice toward neonatal endotracheal suctioning procedure, and to determine the effectiveness of the interventional program on nurses’ practices, as well as to find out the relationship between nurses’ practice and their demographic characteristics.
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The world is currently facing a medical crisis. The epidemic has affected millions of people around the world since its appearance. This situation needs an urgent solution. Most countries have used different solutions to stop the spread of the epidemic. The World Health Organization has imposed some rules that people should adhere. The rules are such, wearing masks, quarantining infected people and social distancing. Social distancing is one of the most important solutions that have given good results to confront the emerging virus. Several systems have been developed that use artificial intelligence and deep learning to track social distancing. In this study, a system based on deep learning has been proposed. The system includes monitor
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