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
The nature and intensity of the association of myasthenia gravis (MG) with distinct human leukocyte antigen (HLA) haplotypes differ between ethnic populations, so this study determined the association of HLA class II antigens with myasthenia gravis (MG) in Iraq.The study included Iraqi patients diagnosed with MG and two control groups the first of 54 insulin dependent diabetes mellitus patients and the second of 237 subjects as a normal control group. The test used was microlymphocytotoxicity test.The work was done in the Teaching Laboratories/Medical City/Baghdad.Results: positive associations were observed (etiological risk factors) as follows: 1. HLA-DR locus showed one positively associated allele when compared to healthy control and th
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Methods: a prospective study is being conducted at the national center of hematology and hematology unit /Baghdad teaching hospital from July 2008 to July 2010.Twenty Patients with refractory/relapsed acute leukemia were treated with flud
This investigation was conducted to recognize the structure for (RHETI version 2.5 1999) by using exploratory and confirmatory factor analysis. Sample of (620) student of Al-Mustansrya University were administered the (RHETI).
The data of their responses was analyzed by using (PAF) and oblique rotating .
The findings explored (9) factors as one factor for each type and (184) items were loaded by the factors: (60) item for feeling center, (61) items for instinctive center and (63) items for thinking center.
Results of confirmatory factorial analysis supported a model designed by the researcher depended upon a theoretical views of Riso and Hudson
... Show MoreDiabetic retinopathy is an eye disease in diabetic patients due to damage to the small blood vessels in the retina due to high and low blood sugar levels. Accurate detection and classification of Diabetic Retinopathy is an important task in computer-aided diagnosis, especially when planning for diabetic retinopathy surgery. Therefore, this study aims to design an automated model based on deep learning, which helps ophthalmologists detect and classify diabetic retinopathy severity through fundus images. In this work, a deep convolutional neural network (CNN) with transfer learning and fine tunes has been proposed by using pre-trained networks known as Residual Network-50 (ResNet-50). The overall framework of the proposed
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The aim of this study was to assess status of CHADS2 and CHA2DS2-VASc scores in Iraqi atrial fibrillation patients and to report current status of stroke prevention in these patients with either warfarin or aspirin in relation to these scores.
This prospective cross-sectional study was carried out at Tikrit, Samarra, Sharqat, Baquba, and AL-Numaan hospitals from July 2017 to October 2017. CHADS2
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