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AGE AND GENDER IMPACT ON GLYCAEMIC CONTROL, RENAL FUNCTION AND OXIDATIVE STRESS PARAMETERS IN IRAQI PATIENTS TYPE 2 DIABETES MELLITUS
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Type 2 daibetes mellitus (T2DM) is a global concern boosted by both population growth and ageing, the majority of affected people are aged between (40- 59 year). The objective of this research was to estimate the impact of age and gender on glycaemic control parameters: Fasting blood glucose (FBC), glycated hemoglobin (HbA1C), insulin, insulin resistance (IR) and insulin sensitivity (IS), renal function parameters: urea, creatinine and oxidative stress parameters: total antioxidant capacity (TAC) and reactive oxygen species (ROS). Eighty-one random samples of T2DM patients (35 men and 46 women) were included in this study, their average age was 52.75±9.63 year. Current study found that FBG, HbA1C and IR were highly significant (P<0.01) increased by increasing age. The lowest level of FBG was in the age group 30-39 years, which was a high significant (P<0.01) lower than other age groups 40-49, 50-59 and ³ 60 years. The highest level of HbA1C was in advanced age group ³ 60years, which was significantly (P<0.01) highest than other groups 30-39, 40-49 and 50-59 years. The highest level of IR was in the older age group ³ 60 years, which was significantly (P<0.01) highest than other age groups 30-39, 40-49 and 50-59 years. Insulin hormone level showed no significant (P>0.05) differences between age groups. Insulin sensitivity decreased in older age group ³ 60years compared with the other age groups with a highly significant differences. The results shows a highly significant (P<0.01) increasing in levels of urea and creatinine with increasing age. The lowest level of urea was found in 30- 39 and 40-49 year compared with other age groups, highest levels of creatinine were in 50-59 and ³ 60 age groups, which were significantly (P<0.01) highest than 30-39, 40-49 years age groups. In present study, the levels of TAC decreased by age. Third age group 50-59 showed the lowest level of TAC, which was significantly (P<0.05) lower than other age groups 30-39, 40-49 and ³ 60 years. Statistical analysis showed that the level of ROS was significantly (P<0.05) increased in advanced age groups 50- 59 and ³ 60years compared with other age groups 30-39 and 40-49 years. Statistical analysis revealed a significant (P<0.05) increased in levels of FBG in women compared with men, while insignificant differences (P>0.05) found in the HbA1c and insulin levels. A highly significant (P<0.01) increased in IR value was also found in women compared with men. Also, statistical analysis show that IS value was significantly decrease in women compared with men. The statistical analysis showed a nonsignificant differences for increasing levels of urea in women compared to men, while current finding showed a highly significant (P<0.01) increase in creatinine levels in men as compared with women. The present study showed insignificant increasing in the mean of TAC in men compared to women. While, the mean of ROS was significantly (P<0.05) increase in women compared to men.

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Publication Date
Mon Jan 29 2024
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
Role of Ultrasound in Antenatal Detection of Echogenic Amniotic Fluid and Pregnancy Outcome
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Background: Ultrasound is a valuable tool for evaluating fetal problems throughout pregnancy. Amniotic fluid anomalies have been associated with unfavorable maternal, fetal, and obstetrical outcomes. Objective: To determine the effect of echogenic amniotic fluid during term pregnancy on the presence of meconium stain liquor and pregnancy outcome. Methods: A cross-sectional study was conducted on 1080 term pregnant women who visited Al-Elwiya Maternity Teaching Hospital from May 1st, 2021, to May 1st, 2023. Ultrasound was used to analyze echogenic amniotic fluid and turbid liquor. The liquor state was tested either after an artificial membrane rupture in the vaginal delivery trial or during a cesarean section. Results: Echogenic amni

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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Pharmaceutical Sciences( P-issn 1683 - 3597 E-issn 2521 - 3512)
Isolation, Identification, and Quantification of Two Compounds from Cassia glauca Cultivated in Iraq
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The Cassia glauca Lam. is the tree that belongs to the Fabaceae family and is native to India has many uses in indigenous systems of medicine, folk medicine, and traditional Brazilian medicine. Has many pharmacological activities such as anti-diabetic, antibacterial, antifungal, antioxidant, anti-hemolytic, anticancer, cardio-protective, and Hepato-protection.  The aim of study is to Isolation, identification, and quantification of some compounds from aerial parts of Cassia glauca since no phytochemical investigation had previously been done in Iraq for this plant. The aerial parts were defatted in n. hexane for 48 hours. The defatted materials were extracted in 85% ethanol using the hot method (soxhlet), then the extract was fra

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Publication Date
Sun Aug 01 2021
Journal Name
Biochemical And Cellular Archives
MORPHOLOGICAL AND HISTOLOGICAL STUDY OF LIVER IN BARN OWL, TYTO ALBA (SCOPOLI, 1769)
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Publication Date
Tue Dec 20 2022
Journal Name
2022 4th International Conference On Current Research In Engineering And Science Applications (iccresa)
Noise Detection and Removing in Heart Sound Signals via Nuclear Norm Minimization Problems
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Heart sound is an electric signal affected by some factors during the signal's recording process, which adds unwanted information to the signal. Recently, many studies have been interested in noise removal and signal recovery problems. The first step in signal processing is noise removal; many filters are used and proposed for treating this problem. Here, the Hankel matrix is implemented from a given signal and tries to clean the signal by overcoming unwanted information from the Hankel matrix. The first step is detecting unwanted information by defining a binary operator. This operator is defined under some threshold. The unwanted information replaces by zero, and the wanted information keeping in the estimated matrix. The resulting matrix

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Publication Date
Mon Apr 11 2011
Journal Name
Icgst
Employing Neural Network and Naive Bayesian Classifier in Mining Data for Car Evaluation
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In data mining, classification is a form of data analysis that can be used to extract models describing important data classes. Two of the well known algorithms used in data mining classification are Backpropagation Neural Network (BNN) and Naïve Bayesian (NB). This paper investigates the performance of these two classification methods using the Car Evaluation dataset. Two models were built for both algorithms and the results were compared. Our experimental results indicated that the BNN classifier yield higher accuracy as compared to the NB classifier but it is less efficient because it is time-consuming and difficult to analyze due to its black-box implementation.

Publication Date
Wed Aug 15 2018
Journal Name
Al-khwarizmi Engineering Journal
Study the Dissociation Enthalpies for R134a Clathrate Hydrate in Binary and Ternary Systems
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In the present work the clathrate hydrate dissociation enthalpies of refrigerant R134a+ water system, and R134a + water + salt system were determined. The heat of dissociation of three types of aqueous salts solutions of NaCl, KBr and NaF at three concentrations (0.09, 0.17and 0.26) mol·kg−1 for each salt type, were enthalpy measured. The Clapeyron equation was used tocalculate heat of dissociation of experimental data for binary and ternary system.In order to find the effect of compressibility factor on heat dissociation enthalpy, the study was conducted by using equation of state proposed by Peng and Robinson Stryjek-Vera (PRSV). The obtained results of dissociation enthalpy for binary system were (143.8) kJ.mol-1

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Publication Date
Mon Jan 01 2018
Journal Name
Aip Conference Proceedings
Indoor 222Rn measurement and hazards indices in houses of Al-Najaf province – Iraq
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Publication Date
Sat Dec 15 2018
Journal Name
Journal Of The College Of Education For Women
Camille Ben Ziad and his Place in the Arab-Islamic Heritage (Historical Study)
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In a quick reading of the character of Camille Ben Ziad al-Nekha al-Kufi al-Taabi, one of the most sincere companions of Imam Ali (peace be upon him), he enjoyed great status and status because he was one of the people of his people who lived alongside Imam Ali (peace be upon him) since his tribe migrated from Yemen to Kufa To this end, he became loyal during the reign of Imam Ali (peace be upon him), who is also a member of the delegation coming from Kufa to protest against the actions of the Wali of Kufa during the reign of Caliph Uthman ibn Affan. After the death of Caliph Uthman bin Affan, (Peace and blessings of Allaah be upon him) (Duaa kamil), one of the most famous and important supplications in Islamic history, and each one of u

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Publication Date
Tue Oct 22 2024
Journal Name
Hemoglobin
Prevalence and Molecular Characterization of β-Thalassemia in Kirkuk Province of Northern Iraq
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Publication Date
Wed Dec 08 2021
Journal Name
J. Inf. Hiding Multim. Signal Process.
Predication of Most Significant Features in Medical Image by Utilized CNN and Heatmap.
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The growth of developments in machine learning, the image processing methods along with availability of the medical imaging data are taking a big increase in the utilization of machine learning strategies in the medical area. The utilization of neural networks, mainly, in recent days, the convolutional neural networks (CNN), have powerful descriptors for computer added diagnosis systems. Even so, there are several issues when work with medical images in which many of medical images possess a low-quality noise-to-signal (NSR) ratio compared to scenes obtained with a digital camera, that generally qualified a confusingly low spatial resolution and tends to make the contrast between different tissues of body are very low and it difficult to co

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