Background: Chronic myeloid leukemia is a cancer of the white blood cells characterized by the increased and unregulated growth of predominantly myeloid cells in the bone marrow. This study aimed to determine the effect of chronic myeloid leukemia on Dental caries and Oral health status including Gingivitis, Loss of attachment, Plaque index and Calculus index as well as evaluation of salivary flow rate and salivary interleukins-6 and tumor necrosis factor-?. Material and methods: Study group consisted of (75) subjects, (25) were newly diagnosed with chronic myeloid leukemia, (25) were taking medications (Glevic), and (25) were control subjects, all aged 45-55 years old. Collection of stimulated salivary samples was performed under standard conditions, then salivary flow rate and salivary cytokines estimation was done. Clinical examination and oral health assessment were carried out under the standardized conditions of oral health surveys of World Health organization. dental plaque was scored according to the criteria of plaque Index by Silness and Loe(1964), Dental calculus was scored following the criteria of calculus component of the periodontal Index (Ramfjord, 1959), assessment of gingival health done according to the criteria of gingival Index for Loe and Silness (1963) and loss of attachment done following the criteria of WHO (1997). Caries assessment was done according to the WHO modified Decayed-Missing-Filled Index (DMF) and examination was done with a plane mouth mirror and CPI probe. Results: DMFS index were higher in the newly diagnosed group followed by the control group and then the treated group but the LSD test showed that differences were statistically not significant between each two groups, Plaque index was higher in the newly diagnosed group, and the differences were statistically significant only between the newly and the control group (p<0.05), Calculus index was higher in the newly diagnosed group and the difference was statistically significant between the newly diagnosed group and the treated group. Gingival index was higher in the control group and the difference was statistically highly significant between the new and control groups (p<0.01) and also highly significant between control group and the treated group. Loss of attachment index was higher in the control group the LSD test show that the difference was statistically significant between the control group and each one of the other two groups. In regard to saliva, salivary flow rate was higher in the control group; the difference was significant between the control and the newly diagnosed group and highly significant between control and the treated group. Interleukin-6 level was higher in the newly diagnosed group then the treated group then the control group. LSD test show that the difference was statistically significant between the new and the treated group (p<0.05) and it was highly significant between the new and the control group (p<0.01) but it was not significant between the treated and control group. TNF-? level was higher in newly diagnosed group followed by the treated group then the control group and the difference was statistically significant with the treated group and highly significant with the control group, but the difference was not significant between the treated and the control group. Conclusion: Salivary Interluekine-6 and Tumor necrosis factor- ? levels were higher in the newly diagnosed group. Saliva provides an ideal tool for the detection of pro-inflammatory markers. Salivary IL-6and TNF-? may play an important role as biomarkers for CMLand IL-6 is more predictable for the response to the treatment than TNF-?.
This research a study model of linear regression problem of autocorrelation of random error is spread when a normal distribution as used in linear regression analysis for relationship between variables and through this relationship can predict the value of a variable with the values of other variables, and was comparing methods (method of least squares, method of the average un-weighted, Thiel method and Laplace method) using the mean square error (MSE) boxes and simulation and the study included fore sizes of samples (15, 30, 60, 100). The results showed that the least-squares method is best, applying the fore methods of buckwheat production data and the cultivated area of the provinces of Iraq for years (2010), (2011), (2012),
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Objective: Atorvastatin therapy is now recommended for reduction of cardiovascular risk in type 2 diabetic patients (T2DM), based on convincing evidence of reductions in mortality and vascular events in major clinical outcome trials. The aim is to evaluate the effects of atorvastatin on proinflammatory markers (TNF-α, IL-6), HbA1c andleptin in obese patients with type 2 diabetes. Methods: Sixty fivenewly diagnosed T2DM patients were randomly allocated into 2 groups; group I treated with metformin only; in group II atorvastatin was added with metformin. Twenty healthy subjects were enrolled as control group. While maintaining their usual eating habits, fasting blood samples were collected at baseline and after 12 weeks of treatment. Results
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Background:
Multiple sclerosis is a chronic disease believed to be the result of autoimmune disorders of the central nervous system, characterised by inflammation, demyelination, and axonal transection, affecting primarily young adults. Disease modifying therapies have become widely used, and the rapid development of these drugs highlighted the need to update our knowledge on their short- and long-term safety profile.
Objective:
The study aim is to evaluate the impact of disease-modifying treatments on thyroid functions and thyroid autoantibodies with subsequent effects on the outcome of the disease.
Materials and Methods:
A retro prospective study
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Abstract Background: Kaposi’s sarcoma (KS) is an angioproliferative neoplastic disorder that occurs in different epidemiological forms. Human Herpesvirus type 8 (HHV-8) is established as a causative agent of KS that has been mentioned in textbooks and literature. In the last two decades, KS cases were up searched through many Iraqi medical researches which have been published, but unfortunately, none of which had confirmed this association. Objectives: To assess the association of latent nuclear antigen-1(LANA-1) of HHV-8 among KS patients with clinicopathological parameters and to evaluate if this procedure is valuable for diagnosing this disease through the first immunohistochemical study in Iraq. Methods: This is a clinico-immunohis
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Background: Diabetes mellitus a major factor that has adverse effects on the vascular system and the heart. It causes an increase in cardiac muscle thickness, resulting in decreased compliance and increased peripheral arterial stiffness. This study aims to assess the left ventricular mass (LVM) and left ventricular hemodynamic changes in diabetic patients measured by Doppler echocardiography. Patients and Methods: The study included 50 diabetic patients ranging in age between 25 and 80 years, (mean age: 54.1 ± 15.10, 19 males, 31 females) and 50 healthy subjects, aged 25 to 80 years (mean age: 48.52 ± 14.45, 11 males, 39 females). Doppler echocardiography was used to assess left ventricular function. The measurements included
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this study deals with effect of diabetes and hypertension on quality of life
Several adipokines are produced and secreted from adipose tissue, such as retinol binding protein-4, which triggers metabolic syndromes and insulin resistance. Retinol binding protein-4 transfers vitamin A or retinol in the blood. Higher levels of retinol binding protein-4 are interrelated with progress of metabolic disease, comprising obesity, metabolic syndrome, and type 2 diabetes mellitus. The present study investigates the role of retinol-binding protein-4 levels in type 2 diabetic Iraqi patients with metabolic syndrome. Sixty type 2 diabetic patients aged 40–53 years were examined. Of these 30 patients has metabolic syndrome and 30 without metabolic syndrome. The patients sampled were from the National Diabetes Center/ Mustansiriyah
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In this research, the one of the most important model and widely used in many and applications is linear mixed model, which widely used to analysis the longitudinal data that characterized by the repeated measures form .where estimating linear mixed model by using two methods (parametric and nonparametric) and used to estimate the conditional mean and marginal mean in linear mixed model ,A comparison between number of models is made to get the best model that will represent the mean wind speed in Iraq.The application is concerned with 8 meteorological stations in Iraq that we selected randomly and then we take a monthly data about wind speed over ten years Then average it over each month in corresponding year, so we g
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