The co-occurrence of metabolic syndrome with type 2 diabetes mellitus (T2DM) will potentiate the morbidity and mortality that may be associated with each case. Fasting triglycerides-glucose index (TyG index) has been recommended as a useful marker to predict metabolic syndrome. Our study aimed to introduce gender-specific cut-off values of triglycerides- glucose index for diagnosing metabolic syndrome associated with type 2 diabetes mellitus. The data were collected from Baghdad hospitals between May - December 2019. The number of eligible participants was 424. National cholesterol education program, Adult Treatment Panel III criteria were used to define metabolic syndrome. Measurement of fasting blood glucose, lipid profile, HbA1c level, blood pressure, and anthropometric were done and the triglyceride-glucose index was calculated. Ethical approval and informed consent were obtained .SPSS was used to analyze the data. Diabetic patients with metabolic syndrome showed an increased level of TyG Index. The prevalence of metabolic syndrome increased with increased TyG index quartiles. The TyG-Index showed significant correlations with all components of metabolic syndrome. The optimal cut-off value revealed 9.14, 9.28 for males and females respectively. In conclusion, TyG index is a good predictor of the presence of MetS in T2DM the TyG index, just measured in one laboratory test, is simple, informative and more suitable for the detection of metabolic syndrome in Iraqi type 2 diabetes mellitus.
The using of the parametric models and the subsequent estimation methods require the presence of many of the primary conditions to be met by those models to represent the population under study adequately, these prompting researchers to search for more flexible parametric models and these models were nonparametric, many researchers, are interested in the study of the function of permanence and its estimation methods, one of these non-parametric methods.
For work of purpose statistical inference parameters around the statistical distribution for life times which censored data , on the experimental section of this thesis has been the comparison of non-parametric methods of permanence function, the existence
... Show MoreThe variation of compression index Cc and swelling index Cs with the degree of saturation S was studied on unsaturated and fully saturated soils for different degrees of saturation (100%, 91%, 85%, 75%, 60%), several mathematical equations were found to describe these relationships, these equations can be used to predict settlement during the consolidation process in unsaturated and fully saturated soils.
Background: Acute coronary syndrome refers to any group of clinical symptoms compatible with acute myocardial ischemia including unstable angina (UA), Non-ST-segment elevation myocardial infarction (NSTEMI) & ST-segment elevation myocardial infarction (STEMI).
Apelin is a novel endogenous peptide with inotropic and vasodilatory properties, it was recently reported that serum measurements of apelin were similar to its immunohistochemical data in vessels and heart tissues.
Objectives: This study aims to evaluate serum levels of apelin in patients with Acute Coronary Syndrome related to severity of presentation.
Patients and Methods: The present study was conducted during the period from September 2014 until March 2015. Fifty-n
This study was carried out to investigate the relationship between Serum leptin, Body Mass Index (BMI), Triglycerides, Cholesterol and HDL- Cholesterol in Non Diabetic Obese subjects comparing with healthy subject. A 36 male and female Iraqis obese were studied, mean age 50.1, 43.3 years respectively and 23 healthy subjects. Serum leptin, Triglycerides, Cholesterol and HDL- Cholesterol were measured. Leptin, Triglycerides, Cholesterol, HDL- Cholesterol and BMI significantly increased in obese males and females compared with control, but there was no significant difference in HDL- Cholesterol and BMI when compared between obese males and females. A low significant positive correlation was f
... Show MoreBackground: Rheumatoid arthritis (RA) disease activity plays a central role in causing disability both directly and via indirect effects mediated through joint damage. Evaluation of RA disease activity is therefore important to predict the outcome and effectiveness of therapeutic interventions during follow-up. Clinical disease activity index (CDAI) is new simple tool for measurement of disease activity.
Objectives: To assess validity and reliability of CDAI in comparison to disease activity score-28 joints (DAS28) in Iraqi patients with active RA.
Patients and Methods: Sixty nine Iraqi RA patients were included in this study. All patients were fulfilling the ACR classification criteria and active. Full history was taken and comple
Type 2 diabetes mellitus(T2DM) is a metabolic disease that is associated with an increased risk for atherosclerosis by 2-4 folds than in non- diabetics. In general population, low IGF-1 has been associated with higher prevalence of cardiovascular disease and mortality .This study aims to find out the relationship between IGF-1 level and other biochemical markers such as Homeostasis Model Assessment insulin resistance(HOMAIR) and Body Mass Index(BMI) in type 2 diabetic patients . This study includes (82) patients (40 females and 42 males) with age range (40-75) years,(34) non obese diabetic patients and (48) obese diabetic patients. The non obese individuals considered
... Show MoreHundreds of commensal bacteria are existed in the mouth and nose, and the interactions between these microbiotas and the Toll-like receptors (TLRs) in different parts of the upper respiratory tract, gastrointestinal tract, and immune cells maty assist to maintain the homeostasis of the immune system. Thus, it is important
to study the relationship between type one hypersensitivity and normal flora in the mouth and nose. Blood and saliva or sputum samples of seventy-one allergic patients were collected randomly in Baghdad/ Al- Zahraa center for asthma and allergies. Those patients were suffering from different types of hypersensitivity type1 such as skin and respiratory tract allergy (e.g, asthma and
Back ground: Diabetic nephropathy is rapidly becoming the leading cause of end-stage renal disease (ESRD). The onset and course of DN can be ameliorated to a very significant degree if intervention institutes at a point very early in the course of the development of this complication.
Objective: The aim of this study was to characterize risk factors associated with nephropathy in type I diabetes and construct a module for early prediction of diabetic nephropathy (DN) by analyzing their risk factors.
Methods: Case control design of 400 patients with type I diabetes mellitus (IDDM), aged 19-45 years. The cases were 200 diabetic patients with overt protein urea while the controls were 200 diabetic patients with no protein urea or micr
Nonlinear time series analysis is one of the most complex problems ; especially the nonlinear autoregressive with exogenous variable (NARX) .Then ; the problem of model identification and the correct orders determination considered the most important problem in the analysis of time series . In this paper , we proposed splines estimation method for model identification , then we used three criterions for the correct orders determination. Where ; proposed method used to estimate the additive splines for model identification , And the rank determination depends on the additive property to avoid the problem of curse dimensionally . The proposed method is one of the nonparametric methods , and the simulation results give a
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