Insulin-induced hyperglycemia is the hallmark of diabetes mellitus (DM), including various metabolic disorders. Diabetic people are more likely to develop dyslipidemia, hypertension, and obesity. Type 2 diabetes (T2DM), the most common illness, is generally asymptomatic in its early stages and can go misdiagnosed for years. Diabetes screening may be beneficial in some cases since early identification and treatment can lessen the burden of diabetes and its consequences. This study aimed to find the relationship between Glycated hemoglobin (HbA1c) and lipid profile components in T2DM patients. This descriptive-analytical and cross-sectional study was performed on the control group and T2DM patients in Medical City in Baghdad between March and June 2021. A total of 90 patients with T2DM and 45 healthy control were included in this study. In the control group, healthy volunteer individuals participated. For all subjects, HbA1c, fasting blood sugar/FBS, and lipid profile (Total Cholesterol/TC, Triglyceride/TG, High-density Lipoprotein/HDL, Low-density Lipoprotein/LDL, and Very Low-density Lipoprotein/VLDL) were assessed. Among T2DM patients 62.22% (n= 56) were male and 37.78% (n= 34) were female. Mean ± SD levels of HbA1c, TC, TG, LDL, VLDL, HDL, and FBS were 7.33±0.56 % (168.21±9.23, 146.10±9.64, 137.23±8.32, 41.05±5.86, 43.85±6.17, and 208.81±52.1) mg/dl respectively in the T2DM group. In the control group, the Mean ± SD results of the same parameters were 4.91±0.27%, (171.20±3.57, 116.60±8.25, 105.05±2.11, 41.83±4.92, 44.04±5.54, 96.20±7.8) mg/dl respectively. Results demonstrated statistically significant differences between T2DM patients and control groups in HbA1c (p equal to 0.0025), TG (p equal to 0.015), LDL (p=0.0029), and FBS (p=0.02). Pearson correlation analysis of HbA1c with other variables showed a significant positive correlation with serum TC, TG, LDL, and FBS (r=0.573, P<0.01; r=0.655, P <0.001; r=0.498, P<0.05; r=0.691, P<0.001; respectively). While the data showed a negative connection between HbA1c and HDL (r= - 0.562, P<0.01) The findings of this study reveal that diabetic people do not have a satisfactory HbA1c level. Furthermore, HbA1c shows a significant correlation with TC, TG, LDL, and VLDL, whereas it has a significant negative correlation with HDL. The study showed that HbA1c might be useful for predicting dyslipidemia in T2DM patients.
This paper analyzes the effect of scaling-up model and acceleration history on seismic response of closed-ended pipe pile using a finite element modeling approach and the findings of 1 g shaking table tests of a pile embedded in dry and saturated soils. A number of scaling laws were used to create the numerical modeling according to the data obtained from 1 g shake table tests performed in the laboratory. The current study found that the behaviors of the scaled models, in general have similar trends. From numerical modeling on both the dry and saturated sands, the normalized lateral displacement, bending moment, and vertical displacement of piles with scale factors of 2 and 35 are less than those of the pile with a scale factor of 1 and the
... Show MoreThis study aims to determine the reasons for the increase in the frequency of sand and dust storms in the Middle East and to identify their sources and mitigate them. A set of climatic data from 60 years (1960–2022) was analyzed. Sand storms in Iraq are a silty sand mature arkose composed of 72.7% sand, 25.1% silt, and 2.19% clay; the clay fraction in dust storms constitutes 70%, with a small amount of silt (20.6%) and sand (9.4%). Dust and sand storms (%) are composed of quartz (49.2, 67.1), feldspar (4.9, 20.9), calcite (38, 5), gypsum (4.8, 0.4), dolomite (0.8, 1.0), and heavy minerals (3.2, 6.6). Increasing temperatures in Iraq, by an average of 2 °C for sixty years, have contributed to an increase in the number of dust storm
... Show MoreHerein, we report designing a new Δ (delta‐shaped) proton sponge base of 4,12‐dihydrogen‐4,8,12‐triazatriangulene (compound
Most companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. If pre-processing is carried out correctly, data accuracy may improve. Also, sentiment analysis workflow is highly dependent. Because no pre-processing technique works well in all situations or with all data sources, choosing the most important ones is crucial. Prioritization is an excellent technique for choosing the most important ones. As one of many Multi-Criteria Decision Mak
... Show MoreIn this study, biodiesel was prepared from chicken fat via a transesterification reaction using Mussel shells as a catalyst. Pretreatment of chicken fat was carried out using non‐catalytic esterification to reduce the free fatty acid content from 36.28 to 0.96 mg KOH/g oil using an ethanol/ fat mole ratio equal to 115:1. In the transesterification reaction, the studied variables were methanol: oil mole ratio in the range of (6:1 ‐ 30:1), catalyst loading in the range of (9‐15) wt%, reaction temperature (55‐75 °C), and reaction time (1‐7) h. The heterogeneous alkaline catalyst was greenly synthesized from waste mussel shells throughout a calcin
Asthma is one of the most common chronic, non-communicable diseases affecting children worldwide. The estimated prevalence of pediatric asthma in Iraq is 15.8%. Physiologic, inflammatory and structural factors contribute to the development of asthma. Assessment and monitoring of asthma control can be done by a validated children asthma control test (CACT). Management of asthma must address three components which are an appropriate management plan, the most appropriate medication if necessary, and the use of safe and effective medication. The management plan should consider patient counseling and education about the definition of asthma, signs, and symptoms, the pathophysiology of asthma, common triggers for asthma and how can avoid them,
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