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Articles Related to diabetic

Radiomics, PET-PSMA and Machine Learning for Intraprostatic Cancer Diagnosis

Prostate cancer (Pca) is the second most prevalent malignant neoplasia in man, just after non-melanoma skin cancer. Today, prostate biopsy for tissue sampling is still the gold standard for its diagnosis. However, new generation imaging exam has been used in several clinical scenarios. Yet, positron emission tomography (PET) that targets a specific transmembrane protein on prostatic cells
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A rare case of levofloxacin-induced fatal hypoglycemia in a non-diabetic patient with the review of literature

Levofloxacin, a broad-spectrum, third-generation fluoroquinolone antibiotic, is rarely reported to cause life-threatening adverse effects, such as severe hypoglycemia resulting in coma. We report a rare case of hypoglycemia in an elderly non- diabetic patient induced by levofloxacin. A 61-year-old male patient was admitted with severe hypoglycemia. His past medical history revealed treatment with levofloxacin for pneumonia.
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Machine Learning Prediction of Response towards Anti-VEGF Injections in Patients with DME: Prediction of Post-Injection CST

Diabetic macular edema (DME) has become one of the most potential complications that results in loss of vision in patients with diabetic retinopathy. Treatment outcomes that have been predicted directly with advent of machine learning (ML) methods after the initial anti-vascular endothelial growth factor (anti-VEGF) injection, has become extremely vital in the management of DME. Purpose: The aim of this study is to analyze the efficiency of the ML regression models which were developed and validated to predict the possible post-injection central subfield thickness (CST) value and distant vision best corrected visual acuity (DV BCVA) in eyes with DME before the anti-VEGF injection is administered at either treatment initiation or during treatment monitoring. Methods: This retrospective study was conducted in Medical Research Foundation, Chennai, India from January 2010 to December 2020. The model development emphasized on an ensemble ML system consisting of four ML models that were developed and trained independently using the clinical parameters to predict the post injection CST value. The dataset consisting of 906 patients with total of 1874 samples [Optical coherence tomography (OCT) images and clinical parameters] were divided into trained and test set, and the model was validated on test dataset. The predicted CST values was then compared against the respective sample’s post injection actual CST value. The comparative results were measured in terms of Correlation Coefficient and Mean Absolute Relative Error (MARE). Results: On evaluation, we found that Support Vector Regression (SVR) with linear kernel performed best among the other models with four different scenarios in term of both CST and DVBCVA prediction with correlation coefficient of 0.65, 0.73, 0.75, 0.85 and 0.83, 0.87, 0.89 and 0.92 respectively.
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Socio-Demographic, Clinical Characteristics and Blood Lipid profiles of Type 1 Diabetic Patients Followed in Regional Hospitals in The Northern Zone of Cameroon

Background and Objective: In Cameroon, given the galloping growth in the prevalence of diabetes, in particular type 1 diabetes in the northern regions, we undertook this study, with the objective to improve the management of type 1 diabetes by determining the socio-demographic, clinical characteristics and lipid profiles of the patients followed in the care centers of regional hospitals of Maroua, Garoua and Ngaoundere. Methods: We undertook a descriptive cross-sectional study from 07 August 2018 to 07 May 2019 in the care centers of the regional hospitals. Sociodemographic and clinical data were collected by interview to consent patient through structured questionnaires in the survey sheet. Anthropometric data were also determined during the survey, and the blood was collected in referred laboratory for determination of some lipid profiles parameters. Results: On a sample of 467 Patient suffering from diabetes, 68 were of type 1, representing a prevalence of 26%. Type 1 diabetes Patients were mostly female (61.8%) and the mean age was 20.72 ± 3.4 years with a high percentage between 20-30 years (51.5%). More than half of our patients were pupils and students, many of them practiced Muslims as religion (58.8%). In most of cases (51.3%), the disease was diagnosed after one year as a result of illness. The majority of our patients were non-smokers (98.5%) and less athletic (32.4%). The mean Body Mass Index (BMI) was 23.03 ± 2.7 kg /m2 with an average waist circumference of 80.26 ± 9.23 cm in men and 82.15 ± 10.45 in women. Their treatment was based essentially on insulin therapy, mainly using regular and intermediate insulins. More than half of the subjects had high blood glucose (78.1%), high triglyceride (34.1%) and HDL-cholesterol (29.3%) levels. Most of the patients suffered from overweight/obesity, high blood pressure, arthritis, kidney failure and other diseases (malaria, jaundice, stomach ache). No significant relation was found between clinical and the sociodemographic and blood lipid profiles. Conclusion: It emerges from this study that type 1 diabetes represent high proportions of diabetes cases in septentrional area of Cameroon, and affect mostly young of less than 30 years old, dominated by women, practicing Muslim as religion. Their clinical profile characterized by high frequency of overweight/obesity, kidney failure and arthritis vary, but not significantly, with neither their sociodemographic nor their blood lipid profiles. Absence of sport, female and less control of their hypoglycemia are factors risks of the progression of the disease.
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Diabetic Retinopathy, Classification And Clinical Impact

Introduction: Diabetic retinopathy maybe defined as the presence and characteristic evolution of typical retinal micro-vascular lesions to an patient with diabetes. DR usually manifests as a gradual, painless progression of vision loss; however, visual loss may occur with vitreous hemorrhage or macular edema. Aims: To ascertain the prevalence of diabetic retinopathy (DR) based on the duration of the diabetes mellitus (DM) and to compare it with data from relevant literature and other referent clinics. This exploratory research was conducted to evaluate the clinical experience of DR, its impact of the other disease and health related quality of life. Material and methods: In this study are included the patients with diabetes mellitus type I insulin dependent (DMID) and diabetes mellitus type II non-insulin dependent (DMNID). The duration of diabetes in the examined patients varied from 5 till 30 years. We have applied examination by ophthalmoscope, slit lamp bio-microscopy with Volk and Goldman lens, optical coherence tomography - OCT as well as fluorescent angiography - FAG. Have been included for focus groups (n = 450) the treated patients with DR, from December 2016 - 2020. Results: Participants described a range of evaluate symptoms and clinical impact. In suffering for a period of 5 years, the prevalence of DR is 12.5%. In diabetic patients suffering over 30 years, the prevalence of DR is over 90.5 %. After the test of PDR impact the comlications results by the X2 -test, the difference was found to be statistically significant for p<0.05.
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Effects of Ramadan Fasting on Anthropometric Measures, Blood Pressure and Glucose Level among Type 2 Diabetic Patients on Metformin Treatment

Fasting from dawn to dusk during Ramadan is obligatory for all healthy adult Muslims.
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Metabolic Effects of an Inositol-Resveratrol Nutraceutical Combination in Non-Diabetic Overweight/Obese Subjects with Altered Glucose Tolerance

Insulin resistance (IR) is almost constistently associated with overweight or obesity in both diabetic and non-diabetic subjects. Nutraceutical compounds improving insulin resistance (IR) may be useful in prevention and treatment of cardiovascular (CV) risk factors in metabolic diseases.
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Serious Post Extraction Complaint: A Study at Peshawar Dental College, Khyber Pukhtunkhwa

Dry socket is the most frequent post extraction complaint of patients, and it develops within 2 to 4 days after the extraction of tooth. This study is conducted to describe the predisposing or contributing factors associated directly or indirectly with the development of dry socket after the extraction of tooth at Oral and Maxillofacial Surgery Department of Peshawar Dental Collage and Hospital (PDC) Peshawar KPK.
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Consumption of Gnetum Africanum and Effects on Dislipidemia in Diabetic Rats

Part of the study was to assess the concentration of secondary metabolic (total: phenolic, flavonoid, and proanthocyanidin, tannin) and the antioxidant activities in methanol (MeOH) and methanol-water (MeOH-H2O) extract of GnA.
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Lessons Learned from Diabetic Diets over the Last Centuries

For more than two millennia, healers and patients have tried to cure the symptoms of diabetes by dietary measures. These have changed with the advancing state of knowledge about this first mysterious, later puzzling disease. In the last 100 years, the introduction of insulin, oral antidiabetics and improved possibilities for self-control have changed and somewhat reduced the importance of special dietetic measures. Since patients with type 2-diabetes now suffer earlier and more severely from the consequences of the metabolic syndrome, they should choose a normal “prudent diet” to prevent or at least attenuate this fate.
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Significance of Hba1c in Diabetic Ocular Motor Cranial Nerve Palsies

The aim of this study was to evaluate the cases of Isolated Third, Fourth and Sixth Cranial Nerve (CN) palsies of microvascular etiology in patients with Diabetes mellitus(Type2) and analyze their Glycosylated hemoglobin (HbA1c) levels. A retrospective study of patients diagnosed with third, fourth or sixth nerve palsy over three years, 2014- 2017 was done. 61 patients with the nerve palsy of microvascular ischaemic etiology due to diabetes mellitus(Type2) were selected for the study. The latest laboratory investigations that the patient had were recorded. The fasting, postprandial blood sugars and HbA1c levels were analyzed. Analysis was done using Microsoft excel 2010.
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Anti-Diabetic Activity of Lycopene Niosomes: Experimental Observation

The lycopene is a known bioactive constituent of Lycopersicum esculentum and its application in diabetes is an active area of research. The lycopene has disadvantages such as susceptible to light, heat, and oxidants, which limit its therapeutic applications. In the present investigation, we reported lycopene niosomes formulation which can enhance its anti-diabetic application. The niosome formulation was prepared to preserve lycopene activity.
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The Management and Care of the Type 1 Diabetic Athlete

Diabetes poses many unique challenges to all individuals affected by the disease, particularly the diabetic athlete due to the effect that exercise has on blood glucose levels within the body. Patients and professionals must demonstrate significant understanding of the complex interaction of many physiological and environmental components that contribute to the maintenance of glucose homeostasis, or lack thereof. Type 1 Diabetes Mellitus is the form of Diabetes most often seen in elite athletes.
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Stability Analysis of Human Islet Amyloid Polypeptide and Its Mutated Oligomeric Forms

Human islet amyloid polypeptide (hIAPP), a 37 residue peptide hormone is an ingenious factor in pancreatic amyloid deposits found in cases with type-2 diabetes. Its aggregation into small toxic oligomeric species is presumed to be the reason for cells debilitation and demise in case of diabetic patients.
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Effects of Pioglitazone on the Electrocardiogram in the Goto-Kakizaki Type 2 Diabetic Rat Heart

Cardiovascular complications are the major cause of morbidity and mortality in diabetic patients. Pioglitazone (PIO) is used for the treatment of type 2 diabetes mellitus and there is some evidence that it may improve ventricular function in diabetic patients.
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Editorial Board Members Related to diabetic

Gordon L Fung

Professor
School of Medicine
University of California
United States

Akira Sugawara

Department of Molecular Endocrinology
Tohoku University Graduate School of Medicine
Japan

MASAYOSHI YAMAGUCHI

Professor
Department of Hematology and Medical Oncology
Emory School of Medicine
Emory University
United States

SABIRA KHATUN

Professor
Faculty of Electrical and Electronics Engineering
University Malaysia Pahang
Malaysia

Chandan Saha

Associate Professor
Department of Biostatistics
School of Medicine
Indiana University
United states

Nilufer Orhan

Associate Professor
Department of Pharmacognosy
Gazi University Faculty of Pharmacy
Turkey

Masayoshi Yamaguchi

Adjunct Professor
Department of Hematology and Biomedical Oncology
Emory University School of Medicine
United States

Mohamed Eddouoks

Professor
Faculty of Sciences and Techniques Errachidia
Moulay Ismail University
Morocco

Ronald E.P. Frenkel

Voluntary Professor of Ophthalmology
Bascom Palmer Eye Institute
University of Miami School of Medicine
United States

Muhammad Nasir Afzal

Professor & Director
Department of physiology
College of Medicine, Alfaisal University
Saudi Arabia
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