Depression Reduction for Patients With Type 2 Diabetes via E-Health Interventions

2021 ◽  
pp. 62-70
Author(s):  
Cynthia Wong
Keyword(s):  
Type Ii Diabetes ◽  
Mobile Apps ◽  
Personal Health Records ◽  
Health Interventions ◽  
Type Ii ◽  
Patient Portals ◽  
Health Records ◽  
Research Findings ◽  
Poor Outcomes

Diabetes is one of the most significant global health emergencies affecting populations in the 21st century, where one out of 15 adults has type II diabetes. Impaired glucose tolerance contributes to more than half of all causes of diabetes. Further, depression has adverse economic and health outcomes. The condition also contributes to poor outcomes in screening efforts among type II diabetes patients. E-health intervention is one of the means for reducing depression. There is, therefore, a need to investigate whether the strategy effectively reduces depression among patients with type II diabetes. The research examined the e-health interventions, which include personal health records (PHRs), diabetes mobile apps, patient portals, information repositories, telehealth, and electronic health records (EHRs). The research findings indicated that e-health would significantly help in reducing depression among people with type II diabetes.

scholarly journals P006: Characterizing patients with newly-diagnosed diabetes mellitus in the emergency department: A one-year health records review

CJEM ◽  
2017 ◽  
Vol 19 (S1) ◽  
pp. S79
Author(s):  
H. Ali Khan ◽  
K. Gushulak ◽  
M. Columbus ◽  
I.G. Stiell ◽  
J.W. Yan
Keyword(s):  
Diabetic Ketoacidosis ◽  
Type Ii Diabetes ◽  
Type I ◽  
Type Ii ◽  
Newly Diagnosed ◽  
Health Records ◽  
The Mean ◽  
One Year ◽  
Diagnosed Diabetes ◽  
Newly Diagnosed Diabetes

Introduction: Diabetes mellitus is an increasingly prevalent chronic condition that is usually managed in an outpatient setting. However, the emergency department (ED) plays a crucial role in the management of diabetic patients, particularly for those who are presenting with newly diagnosed diabetes. Little research has been done to characterize the population of patients presenting to the ED with hyperglycemia with no previous diagnosis of diabetes. The objective of this study was to describe the epidemiology, treatment, and outcomes of patients who were newly diagnosed with diabetes in the ED and to compare those with newly diagnosed type I versus type II diabetes. Methods: A one-year health records review of newly diagnosed diabetes patients ≥18 years presenting to one of four tertiary care EDs was conducted. All patients with a discharge diagnosis of hyperglycemia, diabetic ketoacidosis or hyperosmolar hyperglycemic syndrome were screened, but only those who did not have a previous history of diabetes were included. Trained research personnel collected data on patient characteristics, management, disposition, and outcome. Descriptive statistics were used to summarize the data where appropriate. Results: Of 645 patients presenting with hyperglycemia in the study period, 112 (17.4%) were newly diagnosed diabetes patients. Of these patients, 30 (26.8%) were later diagnosed with type I diabetes and 82 (73.2%) were diagnosed with type II diabetes. For the newly diagnosed type I patients the mean (SD) age was 27.6 (9.9) and the mean (SD) age for type II patients was 52.4 (14.1). Of all the new onset patients, 26.8% were diagnosed with diabetic ketoacidosis. The percentage of patients diagnosed with diabetic ketoacidosis was higher in type I than type II (63.3% vs 13.4%; P<0.01). A total of 49 (43.8%) patients were admitted to the hospital, and more patients with type I were admitted compared to those with type II (66.7% vs 35.4 %; P<0.01). Conclusion: Limited research has been done to describe patients newly diagnosed with diabetes in the ED. Patients with type I were found to be more likely to present to the ED with serious symptoms requiring admission to hospital. Our findings demonstrate that the ED may have a strong potential role for improving diabetic care, by providing future opportunities for education and follow-up in the ED to reduce complications, particularly in type I.

Relationship between Netrin-1 Levels and Diabetes Mellitus Type 2

2021 ◽  
Vol 19 (10) ◽  
pp. 29-33
Author(s):  
Dr. Mohammed Abdulrazzaq Assi ◽  
Dr. Hanan Jasim Hammood ◽  
Zainab Mahdi Attia
Keyword(s):  
Diabetes Mellitus ◽  
Type Ii Diabetes ◽  
Diabetes Mellitus Type 2 ◽  
Fasting Blood Glucose ◽  
The Body ◽  
Blood Cholesterol ◽  
Control Group ◽  
Type Ii ◽  
Significant Drop

Objects: The study's purpose was to see if there was a link between netrin.1 and type II diabetes patients. Methodology: The present study carried out on (45) patients affected with diabetes mellitus from (120) persons were examined in the education of Diwaniyah hospital from 6th September to the 4th December 2020. The study includes measurement of the body mass index, fasting blood glucose level, HbA1c, lipid profile and level of netrin-1. Results: Our findings were revealed the netrin-1 level was significantly lower in the diabetes (1205.36±753.09) compared to control group (1477.79±700.26; P < 0.01). Our observations were appeared Significantly higher levels of blood cholesterol, TG, LDL, and VLDL-C and In diabetes individuals, there was a significant drop There was a 0.05 difference in HDL-C levels when compared to healthy controls. Conclusion: These findings indicate that low netrin1 concentration in serum are strongly linked to the occurrence of type II diabetes.

DIABETIC STRIATOPATHY: A RARE PRESENTATION OF NONKETOTIC HYPERGLYCEMIA

2021 ◽  
pp. 108-109
Author(s):  
Ranjan Mallick ◽  
Shyam Sunder Hembram ◽  
Ram Chandra Bhadra Chandra Bhadra
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type Ii Diabetes ◽  
Western Europe ◽  
Rare Complication ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii ◽  
Rare Presentation ◽  
Acute Hyperglycaemia

Type II Diabetes Mellitus is one of the most common non-communicable diseases with innumerable & potentially life threatening complications. In 2017, approximately 462 million individuals were affected by type 2 diabetes corresponding to 6.28% of the world's population (4.4% of those aged 15-49 years, 15% of those aged 50-69, and 22% of those aged 70+), or a prevalence rate of 6059 cases per 100,000. Over 1 million deaths per year can be attributed to diabetes alone, making it the ninth leading cause of mortality. The burden of diabetes mellitus is rising globally, and at a much faster rate in developed regions, such as Western Europe. The gender distribution is equal, and the incidence peaks at around 55 years of age. Global prevalence of type 2 diabetes is projected to increase to 7079 individuals per 100,000 by 2030, reecting a continued rise across all regions of the world.[¹] . Two of the common complications due to acute hyperglycaemia are Diabetic Ketocidosis & Non ketotic hyperosmolar coma which are considered a spectrum of the same complication due to low circulating levels of insulin leading to impaired glucose metabolism by insulin dependant tissues with rising levels of anti-insulin hormones like glucagon, cortisol & catecholamines due to intracellular starvation resulting in hypergylcemia & fatty acid breakdown & ketonemia. Amongst the numerous complications of Type II Diabetes Mellitus, here we present a rare complication of acute hyperglycaemia and its radiological picture in the central nervous system. A 56 year old female patient with a history of Type II Diabetes Mellitus with Hypertension under long term medication came for a private consultation with a complaint of Right sided involuntary, random, irregular, inging and ailing, rapid, non-patterned movements for past 7 days. The patient was advised for an urgent MRI of Brain which demonstrated high T1 signal & low T2/FLAIR intensity with no diffusion restriction of DWI & ADC map in left sided putamen & head of caudate nucleus. We illustrated a rare classical nding of acute hyperglycemic effect on brain in a case of long standing Type II Diabetes Mellitus despite being on medications

scholarly journals Elevated serum uric acid and triglycerides level in the patients with Type II Diabetes Mellitus- a Nepalese case control study

2017 ◽  
Vol 2 (2) ◽  
pp. 26-34
Author(s):  
Hridaya Parajuli ◽  
Jyotsna Shakya ◽  
Bashu Dev Pardhe ◽  
Puspa Raj Khanal ◽  
Narayan Prasad Parajuli ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Type Ii Diabetes ◽  
Type Ii Diabetes Mellitus ◽  
Diabetic Patients ◽  
Type Ii ◽  
Significant Difference

Background: Hyperuricemia is associated with type 2 diabetes, which is a metabolic disorder of multiple etiologies resulting from defects in insulin action. The present study wascarried out to look for any association between uric acid and Type II Diabetes Mellitus and also status of triacylglycerol level among those patients.Methods: The blood samples were collected 100 diabetic and 100 non-diabetic individuals in the department of biochemistry and then analyzed for estimation of blood glucose, Uric Acid and Triacylglycerol level.Results: The average level of serum uric acid in diabetic patients was higher (5.706±1.617) in comparison to non diabetic subjects (4.322±0.784) with statistically significant difference (p≤0.05). For female the result indicate there was a positive correlation between (FBS and triglycerides) and (triglycerides and uric acids) which was statistically significant (r =-0.465, n = 41, p = 0.002) and(r =-0.370, n = 41, p = 0.017) respectively.Conclusions: This study documents that hyperuricemia is associated with type 2 diabetes mellitus. Furthermore, the serum triacylglycerol and serum uric acid is also found to be associated risk factors for diabetic complications. Hence, timely diagnosis and management of diabetes is vital to control the complications related to diabetes.Ann. Clin. Chem. Lab. Med. 2016:2(1); 26-34

scholarly journals Influence of Glycated Haemoglobin Levels on Intraocular Pressure in patients with Type –II Diabetes Mellitus

2019 ◽  
Vol 11 (1) ◽  
pp. 19-23
Author(s):  
Ajai Agrawal ◽  
Shubham Ahuja ◽  
Anupam Singh ◽  
Ramanuj Samanta ◽  
Sanjeev Kumar Mittal
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Intraocular Pressure ◽  
Type Ii Diabetes ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii ◽  
Group I ◽  
Hba1c Levels

Introduction: Patients with diabetes mellitus are at a higher risk of developing primary open angle glaucoma (POAG) as compared to non-diabetic patients. Objectives: To determine whether there is a correlation between hyperglycemic levels and intraocular pressure (IOP) and to identify patients of Type II diabetes mellitus who are at a higher risk of developing glaucoma. Materials and Methods: This was a hospital based, cross sectional study performed on patients with type II diabetes mellitus, at a tertiary health care center in Uttarakhand, India between July, 2018 and September, 2018. 318 eyes of 159 patients with Type2 diabetes mellitus were included in the study. IOP was measured by Goldmannappla nation to no meter and central corneal thickness was measured with specula microscope in all patients, in addition to glycated hemoglobin levels (HbA1c) and fasting and post-prandial blood glucose levels. The data was analysed using SPSS 22 software. Results: Mean IOP was found to be 15.75 ± 3.18 mm Hg in patients with HbA1c levels between 6.5%-12% (Group I) and 17.42 ± 2.67 mm Hg in patients with HbA1c levels more than 12 % (Group II). The difference between the two groups was statistically significant (P =0.013). Out of 159 patients with Type 2 Diabetes mellitus, a total of 11 patients had IOP more than 21mm Hg in one or both the eyes. Conclusion: Hyperglycaemic levels as determined by raised HbA1c levels are associated with higher intraocular pressures in patients with type 2 diabetes mellitus.

scholarly journals Diagnostic Role of NT Pro BNP in Diabetes Type 2 Patients Associated with Cardiovascular Disease Risk, A Study from Central India

1970 ◽  
Vol 11 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Ashok Sahu ◽  
Trapti Gupta ◽  
Arvind Kavishwar ◽  
Purnima Dey Sarkar ◽  
RK Singh
Keyword(s):  
Cardiovascular Disease ◽  
Lipid Profile ◽  
Vascular Disease ◽  
Type Ii Diabetes ◽  
Type Ii ◽  
Patients With Diabetes ◽  
Cardio Vascular Disease ◽  
Cardio Vascular ◽  
Diabetes Patients

Cardiovascular disease is the most frequent cause of death in patient with diabetes. It is difficult to evaluate cardiovascular status of patients with diabetes because of complex symptomatology. NTproBNP, a split peptide from pro BNP molecule is a novel biomarker, released from cardiac myocytes in response to myocardial stretch, cardio vascular disease, endothelial dysfunction and heart failure. We aimed to test that is elevated NTproBNP levels associated with increased risk of cardiovascular disease in diabetes patients in comparison to matched control. Demographic, anthropometric measure, NT pro BNP, lipid profile, blood glucose were estimated and compared among angiographically proven cardiovascular disease patients with diabetes and healthy controls. Univariate and multivariate analysis were carried out to compare individual factor using t-Test, ANOVA and the inter group comparisons were done by using Bon ferroni Post Hoc test. Patients with type 2 diabetes were shown to have higher NTproBNP values (n=50, 1481.021±813.405) than control subjects (n=50, 23.562±23.395) (p <0.05). NTproBNP levels were independently related to diabetes after adjustment for age, sex, family history, smoking, obesity, blood pressure and lipid profile. Our data suggests that the secretion of NT pro BNP is increased in type II diabetes patients, suggesting association of diabetes and NTproBNP in cardio vascular disease with higher prevalence. Thus NTproBNP may serve as a screening tool to diagnose patients with type II diabetes with cardiovascular disease having complex symptomatology. Keyword: NTproBNP, Cardiovascular disease, Diabetes DOI:10.3329/jom.v11i1.4266 J Medicine 2010: 11: 33-38

scholarly journals Clinical evaluation of an Ayurvedic Formulation in the management of Avaranajanya Madhumeha (Type 2 Diabetes Mellitus)

2019 ◽  
Vol 1 ◽  
pp. 50-64
Author(s):  
DEVASHISH BHARDWAJ ◽  
VEENIT K. AGNIHOTRI ◽  
PRANAV PANDYA
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Blood Sugar ◽  
Type Ii Diabetes ◽  
Type Ii Diabetes Mellitus ◽  
Type Ii ◽  
Research Plan ◽  
Urine Sugar ◽  
Diabetes Patients

A research plan has been developed in the present study to address the problems associated with Avaranajanya Madhumeha (type 2 diabetes). This research plan is based on the treatment methods of Ayurveda (ancient Indian medicine) and utilization of modern scientific methods as research tools. A specific ayurvedic herbo-mineral formulation has been prepared in Ghansatt (solid extract) form; the selected eight herbs and one herbo-mineral have anti-hyperglycemic (PRAMEHA HARA) and antihypercholestermic (MEDOHARA) properties with rejuvenative (RASAYANA) effects as described in classical ayurvedic methods. 15 diagnosed type II diabetes mellitus patients were selected through accidental sampling. Ayurvedic formulation was prescribed to type II diabetes patients for one year along with dietary restrictions. Diabetic diagnostic parameters of these patients like Fasting Blood Sugar (FBS), Post Patrum Blood Sugar (PPBS), Glycocylated Hemoglobin (HbA1C) and Urine Sugar Fasting were monitored every three months; these were measured before and after intervention. The obtained data were statistically analyzed through paired t-test. There was significant reduction in FBS level, PPBS level, HbA1C level and urine fasting sugar level in type 2 diabetes patients who completed the clinical trial successfully. Thus, ayurvedic formulation treatment lead to an overall significant reduction in blood sugar and urine sugar levels in type II diabetes patients. No side effects were noted during the study period. This study suggests that the ayurvedic formulation had very good hypoglycemic effects proved by clinical improvement and bio-chemical analysis of diabetes parameters in the treatment of type II diabetes mellitus.

scholarly journals Diabetes Prediction and Analysis using Machine Learning Methods

2020 ◽  
Vol 9 (6) ◽  
pp. 568-570
Keyword(s):  
Type Ii Diabetes ◽  
Type Ii ◽  
Storage Facility ◽  
Pima Indians ◽  
Machine Learning Methods ◽  
Diabetes Prediction ◽  
Computational Procedures ◽  
Type 2 Diabetic ◽  
Standard Techniques

Different computational procedures and gadgets are open for data examination. At the present time, took the advantages of those open developments to improve the adequacy of the estimate model for the desire for a Type-2 Diabetic Patient. We intend to inquire about how diabetes scenes are impacted by patients' characteristics and estimations. The capable gauge model is required for clinical researchers. Until generally, Type II diabetes was evaluated uncommon in children. The contamination is, nonetheless, creating among youths in peoples with high paces of Type II diabetes in adults. This work presents the adequacy of Gradient Boosted Classifier which is obscure in past current works. It is related to two AI figuring’s, for instance, Neural Networks, Random Forest. These estimations are applied to the Pima Indians Diabetes Database (PIDD) which is sourced from the UCI AI storage facility. The models made are surveyed by standard techniques, for instance, AUC, Recall, and Accuracy. As obvious, Gradient helped classifier clobbers other two classifiers in all introduction qualities.

scholarly journals Dependence of Retinopathy (and other Complications) on Glycaemic Control and on Weight over 5/10 Years from Diagnosis of Type II Diabetes

1996 ◽  
Vol 89 (1) ◽  
pp. 27-30 ◽  
Author(s):  
B J Boucher ◽  
J Tsoumanis ◽  
K Noonan ◽  
J Holmes
Keyword(s):  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Type Ii Diabetes ◽  
Type Ii ◽  
Peripheral Vascular ◽  
Initial Weight ◽  
Weight Fluctuation ◽  
Good Glycaemic Control ◽  
Glycosylated Haemoglobins

Glycosylated haemoglobins and weights were recorded for 200 consecutive diabetic clinic attendere seen yearly for 5 years, 76 of whom were also seen up to 10 years from diagnosis of type 2 diabetes, representing 1380 patient years. Weight fluctuation (≥3 kg) was associated with increased final prevalence of hypertension, macroalbuminaemia and a raised creatinine (P≤ 0.002) but this relationship was abolished by correction for higher initial weight. Average giycaemia over 5/10 years [itself related to initial weight in women on tablets (N=53) but not others, and to waist but not waist/hip ratio], correlated with prevalence and severity of retinopathy (N=200; r=0.38, P≤0.0006) seen also in the subgroup of patients on tablets (N=145, P≤0.006). At HbA1 levels ≥10.5% an increased prevelance of retinopathy was seen in those on insulin (W=37, P≤0.001) and an increased prevalence of peripheral vascular disease was seen in men but not women (x2=2.87, P≤0.01) as well as in the prevalence of neuropathy. These findings suggest that good glycaemic control is of value in type 2 diabetes and less easily achieved in obesity.

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