scholarly journals Utilization Pattern Study Of Oral Antihyperglycemic Drugs In Type 2 Diabetes Mellitus In Diabetic Outpatient Care

2018 ◽  
Vol 4 (2) ◽  
pp. 52-55
Author(s):  
Nitin Purushottam Joglekar ◽  
Purushottam Ramakrishna Joglekar
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Educational Status ◽  
Pharmaceutical Companies ◽  
Prescription Pattern ◽  
Combination Drugs ◽  
Study Population ◽  
Oral Antihyperglycemic Drugs

The Aim of the present study is to analyze prescription pattern of the antihyperglycemic drugs in patients with type 2 diabetes mellitus (T2DM). The study included 620 T2DM out patients aged between 41 to 60 years. Sociodemographic data included mean age, educational status, marital status, duration of diabetes mellitus and BMI. Women (54.8%) shared higher percentage in study population. Metformin (44.1%) was prescribed significantly in higher cases than other antihyperglycemic drugs. Glimepiride (30%) is second most common drug prescribed in monotherapy followed by glibenclamide (9.3%), gliclazide (6.6%) in treatment of T2DM. The prescription pattern study of antihyperglycemic drugs in T2DM can serve as a guide to clinicians to select the monotherapy drug, combination drugs and insulin preparations. The findings of current study also help to the pharmaceutical companies to understand the percentage of utilization of antidiabetic drugs before developing and marketing any new drug.

scholarly journals The Impact of COVID-19 on Diabetes Mellitus and Hypertension: A Retrospective Study

2021 ◽  
pp. 68-77
Author(s):  
S. Pavithra ◽  
S. Lavanya ◽  
P. Vaishnavi ◽  
A. Rakesh Rosario ◽  
Priyadharshini A ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Retrospective Study ◽  
Diabetic Patients ◽  
Hypertensive Patients ◽  
Study Population ◽  
The Impact

COVID-19 is a pathogenic virus that caused a pandemic outbreak in December 2019. The impact of this virus may be severe in the patients having co-morbidities like diabetes, hypertension, Chronic Kidney Disease, cardiovascular disease, etc. Aim and Objectives: This study Aims in Assessing the impact of COVID-19 on Diabetic and Hypertensive patients as well as COVID-19 patients without any co-morbidities. Objective of this is to evaluate the association between COVID-19 and its risk factors (diabetes and hypertension) and to evaluate whether the severity of the symptoms in COVID-19 patients is due to comorbidities or past medications. Methodology: A Retrospective study was conducted in SRM Hospital (Medical Records Department) for a period of 3 Months with the study population 670 at the age group of 25, known case of Diabetes and Hypertension. Cases of Pregnant women are excluded from the study. The patients were grouped into 4 categories 1) control group (patient without any co-morbidities) 2) diabetic patients 3) Hypertensive patient 4) Diabetic+Hypertension patient and studied their prescribing pattern by collecting the past medication history. Results and Discussion: There is a significant decrease in a lymphocyte in covid-19 Type 2 diabetic patients in our study. These results suggest that different mechanism exists for hypertension and diabetes mellitus as risk factors for covid-19. It is also known that these patients have impaired immune response to many infections [30]. In our retrospective study, we collected 670 covid-19 cases. It consists of 12.5% of diabetic patients and 6.6% of hypertensive patients. This study compared COVID-19 patients without any comorbidity (neither Type 2 diabetes mellitus nor hypertension) with covid- 19 patients with comorbidities (Type 2 diabetes mellitus and hypertension). COVID-19 patients with T2DM have an increased level of D-dimer compared to non-T2DM patients. Conclusion: Diabetic and hypertensive patients affected with COVID-19 are low in our study. Out of the total study population, only 12.5% are diabetic, 6.56% are hypertensive, and 9.25% were both diabetic and hypertensive. But when comparing in terms of severity, hypertensive and diabetic patients have severe effects than the control patients. In simpler terms, not every person who has diabetes and hypertension are affected with COVID-19, but those who were affected by COVID-19 showed more severity than the patients who don't have any comorbidities

scholarly journals PREVALENCE OF TYPE 2 DIABETES MELLITUS AND ITS ASSOCIATION WITH SOCIOECONOMIC STATUS IN KANDAHAR CITY: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 21 (3) ◽  
pp. 26-35
Author(s):  
Abdul Wahed Wasiq ◽  
Najibullah Fazli ◽  
Abdul Nasir Ahadi ◽  
Mohammad Zakariya Amirzada ◽  
Mohammad Sami Hayat ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Socioeconomic Status ◽  
Type 2 Diabetes Mellitus ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Study Population

Diabetes mellitus is a chronic disease with a life long duration and generally of gradual progression. Beside the upward trend in the prevalence rate, diabetes and its complications also have a significant economic impact on countries and their health systems. This study was aimed to assess the prevalence of type 2 diabetes mellitus (T2DM) and its association with socioeconomic status (SES) in the urban population of Kandahar city. A population-based cross-sectional study was conducted from January 2019 to May 2019 in the urban area of Kandahar province. A total of 1308 subjects, 837 (64%) women and 471 (36%) men, were included in the study. Data on sociodemographic characteristics, medical history, dietary intake and physical activity were collected in a standardized questionnaire. Diagnosis of diabetes was established according to the WHO criteria. Mean age (SD) was significantly higher in men than in women (50.3 (14.4) vs. 44.9 (11.4) years). The difference in BMI was not significant between men and women (28.1 vs. 28.7 kg/m2). Majority of the study population was aged 40-54 years (46.3%), married (86.7%), illiterate (87.4%), and obese (39%). 6.6% were tobacco smokers, higher in men (13.6%) than in women (2.6%). The prevalence of diabetes mellitus, hypertension, obesity and central obesity was 15.2%, 25.5%, 39%, and 67.1%, respectively. In this study population, it could be suggested that socioeconomic factors are associated with T2DM and socioeconomic status is worth further investigation nationwide to properly understand the role of SES.

scholarly journals Atherogenic index of plasma is associated with major adverse cardiovascular events in patients with type 2 diabetes mellitus

2021 ◽  
Author(s):  
Liyao Fu ◽  
Ying Zhou ◽  
Jiaxing Sun ◽  
Zhaowei Zhu ◽  
Zhenhua Xing ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cardiovascular Events ◽  
Atherogenic Index ◽  
Confounding Factors ◽  
Atherogenic Index Of Plasma ◽  
All Cause Mortality ◽  
Study Population

Abstract Background Previous studies have reported the prognostic value of the atherogenic index of plasma (AIP) in the course of atherosclerosis and other cardiovascular diseases (CVDs). However, the utility of the AIP for prediction is unknown among patients with type 2 diabetes mellitus (T2DM). Methods This was a secondary analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study which randomized 10,251 patients with long-lasting T2DM. ROC curve analysis was used to determine an optimal threshold for AIP and the study population was divided into high and low AIP groups. Univariate and multivariate Cox proportional hazards regression analyses were used to find the association between AIP and primary (MACEs) and second outcomes (all-cause mortality). Stratified analyses were performed to control the confounding factors. Results AIP was an independent risk factor for the prognosis of T2DM (HR = 1.309; 95% CI, 1.084–1.581; P = 0.005). The threshold for AIP was determined to be 0.34 among the study population. After adjustments for confounding factors, multivariate analysis showed that AIP was associated with the risk of MACEs (Model 1: HR = 1.333, 95%CI: 1.205–1.474, P༜0.001; Model 2: HR = 1.171, 95%CI: 1.030–1.333, P = 0.016; Model 3: HR = 1.194, 95%CI: 1.049–1.360, P = 0.007) and all-cause mortality (Model 1: HR = 1.184, 95%CI: 1.077–1.303, P༜0.001), especially cardiovascular deaths (Model 1: HR = 1.422, 95%CI: 1.201–1.683, P༜0.001; Model 3: HR = 1.264, 95%CI: 1.015–1.573, P = 0.036) and nonfatal myocardial infarction (Model 1: HR = 1.447, 95%CI: 1.255–1.669, P༜0.001; Model 2: HR = 1.252, 95%CI: 1.045–1.499, P = 0.015; Model 3: HR = 1.284, 95%CI: 1.071–1.539, P = 0.007). Subgroup stratified analyses showed that AIP might interact with gender, a classical risk factor of cardiovascular events. Conclusions Our study showed that AIP might be a strong biomarker that could be used to predict the risk of cardiovascular events in patients with T2DM.

scholarly journals Study of glycemic gap in hyperglycemic emergencies of type 2 diabetes mellitus

2018 ◽  
Vol 6 (4) ◽  
pp. 1151
Author(s):  
Periyasamy Sivakumar ◽  
Thiyagarajan Manjuladevi Moonishaa ◽  
Neethu George
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Biochemical Parameters ◽  
Plasma Osmolality ◽  
Study Groups ◽  
Hyperosmolar Hyperglycemic State ◽  
Study Population ◽  
The Relationship

Background: Type 2 diabetes mellitus (T2DM) is associated with two serious hyperglycemic emergencies namely Diabetic ketoacidosis (DKA) and Hyperosmolar hyperglycemic state (HHS). The aim of the study was to determine the usefulness of glycemic gap in T2DM patients with DKA and HHS.Methods: T2DM cases above 20 years of age were included in this study. The study population was divided into three broad groups as T2DM without hyperglycemic emergencies, T2DM with DKA, T2DM with HHS, with 50 subjects in each group. Glycemic gap was calculated in the study population and compared between the three groups. The relationship between glycemic gap and the conventional indicators of severity in hyperglycemic emergencies of T2DM were determined.Results: Of the three study groups, T2DM cases with HHS presented with substantial alterations in the baseline biochemical parameters. The glycemic gap was also highly elevated in the HHS cases than the others. Glycemic gap showed significant correlation only with plasma osmolality of the HHS cases.Conclusions: Elevated glycemic gap indicating stress induced hyperglycemia (SIH) occur in hyperglycemic emergencies of T2DM, especially HHS. 

scholarly journals Endothelin-1 Gene Polymorphisms rs5370, rs1476046, and rs3087459 are not Associated with Diabetic Nephropathy in Caucasians with Type 2 Diabetes Mellitus

Folia Medica ◽  
2017 ◽  
Vol 59 (3) ◽  
pp. 261-269 ◽  
Author(s):  
Maja Šeruga ◽  
Stojan Kariž ◽  
Jana Makuc ◽  
Matej Završnik ◽  
Ines Cilenšek ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Nephropathy ◽  
Gene Polymorphisms ◽  
Significant Difference ◽  
Study Population ◽  
Lines Of Evidence

AbstractBackground:Diabetic nephropathy (DN) is a major microvascular complication of type 2 diabetes mellitus (T2DM). Several lines of evidence implicate the endothelin (ET) system in the pathophysiology of DN. The aim of the present study was to analyze if genetic polymorphisms of the ET-1 (EDN1) gene affect susceptibility to DN in Caucasians with T2DM.Materials and methods:The study population consisted of 651 Caucasian subjects with T2DM of more than 10 years’ duration: 276 patients with DN (cases) and 375 patients without evidence of DN (controls). Polymorphisms in ET-1 (EDN1) gene, rs5370, rs1476046, and rs3087459, were studied.Results:Genotype distributions of the studied polymorphisms showed no significant difference between cases and controls.Conclusions:We provide evidence that the rs5370, rs1476046, and rs3087459 polymorphisms ofEDN1gene are not risk factors for DN in Caucasians with T2DM.

scholarly journals Insulin Prescription Pattern among Type 2 DM patients visiting Outpatient Department at a Tertiary Hospital in Kathmandu, Nepal

2018 ◽  
Vol 1 (1) ◽  
pp. 3-7
Author(s):  
Hari Kumar Shrestha ◽  
R. Tamrakar ◽  
Ashish Shrestha ◽  
S.R. Amatya
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Insulin Dose ◽  
Tertiary Hospital ◽  
Premixed Insulin ◽  
Cross Sectional ◽  
Prescription Pattern ◽  
Study Participants

Background: Management of Type 2 Diabetes Mellitus includes nonpharmacological and pharmacological interventions of which insulin remains one of the most effective methods for achieving glycemic control, either alone or in combination with oral anti-diabetic medications. Effective usage of insulin in the management of glycaemia remains a challenge in developing countries like Nepal. To best of our knowledge, there is not any study regarding insulin prescription pattern on Type 2 Diabetes Mellitus patients using insulin from Nepal, so we studied the prescription pattern of insulin on insulin using Type 2 Diabetes Mellitus patients.Methods: Patients aged 30 years or above who present in Dhulikhel Hospital outpatient clinic during the period from January 2015 to June 2015 with diagnosis of Type 2 Diabetes Mellitus diagnosed at least for 6 months and were taking injection insulin at least since last 3 months were enrolled in this cross sectional, observational study.Results: Forty-five study participants had a mean age of 56.6 ±10.95 year, body mass index of 23.97 4.72 kg/m2, Diabetic duration of 10.33 6.41 years and HbA1c of 8.53 ±1.53%. Fifty-three percent were female and almost all study participants (96%) were taking Oral Antidiabetic Drugs along with Insulin. Sixty-three percent of participants were using Premix insulin whereas 33% were using basal insulin alone. Mean Insulin dose was 28.96 11.75 units per day. Among them, 80% were “self” injecting insulin and 53% were using Glucometer.Conclusion: Our data showed that premixed insulin being most commonly used insulin. All patients used Insulin Pen as delivery device and larger proportions of them were self injecting insulin. All patients felt mild hypoglycemia which can be improved by increased utilization of glucometer.Jour of Diab and Endo Assoc of Nepal 2017; 1(1): 3-7

scholarly journals Revisiting: “prevalence of and factors associated with sarcopenia among multi-ethnic ambulatory older Asians with type 2 diabetes mellitus in a primary care setting”

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xueting Li ◽  
Fengqiang Xu ◽  
Longgang Hu ◽  
Hao Fang ◽  
Yi An
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Older Patients ◽  
Care Setting ◽  
Single Center ◽  
Single Center Study ◽  
Study Population ◽  
Center Study

Abstract Background Sarcopenia is an age-related clinical syndrome characterized by loss of muscle mass and reduced muscle function. Diseases that contribute to sarcopenia include type 2 diabetes mellitus (T2DM), chronic obstructive pulmonary disease (COPD), heart failure, chronic kidney disease, and cancer and others. Fung FY et al. (BMC Geriatrics. 2019;19(1):122) conducted a single-center study aimed to determine the prevalence of sarcopenia among older patients with T2DM and to identify factors which mitigate sarcopenia. Their study entitled “Prevalence of and factors associated with sarcopenia among multi-ethnic ambulatory older Asians with type 2 diabetes mellitus in a primary care setting” suggested that the prevalence of sarcopenia in older patients with T2DM was 27.4%, and that Chinese ethnicity was associated with a greater risk of sarcopenia in the study population. Discussion Deficiency in scientific research and analysis of other diseases associated with sarcopenia such as COPD, may contribute to misestimation of the prevalence of sarcopenia in older patients with T2DM. We are concerned that the conclusions of this single-center study with a small study population might be unreliable. Summary The prevalence of sarcopenia in older patients with T2DM in a single-center study with a small sample size may be misestimated due to the lack of strict exclusion criteria and detailed analysis of other diseases that contribute to sarcopenia. In addition, it is inappropriate to draw the conclusion that Chinese ethnic group was associated with a greater risk of sarcopenia among the study population.

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