scholarly journals Assessment of drug utilization pattern and risk factors for the development of diabetic neuropathy among type 2 diabetic patients in a south Indian hospital: A cross-sectional observational study

2019 ◽  
Vol 9 (12) ◽  
pp. 69-77
Keyword(s):  
Risk Factors ◽  
Observational Study ◽  
Diabetic Neuropathy ◽  
Diabetic Patients ◽  
Utilization Pattern ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
South Indian ◽  
Type 2 Diabetic

scholarly journals A cross-sectional observational study on drug utilisation pattern, prevalence and risk factors for the development of diabetic nephropathy among type 2 diabetic patients in a south indian tertiary care hospital

2020 ◽  
Vol 11 (1) ◽  
pp. 93-108
Author(s):  
Madhavi Mannam ◽  
Lavanya Nalluri ◽  
Dhanalakshmi Pinnika ◽  
Mounika Pothuraju ◽  
Ravindrababu Pingili ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diabetic Nephropathy ◽  
Tertiary Care ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
South Indian ◽  
Type 2 Diabetic

Diabetic nephropathy is the leading cause of the end-stage renal disease (ESRD) worldwide, and it is estimated that ~ 20% of type 2 diabetic patients reach ESRD during their lifetime. The objective of the present study was to assess the drug utilization pattern, risk factors, and prevalence of diabetic nephropathy in patients with type 2 diabetes mellitus in a south Indian tertiary care hospital. A cross-sectional observational study was conducted on 613 subjects (254 with and 359 without diabetic nephropathy). Prevalence of diabetic nephropathy was measured, and risk factors for the development of diabetic nephropathy were determined by calculating odds ratios using graph-pad prism statistical software, and drug utilization pattern was assessed. Nephropathy was significantly higher in subjects who are married (98.8%, OR, 3.903; 95% CI, 1.125-13.54, P=0.0211),  poorly educated (61%, OR, 0.3670;95%CI, 0.2635-0.5112, P<0.0001), house wives (44.4%, OR, 0.5492; 95% CI, 0.3432 - 0.8789, P=0.0120), rural residents (51.2%, OR, 0.3943; 95% CI, 0.2820-0.5513, P<0.0001) and risk factors were hypertension (37.44%, OR, 4.131; 95% CI, 2.687-6.350, P<0.0001), other diseases (36.51%, OR, 4.963; 95% CI, 3.202 -7.692, P<0.0001), Endocrine diseases (9.53%, OR, 2.460; 95% CI, 1.433- 4.224, P=0.0009), history of CVD (7.90%, OR, 17.20; 95% CI, 7.049- 41.95, P<0.0001), HbA1c (36.1%, OR, 3.380; 95% CI, 2.157- 5.295, P<0.0001), low HDL (23%, OR, 0.5961; 95% CI, 0.3572 - 0.9947 , P=0.0470), high FBS levels (29.3%, OR, 6.111; 95%CI, 1.283 -29.10, P=0.0113), high triglyceride levels (39.8%, OR, 0.6077; 95%CI, 0.3878 -0.9523, P=0.0293), high serum creatinine (28.3%, OR, 154.3; 95% CI, 37.92- 627.7, P<0.0001), duration of T2DM(5-10years 39.8%, OR, 2.653;95% CI, 1.778 - 3.958, & > 10 years 37%, OR, 3.606 ; 95% CI, 2.362-5.504, P<0.0001), physical inactivity(64.9%, OR, 0.5188;95% CI, 0.3727-0.7220 , P<0.0001), soft drinks occasionally (31.9%, OR, 2.253; 95% CI, 1.531-3.315, P<0.0001), habit of taking tea /coffee twice without sugar(42.3%, OR, 1.845; 95% CI, 1.094 to 3.112, P=0.0208) were significant risk factors for development of nephropathy. Metformin (47.05%), a combination of Glimepiride and Metformin (30.71%), a combination of insulin isophane and insulin regular (29.41%), teneligliptin (10.45%), insulin regular (9.80%) were the anti-diabetic medications mostly given to the T2DM patients with nephropathy. The present study revealed that the risk factors for the development of diabetic nephropathy were multiple.

Assessment of Circulating Biomarkers in Relation to Various Stages of Diabetic Retinopathy in Type 2 Diabetic Patients-A Cross Sectional Study

2020 ◽  
Vol 16 (4) ◽  
pp. 402-409 ◽  
Author(s):  
Nalini Mathala ◽  
Annapurna Akula ◽  
Sharat Hegde ◽  
Raghava Bitra ◽  
Virender Sachedev
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Cross Sectional Study ◽  
Tnf Alpha ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Type 2 Diabetic

Aim: The aim of this study is to examine the relationship between inflammatory markers, and diabetic retinopathy in type II diabetic patients. Methods: The study was a cross-sectional study included 150 type 2 diabetic patients who were divided into 3 groups. 50 in each group are divided as Diabetic patients without retinopathy (DM, n=50), nonproliferative diabetic retinopathy patients (NPDR, n=50), proliferative diabetic retinopathy patients (PDR, n=50). All the patients were subjected to complete clinical examination and laboratory investigations, such as fasting and postprandial blood glucose, serum creatinine, lipid profile tests, glycosylated haemoglobin (HbA1c), fasting insulin, serum inflammatory markers (TNF-alpha, C-reactive protein) and serum VEGF. Results: The study revealed from the multivariate analysis that age, duration and WHR (waist-hip ratio) are potent risk factors responsible for the risk of Diabetic retinopathy. Similarly, serum creatinine, CRP, TNF- alpha and VEGF are significantly higher in diabetic patients with retinopathy compared to diabetic patients without retinopathy. Conclusion: The study concluded that inflammation was associated with severe diabetic retinopathy in patients with well-controlled diabetes. A possible relationship was provided between the risk factors and biomarkers which are responsible for Diabetic retinopathy. Hence, modifying the risk factors risk and development of severe diabetic retinopathy can be reduced.

Incidence and risk factors of hypoglycemia among Type 2 diabetic patients in a South Indian hospital

2016 ◽  
Vol 10 (2) ◽  
pp. S22-S25 ◽  
Author(s):  
Vikas PV ◽  
Abin Chandrakumar ◽  
C. Dilip ◽  
T.N.K. Suriyaprakash ◽  
Levin Thomas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
South Indian ◽  
Type 2 Diabetic

Incidence of Diabetic Foot and Associated Risk Factors in Type 2 Diabetic Patients: A Five-year Observational Study

2009 ◽  
Vol 33 (4) ◽  
pp. 315 ◽  
Author(s):  
Shin-Ae Park ◽  
Seung-Hyun Ko ◽  
Seung-Hwan Lee ◽  
Jae-Hyoung Cho ◽  
Sung-Dae Moon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Observational Study ◽  
Diabetic Foot ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Associated Risk Factors ◽  
Type 2 Diabetic

scholarly journals Relative Fat Mass, a new tool for measuring obesity, could predict the complications of type 2 diabetes

2021 ◽  
Vol 5 (3) ◽  
pp. 01-08
Author(s):  
Isabelle Jambart
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Diabetic Neuropathy ◽  
Fat Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

Aim/background: Obesity is a chronic disease contributing to many metabolic illnesses, in particular type 2 diabetes. The Relative Fat Mass (RFM) is a tool recently introduced for obesity which better predicts the level of visceral fat than the Body Mass Index (BMI). The aim of this study is to determine whether RFM is a better predictor of the cardiometabolic risk factors and the complications of type 2 diabetes than BMI. Materials and methods: This is a cross sectional study. A list of information was collected from endocrinologists treating type 2 diabetic patients in a primary healthcare clinic and a tertiary hospital in Beirut. This list allowed us to evaluate the micro and macro vascular complications of type 2 diabetic patients, to assess their risk factors and to calculate their RFM and BMI. Results: We analyzed the data of 359 patients. Higher RFM was associated with higher systolic blood pressure (p < 0.05), and both RFM and BMI were significantly correlated to higher CRP, triglyceride levels and liver enzymes. However, the BMI was better associated with other cardiometabolic risk factors such as the total cholesterol (p = 0,003), LDL cholesterol (p = 0,002) and HbA1c (p = 0,01) than RFM. Both RFM and BMI were correlated with higher microalbuminuria (p < 0.001) but unlike BMI, higher RFM was associated with higher creatinine level (p = 0.317 versus 0.047 respectively) and therefore better linked to diabetic nephropathy than BMI. More importantly, we observed an unprecedented result, associating RFM to diabetic neuropathy: a normal RFM excludes diabetic neuropathy with a high probability of 82.5%. Furthermore, a RFM cutoff value of 30.76 in men and 43.31 in women showed an increased risk of developing diabetic neuropathy by 2.464. No association was observed between RFM and diabetic retinopathy. Conclusion: The RFM better predicts microvascular complications of diabetes than BMI except for retinopathy. It is also associated with a worse profile of metabolic syndrome. This study is unique in its discovery of the potential role of RFM as a tool which could rule out neuropathy in diabetic patients.

scholarly journals Prevalence of Metabolic Syndrome in Type 2 Diabetic Patients

2020 ◽  
Author(s):  
Tina Uprety ◽  
Saroj Kunwar ◽  
Soumya Harsha Gurung ◽  
Shraddha Thapa ◽  
Sanjita Shrestha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Technical College ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Factors Associated ◽  
Type 2 Diabetic

Abstract ObjectiveMetabolic syndrome and diabetes mellitus concurrently potentiates a number of risk factors, significantly higher prevalence of cardiovascular diseases. Numerous risk factors associated with diabetes gets intensified by the presence of metabolic syndrome. Diabetes and metabolic syndrome together can increase the risk of cardiovascular disease by 2 to 4 folds. The main objective of this study was to determine the prevalence of MetS in Type 2 Diabetic patients. Components of metabolic syndrome were measured and compared to determine the prevalence. Hospital based cross-sectional study was conducted from September 2019 to December 2019 at Star hospital and Modern Technical College, Sanepa, Nepal. A total number of 353 patients with type 2 diabetes visiting Star Hospital were included in the study. ResultsAmong 353 participants, metabolic syndrome was diagnosed in 242 (68.5%) participants using NCEP-ATPIII criteria. The prevalence of MetS was 68.5% among which male were 123 (76.3%) and female were 119 (61.9%). MetS was found to be highest in age group of 50-59 years with 34.2% (83) participants. Dyslipidemia with raised TG 71.4% and reduced HDL 76% was found to be most prevalent component in our study followed by hypertension 73.1%.

scholarly journals Relative Fat Mass, a new tool for measuring obesity, could predict the complications of type 2 diabetes

2021 ◽  
Vol 5 (3) ◽  
pp. 01-08
Author(s):  
Isabelle Jambart
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Diabetic Neuropathy ◽  
Fat Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Type 2 Diabetic

Aim/background: Obesity is a chronic disease contributing to many metabolic illnesses, in particular type 2 diabetes. The Relative Fat Mass (RFM) is a tool recently introduced for obesity which better predicts the level of visceral fat than the Body Mass Index (BMI). The aim of this study is to determine whether RFM is a better predictor of the cardiometabolic risk factors and the complications of type 2 diabetes than BMI. Materials and methods: This is a cross sectional study. A list of information was collected from endocrinologists treating type 2 diabetic patients in a primary healthcare clinic and a tertiary hospital in Beirut. This list allowed us to evaluate the micro and macro vascular complications of type 2 diabetic patients, to assess their risk factors and to calculate their RFM and BMI. Results: We analyzed the data of 359 patients. Higher RFM was associated with higher systolic blood pressure (p < 0.05), and both RFM and BMI were significantly correlated to higher CRP, triglyceride levels and liver enzymes. However, the BMI was better associated with other cardiometabolic risk factors such as the total cholesterol (p = 0,003), LDL cholesterol (p = 0,002) and HbA1c (p = 0,01) than RFM. Both RFM and BMI were correlated with higher microalbuminuria (p < 0.001) but unlike BMI, higher RFM was associated with higher creatinine level (p = 0.317 versus 0.047 respectively) and therefore better linked to diabetic nephropathy than BMI. More importantly, we observed an unprecedented result, associating RFM to diabetic neuropathy: a normal RFM excludes diabetic neuropathy with a high probability of 82.5%. Furthermore, a RFM cutoff value of 30.76 in men and 43.31 in women showed an increased risk of developing diabetic neuropathy by 2.464. No association was observed between RFM and diabetic retinopathy. Conclusion: The RFM better predicts microvascular complications of diabetes than BMI except for retinopathy. It is also associated with a worse profile of metabolic syndrome. This study is unique in its discovery of the potential role of RFM as a tool which could rule out neuropathy in diabetic patients.

scholarly journals Fasting Insulin Levels and Metabolic Risk Factors in Type 2 Diabetic Patients at the First Visit in Japan: A 10-year, nationwide, observational study (JDDM 28)

Diabetes Care ◽  
2012 ◽  
Vol 35 (9) ◽  
pp. 1853-1857 ◽  
Author(s):  
I. Matsuba ◽  
K. Saito ◽  
M. Takai ◽  
K. Hirao ◽  
H. Sone ◽  
...  
Keyword(s):  
Risk Factors ◽  
Observational Study ◽  
Diabetic Patients ◽  
Metabolic Risk ◽  
Fasting Insulin ◽  
Type 2 Diabetic Patients ◽  
Insulin Levels ◽  
Nationwide Observational Study ◽  
Type 2 Diabetic
Sign in / Sign up

Export Citation Format

Share Document