scholarly journals Suboptimal glycemic control among subjects with diabetes mellitus in India: a subset analysis of cross-sectional wave-7 (2016) data from the International Diabetes Management Practices Study (IDMPS)

2020 ◽  
Vol 11 ◽  
pp. 204201882093721
Author(s):  
Ambady Ramachandran ◽  
Sunil M. Jain ◽  
Sagarika Mukherjee ◽  
Sanjeev Phatak ◽  
Shailesh Pitale ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Control ◽  
Management Practices ◽  
Diabetes Management ◽  
Diabetes Education ◽  
Glycated Haemoglobin ◽  
Oral Glucose ◽  
Eligibility Criteria ◽  
Cross Sectional ◽  
Glycemic Targets

Objective: To assess the real-world management practices of subjects with type 2 diabetes mellitus (T2DM) and type 1 diabetes mellitus (T1DM) in India. Methods: This cross-sectional study was conducted between 7 March 2016 and 15 May 2016 in India as part of the seventh wave (2016) of the International Diabetes Management Practices Study (IDMPS). Adult subjects with T1DM or T2DM visiting physicians during a 2-week recruitment period were included. Results: A total of 55 physicians included 539 subjects who met eligibility criteria. Of 495 subjects with T2DM, 303 were treated with oral glucose lowering drugs (OGLDs) only, 158 were treated with OGLD + insulin, and 27 received insulin only. Among 44 subjects with T1DM receiving insulin, 13 (29.5%) were also treated with OGLD therapy. The most commonly used insulin regimens were basal alone (69/184; 37.5%) and premixed alone (63/184; 34.2%) in subjects with T2DM, and basal + prandial insulin (24/44; 54.5%) in subjects with T1DM. Proportions of subjects achieving glycemic targets were low [glycated haemoglobin (HbA1c) <7%: T1DM = 7.3% (3/44), T2DM = 25.2% (106/495); as targeted by the treating physician: T1DM = 31.8% (14/44), T2DM = 32.1% (59/185); global target: T1DM = 4.8% (2/42) and T2DM = 1.7% (8/482)]. In subjects with T2DM, HbA1c <7% was noted in 11/22 subjects receiving insulin only and 76/260 receiving only OGLDs. Lack of experience in self-managing insulin dosing, poor diabetes education and failure to titrate insulin dosages were the main reasons for non-achievement of glycemic targets. Conclusion: Timely insulinization, education and empowerment of people with diabetes may help improve glycemic control in India.

scholarly journals Risk-based diabetes screening in a Hungarian general practice: comparison of laboratory methods and diagnostic criteria

2021 ◽  
Vol 22 ◽  
Author(s):  
Henrietta Galvács ◽  
János Szabó ◽  
Zoltán Balogh
Keyword(s):  
Diabetes Mellitus ◽  
High Risk ◽  
Glycated Haemoglobin ◽  
Diabetes Risk ◽  
Oral Glucose ◽  
Cross Sectional ◽  
Life Years ◽  
Increased Risk ◽  
Significant Difference ◽  
Haemoglobin Test

Abstract Aim: Aim of cross-sectional study was to survey the risk of diabetes mellitus in a severely disadvantaged Hungarian community and then to use laboratory tests to screen for potential carbohydrate metabolism disorders among those in the moderate- and high-risk groups. Background: The prevalence of diabetes mellitus shows a worrisome trend worldwide. Low socio-economic status significantly affects the development of diabetes, healthy life years and life expectancy. Method: Diabetes risk of the population was surveyed with the FINDRISC (Finnish Diabetes Risk Score) questionnaire, followed by oral glucose tolerance test (OGTT) and glycated haemoglobin test of moderate- and high-risk patients. Findings: In sample of 551 subjects, moderate or high risk for diabetes was confirmed in 147 patients (26.68%). There was significant correlation between increased risk and age (P < 0.001) and between increased risk and body mass index (P < 0.001). Significant difference was confirmed between incidences for disease based on the results of OGTT and glycated haemoglobin test when two different criteria systems were used. Age was the strongest predictor of pre-diabetes/diabetes (P = 0.016). The presence of metabolic syndrome increased the level of glycated haemoglobin by an average of 0.2% in normal glycemic status.

scholarly journals Clinical Features, Biochemical Profile, and Response to Standard Treatment in Lean, Normal-Weight, and Overweight/Obese Indian Type 2 Diabetes Patients

2021 ◽  
Vol 17 (2) ◽  
pp. 68-74
Author(s):  
Ahmad Faraz ◽  
Hamid Ashraf ◽  
Jamal Ahmad
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Diabetes Management ◽  
Normal Weight ◽  
Cross Sectional ◽  
Northern India

BACKGROUND: Much evidence is available on the relationship between type 2 diabetes mellitus (T2D) and obesity, but less on T2D in lean individuals. AIM: This study was conducted in 12,069 T2D patients from northern India to find out which clinical and biochemical features are related to lean, normal weight, and overweight/obese T2D patients. METHODS: The study was conducted at two endocrine clinics in northern India as a retrospective cross-sectional study. The records of all patients who attended these clinics from January 2018 to December 2019 were screened. After screening 13,400 patients, 12,069 were labelled as type 2 diabetes mellitus according to the criteria of the American Diabetes Association, 2020, and were included in the study. The patients were subdivided into the three groups by their body mass index (BMI): lean (BMI < 18), normal weight (BMI = 18-22.9), overweight/obese (BMI ≥ 23). The study evaluated how the three subgroups responded to standard diabetes management, including antidiabetic medication and lifestyle interventions. RESULTS: Of a total of 12,069 patients 327 (2.7%) were lean, 1,841 (15.2%) of normal weight, and 9,906 (82.1%) overweight/obese. Lean patients were younger, but had more severe episodes of hyperglycemia. All three subgroups experienced significant improvements in glycemic control during follow-up; HbA1c values were significantly lowered in the overweight/obese group during follow-up compared with baseline. CONCLUSIONS: While overweight/obese patients could benefit from the improvements in glycemic control achieved by lowering HbA1c, lean and normal-weight patients had more severe and difficult-to-control hyperglycemia.

Poor Glycemic Control in People with T1D and T2D—Results from the International Diabetes Management Practices Study (IDMPS)

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1656-P ◽  
Author(s):  
PABLO ASCHNER ◽  
JUAN J. GAGLIARDINO ◽  
HASAN M. ILKOVA ◽  
FERNANDO J. LAVALLE-GONZALEZ ◽  
AMBADY RAMACHANDRAN ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Management Practices ◽  
Diabetes Management ◽  
Poor Glycemic Control

Correlation of Glycemic Control Parameters in Non-Diabetic Persons with Cardiovascular Risk Scores - Results from a Cross- Sectional Study

2017 ◽  
Vol 68 (1) ◽  
pp. 108-110
Author(s):  
Gina Botnariu ◽  
Norina Forna ◽  
Alina Popa ◽  
Raluca Popescu ◽  
Alina Onofriescu ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Glycemic Control ◽  
Tolerance Test ◽  
Cross Sectional Study ◽  
Risk Scores ◽  
Oral Glucose ◽  
Cross Sectional ◽  
University Of Edinburgh ◽  
Fasting Glycaemia ◽  
The University

To assess the correlation between main parameters of glycemic control and cardiovascular risk scores in non-diabetic persons. Risk scores were calculated by using the University of Edinburgh Risk Calculator. Risk scores are used to estimate the probability of cardiovascular disease in individuals who have not already developed major atherosclerotic disease. We correlated the results of these scores with the parameters that describes the glycaemic profile: preprandial glicaemia, HbA1c and 1 hour and 2 h post-prandial glycaemia, determined during Oral Glucose Tolerance Test (OGTT).Both fasting glycaemia and HbA1c significantly correlated with cardiovascular risk scores calculated for a period of 10 years. The recorded post-prandial glycaemic values at 1h and 2h after glucose loading didn�t significantly correlate with calculated scores, in the study group. The observed correlations underline the importance of glycaemia in the pathogenesis of cardiovascular diseases.

scholarly journals Glycemic control associated factors in type 1 diabetes mellitus patients: a cross sectional study

2015 ◽  
Vol 7 (S1) ◽  
Author(s):  
Patrícia Ramos Guzatti ◽  
Amely PS Balthazar ◽  
Maria Heloisa Busi da Silva Canalli ◽  
Thais Fagnani Machado
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Diabetes and Frail Older Patients: Glycemic Control and Prescription Profile in Real Life

Pharmacy ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 115
Author(s):  
Anne-Sophie Mangé ◽  
Arnaud Pagès ◽  
Sandrine Sourdet ◽  
Philippe Cestac ◽  
Cécile McCambridge
Keyword(s):  
Glycemic Control ◽  
Older Patients ◽  
Diabetes Management ◽  
Real Life ◽  
Cross Sectional ◽  
Glucose Lowering ◽  
Frailty Status ◽  
Frail Patients ◽  
Patients With Diabetes ◽  
Hba1c Target

(1) Background: The latest recommendations for diabetes management adapt the objectives of glycemic control to the frailty profile in older patients. The purpose of this study was to evaluate the proportion of older patients with diabetes whose treatment deviates from the recommendations. (2) Methods: This cross-sectional observational study was conducted in older adults with known diabetes who underwent an outpatient frailty assessment in 2016. Glycated hemoglobin (HbA1c) target is between 6% and 7% for nonfrail patients and between 7% and 8% for frail patients. Frailty was evaluated using the Fried criteria. Prescriptions of glucose-lowering drugs were analyzed based on explicit and implicit criteria. (3) Results: Of 110 people with diabetes with an average age of 81.7 years, 67.3% were frail. They had a mean HbA1c of 7.11%. Of these patients, 60.9% had at least one drug therapy problem in their diabetes management and 40.9% were potentially overtreated. The HbA1c distribution in relation to the targets varied depending on frailty status (p < 0.002), with overly strict control in frail patients (p < 0.001). (4) Conclusions: Glycemic control does not seem to be routinely adjusted to the health of frail patients. Several factors can lead to overtreatment of these patients.

scholarly journals Adherence to medication among Tunisian adults with type 2 diabetes

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A Amara ◽  
R Ghammem ◽  
N Zammit ◽  
S BenFredj ◽  
J Maatoug ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
University Hospital ◽  
Health Concern ◽  
Eligibility Criteria ◽  
Cross Sectional ◽  
Adherence To Medication

Abstract Introduction Diabetes mellitus is a growing public health concern. Despite compelling evidence about the effectiveness of medications, studies have indicated that less than 50% of patients achieved therapeutic targets. The aim of this study was to assess the adherence to type 2 diabetes mellitus treatment and its determinants. Methods A cross-sectional study was conducted between April and June 2017 in the Endocrinology and internal medicine departments of Farhat Hached University Hospital in Sousse, Tunisia. A convenient sample of patients who fulfilled the eligibility criteria was recruited. A pre-tested questionnaire was used to gather information. This was followed by assessing patients' adherence to diabetes medications using the eight-item Morisky Medication Adherence Scale (MMAS-8). Results A total of 330 patients with Type 2 Diabetes Mellitus participated in this study. The mean ±SD age of patients was 58.96±10.3 with female predominance (60.3%). More than half of participants were with high cardiovascular risk. In most cases (70.6 %), participants were moderate adherent. Results showed that patients become non-adherent as the disease gets older (p = 0.001). In addition patients with health insurance were significantly more adherent comparing to those who did not have it (p = 0.01). Regarding self-care practices and other metabolic risk factors' effects, our data revealed that exercising 30 minutes below than 5 times in week and poor self-management of diet were associated with low adherence (p &lt; 10-3). On the other hand, patients who have started insulin therapy were less adherent than those who had not yet (0.01). Patients with diabetic retinopathy or maculopathy were significantly more prone to be non- adherent, with respective percentage of 39.1% and 37.5%. Conclusions This study provides insights into the determinants of non-adherence, ultimately guiding the effective interventions through development of structured long-term policies not yet implemented. Key messages In most cases (70.6 %), participants were moderate adherent. Patients with diabetic retinopathy or maculopathy were significantly more prone to be non- adherent.

scholarly journals Comparison of Venous and Capillary Sampling in Oral Glucose Testing for the Diagnosis of Gestational Diabetes Mellitus: A Diagnostic Accuracy Cross-Sectional Study Using Accu-Chek Inform II

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1011
Author(s):  
Sofia Nevander ◽  
Eva Landberg ◽  
Marie Blomberg ◽  
Bertil Ekman ◽  
Caroline Lilliecreutz
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Oral Glucose ◽  
Sectional Study ◽  
Cross Sectional ◽  
Capillary Sampling

Gestational diabetes mellitus (GDM) is a common complication with negative impacts on mother and child. The primary aim of this study was to examine whether plasma glucose cutoffs for GDM diagnosis based on venous sampling can be replaced by cutoffs based on capillary sampling. A prospective cross-sectional study was performed at an antenatal care clinic including 175 pregnant women undergoing an oral glucose tolerance test (OGTT). Duplicate samples were collected by capillary and venous puncture while fasting and 1 h and 2 h after an OGTT. Both samples were analyzed on Accu-Chek Inform II. The cutoffs for a GDM diagnosis using capillary samples were corrected from 5.1 to 5.3 mmol/L for the fasting sample, from 10.0 to 11.1 mmol/L for the 1 h sample, and from 8.5 to 9.4 mmol/L for the 2-h sample using half of the dataset. Applying these cutoffs to the remaining dataset resulted in a sensitivity, specificity, and accuracy of 85.0%, 95.0%, and 90.3%, respectively, with a positive predictive value (PPV) of 83%, an negative predictive value (NPV) of 96%, and a positive negative likelihood ratio (LHR) of 16.4 using capillary sampling for the GDM diagnosis at fasting and 2-h after. Corrected cutoffs and capillary samples can be used for the diagnosis of GDM with maintained diagnostic accuracy using Accu-Chek Inform II.

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