Assessment of baseline characteristics, glycemic control and oral antidiabetic treatment in Asian patients with diabetes: The Registry for Assessing OAD Usage in Diabetes Management (REASON) Asia study (在亚洲糖尿病患者中评估基线特征、血糖控制情况以及口服降糖药物使用情况：使用登记表评估糖尿病治疗中口服药使

2013 ◽  
Vol 5 (3) ◽  
pp. 309-318 ◽  
Author(s):  
Apichati Vichayanrat ◽  
Bien J. Matawaran ◽  
Aris Wibudi ◽  
Hossain S. Ferdous ◽  
Azizul Hasan Aamir ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Diabetes Management ◽  
Asian Patients ◽  
Antidiabetic Treatment ◽  
Oral Antidiabetic ◽  
Patients With Diabetes ◽  
Baseline Characteristics

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 Indian consensus on durability of glycemic control in type 2 diabetes management and role of oral antidiabetic drugs

2021 ◽  
Vol 9 (12) ◽  
pp. 3745
Author(s):  
Manoj Chawla ◽  
Pramila Kalra ◽  
A. K. Khanna ◽  
Sisir Kumar Mahapatro
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Combination Therapy ◽  
Diabetes Management ◽  
Antidiabetic Drugs ◽  
Oral Antidiabetic Drugs ◽  
Related Factors ◽  
Oral Antidiabetic

The prevalence of type 2 diabetes mellitus (T2DM) is increasing in an alarming way in India as well as across the globe. In order to minimize complications, there is a need to maintain good glycemic control in patients with T2DM and long-term durable glycemic control remains a challenge. Clinically, this challenge was addressed by step-wise intensification of therapy with additional antidiabetic drugs to maintain glycemic control. Various disease and patient-related factors as well as different antidiabetic agents influenced the durability of glycemic control differently. While understanding of the factors that influenced therapeutic outcomes had evolved, there was paucity of information about the durability of glycemic control and the role of oral antidiabetic drugs (OADs) in achieving it. With an objective to understand the role of durability of glycemic response in the management of Indian patients with T2DM, 4 advisory board meetings attended by 48 physicians from across the country were conducted in Mumbai, Delhi, Kolkata and Bengaluru. There was consensus to consider durability of glycemic control as an important goal in the management of T2DM. Personalized approach in T2DM management along with early initiation of dual combination therapy were recommended to achieve durability. Age group of patients, body mass index, glycated hemoglobin levels at diagnosis, presence or absence of comorbidities and complications are important factors that need to be considered before initiating dual combination therapy for patients with T2DM.

Cognitive functions and glycemic control in children and adolescents with type 1 diabetes

2009 ◽  
Vol 40 (1) ◽  
pp. 95-103 ◽  
Author(s):  
S. Ohmann ◽  
C. Popow ◽  
B. Rami ◽  
M. König ◽  
S. Blaas ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Metabolic Control ◽  
Child Behavior Checklist ◽  
Diabetes Management ◽  
Social Activity ◽  
Self Report ◽  
Patients With Diabetes

BackgroundThe relationship between metabolic control and cognitive function in adolescents with type 1 diabetes (DM type 1) is not clear. We compared the quality of glycemic control (GC) and cognitive measures in adolescents with DM type 1 to find out if the quality of diabetes management is related to cognitive impairment.MethodWe assessed executive functions (EFs) and other neuropsychological and psychosocial variables in 70 adolescent patients with DM type 1 and 20 age-matched controls. Patients were divided into two groups according to their last hemoglobin A1c (HbA1c): acceptable (HbA1c 5.9–8.0%, mean 6.9%, 36 patients, mean age 14 years) and non-optimal (HbA1c 8.2–11.6%, mean 9.3%, 34 patients, mean age 15.6 years).ResultsWe found impaired EFs, mainly problems of concept formation (p=0.038), cognitive flexibility (p=0.011) and anticipation (p=0.000), in the patients with DM type 1. Both groups did not differ in intelligence, most assessed EFs and adjustment to chronic illness (Youth Self-Report; YSR). Younger patients (<15 years) were cognitively less flexible. GC was worse in older patients and in patients with longer duration of the disease. We also found significant differences between patients with diabetes and controls concerning somatic complaints, internalizing problems (Child Behavior Checklist; CBCL) and social activity (CBCL and YSR).ConclusionsDM type 1 is associated with cognitive deficits in adolescents independent of the quality of metabolic control and the duration of the disease. These deficits are probably related to the disease, especially in patients with early-onset diabetes.

scholarly journals The Status of Metabolic Control in Patients With Diabetes Attending Primary Care Clinics in Madinah, Saudi Arabia

2021 ◽  
Author(s):  
Eman Mohammed ALFADHLI ◽  
Ghada Mohamed SOBHY ◽  
Ruqaya Saleh MASOUD ◽  
Yaseera Ali GADI ◽  
Amal Mohammed Surrati ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Primary Care ◽  
Saudi Arabia ◽  
Glycemic Control ◽  
Metabolic Control ◽  
Diabetes Management ◽  
Diabetes Duration ◽  
Diabetic Patients ◽  
Primary Care Clinics ◽  
Patients With Diabetes

Abstract OBJECTIVE: Comprehensive control of diabetes and its related comorbidities is essential to avoid diabetes complications and reduce diabetes care expenses. Nevertheless, several reports have uncovered the gap in diabetes management and confirmed the suboptimal glycemic control globally. This study aims to assess the metabolic control among patients with diabetes attending primary care clinics (PCCs) in Madinah, Saudi Arabia. METHODS: A cross-sectional study was conducted at 15 PCCS in Madinah, Saudi Arabia. Consecutive 692 adult diabetic patients who attended the clinics between January 2016 to December 2017 were included. The primary outcome measures were achieving blood glucose, blood pressure, and lipids goals. The achievement of adequate metabolic control followed the American diabetes association (ADA) guidelines. RESULT: Majority (98%) of the patients had type 2 diabetes (T2DM) with a mean age of 55.1±11.6 years and a mean diabetes duration of 11.02±7.8 years. The mean HbA1c was 8.39±1.7, and glycemic goals (HbA1C < 7%) were achieved in 15.7%. Achievement of LDL, triglyceride, and HDL goals were as follow; 46.4%. 53.3%, 70.8%, respectively. 66.3% of subjects achieved systolic blood pressure, and 88.7% achieved diastolic blood pressure goals. Younger age, longer diabetes duration, and higher LDL levels were associated with poor glycemic control. CONCLUSION: Glycemic control is inadequate among patients with diabetes following at the PCCs in Madinah, Saudi Arabia. A patient-centered approach and individualized management plan considering all risk factors are required.

scholarly journals Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis

JMIR Diabetes ◽  
10.2196/32320 ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. e32320
Author(s):  
Stephanie A Robinson ◽  
Dane Netherton ◽  
Mark Zocchi ◽  
Carolyn Purington ◽  
Arlene S Ash ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Diabetes Management ◽  
The United States ◽  
Diabetes Control ◽  
Self Management ◽  
Patient Portal ◽  
Cross Sectional ◽  
Secure Messaging ◽  
Patients With Diabetes ◽  
Rural Patients

Background Rural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management. Objective This study explored whether rural patients’ self-management and glycemic control was associated with the use of SM. Methods This secondary, cross-sectional, mixed methods analysis of 448 veterans with diabetes used stratified random sampling to recruit a diverse sample from the United States (rural vs urban and good vs poor glycemic control). Administrative, clinical, survey, and interview data were used to determine patients’ rurality, use of SM, diabetes self-management behaviors, and glycemic control. Moderated mediation analyses assessed these relationships. Results The sample was 51% (n=229) rural and 49% (n=219) urban. Mean participant age was 66.4 years (SD 7.7 years). More frequent SM use was associated with better diabetes self-management (P=.007), which was associated with better glycemic control (P<.001). Among rural patients, SM use was indirectly associated with better glycemic control through improved diabetes self-management (95% CI 0.004-0.927). These effects were not observed among urban veterans with diabetes (95% CI –1.039 to 0.056). Rural patients were significantly more likely than urban patients to have diabetes-related content in their secure messages (P=.01). Conclusions More frequent SM use is associated with engaging in diabetes self-management, which, in turn, is associated with better diabetes control. Among rural patients with diabetes, SM use is indirectly associated with better diabetes control. Frequent patient-team communication through SM about diabetes-related content may help rural patients with diabetes self-management, resulting in better glycemic control.

scholarly journals Assessing quality of glycemic control: Hypo- and hyperglycemia, and glycemic variability using mobile self-monitoring of blood glucose system

2019 ◽  
Vol 26 (1) ◽  
pp. 287-297 ◽  
Author(s):  
Sophie Huey-Ming Guo
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Health Care Providers ◽  
Mobile Applications ◽  
Diabetes Management ◽  
Glycemic Variability ◽  
Care Providers ◽  
Self Monitoring ◽  
Patients With Diabetes ◽  
Glucose System

Although mobile applications bring potential benefits of metabolic control for patients with diabetes, their effect on glycemic fluctuation has been less widely explored. The goal of this study was to utilize data from the Mobile Self-Monitoring of Blood Glucose System to obtain a picture of the metabolic progression. Twenty-seven adults with type 2 diabetes mellitus were recruited to receive a mobile diabetes self-care system for a six-week period. The approach to the interpretation of glycemic control patterns, utilizes the following methods: 1) Graphical displays of the percentage of hyper-and-hypoglycemia episodes; 2) Pattern recognition of glycemic variability based on a simple equation involving both the standard deviation and the mean. Analytical results reveal that short-term usage of the developed system stabilizes the week-by-week glycemic fluctuations. Four categories were established to distinguish different patterns of patients’ glycemic variation. If patterns of glycemic control can be recognized or interpreted by newly designed mobile applications, then the collection and analysis of metabolic variation will greatly help both health care providers and patients in effective diabetes management.

scholarly journals Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis (Preprint)

2021 ◽  
Author(s):  
Stephanie A Robinson ◽  
Dane Netherton ◽  
Mark Zocchi ◽  
Carolyn Purington ◽  
Arlene S Ash ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Diabetes Management ◽  
The United States ◽  
Diabetes Control ◽  
Self Management ◽  
Patient Portal ◽  
Cross Sectional ◽  
Secure Messaging ◽  
Patients With Diabetes ◽  
Rural Patients

BACKGROUND Rural patients with diabetes have difficulty accessing care and are at higher risk for poor diabetes management. Sustained use of patient portal features such as secure messaging (SM) can provide accessible support for diabetes self-management. OBJECTIVE This study explored whether rural patients’ self-management and glycemic control was associated with the use of SM. METHODS This secondary, cross-sectional, mixed methods analysis of 448 veterans with diabetes used stratified random sampling to recruit a diverse sample from the United States (rural vs urban and good vs poor glycemic control). Administrative, clinical, survey, and interview data were used to determine patients’ rurality, use of SM, diabetes self-management behaviors, and glycemic control. Moderated mediation analyses assessed these relationships. RESULTS The sample was 51% (n=229) rural and 49% (n=219) urban. Mean participant age was 66.4 years (SD 7.7 years). More frequent SM use was associated with better diabetes self-management (<i>P</i>=.007), which was associated with better glycemic control (<i>P</i>&lt;.001). Among rural patients, SM use was indirectly associated with better glycemic control through improved diabetes self-management (95% CI 0.004-0.927). These effects were not observed among urban veterans with diabetes (95% CI –1.039 to 0.056). Rural patients were significantly more likely than urban patients to have diabetes-related content in their secure messages (<i>P</i>=.01). CONCLUSIONS More frequent SM use is associated with engaging in diabetes self-management, which, in turn, is associated with better diabetes control. Among rural patients with diabetes, SM use is indirectly associated with better diabetes control. Frequent patient-team communication through SM about diabetes-related content may help rural patients with diabetes self-management, resulting in better glycemic control.

scholarly journals Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials

2017 ◽  
Vol 24 (5) ◽  
pp. 1014-1023 ◽  
Author(s):  
Da Tao ◽  
Tieyan Wang ◽  
Tieshan Wang ◽  
Shuang Liu ◽  
Xingda Qu
Keyword(s):  
Glycemic Control ◽  
Patient Outcomes ◽  
Information Technologies ◽  
Diabetes Management ◽  
Meta Analysis ◽  
Narrative Synthesis ◽  
Health Information Technologies ◽  
Randomized Controlled ◽  
Patients With Diabetes ◽  
Over Time

Abstract Objective: To reveal the effects of consumer-oriented health information technologies (CHITs) on patient outcomes in diabetes management over time through systematic review and meta-analysis. Methods: We searched 5 electronic databases (from database inception to July 2016) for studies that reported on randomized controlled trials examining the effects of CHITs on glycemic control and other patient outcomes in diabetes management. Data were analyzed using either meta-analysis or a narrative synthesis approach. Results: Eighty randomized controlled trial studies, representing 87 individual trials, were identified and included for analysis. Overall, the meta-analysis showed that the use of CHITs resulted in significant improvement in glycemic control compared to usual care (standardized mean difference = −0.31%, 95% confidence interval −0.38 to −0.23, P &lt; .001) in patients with diabetes. Specifically, improvement in glycemic control was significant at intervention durations of 3, 6, 8, 9, 12, 15, 30, and 60 months, while no significant differences were found at other time points reported. The narrative synthesis provided mixed effects of CHITs on other clinical, psychosocial, behavioral, and knowledge outcomes. Conclusions: The use of CHITs appears to be more effective than usual care in improving glycemic control for patients with diabetes. However, their effectiveness did not remain consistent over time and in other patient outcomes. Further efforts are required to examine long-term effects of CHITs and to explore factors that can moderate the effects over time.

scholarly journals Use of Blood Glucose Meters Featuring Color Range Indicators Improves Glycemic Control in Patients With Diabetes in Comparison to Blood Glucose Meters Without Color (ACCENTS Study)

2018 ◽  
Vol 12 (6) ◽  
pp. 1211-1219 ◽  
Author(s):  
Mike Grady ◽  
Laurence B. Katz ◽  
Brian L. Levy
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Hemoglobin A1c ◽  
Diabetes Management ◽  
Statistical Significance ◽  
Color Range ◽  
Patients With Diabetes ◽  
Range Indicator

Background: The ability of patients to improve glycemic control depends partly on their ability to interpret and act on blood glucose results. We investigated whether switching people with diabetes to blood glucose meters (BGMs) featuring a color range indicator (CRI) could improve glycemic control compared to remaining on their current BGM without color. Methods: 163 adults with type 1 (T1D) or type 2 diabetes (T2D) and a hemoglobin A1c (A1c) of 7.5-11% were randomized to: One Touch Verio™ (Verio), OneTouch Verio Flex™ (Flex), or controls remaining on their current BGM. Diabetes nurses had standard conversations about diabetes management with all subjects at baseline. No changes in medication, insulin dosing, or SMBG frequency were recommended. Results: After 12 weeks, subjects who switched to Verio or Flex meters with CRI (n = 108) had a mean change in A1c 0.36% lower than controls (n = 55) ( P = .017). A1c reductions were greatest in T1D subjects (n = 45), with a decrease of 0.50% ( P = .004). T1D subjects using Verio meters (n = 25) contributed a 0.59% reduction compared to controls ( P < .008), whereas T1D subjects using Flex meters (n = 20) had a clinical meaningful reduction in A1c of 0.40% without reaching statistical significance ( P > .05). Verio and Flex users reported taking more action and easier understanding of diabetes management compared to previous BGMs. Conclusions: This study demonstrated that switching patients to BGMs featuring a CRI resulted in improvements in glycemic control compared to subjects using currently marketed BGMs that do not use a CRI. Registration: Clinicaltrials.gov NCT02929654 https://clinicaltrials.gov/ct2/show/NCT02929654

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