An overview of management issues in adult patients with type 2 diabetes mellitus

Time to first optimal glycemic control and its predictors among adult type 2 diabetes patients in Amhara Regional State comprehensive specialized hospitals, Northwest Ethiopia

BACKGROUND

Inadequate glycemic management in type 2 diabetes Mellitus patients is a serious public health issue and a key risk factor for progression as well as diabetes-related complications. The main therapeutic goal of preventing organ damage and other problems caused by diabetes is glycemic control. Knowing when to modify glycemic control in type 2 diabetes Mellitus is crucial for avoiding complications and early drug intensifications.

METHODS

An institutional based retrospective follow-up study was undertaken among 514 eligible adult diabetes patients in Amhara region Comprehensive Specialized Hospitals, Northwest Ethiopia, from January 2017 to January 2022. Simple random sampling technique was used to select study participants. The Kaplan Meier curve was used to assess the survival status of categorical variables, and the log-rank test was used to compare them. The cox proportional hazard model was fitted to identify the predictors of time to first optimal glycemic control. Variables with a p-value < 0.05 were considered to be statistically significance at 95% confidence interval.

RESULTS

A total of 514 patient records (227 males and 287 females) were reviewed in this study. The median time to first optimal glycemic control among the study population was 8.4 months IQR (7.6-9.7). The predictors that affect the time to first optimal glycemic control were age group ((AHR = 0.63, 95% CI = 0.463, 0.859 for 50-59 years), (AHR = 0.638, 95% CI = 0.471, 0.865 for 60-69 years), and (AHR = 0.480, 95% CI = 0.298, 0.774 for > = 70 years)), diabetes neuropathy (AHR = 0.629, 95% CI = 0.441,0.900), hypertension (AHR = 0.667, 95% CI = 0.524, 0.848), dyslipidemia (AHR = 0.561, 95% CI = 0.410, 0.768), and cardiovascular disease (AHR = 0.681, 95% CI = 0.494, 0.938).

CONCLUSION

The median time to initial optimal glycemic control in type 2 diabetes Mellitus patients in this study was short. Age between 50 and 59 years and 60-69, diabetes neuropathy, hypertension, dyslipidemia, and cardiovascular disease were predictor's of time to first glycemic control. Therefore, health care providers should pay extra attention for patients who are aged and who have complications or co-morbidities.

The analysis of the skeletal muscle metabolism is crucial for designing optimal exercise paradigms in type 2 diabetes mellitus

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease that commonly results from a high-calorie diet and sedentary lifestyle, leading to insulin resistance and glucose homeostasis perturbation. Physical activity is recommended as one first-line treatment in T2DM, but it leads to contrasted results. We hypothesized that, instead of applying standard exercise protocols, the prescription of personalized exercise programs specifically designed to reverse the potential metabolic alterations in skeletal muscle could result in better results.

METHODS

To test this hypothesis, we drew the metabolic signature of the fast-twitch quadriceps muscle, based on a combined unbiased NMR spectroscopy and RT-qPCR study, in several T2DM mouse models of different genetic background (129S1/SvImJ, C57Bl/6J), sex and aetiology (high-fat diet (HFD) or HFD/Streptozotocin (STZ) induction or transgenic MKR (FVB-Tg Ckm-IGF1R*K1003R)1Dlr/J) mice. Three selected mouse models with unique muscular metabolic signatures were submitted to three different swimming-based programs, designed to address each metabolic specificity.

RESULTS

We found that depending on the genetic background, the sex, and the mode of T2DM induction, specific muscular adaptations occurred, including depressed glycolysis associated with elevated PDK4 expression, shift to β-oxidation, or deregulation of amino-acid homeostasis. Interestingly, dedicated swimming-based exercises designed to restore specific metabolic alterations in muscle were found optimal in improving systemic T2DM hallmarks, including a significant reduction in insulin resistance, the improvement of glucose homeostasis, and a delay in sensorimotor function alterations.

CONCLUSION

The muscle metabolism constitutes an important clue for the design of precision exercises with potential clinical implications for T2DM patients.

Unraveling the Host Genetic Background Effect on Internal Organ Weight Influenced by Obesity and Diabetes Using Collaborative Cross Mice

Type 2 diabetes mellitus (T2DM) is a severe chronic epidemic that results from the body's improper usage of the hormone insulin. Globally, 700 million people are expected to have received a diabetes diagnosis by 2045, according to the International Diabetes Federation (IDF). Cancer and macro- and microvascular illnesses are only a few immediate and long-term issues it could lead to. T2DM accelerates the effect of organ weights by triggering a hyperinflammatory response in the body's organs, inhibiting tissue repair and resolving inflammation. Understanding how genetic variation translates into different clinical presentations may highlight the mechanisms through which dietary elements may initiate or accelerate inflammatory disease processes and suggest potential disease-prevention techniques. To address the host genetic background effect on the organ weight by utilizing the newly developed mouse model, the Collaborative Cross mice (CC). The study was conducted on 207 genetically different CC mice from 8 CC lines of both sexes. The experiment started with 8-week-old mice for 12 weeks. During this period, one group maintained a standard chow diet (CHD), while the other group maintained a high-fat diet (HFD). In addition, body weight was recorded bi-weekly, and at the end of the study, a glucose tolerance test, as well as tissue collection (liver, spleen, heart), were conducted. Our study observed a strong effect of HFD on blood glucose clearance among different CC lines. The HFD decreased the blood glucose clearance displayed by the significant Area Under Curve (AUC) values in both populations. In addition, variation in body weight changes among the different CC lines in response to HFD. The female liver weight significantly increased compared to males in the overall population when exposed to HFD. Moreover, males showed higher heritability values than females on the same diet. Regardless of the dietary challenge, the liver weight in the overall male population correlated positively with the final body weight. The liver weight results revealed that three different CC lines perform well under classification models. The regression results also varied among organs. Accordingly, the differences among these lines correspond to the genetic variance, and we suspect that some genetic factors invoke different body responses to HFD. Further investigations, such as quantitative trait loci (QTL) analysis and genomic studies, could find these genetic elements. These findings would prove critical factors for developing personalized medicine, as they could indicate future body responses to numerous situations early, thus preventing the development of complex diseases.

Effects of message framing on self-management behaviour among patients with type 2 diabetes: a randomised controlled trial protocol

INTRODUCTION

Accumulating evidence has indicated successful diabetes health education can potentially help to improve blood sugar levels in people with diabetes. However, with a rapid rise in the number of people with diabetes cases and the increasing burden on healthcare, it is often difficult for healthcare providers to find suitable time to provide health education to meet their needs. Thus, more novel and effective ways are needed to conduct education. The message frame provides a new perspective for implementation of a more effective health education in the form of changing information presentation, and the same objective content is described in either positive or negative language or outcomes. Gain framing emphasises the positive consequences of adhering to useful recommendations, while loss framing highlights the negative consequences of the non-adherence. The purpose of our research is to potentially explore the effectiveness of diabetes education based on message framing on the self-management behaviour.

METHODS AND ANALYSIS

A single-blind, three-arm randomised controlled trial involving 84 participants will be conducted. The participants will be assigned into three groups randomly in a 1:1:1 ratio and will receive 12-week intervention. Patients in group 1 will be provided gain framing education videos about the self-management skills for type 2 diabetes, patients in group 2 will be given education videos based on loss framing and patients in group 3 will receive education with no specific message framing. The primary outcome is self-management behaviour. The secondary outcomes will be self-efficacy, patient activation, diabetes-related knowledge and attitude, quality of life and blood glucose level. All outcomes will be measured at baseline and 12 weeks.

ETHICS AND DISSEMINATION

This study was approved by the Ethics Committee of School of Nursing, Jilin University (No. 2020101501). The research results will be published in peer-reviewed publications and presented in international conferences.

TRIAL REGISTRATION NUMBER

ChiCTR 2100045772; Pre-results.

Managing diabetes mellitus with comorbidities in primary healthcare facilities in urban settings: a qualitative study among physicians in Odisha, India

Aim

To explore the perceived barriers and facilitators in the management of the patients having diabetes with comorbidities by primary care physicians.

Methods

A qualitative In-Depth Interview study was conducted among the primary care physicians at seventeen urban primary health care centres at Bhubaneswar city of Odisha, India. The digitally recorded interviews were transcribed verbatim and translated into English. The data were analysed using thematic analysis.

Results

Barriers related to physicians, patients and health system were identified. Physicians felt lack of necessary knowledge and skills, communication skills and overburdening due to multiple responsibilities to be major barriers to quality care. Patients’ attitude and beliefs along with socio-economic status played an important role in treatment adherence and in the management of their disease conditions. Poor infrastructure, irregular medicine supply, and shortage of skilled allied health professionals were also found to be barriers to optimal care delivery, as was the lack of electronic medical records and personal treatment records.

Conclusion

Comprehensive guidelines with on the job training for capacity building of the physicians and creation of multidisciplinary teams at primary care level for a more holistic approach towards management of diabetes with comorbidities could be the way forward to optimal delivery of care.

Identification of Important Factors Affecting Use of Digital Individualised Coaching and Treatment of Type 2 Diabetes in General Practice: A Qualitative Feasibility Study

Most type 2 diabetes patients are treated in general practice and there is a need of developing and implementing efficient lifestyle interventions. eHealth interventions have shown to be effective in promoting a healthy lifestyle. The purpose of this study was to test the feasibility, including the identification of factors of importance, when offering digital lifestyle coaching to type 2 diabetes patients in general practice. We conducted a qualitative feasibility study with focus group interviews in four general practices. We identified two overall themes and four subthemes: (1) the distribution of roles and lifestyle interventions in general practice (subthemes: external and internal distribution of roles) and (2) the pros and cons for digital lifestyle interventions in general practice (subthemes: access to real life data and change in daily routines). We conclude that for digital lifestyle coaching to be feasible in a general practice setting, it was of great importance that the general practitioners and practice nurses knew the role and content of the intervention. In general, there was a positive attitude in the general practice setting towards referring type 2 diabetes patients to digital lifestyle intervention if it was easy to refer the patients and if easily understandable and accessible feedback was implemented into the electronic health record. It was important that the digital lifestyle intervention was flexible and offered healthcare providers in general practice an opportunity to follow the type 2 diabetes patient closely.

Ultrasonographic Renal Dimensions Amongst Adult Nigerian Diabetics: Correlation with Clinical, Anthropometric and Metabolic Risk Factors

Diabetes is now becoming a major public health problem globally. It is increasingly associated with renal diseases, particularly chronic kidney disease worldwide. A simple, accurate, reproducible and non-invasive method of evaluation is necessary for early morphological assessment for timely intervention, diagnosis, treatment, and evaluation of renal diseases in diabetes mellitus. In this cross-sectional comparative study, among one hundred and four adult diabetic cases and fifty-three healthy controls, the ultrasonographic renal dimensions were determined and compared in both cases and controls. Correlations were sought between the renal dimensions and the clinical, anthropometric, and metabolic characteristics of the study population. The dimensions of the kidneys in diabetic cases versus controls were; lengths (9.94± 0.76cm vs 9.27 ± 0.90 and 10.28 ± 0.87cm vs 9.41± 1.02cm(p=<0.001), cortical thickness (1.77± 0.28cm vs 1.26± 0.49cm, p<0.001 and 1.89± 0.52cm vs 1.37± 0.78cm, p<0.001 and volumes (121.9± 39.50cm3 vs 107.8± 29.82cm, p=0.026 and 136.3± 45.09cm3 vs 118.8± 33.79cm3, (p=0.015) were significantly higher in Diabetes mellitus cases on the right and left respectively. The waist circumference, fasting blood sugar, postprandial blood sugar, cholesterol, and urinary albumin, all had correlations with the mean kidney length. Taking together, the ultrasonographic renal lengths, cortical thickness, and volumes are increased in diabetic disease without renal function compromise compared to age-, gender- and body mass index-matched non-diabetic controls. The clinical, anthropometric, and metabolic parameters of the diabetes cases also showed significant correlations with mean kidney length.

Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study

Background

Past mobile health (mHealth) efforts to empower type 2 diabetes (T2D) self-management include portals, text messaging, collection of biometric data, electronic coaching, email, and collection of lifestyle information.

Objective

The primary objective was to enhance patient activation and self-management of T2D using the US Department of Defense’s Mobile Health Care Environment (MHCE) in a patient-centered medical home setting.

Methods

A multisite study, including a user-centered design and a controlled trial, was conducted within the US Military Health System. Phase I assessed preferences regarding the enhancement of the enabling technology. Phase II was a single-blinded 12-month feasibility study that randomly assigned 240 patients to either the intervention (n=123, received mHealth technology and behavioral messages tailored to Patient Activation Measure [PAM] level at baseline) or the control group (n=117, received equipment but not messaging. The primary outcome measure was PAM scores. Secondary outcome measures included Summary of Diabetes Self-Care Activities (SDSCA) scores and cardiometabolic outcomes. We used generalized estimating equations to estimate changes in outcomes.

Results

The final sample consisted of 229 patients. Participants were 61.6% (141/229) male, had a mean age of 62.9 years, mean glycated hemoglobin (HbA_1c) of 7.5%, mean BMI of 32.7, and a mean duration of T2D diagnosis of 9.8 years. At month 12, the control group showed significantly greater improvements compared with the intervention group in PAM scores (control mean 7.49, intervention mean 1.77; P=.007), HbA_1c (control mean −0.53, intervention mean −0.11; P=.006), and low-density lipoprotein cholesterol (control mean −7.14, intervention mean 4.38; P=.01). Both groups showed significant improvement in SDSCA, BMI, waist size, and diastolic blood pressure; between-group differences were not statistically significant. Except for patients with the highest level of activation (PAM level 4), intervention group patients exhibited significant improvements in PAM scores. For patients with the lowest level of activation (PAM level 1), the intervention group showed significantly greater improvement compared with the control group in HbA_1c (control mean −0.09, intervention mean −0.52; P=.04), BMI (control mean 0.58, intervention mean −1.22; P=.01), and high-density lipoprotein cholesterol levels (control mean −4.86, intervention mean 3.56; P<.001). Significant improvements were seen in AM scores, SDSCA, and waist size for both groups and in diastolic and systolic blood pressure for the control group; the between-group differences were not statistically significant. The percentage of participants who were engaged with MHCE for ≥50% of days period was 60.7% (68/112; months 0-3), 57.4% (62/108; months 3-6), 49.5% (51/103; months 6-9), and 43% (42/98; months 9-12).

Conclusions

Our study produced mixed results with improvement in PAM scores and outcomes in both the intervention and control groups. Structural design issues may have hampered the influence of tailored behavioral messaging within the intervention group.

Trial Registration

ClinicalTrials.gov NCT02949037; https://clinicaltrials.gov/ct2/show/NCT02949037

International Registered Report Identifier (IRRID)

RR2-10.2196/resprot.6993

How are medication related problems managed in primary care? An exploratory study in patients with diabetes and primary care providers

BACKGROUND

Medication self-management is important for patients who are controlling diabetes. Achieving medication self-management goals, may depend on treatment complexity and patients' capacities such as health literacy, knowledge and attitude.

OBJECTIVES

The aims of this study were to explore how patients with diabetes self-manage their medications, how patients seek support when experiencing problems and how primary healthcare providers identify patients' medication related problems and provide support.

METHODS

Semi-structured interviews were conducted among patients with diabetes receiving primary care and with their primary healthcare providers - GPs, nurses, pharmacists and technicians - between January and June 2017. A purposive sampling strategy was used to identify and select participants. An interview guide based on the Cycle of Complexity model was developed. Interviews were audiotaped and transcribed verbatim. Transcripts were coded with a combination of deductive and inductive codes. A thematic analysis was performed to identify categories and themes in the data. Findings were compared with the Cycle of Complexity model.

RESULTS

Twelve patients and 27 healthcare providers were included in the study. From the transcripts 95 codes, 6 categories and 2 major themes were extracted. Patients used practical solutions and gaining knowledge to manage their medication. Their problems were often related to stress and concerns about using medications. A trusted relationship with the healthcare provider was essential for patients to share problems and ask for support. Informal support was sought from family and peer-patients. Healthcare providers perceive problem identification as challenging. They relied on patients coming forward, computer notifications, clinical parameters and gut-feeling. Healthcare providers were able to offer appropriate support if a medication management problem was known.

CONCLUSION

Patients are confident of finding their way to manage their medications. However, sharing problems with healthcare providers requires a trusted relationship. This is acknowledged by both patients and healthcare providers.

Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans

mHealth tools to help people manage chronic illnesses have surged in popularity, but evidence of their effectiveness remains mixed. The aim of this study was to address a gap in the mHealth and health psychology literatures by investigating how individual differences in psychological traits are associated with mHealth effectiveness. Drawing from regulatory mode theory, we tested the role of locomotion and assessment in explaining why mHealth tools are effective for some but not everyone. A 13-week pilot study investigated the effectiveness of an mHealth app in improving health behaviors among older veterans (n = 27) with poorly controlled Type 2 diabetes. We developed a gamified mHealth tool (DiaSocial) aimed at encouraging tracking of glucose control, exercise, nutrition, and medication adherence. Important individual differences in longitudinal trends of adherence, operationalized as points earned for healthy behavior, over the course of the 13-week study period were found. Specifically, low locomotion was associated with unchanging levels of adherence during the course of the study. In contrast, high locomotion was associated with generally stronger adherence although it exhibited a quadratic longitudinal trend. In addition, high assessment was associated with a marginal, positive trend in adherence over time while low assessment was associated with a marginal, negative trend. Next, we examined the relationship between greater adherence and improved clinical outcomes, finding that greater adherence was associated with greater reductions in glycated hemoglobin (HbA1c) levels. Findings from the pilot study suggest that mHealth technologies can help older adults improve their diabetes management, but a “one size fits all” approach may yield suboptimal outcomes.

Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol

Background

Individuals with type 2 diabetes have an increased risk for comorbidities such as heart disease, lower limb amputations, stroke, and renal failure. Multiple factors influence development of complications in a person living with type 2 diabetes; however, an individual’s self-management behaviors may delay the onset of, or lessen the severity of, these complications. Social support provides personal, informal advice and knowledge that helps individuals initiate and sustain self-management and adherence.

Objective

Our aim was to gain an understanding of type 2 diabetes social interaction in a virtual environment, one type of computer-mediated environment (CME), and the social support characteristics that increase and sustain self-management in adults living with chronic illness.

Methods

This study is a secondary analysis of longitudinal data collected in a CME study, Second Life Impacts Diabetes Education & Self-Management (1R21-LM010727-01). This virtual environment replicated a real-life community where 6 months of naturalistic synchronous voice conversations, emails, and text chats were recorded among participants and providers. This analysis uses a mixed-methods approach to explore and compare qualitative and quantitative findings. This analysis is guided by two theories: Strong/Weak Ties Theory and Social Penetration Theory. Qualitative data will be analyzed using content analysis, and we will complete descriptive statistics on the quantified variables (eg, average number of ties). Institutional review board approval was obtained in June 2016.

Results

This study is in progress.

Conclusions

Interventions provided through virtual environments are a promising solution to increasing self-management practices. However, little is known of the depth, breadth, and quality of social support that is exchanged and how interaction supports self-management and relates to health outcomes. This study will provide knowledge that will help guide clinical practice and policy to enhance social support for chronic illness via the Internet.

Enhancing mHealth Technology in the Patient-Centered Medical Home Environment to Activate Patients With Type 2 Diabetes: A Multisite Feasibility Study Protocol

BACKGROUND

The potential of mHealth technologies in the care of patients with diabetes and other chronic conditions has captured the attention of clinicians and researchers. Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys. Each of these tools, used alone or in combination, have demonstrated varying degrees of effectiveness. Some of the more promising results have been demonstrated using regular collection of biometric devices, SMS text messaging, secure email communication with clinical teams, and regular reporting of quality-of-life variables. In this study, we seek to incorporate several of the most promising mHealth capabilities in a patient-centered medical home (PCMH) workflow.

OBJECTIVE

We aim to address underlying technology needs and gaps related to the use of mHealth technology and the activation of patients living with type 2 diabetes. Stated differently, we enable supporting technologies while seeking to influence patient activation and self-care activities.

METHODS

This is a multisite phased study, conducted within the US Military Health System, that includes a user-centered design phase and a PCMH-based feasibility trial. In phase 1, we will assess both patient and provider preferences regarding the enhancement of the enabling technology capabilities for type 2 diabetes chronic care management. Phase 2 research will be a single-blinded 12-month feasibility study that incorporates randomization principles. Phase 2 research will seek to improve patient activation and self-care activities through the use of the Mobile Health Care Environment with tailored behavioral messaging. The primary outcome measure is the Patient Activation Measure scores. Secondary outcome measures are Summary of Diabetes Self-care Activities Measure scores, clinical measures, comorbid conditions, health services resource consumption, and technology system usage statistics.

RESULTS

We have completed phase 1 data collection. Formal analysis of phase 1 data has not been completed. We have obtained institutional review board approval and began phase 1 research in late fall 2016.

CONCLUSIONS

The study hypotheses suggest that patients can, and will, improve their activation in chronic care management. Improved activation should translate into improved diabetes self-care. Expected benefits of this research to the scientific community and health care services include improved understanding of how to leverage mHealth technology to activate patients living with type 2 diabetes in self-management behaviors. The research will shed light on implementation strategies in integrating mHealth into the clinical workflow of the PCMH setting.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02949037. https://clinicaltrials.gov/ct2/show/NCT02949037. (Archived by WebCite at http://www.webcitation.org/6oRyDzqei).

Psychosocial factors in medication adherence and diabetes self-management: Implications for research and practice

Diabetes is a chronic illness that places a significant self-management burden on affected individuals and families. Given the importance of health behaviors-such as medication adherence, diet, physical activity, blood glucose self-monitoring-in achieving optimal glycemic control in diabetes, interventions designed and delivered by psychologists hold promise in assisting children, adolescents, and adults with diabetes in improving their health status and lowering their risk of serious complications. This article first provides an overview of diabetes self-management and associated challenges and burdens. Socioeconomic status factors that may influence diabetes management and outcomes are briefly highlighted. We then review the evidence base for select psychosocial factors that may be implicated in diabetes self-management. Modifiable targets of psychological intervention are presented across 3 overarching domains: (a) knowledge, beliefs, and related cognitive constructs; (b) emotional distress and well-being; and (c) behavioral skills and coping. Important methodological issues facing future research are discussed, along with opportunities for psychologists in improving the care and treatment outcomes of individuals and families living with diabetes. In conclusion, we advocate for continued research emphasis on improving psychosocial aspects of living with diabetes, with greater attention to the situational context in which the self-regulatory processes underlying self-management occur. Psychologists have important roles to play in reducing emotional distress, improving patient knowledge, and providing training in behavioral skills to promote successful self-management and to support patient-centered diabetes care. (PsycINFO Database Record

Successful self-management among non-insulin-treated adults with Type 2 diabetes: a self-regulation perspective

AIMS

To clarify the role of self-monitoring of blood glucose (SMBG) in the self-management of Type 2 diabetes from the patient's perspective, using in-depth interviews with non-insulin-treated adults to investigate how they learned to manage their diabetes effectively and whether SMBG played a significant role in this process.

METHODS

Individual interviews were conducted with 14 non-insulin-treated adults with Type 2 diabetes who had significantly improved their glycaemic control [64% women; 50% black; 21% Hispanic; mean age 60 years; mean HbA(1c) concentration 43 mmol/mol (6.1%)]. Interviews were transcribed and analysed by a coding team, applying the concept of illness coherence from the Common Sense Model of Self-Regulation.

RESULTS

The majority of participants relied on SMBG to evaluate their self-management efforts. Key themes included: adopting an experimental approach; experiencing 'a-ha' moments; provider-assisted problem-solving; using SMBG and other feedback to evaluate when their efforts were working; and normalizing diabetes-specific behaviour changes as being healthy for everyone.

CONCLUSIONS

Our qualitative data are consistent with the argument that SMBG, if implemented appropriately with enough education and provider access, can be a powerful tool for non-insulin-treated adults with Type 2 diabetes to monitor their self-management. Establishing sufficient conditions for illness coherence to develop while individuals are learning to use SMBG could increase their sense of personal control in managing a complex and demanding illness.

Treatment Compliance with Fixed-Dose Combination of Vildagliptin/Metformin in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Metformin Monotherapy: A 24-Week Observational Study

Objective. To evaluate the differences in treatment compliance with vildagliptin/metformin fixed-dose versus free-dose combination therapy in patients with type 2 diabetes mellitus (T2DM) in Greece. Design. Adult patients with T2DM, inadequately controlled with metformin monotherapy, (850 mg bid), participated in this 24-week, multicenter, observational study. Patients were enrolled in two cohorts: vildagliptin/metformin fixed-dose combination (group A) and vildagliptin metformin free-dose combination (group B). Results. 659 patients were enrolled, 360 were male, with mean BMI 30.1, mean T2DM duration 59.6 months, and mean HbA1c at baseline 8%; 366 patients were assigned to group A and 293 to group B; data for 3 patients was missing. In group A, 98.9% of patients were compliant with their treatment compared to 84.6% of group B. The odds ratio for compliance in group A versus B was (OR) 18.9 (95% CI: 6.2, 57.7; P < 0.001). In group A mean HbA1c decreased from 8.1% at baseline to 6.9% (P < 0.001) at the study end and from 7.9% to 6.8% (P < 0.001) in group B. Conclusions. Patients in group A were more compliant than patients in group B. These results are in accordance with international literature suggesting that fixed-dose combination therapies lead to increased compliance to treatment.

Using mobile phone text messages to improve insulin injection technique and glycaemic control in patients with diabetes mellitus: a multi-centre study in Turkey

AIM AND OBJECTIVES

To improve the knowledge and skills of diabetic patients on insulin injections using mobile phone short message services and to evaluate the association of this intervention with metabolic outcomes.

BACKGROUND

Mobile communication technologies are widely used in Turkey, which maintains a diabetic population of more than 6·5 million. However, there are a limited number of studies using mobile technologies in the challenging and complicated management of diabetes.

DESIGN

A one group pretest-posttest design was used in this study.

METHODS

The study sample consisted of 221 people with type 1 and type 2 Diabetes Mellitus from eight outpatient clinics in six cities in Turkey. The 'Demographic and diabetes-related information Form' and 'Insulin Injection Technique and Knowledge Form' were used in the initial interview. Subsequently, 12 short messages related to insulin administration were sent to patients twice a week for six months. Each patient's level of knowledge and skills regarding both the insulin injection technique and glycaemic control (glycated haemoglobin A1c) levels were measured at three months and six months during the text messaging period and six months later (12 months total) when text messaging was stopped.

RESULTS

The mean age of the patients with diabetes was 39·8 ± 16·2 years (min: 18; max: 75). More than half of the patients were females with a mean duration of diabetes of 11·01 ± 7·22 years (min 1; max: 32). Following the text message reminders, the patients' level of knowledge and skills regarding the insulin injection technique improved at month 3 and 6 (p < 0·05). The patients' A1c levels statistically significantly decreased at the end of month 3, 6 and 12 compared to the baseline values (p < 0·05). The number of insulin injection sites and the frequency of rotation of skin sites for insulin injections also increased.

CONCLUSION

This study demonstrated that a short message services-based information and reminder system on insulin injection administration provided to insulin-dependent patients with diabetes by nurses resulted in improved self-administration of insulin and metabolic control.

RELEVANCE TO CLINICAL PRACTICE

Today, with the increased use of mobile communication technologies, it is possible for nurses to facilitate diabetes management by using these technologies. We believe that mobile technologies, which are not only easy to use and to follow-up with by healthcare providers, are associated with positive clinical outcomes for patients and should be more commonly used in the daily practice of diabetes management.

[Primary care for diabetic patients: a quality improvement cycle]

OBJECTIVE

The aim of this study was to evaluate and improve the quality of medical care provided to diabetic patients following the standards proposed by the American Diabetes Association.

MATERIAL AND METHODS

The study was conducted in three phases by analyzing data from the computerized clinical history of a sample of 340 patients. First phase (2010): cross-sectional, descriptive study which assessed the proportion of patients who met the standards related to the screening of diabetes, and goals of control and treatment. Subsequently, health professionals reviewed the results in order to promote the implementation of corrective action. Finally (2012), a new assessment with the same standards was performed.

RESULTS

An increase in the number of patients treated with insulin (12.7% in 2010 and 20.2% in 2012) was observed (P < .01). There were also percentage increases in the number of patients who met the screening standards as regards analytical determinations: glycosylated hemoglobin (from 44.4% to 68.2%), lipid profile (47.6%-73.8%), creatinine (32.5% - 73.5%), and albumin-creatinine ratio (9.2%-24.4%) (P < .001). Only 6.4% (CI: 3.2- 9.8) of diabetic patients attained the composite target of glycosylated hemoglobin < 7%, blood pressure < 130/80 mmHg and low-density lipoprotein cholesterol < 100 mg/dl in 2012.

CONCLUSIONS

This study shows that medical care has improved the goals related to analytical determinations and the number of insulin-treated diabetic type 2 patients. An optimal level was also maintained in metabolic control of diabetes, but there was still poor control of risk factors for cardiovascular disease.

Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention

Type 2 diabetes is a serious and common chronic disease resulting from a complex inheritance-environment interaction along with other risk factors such as obesity and sedentary lifestyle. Type 2 diabetes and its complications constitute a major worldwide public health problem, affecting almost all populations in both developed and developing countries with high rates of diabetes-related morbidity and mortality. The prevalence of type 2 diabetes has been increasing exponentially, and a high prevalence rate has been observed in developing countries and in populations undergoing "westernization" or modernization. Multiple risk factors of diabetes, delayed diagnosis until micro- and macro-vascular complications arise, life-threatening complications, failure of the current therapies, and financial costs for the treatment of this disease, make it necessary to develop new efficient therapy strategies and appropriate prevention measures for the control of type 2 diabetes. Herein, we summarize our current understanding about the epidemiology of type 2 diabetes, the roles of genes, lifestyle and other factors contributing to rapid increase in the incidence of type 2 diabetes. The core aims are to bring forward the new therapy strategies and cost-effective intervention trials of type 2 diabetes.

Efficacy and safety of empagliflozin, a sodium glucose cotransporter 2 (SGLT2) inhibitor, as add-on to metformin in type 2 diabetes with mild hyperglycaemia

AIMS

To evaluate the effects of the sodium glucose cotransporter 2 (SGLT2) inhibitor empagliflozin added to metformin for 12 weeks in patients with type 2 diabetes.

METHODS

This dose-ranging, double-blind, placebo-controlled trial randomized 495 participants with type 2 diabetes inadequately controlled on metformin [haemoglobin A1c (HbA1c) >7 to ≤10%] to receive 1, 5, 10, 25, or 50 mg empagliflozin once daily (QD), or placebo, or open-label sitagliptin (100 mg QD), added to metformin for 12 weeks. The primary endpoint was change in HbA1c from baseline to week 12 (empagliflozin groups versus placebo).

RESULTS

Reductions in HbA1c of -0.09 to -0.56% were observed with empagliflozin after 12 weeks, versus an increase of 0.15% with placebo (baseline: 7.8-8.1%). Compared with placebo, empagliflozin doses from 5 to 50 mg resulted in reductions in fasting plasma glucose (-2 to -28 mg/dl vs. 5 mg/dl with placebo; p < 0.0001) and body weight (-2.3 to -2.9 kg vs. -1.2 kg; p < 0.01). Frequency of adverse events was generally similar with empagliflozin (29.6-48.6%), placebo (36.6%) and sitagliptin (35.2%). Hypoglycaemia rates were very low and balanced among groups. Most frequent adverse events with empagliflozin were urinary tract infections (4.0% vs. 2.8% with placebo) and pollakiuria (2.5% vs. 1.4% with placebo). Genital infections were reported only with empagliflozin (4.0%).

CONCLUSIONS

Once daily empagliflozin as add-on therapy to metformin was well tolerated except for increased genital infections and resulted in reductions in HbA1c, fasting plasma glucose and body weight in patients with type 2 diabetes inadequately controlled on metformin monotherapy.

Value and utility of self-monitoring of blood glucose in non-insulin-treated patients with type 2 diabetes mellitus

Self-monitoring of blood glucose (SMBG) levels provides important information regarding glycemic control for patients with diabetes, and is recommended by European and American diabetes organizations as an essential adjunct to periodic glycated hemoglobin (HbA1c) level monitoring. The benefits of SMBG in improving glycemic control in patients with type 1 diabetes and those with type 2 diabetes (T2DM) who are being treated with insulin are well recognized. In contrast, the potential role of SMBG in patients with T2DM not treated with insulin remains controversial, which may lead to underutilization of SMBG in this population. Structured SMBG, introduced as part of a treatment intervention, has been associated with modest but significant improvements in HbA1c levels in patients with T2DM who are not taking insulin as part of their management plan. Patient-obtained readings provide valuable real-time feedback on glucose responses to meals and exercise, and provide the patient with guidance on the day-to-day management of their diabetes. Studies have shown that when patients perform self-monitoring as part of their treatment interventions, support through appropriate educational initiatives is critical to ensure that patients understand the rationale for SMBG. Patients should be trained in correct testing technique and data recording for SMBG, as well as target blood glucose and goal HbA1c levels so that they will know when their SMBG readings are out of range. Technology has a potential role in facilitating SMBG-based interventions by improving patient-physician communication and optimizing glycemic control through the use of remote data uploading, data analysis tools, and, perhaps, even text messaging. This review outlines the benefits of SMBG in the management of patients with T2DM not treated with insulin, and highlights strategies for improving the effectiveness of SMBG-based treatment interventions in this population.

Demonstrating the burden of hypoglycemia on patients' quality of life in diabetes clinical trials: measurement considerations for hypoglycemia

OBJECTIVES

To evaluate the association between hypoglycemia and health-related quality of life (HRQoL) in the context of a clinical trial using both an objectively confirmed and a patient-reported measure of hypoglycemia.

METHODS

During a phase III, double-arm, randomized study, patients completed the short form 36 health survey (SF-36), a generic HRQoL questionnaire, at baseline and at weeks 24, 52, and 104. The objectively confirmed measure of hypoglycemia was based on a combination of plasma glucose measure and presence of hypoglycemia-related symptoms. The patient-reported frequency of hypoglycemia was defined as the following item: "How often have you felt that your blood sugars have been unacceptably low recently?" The association between hypoglycemia and HRQoL was evaluated in intent-to-treat patients (N = 3059) by using repeated-measurements analyses, with SF-36 scores used as explained variables and baseline SF-36 score, age, sex, country, time, and either number of objectively confirmed hypoglycemic events (0, ≥1) or patient-reported frequency of hypoglycemia (continuous variable 0-6) as explanatory variables.

RESULTS

During study duration, less than 6% of patients experienced at least one objectively confirmed hypoglycemic event and about half the patients reported unacceptably low blood sugars "none of the time." The association between the number of objectively confirmed hypoglycemic events and HRQoL was not statistically significant, while the patient-reported frequency of hypoglycemia was statistically significantly related to all SF-36 scores (P < 0.001), except physical functioning; patients reporting greater perceived frequency of hypoglycemia had worse HRQoL.

CONCLUSIONS

Using a patient-reported measure of hypoglycemia in the context of a clinical trial could enable the burden of hypoglycemia for patients to be demonstrated.

Reprogrammed cell delivery for personalized medicine

In most approaches, personalized medicine requires time- and cost-intensive characterization of an individual's genetic background in order to achieve the best-adapted therapy. For this purpose, cell-based drug delivery offers a promising alternative. In particular, synthetic biology has introduced the vision of cells being programmable therapeutic production facilities that can be introduced into patients. This review highlights the progress made in synthetic biology-based cell engineering toward advanced drug delivery entities. Starting from basic one-input responsive transcriptional or post-transcriptional gene control systems, the field has reached a level on which cells can be engineered to detect cancer cells, to obtain control over T-cell proliferation, and to restore blood glucose homeostasis upon blue light illumination. Furthermore, a cellular implant was developed that detects blood urate level disorders and acts accordingly to restore homeostasis while another cellular implant was engineered as an artificial insemination device that releases bull sperm into bovine ovarian only during ovulation time by recording endogenous luteinizing hormone levels. Soon, the field will reach a stage at which cells can be reprogrammed to detect multiple metabolic parameters and self-sufficiently treat any disorder connected to them.

Are adults diagnosed with diabetes achieving the American Diabetes Association clinical practice recommendations?

OBJECTIVE

This study assessed the proportion of adults with previously diagnosed diabetes mellitus (DM) who met selected preventive practices and treatment goals according to the American Diabetes Association (ADA) standards of medical care.

METHODS

A secondary analysis of data collected for a previous epidemiologic study that used a probability cluster design to select 859 persons aged 21-79 years in the San Juan metropolitan area was undertaken. This study focused on 136 (15.8%) adults who self-reported DM. The Standards of Medical Care in Diabetes published by the ADA in 2011 were used to determine the proportion of adults achieving selected clinical practice recommendations.

RESULTS

Less than half of adults achieved recommended treatment goals for LDL-cholesterol (47.8%), HDL-cholesterol (44.1%), blood pressure (41.2%) and HbAlc (28.7%). The percentage of adults achieving recommended levels of HbAlc, blood pressure and LDL-cholesterol simultaneously was 6.6%; the percentage achieving HbA1c, blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides and albumin-to-creatinine ratio target levels was only 2.2%. More than half (60.2%) reported daily self-monitoring of foot ulcers and HbAlc testing at least twice over the past year (52.3%). However, less than half reported annual dilated eye examination (49.2%), annual comprehensive foot examination (43.8%), daily self-monitoring blood glucose (37.5%), moderate or vigorous physical activity (33.8%), and self-management DM education (28.9%).

CONCLUSION

This study showed that a substantial proportion of adults with DM did not achieve ADA recommendations on selected preventive practices and treatment goals. Strategies to improve DM medical care and surveillance of preventive-care practices and treatment goals among affected individuals are essential for planning further initiatives that contribute to reduce the burden of DM complications.

A rapid-acting, long-acting insulin formulation based on a phospholipid complex loaded PHBHHx nanoparticles

The application of poly(hydroxybutyrate-co-hydroxyhexanoate) (PHBHHx) for sustained and controlled delivery of hydrophilic insulin was made possible by preparing insulin phospholipid complex loaded biodegradable PHBHHx nanoparticles (INS-PLC-NPs). The INS-PLC-NPs produced by a solvent evaporation method showed a spherical shape with a mean particle size, zeta potential and entrapment efficiency of 186.2 nm, -38.4 mv and 89.73%, respectively. In vitro studies demonstrated that only 20% of insulin was released within 31 days with a burst release of 5.42% in the first 8 h. The hypoglycaemic effect in STZ induced diabetic rats lasted for more than 3 days after the subcutaneous injection of INS-PLC-NPs, which significantly prolonged the therapeutic effect compared with the administration of insulin solution. The pharmacological bioavailability (PA) of INS-PLC-NPs relative to insulin solution was over 350%, indicating that the bioavailability of insulin was significantly enhanced by INS-PLC-NPs. Therefore, the INS-PLC-NPs system is promising to serve as a long lasting insulin release formulation, by which the patient compliance can be enhanced significantly. This study also showed that phospholipid complex loaded biodegradable nanoparticles (PLC-NPs) have a great potential to be used as a sustained delivery system for hydrophilic proteins to be encapsulated in hydrophobic polymers.

Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities

The rising rates, high prevalence, and adverse consequences of obesity and diabetes call for new approaches to the complex behaviors needed to prevent and manage these conditions. Virtual reality (VR) technologies, which provide controllable, multisensory, interactive three-dimensional (3D) stimulus environments, are a potentially valuable means of engaging patients in interventions that foster more healthful eating and physical activity patterns. Furthermore, the capacity of VR technologies to motivate, record, and measure human performance represents a novel and useful modality for conducting research. This article summarizes background information and discussions for a joint July 2010 National Institutes of Health - Department of Defense workshop entitled Virtual Reality Technologies for Research and Education in Obesity and Diabetes. The workshop explored the research potential of VR technologies as tools for behavioral and neuroscience studies in diabetes and obesity, and the practical potential of VR in fostering more effective utilization of diabetes- and obesity-related nutrition and lifestyle information. Virtual reality technologies were considered especially relevant for fostering desirable health-related behaviors through motivational reinforcement, personalized teaching approaches, and social networking. Virtual reality might also be a means of extending the availability and capacity of health care providers. Progress in the field will be enhanced by further developing available platforms and taking advantage of VR's capabilities as a research tool for well-designed hypothesis-testing behavioral science. Multidisciplinary collaborations are needed between the technology industry and academia, and among researchers in biomedical, behavioral, pedagogical, and computer science disciplines. Research priorities and funding opportunities for use of VR to improve prevention and management of obesity and diabetes can be found at agency websites (National Institutes of Health: http://grants.nih.gov/grants/guide/index.html; Department of Defense: www.tatrc.org).