Personalizing treatment in type 2 diabetes: a self-monitoring of blood glucose inclusive innovative approach

Advanced Glycation End Products: A Sweet Flavor That Embitters Cardiovascular Disease

Epidemiological studies demonstrate the role of early and intensive glycemic control in the prevention of micro and macrovascular disease in both type 1 and type 2 diabetes mellitus (DM). Hyperglycemia elicits several pathways related to the etiopathogenesis of cardiovascular disease (CVD), including the generation of advanced glycation end products (AGEs). In this review, we revisit the role played by AGEs in CVD based in clinical trials and experimental evidence. Mechanistic aspects concerning the recognition of AGEs by the advanced glycosylation end product-specific receptor (AGER) and its counterpart, the dolichyl-diphosphooligosaccharide-protein glycosyltransferase (DDOST) and soluble AGER are discussed. A special focus is offered to the AGE-elicited pathways that promote cholesterol accumulation in the arterial wall by enhanced oxidative stress, inflammation, endoplasmic reticulum stress and impairment in the reverse cholesterol transport (RCT).

Real-world use of self-monitoring of blood glucose in people with type 2 diabetes: an urgent need for improvement

AIMS

To assess use of self-monitoring of blood glucose (SMBG) in type 2 diabetes (T2DM) in the context of a continuous quality improvement initiative (AMD Annals).

METHODS

14 quality-of-care indicators were developed, including frequency of SMBG, fasting blood glucose (FBG), and post-prandial glucose (PPG) levels, and hypoglycemia and hyperglycemia episodes. Clinical data and SMBG values downloaded from any glucose meter were obtained from electronic medical records. The most frequently used glucose-lowering treatment regimens were identified and the indicators were assessed separately by regimen.

RESULTS

Overall, 21 Italian centers and 13,331 patients (accounting for 35,657 HbA1c tests and 8.44 million SMBG values collected during 2014 and 2015) were included in the analysis; 11 therapeutic regimens were selected. Patients in regimens not including insulin performed 15-23 measurements per patient-month, those treated with basal insulin 32.1 tests/patient-month, and those treated with basal and short-acting insulin 53-58 tests/patient-month. In all treatment regimens, PPG measurements represented a minority of all tests; pre-breakfast measurements accounted for about 50% of all FBG values. Mean FBG levels exceeded 130 mg/dl in 49.3-88.3% of the cases in the different treatment regimens, while PPG levels were over 140 mg/dl in 46.7-81.0%. From 5.7 to 32.7%, patients in the different regimens had at least one episode of hypoglycemia (< 70 mg/dl), while from 3.7 to 47.7% had at least one episode of hyperglycemia (> 300 mg/dl).

CONCLUSIONS

SMBG is underutilized in patients with T2DM treated or not with insulin. In all treatment groups, PPG is seldom investigated. Poor metabolic control and rates of hyper- and hypoglycemia deserve consideration in all treatment groups.

Perspectives of patients with non-insulin-treated type 2 diabetes on self-monitoring of blood glucose: A qualitative study

AIMS AND OBJECTIVES

To explore experiences of self-monitoring of blood glucose among patients with non-insulin-treated type 2 diabetes.

BACKGROUND

Self-monitoring of blood glucose is essential to diabetes care and facilitates glycaemic control. Patients' perspectives of self-monitoring of blood glucose have seldom been discussed in the literature, and engagement in self-monitoring of blood glucose is consistently low.

DESIGN

The descriptive phenomenological method was used.

METHODS

Purposive sampling was conducted to recruit participants from the endocrinology departments of medical institutions in Taiwan based on the following criteria: (i) having a medical diagnosis of type 2 diabetes, (ii) not being treated with insulin, (iii) having engaged in self-monitoring of blood glucose at least once within the preceding 6 months, (iv) being at least 20 years old and (v) not having any major mental or cognitive disorders. Data were collected in outpatient consultation rooms, the participants' homes and other settings where the participants felt secure and comfortable. In-depth interviews were conducted to collect data from 16 patients with diabetes.

RESULTS

The participants perceived that lifestyle affected blood glucose levels and did not know how to handle high or low blood glucose levels. Their willingness to continue self-monitoring of blood glucose depended on whether healthcare professionals checked or discussed their blood glucose levels with them.

CONCLUSIONS

The patients' knowledge regarding blood glucose variation and healthcare professionals' attitudes affected the patients' self-monitoring of blood glucose behaviours. The empirical findings illustrated self-monitoring of blood glucose experiences and recommended that healthcare professionals' closely attend to patients' requirements and responses to diabetes and incorporate the self-monitoring of blood glucose into therapy plans.

RELEVANCE TO CLINICAL PRACTICE

Healthcare professionals should reinforce patients' knowledge on appropriate responses to high and low blood glucose levels, intervene appropriately, discuss self-monitoring of blood glucose results with patients and track these results.

Impact on Diabetes Self-Management and Glycemic Control of a New Color-Based SMBG Meter

BACKGROUND

Self-monitoring of blood glucose (SMBG) is a key pillar of personal diabetes management. The objective of this observational study was to analyze diabetes self-management (DSM) and glycemic outcomes before and during system implementation in real-life settings of a blood glucose meter system with a color-coded display of glucose levels, which helps identify out-of-range levels.

METHODS

A total of 193 insulin-treated diabetes patients (11% T1DM; 55% male, age 60 ± 4 years, mean diabetes duration 14 ± 9 years, HbA1c 8.68 ± 1.2%) were enrolled into the study. Both the Diabetes Self-Management Questionnaire (DSMQ) and glycemic control were analyzed at baseline and 3 and 6 months after study initiation.

RESULTS

DSMQ general perception improved significantly by the end of the study period ("Sum Scale," P < .05). Moreover, after 6 months patient's attitudes on self-care (Q16, P = .0046) and nutrition ("Dietary Control," P = .004) showed significant improvements. Use of the blood glucose meter resulted in improved glycemic control, as shown by mean HbA1c levels, which decreased from 8.68 ± 1.2% at baseline to 8.13 ± 1.02% after 3 months ( P < .0001) and to 7.9 ± 1.1% at 6 months ( P < .0001). Both patients and diabetes educators agreed in the advantages of the color-coded indicator and on its helpfulness in assisting patients on their diabetes management, as drawn from the results of the self-reported satisfaction questionnaire.

CONCLUSION

This real-world study demonstrates that SMBG implemented via this new blood glucose meter not only leads to an improvement in metabolic control, but also is associated with a significant improvement in diabetes management.

Profiling Patients' Healthcare Needs to Support Integrated, Person-Centered Models for Long-Term Disease Management (Profile): Research Design

Background:

This article presents the design of PROFILe, a study investigating which (bio)medical and non-(bio)medical patient characteristics should guide more tailored chronic care. Based on this insight, the project aims to develop and validate ‘patient profiles’ that can be used in practice to determine optimal treatment strategies for subgroups of chronically ill with similar healthcare needs and preferences.

Methods/Design:

PROFILe is a practice-based research comprising four phases. The project focuses on patients with type 2 diabetes. During the first study phase, patient profiles are drafted based on a systematic literature research, latent class growth modeling, and expert collaboration. In phase 2, the profiles are validated from a clinical, patient-related and statistical perspective. Phase 3 involves a discrete choice experiment to gain insight into the patient preferences that exist per profile. In phase 4, the results from all analyses are integrated and recommendations formulated on which patient characteristics should guide tailored chronic care.

Discussion:

PROFILe is an innovative study which uses a uniquely holistic approach to assess the healthcare needs and preferences of chronically ill. The patient profiles resulting from this project must be tested in practice to investigate the effects of tailored management on patient experience, population health and costs.

Glycemic load, exercise, and monitoring blood glucose (GEM): A paradigm shift in the treatment of type 2 diabetes mellitus

AIMS

This preliminary RCT investigated whether an integrated lifestyle modification program that focuses on reducing postprandial blood glucose through replacing high with low glycemic load foods and increasing routine physical activities guided by systematic self-monitoring of blood glucose (GEM) could improve metabolic control of adults with type 2 diabetes mellitus, without compromising other physiological parameters.

METHODS

Forty-seven adults (mean age 55.3 years) who were diagnosed with type 2 diabetes mellitus for less than 5 years (mean 2.1 years), had HbA1c ≥ 7% (mean 8.4%) and were not taking blood glucose lowering medications, were randomized to routine care or five 1-h instructional sessions of GEM. Assessments at baseline and 6 months included a physical exam, metabolic and lipid panels, and psychological questionnaires.

RESULTS

The GEM intervention led to significant improvements in HbA1c (decreasing from 8.4 to 7.4% [69-57 mmol/mol] compared with 8.3 to 8.3% [68-68 mmol/mol] for routine care; Interaction p<.01) and psychological functioning without compromising other physiological parameters.

CONCLUSIONS

Consistent with a patient-centered approach, GEM appears to be an effective lifestyle modification option for adults recently diagnosed with type 2 diabetes mellitus.

Predictors of response in initial users of metformin and sulphonylurea derivatives: a systematic review

AIM

To provide an overview of factors predicting metformin and sulphonylurea treatment response.

BACKGROUND

A large variability between individuals in treatment response to metformin and sulphonylurea derivatives exists. Understanding which factors determine response to these drugs may pave the way for more individualized therapy.

METHODS

We conducted a systematic search in the MEDLINE, Cochrane and EMBASE databases, between 2003 and 2012 for articles assessing demographic and clinical prediction factors of treatment response in initial users of metformin or sulphonylurea. A literature search of articles referenced within the studies identified was also performed. Treatment response was defined as change in HbA1c level, reaching target HbA1c levels or time to treatment change. Studies were assessed on quality, sample size and type of analysis. Results were summarized by tabulating positive, null and negative associations observed for included predictors.

RESULTS

A total of 10 articles (six trial reports and four cohort studies) were obtained, including three of sufficient quality. For metformin, baseline HbA1c , older age, lower BMI and shorter disease duration were found to be predictors of better treatment response in at least three studies of sufficient quality. For sulphonylurea derivatives, baseline HbA1c and shorter duration were identified as predictors of better treatment response in at least two studies of sufficient quality. Race, smoking status, lipid levels, blood pressure, kidney function and comorbidities were not significantly associated with treatment response.

CONCLUSIONS

Several demographic and clinical factors were identified as possible predictors of response to metformin and sulphonylurea, but the number of studies with sufficient quality was small. Generally, early treatment seems important for achieving better glycaemic outcomes.

Antidiabetic drugs and risk of cancer

Antidiabetic drugs are an important group of medications used worldwide. They differ from each other in the mechanisms of lowering blood glucose as well as in adverse effects that may affect the course of the treatment and its efficacy. In recent years, new drugs have been discovered in order to improve the maintenance of proper blood glucose level and to reduce unwanted effects of these drugs. Their growing administration is related to the increasing incidence of diabetes observed in all countries in the world. Epidemiological data indicate that diabetes increases the risk of cancer, as well as the risk of death linked with neoplasms. It is still unknown whether this is an effect of antidiabetic drugs or just the effect of diabetes itself. In recent years there have been numerous investigations and meta-analyzes, based on both comparative and cohort studies trying to establish the relationship between antidiabetic pharmacotherapy and the incidence and mortality due to cancer. According to their findings, most of antidiabetic drugs increase the risk of cancer while only few of them show antitumor properties. Different mechanisms of action of glucose-lowering drugs may be responsible for these effects. However, most of the published studies concerning the influence of these drugs on cancer incidence were designed with some limitations and differed from each other in the approach. In this review, we discuss the association between antidiabetic drugs used in monotherapy or polytherapy and cancer risk, and consider potential mechanisms responsible for the observed effects.

Algorithms for personalized therapy of type 2 diabetes: results of a web-based international survey

OBJECTIVE

In recent years increasing interest in the issue of treatment personalization for type 2 diabetes (T2DM) has emerged. This international web-based survey aimed to evaluate opinions of physicians about tailored therapeutic algorithms developed by the Italian Association of Diabetologists (AMD) and available online, and to get suggestions for future developments. Another aim of this initiative was to assess whether the online advertising and the survey would have increased the global visibility of the AMD algorithms.

RESEARCH DESIGN AND METHODS

The web-based survey, which comprised five questions, has been available from the homepage of the web-version of the journal Diabetes Care throughout the month of December 2013, and on the AMD website between December 2013 and September 2014. Participation was totally free and responders were anonymous.

RESULTS

Overall, 452 physicians (M=58.4%) participated in the survey. Diabetologists accounted for 76.8% of responders. The results of the survey show wide agreement (>90%) by participants on the utility of the algorithms proposed, even if they do not cover all possible needs of patients with T2DM for a personalized therapeutic approach. In the online survey period and in the months after its conclusion, a relevant and durable increase in the number of unique users who visited the websites was registered, compared to the period preceding the survey.

CONCLUSIONS

Patients with T2DM are heterogeneous, and there is interest toward accessible and easy to use personalized therapeutic algorithms. Responders opinions probably reflect the peculiar organization of diabetes care in each country.

Personalized therapy algorithms for type 2 diabetes: a phenotype-based approach

Type 2 diabetes is a progressive disease with a complex and multifactorial pathophysiology. Patients with type 2 diabetes show a variety of clinical features, including different “phenotypes” of hyperglycemia (eg, fasting/preprandial or postprandial). Thus, the best treatment choice is sometimes difficult to make, and treatment initiation or optimization is postponed. This situation may explain why, despite the existing complex therapeutic armamentarium and guidelines for the treatment of type 2 diabetes, a significant proportion of patients do not have good metabolic control and at risk of developing the late complications of diabetes. The Italian Association of Medical Diabetologists has developed an innovative personalized algorithm for the treatment of type 2 diabetes, which is available online. According to the main features shown by the patient, six algorithms are proposed, according to glycated hemoglobin (HbA_1c, ≥9% or ≤9%), body mass index (≤30 kg/m² or ≥30 kg/m²), occupational risk potentially related to hypoglycemia, chronic renal failure, and frail elderly status. Through self-monitoring of blood glucose, patients are phenotyped according to the occurrence of fasting/preprandial or postprandial hyperglycemia. In each of these six algorithms, the gradual choice of treatment is related to the identified phenotype. With one exception, these algorithms contain a stepwise approach for patients with type 2 diabetes who are metformin-intolerant. The glycemic targets (HbA_1c, fasting/preprandial and postprandial glycemia) are also personalized. This accessible and easy to use algorithm may help physicians to choose a personalized treatment plan for each patient and to optimize it in a timely manner, thereby lessening clinical inertia.

Optimal management of type 2 diabetes in patients with increased risk of hypoglycemia

With the number of individuals diagnosed with type 2 diabetes on the rise, it has become more important to ensure these patients are effectively treated. The Centers for Disease Control and Prevention estimated that 8.3% of all Americans were diagnosed with diabetes in 2011 and this number will likely continue to rise. With lifestyle interventions, such as proper diet and exercise, continuing to be an essential component of diabetes treatment, more patients are requiring medication therapy to help them reach their therapeutic goals. It is important for the clinician, when determining the treatment strategy for these individuals, to find a balance between reaching treatment goals and limiting the adverse effects of the treatments themselves. Of all the adverse events associated with treatment of diabetes, the risk of hypoglycemia is one that most therapies have in common. This risk is often a limiting factor when attempting to aggressively treat diabetic patients. This manuscript will review how hypoglycemia is defined and categorized, as well as discuss the prevalence of hypoglycemia among the many different treatment options.

Management of hyperglycemia in type 2 diabetes: evidence and uncertainty

The panoply of treatment algorithms, periodically released to improve guidance, is one mean to face therapeutic uncertainty in pharmacological management of hyperglycemia in type 2 diabetes, especially after metformin failure. Failure of recent guidelines to give advice on the use of specific antidiabetic drugs in patients with co-morbidity may generate further uncertainty, given the frequent association of type 2 diabetes with common comorbidity, including, although not limited to obesity, cardiovascular disease, impaired renal function, and frailty. The Italian Association of Diabetologists (Associazione Medici Diabetologi, AMD) recognized the need to develop personalized treatment plans for people with type 2 diabetes, taking into account the patients' individual profile (phenotype), with the objective of the safest possible glycemic control. As not every subject with type 2 diabetes benefits from intensive glycemic control, flexible regimens of treatment with diabetes drugs (including insulin) are needed for reaching individualized glycemic goals. Whether personalized diabetology will improve the quality healthcare practice of diabetes management is unknown, but specific research has been launched.

Self-monitoring of blood glucose in type 2 diabetes: recent studies

The increasing role for structured and personalized self-monitoring of blood glucose (SMBG) in management of type 2 diabetes has been underlined by randomized and prospective clinical trials. These include Structured Testing Program (or STeP), St. Carlos, Role of Self-Monitoring of Blood Glucose and Intensive Education in Patients with Type 2 Diabetes Not Receiving Insulin, and Retrolective Study Self-Monitoring of Blood Glucose and Outcome in Patients with Type 2 Diabetes (or ROSSO)-in-praxi follow-up. The evidence for the benefit of SMBG both in insulin-treated and non-insulin-treated patients with diabetes is also supported by published reviews, meta-analyses, and guidelines. A Cochrane review reported an overall effect of SMBG on glycemic control up to 6 months after initiation, which was considered to subside after 12 months. Particularly, the 12-month analysis has been criticized for the inclusion of a small number of studies and the conclusions drawn. The aim of this article is to review key publications on SMBG and also to put them into perspective with regard to results of the Cochrane review and current aspects of diabetes management.

Thyroid safety in patients treated with liraglutide

During the last years, various novel anti-diabetic drugs have considerably enriched the therapeutic armamentarium for subjects with Type 2 diabetes. In the meantime, much interest has recently been focused on the potential cardiovascular and oncological adverse effects of these new therapies. As to glucagon-like peptide 1 (GLP-1) analogs, medullary thyroid tumors were reported to be more common in rodent toxicology studies with liraglutide, although the relevance of this finding in humans has been questioned. Analyses of sequential changes in calcitonin levels in several thousands of subjects did not reveal a relationship between liraglutide therapy and plasma calcitonin. Furthermore, no medullary thyroid cancer has been detected in humans taking liraglutide. Nevertheless, the long-term consequences of sustained GLP-1 receptor activation in the human thyroid remain unknown and deserve further investigation.

Diabetes as a case study of chronic disease management with a personalized approach: the role of a structured feedback loop

As non-communicable or chronic diseases are a growing threat to human health and economic growth, political stakeholders are aiming to identify options for improved response to the challenges of prevention and management of non-communicable diseases. This paper is intended to contribute ideas on personalized chronic disease management which are based on experience with one major chronic disease, namely diabetes mellitus. Diabetes provides a pertinent case of chronic disease management with a particular focus on patient self-management. Despite advances in diabetes therapy, many people with diabetes still fail to achieve treatment targets thus remaining at risk of complications. Personalizing the management of diabetes according to the patient's individual profile can help in improving therapy adherence and treatment outcomes. This paper suggests using a six-step cycle for personalized diabetes (self-)management and collaborative use of structured blood glucose data. E-health solutions can be used to improve process efficiencies and allow remote access. Decision support tools and algorithms can help doctors in making therapeutic decisions based on individual patient profiles. Available evidence about the effectiveness of the cycle's constituting elements justifies expectations that the diabetes management cycle as a whole can generate medical and economic benefit.