Glycemic control over 5 years in 4,900 people with type 2 diabetes: real-world diabetes therapy in a clinical trial cohort

Real-World Analysis of Long-Acting and NPH-Containing Insulins on Glycemic Control

Introduction Affordability of insulin products has become a concern in the past several years as the average price of various insulin products has increased. While awaiting legislation at the federal level that would address issues leading to high insulin costs, providers may have shifted prescribing practices to prescribe the lowest-priced insulin products to achieve patients' treatment goals. Objective To compare the prevalence of hypoglycemic events between patients receiving lower-cost neutral protamine Hagedorn (NPH)-containing human insulins and higher-cost long-acting insulin analogs in Medicare Part D enrollees within a management services organization, as well as assessing glycemic control and changes in body mass index. Methods This was a multicenter, retrospective study conducted at three primary care clinics. The co-primary outcomes were percent difference of documented mild and severe hypoglycemic events between individuals receiving NPH-containing human insulin and long-acting insulin. Results A total of 72 patients met inclusion criteria and were receiving NPH-containing human insulins or the long-acting insulin analogs, 15 and 57 patients, respectively. Severe hypoglycemic events occurred in 3.5% vs 0% of the long-acting insulin analog and NPH-containing human insulin group, respectively (P = 0.999). Mild hypoglycemic episodes were experienced by 31.6% versus 33.3% of long-acting insulin analog and NPH, respectively (P = 0.539). For secondary outcomes, no difference was observed in glycemic control outcomes across insulin groups. Conclusion Among Medicare Part D patients with type 2 diabetes mellitus, the use of NPH-containing human insulins was not associated with an increased risk of mild or severe hypoglycemia-related episodes or reduced glycemic control compared with long-acting insulin. Study findings suggest that lower-cost, NPH-containing human insulins may be an alternative to higher-cost, long-acting insulin analogs.

Glycemic control in newly insulin-initiated patients with type 2 diabetes mellitus: A retrospective follow-up study at a university hospital in Ethiopia

Background

Though many trials had examined the effectiveness of taking insulin with or without oral agents, there are limited real-world data, particularly among patients with type 2 diabetes mellitus (T2DM) in the resource limited settings. This study aimed to examine level of glycemic control among patients with T2DM after initiation of insulin and factors associated with poor glycemic control.

Methods

An analysis of retrospective medical records of patients with T2DM who initiated insulin due to uncontrolled hyperglycemia by oral agents was conducted from 2015–2020 in the University of Gondar Comprehensive Specialized Hospital. Difference in median fasting plasma glucose (FPG) before and after insulin initiations was examined by a Wilcoxon signed-rank test. Kruskal Wallis test was performed to explore difference in the median level of FPG among treatment groups. A logistic regression model was also used to identify associated factors of poor glycemic control after insulin initiation. Statistical significance was declared at p < 0.05.

Results

Of 424 enrolled patients with T2DM, 54.7% were males and the mean age was 59.3±9.3 years. A Wilcoxon signed-rank test showed that there was significant deference in FPG before and after insulin initiation (P < 0.001). A declining trend of blood glucose was observed during the 1-year follow-up period of post-initiation. However, majority of the participants did not achieve target glucose levels. Participants who had higher FPG and systolic blood pressure (SBP) before insulin initiation were found more likely to have poor glycemic control after insulin initiation. Similarly, patients who received atorvastatin compared with simvastatin were found to have poor glycemic control in the post-period of initiation (P = 0.04). Premixed insulin was associated with a lower likelihood of poor glycemic control than neutral protamine Hagedorn (NPH) insulin (P < 0.001).

Conclusion

Following insulin initiation, a significant change in glycemic level and declining trend of FPG was observed during a 1-year follow-up period. However, the majority of patients still had a poorly controlled glycemic level. Appropriate management focusing on predictors of glycemic control would be of a great benefit to achieve glycemic control.

Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study

OBJECTIVE

We investigated the processes underlying glycemic deterioration in type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

A total of 732 recently diagnosed patients with T2D from the Innovative Medicines Initiative Diabetes Research on Patient Stratification (IMI DIRECT) study were extensively phenotyped over 3 years, including measures of insulin sensitivity (OGIS), β-cell glucose sensitivity (GS), and insulin clearance (CLIm) from mixed meal tests, liver enzymes, lipid profiles, and baseline regional fat from MRI. The associations between the longitudinal metabolic patterns and HbA_1c deterioration, adjusted for changes in BMI and in diabetes medications, were assessed via stepwise multivariable linear and logistic regression.

RESULTS

Faster HbA_1c progression was independently associated with faster deterioration of OGIS and GS and increasing CLIm; visceral or liver fat, HDL-cholesterol, and triglycerides had further independent, though weaker, roles (R ² = 0.38). A subgroup of patients with a markedly higher progression rate (fast progressors) was clearly distinguishable considering these variables only (discrimination capacity from area under the receiver operating characteristic = 0.94). The proportion of fast progressors was reduced from 56% to 8-10% in subgroups in which only one trait among OGIS, GS, and CLIm was relatively stable (odds ratios 0.07-0.09). T2D polygenic risk score and baseline pancreatic fat, glucagon-like peptide 1, glucagon, diet, and physical activity did not show an independent role.

CONCLUSIONS

Deteriorating insulin sensitivity and β-cell function, increasing insulin clearance, high visceral or liver fat, and worsening of the lipid profile are the crucial factors mediating glycemic deterioration of patients with T2D in the initial phase of the disease. Stabilization of a single trait among insulin sensitivity, β-cell function, and insulin clearance may be relevant to prevent progression.

Mixed effect machine learning: A framework for predicting longitudinal change in hemoglobin A1c

Accurate and reliable prediction of clinical progression over time has the potential to improve the outcomes of chronic disease. The classical approach to analyzing longitudinal data is to use (generalized) linear mixed-effect models (GLMM). However, linear parametric models are predicated on assumptions, which are often difficult to verify. In contrast, data-driven machine learning methods can be applied to derive insight from the raw data without a priori assumptions. However, the underlying theory of most machine learning algorithms assume that the data is independent and identically distributed, making them inefficient for longitudinal supervised learning. In this study, we formulate an analytic framework, which integrates the random-effects structure of GLMM into non-linear machine learning models capable of exploiting temporal heterogeneous effects, sparse and varying-length patient characteristics inherent in longitudinal data. We applied the derived mixed-effect machine learning (MEml) framework to predict longitudinal change in glycemic control measured by hemoglobin A1c (HbA1c) among well controlled adults with type 2 diabetes. Results show that MEml is competitive with traditional GLMM, but substantially outperformed standard machine learning models that do not account for random-effects. Specifically, the accuracy of MEml in predicting glycemic change at the 1st, 2nd, 3rd, and 4th clinical visits in advanced was 1.04, 1.08, 1.11, and 1.14 times that of the gradient boosted model respectively, with similar results for the other methods. To further demonstrate the general applicability of MEml, a series of experiments were performed using real publicly available and synthetic data sets for accuracy and robustness. These experiments reinforced the superiority of MEml over the other methods. Overall, results from this study highlight the importance of modeling random-effects in machine learning approaches based on longitudinal data. Our MEml method is highly resistant to correlated data, readily accounts for random-effects, and predicts change of a longitudinal clinical outcome in real-world clinical settings with high accuracy.

Association of Initiation of Basal Insulin Analogs vs Neutral Protamine Hagedorn Insulin With Hypoglycemia-Related Emergency Department Visits or Hospital Admissions and With Glycemic Control in Patients With Type 2 Diabetes

IMPORTANCE

In clinical trials of patients with type 2 diabetes, long-acting insulin analogs modestly reduced the risk of nocturnal hypoglycemia compared with human neutral protamine Hagedorn (NPH) insulin, but cost 2 to 10 times more. Outcomes in clinical practice may differ from trial results.

OBJECTIVE

To compare the rates of hypoglycemia-related emergency department (ED) visits or hospital admissions associated with initiation of long-acting insulin analogs vs human NPH insulin in patients with type 2 diabetes.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective observational study using data from Kaiser Permanente of Northern California from January 1, 2006, through September 30, 2015. Patients with type 2 diabetes who initiated a long-acting insulin analog or NPH insulin were included and censored at death, loss of health plan coverage, change in insulin treatment, or study end on September 30, 2015.

EXPOSURE

Initiation of basal insulin analogs (glargine or detemir) vs NPH insulin.

MAIN OUTCOMES AND MEASURES

The primary outcome was the time to a hypoglycemia-related ED visit or hospital admission and the secondary outcome was the change in hemoglobin A1c level within 1 year of insulin initiation.

RESULTS

There were 25 489 patients with type 2 diabetes who initiated basal insulin therapy (mean age, 60.2 [SD, 11.8] years; 51.9% white; 46.8% female). During a mean follow-up of 1.7 years, there were 39 hypoglycemia-related ED visits or hospital admissions among 1928 patients who initiated insulin analogs (11.9 events [95% CI, 8.1 to 15.6] per 1000 person-years) compared with 354 hypoglycemia-related ED visits or hospital admissions among 23 561 patients who initiated NPH insulin (8.8 events [95% CI, 7.9 to 9.8] per 1000 person-years) (between-group difference, 3.1 events [95% CI, -1.5 to 7.7] per 1000 person-years; P = .07). Among 4428 patients matched by propensity score, the adjusted hazard ratio was 1.16 (95% CI, 0.71 to 1.78) for hypoglycemia-related ED visits or hospital admissions associated with insulin analog use. Within 1 year of insulin initiation, hemoglobin A1c level decreased from 9.4% (95% CI, 9.3% to 9.5%) to 8.2% (95% CI, 8.1% to 8.2%) after initiation of insulin analogs and from 9.4% (95% CI, 9.3% to 9.5%) to 7.9% (95% CI, 7.9% to 8.0%) after initiation of NPH insulin (adjusted difference-in-differences for glycemic control, -0.22% [95% CI, -0.09% to -0.37%]).

CONCLUSIONS AND RELEVANCE

Among patients with type 2 diabetes, initiation of a basal insulin analog compared with NPH insulin was not associated with a reduced risk of hypoglycemia-related ED visits or hospital admissions or with improved glycemic control. These findings suggest that the use of basal insulin analogs in usual practice settings may not be associated with clinical advantages for these outcomes.

Trajectories of Glycemic Change in a National Cohort of Adults With Previously Controlled Type 2 Diabetes

BACKGROUND

Individualized diabetes management would benefit from prospectively identifying well-controlled patients at risk of losing glycemic control.

OBJECTIVES

To identify patterns of hemoglobin A1c (HbA1c) change among patients with stable controlled diabetes.

RESEARCH DESIGN

Cohort study using OptumLabs Data Warehouse, 2001-2013. We develop and apply a machine learning framework that uses a Bayesian estimation of the mixture of generalized linear mixed effect models to discover glycemic trajectories, and a random forest feature contribution method to identify patient characteristics predictive of their future glycemic trajectories.

SUBJECTS

The study cohort consisted of 27,005 US adults with type 2 diabetes, age 18 years and older, and stable index HbA1c <7.0%.

MEASURES

HbA1c values during 24 months of observation.

RESULTS

We compared models with k=1, 2, 3, 4, 5 trajectories and baseline variables including patient age, sex, race/ethnicity, comorbidities, medications, and HbA1c. The k=3 model had the best fit, reflecting 3 distinct trajectories of glycemic change: (T1) rapidly deteriorating HbA1c among 302 (1.1%) youngest (mean, 55.2 y) patients with lowest mean baseline HbA1c, 6.05%; (T2) gradually deteriorating HbA1c among 902 (3.3%) patients (mean, 56.5 y) with highest mean baseline HbA1c, 6.53%; and (T3) stable glycemic control among 25,800 (95.5%) oldest (mean, 58.5 y) patients with mean baseline HbA1c 6.21%. After 24 months, HbA1c rose to 8.75% in T1 and 8.40% in T2, but remained stable at 6.56% in T3.

CONCLUSIONS

Patients with controlled type 2 diabetes follow 3 distinct trajectories of glycemic control. This novel application of advanced analytic methods can facilitate individualized and population diabetes care by proactively identifying high risk patients.

Baseline Circulating FGF21 Concentrations and Increase after Fenofibrate Treatment Predict More Rapid Glycemic Progression in Type 2 Diabetes: Results from the FIELD Study

BACKGROUND

It is not known whether circulating fibroblast growth factor 21 (FGF21) concentrations are associated with glycemic progression in patients with established type 2 diabetes. This study reports this relationship in type 2 diabetes patients participating in the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial.

METHODS

Plasma FGF21 was quantified in 9697 study participants. Among patients with lifestyle-only glucose control measures at baseline, glycemic progression was defined as the initiation of oral hypoglycemic agents or insulin therapy. We assessed the relationship of FGF21 concentrations with glycohemoglobin (Hb A1c), the homeostasis model assessment of β-cell function (HOMA-B) and insulin resistance (HOMA-IR), and glycemic progression.

RESULTS

Among 2584 patients with lifestyle-only glycemic therapy at baseline, plasma FGF21 concentrations were positively associated with HOMA-IR (5.1% increase per 100% increase in FGF21 concentrations). Patients with higher baseline plasma FGF21 concentrations had higher risk of glycemic progression over a 5-year period (P = 0.02), but the association was not significant after further adjusting for alanine aminotransferase (ALT) enzyme activity. During the fenofibrate active run-in phase, higher tertiles of fenofibrate-induced increase in FGF21 concentrations were associated with higher risk of glycemic progression (adjusted hazards ratio = 1.09 and 1.18 for tertiles 2 and 3, respectively, P for trend = 0.01), even after adjusting for ALT enzyme activity. This association was statistically significant in the fenofibrate group only (P = 0.01).

CONCLUSIONS

Higher baseline and fenofibrate-induced increase in FGF21 concentrations predict more rapid glycemic progression in type 2 diabetes patients. This association may be partly explained by hepatic function.

Glycaemic control in people with type 2 diabetes mellitus during and after cancer treatment: A systematic review and meta-analysis

BACKGROUND

Cancer and Diabetes Mellitus (DM) are leading causes of death worldwide and the prevalence of both is escalating. People with co-morbid cancer and DM have increased morbidity and premature mortality compared with cancer patients with no DM. The reasons for this are likely to be multifaceted but will include the impact of hypo/hyperglycaemia and diabetes therapies on cancer treatment and disease progression. A useful step toward addressing this disparity in treatment outcomes is to establish the impact of cancer treatment on diabetes control.

AIM

The aim of this review is to identify and analyse current evidence reporting glycaemic control (HbA1c) during and after cancer treatment.

METHODS

Systematic searches of published quantitative research relating to comorbid cancer and type 2 diabetes mellitus were conducted using databases, including Medline, Embase, PsychINFO, CINAHL and Web of Science (February 2017). Full text publications were eligible for inclusion if they: were quantitative, published in English language, investigated the effects of cancer treatment on glycaemic control, reported HbA1c (%/mmols/mol) and included adult populations with diabetes. Means, standard deviations and sample sizes were extracted from each paper; missing standard deviations were imputed. The completed datasets were analysed using a random effects model. A mixed-effects analysis was undertaken to calculate mean HbA1c (%/mmols/mol) change over three time periods compared to baseline.

RESULTS

The available literature exploring glycaemic control post-diagnosis was mixed. There was increased risk of poor glycaemic control during this time if studies of surgical treatment for gastric cancer are excluded, with significant differences between baseline and 12 months (p < 0.001) and baseline and 24 months (p = 0.002).

CONCLUSION

We found some evidence to support the contention that glycaemic control during and/or after non-surgical cancer treatment is worsened, and the reasons are not well defined in individual studies. Future studies should consider the reasons why this is the case.

Alpha-glucosidase inhibitors and hepatotoxicity in type 2 diabetes: a systematic review and meta-analysis

Alpha-glucosidase inhibitors (AGIs) was reported to be associated with several rare adverse hepatic events, but with inconsistent results. We aimed to investigate the risk of hepatotoxicity associated with the use of AGIs in patients with type 2 diabetes mellitus (T2DM), and performed a systematic review and meta-analysis. Fourteen studies (n = 2881) were eligible, all of which were RCTs. Meta-analysis of data regarding elevation of more than 3-fold the upper limit of normal (ULN) of AST and ALT showed statistically significant differences between AGIs treatment versus control (OR 6.86, 95% CI 2.50 to 18.80; OR 6.48, 95% CI 2.40 to 17.49). Subgroup analyses of elevation of more than 1.8-fold ULN of AST and ALT by dose of AGIs showed differential effects on AST and ALT (AST: OR 0.38 vs 7.31, interaction P = 0.003; ALT: OR 0.32 vs 4.55, interaction p = 0.02). Meta-analysis showed that AGIs might increase the risk of hepatotoxicity, and higher dose appeared to be associated with higher risk of hepatotoxicity. However, the evidence is limited with surrogate measures (i.e. ALT and AST), and no clinically important adverse events were observed.

Optimizing insulin initiation in primary care: the Diabetes CoStars patient support program

PURPOSE

The purpose of this study was to evaluate the optimization of fasting blood glucose (FBG) levels in patients with type 2 diabetes mellitus newly initiated on insulin glargine who were enrolled in the Australian Diabetes CoStars Patient Support Program (PSP).

PATIENTS AND METHODS

A retrospective analysis of data from 514 patients with type 2 diabetes mellitus who completed the 12-week Diabetes CoStars PSP was performed. All patients were initiated on insulin glargine in primary care and enrolled by their general practitioner, who selected a predefined titration plan and support from a local Credentialled Diabetes Educator. The data collected included initial and final insulin dose, self-reported FBG, and glycated hemoglobin (A1c) levels.

RESULTS

The insulin dose increased in 81% of patients. Mean FBG was reduced from 208.8 mg/dL (11.6 mmol/L) to 136.8 mg/dL (7.6 mmol/L) after 12 weeks. Initial and final A1c values were available for 99 patients; mean A1c was reduced from 9.5% (80 mmol/mol) to 8.1% (65 mmol/mol). The reductions in mean FBG and A1c were similar irrespective of titration plan. Overall, 27.2% of patients achieved FBG levels within the titration plan target range of 72-108 mg/dL (4-6 mmol/L) and an additional 43.4% of patients achieved FBG within the range recommended by current Australian guidelines (110-144 mg/dL [6.1-8.0 mmol/L]). Overall, 23.3% of patients achieved the A1c target of ≤7%.

CONCLUSION

These data demonstrate that the majority of patients enrolled in the Diabetes CoStars PSP achieved acceptable FBG levels 12 weeks after starting insulin therapy irrespective of titration plan.

Retrospective analysis of safety and efficacy of liraglutide monotherapy and sulfonylurea-combination therapy in Japanese type 2 diabetes: Association of remaining β-cell function and achievement of HbA1c target one year after initiation

AIMS

The GLP-1 receptor agonist liraglutide improves impaired pancreatic β-cell function, thereby exerting glucose-lowering effects. However, the association of remaining β-cell function with long-term therapeutic efficacy of liraglutide remains largely unknown.

METHODS

Patients with type 2 diabetes who started liraglutide as monotherapy or sulfonylurea-combination therapy were retrospectively analyzed to identify possible associations of indices related to β-cell function including increments of C-peptide immunoreactivity in glucagon stimulation test (GST-ΔCPR) with achievement of HbA1c <7.0% at 54weeks after liraglutide initiation.

RESULTS

Among 165 subjects continuing liraglutide for 54weeks, 66 received additional oral anti-diabetic drugs (OADs) during the period. Of those continuing liraglutide without receiving additional OADs, 41 subjects achieved HbA1c <7.0% at 54weeks, while 49 subjects did not. Subjects achieving HbA1c <7.0% showed higher values of GST-ΔCPR. Receiver-operating analysis revealed 2.34ng/mL as the cut-off value for HbA1c <7.0% achievement in these subjects. Subjects with GST-ΔCPR >2.34ng/mL showed continuous and substantial HbA1c reduction throughout the 54weeks. In Kaplan-Meier analysis, subjects with GST-ΔCPR >2.34ng/mL showed longer therapeutic durability of initial liraglutide therapy with no additional OADs or insulin.

CONCLUSIONS

Despite numerous limitations, these results indicate that long-term efficacy of liraglutide is associated with remaining β-cell function at initiation.

What happens when patients require intensification from basal insulin? A retrospective audit of clinical practice for the treatment of type 2 diabetes from four Australian centres

AIMS

Little is known about clinical practices beyond the initiation of basal insulin in patients with type 2 diabetes mellitus (T2DM) in Australia. To determine the proportion of patients who progressed from basal insulin to each of three possible therapy groups: Group 1 addition of rapid-acting insulin, Group 2 switch to pre-mixed insulin, Group 3 addition of another therapy (incretin, glitazone, sulphonylurea, metformin, acarbose).

METHODS

Retrospective audit across four Australian hospital clinics. Patients had a diagnosis of T2DM, basal insulin had been initiated and a subsequent treatment intensification/change had occurred during the analysis period (September 2007-March 2012).

RESULTS

Patients were classified into one of three intensification groups for analysis: Group 1, 56.1% (111/198); Group 2, 22.7% (45/198) and Group 3, 21.2% (42/198). Prior to basal insulin initiation, mean T2DM duration was 11 years. Between starting basal insulin and treatment intensification, 42/183 (22.9%) patients achieved the HbA1c target of <7.0% (53 mmol/mol). Initiation of basal insulin provided temporary improvement in glycaemic control followed by subsequent deterioration. With further treatment intensification, only 40/180 (22.2%) patients achieved the HbA1c target of <7.0% (53 mmol/mol). Patients in the insulin groups gained weight (Group 1, rapid acting insulin, 1.9 ± 7.4 kg; Group 2, premixed insulin 2.3 ± 4.8 kg); those in Group 3 lost weight (-0.9 ± 13.54 kg). Hypoglycaemic episodes were uncommon irrespective of group.

CONCLUSIONS

There is continued need for improved patient management; individualised strategies should focus on when to initiate insulin, how to adjust and optimise doses over time and, when required, the introduction of intensification regimens.

Comparative trends in the incidence of hospitalized myocardial infarction and coronary heart disease in adults with and without diabetes mellitus in Western Australia from 1998 to 2010

BACKGROUND

The risk of myocardial infarction (MI) is elevated in people with diabetes mellitus (DM) compared with non-DM counterparts. The aim of this study was to compare population trends in the incidence of hospitalized MI and coronary heart disease (CHD) in adults with and without DM.

METHODS AND RESULTS

All incident hospitalized MI and CHD events were identified from whole-population hospital data in Western Australia for 1998 to 2010. Annual age-standardized MI and CHD incidence rates were calculated for people with and without DM aged 35 to 84 years and age-adjusted trends estimated from Poisson regression. There were 26 610 incident MI and 56 142 incident CHD cases during the study period. MI incidence rates fell in men (-2.9%/y; 95% confidence interval [CI], -3.7 to -2.1) and women (-3.8%/y; 95% CI, -4.8 to -2.1) with DM, representing overall reductions of 35% and 43% respectively, with comparable reductions in incident CHD. Downward trends in MI incidence in those with DM were most apparent in 55- to 84-year olds. In adults without DM, there was no decline in MI incidence but a small significant decrease in incident CHD (men, -1.5%/y; 95% CI, -1.8 to -1.2 and women, -1.3%/y; 95% CI, -1.8 to -0.9). Incidence rate ratios for MI in men with versus without DM declined from 4.5 (95% CI, 4.2-4.8) to 3.1 (95% CI, 2.9-3.3) and from 6.0 (95% CI, 5.4-6.6) to 3.8 (95% CI, 3.5-4.1) in women between 1998 and 2010.

CONCLUSIONS

There have been significant reductions in incidence rates of MI and CHD in adults with DM between 1998 and 2010; however, the excess risk of MI incidence remains 3 to 4× greater in people with DM.

HDL-C and HDL-C/ApoA-I predict long-term progression of glycemia in established type 2 diabetes

OBJECTIVE

Low HDL cholesterol (HDL-C) and small HDL particle size may directly promote hyperglycemia. We evaluated associations of HDL-C, apolipoprotein A-I (apoA-I), and HDL-C/apoA-I with insulin secretion, insulin resistance, HbA1c, and long-term glycemic deterioration, reflected by initiation of pharmacologic glucose control.

RESEARCH DESIGN AND METHODS

The 5-year Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study followed 9,795 type 2 diabetic subjects. We calculated baseline associations of fasting HDL-C, apoA-I, and HDL-C/apoA-I with HbA1c and, in those not taking exogenous insulin (n = 8,271), with estimated β-cell function (homeostasis model assessment of β-cell function [HOMA-B]) and insulin resistance (HOMA-IR). Among the 2,608 subjects prescribed lifestyle only, Cox proportional hazards analysis evaluated associations of HDL-C, apoA-I, and HDL-C/apoA-I with subsequent initiation of oral hypoglycemic agents (OHAs) or insulin.

RESULTS

Adjusted for age and sex, baseline HDL-C, apoA-I, and HDL-C/apoA-I were inversely associated with HOMA-IR (r = -0.233, -0.134, and -0.230; all P < 0.001; n = 8,271) but not related to HbA1c (all P > 0.05; n = 9,795). ApoA-I was also inversely associated with HOMA-B (r = -0.063; P = 0.002; n = 8,271) adjusted for age, sex, and HOMA-IR. Prospectively, lower baseline HDL-C and HDL-C/apoA-I levels predicted greater uptake (per 1-SD lower: hazard ratio [HR] 1.13 [CI 1.07-1.19], P < 0.001; and HR 1.16 [CI 1.10-1.23], P < 0.001, respectively) and earlier uptake (median 12.9 and 24.0 months, respectively, for quartile 1 vs. quartile 4; both P < 0.01) of OHAs and insulin, with no difference in HbA1c thresholds for initiation (P = 0.87 and P = 0.81). Controlling for HOMA-IR and triglycerides lessened both associations, but HDL-C/apoA-I remained significant.

CONCLUSIONS

HDL-C, apoA-I, and HDL-C/apoA-I were associated with concurrent insulin resistance but not HbA1c. However, lower HDL-C and HDL-C/apoA-I predicted greater and earlier need for pharmacologic glucose control.

Intensification of medication and glycaemic control among patients with type 2 diabetes - the ADVANCE trial

AIMS

The aim of this study was to assess associations between patient characteristics, intensification of blood glucose-lowering treatment through oral glucose-lowering therapy and/or insulin and effective glycaemic control in type 2 diabetes.

METHODS

11 140 patients from the Action in Diabetes and Vascular disease: preterAx and diamicroN-MR Controlled Evaluation (ADVANCE) trial who were randomized to intensive glucose control or standard glucose control and followed up for a median of 5 years were categorized into two groups: effective glycaemic control [haemoglobin A1c (HbA1c) ≤ 7.0% or a proportionate reduction in HbA1c over 10%] or ineffective glycaemic control (HbA1c > 7.0% and a proportionate reduction in HbA1c less than or equal to 10%). Therapeutic intensification was defined as addition of an oral glucose-lowering agent or commencement of insulin. Pooled logistic regression models examined the associations between patient factors, intensification and effective glycaemic control.

RESULTS

A total of 7768 patients (69.7%), including 3198 in the standard treatment group achieved effective glycaemic control. Compared to patients with ineffective control, patients with effective glycaemic control had shorter duration of diabetes and lower HbA1c at baseline and at the time of treatment intensification. Treatment intensification with addition of an oral agent or commencement of insulin was associated with a 107% [odds ratio, OR: 2.07 (95% confidence interval, CI: 1.95-2.20)] and 152% [OR: 2.52 (95% CI: 2.30-2.77)] greater chance of achieving effective glycaemic control, respectively. These associations were robust after adjustment for several baseline characteristics and not modified by the number of oral medications taken at the time of treatment intensification.

CONCLUSIONS

Effective glycaemic control was associated with treatment intensification at lower HbA1c levels at all stages of the disease course and in both arms of the ADVANCE trial.

CYP2C9, KCNJ11 and ABCC8 polymorphisms and the response to sulphonylurea treatment in type 2 diabetes patients

PURPOSE

Sulphonylureas (SU) are widely used in the management of type 2 diabetes. We investigated the influence of CYP2C9, KCNJ11 and ABCC8 polymorphisms on the response to SU currently used in everyday clinical practice.

METHODS

Patients treated for type 2 diabetes with sulphonylurea in monotherapy (n = 21) or in combination with metformin (n = 135) were provided with glucose-monitoring devices and instructed to measure fasting blood glucose levels once per week and additionally at any signs and symptoms suggesting low blood glucose for a period of three months. All patients were genotyped for CYP2C9 rs1799853 and rs1057910 (*2 and *3 allele, respectively), KCNJ11 rs5219 and rs5215, and ABCC8 rs757110.

RESULTS

The average duration of diabetes in the study group was 10.6 ± 7.1 years. Most of the patients achieved relatively good blood glucose control (HbA1c 7.0 ± 0.9). In total, 76 hypoglycemia events were observed (mean 0.48 ± 1.3). No severe hypoglycemia was reported; the lowest blood glucose was 2.1 mmol/l. Although 124 (79.5 %) patients never experienced hypoglycemia, 32 (20.5 %) patients experienced from one to eight events. None of the investigated polymorphisms influenced HbA1c levels or risk for hypoglycemia episodes in the whole group of patients. CYP2C9 genotype significantly influenced the occurrence of hypoglycemia events among the elderly patients (aged 60 years and over; n = 103). Among them, carriers of two wild-type alleles suffered 0.36 ± 0.98 events, while patients with one or two polymorphic alleles had 0.79 ± 1.7 or 2.67 ± 4.6 events, respectively (p = 0.014).

CONCLUSIONS

Our results indicate that the CYP2C9 genotype may influence the risk for hypoglycemia events in elderly patients, but not in the overall population of type 2 diabetes patients.

Impact of hypoglycemia on patients with type 2 diabetes mellitus and their quality of life, work productivity, and medication adherence

BACKGROUND

The purpose of this study was to determine the characteristics of adults with type 2 diabetes mellitus (T2DM) that correlate with greater risk of hypoglycemia and determine the impact of hypoglycemia on health-related quality of life, work productivity, and medication adherence from a patient perspective.

METHODS

Data from a large web-based survey were retrospectively analyzed. Adults with a diagnosis of T2DM taking antihyperglycemic agents were included in the analysis. Participants with knowledge of their hypoglycemic history were divided into three groups: those experiencing recent hypoglycemia (previous 3 months), those experiencing nonrecent hypoglycemia, and those never experiencing hypoglycemia.

RESULTS

Of the participants with T2DM taking antihyperglycemic agents who were knowledgeable of their hypoglycemia history, 55.7% had ever experienced hypoglycemia. Of those, 52.7% had recent hypoglycemia. Compared with those who never experienced hypoglycemia, those who experienced hypoglycemia tended to: be younger; be more aware of their glycated hemoglobin (HbA1c) levels; have higher HbA1c levels; have a higher body mass index; have higher Charlson Comorbidity Index scores; be on insulin, sulfonylureas, and/or glucagon-like peptide-1 agonists; and be less adherent to their antihyperglycemic agents. Hypoglycemia interfered with social activities, caused more missed work (absenteeism), more impairment while at work (presenteeism), and decreased overall work productivity compared with patients who had never experienced hypoglycemia. Overall health-related quality of life, as determined by the Short Form-36 health questionnaire, was negatively impacted by hypoglycemia. Both Physical and Mental Summary scores were significantly lower for the recent hypoglycemia and nonrecent hypoglycemia groups compared with the never hypoglycemia group.

CONCLUSION

Hypoglycemia can negatively impact many aspects of life. Greater awareness of those who are at risk for developing hypoglycemia can lead to the development of measures (eg, patient and physician education) to prevent future hypoglycemia episodes.

Glycemic control among patients with type 2 diabetes who initiate basal insulin: a retrospective cohort study

OBJECTIVE

To examine changes in glycemic control for patients with type 2 diabetes mellitus (T2DM) after initiation of basal insulin and factors associated with improved glycemic control.

METHODS

An analysis of retrospective medical records of patients with T2DM was examined using Humedica's electronic medical records database (January 2007-August 2012). Patients with T2DM, initiating basal insulin, age ≥ 21 years, with a recorded HbA1c test in both the 1 year prior and the 2 years post-initiation were included. A multivariate regression examined factors associated with changes in glycemic control. Logistic regressions examined factors associated with improvements or worsening of glycemic control, compared to relatively unchanged glycemic control.

RESULTS

Many (14,457) individuals met the inclusion-exclusion criteria. Multivariate analyses revealed that older age (p < 0.0001), residence in the Western region of the US (vs South) (p < 0.0001), Medicare insurance vs Medicaid or being uninsured (p = 0.0138), and higher household income (p = 0.0065) were associated with improved glycemic control. Patients diagnosed with comorbid peripheral vascular disease (p = 0.0072), cancer (p = 0.0019), obesity (p = 0.0002), moderate (p = 0.0103), and severe chronic kidney disease (p < 0.0001), or end-stage renal disease (p = 0.0075) in the pre-period were found to have significantly improved glycemic control in the post-period. Use of prandial insulin (p = 0.0087), pre-mix insulin (p = 0.0003) in the pre-period, a higher pre-period HbA1c score (p < 0.0001), and longer duration between pre-period and post-period HbA1c testing (p < 0.0001) were significantly associated with higher HbA1c levels in the post-period.

LIMITATIONS

Analyses rely on electronic medical records which cannot capture patient healthcare utilization occurring outside of the data capture system. Analyses do not control for insulin dosage or type of basal insulin prescribed.

CONCLUSIONS

Among patients with T2DM treated with basal insulin, a number of factors may influence glycemic outcomes. These findings suggest a role for a more personalized approach to the treatment of patients with T2DM.

Retrospective analysis of safety and efficacy of insulin-to-liraglutide switch in Japanese type 2 diabetes: A caution against inappropriate use in patients with reduced β-cell function

Aims/Introduction

The safety and efficacy of insulin‐to‐liraglutide switch in type 2 diabetes has not been studied adequately. Here, we retrospectively characterize clinical parameters that might predict insulin‐to‐liraglutide treatment switch without termination due to hyperglycemia, and examine the effects of switching the therapies on glycated hemoglobin (HbA_1c) and bodyweight in Japanese type 2 diabetes.

Materials and Methods

Japanese type 2 diabetes patients who underwent the switch of therapy were evaluated for their clinical data including β‐cell function‐related indices, such as increment of serum C‐peptide during glucagon stimulation test (GST‐ΔCPR). HbA_1c and bodyweight were analyzed in patients continuing with liraglutide after switching from insulin for 12 weeks.

Results

Of 147 patients, 28 failed in the switch due to hyperglycemia, nine failed because of other reasons and 110 continued with liraglutide for the 12‐week period. Patients failing in the switch due to hyperglycemia showed longer duration and higher daily insulin dose, as well as lower GST‐ΔCPR. Receiver–operating characteristic analysis showed that GST‐ΔCPR of 1.34 ng/mL is a cut‐off point for insulin‐to‐liraglutide switch without termination due to hyperglycemia. In patients continuing liraglutide for 12 weeks, the switch significantly reduced HbA_1c and bodyweight with no severe hypoglycemia, irrespective of sulfonylurea co‐administration, body mass index, duration and total daily insulin dose. The switch also significantly reduced the percentage of body fat and visceral fat areas.

Conclusions

Insulin‐to‐liraglutide switch can improve glycemic control and reduce bodyweight in Japanese type 2 diabetes patients. However, caution must be taken with the switch in patients with reduced insulin secretory capacity as predicted by GST‐ΔCPR.

Age ≥ 60 years was an independent risk factor for diabetes-related complications despite good control of cardiovascular risk factors in patients with type 2 diabetes mellitus

Providing effective medical care for older patients with type 2 diabetes mellitus (T2D) that may contribute to their active aging has always been challenging. We examined the independent effect of age ≥ 60 years on disease control and its relationship with diabetes-related complications in patients with T2D in Malaysia. This was a cross-sectional study using secondary data from the electronic diabetes registry database Adult Diabetes Control and Management (ADCM). A total of 303 centers participated and contributed a total of 70,889 patients from May 2008 to the end of 2009. Demographic data, details on diabetes, hypertension, dyslipidemia and their treatment modalities, various risk factors and complications were updated annually. Independent associated risk factors were identified using multivariate regression analyses. Fifty-nine percent were female. Malay comprised 61.9%, Chinese 19% and Indian 18%. There were more Chinese, men, longer duration of diabetes and subjects that were leaner or had lower BMI in the older age group. Patients aged ≥ 60 years achieved glycemic and lipid targets but not the desired blood pressure. After adjusting for duration of diabetes, gender, ethnicity, body mass index, disease control and treatment, a significantly higher proportion of patients ≥ 60 years suffered from reported diabetes-related complications. Age ≥ 60 years was an independent risk factor for diabetes-related complications despite good control of cardiovascular risk factors. Our findings caution against the currently recommended control of targets in older T2D patients with more longstanding diseases and complications.

Lifestyle modifications and surgical options in the treatment of patients with obesity and type 2 diabetes mellitus

This article reviews recent developments in the behavioral and surgical treatment of obesity and type 2 diabetes mellitus (T2DM). Randomized controlled trials of comprehensive lifestyle-modification programs, which include dietary interventions, physical activity, and behavioral therapy, have shown weight losses of 7% to 10% of initial body weight within 4 to 6 months after treatment. These programs also reduce the likelihood of developing T2DM by 58% for individuals with impaired glucose tolerance. Long-term maintenance of these improvements requires continued implementation of the program diet, physical activity, and self-regulatory behaviors. This can be successfully facilitated by continued patient-provider contact, which is frequently delivered by phone, mail, email, or online. However, these benefits may have less impact on those with extreme obesity or more significant health problems. For these individuals, bariatric surgery may be a more appropriate treatment. Bariatric surgical procedures induce mean weight losses of 15% to 30% of initial body weight (depending on the procedure) within 2 years after surgery, as well as a 45% to 95% rate of diabetes remission. Familiarity with these developments can help physicians and patients to determine which combinations of behavioral, medical, and surgical interventions are appropriate for the treatment of obesity and T2DM.

Is thiazolidinediones use a factor in delaying the need for insulin therapy in type 2 patients with diabetes? A population-based cohort study

OBJECTIVE

To understand the independent role of thiazolidinediones (TZDs) in delaying progression to parenteral insulin therapy.

DESIGN

Population-based retrospective cohort study.

SETTING

British Columbia, Canada.

PARTICIPANTS

A total of 18 867 type 2 diabetes patients (mean age 58.9) treated with metformin as first-line therapy who then switched or added a TZD or sulphonylurea as a second-line treatment between 1 January 1998 and 31 March 2008.

OUTCOME MEASURES

Multivariable Poisson regression models were used to estimate the effect of using TZD compared to sulphonylureas on time to the initiation of insulin treatment (third-line).

RESULTS

The adjusted rate difference in women aged <60 showed 2.22 fewer insulin initiation events per 100 person-years (PYs) in the TZD group versus the sulphonylurea group (95% CI -3.46 to -0.99). Men in the same age group had 1.50 fewer insulin initiation events per 100 PYs in the TZD group versus the sulphonylurea group (95% CI -2.44 to -0.56). The average time in days to initiation on insulin in the sulphonylurea, rosiglitazone and pioglitazone group was 343, 252 and 339, respectively. The cumulative hazard for starting insulin for sulphonylurea patients at 12, 24, 36 and 48 months was approximately three times higher compared to TZD patients.

CONCLUSIONS

Second-line TZD therapy compared to second-line sulphonylurea therapy was associated with a lower incidence of insulin initiation as third-line treatment in patients with type 2 diabetes, with a mean delay of 90 days. This duration of delay must be weighed against the absence of a proven reduction in morbidity or mortality with TZDs and their known serious cardiovascular harm.

Patterns and predictors of long-term glycemic control in patients with type 2 diabetes

Aims/Introduction. To describe patterns of long-term glycemic control among patients with type 2 diabetes in Isfahan, Iran and identify factors associated with glycemic control. Methods. During the mean (standard deviation (SD)) follow-up period of 8.4 (4.2) (range 1-18) years, 4,582 patients with type 2 diabetes have been examined to determine glycemic changes. Their glycated hemoglobin (GHb) at the last clinic visit was compared with the initial visit data. The mean (SD) age of participants was 49.3 (9.6) years with a mean (SD) duration of diabetes of 5.0 (5.1) years at initial registration. Results. Mean (SD) GHb was 8.7% (2.3) at baseline and 7.9% (1.9) at the study end and decreased by mean of 0.8% (95% confidence interval (CI) 0.74, 0.87; P < 0.001) and varied by the severity of baseline GHb. 74.6% at the initial visit versus 64.4% at the last clinic visit had GHb values above the target level of 7.0%. Using a stepwise multiple regression models, age, higher GHb, FPG, follow-up period, and number of follow-up visits increased and higher systolic BP and female gender significantly decreased the percent glycemic change. Conclusions. This study highlights that more than 64.4% of the patients have GHb values higher than 7.0% at last clinic visit andindicatesthe difficult challenges physicians face when treating their patients with type 2 diabetes. Clinical efforts should focus on more effective methods for glycemic control in diabetic patients.