What are the factors associated with long-term glycaemic control in patients with type 2 diabetes and elevated glycated haemoglobin (≥7.0%) at initiation of second-line therapy? Results from the DISCOVER study.

AIMS: Glycaemic control is a cornerstone of type 2 diabetes (T2D) management. We assessed factors associated with good long-term glycaemic control in patients with glycated haemoglobin (HbA1c) ≥7.0% at initiation of second-line glucose-lowering therapy, using data from DISCOVER, a global, prospective, 3-year observational study of patients with T2D. MATERIALS AND METHODS: This analysis included patients with HbA1c ≥7.0% at baseline (initiation of second-line therapy). Multivariable regression models assessed factors associated with having HbA1c <7.0% at 3 years in two distinct groups: patients with (a) HbA1c ≥7.0% and <9.0%, and (b) HbA1c ≥9.0% at baseline. RESULTS: In total, 7575 patients with baseline HbA1c ≥7.0% were included (2233 with baseline HbA1c ≥9.0%). At 6 months, 43.7% and 24.2% of patients had an HbA1c level <7.0% in groups a and b, respectively; the corresponding proportions at 3 years were 45.8% and 29.3%. Having HbA1c <7.0% at 6 months (vs. ≥7.0%) was the strongest predictor of having HbA1c <7.0% at 3 years in both group a and group b [odds ratio (95% confidence interval): 2.01 (1.77-2.27) and 2.68 (2.10-3.41), respectively]. Longer T2D duration was associated with a decreased likelihood of having HbA1c <7.0% at 3 years. CONCLUSIONS: In patients with poor glycaemic control at initiation of second-line therapy, early attainment of HbA1c <7.0% appears predictive of long-term glycaemic control, suggesting that timely modification of treatment strategies in patients with elevated HbA1c after 6 months is important to minimize therapeutic inertia.

Associations between second-line glucose-lowering combination therapies with metformin and HbA1c, body weight, quality of life, hypoglycaemic events and glucose-lowering treatment intensification: The DISCOVER study.

AIM: To explore the effects of second-line combination therapies with metformin on body weight, HbA1c and health-related quality of life, as well as the risks of hypoglycaemia and further treatment intensification in the DISCOVER study, a 3-year, prospective, global observational study of patients with type 2 diabetes initiating second-line glucose-lowering therapy. MATERIALS AND METHODS: Adjusted changes from baseline in weight, HbA1c and 36-item Short Form Health Survey version 2 (SF-36v2) summary scores at 6, 12, 24 and 36 months were assessed using linear mixed models. Risk of hypoglycaemia and further intensification were assessed using interval censored analyses. RESULTS: At baseline, 7613 patients received metformin in combination with a sulphonylurea (SU; 40.9%), a dipeptidyl peptidase-4 (DPP-4) inhibitor (48.3%), a sodium-glucose co-transporter-2 (SGLT-2) inhibitor (8.3%) or a glucagon-like peptide-1 (GLP-1) receptor agonist (2.4%). After 36 months, all combinations showed similar reductions in HbA1c (0.8%-1.0%), however, metformin plus a DPP-4 inhibitor, an SGLT-2 inhibitor or a GLP-1 receptor agonist was associated with greater weight loss (1.9, 2.9 and 5.0 kg, respectively) than metformin plus an SU (1.3 kg, P < .0001). Proportions of further treatment intensification were similar across combinations (19.9%-26.2%). Patients prescribed metformin plus an SU more often reported one or more hypoglycaemic events (11.9%) than other combinations (3.9%-6.4%, P < .0001). SF-36v2 summary scores were typically lowest among patients prescribed metformin and an SU. CONCLUSIONS: Combinations of metformin with an SU were associated with the lowest weight reduction, highest risk of hypoglycaemia and lower SF-36v2 scores.

Cardiovascular events and all-cause mortality associated with sulphonylureas compared with other antihyperglycaemic drugs: A Bayesian meta-analysis of survival data.

AIM: To conduct a systematic review and meta-analysis to determine the risk of cardiovascular events and all-cause mortality associated with sulphonylureas (SUs) vs other glucose lowering drugs in patients with T2DM (T2DM). MATERIALS AND METHODS: A systematic review of Medline, Embase, Cochrane and clinicaltrials.gov was conducted for studies comparing SUs with placebo or other antihyperglycaemic drugs in patients with T2DM. A cloglog model was used in the Bayesian framework to obtain comparative hazard ratios (HRs) for the different interventions. For the analysis of observational data, conventional fixed-effect pairwise meta-analyses were used. RESULTS: The systematic review identified 82 randomized controlled trials (RCTs) and 26 observational studies. Meta-analyses of RCT data showed an increased risk of all-cause mortality and cardiovascular-related mortality for SUs compared with all other treatments combined (HR 1.26, 95% confidence interval [CI] 1.10-1.44 and HR 1.46, 95% CI 1.21-1.77, respectively). The risk of myocardial infarction was significantly higher for SUs compared with dipeptidyl peptidase-4 (DPP-4) inhibitors and sodium-glucose co-transporter-2 inhibitors (HR 2.54, 95% CI 1.14-6.57 and HR 41.80, 95% CI 1.64-360.4, respectively). The risk of stroke was significantly higher for SUs than for DPP-4 inhibitors, glucagon-like peptide-1 agonists, thiazolidinediones and insulin. CONCLUSIONS: The present meta-analysis showed an association between SU therapy and a higher risk of major cardiovascular disease-related events compared with other glucose lowering drugs. Results of ongoing RCTs, which should be available in 2018, will provide definitive results on the risk of cardiovascular events and all-cause mortality associated with SUs vs other antihyperglycaemic drugs.

Cost Analysis of the STONE Randomized Trial: Can Health Care Costs be Reduced One Test at a Time?

BACKGROUND: Decreasing the use of high-cost tests may reduce health care costs. OBJECTIVE: To compare costs of care for patients presenting to the emergency department (ED) with suspected kidney stones randomized to 1 of 3 initial imaging tests. RESEARCH DESIGN: Patients were randomized to point-of-care ultrasound (POC US, least costly), radiology ultrasound (RAD US), or computed tomography (CT, most costly). Subsequent testing and treatment were the choice of the treating physician. SUBJECTS: A total of 2759 patients at 15 EDs were randomized to POC US (n=908), RAD US, (n=893), or CT (n=958). Mean age was 40.4 years; 51.8% were male. MEASURES: All medical care documented in the trial database in the 7 days following enrollment was abstracted and coded to estimate costs using national average 2012 Medicare reimbursements. Costs for initial ED care and total 7-day costs were compared using nonparametric bootstrap to account for clustering of patients within medical centers. RESULTS: Initial ED visit costs were modestly lower for patients assigned to RAD US: $423 ($411, $434) compared with patients assigned to CT: $448 ($438, $459) (P<0.0001). Total costs were not significantly different between groups: $1014 ($912, $1129) for POC US, $970 ($878, $1078) for RAD US, and $959 ($870, $1044) for CT. Hospital admissions contributed over 50% of total costs, though only 11% of patients were admitted. Mean total costs (and admission rates) varied substantially by site from $749 to $1239. CONCLUSIONS: Assignment to a less costly test had no impact on overall health care costs for ED patients. System-level interventions addressing variation in admission rates from the ED might have greater impact on costs.

The financial impact of a pediatric telemedicine program: a children's hospital's perspective.

INTRODUCTION: This study evaluates the financial impact of telemedicine outreach in a competitive healthcare market from a tertiary children's hospital's perspective. We compared the number of transfers, average hospital revenue, and average professional billing revenue before and after the deployment of telemedicine. MATERIALS AND METHODS: This is a retrospective review of hospital and physician billing records for patients transferred from 16 hospitals where telemedicine services were implemented between July 2003 and December 2010. Hospital revenue was defined as total revenue minus operating costs. Professional billing revenue was defined as total payment received as the result of physician billing of patients' insurance. We compared the number of transfers, average net hospital revenue per year, and average professional billing revenue per year before and after the deployment of telemedicine at these hospitals. RESULTS: There were 2,029 children transferred to the children's hospital from the 16 hospitals with telemedicine during the study period. The average number of patients transferred per year to the children's hospital increased from 143 pre-telemedicine to 285 post-telemedicine. From these patients, the average hospital revenue increased from $2.4 million to $4.0 million per year, and the average professional billing revenue increased from $313,977 to $688,443 per year. On average, per hospital, following the deployment of telemedicine, hospital revenue increased by $101,744 per year, and professional billing revenue increased by $23,404 per year. CONCLUSIONS: In a competitive healthcare region with more than one children's hospital, deploying pediatric telemedicine services to referring hospitals resulted in an increased market share and an increased number of transfers, hospital revenue, and professional billing revenue.

Early versus late intensification of glucose-lowering therapy in patients with type 2 diabetes: Results from the DISCOVER study.

AIMS: To assess the effects of glycated haemoglobin (HbA1c) levels at time of glucose-lowering treatment intensification in DISCOVER, a global observational study of patients with type 2 diabetes (T2D) initiating second-line therapy. Outcomes of interest were glycaemic control, hypoglycaemia, and need for further intensification during 3 years of follow-up. METHODS: We included patients who intensified treatment (add-on or insulin initiation) upon initiation of second-line therapy (baseline). Outcomes were assessed according to baseline HbA1c: HbA1c ≤ 7·5% (early intensification) or HbA1c > 7·5% (late intensification). Factors associated with early or late intensification were assessed using multivariate logistic regression. RESULTS: Of the 9575 patients included, 3275 (34·2%) intensified treatment early and 6300 (65·8%) intensified treatment late. During follow-up, mean (SD) HbA1c was lower in the early- than in the late-intensification group (6·9% [0·95%] vs 7·5% [1·28%] at 36 months). More patients had HbA1c < 7·0% in the early- than in the late-intensification group (61·8% vs 37·9% at 36 months; p < 0·001). The risk of further intensification was higher in the late-intensification group (hazard ratio 1·88 [95% confidence interval 1·68-2·09]). Occurrence of hypoglycaemia was similar in both groups. CONCLUSIONS: Late intensification of glucose-lowering therapy after first-line treatment failure reduces the likelihood of reaching recommended treatment goals.

Health-related quality of life in patients with type 2 diabetes initiating a second-line glucose-lowering therapy: The DISCOVER study.

AIM: To investigate factors associated with health-related quality of life (HRQoL) in patients with type 2 diabetes mellitus (T2D) at initiation of second-line glucose-lowering therapy. METHODS: DISCOVER is a 3-year, prospective observational study of patients with T2D initiating second-line glucose-lowering therapy, conducted in 38 countries. HRQoL at baseline was assessed using the physical and mental component summary (PCS; MCS) scores of the 36-Item Short Form Health Survey version 2 (SF-36v2) in 31 countries (n = 8309) and the Hypoglycaemia Fear Survey-II (HFS-II) in 23 countries (n = 6516). Factors associated with differences in HRQoL were assessed using multivariable hierarchical regression models. RESULTS: Mean PCS and MCS scores were 48.0 (standard deviation [SD]: 7.8) and 45.5 (SD: 10.4), respectively. Factors associated with significantly lower SF-36v2 scores included being female, having a history of macrovascular complications and first-line treatment with oral combinations (vs metformin monotherapy). Mean HFS-II behaviour and worry scores were 8.2 (SD: 9.9) and 7.3 (SD: 11.8), respectively. Increased fear of hypoglycaemia was significantly associated with lower SF-36v2 scores. CONCLUSIONS: Several patient-, disease- and treatment-related characteristics correlated with HRQoL, indicating that a multifactorial approach is needed to maintain HRQoL in patients with T2D.

Adherence to NICE guidance on glucagon-like peptide-1 receptor agonists among patients with type 2 diabetes mellitus: an evaluation using the Clinical Practice Research Datalink.

AIMS: To assess adherence to the UK's National Institute for Health and Care Excellence (NICE) guidelines for initiating and continuing glucagon-like peptide-1 (GLP-1) receptor agonists in patients with type 2 diabetes (T2DM). RESEARCH DESIGN AND METHODS: A retrospective cohort study of 7133 primary care patients ≥40 years with a first prescription for a GLP-1 receptor agonist following publication of NICE guideline/guidance. Patient characteristics and levels of clinical monitoring were assessed using descriptive analyses. MAIN OUTCOME MEASURES: Main outcomes were the proportion of patients initiating GLP-1 receptor agonists as part of NICE-recommended dual- or triple-therapy regimens; the proportions meeting NICE triple therapy initiation criteria (glycosylated hemoglobin [HbA1c] ≥7.5% and body mass index [BMI] ≥35 kg/m(2)) and the proportions continuing GLP-1 receptor agonist at 6 months according to NICE recommendations. RESULTS: Mean age at initiating GLP-1 receptor agonists was 58.2 years (SD 9.4), BMI 38.4 kg/m(2) (SD 6.8) and HbA1c 9.2% (SD 3.2%). Overall, only 25% of patients initiated GLP-1 receptor agonists as part of a NICE-recommended regimen. Of patients initiated on a recommended triple-therapy regimen, 50% (646/1284) fulfilled both NICE HbA1c and BMI initiation criteria. Approximately 18% (32/174) of patients continuing NICE-recommended dual therapy at 6 months achieved a 1% reduction in HbA1c and 6.4% (33/515) continuing with NICE-recommended triple therapy achieved NICE's target reductions for both HbA1c and body weight. About 8% of patients continuing exenatide as triple therapy (N = 243) achieved both targets. CONCLUSIONS: Adherence to NICE guidance for initiating and continuing GLP-1 receptor agonists is low. However, lack of data on ethnicity (for assessing NICE's BMI criteria) and on contraindications and/or hypersensitivity to other diabetes medication in the treatment pathway have limited our ability to fully assess adherence to GLP-1 prescribing. Further research is warranted to better understand general practitioners' prescribing decisions given the cost of prescribing GLP-1 receptor agonists.

The social costs of dangerous products: an empirical investigation.

Defective consumer products impose significant costs on consumers and third parties when they cause fatalities and injuries. This Article develops a novel approach to measuring the true extent of such costs, which may not be accurately captured under current methods of estimating the cost of dangerous products. Current analysis rests on a narrowly defined set of costs, excluding certain types of costs. The cost-of-injury estimates utilized in this Article address this omission by quantifying and incorporating these costs to provide a more complete picture of the true impact of defective consumer products. The new estimates help to gauge the true value of the civil liability system.