Hypoglycaemia in Type 2 diabetes

The primary cause of hypoglycaemia in Type 2 diabetes is diabetes medication-in particular, those which raise insulin levels independently of blood glucose, such as sulphonylureas (SUs) and exogenous insulin. The risk of hypoglycaemia is increased in older patients, those with longer diabetes duration, lesser insulin reserve and perhaps in the drive for strict glycaemic control. Differing definitions, data collection methods, drug type/regimen and patient populations make comparing rates of hypoglycaemia difficult. It is clear that patients taking insulin have the highest rates of self-reported severe hypoglycaemia (25% in patients who have been taking insulin for > 5 years). SUs are associated with significantly lower rates of severe hypoglycaemia. However, large numbers of patients take SUs in the UK, and it is estimated that each year > 5000 patients will experience a severe event caused by their SU therapy which will require emergency intervention. Hypoglycaemia has substantial clinical impact, in terms of mortality, morbidity and quality of life. The cost implications of severe episodes-both direct hospital costs and indirect costs-are considerable: it is estimated that each hospital admission for severe hypoglycaemia costs around pound1000. Hypoglycaemia and fear of hypoglycaemia limit the ability of current diabetes medications to achieve and maintain optimal levels of glycaemic control. Newer therapies, which focus on the incretin axis, may carry a lower risk of hypoglycaemia. Their use, and more prudent use of older therapies with low risk of hypoglycaemia, may help patients achieve improved glucose control for longer, and reduce the risk of diabetic complications.

The impact of non-severe hypoglycemic events on work productivity and diabetes management

OBJECTIVES

Hypoglycemia is a common complication of treatment with certain diabetes drugs. Non-severe hypoglycemic events (NSHEs) occur more frequently than severe events and account for the majority of total events. The objective of this multi-country study was to identify how NSHEs in a working population affect productivity, costs, and self-management behaviors.

METHODS

A 20-minute survey assessing the impact of NSHEs was administered via the Internet to individuals (≥ 18 years of age) with self-reported diabetes in the United States, United Kingdom, Germany, and France. The analysis sample consisted of all respondents who reported an NSHE in the past month. Topics included: reasons for, duration of, and impact of NSHE(s) on productivity and diabetes self-management.

RESULTS

A total of 1404 respondents were included in this analysis. Lost productivity was estimated to range from $15.26 to $93.47 (USD) per NSHE, representing 8.3 to 15.9 hours of lost work time per month. Among individuals reporting an NSHE at work (n = 972), 18.3% missed work for an average of 9.9 hours (SD 8.4). Among respondents experiencing an NSHE outside working hours (including nocturnal), 22.7% arrived late for work or missed a full day. Productivity loss was highest for NSHEs occurring during sleep, with an average of 14.7 (SD 11.6) working hours lost. In the week following the NSHE, respondents required an average of 5.6 extra blood glucose test strips. Among respondents using insulin, 25% decreased their insulin dose following the NSHE.

CONCLUSIONS

NSHEs are associated with substantial economic consequences for employers and patients. Greater attention to treatments that reduce NSHEs could have a major, positive impact on lost work productivity and overall diabetes management.

Costs of managing severe hypoglycaemia in three European countries

OBJECTIVES

To assess the costs of severe hypoglycaemic events (SHEs) in diabetes patients in Germany, Spain and the UK.

METHODS

Healthcare resource use was measured by surveying 639 patients aged ≥ 16 years, receiving insulin for type 1 (n=319) or type 2 diabetes (n=320), who experienced ≥ 1 SHE in the preceding year. Patients were grouped by location of SHE treatment: group 1, community (family/domestic); group 2, community (healthcare professional); group 3, hospital. Costs were calculated from published unit costs applied to estimated resource use. Costs per SHE were derived from patient numbers per subgroup. Weighted average costs were derived using a prevalence database.

RESULTS

Hospital treatment was a major cost in all countries. In Germany and Spain, costs per SHE for type 1 patients differed from those for type 2 patients in each group. Average SHE treatment costs were higher for patients with type 2 diabetes (Germany, €533; Spain, €691; UK, €537) than type 1 diabetes patients (€441, €577 and €236, respectively). Telephone calls, visits to doctors, blood glucose monitoring and patient education contributed substantially to costs for non-hospitalised patients.

CONCLUSIONS

Treatment of SHEs adds significantly to healthcare costs. Average costs were lower for type 1 than for insulin-treated type 2 diabetes, in all three countries.

The economic and quality of life impact of hypoglycemia

Hypoglycemia is an often underrecognized side effect of type 2 diabetes therapy. This study assessed the burden of hypoglycemia in this population in Sweden and included 309 patients aged 35 years or older and treated with insulin and/or oral antidiabetic agents. Data were gathered through patient questionnaires/interviews and chart reviews. The results showed that 115 patients (37%) reported symptoms of hypoglycemia during the preceding month. Patients with hypoglycemia were more affected by their diabetes, reported lower general health, and were more anxious about hypoglycemia than those without hypoglycemia. The direct and indirect costs of hypoglycemia per patient with hypoglycemic symptoms were estimated to be U.S. $12.9 and $14.1, respectively, for a 1-month period. The results indicate that hypoglycemia is common, and that a reduction in these symptoms, without reducing glycemic control, may improve patient well-being and possibly also reduce cost.

Flash forward: a review of flash glucose monitoring

The FreeStyle Libre flash glucose monitor became available on prescription (subject to local health authority approval) in all four nations of the UK from November 2017, a watershed moment in the history of diabetes care. Calibration free, the FreeStyle Libre is a disc worn on the arm for 14 days which is designed largely to replace the recommended 4-10 painful finger-stick blood glucose tests required each day for the self-management of diabetes. This review discusses clinical data from randomized and observational studies, considers device accuracy metrics and deliberates its popularity and the potential challenges that this new device brings to diabetes care in the UK. In randomized trials, FreeStyle Libre use is associated with a reduction in hypoglycaemia and, in observational studies, improvements in HbA_1c levels. User satisfaction is high and adverse events are low. Accuracy of the FreeStyle Libre is comparable to currently available real-time continuous glucose monitors in adults, children and during pregnancy; the cost of the FreeStyle Libre is lower. Glucose data can be visualized in multiple devices and platforms, and summarized in an ambulatory glucose profile to aid pattern recognition and insulin dose adjustment. There is a need for appropriate education, of both users and healthcare professionals, to harness the full benefits. Further randomized studies to assess the long-term impact on HbA_1c , particularly in those with high baseline HbA_1c and in specific age groups, such as adolescents and young adults, are warranted. The potential impact on complications, is yet to be realized.

Direct medical costs of complications resulting from type 2 diabetes in the U.S

OBJECTIVE

To estimate direct medical costs of managing the complications of type 2 diabetes.

RESEARCH DESIGN AND METHODS

Costs were estimated for 15 diabetic complications by applying unit costs to typical resource-use profiles. Resource used and unit costs were estimated from many sources, including acute care discharge databases, clinical guidelines, government reports, fee schedules, and peer-reviewed literature. For each complication, the event costs are those associated with resource use that is specific to the acute episode and any subsequent care occurring in the 1st year. State costs are the annual costs of continued management. All costs are expressed in 1996 U.S. dollars.

RESULTS

As expected, the more severe or debilitating events, such as acute myocardial infarction ($27,630 event cost; $2,185 state cost), generate a greater financial burden than do early-stage complications, such as microalbuminuria ($62 event cost; $14 state cost). Yet, complications that are initially relatively low in cost (e.g., microalbuminuria) can progress to more costly advanced stages (e.g., end-stage renal disease, $53,659 state cost); therefore, minor complications should also be considered in any economic analysis of diabetes.

CONCLUSIONS

The recent literature has lacked cost estimates that may be readily translated into patient-level cost inputs for an economic model. Emerging therapies that may reduce the incidence of some diabetic complications will need to be scrutinized economically in today's cost-conscious environment. The cost estimates from this study provide one piece of the economic analysis needed to evaluate these new interventional therapies.

Cost of hypoglycemia in patients with Type 2 diabetes in Sweden

OBJECTIVES

Hypoglycemia is a common side effect of antidiabetic therapy. In addition to reducing well-being, hypoglycemic events may lead to substantial costs of medical care and lost productivity. The cost of hypoglycemia is, however, not well identified, particularly in patients with Type 2 diabetes. The purpose of this study was to assess the cost of hypoglycemia in Type 2 diabetes in Sweden.

METHODS

A cost-of-illness approach, based on an incidence methodology, was used to estimate the cost of hypoglycemia in patients with Type 2 diabetes. A hypoglycemic event was defined as an episode with symptoms of low blood glucose levels during which the patient required assistance from another person. The events were divided into mild, moderate, and severe, and the incidence and costs of the different events were estimated based on data in the literature.

RESULTS

Assuming that there are 300,000 patients with Type 2 diabetes in Sweden, it was estimated that 26,942 hypoglycemic events would occur annually in these patients, corresponding to a rate of 0.09 events per patient-year. The total cost of hypoglycemia was, in base case, estimated at about Euro 4,250,000 (Euro 14 per patient with Type 2 diabetes) per year. Moderate hypoglycemia contributed the largest proportion of these costs.

CONCLUSIONS

The results indicate that hypoglycemic events lead to substantial costs, but data are scarce and more studies are needed to better understand the cost and consequences of hypoglycemia.

Direct medical costs of complications of diabetes in the United States: estimates for event-year and annual state costs (USD 2012)

OBJECTIVE

To estimate the direct medical costs associated with managing complications, hypoglycemia episodes, and infections associated with type 2 diabetes expressed in 2012 United States dollars (USD).

METHODS

Direct data analysis and microcosting were used to estimate the costs for an event leading to either a hospital admission or outpatient care, and the post-acute care associated with managing macrovascular and microvascular complications, hypoglycemia episodes, and infections. Data were obtained from many sources, including inpatient and emergency department databases, national physician and laboratory fee schedules, government reports, and literature. Event-year costs reflect the resource use during an acute care episode (initial management in an inpatient or outpatient setting) and any subsequent care provided in the first year. State costs reflect annual resource use required beyond the first year for the ongoing management of complications and other conditions. Costs were assessed from the perspective of a comprehensive US healthcare payer and expressed in 2012 USD.

RESULTS

Event-year costs (and state costs) for macrovascular complications were as follows: myocardial infarction $56,445 ($1904); ischemic stroke $42,119 ($15,541); congestive heart failure $23,758 ($1904); ischemic heart disease $21,406 ($1904); and transient ischemic attack $7388 ($179). For two microvascular complications the event-year and state costs were assumed the same: $71,714 for end stage renal disease, and $2862 blindness. The event-year cost was $9041 for lower extremity amputations, and $2147 for diabetic foot ulcers. Costs were also determined for managing hypoglycemic episodes: $176-$16,478 (depending on treatment required), and infections: vulvovaginal candidiasis $111, lower urinary tract infection $105.

CONCLUSIONS

This study, which provides up-to-date cost estimates per patient, found that managing macrovascular and microvascular complications results in substantial costs to the healthcare system. This study facilitates conduct of other research studies such as modeling the management of diabetes and estimating the economic burden associated with complications.

The burden of hypoglycemia on healthcare utilization, costs, and quality of life among type 2 diabetes mellitus patients

OBJECTIVE

To assess the burden of hypoglycemia among type 2 diabetes patients on antidiabetic drugs with or without use of insulin.

RESEARCH DESIGN AND METHODS

We used mail surveys, administrative claims data, and enrollment information from a sample of adult commercial health plan enrollees (n=813) with type 2 diabetes during a 12-month period. Patients' experience of hypoglycemia, its impact on patient perspectives and healthcare utilization were the outcomes evaluated.

RESULTS

A greater percentage of patients in the antidiabetic with insulin cohort reported experiencing hypoglycemia compared with patients from sulfonylurea (SU) without insulin and non-SU without insulin cohorts (50% vs. 21% and 12%, respectively; p<0.01 for both comparisons). While 71% of the sample reported experiencing hypoglycemic symptoms with 28% confirmed by low blood glucose levels, only 10% of the patients had evidence of hypoglycemia event in the claims database. Patients with confirmed hypoglycemia had the highest Hypoglycemia Fear Survey behavior score (8) and worry subscale score (14). Significant differences were noted between the confirmed hypoglycemia and no hypoglycemia cohorts for the 12-item Short Form Health Survey's Mental Component Score (p<0.001) and Physical Component Score (p=0.002), and for the EQ-5D index (p<0.001). Diabetes-related annualized mean total healthcare costs were significantly higher for confirmed hypoglycemia vs. no hypoglycemia cohorts (p=0.004).

CONCLUSIONS

Symptomatic hypoglycemia is a more significant burden among type 2 diabetes patients treated with antidiabetic drugs than is estimated by administrative claims data and needs to be considered when choosing therapy.

Economic impact of severe and non-severe hypoglycemia in patients with Type 1 and Type 2 diabetes in the United States

OBJECTIVE

To identify the direct and indirect costs of hypoglycemia in patients with Type 1 or Type 2 diabetes mellitus (DM) in the US setting.

METHODS

A literature review was conducted to identify and review studies that reported data on the economic burden of hypoglycemia and the related medical resource consumption or productivity loss related to hypoglycemia in patients with Type 1 or Type 2 DM. Relevant information was collated in an economic model to assess the direct and indirect costs following severe and non-severe hypoglycemic events in Type 1 and Type 2 DM.

RESULTS

Detailed evidence of the medical cost burden of hypoglycemic events was identified from 14 studies. For both Type 1 and Type 2 DM, episodes requiring assistance from a healthcare practitioner were identified as particularly costly and amounted to $1161 per episode (direct costs) compared with episode costs of $66 and $11 for events requiring third-party (non-medical) assistance and events managed by self-treatment, respectively. Indirect costs associated with severe hypoglycemia requiring non-medical assistance, severe hypoglycemia requiring medical assistance, and non-severe hypoglycemia were predicted to be $242, $160, and $11 for patients with Type 1 diabetes and $579, $176, and $11 for patients with Type 2 diabetes, respectively.

CONCLUSION

Both severe and non-severe hypoglycemia incur substantial healthcare costs. Failure to account for these costs may under-estimate the value of management strategies that minimize hypoglycemia risk.

Patient characteristics, drug adherence patterns, and hypoglycemia costs for patients with type 2 diabetes mellitus newly initiated on exenatide or insulin glargine

OBJECTIVE

Examine real-world effectiveness and hypoglycemia cost burden in patients with type 2 diabetes newly initiated on exenatide or insulin glargine.

DESIGN AND METHODS

Retrospective cohort study describing patient characteristics, drug adherence patterns, and 1-year hypoglycemia rates with associated costs using an administrative claims database. Adult subjects with type 2 diabetes had an initial claim for exenatide or insulin glargine between May 1, 2005 and June 30, 2007, and had continuous eligibility for >or= 6 months pre- and >or= 12 months post-initiation.

RESULTS

The exenatide cohort (n = 3262) was 53 +/- 10 years (+/-SD); 54% female. The insulin glargine cohort (n = 3038) was 56 +/- 12 years; 41% female. The mean Deyo-Charlson comorbidity index score was 1.45 for exenatide versus 1.82 for insulin glargine (p < 0.001). Baseline OAD use rates for exenatide and insulin glargine, respectively, were 77% versus 69% metformin; 47% versus 65% sulfonylurea; 50% versus 49% thiazolidinedione; 56% versus 60% multiple OAD. For patients with two or more pharmacy claims for exenatide or insulin glargine, the 12-month medication possession ratio (MPR) was 68 +/- 29% for exenatide and 58 +/- 28% for insulin glargine (p < 0.001). MPR >or= 80% was higher for exenatide (p < 0.001) and fewer patients discontinued therapy (p < 0.001). The probability of a hypoglycemic event was significantly lower for exenatide (p < 0.005), resulting in lower associated annual costs.

CONCLUSIONS

This study provides the first real-world observational comparison of type 2 diabetes patients newly initiated on exenatide or insulin glargine. Exenatide patients had a lower comorbidity burden, better drug adherence, and a lower rate of hypoglycemic events with associated costs. Retrospective database analyses examine medical care utilization in large populations using a relatively inexpensive and expedient approach. However, data are only representative of a commercial health-care plan with limited information on multiple variables usually collected during clinical trials.

Real-world evidence concerning clinical and economic outcomes of switching to insulin glargine 300 units/mL vs other basal insulins in patients with type 2 diabetes using basal insulin

This retrospective cohort study compared real-world clinical and healthcare-resource utilization (HCRU) data in patients with type 2 diabetes using basal insulin (BI) who switched to insulin glargine 300 units/mL (Gla-300) or another BI. Data from the Predictive Health Intelligence Environment database 12 months before (baseline) and 6 months after (follow-up) the switch date (index date, March 1, 2015 to May 31, 2016) included glycated haemoglobin A1c (HbA1c), hypoglycaemia, HCRU and associated costs. Baseline characteristics were balanced using propensity score matching. Change in HbA1c from baseline was similar in both matched cohorts (n = 1819 in each). Hypoglycaemia incidence and adjusted event rate were significantly lower with Gla-300. Patients switching to Gla-300 had a significantly lower incidence of HCRU related to hypoglycaemia. All-cause and diabetes-related hospitalization and emergency-department HCRU were also favourable for Gla-300. Lower HCRU translated to lower costs in patients using Gla-300. In this real-world study, switching to Gla-300 reduced the risk of hypoglycaemia in patients with type 2 diabetes when compared with those switching to another BI, resulting in less HCRU and potential savings of associated costs.

Severe hypoglycaemia in adults with insulin-treated diabetes: impact on healthcare resources

AIMS

To assess resource utilization associated with severe hypoglycaemia across three insulin regimens in a large phase 3a clinical programme involving people with Type 1 diabetes treated with basal-bolus insulin, people with Type 2 diabetes treated with multiple daily injections and people with Type 2 diabetes treated with basal-oral therapy.

METHODS

Data relating to severe hypoglycaemia events (defined as episodes requiring external assistance) from the insulin degludec and insulin degludec/insulin aspart programme (15 trials) were analysed using descriptive statistics. Comparators included insulin glargine, biphasic insulin aspart, insulin detemir and sitagliptin. Mealtime insulin aspart was used in some regimens. This analysis used the serious adverse events records, which documented the use of ambulance/emergency teams, a hospital/emergency room visit ≤ 24 h, or a hospital visit > 24 h.

RESULTS

In total, 536 severe hypoglycaemia events were analysed, of which 157 (29.3%) involved an ambulance/emergency team, 64 (11.9%) led to hospital/emergency room attendance of ≤ 24 h and 36 (6.7%) required hospital admission (> 24 h). Although there were fewer events in people with Type 2 diabetes compared with Type 1 diabetes, once a severe episode occurred, the tendency to utilize healthcare resources was higher in Type 2 diabetes vs. Type 1 diabetes. A higher proportion (47.6%) in the basal-oral therapy group required hospital treatment for > 24 h versus the Type 1 diabetes (5.0%) and Type 2 diabetes multiple daily injections (5.3%) groups.

CONCLUSION

This analysis suggests that severe hypoglycaemia events often result in emergency/ambulance calls and hospital treatment, incurring a substantial health economic burden, and were associated with all insulin regimens.

Incidence and costs of severe hypoglycaemia requiring attendance by the emergency medical services in South Central England

AIMS

The aim was to estimate the incidence of severe hypoglycaemia requiring emergency ambulance assistance, its management and associated costs.

METHODS

A retrospective observational study used routinely collected data for a 1-year period from December 2009 to November 2010 from the South Central Ambulance Service National Health Service Trust, UK. The main outcome was episodes reported by ambulance personnel and costs were estimated from published data.

RESULTS

During the 1-year study period, 398,409 emergency calls were received, of which 4081 (1.02%) were coded as hypoglycaemia. The overall numbers (and annual rate) of hypoglycaemia recorded among people ≥ 15 years with presumed diabetes was 3962 (2.1%), but for those aged 15-35 years was 516 (7.5%) and for those aged ≥ 65 years was 1886 (1.9%). Of those attended, 1441 (35.3%) were taken to hospital. The estimated total cost of initial ambulance attendance and treatment at scene was £553,000; if transport to hospital was necessary, the additional ambulance costs were £223,000 plus emergency department costs of £140,000; and the cost of primary care follow-up was estimated as £61,000. The average cost per emergency call was £263. The estimated annual cost of emergency calls for severe hypoglycaemia is £13.6m for England.

CONCLUSIONS

Our estimates suggest prevalence of severe hypoglycaemia attended by the emergency services is high in younger age groups and lower for older age groups, although the absolute numbers of severe events in older age groups contribute substantially to the overall costs of providing emergency assistance for hypoglycaemia.

The benefits, limitations, and cost-effectiveness of advanced technologies in the management of patients with diabetes mellitus

Hypoglycemia mitigation is critical for appropriately managing patients with diabetes. Advanced technologies are becoming more prevalent in diabetes management, but their benefits have been primarily judged on the basis of hemoglobin A1c. A critical appraisal of the effectiveness and limitations of advanced technologies in reducing both A1c and hypoglycemia rates has not been previously performed. The cost of hypoglycemia was estimated using literature rates of hypoglycemia events resulting in hospitalizations. A literature search was conducted on the effect on A1c and hypoglycemia of advanced technologies. The cost-effectiveness of continuous subcutaneous insulin infusion (CSII) and real-time continuous glucose monitors (RT-CGM) was reviewed. Severe hypoglycemia in insulin-using patients with diabetes costs $4.9-$12.7 billion. CSII reduces A1c in some but not all studies. CSII improves hypoglycemia in patients with high baseline rates. Bolus calculators improve A1c and improve the fear of hypoglycemia but not hypoglycemia rates. RT-CGM alone and when combined with CSII improve A1c with a neutral effect on hypoglycemia rates. Low-glucose threshold suspend systems reduce hypoglycemia with a neutral effect on A1c, and low-glucose predictive suspend systems reduce hypoglycemia with a small increase in plasma glucose levels. In short-term studies, artificial pancreas systems reduce both hypoglycemia rates and plasma glucose levels. CSII and RT-CGM are cost-effective technologies, but their wide adoption is limited by cost, psychosocial, and educational factors. Most currently available technologies improve A1c with a neutral or improved rate of hypoglycemia. Advanced technologies appear to be cost-effective in diabetes management, especially when including the underlying cost of hypoglycemia.

Effects of patient-reported non-severe hypoglycemia on healthcare resource use, work-time loss, and wellbeing in insulin-treated patients with diabetes in seven European countries

PURPOSE

Hypoglycemia is a frequent side effect induced by insulin treatment of type 1 (T1DM) and type 2 diabetes (T2DM). Limited data exist on the associated healthcare resource use and patient impact of hypoglycemia, particularly at a country-specific level. This study investigated the effects of self-reported non-severe hypoglycemic events (NSHE) on use of healthcare resources and patient wellbeing.

METHODS

Patients with T1DM or insulin-treated T2DM diabetes from seven European countries were invited to complete four weekly questionnaires. Data were collected on patient demographics, NSHE occurrence in the last 7 days, hypoglycemia-related resource use, and patient impact. NSHE were defined as events with hypoglycemia symptoms, with or without blood glucose measurement, or low blood glucose measurement without symptoms, which the patient could manage without third-party assistance.

RESULTS

Three thousand, nine hundred and fifty-nine respondents completed at least one wave of the survey, with 57% completing all four questionnaires; 3827 respondents were used for data analyses. Overall, 2.3% and 8.9% of NSHE in patients with T1DM and T2DM, respectively, resulted in healthcare professional contact. Across countries, there was a mean increase in blood glucose test use of 3.0 tests in the week following a NSHE. Among respondents who were employed (48%), loss of work-time after the last hypoglycemic event was reported for 9.7% of NSHE. Overall, 10.2% (daytime) and 8.0% (nocturnal) NSHE led to work-time loss, with a mean loss of 84.3 (daytime) and 169.6 (nocturnal) minutes among patients reporting work-time loss. Additionally, patients reported feeling tired, irritable, and having negative feelings following hypoglycemia.

LIMITATIONS

Direct comparisons between studies must be interpreted with caution because of different definitions of hypoglycemia severity, duration of the studies, and methods of data collection.

CONCLUSIONS

NSHE were associated with use of extra healthcare resources and work-time loss in all countries studied, suggesting that NSHE have considerable impact on patients/society.

Incidence and care-related costs of severe hypoglycaemia requiring emergency treatment in Andalusia (Spain): the PAUEPAD project

AIMS

Hypoglycaemia is a serious medical emergency. The need for emergency medical service care and the costs of hypoglycaemic emergencies are not completely known.

METHODS

This was a retrospective observational study using Public Company for Health Emergencies (EPES) data for hypoglycaemia in 2012. The EPES provides emergency medical services to the entire population of Andalusia, Spain (8.5 million people). Data on event type, onsite treatments, emergency room visits or hospitalization were collected. Medical costs were estimated using the public rates for healthcare services.

RESULTS

From a total of 1 137 738 emergency calls that requested medical assistance, 8683 had a primary diagnosis of hypoglycaemia (10.34 per 10 000 person-years). The incidence of severe hypoglycaemic episodes requiring emergency treatment in the estimated population with diabetes was 80 episodes per 10 000 person-years. A total of 7479 episodes (86%) required an emergency team to visit the patient's residence. The majority of cases (64%) were addressed in the residence, although 1784 (21%) cases were transferred to hospital. A total of 5564 events (65%) involved patients aged > 65 years. Overall mortality was 0.32% (28 cases). The total annual cost of attending a hypoglycaemic episode was €6 093 507, leading to an estimated mean direct cost per episode of €702 ± 565. Episodes that required hospital treatment accounted for 49% of the total costs.

CONCLUSIONS

Hypoglycaemia is a common medical emergency that is associated with high emergency medical service utilization, resulting in a significant economic impact on the health system.

Differences in hypoglycemia event rates and associated cost-consequence in patients initiated on long-acting and intermediate-acting insulin products

OBJECTIVE

To compare hypoglycemia event rates in patients initiated on long-acting insulin analog (glargine) or intermediate-acting insulin (NPH) and to analyze the associated cost-consequence from a managed care perspective.

STUDY DESIGN

A retrospective analysis of pharmacy and medical claims and electronic laboratory result data using a southeastern United States managed care health plan.

METHODS

Patients newly initiated on glargine or NPH between July 1, 2000 and August 31, 2002 were included. Hypoglycemia events were identified from medical claims by their ICD-9CM codes. Multivariable techniques were used to compare hypoglycemia event rates between cohorts.

RESULTS

A total of 1434 patients were eligible (glargine = 310, NPH = 1124). The mean age was 53 years +/- 17 years and 51% of patients were male. The mean treatment duration was 8.6 months +/- 4.5 months. Multivariate analyses showed that patients in the NPH group had a higher hypoglycemia event rate than the glargine group (18.3 versus 7.3 per 100 patients per year; p = 0.009). The number needed to treat (glargine versus NPH) to avoid one hypoglycemia event per patient per year was nine patients at an A1C of 7%. The mean annual index medication cost was $47 more for glargine ($390) than for NPH ($343) per patient per year (p = 0.042). The mean cost per hypoglycemia event was $1087 (95% CI: $764-$1409).

CONCLUSIONS

Patients treated with glargine had significantly lower hypoglycemia event rates compared to the NPH group. The risk difference indicated that one hypoglycemia event would be avoided for every nine patients treated with glargine instead of NPH. The cost increase associated with treating nine patients with glargine rather than NPH is less than the cost of treating one hypoglycemia event. In this population, the savings associated with reduced hypoglycemic events more than offset the increased acquisition cost associated with glargine.

Association between antihypertensive drug use and hypoglycemia: a case-control study of diabetic users of insulin or sulfonylureas

Antihypertensive drugs are commonly prescribed for the treatment of patients with both diabetes and hypertension. However, the role of selected agents in the development of hypoglycemia remains controversial. The main objective of this study was to evaluate the effect of antihypertensive agents on the risk of hypoglycemia in diabetic patients receiving insulin or sulfonylurea therapy. A matched case-control study was conducted using Pennsylvania Medicaid data. Five control subjects, matched for sex and age, with no reported medical condition of hypoglycemia, were randomly selected for each case patient admitted for hypoglycemia in 1993, resulting in a total of 404 cases and 1375 controls. With these sample sizes, we were able to detect a difference of 10% (P < 0.05) for our primary outcome measure, hospitalization for hypoglycemia. The relative risk of hypoglycemia was estimated using an unconditional logistic regression. The risk of hypoglycemia was 5.5 times greater (95% confidence interval [CI], 4.0 to 7.6) in insulin versus sulfonylurea users and was not influenced by use of angiotensin-converting enzyme (ACE) inhibitors overall. However, use of the ACE inhibitor enalapril was associated with an increased risk of hypoglycemia (odds ratio, 2.4; 95% CI, 1.1 to 5.3) in sulfonylurea users, suggesting that analyzing the unintended side effects of a class of drugs can sometimes mask the adverse effects of individual drugs. Use of beta-blockers was not associated with an increased risk of hypoglycemia, providing further empiric evidence that beta-blockers are an appropriate treatment for persons with concomitant diabetes and hypertension. Per capita health care costs were approximately 3 times higher in patients hospitalized for hypoglycemia compared with controls (P < 0.05). Hospitalization for hypoglycemia is expensive and may be prevented with appropriate monitoring of diabetic patients taking selected antihypertensive agents such as enalapril.

Low socioeconomic status is associated with increased risk for hypoglycemia in diabetes patients: the Diabetes Study of Northern California (DISTANCE)

BACKGROUND

Social risk factors for hypoglycemia are not well understood.

METHODS

Cross-sectional analysis from the DISTANCE study, a multi-language, ethnically-stratified random sample of adults in the Kaiser Permanente Northern California diabetes registry, conducted in 2005-2006 (response rate 62%). Exposures were income and educational attainment; outcome was patient report of severe hypoglycemia. To test the association, we used multivariable logistic regression to adjust for demographic and clinical factors.

RESULTS

14,357 patients were included. Reports of severe hypoglycemia were common (11%), and higher in low-income vs. high-income (16% vs. 8.8) and low-education vs. high-education (11.9% vs. 8.9%) groups. In multivariable analysis, incomes of less than $15,000 (OR 1.51 95%CI 1.19-1.91), $15,000-$24,999 (OR 1.57 95%CI 1.27-1.94), and high school or less education (OR 1.42, 95% CI 1.24-1.63) were associated with increased hypoglycemia, similar to insulin use (OR 1.44 95%CI 1.19-1.74).

CONCLUSIONS

Low income and educational attainment are important risk factors for hypoglycemia.

Understanding the economic burden of nonsevere nocturnal hypoglycemic events: impact on work productivity, disease management, and resource utilization

OBJECTIVE

Nonsevere hypoglycemic events are common and may occur in one-third of persons with diabetes as often as several times a week. This study's objective was to examine the economic burden of nonsevere nocturnal hypoglycemic events (NSNHEs).

METHODS

A 20-minute Web-based survey, with items derived from the literature, expert input, and patient interviews, assessing the impact of NSNHEs was administered in nine countries to 18 years and older patients with self-reported diabetes having an NSNHE in the past month.

RESULTS

A total of 20,212 persons were screened, with 2,108 respondents meeting criteria and included in the analysis sample. The cost of lost work productivity per NSNHE was estimated to be between $10.21 (Germany) and $28.13 (the United Kingdom), representing 3.3 to 7.5 hours of lost work time per event. A reduction in work productivity (presenteeism) was also reported. Compared with respondents' usual blood sugar monitoring practice, on average, 3.6 ± 6.6 extra tests were conducted in the week following the event at a cost of approximately $87.1 per year. Additional costs were also incurred for doctor visits as well as medical care required because of falls or injuries incurred during the NSNHE for an annual cost of $2,111.3 per person per year. When taking into consideration the multiple impacts of NSNHEs for the total sample and the frequency that these events occur, the resulting total annual economic burden was $288,000 or $127 per person per event.

CONCLUSIONS

NSNHEs have serious consequences for patients. Greater attention to treatments that reduce NSNHEs can have a major impact on reducing the economic burden of diabetes.

Hypoglycemia after antimicrobial drug prescription for older patients using sulfonylureas

IMPORTANCE

Certain antimicrobial drugs interact with sulfonylureas to increase the risk of hypoglycemia.

OBJECTIVE

To determine the risk of hypoglycemia and associated costs in older patients prescribed glipizide or glyburide who fill a prescription for an antimicrobial drug.

DESIGN, SETTING, AND PARTICIPANTS

This was a retrospective cohort study of Texas Medicare claims from 2006 to 2009 for patients 66 years or older who were prescribed glipizide or glyburide and who also filled a prescription for 1 of the 16 antimicrobials most commonly prescribed for this population.

METHODS

We assessed hypoglycemia events and associated Medicare costs in patients prescribed 1 of 7 antimicrobial agents thought to interact with sulfonylureas, using noninteracting antimicrobials as a comparison. We used a repeated measure logistic regression, controlling for age, sex, ethnicity, Medicaid eligibility, comorbidity, prior emergency department visits for hypoglycemia, prior hospitalizations for any cause, nursing home residence, and indication for the antimicrobial. We estimated odds of hypoglycemia, number needed to harm, deaths during hospitalization for hypoglycemia, and Medicare costs for hypoglycemia treatment.

MAIN OUTCOMES AND MEASURES

Any hospitalization or emergency department visit owing to hypoglycemia within 14 days of antimicrobial exposure.

RESULTS

In multivariable analyses controlling for patient characteristics and indication for antimicrobial drug use, clarithromycin (odds ratio [OR], 3.96 [95% CI, 2.42-6.49]), levofloxacin (OR, 2.60 [95% CI, 2.18-3.10]), sulfamethoxazole-trimethoprim (OR, 2.56 [95% CI, 2.12-3.10]), metronidazole (OR, 2.11 [95% CI, 1.28-3.47]), and ciprofloxacin (OR, 1.62 [95% CI, 1.33-1.97]) were associated with higher rates of hypoglycemia compared with a panel of noninteracting antimicrobials. The number needed to harm ranged from 71 for clarithromycin to 334 for ciprofloxacin. Patient factors associated with hypoglycemia included older age, female sex, black or Hispanic race/ethnicity, higher comorbidity, and prior hypoglycemic episode. In 2009, 28.3% of patients prescribed a sulfonylurea filled a prescription for 1 of these 5 antimicrobials, which were associated with 13.2% of all hypoglycemia events in patients taking sulfonylureas. The treatment of subsequent hypoglycemia adds $30.54 in additional Medicare costs to each prescription of 1 of those 5 antimicrobials given to patients taking sulfonylureas.

CONCLUSIONS AND RELEVANCE

Prescription of interacting antimicrobial drugs to patients on sulfonylureas is very common, and is associated with substantial morbidity and increased costs.

The psychosocial and financial impact of non-severe hypoglycemic events on people with diabetes: two international surveys

OBJECTIVES

To understand the impact of nocturnal and daytime non-severe hypoglycemic events on healthcare systems, work productivity and quality of life in people with type 1 or type 2 diabetes.

METHODS

People with diabetes who experienced a non-severe hypoglycemic event in the 4 weeks prior to the survey were eligible to participate in a nocturnal and/or daytime hypoglycemia survey. Surveys were conducted in Argentina, Australia, Brazil, Israel, Mexico and South Africa.

RESULTS

In total, 300 respondents were included in nocturnal/daytime hypoglycemia surveys (50/participating country/survey). All respondents with type 1 diabetes and 68%/62% (nocturnal/daytime) with type 2 diabetes were on insulin treatment. After an event, 25%/30% (nocturnal/daytime) of respondents decreased their insulin dose and 39%/36% (nocturnal/daytime) contacted a healthcare professional. In the week after an event, respondents performed an average of 5.6/6.4 (nocturnal/daytime) additional blood glucose tests. Almost half of the respondents (44%) reported that the event had a high impact on the quality of their sleep. Among nocturnal survey respondents working for pay, 29% went to work late, 16% left work early and 12% reported missing one or more full work days due to the surveyed event. In addition, 50%/39% (nocturnal/daytime) indicated that the event had a high impact on their fear of future hypoglycemia.

CONCLUSIONS

The findings suggest that nocturnal and daytime non-severe hypoglycemic events have a large financial and psychosocial impact. Diabetes management that minimizes hypoglycemia while maintaining good glycemic control may positively impact upon the psychological wellbeing of people with diabetes, as well as reducing healthcare costs and increasing work productivity.

Severe hypoglycaemia requiring emergency medical assistance by ambulance services in the East Midlands: a retrospective study

AIMS

To report the characteristics and treatment of individuals requiring emergency ambulance services for severe hypoglycaemia and estimate associated provider costs.

METHODS

Retrospective analysis of routinely collected data collected by the East Midlands Ambulance Trust, UK, of episodes of severe hypoglycaemia attended by emergency ambulance services during a four-month period. Standard clinical measures, response time, on-site treatment and transportation were recorded and ambulance services costs calculated.

RESULTS

90,435 emergency calls were recorded, 523 (0.6%) for severe hypoglycaemia, equating to an incidence of to 2.76 per 100 patient years; 74% of individuals were insulin-treated, 28% of events occurred nocturnally (00:00-07:59), and 32% were transported to hospital. Higher respiratory rate was a positive predictor (p=0.03), whereas higher post treatment blood glucose (p=0.05) and insulin treatment (p<0.01) were negative predictors of transport to hospital. Median treatment costs for individuals transported and not transported to hospital were £92 and £176 respectively.

CONCLUSIONS

Most cases of severe hypoglycaemia requiring assistance from emergency ambulance services are successfully treated at the scene. Individuals not responding to treatment or were non insulin-treated were more likely to be transported to hospital. Further studies are needed to evaluate the effect of prehospital ambulance care by treatment and diabetes type on subsequent outcomes.