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Background/rationale: Long-term treatment with anticholinergic agents may increase the risk of cognitive impairment or dementia. This systematic literature review and meta-analysis aimed to assess the impact of ≥3 months of exposure to anticholinergics as a class on the risk of dementia, mild cognitive impairment, and change in cognitive function. The impact of anticholinergic agents specifically used to treat overactive bladder was also evaluated., Materials and Methods: A systematic literature review was conducted to identify English language articles evaluating the impact of anticholinergic use for ≥3 months on dementia or cognitive function in adult patients. Databases searched included PubMed, Embase, and the Cochrane Library. Meta-analyses were conducted using random-effects models; 95% confidence intervals (CIs) and 95% prediction intervals (PIs) were reported., Results: A total of 2122 records were identified. Out of those, 21 studies underwent qualitative synthesis and 6 reported endpoints relevant for inclusion in a meta-analysis assessing the risk of incident dementia. The overall rate ratio for incident dementia was 1.46 (95% CI: 1.17-1.81; 95% PI: 0.70-3.04; n = 6). The risk of incident dementia increased with increasing exposure (n = 3). In addition, two studies from the meta-analysis reported an increased risk of dementia with ≥3 months of use of bladder antimuscarinics (adjusted odds ratios ranged from 1.21 to 1.65, depending on exposure category)., Conclusion: Anticholinergic use for ≥3 months increased the risk of dementia on average by an estimated 46% versus nonuse. This relationship was consistent in studies assessing overactive bladder medications. The risk of developing dementia should be carefully considered in the context of potential benefit before prescribing anticholinergics., (© 2020 The Authors. Neurourology and Urodynamics published by Wiley Periodicals LLC.)

Objective: Hypoglycemia (HG) occurs in up to 60% of patients with diabetes mellitus (DM) each year. We assessed a HG alert tool in an electronic health record system, and determined its effect on clinical practice and outcomes. Methods: The tool applied a statistical model, yielding patient-specific information about HG risk. We randomized outpatient primary-care providers (PCPs) to see or not see the alerts. Patients were assigned to study group according to the first PCP seen during four months. We assessed prescriptions, testing, and HG. Variables were compared by multinomial, logistic, or linear model. ClinicalTrials.gov ID: NCT04177147 (registered on 22 November 2019). Results: Patients ( N = 3350) visited 123 intervention PCPs; 3395 patients visited 220 control PCPs. Intervention PCPs were shown 18,645 alerts (mean of 152 per PCP). Patients' mean age was 55 years, with 61% female, 49% black, and 49% Medicaid recipients. Mean baseline A1c and body mass index were similar between groups. During follow-up, the number of A1c and glucose tests, and number of new, refilled, changed, or discontinued insulin prescriptions, were highest for patients with highest risk. Per 100 patients on average, the intervention group had fewer sulfonylurea refills (6 vs. 8; p < .05) and outpatient encounters (470 vs. 502; p < .05), though the change in encounters was not significant. Frequency of HG events was unchanged. Conclusions: Informing PCPs about risk of HG led to fewer sulfonylurea refills and visits. Longer-term studies are needed to assess potential for long-term benefits.

Aims: To assess demographic and clinical characteristics associated with clinical inertia in a real-world cohort of type 2 diabetes mellitus patients not at hemoglobin A1c goal (<7%) on metformin monotherapy. Methods: Adult (≥18 years) type 2 diabetes mellitus patients who received care at Massachusetts General Hospital/Brigham and Women's Hospital and received a new metformin prescription between 1992 and 2010 were included in the analysis. Clinical inertia was defined as two consecutive hemoglobin A1c measures ≥7% ≥3 months apart while remaining on metformin monotherapy (i.e. without add-on therapy). The association between clinical inertia and demographic and clinical characteristics was examined via logistic regression. Results: Of 2848 eligible patients, 43% did not achieve a hemoglobin A1c goal of <7% 3 months after metformin monotherapy initiation. A sub-group of 1533 patients was included in the clinical inertia analysis, of which 36% experienced clinical inertia. Asian race was associated with an increased likelihood of clinical inertia (OR = 2.43; 95% CI = 1.48-3.96), while congestive heart failure had a decreased likelihood (OR = 0.58; 95% CI = 0.32-0.98). Chronic kidney disease and cardiovascular/cerebrovascular disease had weaker associations but were directionally similar to congestive heart failure. Conclusions: Asian patients were at an increased risk of clinical inertia, whereas patients with comorbidities appeared to have their treatment more appropriately intensified. A better understanding of these factors may inform efforts to decrease the likelihood for clinical inertia.

Objective: Hypoglycemia occurs in 20-60% of patients with diabetes mellitus. Identifying at-risk patients can facilitate interventions to lower risk. We sought to develop a hypoglycemia prediction model. Methods: In this retrospective cohort study, urban adults prescribed a diabetes drug between 2004 and 2013 were identified. Demographic and clinical data were extracted from an electronic medical record (EMR). Laboratory tests, diagnostic codes and natural language processing (NLP) identified hypoglycemia. We compared multiple logistic regression, classification and regression trees (CART), and random forest. Models were evaluated on an independent test set or through cross-validation. Results: The 38,780 patients had mean age 57 years; 56% were female, 40% African-American and 39% uninsured. Hypoglycemia occurred in 8128 (539 identified only by NLP). In logistic regression, factors positively associated with hypoglycemia included infection, non-long-acting insulin, dementia and recent hypoglycemia. Negatively associated factors included long-acting insulin plus sulfonylurea, and age 75 or older. The models' area under curve was similar (logistic regression, 89%; CART, 88%; random forest, 90%, with ten-fold cross-validation). Conclusions: NLP improved identification of hypoglycemia. Non-long-acting insulin was an important risk factor. Decreased risk with age may reflect treatment or diminished awareness of hypoglycemia. More complex models did not improve prediction.

Aims: TECOS, a cardiovascular safety trial (ClinicalTrials.gov identifier: NCT00790205) involving 14 671 patients with type 2 diabetes and cardiovascular disease, demonstrated that sitagliptin was non-inferior to placebo for the primary composite cardiovascular outcome when added to best usual care. This study tested hypotheses that medical resource use and costs differed between these 2 treatment strategies., Materials and Methods: Information concerning medical resource use was collected on case report forms throughout the trial and was valued using US costs for: Medicare payments for hospitalizations, medical procedures and outpatient visits, and wholesale acquisition costs (WAC) for diabetes-related medications. Hierarchical generalized linear models were used to compare resource use and US costs, accounting for variable intercountry practice patterns. Sensitivity analyses included resource valuation using English costs for a UK perspective., Results: There were no significant differences in hospitalizations, inpatient days, medical procedures, or outpatient visits during follow-up (mean and median 3.0 years in both groups). Hospitalization rates appeared to diverge after 2 years, with lower rates among sitagliptin-treated vs placebo patients after 2.5 years (relative rate, 0.90 [95% CI, 0.83-0.97]; P = .01). Mean medical costs, exclusive of study medication, were 11 937 USD in the sitagliptin arm and 12 409 USD in the placebo arm (P = .06). Mean sitagliptin costs based on undiscounted WAC were 9978 USD per patient. Differential UK total costs including study drug costs were smaller (911 GBP), primarily because of lower mean costs for sitagliptin (1072 GBP)., Conclusions: Lower hospitalization rates across time with sitagliptin slightly offset sitagliptin treatment costs over 3 years in type 2 diabetes patients at high risk for cardiovascular events., (© 2018 John Wiley & Sons Ltd.)

Aims: To analyse the prevalence of severe hypoglycaemia in patients with type 2 diabetes (T2DM) treated with antihyperglycaemic agents (AHA) and requiring emergency room (ER) assistance, and to analyse the prevalence according to type of AHA therapy., Methods: The present study, the Hypoglycaemia In Portugal Observational Study-Emergency Room (HIPOS-ER), was a cross-sectional, observational, multicentre, nationwide study, with specific hypoglycaemia source data collection., Results: Within the study period, a total of 425 706 admissions were recorded in the ERs of participating hospitals. The prevalence of severe hypoglycaemic episodes in patients with T2DM was 0.074%. In all, 238 patients were included, more than half of whom were on insulin-based therapy (55.0%) and a third of whom (31.5%) were on oral secretagogue-based therapy. In 61.2% of patients primary care was the main diabetes care setting. The median patient age was 77.5 years and the mean duration of diabetes was 19 years. Missing a meal or low carbohydrate meal content was the most frequent cause of hypoglycaemia (55.9%) and the most frequent triggers for seeking emergency assistance were pre-syncope (19.2%) and transient loss of consciousness (17.4%). A total of 44.1% of patients were hospitalized for a median of 5.1 days. Patients in the secretagogue group were admitted to hospital more often than patients in the insulin group (70.7% vs 29.0%; P < .001). Nine patients died., Conclusions: These findings confirm that severe hypoglycaemia in patients with T2DM requiring ER assistance occurs mainly in those on insulin- and secretagogue-based therapies and is associated with a significant medical burden. Antidiabetic therapy should be individualized to minimize the risk of severe iatrogenic hypoglycaemia, and any intervention to this end should always involve primary care stakeholders., (© 2017 John Wiley & Sons Ltd.)

Aims: Certain treatments for type 2 diabetes mellitus cause hypoglycaemia and weight gain, and thus might counteract the benefits of intensive glucose control. We quantify the association of cardiovascular disease (CVD) outcomes with hypoglycaemia and weight gain among patients with type 2 diabetes treated with sulfonylureas., Materials and Methods: This cohort study included patients from January 2009 through December 2014 who were selected from within a deidentified nationwide electronic health records repository, including multiple provider networks and electronic medical records systems. Hypoglycaemia measures from structured data fields and free text clinical notes were categorized as serious or non-serious. Covariate adjusted Poisson regression analysis was used to assess the association between frequency of hypoglycaemia (by severity), or magnitude of weight change, and incidence of acute myocardial infarction (AMI), congestive heart failure (CHF) and stroke., Results: Among 143 635 eligible patients, we observed 5669 cases of AMI, 14 109 incident cases of CHF and 7017 cases of stroke. Overall incidence rates were 1.53, 4.26 and 1.92 per 100 person-years for AMI, CHF and stroke, respectively. The associations between overall hypoglycaemia and each of the CVD outcomes were positive, with stronger associations observed for serious hypoglycaemia and attenuated or null associations observed for non-serious hypoglycaemia. Weight change exhibited a U-shaped association with increased risks associated with both weight loss and weight gain relative to stable weight., Conclusions: This study provides evidence of increased CVD risk associated with hypoglycaemia, especially with serious hypoglycaemia events. While associations were attenuated with non-serious hypoglycaemia, the results were suggestive of a potential increased risk., (© 2017 John Wiley & Sons Ltd.)

Background: Data are limited regarding adherence to dipeptidyl peptidase-4 inhibitors., Methods: The present retrospective cohort study of a claims database involved adults with type 2 diabetes mellitus, continuous enrollment for 12 months before the first prescription of add-on sitagliptin (SITA) or a sulfonylurea (SU) to metformin (MET) monotherapy (index date), and ≥45 days of MET coverage ≤90 days before the index date. The SITA and SU users were matched on duration of follow-up and propensity score (PS). Logistic regression analysis incorporated age, gender, comorbidities, and concomitant medications as independent variables., Results: Approximately 99 % of SITA patients were PS matched, resulting in 14 807 well-balanced PS-matched SITA/SU pairs. Mean proportion of days covered (PDC) was significantly higher for SITA (vs SU) + MET after 1 year (P < 0.001). Adherence (PDC ≥80 %) to SITA (vs SU) + MET was 59.1 % (vs 55.9 %; P < 0.001) at 1 year and 52.6 % (vs 49.9 %; P = 0.007) at 2 years. Using logistic regression models including out-of-pocket expense (OPE) as a covariate, we found improved mean PDC and adherence for SITA (vs SU) + MET. Numbers of patients who continued to use SITA (vs SU) + MET were significantly higher after Years 1, 2, and 3 (all P < 0.05)., Conclusions: Users of SITA + MET had significantly higher mean PDC, adherence, and persistence than those on SU + MET. These trends were robust to model alterations and were more marked when accommodating OPEs., (© 2016 Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, N.J., U.S.A. Journal of Diabetes published by John Wiley & Sons Australia, Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine.)

Aims: Hypoglycaemia in patients with diabetes can be induced by insulins and sulfonylureas. We assessed the real-world impact of specific monotherapy and combination regimens on hypoglycaemic events requiring hospitalisation and related secondary costs to the English healthcare system., Methods: This retrospective observational study used the Clinical Practice Research Datalink with linked hospital admission data during 2008-2012. Patients with type 2 diabetes mellitus (T2DM) using antihyperglycaemic agents (AHAs) were assigned to mutually exclusive subgroups (insulin- and non-insulin-containing regimens; treatment groups of interest; age group) based on treatment at index date (date of first AHA prescription). Outcomes were number and cost of hospital admissions with hypoglycaemic event-related diagnosis codes., Results: We identified 110 206 patients with T2DM (mean age 64.9 years, time since diagnosis 5.4 years, HbA 1c at index 7.4%), with 439 hypoglycaemic events requiring inpatient hospitalisation (mean length of stay 6.3 days, mean cost/stay £1351). Event rates and cost of stay were highest in patients treated with sulfonylurea- or insulin-based regimens. Event rates, duration and cost of stay were higher in older patients., Conclusion: Rates of severe hypoglycaemic events varied substantially between T2DM regimens. In this study of patients treated in clinical practice in England, sulfonylurea- and insulin-based regimens were associated with the highest event rates and costs associated with hospitalisation for severe hypoglycaemic events; hospitalisation for severe hypoglycaemic events was not observed with dipeptidyl peptidase-4 inhibitor monotherapy or with metformin., (© 2017 John Wiley & Sons Ltd.)

Aims: Accurate measures of hypoglycemia within electronic health records (EHR) can facilitate clinical population management and research. We quantify the occurrence of serious and mild-to-moderate hypoglycemia in a large EHR database in the US, comparing estimates based only on structured data to those from structured data and natural language processing (NLP) of clinical notes., Methods: This cohort study included patients with type 2 diabetes identified from January 2009 through March 2014. We compared estimates of occurrence of hypoglycemia derived from diagnostic codes to those recorded within clinical notes and classified via NLP. Measures of hypoglycemia from only structured data (ICD-9 Algorithm), only note mentions (NLP Algorithm), and either structured data or notes (Combined Algorithm) were compared with estimates of the period prevalence, incidence rate, and event rate of hypoglycemia, overall and by seriousness., Results: Of the 844,683 eligible patients, 119,695 had at least one recorded hypoglycemic event identified with ICD-9 or NLP. The period prevalence of hypoglycemia was 12.4%, 25.1%, and 32.2% for the ICD-9 Algorithm, NLP Algorithm, and Combined Algorithm, respectively. There were 6128 apparent non-serious events utilizing the ICD-9 Algorithm, which increased to 152,987 non-serious events within the Combined Algorithm., Conclusions: Ascertainment of events from clinical notes more than doubled the completeness of hypoglycemia capture overall relative to measures from structured data, and increased capture of non-serious events more than 20-fold. The structured data and clinical notes are complementary within the EHR, and both need to be considered in order to fully assess the occurrence of hypoglycemia., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Aim: To compare the change in urinary albumin to creatinine ratio (UACR) in type 2 diabetes (T2DM) patients with albuminuria who initiate sitagliptin to those who initiate a sulfonylurea (SU) as add-on to metformin monotherapy., Method: A cohort of T2DM patients with albuminuria (UACR >30mg/g) who initiated sitagliptin or SU as add-on dual therapy to metformin between 2008 and 2014 was extracted from the computerized medical records of a large managed care organization in Israel. Patients with albuminuria and UACR measurements available at treatment initiation and 120-365days afterwards were included. Propensity scores were calculated based on 17 factors, including demography, comorbidities, baseline levels of HbA1c, UACR, BMI, eGFR, and ACE/ARB use, and patients were matched in a 1:1 ratio. Changes in UACR were compared between the matched pairs using generalized estimating equations., Results: A total of 282 eligible pairs (sitagliptin:SU) were identified. During a mean follow-up of 9months, median UACR changes were -35% (IQR=-73% to 5%) and -31% (IQR=-72% to 21%) in the sitagliptin and SU groups, respectively. Mean absolute HbA1c reductions among sitagliptin and SU groups were 0.9% and 1.0%, respectively. The magnitude of UACR reduction generally increased with greater magnitude of HbA1c reduction in both treatment groups. However, after controlling for HbA1c reduction and the interaction between HbA1c reduction and UACR reduction, sitagliptin users demonstrated a trend toward an increased likelihood of UACR reduction compared to SU users (odds ratio=1.20; 95% confidence interval: 0.99-1.47, P=0.063)., Conclusion: Our results suggest that both sitagliptin and SU reduce albuminuria as an add-on therapy to metformin, but that sitagliptin may provide greater reductions in albuminuria independent of glycemic control when compared to SU. Larger population studies are required to further explore this., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Objective: To better manage type 2 diabetes mellitus (T2DM), the tradeoff between improved glycemic control and hypoglycemia should be evaluated. The purpose of this study was to assess the relationship between hypoglycemia and hemoglobin A1c (HbA1c) in a real-world population., Research Design and Methods: Real-Life Effectiveness and Care Patterns of Diabetes Management (RECAP-DM) was a multi-center, observational study. Patients ≥30 years old using any oral anti-hyperglycemic agent were recruited from seven European and five Asian countries between 2006 and 2007. Hypoglycemia events were collected through patient-reported questionnaires. HbA1c data was collected through chart review. Logistic regression was performed to assess the relationship between hypoglycemia and the most proximate HbA1c levels adjusting for potential confounders (demographics, clinical variables, other medication use, and comorbid conditions)., Results: A total of 4399 patients were recruited and analyzed. Mean age was 60 years, 52% were male, and 75% were on sulfonylureas (S.U.s). Respectively, 37% or 42% of patients reported hypoglycemia in the past 6 (Asia) or 12 months (Europe) before recruitment. Prevalence of hypoglycemia increased significantly (33% to 40%) as HbA1c decreased (p = 0.035). The same trend was also observed among S.U.-treated patients (p < 0.01). After adjusting for confounders, hypoglycemia prevalence was significantly higher for HbA1c <7.0% (odds ratio [O.R.] = 1.66 [95% C.I. 1.21, 2.28]; p = 0.002) vs. HbA1c ≥10.0%., Limitations: Our analyses pooled data from Asia and Europe, which differed in terms of the recall period for ascertaining hypoglycemia symptoms and the timing of latest HbA1c measure., Conclusions: Lower HbA1c level was associated with higher hypoglycemia prevalence among S.U.-treated patients. HbA1c level should be taken into consideration when reporting hypoglycemia prevalence.

Background: The American Diabetes Association (ADA) recommends metformin to treat individuals diagnosed with type 2 diabetes and recommends that hemoglobin A1c (HbA1c) be maintained below or around 7%. If the HbA1c target is not achieved or maintained by metformin monotherapy at maximal tolerated dose over 3 to 6 months, treatment modification with addition of a second oral antihyperglycemic agent or by initiating insulin is recommended. Despite the importance of attaining and maintaining HbA1c goals, actual treatment behavior may not follow ADA guidelines to add a second oral agent or to initiate insulin as expected even considering that individual patient's needs are taken into account when treatment decisions are made., Objective: To evaluate treatment addition for metformin monotherapy users with suboptimal glycemic control and associated factors., Methods: A retrospective health care claims study identified 7,109 subjects aged 18 to 89 years, treated for type 2 diabetes with an HbA1c > 7% following at least 60 days of continuous metformin monotherapy. Subjects were required to have 12 months continuous enrollment with the health plan before and after the index lab date. Pharmacological treatment additions after the HbA1c lab result and time to treatment addition were evaluated. A logistic regression model was used to evaluate the patient characteristics and comorbidities associated with the treatment addition., Results: Thirty-eight percent of study subjects had evidence of addition of a second antidiabetic medication to primary metformin monotherapy, 57.5% remained on metformin monotherapy, and 4.5% discontinued metformin altogether. A logistic regression model found age inversely related to treatment addition: age 45-64 versus 18-44 (OR = 0.77, 95% CI = 0.59-0.99) and age 65-89 versus 18-44 (OR = 0.57, 95% CI = 0.43-0.74). HbA1c was positively related to treatment addition: > 8%-9% versus > 7%-8% (OR = 2.31, 95% CI = 2.00-2.67); > 9%-10% versus > 7%-8% (OR = 2.88, 95% CI = 2.32-3.58); and > 10% versus > 7%-8% (OR = 3.54, 95% CI = 2.92-4.28). Evidence of ophthalmic disorder was not related to treatment addition (P = 0.056), but evidence of hypertension (OR = 1.56, 95% CI = 1.28-1.89); hyperlipidemia (OR = 1.28, 95% CI = 1.05-1.55); other cardiovascular diseases (OR = 1.30, 95% CI = 1.16-1.45); obesity (OR = 1.21, 95% CI = 1.08-1.36); and renal disease (OR = 1.35, 95% CI = 1.21-1.51) were associated., Conclusions: The majority of the metformin monotherapy users with suboptimal glycemic control did not initiate add-on therapy as recommended by guidelines, and prolonged time on metformin monotherapy demonstrated clinical inertia in real-world clinical practice. Several factors were associated with this delay including older age, lower index HbA1c, and lack of evidence of certain comorbidities.

Introduction: Hypoglycemia is an acute complication of diabetes that increases morbidity, mortality and disease costs. We aim to estimate healthcare resource consumption and costs associated with severe hypoglycemia using the societal perspective., Methods: A cross-sectional, observational, nationwide, multicenter, hospital-based study was conducted in seven centers of Portuguese mainland with a 1-year enrolment period. Unit costs were extracted from official/public data sources. Patient-level data were used to quantify healthcare resource use related to emergency transportation, emergency-department care and hospitalization. Productivity loss was calculated based on the Human Capital Approach., Results: The study enrolled 238 Type-2 diabetic patients and the proportion of hypoglycemic episodes among all emergency events during the study period was 0.075% (95% CI: 0.067-0.083%). Mean patient age was 76 years and 57.6% were female. At time of the emergency department admission, 55% of patients were using insulin, 31.5% were being treated with secretagogues, 6.7% were on a combination of both, and 6.7% were on other oral antihyperglycemic agents. Estimated mean costs in the emergency department were: emergency transportation €33, medication €4, laboratory workup €56, other exams €72, physician and nurse time €30 and €13, respectively. Mean hospitalization cost was €1271. Indirect cost averaged €15. Overall cost per hypoglycemic episode averaged €1493 (standard deviation: €2962; range: €34-26,818). Patients treated with secretagogues had the highest rates of hospitalizations and mean costs., Conclusion: We conclude that severe hypoglycemic events represent a substantial cost for society and in particular for the hospitals of the National Health Service.

To evaluate adherence to oral antihyperglycemic monotherapy, we conducted a retrospective cohort study of a UK clinical database. The mean proportion of days covered was 73.5%, and 60.1% of patients were adherent. Younger age and fewer concomitant medications were negatively associated with the likelihood of being adherent., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Introduction: Previous research has demonstrated a correlation among patient preferences, dosing burden, and medication nonadherence, a well-recognized challenge in type 2 diabetes mellitus (T2DM). The objective of this study was to elicit preferences for alternative dosing regimens for oral antihyperglycemic therapies among patients with T2DM and to quantify differences in dosing preferences among patients with different characteristics., Methods: Preferences for dosing of oral antihyperglycemic drugs (OAD) were evaluated by surveying patients with T2DM in the United States (US). Survey participants were adult US patients with T2DM who were taking no or only 1 OAD and no injectable therapies. Each patient completed a web-enabled discrete-choice experiment (DCE) including a series of 8 pairs of hypothetical OAD profiles. Each profile was defined by reductions in average glucose, dosing schedule (e.g., once-weekly, once-daily, or twice-daily dosing), chance of mild-to-moderate gastrointestinal side effects, frequency of hypoglycemia, weight change, incremental risk of congestive heart failure, and cost. Each participant also answered a direct question about dosing preference. Random-parameters logit was used to analyze the DCE data. Prespecified subgroups were analyzed., Results: Of 2,262 patients invited to participate, 923 were included in the analysis (mean age 63 years, 45% male, 79% white). Reducing dosing frequency was statistically significantly important to patients; however, it was relatively less important than medication cost or clinical outcomes. On average, patients preferred once-weekly to once-daily dosing. Patients not currently taking an OAD had a stronger preference for once-weekly dosing than patients on treatment (P = 0.012). Patients younger than 45 years had a stronger preference for weekly dosing than older patients (P < 0.075)., Conclusions: For younger patients and patients not currently on treatment, once-weekly dosing may provide additional incentive to initiate and adhere to antihyperglycemic treatment; however, additional research will be required to confirm this hypothesis.

Objective: To estimate overall rates of adherence, persistence, and discontinuation for patients with type 2 diabetes mellitus (T2DM) prescribed oral antihyperglycemic agents (OAHAs) by combining results of published studies., Research Design and Methods: A systematic literature review was conducted to identify articles published in English over the last 10 years evaluating the use of OAHAs for the treatment of T2DM. Databases searched included PubMed/MEDLINE, EMBASE, and the Cochrane Library. Seventy studies reporting adherence, persistence or discontinuation were identified by two independent reviewers and 40 reported relevant endpoints for the analysis. Outcomes included: (1) mean adherence defined as the average medication possession ratio (MPR); (2) proportion of adherent patients (MPR ≥ 80%); (3) discontinuation; and (4) persistence. Adherence and persistence were reported in observational studies only. Discontinuation was examined separately in randomized controlled trials (RCTs) and observational studies. Meta-analyses were conducted using both fixed and random effects models. When meta-analysis was not appropriate for a given outcome, descriptive statistics were provided., Results: The pooled mean MPR (95% confidence interval [CI]) was 75.3% (68.8%-81.7%; n = 13) and the proportion of adherent patients (95% CI) was 67.9% (59.6%-76.3%; n = 12). The discontinuation rate (95% CI) in RCTs was 31.8% (17.0%-46.7%; n = 7). Persistence and discontinuation were not assessed via meta-analysis for observational studies due to the limited number of available studies and differences in outcome definitions. In these studies, persistence estimates ranged from 41.0% to 81.1%, with a mean (95% CI) of 56.2% (46.1%-66.3%; n = 6), while discontinuation estimates ranged from 9.9% to 60.1%, with a mean (95% CI) of 31.4% (17.6%-45.3%; n = 6)., Limitations: Limitations include (1) the use of MPR as a proxy for adherence, (2) limited number of studies available, and (3) observed heterogeneity., Conclusion: The results of the analysis demonstrate that medication adherence, persistence, and discontinuation rates are suboptimal in patients with T2DM prescribed OAHAs.

Aims: Type 2 diabetes is a reported risk factor for more frequent and severe urinary tract infections (UTI). We sought to quantify the annual healthcare cost burden of UTI in type 2 diabetic patients., Methods: Adult patients diagnosed with type 2 diabetes were identified in MarketScan administrative claims data. UTI occurrence and costs were assessed during a 1-year period. We examined UTI-related visit and antibiotic costs among patients diagnosed with UTI, comparing those with versus without a history of UTI in the previous year (prevalent vs. incident UTI cases). We estimated the total incremental cost of UTI by comparing all-cause healthcare costs in patients with versus without UTI, using propensity score-matched samples., Results: Within the year, 8.2% (6,014/73,151) of subjects had ≥1 UTI, of whom 33.8% had a history of UTI. UTI-related costs among prevalent versus incident cases were, respectively, $603 versus $447 (p=0.033) for outpatient services, $1,607 versus $1,819 (p=NS) for hospitalizations, and $61 versus $35 (p<0.0001) for antibiotics. UTI was associated with a total all-cause incremental cost of $7,045 (95% CI: 4,130, 13,051) per patient with UTI per year., Conclusions: UTI is common and may impose a substantial direct medical cost burden among patients with type 2 diabetes., (Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: To assess the time from the first observed diagnosis of type 2 diabetes (T2DM) to initiation of an oral antihyperglycemic agent (OAHA) and statin., Methods: In a retrospective US cohort study using the GE electronic medical record database, patients ≥18 years were included if they had a T2DM diagnosis between January 1, 2004 and December 31, 2005 (index period), had a last pre-index HbA1c value ≥7%, and had not received antihyperglycemic agents within one year prior to diagnosis (index date). Patients were eligible for statin therapy but not on a statin within one year before the index date. Patients had medical records for one year prior to (baseline) and two years after (follow up) diagnosis., Results: Of the 2254 eligible patients, 58% were male, mean age was 58 years, mean HbA1c was 8.5%, and mean LDL cholesterol was 115 mg/dL (2.97 mmol/L) at baseline. Additionally, 21% of patients had pre-existing overt cardiovascular disease, 40% had dyslipidemia, 37% were obese, and 11% were smokers. During follow-up, 66.1% and 41.9% of patients initiated an OAHA and a statin, respectively. Among the treated patients, median time from the first observed diabetes diagnosis to therapy initiation was 3 months (interquartile range: 1, 9) for OAHAs and 6 months (2, 13) for statins., Limitations: Treatment initiation with injectable antihyperglycemic agents and/or non-statin lipid-modifying therapies as well as contraindications to OAHAs or statins were not assessed, therefore their impact on our study results cannot be determined. Laboratory measurements were not available for every patient and thus many patients were excluded from the analysis., Conclusion: Treatment initiation with OAHAs and/or statins was suboptimal in patients with T2DM who were treatment eligible and previously untreated with OAHAs and statins. Of those treated, patients initiated treatment with an OAHA more often and earlier than with a statin.

Objective: Understanding of the effects of providers' cost on regional variation in healthcare spending is still very limited. The objective of this study is to assess cross-state and cross-region variations in inpatient cost of lower extremity amputation among diabetic patients (DLEA) in relation to patient, hospital, and state factors., Methods: Patient and hospital level data were obtained from the 2007 US Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project (HCUP). State level data were obtained from the US Census Bureau and the Kaiser Family Foundation websites. Regression models were implemented to analyze the association between in-patient cost and variables at patient, hospital, and state levels., Results: This study analyzed data on 9066 DLEA hospitalizations from 39 states. The mean cost per in-patient stay was $17,103. Four out of the five most costly states were located on the East and West coasts (NY and NJ, CA and OR). Age, race, length of stay, level of amputation, in-patient mortality, primary payer, co-morbidities, and type of hospital were significantly correlated with in-patient costs and explained 55.3% of the cost variance. Based on the means of costs unexplained by those factors, the three West coast states had the highest costs, followed by five Midwestern states, and four Southern states, and Kansas were the least costly., Conclusions: Over 40% of the variations in DLEA hospital costs could not be explained by major patient-, hospital-, and state-level variables. Further research is needed to examine whether similar patterns exist for other costly surgical procedures among diabetic patients.

Introduction: To identify reasons why primary care physicians (PCPs) do not treat older patients newly diagnosed with type 2 diabetes mellitus (T2DM) with antihyperglycemic agents following diagnosis., Methods: US PCPs were surveyed via the internet regarding their reasons for not treating patients aged >65 years diagnosed with T2DM and had not yet initiated antihyperglycemic therapy for ≥6 months after diagnosis. PCPs were requested to provide relevant clinical information for untreated older patients and select applicable reasons for not initiating treatment from a list of 35 possibilities, grouped into five categories., Results: A total of 508 PCPs completed the online survey and provided complete clinical data for 770 patients. The reasons provided by the first-ranked physician for not initiating antihyperglycemic therapy were related to diet and exercise (57.5%); mild hyperglycemia (23.8%); patient's concerns (13.4%); concerns about antihyperglycemic agents (3.0%); and comorbidities and polypharmacy (2.3%). The "diet and exercise" category was the most common first-ranked non-treatment reason, regardless of recent hemoglobin A(1c) (HbA(1c)) stratum. Reasons within the "patient's concerns," "concerns related to antihyperglycemic agents," and "comorbidities and polypharmacy" categories tended to be selected more often as first-ranked reasons by physicians for patients with higher HbA(1c) values. Of the 158 patients whose physicians planned to initiate antihyperglycemic therapy within the next month, 54.4% already had a most recent HbA(1c) value above their physician-stated threshold for treatment initiation., Conclusion: In the PCPs studied, there was a tendency to select appropriate reasons for non-treatment with antihyperglycemic agents given their patients' glycemic status. However, there was inertia related to the initiation of pharmacological therapy in some older patients with newly diagnosed T2DM. Important factors included physicians' perceptions of "mild" hyperglycemia and the HbA(1c) threshold for using antihyperglycemic agents.

Objectives: To compare compliance and persistence with statin and oral antihyperglycemic therapies in patients with type 2 diabetes who received concomitant therapy., Study Design: Retrospective cohort study using a large US commercial claims database., Methods: Patients with type 2 diabetes and dispensed prescriptions for both statin and oral antihyperglycemic therapies on the same date in 2006 (index date = first date of such dispensing) were included in the analysis (N = 52,414). Patients were required to have continuous enrollment in the database for 1 year prior to (baseline) and 2 years after (follow-up) index date. The 2-year medication possession ratio (MPR) was compared between statin and oral antihyperglycemic therapy. For the persistence analysis, treatment discontinuation was defined by a gap >30 days between the last date of supply from previous dispensing and subsequent refill. The likelihood of discontinuation of statin versus oral antihyperglycemic therapy was estimated by fitting a robust Cox proportional hazards regression model, adjusted for baseline variables., Results: The 2-year MPR was 70% for statin and 78% for oral antihyperglycemic therapy (P <.0001). The proportion of patients with a 2-year MPR >80% was 52% for statin and 63% for oral antihyperglycemic therapy (P <.0001). The median time to discontinuation of statin was significantly shorter compared with oral antihyperglycemic therapy (284 vs 495 days, P <.001). There was a greater risk to discontinue statin than oral antihyperglycemic therapy (adjusted hazard ratio: 1.47 [95% confidence interval 1.45-1.48])., Conclusions: Compliance and persistence with statin therapy significantly lagged behind oral antihyperglycemic therapy in patients with type 2 diabetes who were treated concomitantly with both therapies.

Purpose: To examine and quantify, at the US national level, the marginal differences in health-related quality of life (HRQoL) of diabetic patients with and without macrovascular comorbid conditions (MaVCC)., Methods: Using the pooled Medical Expenditure Panel Survey (MEPS) 2001 and 2003 data, a nationally representative community-dwelling adult sample (age ≥ 18) was included in the study. HRQoL measures included the preference-based EQ-5D index, Euroqol visual analogue scale (EQ-VAS), SF-12 physical component summary (PCS), and SF-12 mental component summary (MCS). Given the censored distribution of the data, a two-part model was used to identify the relationship between MaVCC and the EQ-5D index after controlling for age, sex, race, ethnicity, education, income, employment status, health insurance, smoking status, diabetes severity, and comorbidities. Censored least absolute deviation and ordinary least square models were employed to analyze EQ-VAS and SF-12 PCS/MCS, respectively., Results: Compared to diabetic patients without MaVCC (N = 2431), those with MaVCC (N = 747) had significantly lower EQ-5D index (-0.062), EQ-VAS (-9.2), SF-12 PCS (-5.0), and MCS (-2.1) after controlling for differences in sociodemographics, smoking status, diabetes severity, and comorbidities (all P < 0.001)., Conclusions: MaVCC is consistently associated with lower HRQoL for patients with diabetes in the United States. Results of this study are valuable for future comparative-effectiveness and cost-effectiveness analyses in diabetes.

Background: Some oral antihyperglycemic agents may increase risk of hypoglycemia and thereby reduce patient quality of life. Our objective was to assess the impact of the severity and frequency of self-reported hypoglycemia on health-related quality of life (HRQoL) among patients with type 2 diabetes treated with oral antihyperglycemic agents., Findings: A follow-up survey was conducted in participants with self-reported type 2 diabetes treated with oral antihyperglycemic agents from the US National Health and Wellness Survey 2007. Data were collected on the severity and frequency of hypoglycemic episodes in the 6 months prior to the survey, with severity defined as mild (no interruption of activities), moderate (some interruption of activities), severe (needed assistance of others), or very severe (needed medical attention). HRQoL was assessed using the EuroQol-5D Questionnaire (EQ-5D) US weighted summary score (utility) and Worry subscale of the Hypoglycemia Fear Survey (HFS). Of the participants who completed the survey (N = 1,984), mean age was 58 years, 57% were male, 72% reported an HbA1c <7.0%, and 50% reported treatment with a sulfonylurea-containing regimen. Hypoglycemic episodes were reported by 63% of patients (46% mild, 37% moderate, 13% severe and 4% very severe). For patients reporting hypoglycemia, mean utility score was significantly lower (0.78 versus 0.86, p < 0.0001) and mean HFS score was significantly higher (17.5 versus 6.2, p < 0.0001) compared to patients not reporting hypoglycemia. Differences in mean scores between those with and without hypoglycemia increased with the level of severity (mild, moderate, severe, very severe) for utility (0.03, 0.09, 0.18, 0.23) and HFS (6.1, 13.9, 20.1, 25.6), respectively. After adjusting for age, gender, weight gain, HbA1c, microvascular complications, and selected cardiovascular conditions, the utility decrement was 0.045 (by level of severity: 0.009, 0.055, 0.131, 0.208), and the HFS increase was 9.6 (by severity: 5.3, 12.4, 17.6, 23.2). HRQoL further decreased with greater frequency of hypoglycemic episodes., Conclusions: Self-reported hypoglycemia is independently associated with lower HRQoL, and the magnitude of this reduction increases with both severity and frequency of episodes in patients with type 2 diabetes treated with oral antihyperglycemic agents.

Objectives: To determine the incidence of hypoglycaemia during Ramadan in Muslim subjects with type 2 diabetes treated with a sulphonylurea., Methods: In an observational study, eligible subjects were Muslims with type 2 diabetes (age ≥18 years) who were treated with glimepiride, gliclazide, or glibenclamide with or without metformin and who expressed their intention to fast during Ramadan in 2009. Subjects were recruited by clinicians in India, Malaysia, Israel, the United Arab Emirates (UAE), and Saudi Arabia. Each day during Ramadan, patients completed diary cards, which collected information regarding hypoglycaemic symptoms and complications, time from last meal and from last medication, self-monitored blood glucose measurements, and need for assistance. The overall incidence of symptomatic hypoglycaemia recorded during Ramadan was the primary endpoint of interest., Results: Of the enrolled subjects (N = 1397), 1378 returned their diary cards at study end and were included in the analysis. Overall, 89% of subjects who expressed their intention to fast prior to Ramadan reported that they observed the fast during Ramadan. A total of 271 subjects (19.7%) experienced one or more symptomatic hypoglycaemic events during Ramadan, with incidences of 25.6%, 16.8%, and 14.0% observed in subjects treated with glibenclamide, glimepiride, and gliclazide, respectively. By country, the highest incidence of hypoglycaemia was reported by subjects from Israel (40%) followed by those from Malaysia (24%), the UAE (18%), India (13%), and Saudi Arabia (10%). The overall incidence of severe hypoglycaemic events (i.e., events requiring medical or non-medical assistance) was 6.7%, with the highest incidence occurring in the glibenclamide group., Limitations: This was an observational study and as such subjects were not randomised to treatments. While baseline measures appeared comparable, it is possible that differences in measured and unmeasured patient characteristics (e.g., measures of glycaemic control) could partially explain these results. Lastly, no inferential testing was performed on the comparisons between sulphonylurea types and/or countries., Conclusions: In this five-country observational study, nearly 20% of sulphonylurea-treated Muslim subjects with type 2 diabetes experienced symptomatic hypoglycaemia while fasting during Ramadan, with variations across sulphonylureas and countries.

Objectives: To estimate the proportion of patients with type 2 diabetes who were eligible for statin treatment per American Diabetes Association (ADA) recommendations and the proportion who were actually prescribed a statin in US clinical practice. Factors associated with receiving a statin prescription were also determined., Methods: Patients ≥ 25 years diagnosed with type 2 diabetes or had received prescriptions for antihyperglycemic agents between 7/2006 and 6/2008 were identified within a large electronic medical record database. Eligibility for statin therapy was determined according to 2008 ADA recommendations. Statin use was assessed based on prescription records during a 12-month follow-up period. An adjusted logistic regression analysis was performed to estimate the likelihood of statin use in relation to selected baseline characteristics., Results: Of the 125,464 patients identified, 98.5% were eligible for statin therapy. Only 62.9% received a statin prescription during follow-up period. In an adjusted logistic regression, factors associated with increased likelihood of statin use were older age, male gender, smoking, history of cardiovascular conditions, and receiving an antihyperglycemic, antihypertensive, or anticoagulant prescription at baseline (all p < 0.05)., Limitations: Of the patients who did not receive statin during follow-up, 13% of them were previously on a statin during the baseline period. The reasons for discontinuing therapy are not known. It cannot be excluded that some of these patients were intolerant or had contraindications to statin. The data on prescription dispensing and compliance were not recorded., Conclusions: Nearly all patients with type 2 diabetes were eligible for statin therapy, but less than two-thirds received statin therapy in US clinical practice. Efforts to minimize this gap are warranted.

Background: The prevalence of Type 2 diabetes mellitus continues to rise. Although glucagon-like peptide-1 (GLP-1) analog and dipeptidyl peptidase-4 (DPP-4) inhibitor medications are effective, there are differences between these products, including method of administration (injectable versus oral). The objective of this study was to examine patient preferences (and predictors of preferences) for two different medication profiles, one similar to a GLP-1 analog (liraglutide) and another similar to a DPP-4 inhibitor (sitagliptin)., Methods: Internet survey data were collected in two waves (wave 1, n = 2402; wave 2, n = 1340) using patients from the US and Europe. Patients were presented with two hypothetical medication profiles ("drug A" and "drug B", resembling sitagliptin and liraglutide, respectively) and asked to report their preferences., Results: Most patients in wave 1 and wave 2 reported that overall they would prefer a drug with the sitagliptin-like profile (81.9% and 84.4%, respectively) over a drug with the liraglutide-like profile (18.1% and 15.6%, respectively), and >80% of patients reported that they would be able to take a drug with the sitagliptin-like profile as directed by their physician for a longer period. The likelihood of preferring the sitagliptin-like profile significantly increased as age (odds ratio [OR] = 1.02) and importance placed on method of administration (OR = 1.32) increased (P < 0.05). Although the sitagliptin-like profile was preferred by the majority of patients in all subgroups, a lower proportion of patients with obesity, with weight gain, with A1C values above target, and who exercised preferred the sitagliptin-like profile compared with those without obesity (77.0% versus 87.9%), without weight gain (77.8% versus 86.7%), with A1C values at or below target (79.0% versus 86.5%), and who did not exercise (81.6% versus 86.4%), respectively (P < 0.05)., Conclusions: This research suggests that patients (across geographies) prefer an oral medication with a profile resembling sitagliptin to an injectable medication with a profile resembling liraglutide.

Aims: This study examined the relationship of baseline characteristics and medication use in patients with type 2 diabetes who were prescribed sitagliptin versus other oral antihyperglycemic agents in clinical practice settings in the United States., Methods: The General Electric Healthcare's Clinical Data Services electronic medical record (EMR) database, covering 12 million US patients of all ages from 49 states, was used to identify patients with type 2 diabetes, aged >or=30 years, who received their first sitagliptin, metformin, sulfonylurea, or thiazolidinedione prescription between October 2006 and June 2008 (index period) as part of new mono-, dual, or triple therapy regimens. Patient demographics, diagnoses, prescriptions, and laboratory results were extracted for the 12-month period (baseline) prior to the index date (i.e., date of first prescription). Data were stratified by mono-, dual, or triple therapy and compared between sitagliptin regimens and non-sitagliptin regimens with other oral agents (metformin, sulfonylureas, or thiazolidinediones). Adjusted logistic regression analyses were used to estimate odds ratios (OR) associated with prescribing sitagliptin versus other oral monotherapy in relation to patient baseline characteristics., Results: Among 41,836 patients new to oral monotherapy, 876 (2.1%) received sitagliptin. Compared to patients initiating non-sitagliptin monotherapy, patients on sitagliptin monotherapy were older (64 vs. 60 years) and had lower body mass index (33 kg/m(2) vs. 34 kg/m(2)), higher serum creatinine (1.2 vs. 1.0 mg/dL), higher prevalence of chronic renal disease (7.2% vs. 1.9%), greater use of lipid-lowering agents (42% vs. 38%), and higher prevalence of cardiovascular conditions (CVD: 12.7% vs. 8.3%) and microvascular complications (MVD: 13.4% vs. 5.8%) (all p < 0.05). Of 22,683 patients new to dual therapy, 1885 (8.3%) were on sitagliptin regimens. Relative to patients on non-sitagliptin dual therapy regimens, patients prescribed sitagliptin as part of dual therapy regimens were older and had higher serum creatinine, higher prevalence of CVD, MVD, or chronic renal disease, and greater use of lipid-lowering and antihypertensive agents (all p < 0.05). Among 9967 patients new to triple therapy, 2828 (28.4%) were on triple therapy regimens with sitagliptin. Relative to patients on non-sitagliptin triple therapy regimens, patients on sitagliptin as part of triple therapy regimens were older, and had higher serum creatinine and greater use of antihypertensive or lipid-lowering agents (all p < 0.05). Adjusted logistic regression showed that significant predictors of being prescribed sitagliptin monotherapy were older age (OR 1.01, 95% CI 1.00, 1.02), higher HbA(1c) level (OR 1.10, 95% CI 1.04, 1.17), higher serum creatinine level (OR 1.22, 95% CI 1.08, 1.39), presence of MVD (OR 1.50, 95% CI 1.08, 2.09), and presence of chronic renal disease (OR 2.22, 95% CI 1.41, 3.49)., Limitations: Diabetes care delivered by non-participating physicians is not captured in the GE CDS EMR database and, therefore, the prevalence of the diseases identified based on ICD-9 diagnosis/procedure and CPT codes provided in the Appendix may be underestimated. Duration of diabetes was not consistently recorded and some measures were not available., Conclusion: Patients with type 2 diabetes who were prescribed sitagliptin regimens in clinical practice were older and more likely to have pre-existing co-morbid conditions compared to patients receiving non-sitagliptin regimens with other common oral antihyperglycemic agents. These findings have important implications for observational studies in that estimated clinical and health outcome measures may be biased due to channeling of patients to different therapies based on different baseline characteristics.

Background: Although there is a growing body of evidence showing that patients with type 2 diabetes mellitus (T2DM) have poor glycemic control in general, it is not clear whether T2DM patients with pre-existing cardiovascular diseases (CVD) are more or less likely to have good glycemic control than patients without pre-existing CVD. Our aim was to examine the degree of glycemic control among T2DM patients in Europe with and without pre-existing CVD., Methods: This is a matched cohort study based on a multi-center, observational study with retrospective medical chart reviews of T2DM patients in Spain, France, United Kingdom, Norway, Finland, Germany, and Poland. Included patients were aged >= 30 years at time of diagnosis of T2DM, had added a SU or a PPARgamma agonist to failing metformin monotherapy (index date) and had pre-existing CVD (cases). A control cohort with T2DM without pre-existing CVD was identified using 1:1 propensity score matching. With difference-in-difference approach, logistic and linear regression analyses were applied to identify differences in glycemic control by CVD during the follow up period, after controlling for baseline demographics, clinical information, and concurrent anti-hyperglycemic medication use., Results: The percentage of case patients with adequate glycemic control relative to control patients during the 1st, 2nd, 3rd, and 4th years after the index date was 19.9 vs. 26.5, 16.8 vs. 26.5, 18.8 vs. 28.3, and 16.8 vs. 23.5 respectively. Cases were significantly less likely to have adequate glycemic control (odds ratio: 0.62; 95% confidence interval: 0.46-0.82) than controls after adjusting for baseline differences, secular trend, and other potential confounding covariates., Conclusions: T2DM patients with pre-existing CVD tended to have poorer glycemic control than those without pre-existing CVD, all other factors being equal. It suggests that clinicians may need to pay more attention to glycemic control among T2DM patients with CVD.

Introduction: Sitagliptin, an oral dipeptidyl peptidase-4 inhibitor, and exenatide, an injectable glucagon-like peptide-1 receptor agonist, are incretin-based therapies for the treatment of type 2 diabetes. This study examined differences in baseline characteristics between patients with type 2 diabetes initiating sitagliptin vs. exenatide treatment in clinical practice settings in the US., Methods: The General Electric Healthcare's Clinical Data Services electronic medical records database, covering 12 million US patients of all ages from 49 states, was used to identify patients with type 2 diabetes, aged > or =30 years, who received their first sitagliptin or exenatide prescription between October 1, 2006 and June 30, 2008 (index period). Patient's medical records, including demographics, diagnoses, procedures, prescriptions, and laboratory results were extracted for the 12-month period (baseline) prior to the date of the first prescription of sitagliptin or exenatide (ie, the index date). Patient baseline profiles were stratified by mono-, dual, or triple therapy and compared between regimens with sitagliptin or exenatide., Results: A total of 9543 patients initiated therapy with sitagliptin (n=5589) or exenatide (n=3954) during the index period. For those initiating monotherapy, 876 patients initiated sitagliptin and 476 initiated exenatide. Compared with patients initiating exenatide at baseline, patients on sitagliptin were older (64 vs. 55 years), more likely to be men (45% vs. 35%), and less likely to be obese (60% vs. 87%), and had higher hemoglobin A(1c) (HbA(1c); 7.1% vs. 6.9%), a higher serum creatinine (1.2 mg/dL vs. 1.0 mg/dL), and a higher prevalence of pre-existing cardiovascular complications or microvascular conditions (all P<0.01 for sitagliptin vs. exenatide). For dual therapy, 1885 were prescribed sitagliptin and 1392 were prescribed exenatide. For triple therapy, 2828 were prescribed sitagliptin and 2086 were prescribed exenatide. The observed patient profile differences with dual and triple therapy were generally consistent with those observed with monotherapy., Conclusion: In a clinical practice setting, there are differences in the baseline characteristics of patients with type 2 diabetes who are prescribed sitagliptin relative to those prescribed exenatide. These findings have important implications for conclusions drawn from observational studies using medical record or claim databases, as estimated clinical and health outcomes measures may be biased due to channeling of patients to different therapies based on different baseline characteristics.

Numerous pharmaceutical products are launched each year for the treatment of various medical conditions. The prescriber is in a difficult position to determine which the optimal product is for a specific patient, when he has available immediate release as well as sustained action capsules and tablets, chewable tablets and liquid dosage forms. Some have activity within 15 minutes while others take longer. Some are more costly but have never been implicated with gastric distress; some are very widely prescribed and others are not well known. Some are promoted as enhancing compliance and others for schedule simplicity.In order to make sense of the array of diverse product attributes and to determine the value associated with different dosage form features, separate panels of practicing physicians, practicing pharmacists and patients were asked to ascribe value to a list of 10 drug product features that were mentioned in drug product advertisements in medical journals, by indicating what percentage price increase that feature might merit over a basic product without that feature. In addition, the respondents were asked to rank order the mentioned product features.In all three panels, efficacy and safety were accorded the highest status. Pharmacists and patients appeared to be most welcoming of some of the listed features. This pilot study demonstrates that there appears to be a recognized value assigned to some product features and it may differ by audience.

Objective: To examine and quantify from the societal perspective the impact of macrovascular comorbid conditions (MVCCs) on health care and productivity costs in diabetic patients in the U.S., Research Design and Methods: With use of the pooled Medical Expenditure Panel Survey (MEPS) 2004 and 2006 data, a nationally representative adult sample (aged >or=18 years) was included in the study. Health care cost was measured by the annual health care expenditure. Productivity cost was calculated from the lost productivity from missed work days and additional bed days due to illness/injury based on the 2006 average national hourly wage. Both 2004 and 2006 cost data were adjusted to 2006 dollars. Given the heavily right-skewed distribution of the cost data, the generalized linear model with log-link function and gamma variance was used to identify the relationship between MVCCs and costs after controlling for age, sex, race, ethnicity, education, income, employment status, smoking status, health insurance, diabetes severity, and comorbidities. Negative binomial models were applied to analyze the outcomes of missed work days and bed days. All statistics were adjusted using the proper sampling weight from MEPS., Results: Compared with diabetic patients without MVCCs (n = 3,320), those with MVCCs (n = 913) had statistically significant higher annual health care costs (5,120 USD, P < 0.001), more missed work days (13.03 days, P < 0.001), and more bed days (7.60 days, P = 0.025) per patient after controlling for differences in sociodemographics, smoking, diabetes severity, and comorbidities. The marginal lost productivity cost was 2,388 USD annually per patient., Conclusions: From the U.S. societal perspective, MVCCs in diabetic patients are associated with increased health care and lost productivity costs.

Objectives: To determine the effect of lower urinary tract symptoms, including overactive bladder/urinary incontinence, on health outcomes., Methods: Data were obtained from the 2006 U.S. National Health and Wellness Survey. Cases (those who reported experiencing a sudden overwhelming urge to urinate, a frequent urge to urinate, or urinating >8 times/d) were matched 1:1 with controls (those not experiencing any symptoms) by age, race, sex, educational attainment, and comorbidity status. The outcome measures assessed included health resource use, work productivity loss/activity impairment, and health-related quality of life., Results: Of the 62,833 respondents to the 2006 U.S. National Health and Wellness Survey, 13,957 case-control pairs were matched. The presence of lower urinary tract symptoms, including OAB/UI symptoms, was significantly associated with increased resource use (emergency room visits, odds ratio -1.57, 95% confidence interval -1.47-1.68; hospitalizations, odds ratio -1.56, 95% confidence interval 1.43-1.69; medical provider visits, odds ratio -1.52, 95% confidence interval 1.41-1.63), 8.03% greater overall work productivity loss (P < .001), 12.88% greater activity impairment (P < .001), and decreased health- related quality of life (mental scores, 4.07 points lower [P < .001]; physical scores, 4.14 points lower [P < .001])., Conclusions: The burden of illness associated with lower urinary tract conditions, including OAB/UI, extend beyond the diagnosed population. The appropriate diagnosis and treatment of symptoms could lead to better clinical, economic, and humanistic outcomes.

Background: Concomitant allergic rhinitis (AR) adds to the symptomatic burden of asthma., Scope: To determine the proportion of adults with concomitant asthma and AR whose AR is diagnosed and/or treated, data were derived from a cross-sectional, stratified, random sample of 26,468 adults from France, Germany and the UK, participants in the 2004 web-based National Health and Wellness Survey. Patients were drawn from the database if they reported (1) experiencing asthma in the prior 12 months, (2) a physician diagnosis of asthma, and (3) ever experiencing 'nasal allergies/hay fever' (physician diagnosed or self-reported symptoms)., Findings: Of 1139 patients with asthma who reported AR, 203 (18%) did not have a diagnosis of AR. Of these, 86 (42%) pursued over-the-counter self-treatment for AR, and 117 (58%) remained untreated. Of 936 patients who reported diagnosed AR, 471 (50%) received AR prescriptions, 200 (21%) pursued over-the-counter self-treatment, and 265 (28%) remained untreated. Overall, 34% of patients with asthma and diagnosed or self-reported AR were not treated for AR. There were no significant differences in QoL over the prior 4 weeks, nor healthcare resource use over the prior 6 months between patients treated and those not treated for AR., Conclusion: Based on self-reported data, despite global treatment guidelines recommending evaluation and treatment of AR among patients with asthma, AR was not diagnosed for 1 in 5 patients, and AR was not treated for 1 in 3 patients with asthma.

Objective: The adequate attainment and maintenance of good hemoglobin A1c control in diabetes are major challenges. Although insulin use as the mainstay of diabetes treatment has resulted in favorable treatment outcomes, poor adherence/compliance occurs due to factors such as fear of insulin or fear of injection. This study was undertaken to conduct a systematic review of the impact of fear of insulin/injection on the treatment outcomes of diabetes patients., Methods: A structured search of EMBASE, Ovid MEDLINE, PubMed, and PsycINFO for the years 1990-2008 was conducted to identify published English-language articles addressing fear of insulin or fear of injection in diabetes. The following key words and their combinations were used in the search: diabetes, insulin, injection, fear, phobia, and psychological insulin resistance. Google Scholar website was used to search for any additional references. Manual searches on the references of retrieved articles were also performed to find additional studies., Results: Six studies were selected for in depth assessment. The treatment outcomes included hemoglobin A1c in two studies, complications of diabetes in two studies, general health and psychological comorbidities in two studies, and mortality in one study. Although the number of studies was limited, all identified adverse treatment outcomes in diabetes patients with fear of insulin or fear of injection. No studies with outcomes of resource utilizations or costs were identified., Limitations: Most of the studies we reviewed had a cross-sectional design, where the findings primarily presented associations without firm determinations of the impact of fear of insulin/injection on the treatment outcomes of diabetes., Conclusions: Fear of insulin or fear of injection is associated with poor glycemic control, clinical complications, psychological comorbidities, poor general well-being and health status, and increased risk of mortality for diabetes patients.

Osteoporosis is a problem that is relevant to public health from the clinical, economic and social viewpoints. Except in a handful of industrialized countries, there is a considerable void in our knowledge of the magnitude of the problem. By exploring both the epidemiological and the economic impact of osteoporosis and the fractures associated with it in a particular country, studies of the 'burden of illness' (BOI) can fill that void. BOI analysis raises many questions at both the conceptual and the practical level. The purpose of this paper is to review the methodology underlying analyses of this type, to discuss its limitations and to provide a general format to improve their implementation in the field of osteoporosis. Investigators involved in BOI analysis should be very clear and explicit regarding the methods they adopt, so that studies in different countries can be interpreted and compared appropriately by interested parties.