Increased risk of incident dementia following use of anticholinergic agents: A systematic literature review and meta-analysis.

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.

A randomized study on the usefulness of an electronic outpatient hypoglycemia risk calculator for clinicians of patients with diabetes in a safety-net institution.

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.

Factors associated with clinical inertia in type 2 diabetes mellitus patients treated with metformin monotherapy.

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.

Predictive modeling of hypoglycemia for clinical decision support in evaluating outpatients with diabetes mellitus.

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.

Longitudinal medical resources and costs among type 2 diabetes patients participating in the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS).

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.

Severe hypoglycaemia among patients with type 2 diabetes requiring emergency hospital admission: The Hypoglycaemia In Portugal Observational Study-Emergency Room (HIPOS-ER).

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.

Direct medical costs of severe hypoglycaemic events in patients with type 2 diabetes in England: A retrospective database study.

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, HbA1c 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.

Hypoglycaemia seriousness and weight gain as determinants of cardiovascular disease outcomes among sulfonylurea users.

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.

Adherence, persistence, and treatment discontinuation with sitagliptin compared with sulfonylureas as add-ons to metformin: A retrospective cohort database study.

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.

Assessing occurrence of hypoglycemia and its severity from electronic health records of patients with type 2 diabetes mellitus.

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.

Urinary albumin excretion with sitagliptin compared to sulfonylurea as add on to metformin in type 2 diabetes patients with albuminuria: A real-world evidence study.

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.

Association between hypoglycemia risk and hemoglobin A1C in patients with type 2 diabetes mellitus.

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.

Use of Add-on Treatment to Metformin Monotherapy for Patients with Type 2 Diabetes and Suboptimal Glycemic Control: A U.S. Database Study.

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.

The cost of managing severe hypoglycemic episodes in Type 2 diabetic patients.

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.

Factors associated with adherence to oral antihyperglycemic monotherapy in patients with type 2 diabetes mellitus in the United Kingdom.

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.

Meta-analysis of studies examining medication adherence, persistence, and discontinuation of oral antihyperglycemic agents in type 2 diabetes.

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.

Factors associated with adherence to oral antihyperglycemic monotherapy in patients with type 2 diabetes.

AIM: To estimate the rate of adherence to oral antihyperglycemic monotherapy for patients with type 2 diabetes in the US and describe factors associated with adherence in these patients. MATERIALS AND METHODS: In this retrospective cohort analysis, patients aged 18 years or older with a type 2 diabetes diagnosis received between 1 January 2007 and 31 March 2010 were identified using a large US-based health care claims database. The index date was defined as the date of the first prescription for oral antihyperglycemic monotherapy during this period. Patients had to have continuous enrollment in the claims database for 12 months before and after the index date. Adherence was assessed using proportion of days covered (PDC) and an adjusted logistic regression analysis was performed to evaluate factors associated with adherence (PDC ≥80%). RESULTS: Of the 133,449 eligible patients, the mean age was 61 years and 51% were men. Mean PDC was 75% and the proportion of patients adherent to oral antihyperglycemic monotherapy was 59%. Both mean PDC and PDC ≥80% increased with increasing age and the number of concomitant medications, and were slightly higher in men compared to women. Results from the logistic regression demonstrate an increased likelihood of non-adherence for patients who were younger, new to therapy, on a twice-daily dose, female, or on fewer than three concomitant medications compared to their reference groups. Higher average daily out-of-pocket pharmacy expense was also associated with an increased likelihood of non-adherence. All results were statistically significant (P<0.05). CONCLUSION: Patient characteristics, treatment regimens, and out-of-pocket expenses were associated with adherence to oral antihyperglycemic monotherapy in our study.

A survey of patient preferences for oral antihyperglycemic therapy in patients with type 2 diabetes mellitus.

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.

Disease burden of urinary tract infections among type 2 diabetes mellitus patients in the U.S.

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.