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Aim: To examine the hypothesis that, based on their glucose curves during a seven‐point oral glucose tolerance test, people at elevated type 2 diabetes risk can be divided into subgroups with different clinical profiles at baseline and different degrees of subsequent glycaemic deterioration. Methods: We included 2126 participants at elevated type 2 diabetes risk from the Diabetes Research on Patient Stratification (IMI‐DIRECT) study. Latent class trajectory analysis was used to identify subgroups from a seven‐point oral glucose tolerance test at baseline and follow‐up. Linear models quantified the associations between the subgroups with glycaemic traits at baseline and 18 months. Results: At baseline, we identified four glucose curve subgroups, labelled in order of increasing peak levels as 1–4. Participants in Subgroups 2–4, were more likely to have higher insulin resistance (homeostatic model assessment) and a lower Matsuda index, than those in Subgroup 1. Overall, participants in Subgroups 3 and 4, had higher glycaemic trait values, with the exception of the Matsuda and insulinogenic indices. At 18 months, change in homeostatic model assessment of insulin resistance was higher in Subgroup 4 (β = 0.36, 95% CI 0.13–0.58), Subgroup 3 (β = 0.30; 95% CI 0.10–0.50) and Subgroup 2 (β = 0.18; 95% CI 0.04–0.32), compared to Subgroup 1. The same was observed for C‐peptide and insulin. Five subgroups were identified at follow‐up, and the majority of participants remained in the same subgroup or progressed to higher peak subgroups after 18 months. Conclusions: Using data from a frequently sampled oral glucose tolerance test, glucose curve patterns associated with different clinical characteristics and different rates of subsequent glycaemic deterioration can be identified. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular medications have well-established benefits in the primary and secondary prevention of cardiovascular diseases. Unfortunately, adherence to these medicines is often suboptimal. To develop interventions intended to enhance adherence to cardiovascular medications, more insight is needed into the complex character of medication nonadherence. Objective: The aim of the present study was to identify which factors are associated with nonadherence to cardiovascularmedications in a sample of patients from Dutch community pharmacies. Methods: In this cross-sectional study, patients using cardiovascular medications from 23 community pharmacies were included. Patient demographics, medication and disease characteristics, knowledge, quality of life, attitude toward medicines, and satisfaction with information were assessed. Both an adherent sample (n = 146) and a sample of patients nonadherent to prescribed medications (n = 109) during the last 6 months as assessed with pharmacy refill data (proportion of days covered <80%) were selected. Associations with refill nonadherence were assessed using univariate and multivariate logistic regression analyses. Results: In total, 255 patients participated (53.3% men, 71.6 ± 10.9 years). Factors associated with cardiovascular medication nonadherence in multivariate analyses included experiencing difficulties with medication use due to forgetting, having insufficient knowledge on what to do when a dose is forgotten, and having an ambivalent attitude toward medicines (beliefs of high necessity and high concerns). Conclusions: Intervention strategies to enhance cardiovascular medication nonadherence should be targeted mainly to the unintentional dimension of nonadherence and include information and tools to prevent forgetting. Conversely, the influence of factors that underlie intentional nonadherence, particularly patients' beliefs about medicines, should also be addressed. [ABSTRACT FROM AUTHOR]

Objective. With depression being present in approximately 20% of people with type 2 diabetes mellitus (T2DM), we expect equally frequent prescription of antidepressants, anxiolytics, and hypnotics. Nevertheless, prescription data in people with T2DM is missing and the effect of depression on glycaemic control is contradictory. The aim of this study was to assess the prevalence of antidepressants, anxiolytics, and/or hypnotics use in a large, managed, primary care system cohort of people with T2DM and to determine the sociodemographic characteristics, comorbidities, T2DM medication, and metabolic control associated with its use. Method. The prevalence of antidepressants, anxiolytics, and/or hypnotics use in the years 2007–2012 was assessed in the Hoorn Diabetes Care System Cohort from the Netherlands. Results. From the 7016 people with T2DM, 500 people (7.1%) used antidepressants only, 456 people (6.5%) used anxiolytics and/or hypnotics only, and 254 people (3.6%) used a combination. Conclusion. We conclude that in our managed, primary care system 17% of all people with T2DM used antidepressants, anxiolytics, and/or hypnotics. Users of antidepressants, anxiolytics, and/or hypnotics were more often female, non-Caucasian, lower educated, and more often treated with insulin. [ABSTRACT FROM AUTHOR]

Summary: The probability of initiating with anti-osteoporosis therapy increased from 7 % in 2000 to 46 % in 2010. This improvement was greater for patients over the age of 75 years. Men, those overweight, having dementia or exposed to antipsychotics, sedatives/hypnotics or opioid analgesics were significantly less likely to receive anti-osteoporosis drugs. Introduction: The objective of this study was to examine trends and determinants of anti-osteoporosis drug prescribing after hip fracture in the UK between 2000 and 2010. Methods: Data were extracted from the UK Clinical Practice Research Datalink for patients ≥50 years who had a first hip fracture between 2000 and 2010 and who did not currently (≤6 months prior) receive anti-osteoporosis drugs (bisphosphonates, strontium ranelate, parathyroid hormone, calcitonin and raloxifene) ( n = 27,542). The cumulative incidence probability of being prescribed anti-osteoporosis drugs within 1 year after hip fracture was estimated by Kaplan-Meier life-table analyses. Determinants for treatment initiation were estimated by Cox proportional hazards models. Results: The probability of being prescribed any anti-osteoporosis drug after hip fracture increased from 7 % in 2000 to 46 % in 2010. This trend was more marked in patients ≥75 years. The increase in prescribing of anti-osteoporosis drugs was complemented by a similar increase in vitamin D/calcium provision. Cumulative incidence of receiving anti-osteoporosis therapy was greater at any given point in time in women (8 % in 2000, 51 % in 2010) compared to men (4 % in 2000, 34 % in 2010). In addition to male gender, multivariable Cox regression identified reduced likelihood of receiving anti-osteoporosis drugs for those being overweight, having dementia and exposed to psychotropic drugs (antipsychotics, sedatives/hypnotics) or opioid analgesics. Conclusion: Although the prescribing of anti-osteoporosis drugs after hip fracture has increased substantially since 2000, the overall rate remained inadequate, particularly in men. With the continuing increase in the absolute number of hip fractures, further research should be made into the barriers to optimise osteoporosis management. [ABSTRACT FROM AUTHOR]

Summary: Long-term persistence with anti-osteoporosis drugs and determinants for discontinuation among fracture patients were examined. Persistence was 75.0 and 45.3 % after 1 and 5 years, respectively. Those aged ≥80 years were at increased risk of early discontinuation. Within 1 year after discontinuation, 24.3 % restarted therapy, yet 47.0 % persisted for 1 year. Introduction: The risk of osteoporotic fracture can effectively be reduced with use of anti-osteoporosis drugs. However, little is known about persistence with these drugs after fracture where subsequent fracture risk is high. The aims were to determine long-term persistence with anti-osteoporosis drugs among fracture patients, including its determinants, and to describe restart and subsequent persistence. Methods: A cohort study was conducted within the Dutch PHARMO Database Network. Patients aged ≥50 years ( n = 961) who received anti-osteoporosis drugs within 1 year after fracture, but not in the preceding year, were included (2002-2011). Persistence (defined as the proportion on treatment) and the proportion restarting after discontinuation were estimated using Kaplan-Meier analyses. Time-dependent Cox regression was used to identify determinants of non-persistence including age, sex, initial dosage regime, fracture type, comorbidities, and drug use. Results: Persistence with anti-osteoporosis drugs was 75.0 % (95 % confidence interval (CI) 72.0-77.7) and 45.3 % (95 % CI 40.4-50.0) after 1 and 5 years, respectively. A significant determinant of non-persistence was age ≥80 years (reference 50-59 years: adjusted hazard ratio [adj. HR] 1.65; 95 % CI 1.15-2.38). This effect was not constant over time (≤360 days following initiation: adj. HR 2.07; 95 % CI 1.27-3.37; >360 days: adj. HR 1.08; 95 % CI 0.62-1.88). Within 1 year after discontinuation, 24.3 % (95 % CI 20.1-29.2) restarted therapy, yet 47.0 % persisted for 1 year. Conclusions: This study identified suboptimal persistence with anti-osteoporosis drugs among fracture patients. Major target groups for measures aimed to improve persistence may be those aged >80 years and those restarting therapy. [ABSTRACT FROM AUTHOR]

Summary: The risk of a subsequent major or any fracture after a hip fracture and secular trends herein were examined. Within 1 year, 2.7 and 8.4 % of patients sustained a major or any (non-hip) fracture, which increased to 14.7 and 32.5 % after 5 years. Subsequent fracture rates increased during the study period both for major and any (non-hip) fracture. Introduction: Hip fractures are associated with subsequent fractures, particularly in the year following initial fracture. Age-adjusted hip fracture rates have stabilised in many developed countries, but secular trends in subsequent fracture remain poorly documented. We thus evaluated secular trends (2000-2010) and determinants for the risk of a subsequent major (humerus, vertebral, or forearm) and any (non-hip) fracture after hip fracture. Methods: Patients ≥50 years with a hip fracture between 2000 and 2010 were extracted from the UK Clinical Practice Research Datalink ( n = 30,516). Incidence rates, cumulative incidence probabilities, and adjusted hazard ratios (aHRs) were calculated. Results: Within 1 year following hip fracture, 2.7 and 8.4 % of patients sustained a major or any (non-hip) fracture, which increased to 14.7 and 32.5 % after 5 years, respectively. The most important risk factors for a subsequent major fracture within 1 year were the female gender [aHR 1.90, 95 % confidence interval (CI) 1.51-2.40] and a history of secondary osteoporosis (aHR 1.54, 95 % CI 1.17-2.02). The annual risk increased during the study period for both subsequent major (2009-2010 vs. 2000-2002: aHR 1.44, 95 % CI 1.12-1.83) and any (non-hip) facture (2009-2010 vs. 2000-2002: aHR 1.80, 95 % CI 1.58-2.06). Conclusion: The risk of sustaining a major or any (non-hip) fracture after hip fracture is small in the first year. However, given the recent rise in secondary fracture rates and the substantial risk of subsequent fracture in the longer term, fracture prevention is clearly indicated for patients who have sustained a hip fracture. [ABSTRACT FROM AUTHOR]