AimsMost studies on the primary prevention of cardiovascular disease (CVD) have been limited to patients at high CVD risk. We assessed the achievement of treatment goals for CVD risk factors among patients with a substantial variation in CVD risk.Methods and resultsThis study was conducted with 7641 outpatients aged ≥50 years, free of clinical CVD and with at least one major CVD risk factor, selected from 12 European countries in 2009. Risk factor definition and treatment goals were based on the 2007 European guidelines on CVD prevention. Cholesterol fractions and glycated haemoglobin (HbA1c) were measured in a central laboratory. Cardiovascular disease risk was estimated with the SCORE equation. Patients' mean age was 63 years (48% men), and 40.1% had a high CVD risk. Among treated hypertensives (94.2%), only 38.8% achieved the blood pressure target of <140/90 mmHg [between-country range (BCR): 32.1–47.5%]. Among treated dyslipidaemic patients (74.4%), 41.2% attained both the total- and LDL-cholesterol target of <5 and <3 mmol/L, respectively (BCR: 24.3–68.4%). Among treated type 2 diabetic patients (87.2%), 36.7% achieved the <6.5% HbA1c target (BCR: 23.4–48.4%). Among obese patients on non-pharmacological treatment (92.2%), 24.7% reached the body mass index target of <30 kg/m2 (BCR: 12.7–37.1%). About one-third of controlled patients on treatment were still at high remaining CVD risk. Although most patients were advised to reduce excess weight and to follow a low-calorie diet, less than half received written recommendations.ConclusionsIn Europe, a large proportion of patients in primary prevention have CVD risk factors that remain uncontrolled, and lifestyle counselling is not well implemented; moreover, there is substantial between-country variation, which indicates additional room for improvement. Raised residual CVD risk is relatively frequent among patients despite control of their primary risk factors and should be addressed.

A high proportion of physicians reported using clinical guidelines for primary CVD prevention. However, time constraints, lack of perceived usefulness and inadequate knowledge were common reasons for not using CVD prevention guidelines or global CVD risk assessment tools.

Background: Healthcare claims databases can provide information on the effects of type 2 diabetes (T2DM) medications as used in routine care, but often do not contain data on important clinical characteristics, which may be captured in electronic health records (EHR). Objectives: To evaluate the extent to which balance in unmeasured patient characteristics was achieved in claims data, by comparing against more detailed information from linked EHR data. Methods: Within a large US commercial insurance database and using a cohort design, we identified T2DM patients initiating linagliptin or a comparator agent within class (i.e., other DPP-4 inhibitors) or outside class (i.e., (pioglitazone or sulfonylureas) between 05/2011-12/2012. We focused on comparators used at a similar stage of diabetes as linagliptin. For each comparison, 1:1 propensity score (PS) matching was used to balance over 100 baseline claims-based characteristics, including proxies of diabetes severity and duration. Additional clinical data from EHRs was available for a subset of patients. We assessed representativeness of the claims-EHR linked subset, evaluated the balance of claims- and EHR-based covariates before and after PS-matching via standardized differences (SD), and quantified the potential bias associated with observed imbalances. Results: From a claims-based study population of 166,613 T2DM patients, 7,219 (4.3%) patients were linked to their EHR data. Claims-based characteristics between the EHR-linked and EHR-unlinked patients were comparable (SD<0.1), confirming representativeness of the EHR-linked subset. The balance of claims-based and EHR-based patient characteristics appeared to be reasonable before PS-matching and generally improved in the PS-matched population, to be SD<0.1 for most patient characteristics and SD<0.2 for select laboratory results and BMI categories, not large enough to cause meaningful confounding. Conclusion: In the context of pharmacoepidemiologic research on diabetes therapy, choosing appropriate comparison groups paired with a new user design and 1:1 PS matching on many proxies of diabetes severity and duration improves balance in covariates typically unmeasured in administrative claims datasets, to an extent that residual confounding is unlikely.

Background Recent years have witnessed a growing body of observational literature on the association between glucose-lowering treatments and cardiovascular disease. However, many of the studies are based on designs or analyses that inadequately address the methodological challenges involved. Methods We reviewed recent observational literature on the association between glucose-lowering medications and cardiovascular outcomes and assessed the design and analysis methods used, with a focus on their ability to address specific methodological challenges. We describe and illustrate these methodological issues and their impact on observed associations, providing examples from the reviewed literature. We suggest approaches that may be employed to manage these methodological challenges.Results From the evaluation of 81 publications of observational investigations assessing the association between glucose-lowering treatments and cardiovascular outcomes, we identified the following methodological challenges: 1) handling of temporality in administrative databases; 2) handling of risks that vary with time and treatment duration; 3) definitions of the exposure risk window; 4) handling of exposures that change over time; and 5) handling of confounding by indication. Most of these methodological challenges may be suitably addressed through application of appropriate methods. Conclusions/interpretation Observational research plays an increasingly important role in the evaluation of the clinical effects of diabetes treatment. Implementation of appropriate research methods holds the promise of reducing the potential for spurious findings and the risk that the spurious findings will mislead the medical community about risks and benefits of diabetes medications.

SUMMARY BackgroundFew studies have examined the incidence of uncomplicated peptic ulcer or the trends in factors affecting its incidence.