Risk of acute pancreatitis among new users of empagliflozin compared to sulfonylureas in patients with type 2 diabetes: A post-authorization safety study.

PURPOSE: This study was undertaken to evaluate the potential risk of acute pancreatitis with empagliflozin in patients with type 2 diabetes (T2D) newly initiating empagliflozin. METHODS: Data from two large US claims databases were analyzed in an observational study of patients with T2D receiving metformin who were newly prescribed empagliflozin versus sulfonylurea (SU). Because dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists have been associated with the risk of acute pancreatitis in some studies, patients on these agents were excluded. Using pooled analyses of data from the two databases (2014-2021), patients initiating empagliflozin were matched 1:1 within database to patients initiating SU using propensity scores (PS) that incorporated relevant demographic and clinical characteristics. Prespecified sensitivity analyses were performed for design parameters. RESULTS: The analyses identified 72 661 new users of empagliflozin and 422 018 new users of SUs, with both patient groups on concurrent metformin therapy. Baseline characteristics within treatment groups appeared to be similar across the 72 621 matched pairs. After mean follow-up of ~6 months, incidence rates of acute pancreatitis in the pooled matched cohort were 10.30 (95% confidence interval [CI] 9.29-11.39) events per 1000 patient-years (PY) for empagliflozin and 11.65 (95% CI 10.59-12.77) events per 1000 PY for SUs. On a background of metformin, patients newly initiating empagliflozin did not have an increased risk of acute pancreatitis compared with those initiating an SU (pooled PS matched hazard ratio 0.88 [0.76-1.02]) across 75621.42 PY of follow-up. CONCLUSIONS: The results of this voluntary post-approval safety study provide additional evidence that the use of empagliflozin for the treatment of T2D is not associated with an increased risk of acute pancreatitis.

Empagliflozin cardiovascular and renal effectiveness and safety compared to dipeptidyl peptidase-4 inhibitors across 11 countries in Europe and Asia: Results from the EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study.

BACKGROUND: Continued expansion of indications for sodium-glucose cotransporter-2 inhibitors increases importance of evaluating cardiovascular and kidney efficacy and safety of empagliflozin in patients with type 2 diabetes compared to similar therapies. METHODS: The EMPRISE Europe and Asia study is a non-interventional cohort study using data from 2014-2019 in seven European (Denmark, Finland, Germany, Norway, Spain, Sweden, United Kingdom) and four Asian (Israel, Japan, South Korea, Taiwan) countries. Patients with type 2 diabetes initiating empagliflozin were 1:1 propensity score matched to patients initiating dipeptidyl peptidase-4 inhibitors. Primary endpoints included hospitalization for heart failure, all-cause mortality, myocardial infarction and stroke. Other cardiovascular, renal, and safety outcomes were examined. FINDINGS: Among 83,946 matched patient pairs, (0·7 years overall mean follow-up time), initiation of empagliflozin was associated with lower risk of hospitalization for heart failure compared to dipeptidyl peptidase-4 inhibitors (Hazard Ratio 0·70; 95% CI 0.60 to 0.83). Risks of all-cause mortality (0·55; 0·48 to 0·63), stroke (0·82; 0·71 to 0·96), and end-stage renal disease (0·43; 0·30 to 0·63) were lower and risk for myocardial infarction, bone fracture, severe hypoglycemia, and lower-limb amputation were similar between initiators of empagliflozin and dipeptidyl peptidase-4 inhibitors. Initiation of empagliflozin was associated with higher risk for diabetic ketoacidosis (1·97; 1·28 to 3·03) compared to dipeptidyl peptidase-4 inhibitors. Results were consistent across continents and regions. INTERPRETATION: Results from this EMPRISE Europe and Asia study complements previous clinical trials and real-world studies by providing further evidence of the beneficial cardiorenal effects and overall safety of empagliflozin compared to dipeptidyl peptidase-4 inhibitors.

Preferential prescribing of linagliptin in type 2 diabetes patients in an expanded post-marketing surveillance study in Japan.

AIMS/INTRODUCTION: To evaluate linagliptin prescribing in type 2 diabetes mellitus patients with different comorbidities, an expanded Japanese post-marketing surveillance also collected baseline data for patients initiating other glucose-lowering drugs. MATERIALS AND METHODS: Patients initiating linagliptin monotherapy were enrolled, then the next patient starting monotherapy with another glucose-lowering drug was enrolled (2012-2014). Baseline data were collected and analyzed by the Medical Dictionary for Regulatory Activities system organ class. Analyses were descriptive, and meaningful differences defined as absolute standardized difference >10%. RESULTS: Over 4,200 type 2 diabetes mellitus patients were enrolled. Most system-organ class comorbidities were more common in patients initiating linagliptin versus other glucose-lowering drugs, with meaningful differences observed for metabolism/nutritional (50.5 vs 45.5%, respectively), cardiac (12.2 vs 8.6%, respectively), vascular (56.4 vs 51.3%, respectively) and renal/urinary disorders (9.9 vs 5.7%, respectively). CONCLUSIONS: Expanding the linagliptin Japanese post-marketing surveillance revealed linagliptin prescribing to a type 2 diabetes mellitus population with more comorbidities versus other glucose-lowering drugs. Although such preferential prescribing might be expected, as linagliptin requires no dose adjustment or monitoring in renally or hepatically impaired patients, this innovative post-marketing surveillance approach generated important evidence that could only be shown in such a non-randomized comparative study. These data generated insights important for the design and interpretation of observational studies and spontaneous reports, which are key for public health.

Development and validation of algorithms to identify newly diagnosed type 1 and type 2 diabetes in pediatric population using electronic medical records and claims data.

PURPOSE: To develop and validate algorithms to classify diabetes type in newly diagnosed pediatric patients with DM. METHOD: Data from the United States Department of Defense health system were used to identify patients aged 10 to 18 years with incident DM. Two independent sets of 200 children were randomly sampled for algorithm development and validation. Algorithms were developed based on clinical insight, published literature, and quantitative approaches. The actual DM type was ascertained via chart review. Finally, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were evaluated. RESULTS: Among the 400 patients, mean age was 14.2 (±2.5 years), and 50% were female. The best performing algorithms were based on data available in claims. They consisted of several logical expressions based on one predictor or more, which classified patients by use of glucose-lowering drugs or testing, DM ICD-9 diagnosis codes, and comorbidities. The best performing T2DM and T1DM algorithms achieved 90% and 98% sensitivity, 95% and 95% specificity, 87% and 98% PPV, and 96% and 96% NPV, respectively. CONCLUSIONS: Our results suggest that claims algorithms can accurately identify newly diagnosed T1DM and T2DM pediatric patients, which can facilitate large database studies in children with T1DM and T2DM. However, external validation in other data sources is needed.

Determinants of selective reporting: A taxonomy based on content analysis of a random selection of the literature.

BACKGROUND: Selective reporting is wasteful, leads to bias in the published record and harms the credibility of science. Studies on potential determinants of selective reporting currently lack a shared taxonomy and a causal framework. OBJECTIVE: To develop a taxonomy of determinants of selective reporting in science. DESIGN: Inductive qualitative content analysis of a random selection of the pertinent literature including empirical research and theoretical reflections. METHODS: Using search terms for bias and selection combined with terms for reporting and publication, we systematically searched the PubMed, Embase, PsycINFO and Web of Science databases up to January 8, 2015. Of the 918 articles identified, we screened a 25 percent random selection. From eligible articles, we extracted phrases that mentioned putative or possible determinants of selective reporting, which we used to create meaningful categories. We stopped when no new categories emerged in the most recently analyzed articles (saturation). RESULTS: Saturation was reached after analyzing 64 articles. We identified 497 putative determinants, of which 145 (29%) were supported by empirical findings. The determinants represented 12 categories (leaving 3% unspecified): focus on preferred findings (36%), poor or overly flexible research design (22%), high-risk area and its development (8%), dependence upon sponsors (8%), prejudice (7%), lack of resources including time (3%), doubts about reporting being worth the effort (3%), limitations in reporting and editorial practices (3%), academic publication system hurdles (3%), unfavorable geographical and regulatory environment (2%), relationship and collaboration issues (2%), and potential harm (0.4%). CONCLUSIONS: We designed a taxonomy of putative determinants of selective reporting consisting of 12 categories. The taxonomy may help develop theory about causes of selection bias and guide policies to prevent selective reporting.

Psychiatric medication use before and after the onset of type 1 diabetes in children and adolescents: A population-based cohort study.

BACKGROUND: Several studies showed a bidirectional association between type 2 diabetes and psychiatric disorders in adults. Because there is limited information on the association between type 1 diabetes (T1D) and psychiatric disorders (including psychiatric medication use) in children and adolescents, we assessed frequency of use of these medications before and after the onset of T1D. METHODS: A population-based cohort study was conducted in the Dutch PHARMO Record Linkage System (1999-2009). Children and adolescents (<19 years) with at least 2 insulin dispensings from community pharmacies (T1D cohort, N = 925) were matched by age and sex (reference cohort without insulin use, N = 3591). The 5-year prevalence of psychiatric medication use (psycholeptics [ATC N05] and psychoanaleptics [ATC N06]) before and after onset of T1D were estimated, compared, and stratified by age, sex, and medication subgroup. RESULTS: The mean age of study participants was 10.1 years and 51% were boys. The 5-year prevalence of psychiatric medication use before the index date was significantly higher in the T1D cohort than in the reference cohort (7.2% vs 4.7%, respectively; P = .002) with the same pattern after developing T1D (10.4% vs 7.9%, respectively; P = .015). In both cohorts, adolescents (15-19 years) and boys had higher prevalences of use. This increased prevalence of psychiatric medication use both before and after the index date in T1D cohort was mainly driven by an increased use of psycholeptics (predominantly anxiolytics). CONCLUSIONS: Children with T1D were more likely to use psychiatric medication in the years before and after the onset of T1D which was mainly driven by psycholeptic use.

Incidence and prevalence of diabetic ketoacidosis (DKA) among adults with type 1 diabetes mellitus (T1D): a systematic literature review.

OBJECTIVES: To summarise incidence and prevalence of diabetic ketoacidosis (DKA) in adults with type 1 diabetes (T1D) for the overall patient population and different subgroups (age, sex, geographical region, ethnicity and type of insulin administration). DESIGN: Systematic literature review (SLR). DATA SOURCES: Medline (via PubMed) and Embase (1 January 2000 to 23 June 2016). STUDY SELECTION: Peer-reviewed observational studies with reported data on the incidence or prevalence of DKA in T1D adults were included. A single reviewer completed the study screening and selection process and a second reviewer performed an additional screening of approximately 20% of the publications; two reviewers independently conducted the quality assessment; the results were narratively synthesised. RESULTS: Out of 1082 articles, 19 met the inclusion and exclusion criteria, with two additional studies identified that did not specify the patient age range and are therefore not included in the SLR. Overall, eight studies reported incidence with a range of 0-56 per 1000 person-years (PYs), with one outlying study reporting an incidence of 263 per 1000 PYs. Eleven studies reported prevalence with a range of 0-128 per 1000 people. Prevalence of DKA decreased with increasing age. Subgroup analyses were performed using data from no more than two studies per subgroup. There was a higher prevalence of DKA reported in women, non-whites and patients treated with insulin injections compared with men, whites and patients using continuous subcutaneous insulin infusion pumps, respectively. CONCLUSIONS: To our knowledge, this is the first SLR on the epidemiology of DKA in T1D adults. Despite an increasing prevalence of T1D in recent years, DKA in adults has been poorly characterised. In an era when the benefit-risk profiles of new antidiabetic therapies are being evaluated, including the potential risk of DKA, there is a clear need to better elucidate the expected rate of DKA among T1D adults.

Increasing trends in the incidence and prevalence rates of type 1 diabetes among children and adolescents in the Netherlands.

OBJECTIVE: To assess the trends in the incidence and prevalence rates of type 1 diabetes (T1D) among children and adolescents in the Netherlands. METHODS: A population-based cohort study was conducted in the Dutch PHARMO record linkage system (1998-2011). All children and adolescents aged ≤19 yr with at least one insulin dispensing (as a proxy for T1D) were identified and the numbers of incident and prevalent cases (numerators) were calculated. Overall age-adjusted (0-19 yr) incidence and prevalence rates together with age- and sex-specific rates of T1D and their 95% confidence intervals (CI) were calculated using data from the Dutch Central Bureau of Statistics as denominator. Trends over time were assessed using Joinpoint regression software (National Cancer Institute, Bethesda, MD, USA). RESULTS: In 2011, the overall age-adjusted incidence and prevalence rates of T1D were 25.2/100 000 (95% CI, 23.7-26.8) person-years (PY) and 174.4/100 000 (95% CI, 170.2-178.5) children, respectively. The average annual percentage change (AAPC) in the overall age-adjusted incidence and prevalence rate was 3.7% (95% CI, 1.8-5.7) and 3.8% (95% CI, 2.4-5.2), respectively. While during the study period the largest increases in the incidence and prevalence rates of T1D were observed for the oldest age groups (10-14 and 15-19 yr), a decreasing trend was detected for the 0- to 4-yr-old category (with AAPCs of -1.8 (95% CI, -9.9 to 7.1) and -6.9% (95% CI, -11.5 to -2.1) for incidence and prevalence, respectively). CONCLUSION: Age-adjusted incidence (1999-2011) and prevalence rates (1998-2011) of T1D in Dutch children (aged 0-19 yr) continued to increase and a shift was observed to a later onset of the disease.

Cardiovascular medication use and cardiovascular disease in children and adolescents with type 1 diabetes: a population-based cohort study.

OBJECTIVES: To investigate the 5-yr prevalence and incidence rates of cardiovascular medication and cardiovascular disease before and after onset of type 1 diabetes (T1D) in children and adolescents. METHODS: Children and adolescents (<19 yr) with T1D (n = 925), defined as those who received at least two insulin prescriptions, and a four times larger reference cohort (n = 3591) with the same age and gender in the Dutch PHARMO Record Linkage System (RLS) were studied in a retrospective cohort study between 1999 and 2009. The date of first insulin dispensing was selected as the index date. RESULTS: The overall prevalence rate of cardiovascular medication use was substantially higher in the T1D cohort before (2.2 vs. 1.0%, p < 0.001) and after (9.2 vs. 3.2%, p < 0.001) the index date. After the index date angiotensin-converting enzyme inhibitors (2.0%) and statins (1.5%) were the most prevalent cardiovascular medications in the T1D cohort. The highest incidence rate of cardiovascular medication use was observed in the first year after the index date [28.1 per 1000 person years (PY)]. Furthermore, three type 1 diabetic patients were hospitalized due to cardiomyopathy (n = 2) and heart failure (n = 1) and one child from the reference group was hospitalized due to cardiomyopathy in the 5 yr after the index date. CONCLUSIONS: Children with T1D were more likely to use cardiovascular medications in the years before and after the onset of diabetes. Our study emphasizes the importance of routine screening tests and timely treatment of CVD risk factors in the pediatric population with diabetes.

Chronic comorbidities in children with type 1 diabetes: a population-based cohort study.

OBJECTIVE: To determine the incidence of chronic comorbidities among children with type 1 diabetes (T1D) and to compare incidences with a group of children without diabetes. DESIGN: Population-based cohort study. SETTING: Dutch PHARMO database (1998-2010). PATIENTS: All patients (<19 years old) with T1D between 1999 and 2009 (T1D cohort) and a group of age- and sex-matched (ratio: 1-4) children without diabetes (reference cohort). MAIN OUTCOME MEASURE: The incidence of nine common chronic comorbidities was assessed on the basis that they were treated pharmacologically and/or resulted in hospital admission. Cox proportional hazard analysis was used to estimate the strength of the association between T1D and comorbidities, expressed as HRs and 95% CIs. RESULTS: A total of 915 patients with T1D and 3590 children in the reference cohort (51% boys, mean age of 10.1 (SD 4.5) years) were included. T1D was associated with an increased risk (HR; 95% CI) of hospitalisation for any comorbidity (3.7; 2.5 to 5.5), thyroid disease (14.2; 6.7 to 31.0), non-infectious enteritis and colitis (5.9; 3.0 to 11.5), cardiovascular disorders (3.1; 2.3 to 4.2), mental disorders (2.0; 1.4 to 3.1), epilepsy (2.0; 1.1 to 3.7) and (obstructive) pulmonary disease (1.5; 1.2 to 2.0). There was no significant difference in the incidences of other comorbidities (malignant disorders, anaemia and migraine) between the two cohorts. CONCLUSIONS: Our longitudinal study showed that incidences of six chronic diseases were significantly higher in T1D children during the early years of developing this disease compared with the reference children.

A Follow-up Study on BMI-SDS and Insulin Resistance in Overweight and Obese Children at Risk for Type 2 Diabetes Mellitus.

Objectives. To evaluate body mass index standard deviation score (BMI-SDS), insulin sensitivity, and progression to type 2 diabetes mellitus (T2DM) in children at risk for T2DM approximately 3 years after being diagnosed with overweight/obesity and insulin resistance (measured by Homeostasis Model Assessment of Insulin Resistance [HOMA-IR]). Methods. Out of 86 invited children, 44 (mean age 15.4 ± 3.6 years) participated. Medical history, physical examination, and laboratory workup were performed. Results. While the mean BMI-SDS significantly increased from 2.9 to 3.4, the mean HOMA-IR significantly decreased from 5.5 to 4.6 (baseline vs follow-up visit). Change in HOMA-IR was only due to a decrease in mean fasting plasma insulin (24.1 vs 21.1, P = .073). Conclusions. Although increase in BMI-SDS in these children is worrisome, the American Diabetes Association recommended screening interval of 3 years for children at risk for T2DM is not too long based on the fact that none of our study participants developed T2DM.

Population-based cohort study of anti-infective medication use before and after the onset of type 1 diabetes in children and adolescents.

A population-based cohort study was conducted in the Dutch PHARMO database to investigate prevalence and patterns of anti-infective medication use in children and adolescents with type 1 diabetes (T1D) before and after the onset of this disease. All patients <19 years with at least 2 insulin prescriptions (1999 to 2009) were identified (T1D cohort) and compared with an age- and sex-matched (ratio: 1 up to 4) diabetes-free reference group. The prevalence and average number of anti-infective use was studied from (up to) 8 years before until a maximum of 4 years after the onset of T1D. A total of 925 patients with T1D and 3,591 children and adolescents in the reference cohort (51% boys, mean age of 10.1 [standard deviation, 4.5] years) were included. The overall prevalence of anti-infective use (62.6 compared to 52.6%, P < 0.001) and average number of prescriptions (2.71 compared to 1.42 per child, P < 0.001) in the T1D cohort were significantly higher than those in the reference cohort after the onset of diabetes. This pattern was consistent across sex and age categories and already observed in the year before the onset of type 1 diabetes. Patients in the T1D cohort received more antibacterials (49.8 compared to 40%, P < 0.001), antimycotics (4.0 compared to 1.3%, P < 0.001), antivirals (2.5 compared to 0.4%, P < 0.001), and second-line antibiotics, such as aminoglycosides, quinolones, and third-generation cephalosporins and carbapenems. Our findings that elevated anti-infective use in the T1D cohort exists in the period before the onset of type 1 diabetes and the consumption of more second-line anti-infective compounds in this time period warrant further research.

Disease history and medication use as risk factors for the clinical manifestation of type 1 diabetes in children and young adults: an explorative case control study.

BACKGROUND: There is a highly variable asymptomatic period of beta cell destruction prior to the clinical presentation of type1 diabetes. It is not well known what triggers type 1 diabetes to become a clinically overt disease. This explorative study aimed to identify the association between disease history/medication use and the clinical manifestation of type 1 diabetes. METHODOLOGY/PRINCIPAL FINDINGS: An explorative case control study was conducted in the Dutch PHARMO Record Linkage System. Cases (n = 1,107) were younger than 25 years and had at least 2 insulin prescriptions between 1999 and 2009. For each case, up to 4 controls (without any prescription for the glucose lowering medications (n = 4,424)) were matched by age and sex. Conditional logistic regression analysis was used to evaluate the association between disease history/medication use in the year prior to the diagnosis of type 1 diabetes and clinical manifestation of this disease. Type1 diabetes was significantly associated with a history of mental disorder (odds ratio (OR) 8.0, 95% confidence interval (CI) 1.5-43.7), anemia (OR 5.1, 95% CI 1.1-22.9), and disease of digestive system (OR 2.6, 95% CI 1.2-5.5). The following drug exposures were significantly associated with the clinical manifestation of type 1 diabetes: "systemic hormonal preparations" (OR 1.7, 95% CI 1.1-2.6), medications for "blood and blood forming organs" (OR 1.6, 95% CI 1.1-2.6), "alimentary tract and metabolism" (OR 1.3, 95% CI 1.1-1.6), and "anti-infectives for systemic use" (OR 1.2, 95% CI 1.01-1.4). CONCLUSIONS: Our explorative study demonstrated that in the year prior to the presentation of type 1 diabetes in children and young adults, hospitalization for a diverse group of diseases and drug exposures were significantly more prevalent compared with age- and sex-matched diabetes-free controls.

How to screen obese children at risk for type 2 diabetes mellitus?

BACKGROUND: Recommended screening to identify children at risk for diabetes and its precursors impaired glucose tolerance (IGT) and insulin resistance (IR) is fasted plasma glucose (FPG). This study evaluates the added value of fasted plasma insulin (FPI). METHODS: This study analyzed routinely collected data of an oral glucose tolerance test (OGTT) of 311 obese children (age 10.8 ± 3.2 years). Diabetes and IGT were defined according to the American Diabetes Association criteria, IR as homeostasis model assessment (HOMA)-IR ≥3.4. RESULTS: Cases diagnosed with an OGTT if FPG ≥5.6 mmol/L, compared with an OGTT performed if FPG ≥5.6 mmol/L or HOMA-IR ≥3.4, were, respectively, 4 (80%) versus 5 (100%) with diabetes, 7 (28%) versus 16 (64%) with IGT, and 0 (0%) versus 93 (100%) with IR. CONCLUSIONS: Screening with FPG and FPI has equal burden compared with screening with FPG alone, identifies all patients with diabetes, and identifies more patients with precursors of diabetes.