Decreasing incidence of pharmacologically treated Type 2 diabetes in Hungary from 2001 to 2016: A nationwide cohort study

The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging

The Semmelweis Study is a prospective occupational cohort study that seeks to enroll all employees of Semmelweis University (Budapest, Hungary) aged 25 years and older, with a population of 8866 people, 70.5% of whom are women. The study builds on the successful experiences of the Whitehall II study and aims to investigate the complex relationships between lifestyle, environmental, and occupational risk factors, and the development and progression of chronic age-associated diseases. An important goal of the Semmelweis Study is to identify groups of people who are aging unsuccessfully and therefore have an increased risk of developing age-associated diseases. To achieve this, the study takes a multidisciplinary approach, collecting economic, social, psychological, cognitive, health, and biological data. The Semmelweis Study comprises a baseline data collection with open healthcare data linkage, followed by repeated data collection waves every 5 years. Data are collected through computer-assisted self-completed questionnaires, followed by a physical health examination, physiological measurements, and the assessment of biomarkers. This article provides a comprehensive overview of the Semmelweis Study, including its origin, context, objectives, design, relevance, and expected contributions.

Inequalities in Diabetes Mortality Between Microregions in Hungary

Objectives: Regional differences in diabetes mortality are high in Hungary. In our cross-sectional study, we aim to reveal the drivers of the inequalities in diabetes mortality across the 197 microregions of Hungary. To account for the influence of changes in healthcare and social conditions, we compared two periods (2009-12 and 2013-16). Methods: Traditional and re-conceptualized deprivation- and healthcare provison measures were used in OLS regression models. Results: Microregions with a high proportion of population living in "service deserts," especially in regard to the lack of grocery stores, suffer the highest rates of diabetes mortality. Alcohol-related mortality has been proven to be a similarly and surprisingly strong predictor of diabetes mortality. Conclusion: Food provision should be supported in areas characterized by low service density, and alcohol policy should be strengthened and targeted.

Deficiencies in the Recognition and Reporting of Chronic Kidney Disease in Patients With Type 2 Diabetes Mellitus; A Hungarian Nationwide Analysis

Objectives: Recognition of chronic kidney disease (CKD) is crucial in type 2 diabetes mellitus (T2DM). We conducted a nationwide epidemiological study to evaluate T2DM-associated CKD in Hungary between 2016 and 2020. Methods: Annual incidence and prevalence rates of registered CKD amongst all pharmacologically treated T2DM patients were analyzed in different age-groups by the central database of the Hungarian Health Insurance Fund Management. Statistical methods included Poisson regression, Bonferroni test, Chi-square test. Results: We found 499,029 T2DM patients and 48,902 CKD patients in 2016, and 586,075 T2DM patients and 38,347 CKD patients in 2020. The majority of all prevalent T2DM and CKD patients were older (aged 60-69 years: 34.1% and 25.8%; ≥70 years: 36.1% and 64.4%, respectively). The annual incidence of T2DM and incidence rates of CKD in T2DM decreased in 2017-2020 (p < 0.001). The annual prevalence of T2DM increased (p < 0.01), the prevalence rates of CKD in T2DM were low and decreased from 9.8% to 6.5% in 2016-2020 (p < 0.001). Conclusion: Incidence and prevalence of T2DM-associated CKD decreased significantly in Hungary in 2016-2020. Lower prevalence rates of CKD may suggest under-recognition and/or under-reporting.

Changing Patterns of Antihyperglycaemic Treatment among Patients with Type 2 Diabetes in Hungary between 2015 and 2020-Nationwide Data from a Register-Based Analysis

Background and objectives: In the last couple of years, pharmacological management of patients with type 2 diabetes mellitus (T2DM) have been markedly renewed. The aim of this study was to analyse the changes in prescribing patterns of antidiabetic drugs for treating patients with T2DM in Hungary between 2015 and 2020. Material and Methods: In this retrospective, nationwide analysis, we used the central database of the National Health Insurance Fund. We present annual numbers and their proportion of T2DM patients with different treatment regimens. Results: In the period of 2015−2020, the number of incident cases decreased from 60,049 to 29,865, while prevalent cases increased from 682,274 to 752,367. Patients with metformin (MET) monotherapy had the highest prevalence (31% in 2020). Prevalence of insulin (INS) monotherapy continuously but slightly decreased from 29% to 27% while that of sulfonylurea (SU) monotherapy markedly decreased from 37% to 20%. Dipeptidyl peptidase (DPP-4) inhibitors remained popular in 2020 as monotherapy (5%), in dual combination with MET (12%) and in triple combination with MET and SU (5%). The prevalence of patients with sodium-glucose co-transporter-2 (SGLT-2) inhibitors increased from 1% to 4% in monotherapy, from <1% to 6% in dual combination with MET, and from <1% to 2% in triple oral combination with MET and SU or DPP-4-inhibitors. The prevalence of patients using glucagon-like peptide-1 receptor agonists (GLP-1-RAs) also increased but remained around 1−2% both in monotherapy and combinations. For initiating antihyperglycaemic treatment, MET monotherapy was the most frequently used regime in 2020 (50%), followed by monotherapy with SUs (16%) or INS (10%). After initial MET monotherapy, the incidence rates of patients with add-on GLP-1-RAs (2%, 3%, and 4%) and those of add-on SGLT-2 inhibitors (4%, 6%, and 8%) slowly increased in the subsequent 24, 48, and 72 months, respectively. Conclusions: In the period of 2015−2020, we documented important changes in trends of antihyperglycaemic therapeutic patterns in patients with T2DM which followed the new scientific recommendations but remained below our expectations regarding timing and magnitude. More efforts are warranted to implement new agents with cardiovascular/renal benefits into therapeutic management in time, in a much larger proportion of T2DM population, and without delay.

Clinical Aspects of Genetic and Non-Genetic Cardiovascular Risk Factors in Familial Hypercholesterolemia

Familial hypercholesterolemia (FH) is the most common monogenic metabolic disorder characterized by considerably elevated low-density lipoprotein cholesterol (LDL-C) levels leading to enhanced atherogenesis, early cardiovascular disease (CVD), and premature death. However, the wide phenotypic heterogeneity in FH makes the cardiovascular risk prediction challenging in clinical practice to determine optimal therapeutic strategy. Beyond the lifetime LDL-C vascular accumulation, other genetic and non-genetic risk factors might exacerbate CVD development. Besides the most frequent variants of three genes (LDL-R, APOB, and PCSK9) in some proband variants of other genes implicated in lipid metabolism and atherogenesis are responsible for FH phenotype. Furthermore, non-genetic factors, including traditional cardiovascular risk factors, metabolic and endocrine disorders might also worsen risk profile. Although some were extensively studied previously, others, such as common endocrine disorders including thyroid disorders or polycystic ovary syndrome are not widely evaluated in FH. In this review, we summarize the most important genetic and non-genetic factors that might affect the risk prediction and therapeutic strategy in FH through the eyes of clinicians focusing on disorders that might not be in the center of FH research. The review highlights the complexity of FH care and the need of an interdisciplinary attitude to find the best therapeutic approach in FH patients.

Changes in mortality rates and ratios in people with pharmacologically treated type 2 diabetes mellitus between 2001 and 2016 in Hungary

AIMS

Type 2 diabetes mellitus (T2DM) is associated with a higher risk of all-cause mortality; however, detailed analyses of subgroups are rare. In this study we analyzed the changes of age- and gender-specific all-cause mortality rates and ratios in T2DM subjects (aged > 40 years) in Hungary between 2001 and 2016.

METHODS

We used the central database of the National Institute of Health Insurance Fund. All-cause mortality rates in patients with T2DM and ratios (T2DM/non-T2DM) were determined in males/females and in different age-groups. Age-adjusted values were used for standardized mortality rates.

RESULTS

Among pharmacologically treated T2DM subjects we found 117,700 and 329,845 males, 232,143 and 391,382 females in 2001 and 2016, respectively. Standardized all-cause mortality rate was higher in males than in females in 2001 (4540/100,000 vs. 3365/100,000) which decreased to 4125/100,000 in males (total change: -11.8%, p < 0.0001) and to 2977/100,000 in females (total change: -9.2%; p = 0.0558) in 2016. We found a significant increase (8.35%; p = 0.0272) in standardized all-cause mortality ratios between 2001 and 2016 which was higher in males (11.44%; p = 0.0096) than in females (2.78%; p = 0.3288). We observed the most pronounced increase in younger age-groups (age 41-60 years) in both genders (change varied from 54.2% to 101.8%; p < 0.05) which was due to distinct tendencies in changes of mortality curves.

CONCLUSIONS

Pharmacologically treated T2DM subjects in lower age-groups (41-60 years) had the highest increase in all-cause mortality ratios between 2001 and 2016 in Hungary. These data indicate that relatively younger patients with T2DM need special attention for improving long-term outcomes.