Chronic Diseases in High-Cost Users of Hospital, Primary Care, and Prescription Medication in the Capital Region of Denmark.

BACKGROUND: A small proportion of patients account for the majority of health care costs. This group is often referred to as high-cost users (HCU). A frequently described characteristic of HCU is chronic disease. Yet, there is a gap in understanding the economic burden of chronic diseases associated with HCU to different types of health care services. OBJECTIVE: To analyze which frequent chronic diseases have the strongest association with HCU overall, and HCU in hospital, primary care, and prescription medication. DESIGN: This is a register-based observational study on Danish health service costs for various diseases in different medical settings. PARTICIPANTS: A total of 1,350,677 individuals aged ≥ 18 years living in the Capital Region of Denmark by 1 January 2012 were included. MAIN MEASURES: Chronic diseases, costs, and sociodemographic data were extracted from the nationwide registers, including data from hospitals, primary care, and medicine consumption. These information were merged on an individual level. KEY RESULTS: Cancer, mental disorders except depression, and heart diseases have the strongest association with HCU overall. Mental disorders except depression were in the three diseases most prevalent in HCU in all the three health care services. CONCLUSIONS: Our results show that the chronic diseases that have the strongest association with HCU differ between different types of health care services. Our findings may be helpful in informing future policies about health care organization and may guide to different prevention, treatment, and rehabilitation strategies that could lessen the burden in the hospital.

Use of N-nitrosodimethylamine (NDMA) contaminated valsartan products and risk of cancer: Danish nationwide cohort study.

OBJECTIVE: To perform an expedited assessment of cancer risk associated with exposure to N-nitrosodimethylamine (NDMA) through contaminated valsartan products. DESIGN: Nationwide cohort study. SETTING: Danish health registries on individual level prescription drug use, cancer occurrence, and hospital diagnoses. PARTICIPANTS: 5150 Danish patients with no history of cancer, aged 40 years or older, and using valsartan at 1 January 2012 or initiating use between 1 January 2012 and 30 June 2017. Participants were followed from one year after cohort entry (lag time period) until experiencing a cancer outcome, death, migration, or end of study period (30 June 2018). Each participant's exposure to NDMA (ever exposure and predefined categories of cumulative valsartan exposure) was mapped out as a time varying variable while also applying a one year lag. MAIN OUTCOME MEASURES: Association between NDMA exposure and a primary composite endpoint comprising all cancers except non-melanoma skin cancer, estimated using Cox regression. In supplementary analyses, the risk of individual cancers was determined. RESULTS: The final cohort comprised 5150 people followed for a median of 4.6 years. In total, 3625 cohort participants contributed 7344 person years classified as unexposed to NDMA, and 3450 participants contributed 11 920 person years classified as ever exposed to NDMA. With 104 cancer outcomes among NDMA unexposed participants and 198 among exposed participants, the adjusted hazard ratio for overall cancer was 1.09 (95% confidence interval 0.85 to 1.41), with no evidence of a dose-response relation (P=0.70). For single cancer outcomes, increases in risk were observed for colorectal cancer (hazard ratio 1.46, 95% confidence interval 0.79 to 2.73) and for uterine cancer (1.81, 0.55 to 5.90), although with wide confidence intervals that included the null. CONCLUSIONS: The results do not imply a markedly increased short term overall risk of cancer in users of valsartan contaminated with NDMA. However, uncertainty persists about single cancer outcomes, and studies with longer follow-up are needed to assess long term cancer risk.

Cohort Profile: The Danish Testicular Cancer Late Treatment Effects Cohort (DaTeCa-LATE).

The cohort was set up in order to analyze late effects in long-term testicular cancer survivors (TCS) and to contribute to the design of future follow-up programs addressing and potentially preventing late effects. Data for this cross-sectional study were collected between January 1, 2014, and December 31, 2016, among living Danish TCS and 60% agreed to participate in the cohort (N = 2,572). Mean time since testicular cancer (TC) diagnosis was 18 years (range 7-33) and mean age of participants was 53 years (range 25-95). Data consist of results of a questionnaire with patient reported outcomes which covers a broad range of items on late-effects. The study also included data obtained through linkages to Danish registries, a biobank, and clinical data from hospital files and pathology reports originating from the Danish Testicular Cancer Database (DaTeCa). The treatment during the observation period has been nearly the same for all stages of TC and is in agreement with today's standard treatment, this allows for interesting analysis with a wide timespan. We have extensive data on non-responders and are able to validate our study findings. Data from a Danish reference population (N = 162,283) allow us to compare our findings with a Danish background population. The cohort can easily be extended to access more outcomes, or include new TCS. A limitation of the present study is the cross-sectional design and despite the large sample size, The Danish Testicular Cancer Late Treatment Effects Cohort (DaTeCa-LATE) lacks statistical power to study very rare late effects. Since it was voluntary to participate in the study we have some selection bias, for instance, we lack responders who were not in a paired relationship, but we would still argue that this cohort of TCSs is representative for TCSs in Denmark. COLLABORATION AND DATA ACCESS: Researches interested in collaboration with the DaTeCa-LATE study group please contact Professor Gedske Daugaard kirsten.gedske.daugaard@regionh.dk.

Glucose-Dependent Insulinotropic Polypeptide Is Associated With Lower Low-Density Lipoprotein But Unhealthy Fat Distribution, Independent of Insulin: The ADDITION-PRO Study.

CONTEXT: Glucose-dependent insulinotropic polypeptide (GIP) may increase lipid clearance by stimulating lipid uptake. However, given that GIP promotes release of insulin by the pancreas and insulin is anti-lipolytic, the effect may be indirect. OBJECTIVE: In this study we examined the association between GIP and lipid metabolism in individuals with low to high risk of type 2 diabetes and assessed whether the associations were modified by or mediated through insulin. DESIGN, SETTING, AND PARTICIPANTS: Analyses were based on the Danish cross-sectional ADDITION-PRO study (n = 1405). Lipid metabolism was measured by fasting plasma lipids and obesity including abdominal fat distribution assessed by ultrasonography. GIP and insulin were measured during an oral glucose tolerance test (0, 30 and 120 min). Linear regression analysis was used to study the associations between GIP, plasma lipids, and obesity measures. RESULTS: A doubling in fasting GIP levels was associated with lower low-density lipoprotein in both men (mean [95% CI] -0.10 mmol/l [-0.18--0.03]) and women (-0.14 mmol/l [-0.23--0.04]) and with higher high-density lipoprotein in women (0.06 mmol/l [-0.02-0.10]). In men, a doubling in stimulated GIP was associated with 0.13 cm less 0.01-0.25 sc fat but with more visceral abdominal fat (0.45 cm [0.12-0.78]) and higher waist-hip ratio (0.011 [0.004-0.019]). CONCLUSIONS: Contrary to what was previously thought, GIP may be associated with improved low-density lipoprotein clearance but with an unhealthy fat distribution independent of insulin. The effect of GIP on obesity measures was substantially different between men and women. The potential effect of GIP on visceral and sc adipose tissue physiology warrants further examination.