Joint mapping of cardiovascular diseases:comparing the geographic patterns in incident acute myocardial infarction, stroke and atrial fibrillation, a Danish register-based cohort study 2014–15

BACKGROUND: Disease mapping aims at identifying geographic patterns in disease. This may provide a better understanding of disease aetiology and risk factors as well as enable targeted prevention and allocation of resources. Joint mapping of multiple diseases may lead to improved insights since e.g. similarities and differences between geographic patterns may reflect shared and disease-specific determinants of disease. The objective of this study was to compare the geographic patterns in incident acute myocardial infarction (AMI), stroke and atrial fibrillation (AF) using the unique, population-based Danish register data. METHODS: Incident AMI, stroke and AF was modelled by a multivariate Poisson model including a disease-specific random effect of municipality modelled by a multivariate conditionally autoregressive (MCAR) structure. Analyses were adjusted for age, sex and income. RESULTS: The study included 3.5 million adults contributing 6.8 million person-years. In total, 18,349 incident cases of AMI, 28,006 incident cases of stroke, and 39,040 incident cases of AF occurred. Estimated municipality-specific standardized incidence rates ranged from 0.76 to 1.35 for AMI, from 0.79 to 1.38 for stroke, and from 0.85 to 1.24 for AF. In all diseases, geographic variation with clusters of high or low risk of disease after adjustment was seen. The geographic patterns displayed overall similarities between the diseases, with stroke and AF having the strongest resemblances. The most notable difference was observed in Copenhagen (high risk of stroke and AF, low risk of AMI). AF showed the least geographic variation. CONCLUSION: Using multiple-disease mapping, this study adds to the results of previous studies by enabling joint evaluation and comparison of the geographic patterns in AMI, stroke and AF. The simultaneous mapping of diseases displayed similarities and differences in occurrence that are non-assessable in traditional single-disease mapping studies. In addition to reflecting the fact that AF is a strong risk factor for stroke, the results suggested that AMI, stroke and AF share some, but not all environmental risk factors after accounting for age, sex and income (indicator of lifestyle and health behaviour). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12942-021-00294-w

Diabetes is an independent predictor of survival 17 years after myocardial infarction: follow-up of the TRACE registry

<p>Abstract</p> <p>Background</p> <p>In patients hospitalized for myocardial infarction, there are limited data examining the long-term prognostic effect of diabetes.</p> <p>The aim of this study was to systematically evaluate the development of diabetes as an independent long-term prognostic factor after myocardial infarction.</p> <p>Methods</p> <p>Prospective follow-up of 6676 consecutive MI patients screened for entry in the Trandolapril Cardiac Evaluation (TRACE) study. The patients were analysed by Kaplan-Meier survival analysis, landmark analysis and Cox proportional hazard models and outcome measure was all-cause mortality.</p> <p>Results</p> <p>The mortality in patients with diabetes was 82,7% at 10 years of follow-up and 91,1% at 15 years of follow-up, while patients without diabetes had a mortality of 60,2% at 10 years of follow-up and 72,9% at 15 years of follow-up (p < 0.0001). Landmark analysis continued to show prognostic significance of diabetes throughout the duration of follow-up. Multivariable Cox proportional-hazards model showed that the hazard ratio for death in patients with diabetes overall was 1.47 (95% confidence intervals (CI) 1.35-1.61) and varied between 1.19 (CI 1.04-1.37) and 2.13 (CI 1.33-3.42) in the 2-year periods of follow-up.</p> <p>Conclusions</p> <p>Diabetes is an important independent long-term prognostic factor after MI and continues to predict mortality even 17 years after index MI.</p> <p>This underscores the importance of aggressive diagnostic and therapeutic approach in diabetes patients with MI.</p

Incidence and Prevalence of Psoriasis in Denmark

The incidence and temporal trends of psoriasis in Denmark between 2003 and 2012 were examined. There was a female predominance ranging between 50.0% (2007) and 55.4% (2009), and the mean age at time of diagnosis was 47.7–58.7 years. A total of 126,055 patients with psoriasis (prevalence 2.2%) were identified. Incidence rates of psoriasis (per 100,000 person years) ranged from 107.5 in 2005 to a peak incidence of 199.5 in 2010. Incidence rates were higher for women, and patients aged 60–69 years, respectively. Use of systemic non-biologic agents, i.e. methotrexate, cyclosporine, retinoids, or psoralen plus ultraviolet A (PUVA) increased over the study course, and were used in 15.0% of all patients. Biologic agents (efalizumab, etanercept, infliximab, adalimumab, or ustekinumab) were utilized in 2.7% of patients. On a national level, incidence of psoriasis fluctuated during the 10-year study course. The relationship between psoriasis incidence and age appeared to be relatively linear, and disease prevalence was comparable to that in other European countries