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1.
BMC Cardiovasc Disord ; 22(1): 81, 2022 03 04.
Article in English | MEDLINE | ID: mdl-35246043

ABSTRACT

BACKGROUND: Mortality following acute myocardial infarction (AMI) has decreased in western countries for decades; however, it remains unknown whether the decrease is distributed equally across the population independently of residential location. This study investigated whether the observed decreasing 28-day mortality following an incident AMI in Denmark from 1987 to 2016 varied geographically at municipality level after accounting for sociodemographic characteristics. METHODS: A register-based cohort study design was used to investigate 28-day mortality among individuals with an incident AMI. Global spatial autocorrelation (within sub-periods) was analysed at municipality level using Moran's I. Analysis of spatio-temporal autocorrelation before and after adjusting for sociodemographic characteristics was performed using logistic regression and conditional autoregressive models with inference in a Bayesian setting. RESULTS: In total, 368,839 individuals with incident AMI were registered between 1987 and 2016 in Denmark; 128,957 incident AMIs were fatal. The 28-day mortality decreased over time at national level with an odds ratio of 0.788 (95% credible interval (0.784, 0.792)) per 5-year period after adjusting for sociodemographic characteristics. The decrease in the 28-day mortality was geographically unequally distributed across the country and in a geographical region in northern Jutland, the 28-day mortality decreased significantly slower (4-12%) than at national level. CONCLUSIONS: During the period from 1987 to 2016, the 28-day mortality following an incident AMI decreased substantially in Denmark. However, in a local geographical region, the 28-day mortality decreased significantly slower than in the rest of the country both before and after adjusting for sociodemographic differences. Efforts should be made to keep geographical trend inequalities in the 28-day mortality to a minimum.


Subject(s)
Myocardial Infarction , Bayes Theorem , Cohort Studies , Denmark/epidemiology , Humans , Incidence
2.
United European Gastroenterol J ; 9(1): 82-90, 2021 02.
Article in English | MEDLINE | ID: mdl-33176616

ABSTRACT

BACKGROUND: Updated population-based estimates on incidence and prevalence of chronic pancreatitis are scarce. METHODS: We used nationwide healthcare registries to identify all Danish patients diagnosed with chronic pancreatitis and computed crude and standardised incidence rates and prevalence estimates in 1994-2018. Incidence and prevalence were evaluated in relation to patients age and gender, aetiology (alcoholic vs. non-alcoholic) and smoking and alcohol consumption in the general Danish population. RESULTS: The mean incidence rate of chronic pancreatitis during the study period was 12.6 per 100,000 person years for the total population, for women it was 8.6 per 100,000 person years and for men it was 16.7 per 100,000 person years. The standardised incidence rate was stable from 1994 to 2018, remaining at 12.5 per 100,000 person years in the last observation period (2014-2018). The point prevalence of chronic pancreatitis in 2016 was 153.9 per 100,000 persons. A gradual increase in standardised prevalence estimates was observed during the study period from 126.6 in 1996 to 153.9 in 2016. The mean age at chronic pancreatitis diagnosis increased from 52.1 to 60.0 years during the study period. CONCLUSION: The prevalence of chronic pancreatitis is increasing in the Danish population despite a stable incidence level. Improved management strategies and changes in the underlying patient population may explain these observations.


Subject(s)
Pancreatitis, Chronic/epidemiology , Adolescent , Adult , Age Distribution , Age of Onset , Aged , Aged, 80 and over , Alcohol Drinking/epidemiology , Child , Child, Preschool , Denmark/epidemiology , Female , Humans , Incidence , Infant , Infant, Newborn , Male , Middle Aged , Pancreatitis, Chronic/etiology , Population Surveillance , Prevalence , Registries , Sex Distribution , Smoking/epidemiology , Time Factors , Young Adult
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