Trends in incidence and case fatality rates of acute myocardial infarction in Denmark and Sweden. 2003

S Z Abildstrom, and S Rasmussen, and M Rosén, and M Madsen
National Institute of Public Health, Copenhagen, Denmark. sza@niph.dk

OBJECTIVE To compare the incidence and case fatality of acute myocardial infarction in Denmark and Sweden. METHODS A cohort study, linking the national registries of hospital admissions and causes of death in the two countries. METHODS All admissions and deaths with acute myocardial infarction as primary or secondary diagnosis were extracted (Denmark, 1978 to 1998; Sweden, 1987 to 1999). METHODS The incidence was estimated using the first acute myocardial infarct for each patient. Case fatality was estimated in the first 28 days after acute myocardial infarction, including prehospital deaths. All rates were adjusted for age. RESULTS The incidence of myocardial infarction and the case fatality declined significantly among all subgroups of patients. Case fatality was higher in Denmark early in the study period (1987-1990) than in Sweden. The odds ratios (OR) ranged from 1.28 to 1.50 in the four age groups. In 1994-1999, the prognosis of patients younger than 75 years did not differ. Patients aged 75-94 years still fared worse in Denmark (OR 1.21, 95% confidence interval 1.17 to 1.27). Women aged 30-54 years had a worse prognosis than men in both Denmark and Sweden (OR associated with male sex 0.85 and 0.90, respectively). In contrast, for patients older than 65 years, women had a better prognosis than men. This difference in the effect of sex with age was significant (p < 0.0001) and did not change over time. CONCLUSIONS Case fatality after acute myocardial infarction was notably higher in Denmark than in Sweden in 1987-1991, but in the later periods the prognosis was comparable in the two countries.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009026 Mortality All deaths reported in a given population. CFR Case Fatality Rate,Crude Death Rate,Crude Mortality Rate,Death Rate,Age Specific Death Rate,Age-Specific Death Rate,Case Fatality Rate,Decline, Mortality,Determinants, Mortality,Differential Mortality,Excess Mortality,Mortality Decline,Mortality Determinants,Mortality Rate,Mortality, Differential,Mortality, Excess,Age-Specific Death Rates,Case Fatality Rates,Crude Death Rates,Crude Mortality Rates,Death Rate, Age-Specific,Death Rate, Crude,Death Rates,Determinant, Mortality,Differential Mortalities,Excess Mortalities,Mortalities,Mortality Declines,Mortality Determinant,Mortality Rate, Crude,Mortality Rates,Rate, Age-Specific Death,Rate, Case Fatality,Rate, Crude Death,Rate, Crude Mortality,Rate, Death,Rate, Mortality,Rates, Case Fatality
D009203 Myocardial Infarction NECROSIS of the MYOCARDIUM caused by an obstruction of the blood supply to the heart (CORONARY CIRCULATION). Cardiovascular Stroke,Heart Attack,Myocardial Infarct,Cardiovascular Strokes,Heart Attacks,Infarct, Myocardial,Infarction, Myocardial,Infarctions, Myocardial,Infarcts, Myocardial,Myocardial Infarctions,Myocardial Infarcts,Stroke, Cardiovascular,Strokes, Cardiovascular
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002423 Cause of Death Factors which produce cessation of all vital bodily functions. They can be analyzed from an epidemiologic viewpoint. Causes of Death,Death Cause,Death Causes
D003718 Denmark A country in northern Europe, bordering the Baltic Sea and the North Sea. The capital is Copenhagen. Faeroe Islands,Faroe Islands
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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