In-hospital myocardial infarction following acute ischaemic stroke: an observational study. 2009

J Liao, and M J O'Donnell, and F L Silver, and D Thiruchelvam, and G Saposnik, and J Fang, and L Gould, and N Mohamed, and M K Kapral, and
McMaster University, Hamilton, ON, Canada.

OBJECTIVE Acute myocardial infarction is expected to be an important medical complication following ischaemic stroke. We sought to describe the frequency and clinical impact of in-hospital myocardial infarction following acute ischaemic stroke. METHODS Consecutive patients with acute ischaemic stroke were identified from the Registry of the Canadian Stroke Network (2003-2006). Stroke severity was measured using the Canadian Neurological Scale (CNS). Functional status at discharge was measured with the modified-Rankin Scale, and categorized into strokes with no or mild-moderate dependency (m-Rankin 0-3) and those with severe dependence or death (m-Rankin 4-6). Multivariable logistic regression was used to determine the association between myocardial infarction and clinical outcome (death or severe dependence at hospital discharge and 1 year mortality), independent of co-morbidities and in-hospital medical complications. RESULTS In total, 9180 patients with acute ischaemic stroke were included. The mean age was 72 years (SD 13.9) and 48% were female. Overall, 211 (2.3%) patients were reported to have myocardial infarction during hospitalization. At hospital discharge, 64.9% of patients with in-hospital myocardial infarction had died or were severely disabled, compared with 35.8% in the entire cohort. Mortality at 1 year after ischaemic stroke was 56.4% in patients with myocardial infarction and 21.9% in the entire cohort. On multivariable analyses, myocardial infarction was also associated with death or severe dependence at discharge (OR 2.51; 95%CI 1.75-3.59) and mortality within 1 year (HR 1.83; 95%CI 1.51-2.23). Previous history of myocardial infarction (OR 1.50; 95%CI 1.05-2.15), diabetes mellitus (OR 1.55; 95%CI 1.42-2.10), stroke severity (OR 1.13; 95% CI 1.09-1.17) and peripheral vascular disease (OR 1.61; 95%CI 1.04-2.49) were independently associated with myocardial infarction during hospitalization. CONCLUSIONS Myocardial infarction is an important medical complication after acute ischaemic stroke.

UI MeSH Term Description Entries
D008297 Male Males
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
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D012042 Registries The systems and processes involved in the establishment, support, management, and operation of registers, e.g., disease registers. Parish Registers,Population Register,Parish Register,Population Registers,Register, Parish,Register, Population,Registers, Parish,Registers, Population,Registry
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
D005260 Female Females
D005500 Follow-Up Studies Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease. Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006761 Hospitals Institutions with an organized medical staff which provide medical care to patients. Hospital
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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