Risk of mortality in a cohort of patients newly diagnosed with chronic atrial fibrillation. Ruigómez, A., Johansson, S., Wallander, M., & García Rodríguez, L. A. BMC cardiovascular disorders, 2:5, 2002. abstract bibtex OBJECTIVE: To estimate the mortality rate of patients newly diagnosed with chronic atrial fibrillation (AF) and compare it with the one in the general population. To evaluate the role of co-morbidity and other factors on the risk of dying among AF patients. METHODS: We used the General Practice Research Database in the UK to perform a retrospective cohort study. We followed a cohort of chronic AF patients (N = 1,035) and an age and sex matched cohort of 5,000 subjects sampled from the general population. We used all deceased AF patients as cases (n = 234) and the remaining AF patients as controls to perform a nested case-control analysis. We estimated mortality risk associated with AF using Cox regression. We computed mortality relative risks using logistic regression among AF patients. RESULTS: During a mean follow-up of two years, 393 patients died in the general population cohort and 234 in the AF cohort. Adjusted relative risk of death in the cohort of AF was 2.5 (95%CI 2.1 - 3.0) compared to the general population. Among AF patients, mortality risk increased remarkably with advancing age. Smokers carried a relative risk of dying close to threefold. Ischaemic heart disease was the strongest clinical predictor of mortality with a RR of 3.0 (95% CI; 2.1-4.1). Current use of calcium channel blockers, warfarin and aspirin was associated with a decreased risk of mortality. CONCLUSIONS: Chronic AF is an important determinant of increased mortality. Major risk factors for mortality in the AF cohort were age, smoking and cardiovascular co-morbidity, in particular ischaemic heart disease.
@article{ruigomez_risk_2002,
title = {Risk of mortality in a cohort of patients newly diagnosed with chronic atrial fibrillation},
volume = {2},
issn = {1471-2261},
abstract = {OBJECTIVE: To estimate the mortality rate of patients newly diagnosed with chronic atrial fibrillation (AF) and compare it with the one in the general population. To evaluate the role of co-morbidity and other factors on the risk of dying among AF patients.
METHODS: We used the General Practice Research Database in the UK to perform a retrospective cohort study. We followed a cohort of chronic AF patients (N = 1,035) and an age and sex matched cohort of 5,000 subjects sampled from the general population. We used all deceased AF patients as cases (n = 234) and the remaining AF patients as controls to perform a nested case-control analysis. We estimated mortality risk associated with AF using Cox regression. We computed mortality relative risks using logistic regression among AF patients.
RESULTS: During a mean follow-up of two years, 393 patients died in the general population cohort and 234 in the AF cohort. Adjusted relative risk of death in the cohort of AF was 2.5 (95\%CI 2.1 - 3.0) compared to the general population. Among AF patients, mortality risk increased remarkably with advancing age. Smokers carried a relative risk of dying close to threefold. Ischaemic heart disease was the strongest clinical predictor of mortality with a RR of 3.0 (95\% CI; 2.1-4.1). Current use of calcium channel blockers, warfarin and aspirin was associated with a decreased risk of mortality.
CONCLUSIONS: Chronic AF is an important determinant of increased mortality. Major risk factors for mortality in the AF cohort were age, smoking and cardiovascular co-morbidity, in particular ischaemic heart disease.},
language = {eng},
journal = {BMC cardiovascular disorders},
author = {Ruigómez, Ana and Johansson, Saga and Wallander, Mari-Ann and García Rodríguez, Luis Alberto},
year = {2002},
pmid = {11897013},
pmcid = {PMC99044},
keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Atrial Fibrillation, Chronic Disease, Cohort Studies, Follow-Up Studies, Humans, Logistic Models, Middle Aged, Risk Factors},
pages = {5}
}
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METHODS: We used the General Practice Research Database in the UK to perform a retrospective cohort study. We followed a cohort of chronic AF patients (N = 1,035) and an age and sex matched cohort of 5,000 subjects sampled from the general population. We used all deceased AF patients as cases (n = 234) and the remaining AF patients as controls to perform a nested case-control analysis. We estimated mortality risk associated with AF using Cox regression. We computed mortality relative risks using logistic regression among AF patients. RESULTS: During a mean follow-up of two years, 393 patients died in the general population cohort and 234 in the AF cohort. Adjusted relative risk of death in the cohort of AF was 2.5 (95%CI 2.1 - 3.0) compared to the general population. Among AF patients, mortality risk increased remarkably with advancing age. Smokers carried a relative risk of dying close to threefold. Ischaemic heart disease was the strongest clinical predictor of mortality with a RR of 3.0 (95% CI; 2.1-4.1). Current use of calcium channel blockers, warfarin and aspirin was associated with a decreased risk of mortality. CONCLUSIONS: Chronic AF is an important determinant of increased mortality. Major risk factors for mortality in the AF cohort were age, smoking and cardiovascular co-morbidity, in particular ischaemic heart disease.","language":"eng","journal":"BMC cardiovascular disorders","author":[{"propositions":[],"lastnames":["Ruigómez"],"firstnames":["Ana"],"suffixes":[]},{"propositions":[],"lastnames":["Johansson"],"firstnames":["Saga"],"suffixes":[]},{"propositions":[],"lastnames":["Wallander"],"firstnames":["Mari-Ann"],"suffixes":[]},{"propositions":[],"lastnames":["García","Rodríguez"],"firstnames":["Luis","Alberto"],"suffixes":[]}],"year":"2002","pmid":"11897013","pmcid":"PMC99044","keywords":"Adult, Age Factors, Aged, Aged, 80 and over, Atrial Fibrillation, Chronic Disease, Cohort Studies, Follow-Up Studies, Humans, Logistic Models, Middle Aged, Risk Factors","pages":"5","bibtex":"@article{ruigomez_risk_2002,\n\ttitle = {Risk of mortality in a cohort of patients newly diagnosed with chronic atrial fibrillation},\n\tvolume = {2},\n\tissn = {1471-2261},\n\tabstract = {OBJECTIVE: To estimate the mortality rate of patients newly diagnosed with chronic atrial fibrillation (AF) and compare it with the one in the general population. To evaluate the role of co-morbidity and other factors on the risk of dying among AF patients.\nMETHODS: We used the General Practice Research Database in the UK to perform a retrospective cohort study. We followed a cohort of chronic AF patients (N = 1,035) and an age and sex matched cohort of 5,000 subjects sampled from the general population. We used all deceased AF patients as cases (n = 234) and the remaining AF patients as controls to perform a nested case-control analysis. We estimated mortality risk associated with AF using Cox regression. We computed mortality relative risks using logistic regression among AF patients.\nRESULTS: During a mean follow-up of two years, 393 patients died in the general population cohort and 234 in the AF cohort. Adjusted relative risk of death in the cohort of AF was 2.5 (95\\%CI 2.1 - 3.0) compared to the general population. Among AF patients, mortality risk increased remarkably with advancing age. Smokers carried a relative risk of dying close to threefold. Ischaemic heart disease was the strongest clinical predictor of mortality with a RR of 3.0 (95\\% CI; 2.1-4.1). Current use of calcium channel blockers, warfarin and aspirin was associated with a decreased risk of mortality.\nCONCLUSIONS: Chronic AF is an important determinant of increased mortality. Major risk factors for mortality in the AF cohort were age, smoking and cardiovascular co-morbidity, in particular ischaemic heart disease.},\n\tlanguage = {eng},\n\tjournal = {BMC cardiovascular disorders},\n\tauthor = {Ruigómez, Ana and Johansson, Saga and Wallander, Mari-Ann and García Rodríguez, Luis Alberto},\n\tyear = {2002},\n\tpmid = {11897013},\n\tpmcid = {PMC99044},\n\tkeywords = {Adult, Age Factors, Aged, Aged, 80 and over, Atrial Fibrillation, Chronic Disease, Cohort Studies, Follow-Up Studies, Humans, Logistic Models, Middle Aged, Risk Factors},\n\tpages = {5}\n}\n\n","author_short":["Ruigómez, A.","Johansson, S.","Wallander, M.","García Rodríguez, L. 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