Validity of Myocardial Infarction Diagnoses in Administrative Databases: A Systematic Review
暂无分享,去创建一个
Diane Lacaille | J. Aviña-Zubieta | D. Lacaille | N. McCormick | V. Bhole | J. A. Aviña-Zubieta | Natalie McCormick | Vidula Bhole | J. Antonio Avina-Zubieta
[1] Hugo A. Katus,et al. Myocardial infarction redefined--a consensus document of The Joint European Society of Cardiology/American College of Cardiology Committee for the redefinition of myocardial infarction. , 2000, European heart journal.
[2] A. Folsom,et al. Trends in the sensitivity, positive predictive value, false-positive rate, and comparability ratio of hospital discharge diagnosis codes for acute myocardial infarction in four US communities, 1987-2000. , 2004, American journal of epidemiology.
[3] L. Lix,et al. Surveillance of systemic autoimmune rheumatic diseases using administrative data , 2011, Rheumatology International.
[4] Peter A Kavsak,et al. The impact of the ESC/ACC redefinition of myocardial infarction and new sensitive troponin assays on the frequency of acute myocardial infarction. , 2006, American heart journal.
[5] R. Schlienger,et al. Effect of rheumatoid arthritis or systemic lupus erythematosus on the risk of first-time acute myocardial infarction. , 2004, The American journal of cardiology.
[6] Trends in incidence and mortality from acute myocardial infarction in Nova Scotia and Saskatchewan 1974 to 1985. The Nova Scotia-Saskatchewan Cardiovascular Disease Epidemiology Group. , 1992, The Canadian journal of cardiology.
[7] J. Ranstam,et al. Validity of register data on acute myocardial infarction and acute stroke , 1993, Scandinavian journal of social medicine.
[8] T. Meade. Cardiovascular Disease: Epidemiology , 2001 .
[9] A. Maguire,et al. Use of oral corticosteroids and the risk of acute myocardial infarction. , 2007, Atherosclerosis.
[10] D. Lacaille,et al. Systematic Review of Validation Studies of the Use of Administrative Data to Identify Serious Infections , 2013, Arthritis care & research.
[11] L. Lix,et al. The validity of administrative data to identify hip fractures is high--a systematic review. , 2013, Journal of clinical epidemiology.
[12] Lisa Lix,et al. Consensus Statements for the Use of Administrative Health Data in Rheumatic Disease Research and Surveillance , 2013, The Journal of Rheumatology.
[13] S. Soedamah-Muthu,et al. High risk of cardiovascular disease in patients with type 1 diabetes in the U.K.: a cohort study using the general practice research database. , 2006, Diabetes care.
[14] S. Gabriel,et al. Do cardiovascular risk factors confer the same risk for cardiovascular outcomes in rheumatoid arthritis patients as in non-rheumatoid arthritis patients? , 2007, Annals of the rheumatic diseases.
[15] E. Ingelsson,et al. The validity of a diagnosis of heart failure in a hospital discharge register , 2005, European journal of heart failure.
[16] D. Labarthe,et al. An assessment of the validity of ICD Code 410 to identify hospital admissions for myocardial infarction: The Corpus Christi Heart Project. , 1996, International journal of epidemiology.
[17] J. Virtamo,et al. Validity of diagnoses of major coronary events in national registers of hospital diagnoses and deaths in Finland , 1997, European Journal of Epidemiology.
[18] J. Boer,et al. Validity of coronary heart diseases and heart failure based on hospital discharge and mortality data in the Netherlands using the cardiovascular registry Maastricht cohort study , 2009, European Journal of Epidemiology.
[19] The World Health Organization MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration. WHO MONICA Project Principal Investigators. , 1988, Journal of clinical epidemiology.
[20] L. See,et al. Risk of myocardial infarction among patients with gout: a nationwide population-based study. , 2013, Rheumatology.
[21] Estimation of the incidence of acute myocardial infarction using record linkage: a feasibility study in Nova Scotia and Saskatchewan. Nova Scotia-Saskatchewan Cardiovascular Disease Epidemiology Group. , 1989, Canadian journal of public health = Revue canadienne de sante publique.
[22] C. Kooperberg,et al. Comparison of self-report, hospital discharge codes, and adjudication of cardiovascular events in the Women's Health Initiative. , 2004, American journal of epidemiology.
[23] B. Yawn,et al. Trends in Incidence, Severity, and Outcome of Hospitalized Myocardial Infarction , 2010, Circulation.
[24] H. Guess,et al. All-cause mortality and vascular events among patients with rheumatoid arthritis, osteoarthritis, or no arthritis in the UK General Practice Research Database. , 2003, The Journal of rheumatology.
[25] M. Kornitzer,et al. The World Health Organization MONICA Project (Monitoring trends and determinants in cardiovascular disease): A major international Collaboration , 1988 .
[26] A. Dobson,et al. The accuracy of hospital records and death certificates for acute myocardial infarction. , 1995, Australian and New Zealand journal of medicine.
[27] V. Salomaa,et al. The validity of the routine mortality statistics on coronary heart disease in Finland: comparison with the FINMONICA MI register data for the years 1983-1992. Finnish multinational MONItoring of trends and determinants in CArdiovascular disease. , 1999, Journal of clinical epidemiology.
[28] R. Carney,et al. Anxiety disorders increase risk for incident myocardial infarction in depressed and nondepressed Veterans Administration patients. , 2010, American heart journal.
[29] C. Pineau,et al. A population-based assessment of systemic lupus erythematosus incidence and prevalence--results and implications of using administrative data for epidemiological studies. , 2007, Rheumatology.
[30] P. Bossuyt,et al. BMC Medical Research Methodology , 2002 .
[31] H. Tunstall-Pedoe,et al. The World Health Organization MONICA Project (monitoring trends and determinants in cardiovascular disease): a major international collaboration , 1988 .
[32] R. Beaglehole,et al. Validation of coronary heart disease hospital discharge data. , 1987, Australian and New Zealand journal of medicine.
[33] Peter C Austin,et al. A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario. , 2002, American heart journal.
[34] M. Kornitzer,et al. Misclassification of coronary heart disease in mortality statistics. Evidence from the WHO-MONICA Ghent-Charleroi Study in Belgium. , 1998, Journal of Epidemiology and Community Health.
[35] D. Balzi,et al. Hospital discharge data for assessing myocardial infarction events and trends, and effects of diagnosis validation according to MONICA and AHA criteria , 2010, Journal of Epidemiology & Community Health.
[36] Hude Quan,et al. Measuring agreement of administrative data with chart data using prevalence unadjusted and adjusted kappa , 2009, BMC medical research methodology.
[37] Principal Investigators,et al. The World Health Organization MONICA project (monitoring trends and determinants in cardiovascular disease): a major international collabaration , 1988 .
[38] J. Murabito,et al. Long-Term Trends in Myocardial Infarction Incidence and Case Fatality in the National Heart, Lung, and Blood Institute's Framingham Heart Study , 2009, Circulation.
[39] Alastair Gray,et al. Economic burden of cardiovascular diseases in the enlarged European Union. , 2006, European heart journal.
[40] T. Marandi,et al. Diagnosis and treatment of acute myocardial infarction in tertiary and secondary care hospitals in Estonia , 2006, Scandinavian journal of public health.
[41] Sebastian Schneeweiss,et al. Accuracy of Medicare claims-based diagnosis of acute myocardial infarction: estimating positive predictive value on the basis of review of hospital records. , 2004, American heart journal.
[42] C D Naylor,et al. False-positive coding for acute myocardial infarction on hospital discharge records: chart audit results from a tertiary centre. , 1990, The Canadian journal of cardiology.
[43] J. Spinelli,et al. Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review? , 2000, Journal of clinical epidemiology.
[44] Jacek A Kopec,et al. Trends in physician-diagnosed osteoarthritis incidence in an administrative database in British Columbia, Canada, 1996-1997 through 2003-2004. , 2008, Arthritis and rheumatism.
[45] V. Salomaa,et al. The validity of the Finnish Hospital Discharge Register and Causes of Death Register data on coronary heart disease , 2005, European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology.
[46] B. Hemmelgarn,et al. Prevalence of autoimmune inflammatory myopathy in the first nations population of Alberta, Canada , 2012, Arthritis care & research.
[47] B. Hemmelgarn,et al. Prevalence of systemic lupus erythematosus and systemic sclerosis in the First Nations population of Alberta, Canada , 2012, Arthritis care & research.
[48] K. Thygesen,et al. Erratum: Myocardial infarction redefined - A consensus document of the Joint European Society of Cardiology/American College of Cardiology Committee for the Redefinition of Myocardial Infarction (Journal of the American College of Cardiology (2000) 36 (959-969)) , 2001 .
[49] V. Salomaa,et al. The validity of hospital discharge register data on coronary heart disease in Finland , 1997, European Journal of Epidemiology.
[50] N S Rawson,et al. Validity of the recording of ischaemic heart disease and chronic obstructive pulmonary disease in the Saskatchewan health care datafiles. , 1995, Statistics in medicine.
[51] R. Beaglehole,et al. Validation of coronary heart disease death certificate diagnoses. , 1988, The New Zealand medical journal.
[52] U. Keil,et al. Case finding, data quality aspects and comparability of myocardial infarction registers: results of a south German register study. , 1991, Journal of clinical epidemiology.
[53] M. Stern,et al. Miscoding of hospital discharges as acute myocardial infarction: implications for surveillance programs aimed at elucidating trends in coronary artery disease. , 1984, The American journal of cardiology.
[54] J. Kopec,et al. Independent impact of gout on the risk of acute myocardial infarction among elderly women: a population-based study , 2010, Annals of the rheumatic diseases.
[55] Maarten L. Simoons,et al. The third universal definition of myocardial infarction , 2013 .
[56] Jordi Castellsague,et al. Positive predictive value of ICD‐9 codes 410 and 411 in the identification of cases of acute coronary syndromes in the Saskatchewan Hospital automated database , 2008, Pharmacoepidemiology and drug safety.
[57] S. Normand,et al. Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database , 1999, Journal of General Internal Medicine.
[58] J. Ornato,et al. Impact of the troponin standard on the prevalence of acute myocardial infarction. , 2003, American heart journal.
[59] Karen Tu,et al. Systematic Review and Critical Appraisal of Validation Studies to Identify Rheumatic Diseases in Health Administrative Databases , 2013, Arthritis care & research.
[60] L. Melton,et al. Determining perioperative complications associated with vaginal hysterectomy: code classification versus chart review. , 2009, Journal of the American College of Surgeons.
[61] M Rosén,et al. A national record linkage to study acute myocardial infarction incidence and case fatality in Sweden. , 2001, International journal of epidemiology.
[62] Sebastian Schneeweiss,et al. Validation of claims‐based diagnostic and procedure codes for cardiovascular and gastrointestinal serious adverse events in a commercially‐insured population , 2010, Pharmacoepidemiology and drug safety.
[63] George A Mensah,et al. An overview of cardiovascular disease burden in the United States. , 2007, Health affairs.
[64] V. Salomaa,et al. A new definition for myocardial infarction: what difference does it make? , 2005, European heart journal.
[65] J. Kopec,et al. Risk of Cardiovascular Disease in Patients With Osteoarthritis: A Prospective Longitudinal Study , 2013, Arthritis care & research.
[66] J. Tuomilehto,et al. Diagnosis of acute myocardial infarction by MONICA and FINMONICA diagnostic criteria in comparison with hospital discharge diagnosis. , 1994, Journal of clinical epidemiology.
[67] A R Levy,et al. Coding accuracy of hospital discharge data for elderly survivors of myocardial infarction. , 1999, The Canadian journal of cardiology.
[68] L I Iezzoni,et al. Does clinical evidence support ICD-9-CM diagnosis coding of complications? , 2000, Medical care.
[69] V. Sundararajan,et al. Quality of Diagnosis and Procedure Coding in ICD-10 Administrative Data , 2006, Medical care.
[70] J. Avorn,et al. Immunosuppressive medications and hospitalization for cardiovascular events in patients with rheumatoid arthritis. , 2006, Arthritis and rheumatism.
[71] J. R. Landis,et al. The measurement of observer agreement for categorical data. , 1977, Biometrics.
[72] M. Kramer. Life-Table (Survival) Analysis , 1988 .