A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department

[1]  Knut Baumann,et al.  Cross-validation as the objective function for variable-selection techniques , 2003 .

[2]  W. Baxt,et al.  A neural computational aid to the diagnosis of acute myocardial infarction. , 2002, Annals of emergency medicine.

[3]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[4]  Ulf Ekelund,et al.  Patients with suspected acute coronary syndrome in a university hospital emergency department: an observational study , 2002, BMC emergency medicine.

[5]  R. Zalenski,et al.  Stress testing for risk stratification of patients with low to moderate probability of acute cardiac ischemia. , 2001, Emergency medicine clinics of North America.

[6]  H. Tunstall-Pedoe,et al.  Myocardial Infarction and Coronary Deaths in the World Health Organization MONICA Project: Registration Procedures, Event Rates, and Case‐Fatality Rates in 38 Populations From 21 Countries in Four Continents , 1994, Circulation.

[7]  J Herlitz,et al.  Early prediction of acute myocardial infarction from clinical history, examination and electrocardiogram in the emergency room. , 1991, The American journal of cardiology.

[8]  H S Fraser,et al.  An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin measurements. , 1997, Computer methods and programs in biomedicine.

[9]  R. Mattu,et al.  Impact of the recommendations for the redefinition of myocardial infarction on diagnosis and prognosis in an unselected United Kingdom cohort with suspected cardiac chest pain. , 2004, The American journal of cardiology.

[10]  R F Harrison,et al.  Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation , 2005, Heart.

[11]  R. Harrison,et al.  Early diagnosis of acute myocardial infarction using clinical and electrocardiographic data at presentation: derivation and evaluation of logistic regression models. , 1996, European heart journal.

[12]  E F Cook,et al.  A computer protocol to predict myocardial infarction in emergency department patients with chest pain. , 1988, The New England journal of medicine.

[13]  G. Guyatt,et al.  The rational clinical examination. Is this patient having a myocardial infarction? , 1998, JAMA.

[14]  J. Deckers,et al.  Implementation of a pre-hospital decision rule in general practice. Triage of patients with suspected myocardial infarction. , 1996, European heart journal.

[15]  Lars Edenbrandt,et al.  Direct hospital costs of chest pain patients attending the emergency department: a retrospective study , 2006, BMC emergency medicine.

[16]  J. Griffith,et al.  Clinical Features of Emergency Department Patients Presenting with Symptoms Suggestive of Acute Cardiac Ischemia: A Multicenter Study , 1998, Journal of Thrombosis and Thrombolysis.

[17]  J. Herlitz,et al.  Emergency room prediction of mortality and severe complications in patients with suspected acute myocardial infarction. , 1994, European heart journal.

[18]  J. Ornato,et al.  A comprehensive strategy for the evaluation and triage of the chest pain patient: A cost comparison study , 2003, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

[19]  R. Hendel,et al.  Myocardial perfusion imaging for evaluation and triage of patients with suspected acute cardiac ischemia: a randomized controlled trial. , 2002, JAMA.

[20]  Gordon H. Guyatt,et al.  Is This Patient Having a Myocardial Infarction , 1998 .

[21]  B. Psaty,et al.  Predictors of myocardial infarction in emergency room patients , 1985, Critical care medicine.

[22]  J P Ornato,et al.  Use of the Acute Cardiac Ischemia Time-Insensitive Predictive Instrument (ACI-TIPI) To Assist with Triage of Patients with Chest Pain or Other Symptoms Suggestive of Acute Cardiac Ischemia: A Multicenter, Controlled Clinical Trial , 1998, Annals of Internal Medicine.

[23]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[24]  W. Baxt,et al.  A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain. , 2002, Annals of emergency medicine.

[25]  L. Goldman,et al.  Triage of Patients with Acute Chest Pain and Possible Cardiac Ischemia: The Elusive Search for Diagnostic Perfection , 2003, Annals of Internal Medicine.

[26]  M. Kontos.  Role of Echocardiography in the Emergency Department for Identifying Patients with Myocardial Infarction and Ischemia , 1999, Echocardiography.

[27]  R B D'Agostino,et al.  A predictive instrument to improve coronary-care-unit admission practices in acute ischemic heart disease. A prospective multicenter clinical trial. , 1984, The New England journal of medicine.

[28]  R. L. Kennedy,et al.  Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation. , 2005, Annals of emergency medicine.

[29]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[30]  R Ruthazer,et al.  Missed diagnoses of acute cardiac ischemia in the emergency department. , 2000, The New England journal of medicine.

[31]  K. Liestøl,et al.  Decision support by computer analysis of selected case history variables in the emergency room among patients with acute chest pain. , 1993, European heart journal.

[32]  J. Mair,et al.  A decision tree for the early diagnosis of acute myocardial infarction in nontraumatic chest pain patients at hospital admission. , 1995, Chest.

[33]  Ook.,et al.  PREDICTION OF THE NEED FOR INTENSIVE CARE IN PATIENTS WHO COME TO EMERGENCY DEPARTMENTS WITH ACUTE CHEST PAIN , 2000 .

[34]  J. López-Sendón,et al.  Prognostic Value of Clinical Variables at Presentation in Patients with Non-ST-Segment Elevation Acute Coronary Syndromes: Results of the Proyecto de Estudio del Pronóstico de la Angina (PEPA) , 2002, Medicine.

[35]  G W Rouan,et al.  Clinical characteristics and natural history of patients with acute myocardial infarction sent home from the emergency room. , 1987, The American journal of cardiology.

[36]  M L Simoons,et al.  Pre-hospital triage of patients with suspected myocardial infarction. Evaluation of previously developed algorithms and new proposals. , 1995, European heart journal.