A new simplified immediate prognostic risk score for patients with acute myocardial infarction

Emergency Medicine Journal

Volumn 23, Issue 3, 2006, Pages 186-192

  Williams, B A ^a   Wright, R Scott ^a   Murphy, J G ^a   Brilakis, E S ^a   Reeder, G S ^a   Jaffe, A S ^a  

^a MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACETYLSALICYLIC ACID; ANTILIPEMIC AGENT; BETA ADRENERGIC RECEPTOR BLOCKING AGENT; CREATININE; DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR;

ACCURACY; ACUTE HEART INFARCTION; ADULT; AGE; AGED; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CORONARY CARE UNIT; CREATININE BLOOD LEVEL; ELECTROCARDIOGRAPHY; EMERGENCY CARE; FEMALE; GENDER; HEART INFARCTION LOCALIZATION; HOSPITAL ADMISSION; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; MORTALITY; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; QRS COMPLEX; RISK ASSESSMENT; SCORING SYSTEM; ST SEGMENT DEPRESSION; SYSTOLIC BLOOD PRESSURE; TRANSLUMINAL CORONARY ANGIOPLASTY; VALIDATION PROCESS; EMERGENCY HEALTH SERVICE; HEART INFARCTION; HOSPITALIZATION; MIDDLE AGED; RISK FACTOR;

AGED; AGED, 80 AND OVER; COHORT STUDIES; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; MALE; MIDDLE AGED; MYOCARDIAL INFARCTION; PROGNOSIS; RISK ASSESSMENT; RISK FACTORS; SEVERITY OF ILLNESS INDEX;

EID: 33645556208     PISSN: 14720205     EISSN: None     Source Type: Journal    
DOI: 10.1136/emj.2005.027326     Document Type: Article

References (50)

1. Maseri A, Rebuzzi AG, Cianflone D. Need for a composite risk stratification of patients with unstable coronary syndromes tailored to clinical practice. Circulation 1997;96:4141-2.
2. Epstein SE, Palmeri ST, Patterson RE. Evaluation of patients after acute myocardial infarction: indications for cardiac catheterization and surgical intervention. N Engl J Med 1982;307:1487-92.
3. Newby LK, Califf RM. Identifying patient risk: the basis for rational discharge planning after acute myocardial infarction. J Thromb 1996;3:107-15.
4. Alpert JS. Prognosis in acute myocardial infarction. Eur Heart J 1998;19:979-80.
5. Killip T, Kimball JT. Treatment of myocardial infarction in a coronary care unit: a two year experience with 250 patients. Am J Cardiol 1967;20:457-64.
6. Norris RM, Brandt PW, Caughey DE et al. A new coronary prognostic index. Lancet 1969;1:274-8.
7. Norris RM, Brandt PW, Lee AJ. Mortality in a coronary care unit analyzed by a new prognostic index. Lancet 1969;1:278-81.
8. Dubois C, Pierard LA, Albert A, et al. Short-term risk stratification at admission based on simple clinical data in acute myocardial infarction. Am J Cardiol 1988;61:216-19.
9. Norris RM, Caughey DE, Deeming LW, et al. Coronary prognostic index for predicting survival after recovery from acute myocardial infarction. Lancet 1970;ii:485-8.
10. Chapman BL, Gray CH. Prognostic index for myocardial infarction treated in a coronary care unit. Br Heart J 1973;35:135-41.
11. Woo KS. Coronary prognostic index for the Chinese. Aust N Z J Med 1987;17:562-7.
12. Woo KS, Pun CO, Wang RY, et al. Validation of a coronary prognostic index for the Chinese - a tale of three cities. Int J Cardiol 1989;23:173-8.
13. Teskey RJ, Calvin JE, McPhail I. Disease severity in the coronary care unit. Chest 1991;100:1637-42.
14. Funk M, Pooley-Richards RL. Predicting hospital mortality in patients with acute myocardial infarction. Am J Crit Care 1994;3:168-76.
15. Van Domburg RT, Klootwijk P, Deckers JW, et al. The cardiac infarction injury score as a predictor for long-term mortality in survivors of a myocardial infarction. Eur Heart J 1998;19:1034-41.
16. Christiansen JP, Liang C. Reappraisal of the Norris score and the prognostic value of left ventricular ejection fraction measurement for in-hospital mortality after acute myocardial infarction. Am J Cardiol 1999;83:589-91.
17. Morrow DA, Antman EM, Charlesworth A, et al. TIMI risk score for ST-elevation myocardial infarction: a convenient bedside, clinical score for risk assessment at presentation. Circulation 2000;102:2031-7.
18. Boersma E, Pieper KS, Steyerberg EW, et al. Predictors of outcome in patients with acute coronary syndromes without persistent ST-segment elevation. Circulation 2000; 101: 2557-67.
19. Lee KL, Woodlief LH, Topol EJ, et al. Predictors of 30-day mortality in the era of reperfusion for acute myocardial infarction: results from an international trial of 41 021 patients. Circulation 1995;91:1659-68.
20. Hathaway WR, Peterson ED, Wagner GS, et al. Prognostic significance of the initial electrocardiogram in patients with acute myocardial infarction. JAMA 1998;279:387-91.
21. Tu JV, Austin PC, Wald R, et al. Development and validation of the Ontario acute myocardial infarction mortality prediction rules. J Am Coll Cardiol 2001;37:992-7.
22. Wyatt JC, Altman DG. Commentary: Prognostic models: clinically useful or quickly forgotten. BMJ 1995;311:1539-41.
23. Lee KL, Pryor DB, Harrell Jr FE, et al. Predicting outcome in coronary disease: Statistical models vs. expert clinicians. Am J Med 1986;80:553-60.
24. Ruttimann UE. Statistical approaches to development and validation of predictive instruments. Crit Care Clin 1994; 10: 19-35.
25. Braitman LE, Davidoff F. Predicting clinical states in individual patients. Ann Intern Med 1996;125:406-12.
26. Gumina RJ, Wright RS, Kopecky SL, et al. Strong predictive value of TIMI risk score analysis for in-hospital and long-term survival in right ventricular infarction. Eur Heart J 2002;23:1678-83.
27. Brilakis ES, Mavrogiorgos NC, Kopecky SL, et al. Validation of the TIMI risk score for ST-elevation acute myocardial infarction in a community-based coronary care unit registry. Circulation 2001;104(suppl II):II.380.
28. Brilakis ES, Mavrogiorgos NC, Kopecky SL, et al. Use of the PURSUIT risk score for predicting late mortality in a non-selected, community-based population with both ST-elevation and non-ST elevation acute myocardial infarction. Circulation 2001;104(suppl II):II.696.
29. Scirica BM, Cannon CP, Antman EM, et al. Validation of the thrombolysis in myocardial infarction (TIMI) risk score for unstable angina pectoris and non-ST-elevation myocardial infarction in the TIMI III registry. Am J Cardiol 2002;90:303-5.
30. Morrow DA, Antman EM, Parsons L, et al. Application of the TIMI risk score for ST-elevation MI in the National Registry of Myocardial Infarction 3. JAMA 2001;286:1356-9.
31. Gillum RF, Fortmann SP, Prineas RJ, et al. WHO criteria for diagnosis of acute myocardial infarction. Am Heart J 1984; 108:150-8.
32. Harrell FE. Regression Modeling Strategies, Springer-Verlag, 2001.
33. Phillips AN, Thompson SG, Pocock SJ. Prognostic scores for detecting a high risk group: estimating the sensitivity when applied to new data. Stat Med 1990;9:1189-98.
34. Harrell Jr FE, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-87.
35. Mazumdar M, Glassman JR. Categorizing a prognostic variable: review of methods, code for easy implementation and applications to decision-making about cancer treatments. Stat Med 2000;19:113-32.
36. Collett D. Modelling Survival Data in Medical Research. London: Chapman & Hall, 1994.
37. Ohman EM, Granger CB, Harrington RA, et al. Risk stratification and therapeutic decision making in acute coronary syndromes. JAMA 2000;284:876-8.
38. MacIntyre J, Stewart S, Capewell S, et al. Gender and survival: a population-based study of 201 114 men and women following a first acute myocardial infarction. J Am Coll Cardiol 2001;38:729-35.
39. Haley JH, Suh WW, Pellikka PA, et al. Gender remains a powerful predictor of increased mortality in acute myocardial infarction in a defined community population. J Am Coll Cardiol 1999;33(2 suppl A):365A.
40. Vaccarino V, Parsons L, Every NR, et al. Sex-based differences in early mortality after myocardial infarction. N Engl J Med 1999;341-217-25.
41. Kaul P, Newby LK, Fu Y, et al. Troponin T and quantitative ST-segment depression offer complementary prognostic information in the risk stratification of acute coronary syndrome patients. J Am Coll Cardiol 2003;41:371-80.
42. Pudil R, Feinberg MS, Hod H, et al. The prognostic significance of intermediate QRS prolongation in acute myocardial infarction. Int J Cardiol 2001;78:233-9.
43. Brilakis ES, Mavrogiorgos NC, Kopecky SL, et al. Usefulness of QRS duration in the absence of bundle branch block as an early predictor of survival in non-ST elevation acute myocardial infarction. Am J Cardiol 2002;89:1013-18.
44. Granger CB, Goldberg RJ, Dabbous O, et al. Predictors of hospital mortality in the global registry of acute coronary events. Arch Intern Med 2003;163:2345-53.
45. Wilcox G, Archer PD, Bailey M, et al. Measurement of cardiac troponin I levels in the emergency department: predictive value for cardiac and all-cause mortality. Med J Aust 2001; 174:163-4.
46. Schroder K, Wegscheider K, Zeymer U, et al. Extent of ST-segment deviation in the single ECG lead of maximum deviation present 90 or 180 minutes after start of thrombolytic therapy best predicts outcome in acute myocardial infarction. Z Kardiol 2001,90:557-67.
47. Barakat K, Stevenson S, Wilkinson P, et al. Socioeconomic differentials in recurrent ischemia and mortality after acute myocardial infarction. Heart 2001;85:390-4.
48. Smock AL, Larson B, Brown C, et al. Early prediction of 30-day mortality after q-wave infarction by echocardiographic assessment of left ventricular function - a pilot investigation. Clin Cardiol 2001;24:191-5.
49. Srinivas VS, Cannon CP, Gibson CM, et al. Myoglobin levels at 12 hours identify patients at low risk for 30-day mortality after thrombolysis in acute myocardial infarction: a thrombolysis in myocardial infarction 10B substudy. Am Heart J 2001; 142:29-36.
50. Cannon CP, McCabe CH, Wilcox RG, et al. Association of white blood cell count with increase mortality in acute myocardial infarction and unstable angina pectoris. Am J Cardiol 2001;87:636-9.