Presentation on theme: "Utilization of Cardiac Serum Marker Measurements to Identify and Exclude Acute Myocardial Infarction Francis M. Fesmire, MD, FACEP Assistant Professor,"— Presentation transcript:
Utilization of Cardiac Serum Marker Measurements to Identify and Exclude Acute Myocardial Infarction Francis M. Fesmire, MD, FACEP Assistant Professor, UT College of Medicine Director, Heart-Stroke Center Erlanger Medical Center, Chattanooga, Tn email@example.com
Bias Multitude of Experimental Bias – Positive value of assay also defines AMI – Use the ROC curve optimum value of newer assay to compare against “gold standard” for older assay – Differing patient populations ICU vs general ED Early symptom onset versus late symptom onset
Valid Comparison? Conditions for a valid study: – The diagnosis of AMI needs to be independent of positive value of marker under investigation – Statistical Analysis of ROC curve area – Sensitivity and specificity comparison should be performed at a point on the individual ROC curves where likelihood ratio’s are equivalent and clinically meaningful
Likelihood Ratios Bayes’ Theorem – Pretest odds of the disease X likelihood ratio = Posttest odds of the disease – Positive LR = sensitivity/(1-specificity) – Negative LR = (1-sensitivity)/specificity In general, a +LR > 10 or < 0.1 should influence clinical decision making The ideal marker of AMI should both identify and exclude AMI
Definition Reliably Identifies: – sensitivity > 90% with +LR > 10 Reliably Excludes: – specificity > 90% with -LR < 0.1 ACEP Clinical Policy: Suspected AMI or Unstable Angina; Annals of Emergency Medicine 2000; Ann Emerg Med 2000;35:521-544.
Diagnostic Marker Cooperative Study Prospective double-blind study comparing CK-MB activity, CK-MB mass, CK-MB subforms, myoglobin, cTnT, and cTnI 955 patients, 119 with AMI Conclude that CK-MB subforms and myoglobin are the most sensitive for early diagnosis of AMI Zimmerman et al: Circulation; 1999;99:1671-1677
AMI Definition “The diagnostic standard for myocardial infarction was a CK-MB mass > 7 ng/ml and CK-MB index > 2.5% in greater than 2 samples or in one sample if only one sample was available for analysis” – CK-MB mass > 7 ng/ml both defines AMI and a positive value of CK-MB – No WHO criteria for AMI utilized
ROC Curve Area Data 6 Hours: CK-MB subform (0.95) = cTnT (0.95) > CK-MB activity (0.94) > myoglobin (0.92) > cTnI (0.89) 14 Hours: CK-MB activity (0.99) > cTnI (0.97) > CK-MB subform (0.94) > cTnT (0.91) > myoglobin (0.84) – Area of CK-MB mass not given??? – No statistical analysis of ROC curves – No comparison at equal likelihood ratio’s
Ideal Marker ?? The ideal marker should reliably identify (sensitivity >90%; +LR > 10) and reliably exclude (specificity > 90% and -LR < 0.1): – No marker fulfills this criteria at 2, 4, 6 hours – CK-MB activity: 10, 14, 18 hours – CK-MB mass: 10, 14, 18, 22 hours – cTnI:10, 18 hours – CK-MB subform, myoglobin, cTnT: never
ACEP Evidence-Based Standards “No single determination of one serum biochemical marker of myocardial necrosis reliably identifies or reliably excludes AMI less than 6 hours of symptom onset.” “No serum biochemical marker identifies or excludes unstable angina at any time after symptom onset.” ACEP Clinical Policy: Suspected AMI or Unstable Angina; Annals of Emergency Medicine 2000; 35:521- 544.
ACEP Guidelines “In patients presenting with acute chest pain and a negative baseline serum marker level, consider repeat testing at the following time intervals from symptom onset prior to making an exclusionary diagnosis of AMI:” ACEP Clinical Policy: Suspected AMI or Unstable Angina; Annals of Emergency Medicine 2000; In Press
“The exact timing of the repeat serum marker should take into account the sensitivity, precision, and institutional norms of the assay being utilized, as well as the release kinetics of the marker being measured.” “cTnT and cTnI are the preferred serum markers in patients presenting greater than 24 hours after symptom onset.” “Myoglobin does not reliably identify or exclude AMI at any time after symptom onset.”
Footnote “If time of symptom onset is unknown, unreliable, or more consistent with preinfarctional angina, then time of symptom onset should be referenced to the time of ED presentation.” ACEP Clinical Policy: Suspected AMI or Unstable Angina; Annals of Emergency Medicine 2000; 35:521- 544.
WHO Diagnostic Criteria for AMI WHO Criteria: Two of three characteristics: – Typical symptoms – Typical rise and fall in cardiac markers – New Q waves on ECG
ESC/ACC Diagnostic Criteria Typical rise and fall of cardiac markers accompanied by one of the following: – Ischemic symptoms – New Q waves – Ischemic ECG changes – Coronary intervention J Am Col Cardiol 2000;36;959-969
ESC/ACC Diagnostic Criteria “An increased value for cardiac troponin should be defined as a measurement exceeding the 99 th percentile of a reference control group…. Acceptable imprecision at the 99 th percentile for each assay should be defined as < 10%” J Am Col Cardiol 2000;36;959-969
Implications Estimated that number of patients with diagnosis of AMI utilizing new definition will increase by??? Ferguson et al (Heart 2002; 88:343-347) – 80 admitted chest pain patients 29% fulfilled WHO criteria 40% fulfilled ESC/AHA criteria
Implications Global Registry of Acute Coronary Events (GRACE Registry) – 3420 patients Redefining AMI based on new troponin cutoff recommendations: – 25% increase in number of patients classified as AMI Gooman et al: J Am Coll Cardiol 2001;37:358A
The Future !!! Utilization of Second Generation cTnI Assays for the Early Identification of Acute Coronary Syndromes
What is the best marker of AMI? Troponins by default become best marker of AMI (incorporation bias) Multiple causes of troponin elevations confusing physicians and researchers New definitions on AMI need to focus on measuring changes in troponin values as opposed to absolute values
Utilization of Cardiac Serum Marker Measurements to Identify and Exclude Acute Myocardial Infarction Francis M. Fesmire, MD, FACEP Director Heart-Stroke Center, Erlanger Medical Center Associate Professor, UT College of Medicine Just Do It!!!
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