OBJECTIVE: To assess the impact of triple marker testing on patient management and the diagnostic efficiencies of different biomarker strategies examined. DESIGN: A prospective randomised trial of triple marker testing by point-of-care testing (POCT); the Randomised Assessment of Panel Assay of Cardiac markers (RATPAC) study. SETTING: Six emergency departments. PATIENTS: Low-risk patients presenting with chest pain to diagnostic assessment with a cardiac panel measured by POCT or to diagnosis when biomarker measurement was based on central laboratory testing. Interventions 1125 patients were randomly assigned to POCT measurement of the triple marker panel of cardiac troponin I (cTnI), myoglobin and the MB isoenzyme of creatine kinase (CK-MB) on admission and 90 min from admission. MAIN OUTCOME MEASURES: Myocardial infarction (MI) was defined by the universal definition of MI. The following diagnostic strategies were compared by receiver operator characteristic (ROC) curve analysis and comparison of area under the curve (AUC): individual marker values, change (Δ) in CK-MB and myoglobin and the combination of presentation or 90 min value plus Δ value. RESULTS: Admission sample measurement of cTnI was the most diagnostically efficient AUC 0.96 (0.93-0.98) with areas under the ROC curve statistically significantly greater than CK-MB 0.85 (0.80-0.90) and myoglobin 0.75 (0.68-0.81). At 90 min cTnI measurement had the highest AUC 0.95 (0.87-1.00) but was statistically significantly different only from Δmyoglobin and ΔCK-MB. CONCLUSION: Measurement of cTnI alone is sufficient for diagnosis. Measurement of a marker panel does not facilitate diagnosis.
OBJECTIVE: To assess the impact of triple marker testing on patient management and the diagnostic efficiencies of different biomarker strategies examined. DESIGN: A prospective randomised trial of triple marker testing by point-of-care testing (POCT); the Randomised Assessment of Panel Assay of Cardiac markers (RATPAC) study. SETTING: Six emergency departments. PATIENTS: Low-risk patients presenting with chest pain to diagnostic assessment with a cardiac panel measured by POCT or to diagnosis when biomarker measurement was based on central laboratory testing. Interventions 1125 patients were randomly assigned to POCT measurement of the triple marker panel of cardiac troponin I (cTnI), myoglobin and the MB isoenzyme of creatine kinase (CK-MB) on admission and 90 min from admission. MAIN OUTCOME MEASURES: Myocardial infarction (MI) was defined by the universal definition of MI. The following diagnostic strategies were compared by receiver operator characteristic (ROC) curve analysis and comparison of area under the curve (AUC): individual marker values, change (Δ) in CK-MB and myoglobin and the combination of presentation or 90 min value plus Δ value. RESULTS: Admission sample measurement of cTnI was the most diagnostically efficient AUC 0.96 (0.93-0.98) with areas under the ROC curve statistically significantly greater than CK-MB 0.85 (0.80-0.90) and myoglobin 0.75 (0.68-0.81). At 90 min cTnI measurement had the highest AUC 0.95 (0.87-1.00) but was statistically significantly different only from Δmyoglobin and ΔCK-MB. CONCLUSION: Measurement of cTnI alone is sufficient for diagnosis. Measurement of a marker panel does not facilitate diagnosis.
Authors: Christopher Layfield; John Rose; Aaron Alford; Susan R Snyder; Fred S Apple; Farah M Chowdhury; Michael C Kontos; L Kristin Newby; Alan B Storrow; Milenko Tanasijevic; Elizabeth Leibach; Edward B Liebow; Robert H Christenson Journal: Clin Biochem Date: 2015-02-07 Impact factor: 3.281
Authors: Nicholas L Mills; Kuan Ken Lee; David A McAllister; Antonia M D Churchhouse; Margaret MacLeod; Mary Stoddart; Simon Walker; Martin A Denvir; Keith A A Fox; David E Newby Journal: BMJ Date: 2012-03-15
Authors: Sebastian Johannes Reinstadler; Gert Klug; Hans-Josef Feistritzer; Bernhard Metzler; Johannes Mair Journal: Dis Markers Date: 2015-04-16 Impact factor: 3.434
Authors: Antoine Kossaify; Annie Garcia; Sami Succar; Antoine Ibrahim; Nicolas Moussallem; Mikhael Kossaify; Gilles Grollier Journal: Biomark Insights Date: 2013-09-03
Authors: Anoop S V Shah; Yader Sandoval; Ala Noaman; Anne Sexter; Amar Vaswani; Stephen W Smith; Mathew Gibbins; Megan Griffiths; Andrew R Chapman; Fiona E Strachan; Atul Anand; Martin A Denvir; Philip D Adamson; Michelle S D'Souza; Alasdair J Gray; David A McAllister; David E Newby; Fred S Apple; Nicholas L Mills Journal: BMJ Date: 2017-11-07