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Research

Using the clinical chemistry score in the emergency department to detect adverse cardiac events: a diagnostic accuracy study

Peter A. Kavsak, Joshua O. Cerasuolo, Dennis T. Ko, Jinhui Ma, Jonathan Sherbino, Shawn E. Mondoux, Natasha Clayton, Stephen A. Hill, Matthew McQueen, Lauren E. Griffith, Shamir R. Mehta, Richard Perez, Hsien Seow, P.J. Devereaux and Andrew Worster
November 02, 2020 8 (4) E676-E684; DOI: https://doi.org/10.9778/cmajo.20200047
Peter A. Kavsak
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Joshua O. Cerasuolo
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Dennis T. Ko
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Jinhui Ma
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Jonathan Sherbino
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Shawn E. Mondoux
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Natasha Clayton
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Stephen A. Hill
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Matthew McQueen
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Lauren E. Griffith
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Shamir R. Mehta
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
MD MSc
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Richard Perez
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Hsien Seow
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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P.J. Devereaux
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
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Andrew Worster
Department of Pathology and Molecular Medicine (Kavsak, Hill, McQueen), McMaster University; ICES McMaster (Cerasuolo, Perez, Seow), Faculty of Health Sciences, McMaster University, Hamilton, Ont.; ICES (Ko), Toronto, Ont.; Department of Health Research Methods, Evidence, and Impact (Ma, Griffith); Division of Emergency Medicine (Sherbino, Mondoux, Worster); Department of Medicine (Clayton); Division of Cardiology, and Population Health Research Institute (Mehta, Devereaux), McMaster University, Hamilton, Ont.
MD MSc
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    Figure 1:

    Flow diagram of the 2 different ED cohorts in this study. ACS = acute coronary syndrome, CCS = clinical chemistry score, hs-cTnI = high-sensitivity cardiac troponin I, hs-cTnT = high-sensitivity cardiac troponin T, ED = emergency department, EDP = emergency department physician, eGFR = estimated glomerular filtration rate, MACE = major adverse cardiac event, NSTEMI = non-ST-segment elevation myocardial infarction, OHIP = Ontario Health Insurance Plan, RPDB = Registered Persons Database, STEMI = ST-segment elevation myocardial infarction.

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    Table 1:

    Characteristics of the 2 study cohorts

    CharacteristicNo. (%) of patients*
    Cohort 1
    n = 1058
    Cohort 2
    n = 5974
    Age, yr, mean ± SD67 ± 1768 ± 17
    Female sex558 (52.7)3025 (50.6)
    Hypertension744 (70.3)4045 (67.7)
    Diabetes mellitus312 (29.4)1961 (32.8)
    History of myocardial infarction378 (35.7)674 (11.3)
    History of PCI or CABG236 (22.3)453 (7.6)
    History of peripheral vascular disease75 (7.1)742 (12.4)
    Glucose concentration, mmol/L, mean ± SD7.4 ± 3.67.6 ± 4.4
    eGFR, mL/min per 1.73 m2, mean ± SD72 ± 2769 ± 27
    hs-cTnI concentration at presentation < 99th percentile cut-off†842 (79.6)4698 (78.6)
    30-day MACE205 (19.4)871(14.6)
    • Note: CABG = coronary artery bypass grafting, eGFR = estimated glomerular filtration rate, hs-cTNI = high-sensitivity cardiac troponin I, MACE = major adverse cardiac event, PCI = percutaneous coronary intervention, SD = standard deviation.

    • ↵* Unless indicated otherwise.

    • ↵† 99th percentile upper reference limit is 11 ng/L for Ortho hs-cTnI assay and 26 ng/L for Abbott hs-cTnI assay.

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    Table 2:

    Performance of the clinical chemistry score versus hs-cTnI concentration (measured using the Ortho Vitros 3600 hs-cTnI assay) alone for identifying risk for 30-day MACE

    Score cut-offPatients with at least 1 MACE within 30 dPatients with no MACE within 30 d
    CCS ≥ 1, no. of patients204744
    CCS < 1, no. of patients1*109
     Sensitivity, % (95% CI)99.5 (97.3–99.9)
     Negative predictive value, % (95% CI)99.1 (93.9–99.9)
     Negative likelihood ratio (95% CI)0.04 (0.01–0.27)
     Specificity, % (95% CI)12.8 (10.6–15.2)
     Positive predictive value, % (95% CI)21.5 (21.1–21.9)
     Positive likelihood ratio (95% CI)1.14 (1.11–1.17)
    hs-cTnI ≥ 1 ng/L, no. of patients187519
    hs-cTnI < 1 ng/L, no. of patients18334
     Sensitivity, % (95% CI)91.2 (86.5–94.7)
     Negative predictive value, % (95% CI)94.9 (92.2–96.7)
     Negative likelihood ratio (95% CI)0.22 (0.14–0.35)
     Specificity, % (95% CI)39.2 (35.9–42.5)
     Positive predictive value, % (95% CI)26.5 (25.2–27.8)
     Positive likelihood ratio (95% CI)1.50 (1.40–1.61)
    hs-cTnI ≥ 5 ng/L, no. of patients152183
    hs-cTnI < 5 ng/L, no. of patients53669
     Sensitivity, % (95% CI)74.2 (67.6–80.0)
     Negative predictive value, % (95% CI)92.7 (90.9–94.1)
     Negative likelihood ratio (95% CI)0.33 (0.26–0.42)
     Specificity, % (95% CI)78.5 (75.6–81.2)
     Positive predictive value, % (95% CI)45.4 (41.6–49.1)
     Positive likelihood ratio (95% CI)3.45 (2.97–4.02)
    CCS = 5, no. of patients5819
    CCS < 5, no. of patients147834
     Specificity, % (95% CI)97.8 (96.5–98.7)
     Positive predictive value, % (95% CI)75.3 (65.0–83.4)
     Positive likelihood ratio (95% CI)12.7 (7.74–20.8)
     Sensitivity, % (95% CI)28.3 (22.2–34.9)
     Negative predictive value, % (95% CI)85.0 (83.9–86.1)
     Negative likelihood ratio (95% CI)0.73 (0.67–0.80)
    hs-cTnI > 11 ng/L, no. of patients13284
    hs-cTnI ≤ 11 ng/L, no. of patients73768
     Specificity, % (95% CI)90.1 (87.9–92.0)
     Positive predictive value, % (95% CI)61.1 (55.6–66.4)
     Positive likelihood ratio (95% CI)6.5 (5.2–8.2)
     Sensitivity, % (95% CI)64.4 (57.4–70.9)
     Negative predictive value, % (95% CI)91.3 (89.7–92.7)
     Negative likelihood ratio (95% CI)0.39 (0.33–0.47)
    • Note: CCS = clinical chemistry score, CI = confidence interval, hs-cTNI = high-sensitivity cardiac troponin I, hs-cTNT = high-sensitivity cardiac troponin T, MACE = major adverse cardiac event.

    • ↵* At presentation, this patient had the following values: hs-TnI < 1 ng/L with the Ortho assay, hs-cTnI < 2 ng/L with the Abbott assay and hs-cTnT < 3 ng/L with the Roche assay. The patient’s 30-day outcome was coronary artery bypass grafting.

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    Table 3:

    Performance of the clinical chemistry score versus hs-cTnI concentration (measured using the Abbott Architect i2000 hs-cTnI assay) alone for identifying risk for 90-day MACE in cohort 2

    Score cut-offPatients with at least 1 MACE within 90 dPatients with no MACE within 90 d
    CCS ≥ 1, no. of patients10924483
    CCS < 1, no. of patients*8391
     Sensitivity, % (95% CI)99.3 (98.6–99.7)
     Negative predictive value, % (95% CI)98.0 (96.1–99.0)
     Negative likelihood ratio (95% CI)0.09 (0.05–0.18)
     Specificity, % (95% CI)8.0 (7.3–8.8)
     Positive predictive value, % (95% CI)19.6 (19.4–19.7)
     Positive likelihood ratio (95% CI)1.08 (1.07–1.09)
    hs-cTnI ≥ 5 ng/L, no. of patients9652635
    hs-cTnI < 5 ng/L, no. of patients1352239
     Sensitivity, % (95% CI)87.7 (85.6–89.6)
     Negative predictive value, % (95% CI)94.3 (93.4–95.1)
     Negative likelihood ratio (95% CI)0.27 (0.23–0.31)
     Specificity, % (95% CI)45.9 (44.5–47.3)
     Positive predictive value, % (95% CI)26.8 (26.1–27.5)
     Positive likelihood ratio (95% CI)1.62 (1.57–1.68)
    CCS = 5, no. of patients420488
    CCS < 5, no. of patients6804386
     Specificity, % (95% CI)90.0 (89.1–90.8)
     Positive predictive value, % (95% CI)46.3 (43.5–49.1)
     Positive likelihood ratio (95% CI)3.81 (3.41–4.27)
     Sensitivity, % (95% CI)38.2 (35.3–41.1)
     Negative predictive value, % (95% CI)86.6 (86.0–87.1)
     Negative likelihood ratio (95% CI)0.69 (0.66–0.72)
    hs-cTnI > 26 ng/L, no. of patients567709
    hs-cTnI ≤ 26 ng/L, no. of patients5334165
     Specificity, % (95% CI)85.5 (84.4–86.4)
     Positive predictive value, % (95% CI)44.4 (42.2–46.6)
     Positive likelihood ratio (95% CI)3.54 (3.24–3.87)
     Sensitivity, % (95% CI)51.6 (48.5–54.5)
     Negative predictive value, % (95% CI)88.7 (88.0–89.3)
     Negative likelihood ratio (95% CI)0.57 (0.53–0.60)
    • Note: CCS = clinical chemistry score, CI = confidence interval, hs-cTnI = high-sensitivity cardiac troponin I, MACE = major adverse cardiac event.

    • ↵* At 30 d, MACE occurred in ≤ 5 patients with a CCS < 1 and these results cannot be reported per ICES standard operating procedures where counts < 6 are suppressed for privacy reasons.

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Using the clinical chemistry score in the emergency department to detect adverse cardiac events: a diagnostic accuracy study
Peter A. Kavsak, Joshua O. Cerasuolo, Dennis T. Ko, Jinhui Ma, Jonathan Sherbino, Shawn E. Mondoux, Natasha Clayton, Stephen A. Hill, Matthew McQueen, Lauren E. Griffith, Shamir R. Mehta, Richard Perez, Hsien Seow, P.J. Devereaux, Andrew Worster
Oct 2020, 8 (4) E676-E684; DOI: 10.9778/cmajo.20200047

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Using the clinical chemistry score in the emergency department to detect adverse cardiac events: a diagnostic accuracy study
Peter A. Kavsak, Joshua O. Cerasuolo, Dennis T. Ko, Jinhui Ma, Jonathan Sherbino, Shawn E. Mondoux, Natasha Clayton, Stephen A. Hill, Matthew McQueen, Lauren E. Griffith, Shamir R. Mehta, Richard Perez, Hsien Seow, P.J. Devereaux, Andrew Worster
Oct 2020, 8 (4) E676-E684; DOI: 10.9778/cmajo.20200047
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