Restriction of the referral of patients with stable angina for CT coronary angiography by clinical evaluation and calcium score: impact on clinical decision making
- 412 Downloads
- 5 Citations
Abstract
Objective
To investigate the value of the calcium score (CaSc) plus clinical evaluation to restrict referral for CT coronary angiography (CTCA) by reducing the number of patients with an intermediate probability of coronary artery disease (CAD).
Methods
We retrospectively included 1,975 symptomatic stable patients who underwent clinical evaluation and CaSc calculation and CTCA or invasive coronary coronary angiography (ICA). The outcome was obstructive CAD (≥50 % diameter narrowing) assessed by ICA or CTCA in the absence of ICA. We investigated two models: (1) clinical evaluation consisting of chest pain typicality, gender, age, risk factors and ECG and (2) clinical evaluation with CaSc. Discrimination of the two models was compared. The stepwise reclassification of patients with an intermediate probability of CAD (10–90 %) after clinical evaluation followed by clinical evaluation with CaSc was assessed by clinical net reclassification improvement (NRI).
Results
Discrimination of CAD was significantly improved by adding CaSc to the clinical evaluation (AUC: 0.80 vs. 0.89, P < 0.001). CaSc and CTCA could be avoided in 9 % using model 1 and an additional 29 % of CTCAs could be avoided using model 2. Clinical NRI was 57 %.
Conclusion
CaSc plus clinical evaluation may be useful in restricting further referral for CTCA by 38 % in symptomatic stable patients with suspected CAD.
Key Points
• CT calcium scores (CaSc) could proiritise referrals for CT coronary angiography (CTCA)
• CaSc provides an incremental discriminatory value of CAD compared with clinical evaluation
• Risk stratification is better when clinical evaluation is combined with CaSc
• Appropriate use of clinical evaluation and CaSc helps avoid unnecessary CTCA referrals
Keywords
Coronary artery disease (CAD) Clinical evaluation Calcium score (CaSc) Computed tomography coronary angiography (CTCA) ReclassificationAbbreviations
- AP
angina pectoris
- AUC
area under the receiver-operating characteristic curve
- CAD
coronary artery disease
- CaSc
calcium score
- CI
confidence interval
- CTCA
computed tomography coronary angiography
- CVD
cardiovascular disease
- DLP
dose length product
- ECG
electrocardiogram
- ECGQ
pathological Q-wave on ECG
- ICA
invasive coronary angiography
- IQR
interquartile range
- NRI
net reclassification improvement
- OR
odds ratio
- SD
standard deviation
- SE
standard error
Notes
References
- 1.Mark DB, Berman DS, Budoff MJ et al (2010) ACCF/ACR/AHA/NASCI/SAIP/SCAI/SCCT 2010 expert consensus document on coronary computed tomographic angiography: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. J Am Coll Cardiol 55:2663–2699PubMedCrossRefGoogle Scholar
- 2.Leber AW, Johnson T, Becker A et al (2007) Diagnostic accuracy of dual-source multi-slice CT-coronary angiography in patients with an intermediate pretest likelihood for coronary artery disease. Eur Heart J 28:2354–2360PubMedCrossRefGoogle Scholar
- 3.Meijboom WB, van Mieghem CA, Mollet NR et al (2007) 64-slice computed tomography coronary angiography in patients with high, intermediate, or low pretest probability of significant coronary artery disease. J Am Coll Cardiol 50:1469–1475PubMedCrossRefGoogle Scholar
- 4.Weustink AC, Mollet NR, Neefjes LA et al (2010) Diagnostic accuracy and clinical utility of noninvasive testing for coronary artery disease. Ann Intern Med 152:630–639PubMedCrossRefGoogle Scholar
- 5.Brenner DJ, Hall EJ (2007) Computed tomography—an increasing source of radiation exposure. N Engl J Med 357:2277–2284PubMedCrossRefGoogle Scholar
- 6.Einstein AJ, Moser KW, Thompson RC, Cerqueira MD, Henzlova MJ (2007) Radiation dose to patients from cardiac diagnostic imaging. Circulation 116:1290–1305PubMedCrossRefGoogle Scholar
- 7.Shaw LJ, Hachamovitch R, Berman DS et al (1999) The economic consequences of available diagnostic and prognostic strategies for the evaluation of stable angina patients: an observational assessment of the value of precatheterization ischemia. Economics of Noninvasive Diagnosis (END) Multicenter Study Group. J Am Coll Cardiol 33:661–669PubMedCrossRefGoogle Scholar
- 8.Diamond GA, Forrester JS (1979) Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. N Engl J Med 300:1350–1358PubMedCrossRefGoogle Scholar
- 9.Pryor DB, Shaw L, McCants CB et al (1993) Value of the history and physical in identifying patients at increased risk for coronary artery disease. Ann Intern Med 118:81–90PubMedCrossRefGoogle Scholar
- 10.Morise AP, Haddad WJ, Beckner D (1997) Development and validation of a clinical score to estimate the probability of coronary artery disease in men and women presenting with suspected coronary disease. Am J Med 102:350–356PubMedCrossRefGoogle Scholar
- 11.Fox K, Garcia MA, Ardissino D et al (2006) Guidelines on the management of stable angina pectoris: executive summary: The Task Force on the Management of Stable Angina Pectoris of the European Society of Cardiology. Eur Heart J 27:1341–1381PubMedCrossRefGoogle Scholar
- 12.Taylor AJ, Cerqueira M, Hodgson JM et al (2010) ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 appropriate use criteria for cardiac computed tomography. A report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance. J Am Coll Cardiol 56:1864–1894PubMedCrossRefGoogle Scholar
- 13.Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R (1990) Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 15:827–832PubMedCrossRefGoogle Scholar
- 14.Rumberger JA, Simons DB, Fitzpatrick LA, Sheedy PF, Schwartz RS (1995) Coronary artery calcium area by electron-beam computed tomography and coronary atherosclerotic plaque area. A histopathologic correlative study. Circulation 92:2157–2162PubMedCrossRefGoogle Scholar
- 15.Leschka S, Scheffel H, Desbiolles L et al (2008) Combining dual-source computed tomography coronary angiography and calcium scoring: added value for the assessment of coronary artery disease. Heart 94:1154–1161PubMedCrossRefGoogle Scholar
- 16.Kennedy J, Shavelle R, Wang S, Budoff M, Detrano RC (1998) Coronary calcium and standard risk factors in symptomatic patients referred for coronary angiography. Am Heart J 135:696–702PubMedCrossRefGoogle Scholar
- 17.Budoff MJ, Diamond GA, Raggi P et al (2002) Continuous probabilistic prediction of angiographically significant coronary artery disease using electron beam tomography. Circulation 105:1791–1796PubMedCrossRefGoogle Scholar
- 18.Guerci AD, Spadaro LA, Goodman KJ et al (1998) Comparison of electron beam computed tomography scanning and conventional risk factor assessment for the prediction of angiographic coronary artery disease. J Am Coll Cardiol 32:673–679PubMedCrossRefGoogle Scholar
- 19.Haberl R, Becker A, Leber A et al (2001) Correlation of coronary calcification and angiographically documented stenoses in patients with suspected coronary artery disease: results of 1,764 patients. J Am Coll Cardiol 37:451–457PubMedCrossRefGoogle Scholar
- 20.Genders TS, Pugliese F, Mollet NR et al (2010) Incremental value of the CT coronary calcium score for the prediction of coronary artery disease. Eur Radiol 20:2331–2340PubMedCrossRefGoogle Scholar
- 21.Genders TS, Steyerberg EW, Hunink MG et al (2012) Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts. BMJ 344:e3485PubMedCrossRefGoogle Scholar
- 22.Cheng VY, Berman DS, Rozanski A et al (2011) Performance of the traditional age, sex, and angina typicality-based approach for estimating pretest probability of angiographically significant coronary artery disease in patients undergoing coronary computed tomographic angiography: Results from the Multinational Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry (CONFIRM). Circulation 124:2423–2432PubMedCrossRefGoogle Scholar
- 23.Villines TC, Hulten EA, Shaw LJ et al (2011) Prevalence and severity of coronary artery disease and adverse events among symptomatic patients with coronary artery calcification scores of zero undergoing coronary computed tomography angiography: results from the CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter) registry. J Am Coll Cardiol 58:2533–2540PubMedCrossRefGoogle Scholar
- 24.Meijboom WB, Van Mieghem CA, van Pelt N et al (2008) Comprehensive assessment of coronary artery stenoses: computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina. J Am Coll Cardiol 52:636–643PubMedCrossRefGoogle Scholar
- 25.Weustink AC, Mollet NR, Neefjes LA et al (2009) Preserved diagnostic performance of dual-source CT coronary angiography with reduced radiation exposure and cancer risk. Radiology 252:53–60PubMedCrossRefGoogle Scholar
- 26.Dharampal AS, Rossi A, Papadopoulou SL et al (2011) Is there a difference in the diagnostic accuracy of computed tomography coronary angiography between women and men? Coron Artery Dis 22:421–427PubMedCrossRefGoogle Scholar
- 27.Dharampal AS, Papadopoulou SL, Rossi A et al (2012) Computed tomography coronary angiography accuracy in women and men at low to intermediate risk of coronary artery disease. Eur Radiol 22:2415–2423PubMedCrossRefGoogle Scholar
- 28.Nieman K, Galema T, Weustink A et al (2009) Computed tomography versus exercise electrocardiography in patients with stable chest complaints: real-world experiences from a fast-track chest pain clinic. Heart 95:1669–1675PubMedCrossRefGoogle Scholar
- 29.Diamond GA (1983) A clinically relevant classification of chest discomfort. J Am Coll Cardiol 1:574–575PubMedCrossRefGoogle Scholar
- 30.Maisel AS, Ahnve S, Gilpin E et al (1985) Prognosis after extension of myocardial infarct: the role of Q wave or non-Q wave infarction. Circulation 71:211–217PubMedCrossRefGoogle Scholar
- 31.Austen WG, Edwards JE, Frye RL et al (1975) A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation 51:5–40PubMedCrossRefGoogle Scholar
- 32.Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S (1997) A comparison of goodness-of-fit tests for the logistic regression model. Stat Med 16:965–980PubMedCrossRefGoogle Scholar
- 33.DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845PubMedCrossRefGoogle Scholar
- 34.Cook NR, Ridker PM (2009) Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures. Ann Intern Med 150:795–802PubMedCrossRefGoogle Scholar
- 35.Wijns W, Kolh P, Danchin N et al (2010) Guidelines on myocardial revascularization. Eur Heart J 31:2501–2555PubMedCrossRefGoogle Scholar
- 36.De Bruyne B, Pijls NH, Kalesan B et al (2012) Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med 367:991–1001PubMedCrossRefGoogle Scholar
- 37.Genders TS, Steyerberg EW, Alkadhi H et al (2011) A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension. Eur Heart J 32:1316–1330PubMedCrossRefGoogle Scholar
- 38.Arbab-Zadeh A, Miller JM, Rochitte CE et al (2012) Diagnostic accuracy of computed tomography coronary angiography according to pre-test probability of coronary artery disease and severity of coronary arterial calcification. The CORE-64 (Coronary Artery Evaluation Using 64-Row Multidetector Computed Tomography Angiography) International Multicenter Study. J Am Coll Cardiol 59:379–387PubMedCrossRefGoogle Scholar