A Comparison of Functional and Anatomical Investigations with Angina Symptoms: Results from a Randomized Controlled Trial

The presence of angina is a potential source of reduced quality of life and may be a predictor of adverse cardiovascular outcomes. Recent guidelines suggest that management of angina should revolve around the use of the Diamond Forrester (DF) score to determine which tests should be used for an individual patient. The choice of test can be broadly categorized into anatomical or function. Little is known about how either type of test correlates with the DF score. This study was part of a larger randomized Controlled Trial to compare the use of cardiac Computerized Tomography (CT) and exercise Electrocardiogram Stress Test (EST) in patients with stable angina. This analysis compared the results from EST and CT against the DF scores. Overall all results showed that there is a poor correlation between DF and both tests. R-squared value from the linear model showed correlation between EST and DF scores to be 0.315, with the correlation between CT and DF scores 0.415. This calls into question the useful of symptoms to drive investigations. Received Date: April 13, 2016 Accepted Date: May 20, 2016 Published Date: May 26, 2016 Citation: McKavanagh, P., et al. A Comparison of Functional and Anatomical Investigations with Angina Symptoms: Results from a Randomized Controlled Trial. (2016) J Heart Cardiol 2(2): 17. McKavanagh, P., et al.


Statistical Analysis
There were several aims of this study. Firstly, the authors wished to find the correlation of DF scores with CT and EST in classifying significant and non-significant CAD in patients with angina. Secondly to determine the agreement of CT and EST findings in terms of a high/low DF score. Thirdly to determine the accuracy of DF classification with CT and EST in classifying significant and non-significant CAD according to the diagnosis established at the conclusion of the investigative pathway.

Demographics
Descriptive statistics were used to summarize demographic variables by group. In general, mean, standard deviation, range (minimum to maximum) were employed for continuous variables, whilst frequency and percentage were used for categorical variables. To assess the differences between groups, a Fisher's Exact test was performed.

Sample Size
The sample size was calculated in relation to the original trial primary outcome. i.e, the change of the SAQ score at 3 months from baseline. Details of this have been previously described [14] .

DF Scores
To determine if there was a relationship between DF scores and the EST and CT classification, box plots illustrating the distribution of the scores were initially created. A linear model with Analysis Of Variance (ANOVA) was performed to further examine differences of DF scores among the positive, negative and inconclusive groups for each of EST and CT. A two sample t-test was used to determine if there was a difference in DF scores between EST and CT tests.

DF Classification
DF scores were classified in two groups to help identify those who were categorized as high risk and low risk. Those scores above 50 were categorized as 'high', whilst those equal to or below 50 were categorized as 'low'. To determine if there were differences between the classified DF scores and EST and CT classification, a Chi-squared test with Yate's continuity correction was employed. To examine if the classification threshold of 50 was appropriate, true positive and negative classifications with 95% confidence intervals were derived.

Demographics
Of the 500 patients with suspected CAD who were randomized, 9 did not receive the allocated test and 3 others withdrew after 3 months. This meant that 245 patients in the EST cohort and 243 in the CT cohort (see Figure 1). Baseline demographics are seen in Table 1.

DF scores
The mean DF score was 46.3%. There was no statistically significant difference between the cohorts, as seen in Table 1. Figure 2 and Table 2 shows the distribution of DF scores against EST and CT results. There was highly statistically significant difference noted in DF scores between the EST categories of positive, negative and inconclusive (p ≤ 0.05). Likewise highly statistically significant differences were also noted in DF scores between the CT categories of positive, negative and inconclusive (p ≤ 0.05). After removing the inconclusive categories, the difference in DF scores between the EST categories remained highly statistically significant. Positive values were on average 21.23 higher than negative values. This pattern was also seen after removing the inconclusive categories from the CT results, with the difference in DF scores between the CT categories remaining highly statistically significant. Positive values were on average 28.33 higher than negative values.

Results of EST and CT
In the EST arm the mean exercise duration was 7 minutes 35 seconds (ranging from 1 min 33 sec to 16 min 20 sec). Overall, 47 were positive, 132 negative and 66 inconclusive (see Table 1). In the CT arm, the mean CS was 172.2 ± 490.1 (ranging from 0 to 3901) with a median of 0. One hundred and twenty-six patients had a CS of zero; 92 had a score of 1 -400, and 25 had a CS > 400. CTCA demonstrated that 73 had significant disease, 58 had non-obstructive disease, 106 had no disease, and 6 were inconclusive (see Table 1).
With inconclusive categories included, there was no statistically significant difference found between the test (EST or CT) and DF scores (p-value = 0.300). This result remained true with inconclusive values removed (p-value = 0.074). A Chi-square test suggested that there was no statistically significant difference between positive EST/CT and high/low DF scores (p-value = 0.524). Similarly, there was no statistically significant difference between negative EST/CT and high/low DF scores (p-value = 0.662).

Correlation between investigation results and DF
To derive a correlation against the EST or CT classification, the R-squared value from the linear model was examined. The overall correlation between EST and DF scores was estimated to be 0.315, with the correlation between CT and DF scores was estimated to be 0.415.

Discussion
The current study involves a prospective randomized cohort of patients presenting with chest pain of suspected CAD origin. It compares their DF scores and the results of their allocated investigation, EST or CT, along with the final diagnosis following further investigation where required. The main finding of the study was that the overall correlation between DF and tests results was poor. Previous studies have suggested that there is a weak correlation between myocardial ischemia and the burden of angina [23,24] . This paper has adds that direct visualization of CAD stenoses with an anatomical test is no more accurate than functional testing in predicting high likelihood of disease as suggested by DF score. To our knowledge this has never been described before.
Approximately 25% of people experience chest pain in their life time [25,26] , with it accountable for approximately 1% of visits to the general practitioner [27] , 5% of Accident and Emergency Department (A & E) attendances and up to 25% of un-planned hospital admissions [28] . However it is estimated that only 11 to 39% of patients presenting with chest pain are eventually found to have CAD [29] . Patients with chest pain and no evidence of significant CAD can continue to have physical limitations and a poor quality of life [29,30] . The pathophysiology of such pain is unknown, although prior studies have suggested possible mechanisms such as endothelial and microvascular coronary dysfunction [31][32][33] as well as psychological factors [34] . Traditionally patients with symptomatic non obstructive disease are a difficult cohort to manage as symptoms are often indistinguishable from those with significant CAD [35] .
The overall poor correlation between DF score and both the EST and CT results means that this study adds to the body of evidence that suggests that symptom driven stratification does not permit accurate discrimination in the detection of significant CAD [36][37][38] . Character of pain in a patient's history alone is not a good discriminator of risk of significant CAD, with previous work showing patients with non-anginal pain having a yearly risk of cardiac death of 0.4% compared to 0.9% of those presenting with typical pain [39] . Furthermore myocardial ischemia does not always equate to angina [40,41] with it estimated that 25% to 45% of patients with CAD experience episodes of asymptomatic ischemia [42,43] . Asymptomatic ischemia is associated with poor prognosis [44][45][46] , whereas the converse of angina in the absence of ischemia is not [47] . It has also been suggested that relief of ischemia rather than relief of angina should be the aim of therapy [48] . In an ideal world both anatomy and functional significance of disease would be determined before deciding on a management strategy. However in everyday clinical practice both anatomical and functional tests are used in chest pain assessment, with the choice depending on local policy, availability, and clinician expertise.
Cardiac CT work has also highlighted the weakness with risk stratification by history as the presence of non-significant disease on CTCA is associated with adverse CAD events [49] . Asymptomatic individuals with disease on CT also have a less favorable prognosis [50] . Cardiac CT has the ability to exclusion CAD in patients with a low-to-intermediate cardiovascular risk profile, with scanners able to produce good quality scans without compromising image quality [51] . Patients with chest pain yet normal coronary arteries have a good prognosis [52,53] . Recent work has suggested that the use of cardiac CT can prevent mislabeling of patients with the diagnosis of angina [54] . This present study on stable chest pain is in keeping with previous published work that CT helps stratify patients better than the history scoring systems alone [55] .
It is somewhat predictable that in those patients with low DF scores, negative results were more accurately identified by the EST than the CT. Due to the anatomical nature of CT it is possible to have the presence of obstructive disease detected before the onset of symptoms. Anatomical disease can be present without functional significance or symptoms, whereas in contrast the EST attempts to detect ischemia, with pain being part of the ischaemic cascade.
There are a number of limitations in this study. Firstly it was a single centre study. Secondly due to exclusion criteria of BMI and renal function there were low numbers of diabetics in this study, whose symptoms may be less 'typical' than standard patients. Thirdly EST is not as accurate as stress imaging modalities, which may have produced different results. However the aim of the CAPP study was to contrast CT with the present standard of care, which in the UK is the EST. Fourthly the study was powered to evaluate the difference in SAQ domains over time, not for this analysis of contrasting SAQ results against test results. Furthermore, in this study cardiac CT was used for all patients regardless of pre-test probability. Guidelines suggest that it should be only used for low and intermediate risk patients [7][8][9] . In addition, the final diagnosis of significant or non-significant CAD was influenced by the discretion of clinicians ordering additional investigations. This was not a standardized process and may introduce bias.

Conclusion
In conclusion, DF score is a poor tool for clinicians making the decision to proceed to either CTCA or EST, as there it has poor correlation with both of these tests.