Rapid technological advances in cardiovascular imaging technology have led to explosive growth in noninvasive coronary imaging. Computed tomography coronary angiography (CTCA) ≥ 64 slice shows better diagnostic accuracy (sensitivity: 97.2 percent; specificity: 87.4 percent) (Reference Ollendorf, Kuba and Pearson13) than other diagnostic tests, such as myocardial perfusion scintigraphy (MPS) (sensitivity 92 percent; specificity 74 percent) (Reference Mowatt, Vale and Brazzelli12), stress echocardiography (sensitivity 80 percent; specificity 84 percent) (Reference Geleijnse, Fioretti and Roelandt7), and magnetic resonance imaging (MRI) (sensitivity 87.1 percent; specificity 70.3 percent) (Reference Schuetz, Zacharopoulou and Schlattmann15).
Since its introduction, appropriate use of CTCA has been proposed to exclude coronary artery disease (CAD) in low/intermediate risk patients (Reference Mark, Berman and Budoff11,Reference Taylor, Cerqueira and Hodgson16), although evidence of improved outcomes and cost-effectiveness compared with other noninvasive diagnostic tests has never been demonstrated (Reference Redberg and Walsh14,Reference Van Brabandt, Camberlin and Cleemput17). According to the diagnostic algorithm proposed by the American College of Cardiology and the American Heart Association (Reference Gibbons, Abrams and Chatterjee8), coronary angiography (CA) is indicated when symptoms, clinical findings or results from noninvasive tests suggest a high risk of CAD and future cardiac events. So far research on CTCA has focused on the diagnostic performance of continuously evolving versions of the device (from 16 slices to 320 slices) (Reference Hurlock, Higashino and Mochizuki10). However, little attention has been paid to the actual impact on clinical practice styles of CTCA availabilities.
In this study, we assess the clinical impact of CTCA on MPS and CA volumes in suspected/known CAD patients (irrespective of cardiovascular risk and symptoms) in Emilia-Romagna, an Italian region with a population of 4.4 million. We expected both a decrease in MPS volumes (because of specialist preference for a diagnostic test with better diagnostic accuracy), and a reduction in CA volumes, due to CTCA use as a gatekeeper to CA. Moreover, we supposed that CTCA adoption could lead to a gradual change in the trend of use of MPS and CA after CTCA diffusion rather than a rapid change.
METHODS
Monthly volumes of MPS and CA tests performed in Emilia-Romagna between January 2003 and December 2010 were retrieved from the regional databases of the outpatient specialist care and the hospital discharge records. The following ICD-9-CM codes were used to determine the diagnostic procedures performed: 92.05.1, 92.05.2, 92.09.1, 92.09.2 for MPS and 88.55, 88.56, 88.57 for CA. As CTCA had no specific ICD-9-CM coding, annual volumes for this procedure were retrieved from the information system of each individual diagnostic facility.
To assess the impact of CTCA on practice patterns, the time frame of the study was divided into two periods: before and after full adoption of CTCA. Operationally, full adoption was considered to be achieved in September 2006, when all the regional Local Health Districts (i.e., the healthcare organizations responsible for the provision of care on a provincial basis) had one CTCA device in place on average. Overall, for our analysis we relied on 44 and 52 monthly observations, before and after September 2006, respectively.
Data were analyzed by using interrupted time series (ITS). After controlling for the effects of seasonality through the moving average method, the assessment of change in volumes before and after CTCA adoption was performed applying regression models. Two regression models were used, assigning the monthly number of MPS or CA, respectively, as the dependent variable, and three dummy variables as covariates (Reference Campbell and Stanley2;Reference Carroll3;Reference Draper and Smith6). In detail, having set to zero the time point at which CTCA was adopted (September 2006), the first dummy (representing the slope before CTCA) was stepped backward and the second (slope after CTCA) stepped forward. Moreover, the latter was set to 0 before CTCA adoption and 1 after it. The difference between before and after slope regression coefficients represents the “change in slope” attributed to CTCA, while the “change in level” coefficient is calculated by the model. Autocorrelation was explored by using the Durbin-Watson statistic and the Cochrane-Orcutt iterative procedure was used for adjustment.
Analyses were performed using SAS 9.1 (SAS Institute, Cary, NC).
RESULTS
During the time frame 2003–08, CTCA increased until 2006 and became stable afterward; MPS volumes increased until 2006 and decreased thereafter; CA volumes increased until 2007 and then decreased slightly (Table 1).
Monthly volumes of MPS and CA tests performed in Emilia-Romagna hospitals are shown in Figure 1 (bright gray line), along with the seasonal and three-monthly moving average adjusted time series (dot line and black line, respectively). A volume decrease of MPS and CA is clearly evident after the diffusion of CTCA in September 2006. It is particularly marked for MPS, whose volumes dropped by 31 percent (from 9,982 to 6,929 procedures) between 2006 and 2010.
These observations were confirmed by ITS analyses (Table 2): CTCA diffusion was associated with a “change in slope,” affecting both MPS (β = −8.84; p value < .0001) and CA (β = −13.17; p value < .0001). Slope coefficients before and after CTCA diffusion had opposite signs and were both statistically significant. As expected, no “change in level” was detected for either procedure (β = −3.52; p value = .8846 and β = 17.95; p value = .5497, respectively).
Serial autocorrelation was evident for both diagnostic procedures: Durbin Watson test value (D) for MPS was 0.493 (p < .0001) and 0.445 (p < .0001) for CA. The Cochrane Orcutt iterative approach succeeded in correcting for autocorrelation for MPS (D = 1.960; p = .3276), but it did not for CA (D = 1.561; p = .0082). This could have led to underestimation of standard errors and overestimation of CTCA effects over CA.
DISCUSSION
Our findings suggest that CTCA had a greater impact on MPS utilization rates than on CA: after September 2006, CTCA volumes remained quite stable over time, MPS volumes had a statistically significant decrease of 31 percent while CA volumes of 5 percent only.
The impact of CTCA on clinical practice has frequently been the object of speculation, asserting that, in view of its high negative predictive value compared with traditional noninvasive diagnostic tests, the number of other noninvasive tests should have been decreased because of CTCA capacity to better select patients for potential revascularization. However, until now these hypotheses have never been confirmed. To best of our knowledge, few studies so far have explored how CTCA availability affects pattern of care for patients with CAD.
Auseon et al. (1) compared the number of diagnostic and therapeutic procedures performed in a single center for suspected CAD for 5 years before and 1 year after 64-slice CTCA introduction in 2005 (1,053 CTCA total procedures performed). The authors calculated the absolute number of procedures performed and normalized the rates for the number of total visits. They found that, during the first year of CTCA introduction, the volumes of cardiac catheterization and coronary interventions were not altered and the volumes of overall stress tests were decreased.
Wagdi and Alkadhi (Reference Wagdi and Alkadhi18) evaluated retrospectively the impact of CTCA on the appropriate usage of CA in two hospitals (one private and one public) 1 year before and 1 year after the introduction of CTCA. They found a significant drop in CA examinations in patients with suspected CAD showing any significant coronary disease (19 percent in 2006 versus 10 percent in 2007; p < .0001).
Chow et al. (Reference Chow, Abraham and Wells4) found a decreased number of CA performed in a single tertiary-care center after the implementation of a cardiac CT program, from 31.5 percent to 26.8 percent (p < .001). These findings were significantly different (p = .003) from three other centers that were studied, where normal CAs remained unchanged (30 percent to 31 percent).
Since its introduction as a tool for noninvasive coronary imaging, CTCA has undergone significant clinical validation against CA regarding feasibility and diagnostic performance for the assessment of luminal stenosis. However, data demonstrating benefits on outcomes and supporting widespread usage of this diagnostic modality are still lacking, as pointed out by a “decision memo” for CTCA coverage decision by US Centers for Medicare and Medicaid Services stating “there is uncertainty regarding any potential health benefits or patient management alterations from including CTCA in the diagnostic work-up of patients who may have coronary artery disease; no adequately powered study has established that improved health outcomes can be causally attributed to CTCA for any well-defined clinical indication, and the body of evidence is of overall limited quality and limited applicability in community practice”(5).
Waiting for the evidence from comparative effectiveness research on CTCA, we applied ITS analyses to this “before and after design” study, to confirm our expectation of gradual change in volumes of MPS and CA tests performed after CTCA diffusion (measured by the change in slope). One of the explanations of our findings could be that cardiologists became more confident with CTCA technology, thus reducing the number of patients referred to scintigraphy due to MPS lower diagnostic accuracy. Coronary angiography volumes decreased only slightly, perhaps because the number of CTCA performed was still too small (1,500/year) to affect the total number of CA executed (20,000/year) or the number of people not referred to CA because of a negative CTCA result counterbalanced the number of people wrongly referred to CA because of a false positive CTCA result. A further explanation might be that referral cardiologists were still more confident in CA in view of the possibility of on-line revascularization. Finally, it could be argued that the observed MPS decrease was due to the uptake of other innovative imaging technologies or to the reduction in Technetium 99m availability, but the latter occurred only after 2008, that is, 1.5 years after our observations (9).
This study has of course relevant limitations. First, we investigated the effects on CAD management of CTCA diffusion without really going into depth about the CTCA, MPS, and CA phenomena (e.g., including information about patients, indications, technologies, procedure results, and so on). We just assumed that in September 2006 CTCA was widespread, as its annual volumes remained quite stable since that date. The underlying reason was that we had detailed clinical and instrumental information just for CA (a regional coronary angiography clinical database started in 2002), a regional CTCA clinical database was launched in 2007 only and any MPS clinical database has never been developed.
Second, our study did not investigate other diagnostic modalities for CAD such as stress-echo and MRI, that could have affected the decrease in MPS use. We tried to analyze stress-echo volumes, but encountered coding problems that led to an underestimation of the total number of tests performed and MRI was performed by only one hospital with very low volumes.
Third, the fact that usage is heavily dependent on technology availability could have invalidated our results: we took a picture when every Local Health District had one machine on average but it can be expected that the number of CTCA performed will increase with technology diffusion.
At last, our study did not consider all possible consequences deriving from the adoption of CTCA: the therapeutic impact (e.g., the number of CA/revascularization procedures either prevented or incurred and a change in drug regimen), safety issues (e.g., radiation exposure and adverse events), and costs. Each of these aspects would deserve a comparative research study with traditional diagnostic tests.
In conclusion, the scientific literature on CTCA is still largely dominated by observational studies, focused mainly on diagnostic accuracy rather than on clinical impact on coronary artery disease management. The present study is the first one exploring the latter aspect contributing to knowledge by using interrupted time series methodology in a regional context. However, further research is needed to confirm our findings and to investigate real CTCA effectiveness on patient outcomes, compared with other traditional tests.
CONTACT INFORMATION
Elena Berti, MD, Laura Maria Belotti, Statistician, Tiziana Giovannini, Biologist, Rossana De Palma, MD, Head of Clinical Governance Unit, Roberto Grilli, MD, Director, Agenzia Sanitaria e Sociale Regionale - Regione Emilia-Romagna (ASSR-RER), Bologna, Italy
Filippo Cademartiri, MD, PhD, Department of Radiology, Azienda Ospedaliero-Universitaria, Parma, Italy
CONFLICTS OF INTEREST
All authors report they have no potential conflicts of interest.