Literature DB >> 25657592

The Western Denmark Cardiac Computed Tomography Registry: a review and validation study.

Lene Hüche Nielsen1, Bjarne Linde Nørgaard2, Hans Henrik Tilsted3, Niels Peter Sand4, Jesper Møller Jensen2, Morten Bøttcher5, Axel C Diederichsen6, Jess Lambrechtsen7, Lone Deibjerg Kristensen8, Hans Mickley6, Henrik Munkholm1, Ole Gøtzsche2, Lars Lyhne Knudsen5, Hans Erik Bøtker2, Lars Pedersen9, Morten Schmidt10.   

Abstract

BACKGROUND: As a subregistry to the Western Denmark Heart Registry (WDHR), the Western Denmark Cardiac Computed Tomography Registry (WDHR-CCTR) is a clinical database established in 2008 to monitor and improve the quality of cardiac computed tomography (CT) in Western Denmark.
OBJECTIVE: We examined the content, data quality, and research potential of the WDHR-CCTR.
METHODS: We retrieved 2008-2012 data to examine the 1) content; 2) completeness of procedure registration using the Danish National Patient Registry as reference; 3) completeness of variable registration comparing observed vs expected numbers; and 4) positive predictive values as well as negative predictive values of 19 main patient and procedure variables.
RESULTS: By December 31, 2012, almost 22,000 cardiac CTs with up to 40 variables for each procedure have been registered. Of these, 87% were coronary CT angiography performed in patients with symptoms indicative of coronary artery disease. Compared with the Danish National Patient Registry, the overall procedure completeness was 72%. However, an additional medical record review of 282 patients registered in the Danish National Patient Registry, but not in the WDHR-CCTR, showed that coronary CT angiographies accounted for only 23% of all nonregistered cardiac CTs, indicating >90% completeness of coronary CT angiographies in the WDHR-CCTR. The completeness of individual variables varied substantially (range: 0%-100%), but was >85% for more than 70% of all variables. Using medical record review of 250 randomly selected patients as reference standard, the positive predictive value for the 19 variables ranged from 89% to 100% (overall 97%), whereas the negative predictive value ranged from 97% to 100% (overall 99%). Stratification by center status showed consistently high positive and negative predictive values for both university (96%/99%) and nonuniversity centers (97%/99%).
CONCLUSION: WDHR-CCTR provides ongoing prospective registration of all cardiac CTs performed in Western Denmark since 2008. Overall, the registry data have a high degree of completeness and validity, making it a valuable tool for clinical epidemiological research.

Entities:  

Keywords:  coronary computed tomography angiography; database; epidemiology; registries

Year:  2014        PMID: 25657592      PMCID: PMC4317160          DOI: 10.2147/CLEP.S73728

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Technological advances in computed tomography (CT) have facilitated the development of cardiac CT enabling rapid and accurate imaging of the cardiovascular system, including coronary arteries, coronary arterial wall, cardiac valves, myocardium, and associated structures.1 The primary clinical indication for cardiac CT is the detection or exclusion of coronary artery disease (CAD) in patients suspected of angina (ie, coronary CT angiography [CTA]).2,3 As a subregistry of the Western Denmark Heart Registry (WDHR),4 the Western Denmark Cardiac Computed Tomography Registry (WDHR-CCTR) was established in 2008.5 In addition to monitoring and improving the cardiac CT quality in Western Denmark, the aim of the WDHR-CCTR is to allow for real-world clinical and health-service research.5 The coronary interventional data of the WDHR have previously been reviewed,4 whereas the cardiac CT data have not. We therefore examined the content, data quality, and research potential of the WDHR-CCTR, focusing particularly on the coronary CTA data.

Methods

Setting

Western Denmark has a population of 3.3 million (55% of the total Danish population). The Danish National Health Service provides tax-supported health care for the entire Danish population including free access to hospitals, general practitioners and outpatient specialty clinics, and partial reimbursement of prescribed medications.6 The Danish Civil Registration System assigns a unique 10-digit Civil Personal Register (CPR) number to all residents at birth or upon immigration and records information on residents’ vital and emigration status with daily update.7 The CPR number enables linkage between all registries in Denmark at the individual level.7

Data registration

The WDHR-CCTR is derived from an internet-based online system, running on an encrypted public net.4 A common interface form secures standardized data collection from the cardiac centers.4 To optimize the data quality, data are entered by the cardiac center at which the procedure is performed into a computer-based data management system using the patient’s CPR number.4 Serial numbers for patients and procedures are automatically generated to protect patient confidentiality. Standardized forms are used for registration of data. Three registration forms (a referral form, a medical history form, and a procedural form) are completed when entering data into the WDHR-CCTR (Table S1).

Study population

As of 2014, all nine cardiac centers (three university and six nonuniversity centers) in Western Denmark report to the WDHR-CCTR (Figure 1). University cardiac centers are defined by performing coronary revascularization procedures. WDHR-CCTR previously included ten cardiac centers, but recently the two centers at Aarhus University Hospital (Skejby and Tage Hansens Gade) were merged into one center. The WDHR-CCTR includes information on adult patients (≥16 years) referred for cardiac CT in Western Denmark. We included all patients registered between January 1, 2008, and December 31, 2012. In addition, we examined separately the subgroup of patients undergoing coronary CTA on suspicion of angina.
Figure 1

Cardiac centers reporting to Western Denmark Cardiac Computed Tomography Registry.

Notes: Color codings indicate the five regions of Denmark. Numbers indicate the cardiac centers reporting to the registry: (1) Vendsyssel Hospital; (2) Aalborg University Hospital; (3) Regional Hospital Herning; (4) Regional Hospital Silkeborg; (5) Aarhus University Hospital (previously comprising two separate cardiac centers); (6) Lillebaelt Hospital-Vejle; (7) Hospital of Southwestern Denmark-Esbjerg; (8) Odense University Hospital; and (9) Odense University Hospital-Svendborg Hospital.

Statistical analysis

Content

We reviewed the variables recorded in the WDHR-CCTR and presented categorical variables using frequencies and proportions, and continuous variables using medians and interquartile ranges.

Completeness

By completeness of data, we refer to the proportion of registrations completed. Data completeness was evaluated at two levels: 1) completeness of procedure registrations and 2) completeness of variable registrations. To estimate completeness of procedure registration, we used the Danish National Patient Registry (DNPR) as reference standard. Since 1977, all admissions to Danish hospitals have been registered in the DNPR using one primary discharge diagnosis and when appropriate secondary discharge diagnoses according to the International Classification of Disease (eighth revision through 1993 and the tenth revision thereafter).8 Outpatient specialty clinic visits have been included in the DNPR since 1995 and diagnostic procedures since 1999.8 Cardiac CT is coded in the DNPR according to the Nordic Medical Statistics Committees Classification of Surgical Procedures (code: UXCC00A).9 The DNPR forms the basis for hospitals financial reimbursement, and hence, the completeness of procedure registrations in the DNPR is likely high. We therefore considered the DNPR an appropriate reference standard. The completeness of procedure registration in the WDHR-CCTR was calculated as the proportion of patients registered with a cardiac CT in the DNPR from hospitals in Western Denmark that was also registered in the WDHR-CCTR.10 Of note, coronary and noncoronary CTAs are not registered separately in the DNPR. Therefore, to evaluate the degree of underregistration of coronary and noncoronary CTAs in the WDHR-CCTR in WDHR-CCTR, we reviewed the medical records from all patients (n=282) who had cardiac CT registered in the DNPR, but not in the WDHR-CCTR during 2008–2012 at Aarhus University Hospital and Lillebaelt Hospital-Vejle. The completeness of the individual variables was calculated as the number of patients with information on the variable divided by the total number of patients registered in the WDHR-CCTR. If patients underwent more than one cardiac CT within the study period, only data from the first procedure were included in the analyses.

Validity

For variable validation, we included only coronary CTAs because it is by far the most common indication for cardiac CT and the only one reported consecutively to the WDHR-CCTR since its establishment. We assessed the validity of the WDHR-CCTR data through review of hospital medical records (both paper and electronic files). A computer-generated random sample of 250 patients from five different centers (50 patients from each center) was drawn. We selected patients from both university (Aarhus, Aalborg, and Odense) and nonuniversity cardiac centers (Lillebaelt Hospital-Vejle and Hospital of Southwestern Denmark-Esbjerg). Within each cardiac center, patients were selected randomly regardless of whether data were missing on one or more variables. Correlating with the increasing number of procedures performed since 2008, the random sample included 4.8% of all patients from 2008, 13.6% from 2009, 26.0% from 2010, 26.4% from 2011, and 29.2% from 2012. For each procedure, we selected 19 main patient and procedure variables (Table S1). One clinician (LHN) reviewed all medical records. During validation, one of three outcomes was recorded: confirmed by medical record, not confirmed by medical record, or missing in medical record. To facilitate calculation of predictive values also for continuous variables and variables with more than two categories, the registry data were considered confirmed in the medical records only when there was an exact match between the variable values in the registry and medical records. We considered the procedure date correct if the differences between the dates in the WDHR-CCTR and the medical records were <1 week. We constructed a 2×2 table with results for the true-positive, false-positive, false-negative, and true-negative scores, enabling calculation of positive predictive values (PPVs) and negative predictive values (NPVs) for each variable. PPV was defined as the number of true positives/(number of true positives + number of false positives). NPV was defined as the number of true negatives/(number of true negatives + number of false negatives). We used Wilson’s score methods to calculate confidence intervals (CIs).11 Patients with missing information in the medical files on a specific variable were omitted from the calculation of PPV and NPV. However, because missingness potentially could be associated with the accuracy of variable registration, we repeated the analyses by including all missing medical records as confirmed (best-case scenario) and nonconfirmed (worst-case scenario) cases in the calculations. Finally, we stratified the predictive values by cardiac center status and calendar year. All analyses were performed with STATA (version 13.0). The present study was approved by the Danish Data Protection Agency (2008-58-0035), and the National Board of Health (Department of Monitoring and Patient Safety) approved access to medical records (3-3013-377).

Results

Content

During 2008–2012, we identified 21,623 patients registered with a cardiac CT in the WDHR-CCTR. Of these, 1.5% underwent more than one procedure. Among all patients, 18,899 patients underwent a coronary CTA (87%). The annual number of patients examined by coronary CTA increased from 369 patients in 2008 to 6,454 patients in 2012. The characteristics of the cardiac CT and the coronary CTA cohorts are provided in Table 1.
Table 1

Patient characteristics and variable completeness in the Western Denmark Cardiac Computed Tomography Registry, 2008–2012

Frequency of characteristics
Variable completeness, %
Cardiac CT cohort overall(n=21,623)Coronary CTA cohorta(n=18,899)Cardiac CT cohort overallCoronary CTA cohorta
Male sex10,169 (47.0)8,506 (45.0)100100
Age, yearsb58 (50–66)58 (50–66)100100
County97.197.6
Area code97.197.6
Referral date78.777.2
Family history of premature CAD8,044 (37.2)7,353 (38.9)85.782.7
Current lipid-lowering therapy6,589 (30.5)5,883 (31.1)85.685.5
Current medical treatment for hypertension7,400 (34.2)6,532 (34.6)85.585.3
Smoking status (current or former)10,648 (49.2)9,504 (50.3)85.985.8
Diabetes1,208 (5.6)1,035 (5.5)85.985.4
Previous PCI278 (1.3)166 (0.9)85.986.2
Previous cardiac surgery354 (1.6)156 (0.8)85.987.0
Previous myocardial infarction310 (1.4)193 (1.0)85.986.1
Height (cm)b172 (165–178)171 (165–178)79.580.6
Weight (kg)b78 (67–89)78 (67–88)79.880.9
Creatinine level, μmol/Lb73 (64–84)73 (63–83)77.878.8
Systolic blood pressure, mmHgb140 (126–151)140 (126–151)77.678.9
Diastolic blood pressure, mmHgb81 (75–90)81 (75–90)77.578.8
Left ventricular ejection fractionb60 (60–60)60 (60–60)58.259.7
Type of CT scanner98.599.7
Cardiac CT indication99.6100
 Angina/equivalent18,899 (87.4)
 Heart failure292 (1.4)
 Visualization of valves and/or aorta disease239 (1.1)
 Visualization of stents71 (0.3)
 Evaluation of cardiac structures631 (2.9)
 Others1,410 (6.5)
 Unknown81 (0.4)
Angina type (if any)61.470.3
 Typical angina1,764 (9.4)
 Atypical angina5,844 (30.9)
 Unspecific chest pain4,760 (25.2)
 Dyspnea916 (4.8)
 Unknown5,615 (29.7)
Priority93.995.5
 Acute118 (0.5)78 (0.4)
 Subacute860 (4.0)755 (4.0)
 Elective19,317 (89.3)17,209 (91.1)
 Unknown1,328 (6.2)857 (4.5)
Date of procedure100100
Kilo-electron voltb100 (100–120)100 (100–120)97.298.4
Radiation dosecc93.894.8
Iodine concentration, mg/mLb350 (350–370)350 (350–370)93.094.6
Contrast volume, mLb80 (70–90)80 (70–90)92.994.5
Preprocedural beta-blocker13,007 (60.2)11,991 (63.4)93.495.1
Heart rhythm93.595.2
 Sinus rhythm19,855 (91.8)17,794 (94.2)
 Atrial fibrillation266 (1.2)108 (0.6)
 Other106 (0.5)85 (0.4)
 Unknown1,396 (6.5)912 (4.8)
Heart rate, bpmb59 (54–65)59 (54–64)93.495.0
Cardiac CT quality88.990.1
 Good16,120 (74.6)14,304 (75.7)
 Moderate2,170 (10.0)1,897 (10.0)
 Nonevaluable923 (4.3)828 (4.4)
 Unknown2,410 (11.1)1,870 (9.9)
CACS (Agatston) resultb0 (0–95)0 (0–90)87.887.2
Coronary CTA result95.496.2
 Normal13,901 (64.3)12,550 (66.4)
 Nonobstructive CAD2,573 (11.9)2,213 (11.7)
 1-vessel obstructive CAD2,176 (10.1)2,012 (10.6)
 2-vessel obstructive CAD739 (3.4)673 (3.6)
 3-vessel/LM obstructive CAD462 (2.1)312 (1.7)
 Only CACS performed778 (3.6)427 (2.3)
 Unknown994 (4.6)712 (3.7)
Consequence of cardiac CT results86.286.7
 Nothing further9,966 (46.1)8,673 (45.9)
 Medical treatment3,820 (17.7)3,313 (17.5)
 Referral to invasive coronary angiography3,520 (16.3)3,216 (17.0)
 Referral to myocardial perfusion imaging679 (3.1)632 (3.3)
 CACS is too high – referral to further testing199 (0.9)157 (0.8)
 Referral to other noninvasive diagnostic testing461 (2.1)399 (2.1)
 Unknown2,977 (13.8)2,509 (13.4)

Notes:

Patients with angina suspicious symptoms;

values in median ± interquartile range;

was not estimated due to differences in registered dose units.

Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CT, computed tomography; CTA, computed tomography angiography; LM, left main; PCI, percutaneous coronary intervention.

Completeness

Throughout the study period, a consistently higher number of cardiac CTs were registered in the DNPR than in the WDHR-CCTR (Figure 2). The proportion of patients registered with a cardiac CT in the DNPR and who also were registered in the WDHR-CCTR was overall 72% (20,560/28,566) (Figure 3). Thus, 8,006 cardiac CTs were registered in the DNPR, but not in the WDHR-CCTR. The completeness of cardiac CT registration in the WDHR-CCTR improved, however, from 17% (378/2,233) in 2008 to 82% (7,271/8,837) in 2012 (Figure 3).
Figure 2

Number of patients having cardiac computed tomography (CT) registered in the Western Denmark Cardiac Computed Tomography Registry (WDHR-CCTR) and the Danish National Patient Registry (DNPR), 2008–2012.

Figure 3

Proportion of patients having a cardiac computed tomography registered in both the Western Denmark Cardiac Computed Tomography Registry (WDHR-CCTR) and the Danish National Patient Registry (DNPR) during 2008–2012.

The medical record review of the cardiac CTs registered in the DNPR but not in the WDHR-CCTR revealed that 79% (192/244) of the procedures at Aarhus University Hospital and 66% (25/38) at Lillebaelt Hospital-Vejle were performed on indications other than for coronary assessment in symptomatic patients (overall 77%). These indications included coronary CTA in asymptomatic patients (heart failure and preoperative evaluation) and evaluation of cardiac anatomy (congenital heart disease, planning of electrophysiological procedures, or trans-catheter aortic valve replacement). Among the later procedures, approximately two-thirds were performed as part of research projects. Assuming the proportion of missing coronary CTA procedures in our sample (23%) could be extrapolated to all 8,006 missing cardiac CTs in the WDHR-CCTR, the completeness of coronary CTA procedures reported to the WDHR-CCTR registry was approximately 91% (18,899/(18,899 + 1,841)). A secondary finding from the medical record review was that all the cardiac CTs registered in the DNPR had actually been performed (282/282), yielding a PPV for cardiac CT in the DNPR of 100% (95% CI: 98.7%–100%). The completeness of individual variables is shown in Table 1. The completeness ranged from 60% for the registration of left ventricular ejection fraction to 100% for CPR number, sex, age, and date of procedure. The completeness was ≥85% in more than two-thirds (71%) of all variables.

Validity

All 250 medical records requested from the five selected cardiac centers were available for review and thus were included in the validation. The variables and reference standards used for the validation are provided in Table S2. Patients in the random sample had a higher prevalence of diabetes mellitus when compared with the total coronary CTA cohort. Otherwise, the patient and CT procedural characteristics were similar to the overall coronary CTA cohort, indicating that the random sample was representative (Table S3). Among the 250 patients, 61% (152/250) had complete data without missing values of any variables. A total of 7% (349/4,750) of variable values were missing in the WDHR-CCTR, of which 45% (157/349) also were missing in the medical records. The PPV ranged from 89% (95% CI: 81%–94%) for family history of premature CAD to 100% for previous cardiac surgery (95% CI: 21%–100%) and coronary CTA indication (95% CI: 98.5%–100%) (Table 2).
Table 2

Validity of 19 selected variables recorded in the Western Denmark Cardiac Computed Tomography Registry during 2008–2012 using medical record review as reference standard

True positiveFalse negativeFalse positiveTrue negativePPV, % (95% CI)
NPV, % (95% CI)
Available dataWorst-case scenarioaBest-case scenarioaAvailable dataWorst-case scenarioaBest-case scenarioa
Medical history data36113181,35995.3 (92.6–97.0)89.1 (85.7–91.8)95.6 (93.1–97.2)99.1 (98.4–99.5)96.2 (95.1–97.1)99.1 (98.4–99.5)
Family history of premature CAD743911989.2 (80.7–94.2)76.3 (66.9–83.7)90.7 (83.3–95.0)97.5 (93.0–99.2)95.2 (89.9–97.8)97.6 (93.2–97.8)
Current lipid-lowering therapy741214397.4 (90.9–99.3)93.7 (86.0–97.3)97.5 (91.2–99.3)99.3 (96.2–99.9)96.6 (92.3–98.6)99.0 (96.3–99.9)
Current medical treatment for hypertension773413595.1 (88.0–98.1)91.7 (83.8–95.9)95.2 (88.4–98.1)97.8 (93.8–99.3)94.4 (89.4–97.1)97.9 (94.0–99.3)
Smoking status (current/former)122328998.4 (94.3–99.6)93.9 (88.3–96.9)98.5 (94.6–99.6)96.7 (90.9–99.9)90.8 (83.5–95.1)96.9 (91.4–99.0)
Diabetes131120692.9 (66.5–98.7)92.9 (66.5–98.7)92.9 (66.5–98.7)99.5 (97.3–99.9)96.7 (93.4–98.8)99.5 (97.4–99.9)
Previous PCI000223100 (98.3–100)97.4 (94.4–98.8)100 (98.4–100)
Previous cardiac surgery120221100 (20.6–100)100 (20.6–100)100 (20.6–100)99.1 (97.5–99.9)96.5 (93.3–98.2)99.1 (96.9–99.8)
Previous myocardial infarction000223100 (98.3–100)97.8 (95.0–99.1)100 (98.3–100)
Procedure datab2,1856297.2 (96.5–97.8)84.8 (83.4–86.2)97.6 (96.9–98.1)
Coronary CTA indication (angina/equivalent)250100 (98.5–100)100 (98.5–100)100 (98.5–100)
Date of procedure243793.6 (94.3–96.6)93.6 (94.3–96.6)93.6 (94.3–96.6)
Height73297.3 (90.8–99.3)33.5 (27.6–40.0)99.1 (96.7–99.8)
Weight75198.7 (92.9–99.8)34.4 (28.4–40.9)99.5 (97.5–99.9)
Type of CT scanner243697.6 (94.8–98.9)95.5 (92.1–97.5)95.5 (92.1–97.5)
Kilo-electron volt2321195.5 (92.1–97.5)94.7 (91.1–96.9)95.5 (92.1–97.5)
Radiation dose222597.8 (95.0–99.1)96.5 (93.3–98.2)97.8 (95.0–99.1)
Contrast volume210697.2 (94.1–98.7)86.4 (81.5–90.2)97.5 (94.7–98.9)
CACS result220496.2 (95.5–99.3)94.8 (91.2–97.0)98.3 (95.7–99.3)
Coronary CTA result227995.0 (92.9–98.0)94.6 (91.0–96.8)96.3 (93.0–98.0)
Consequence of the coronary CTA results1901194.5 (90.5–96.9)94.5 (90.5–96.9)94.5 (90.5–96.9)

Notes: The study sample consisted of 250 randomly selected symptomatic patients who underwent coronary CTA at three university and two nonuniversity cardiac centers in Western Denmark. Patients with missing information in the registry or medical records were not included in the analyses.

Worst- and best-case scenarios were calculated assuming that none or all of the missing values in the medical files confirmed the registry data;

the procedure data variables comprise continuous variables and categorical variables with more than two levels. For these variables, PPV was calculated from the proportion of exact matches on the corresponding scale (yes/no).

Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CI, confidence interval; CT, computed tomography; CTA, computed tomography angiography; NPV, negative predictive value; PCI, percutaneous coronary intervention; PPV, positive predictive value.

The NPV (when calculation was possible) ranged from 97% (95% CI: 91%–100%) for smoking status to 100% for previous myocardial infarction (95% CI: 98%–100%) and previous percutaneous coronary intervention (95% CI: 98%–100%) (Table 2). Stratification by university status showed consistently high overall predictive values (PPV/NPV) for both university (96%/99%) and nonuniversity cardiac centers (97%/99%). Less than 9% of the data in the random sample could not be verified from the medical records due to missing information. The variables that were least obtainable from the medical records were height (143/228=62.3%) and weight (142/228=62.3%) (Table 2). With the exception of family history of premature CAD (76%, 95% CI: 76%–84%), height (33.5%, 95% CI: 28%–40%), and weight (34%, 95% CI: 28%–41%), the PPVs remained consistently high also in worst-case scenarios where all missing records were included as nonconfirmed cases. The NPVs also remained high in the worst-case scenarios. Stratification by calendar year (before 2010 vs 2010 and later) showed that the PPV improved for diabetes from 83% (95% CI: 35%–97%) to 100% (95% CI: 69%–100%), for date of procedure from 73% (95% CI: 64%–80%) to 96% (95% CI: 92%–98.5%), and for consequence of coronary CTA from 92% (95% CI: 84%–96%) to 97% (95% CI: 92%–99%). In contrast, the PPV decreased for current medical treatment for hypertension from 97% (95% CI: 86%–99.5%) to 93% (95% CI: 82%–98%) and for kilo-electron volt from 98% (95% CI: 94%–99%) to 93% (95% CI: 88%–96.5%). Over the same period, the NPV for family history of premature CAD increased from 94% (95% CI: 86%–98%) to 100% (95% CI: 94%–100%) and for current medical treatment for hypertension from 96.5% (95% CI: 88%–100%) to 98.8% (95% CI: 93%–100%). For the other variables, the predictive values remained fairly constant over time.

Discussion

In this first review and validation of the WDHR-CCTR, we demonstrated that the registry as of 2012 includes data on approximately 22,000 patients undergoing cardiac CT. Among these, nearly 19,000 were for coronary assessment in patients with symptoms suggestive of CAD. Importantly, the yearly number of procedures and the completeness of data registration have increased consistently since the establishment of the registry in 2008. Although the overall completeness of cardiac CT procedures in the WDHR-CCTR compared with the DNPR was 72%, additional subanalysis indicated that the completeness of coronary CTAs was more than 90%. Although the completeness of individual variables differed substantially, it was high for the vast majority of variables. Finally, we found that the PPV and NPV of most patient and CT procedural variables were high, even when including missing patient files in the analyses as falsely registered in the WDHR-CCTR. Our finding of an increasing use of coronary CTA since 2008 is in accordance with other reports,12 and we expect this increase to continue in years to come. The lower completeness of cardiac CT procedures in the WDHR-CCTR when compared with the DNPR may be explained by the fact that cardiac CT examinations performed as a part of research projects and for planning of noncoronary interventions were not registered until recently in the WDHR-CCTR. In addition, cardiac CT procedures performed in children <16 years are not reported to the WDHR–CCTR. To our knowledge, the only other large population-based cardiac CT registry is the Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter registry (CONFIRM).13 The CONFIRM Registry prospectively enrolls patients and procedural and outcome data from six countries in the world (USA, Germany, Canada, South Korea, Switzerland, and Italy).13 In 2012, the registry comprised more than 27,000 patients undergoing ≥64-slice cardiac CT at 12 centers between 2003 and 2009.14 The CONFIRM registry is thus a valuable source to study the prognostic value of cardiac CT.14–16 However, complete follow-up of patients registered in CONFIRM is not possible,14,15 and outcome data are often collected retrospectively by, eg, telephone contact or email questionnaires.13–16 In comparison, the WDHR-CCTR is a semi-national, multicenter registry with detailed information on indication, patient characteristics, procedural data, CT outcome, and clinical consequence. It is based on data from both university and nonuniversity cardiac centers, making it representative for contemporary real-world cardiac CT practice. Individual-level data linkage (using the CPR number) to the Danish Civil Registration System enables complete patient follow-up with accurate accounting for censoring due to emigration or death.7 Moreover, linkage to other registries provides valuable information on comorbidity, socioeconomic data, and subsequent diagnostic and therapeutic resource utilization (including medication and interventions), clinical events, and mortality.4,6,8,17–19 Although our study overall supports the use of the WDHR-CCTR for research, there are also limitations to be considered. During the study period, the database has continuously been optimized, ie, selected variables have changed from being optional to obligate for reporting to the WDHR-CCTR. These changes in reporting standards may in part explain some of the missing values over time, which reduced the overall completeness of some variables. We also found that although the completeness for radiation dose was greater than 90%, the use and recording of different dose units to the registry may hamper the use of this variable for research. The predictive values for the main patient and procedure variables examined in this study were found to be high. The variables systolic and diastolic blood pressures could be of interest when studying coronary CTA outcomes. Nonetheless, these variables were not validated because blood pressure most often is measured in relation to the cardiac CT examination and registered directly into WDHR-CCTR without further documentation in the medical records.

Conclusion

WDHR-CCTR provides ongoing prospective registration of all cardiac CTs performed in Western Denmark since 2008. Overall, the registry data have a high degree of completeness and validity, making it a valuable tool for clinical epidemiological research. Variables included in the registration forms for the Western Denmark Cardiac Computed Tomography Registry Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CT, computed tomography; CTA, computed tomography angiography; CPR, Civil Personal Register; DLP, dose length product; PCI, percutaneous coronary intervention. Variable values and reference standards used to validate data from the Western Denmark Coronary Computed Tomography Angiography Registry Notes: Reference standard: medical records; reference standard: medical records including imaging reports from working stations. Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CT, computed tomography; CTA, computed tomography angiography; DLP, dose length product; PCI, percutaneous coronary intervention. Characteristics of symptomatic patients in the coronary CTA cohort and patients in the randomly selected sample from the Western Denmark Cardiac Computed Tomography Registry, 2008–2012 Notes: 250 randomly selected symptomatic patients who underwent coronary CTA at three university cardiac centers (Aarhus, Aalborg, and Odense) and two nonuniversity cardiac centers (Lillebaelt Hospital-Vejle and Hospital of Southwestern Denmark-Esbjerg); values in median ± interquartile range; was not estimated due to differences in registered dose units. Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CT, computed tomography; CTA, computed tomography angiography; LM, left main; PCI, percutaneous coronary intervention.
Table S1

Variables included in the registration forms for the Western Denmark Cardiac Computed Tomography Registry

Registration forms
Referral formMedical history formProcedure form
CPR numberFamily history of premature CADType of CT scanner
SexCurrent lipid-lowering therapyCardiac CT indication (angina/equivalent, hear failure, visualization of valves and/or aorta disease, visualization of stents, evaluation of cardiac structures, or others)
CountyCurrent medical treatment for hypertensionAngina type (if any): typical angina, atypical angina, unspecific chest pain, or dyspnea
Area codeSmoking statusPriority (acute, subacute, or elective)
Referral dateDiabetesDate of procedure
Previous PCIKilo-electron volt
Previous cardiac surgeryRadiation dose (DLP)
Previous myocardial infarctionIodine dose (mg)
Height (cm)Contrast volume (mL)
Weight (kg)Contrast manufacturer
Creatinine level (μmol/L)Beta-blocker (if any): name and administration
Systolic and diastolic blood pressures (mmHg)Heart rhythm (sinus rhythm, atrial fibrillation, supraventricular/ventricular premature beats/others)
Left ventricular ejection fraction (%)Heart rate (bpm)
Cardiac devicesVentriculography ejection fraction (%)
Current medical treatmentsCardiac CT quality (good, moderate, or nonevaluable)
Complications (descriptive)
Vessel dominance (balanced, right, or left)
CACS (Agatston score) result
Consequence of CACS results (termination or proceeding to contrast-enhanced cardiac CT)
Coronary CTA result (only CACS was performed, none CAD [0% luminal stenosis], nonobstructive CAD [1%–49% luminal stenosis], obstructive CAD [≥50% luminal stenosis] categorized as: 1-vessel obstructive CAD, 2-vessel obstructive CAD, 3-vessel/left main obstructive CAD)
Consequence of coronary CTA results (none, medical treatment, referral to invasive coronary angiography, referral to myocardial perfusion imaging, referral to other noninvasive diagnostic testing, or other)
Extracardiac findings (descriptive)

Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CT, computed tomography; CTA, computed tomography angiography; CPR, Civil Personal Register; DLP, dose length product; PCI, percutaneous coronary intervention.

Table S2

Variable values and reference standards used to validate data from the Western Denmark Coronary Computed Tomography Angiography Registry

VariablesValues (reference standards for validation)
Family history of premature CADYes/no/unknowna
Current lipid-lowering therapyYes/no/unknowna
Current medical treatment for hypertensionYes/no/unknowna
Smoking statusCurrent/never/former/unknowna
DiabetesNone/recently elevated blood glucose/insulin (± oral antidiabetic treatment)/oral antidiabetic treatment (without insulin)/nonpharmacological treatment/unknowna
Previous PCIYes/no/unknowna
Previous cardiac surgeryYes/no/unknowna
Previous myocardial infarctionYes/no/unknowna
HeightExact height in cma
WeightExact weight in kga
Type of CT scannerSiemens 64-slice/Siemens 64-slice dual-source/Phillips 64-slice/Phillips 256-slice/GE 64-slice/Toshiba 64-slice/Toshiba 320-slice/Siemens Flash GE 750 HD/otherb
Date of procedureDay-month-year (±1 week)b
Kilo-electron voltExact kilo-electron voltb
Radiation doseExact radiation dose in DLP/millisievertb
Contrast volumeExact volume in mLb
CACS resultExact score in Agatstonb
Coronary CTA resultOnly CACS was performed/none CAD (0% luminal stenosis)/nonobstructive CAD (1%–49% luminal stenosis)/obstructive CAD (≥50% luminal stenosis) categorized as 1-vessel obstructive CAD/2-vessel obstructive CAD/3-vessel or left main obstructive CADa
Consequence of coronary CTA resultsNothing further/medical treatment/referral to invasive coronary angiography/referral to myocardial perfusion imaging/referral to other noninvasive diagnostic testing/other

Notes:

Reference standard: medical records;

reference standard: medical records including imaging reports from working stations.

Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CT, computed tomography; CTA, computed tomography angiography; DLP, dose length product; PCI, percutaneous coronary intervention.

Table S3

Characteristics of symptomatic patients in the coronary CTA cohort and patients in the randomly selected sample from the Western Denmark Cardiac Computed Tomography Registry, 2008–2012

Coronary CTA cohort overall(n=18,899)Random samplea(n=250)
Male sex10,169 (53.8)107 (42.8)
Age, yearsb58 (50–66)56.5 (48–63)
Family history of premature CAD7,353 (38.9)97 (38.8)
Current lipid-lowering therapy5,883 (31.1)79 (31.6)
Current medical treatment for hypertension6,532 (34.6)84 (33.6)
Smoking status (current or former)9,504 (50.3)131 (52.4)
Diabetes1,035 (5.5)33 (13.2)
Previous PCI166 (0.9)0
Previous cardiac surgery156 (0.8)1 (0.4)
Previous myocardial infarction193 (1.0)0
Height (cm)b171 (165–178)171 (158–184)
Weight (kg)b78 (67–88)78 (56–100)
Creatinine level, μmol/Lb73 (63–83)72 (55–89)
Systolic blood pressure, mmHgb140 (126–151)138 (112–164)
Diastolic blood pressure, mmHgb81 (75–90)80 (65–95)
Left ventricular ejection fractionb60 (60–60)60 (60–60)
Angina type (if any)
 Typical angina1,764 (9.4)22 (8.8)
 Atypical angina5,844 (30.9)78 (31.2)
 Unspecific chest pain4,760 (25.2)58 (23.2)
 Dyspnea916 (4.8)8 (3.2)
 Unknown5,615 (29.7)84 (33.6)
Priority
 Acute78 (0.4)2 (0.8)
 Subacute755 (4.0)2 (0.8)
 Elective17,209 (91.1)230 (92.0)
 Unknown857 (4.5)16 (6.4)
Kilo-electron voltb100 (100–120)120 (100–120)
Radiation dosecc
Iodine concentration, mg/mLb350 (350–370)370 (350–370)
Contrast volume, mLb80 (70–90)77.5 (70–90)
Preprocedural beta-blocker11,991 (63.4)164 (65.6)
Heart rhythm
 Sinus rhythm17,794 (94.2)229 (91.6)
 Atrial fibrillation108 (0.6)2 (0.8)
 Other85 (0.4)2 (0.8)
 Unknown912 (4.8)17 (6.8)
Heart rate (bpm)b59 (54–64)60 (55–65)
Cardiac CT quality
 Good14,304 (75.7)184 (73.6)
 Moderate1,897 (10.0)20 (8.0)
 Nonevaluable828 (4.4)18 (7.2)
 Unknown1,870 (9.9)28 (11.2)
CACS (Agatston) resultb0 (0–90)0 (0–75)
Coronary CTA result
 Normal12,550 (66.4)164 (65.6)
 Nonobstructive CAD2,213 (11.7)39 (15.6)
 1-vessel obstructive CAD2,012 (10.6)19 (7.6)
 2-vessel obstructive CAD673 (3.6)7 (2.8)
 3-vessel/LM obstructive CAD312 (1.7)6 (2.4)
 Only CACS performed427 (2.3)6 (2.4)
 Unknown712 (3.7)9 (3.6)
Consequence of coronary CTA results
 Nothing further8,673 (45.9)96 (38.4)
 Medical treatment3,313 (17.5)39 (15.6)
 Referral to invasive coronary angiography3,216 (17.0)42 (16.8)
 Referral to myocardial perfusion imaging632 (3.3)10 (4.0)
 CACS is too high – referral to further testing157 (0.8)1 (0.4)
 Referral to other noninvasive diagnostic testing399 (2.1)9 (3.6)
 Unknown2,509 (13.4)53 (21.2)

Notes:

250 randomly selected symptomatic patients who underwent coronary CTA at three university cardiac centers (Aarhus, Aalborg, and Odense) and two nonuniversity cardiac centers (Lillebaelt Hospital-Vejle and Hospital of Southwestern Denmark-Esbjerg);

values in median ± interquartile range;

was not estimated due to differences in registered dose units.

Abbreviations: CACS, coronary artery calcium scoring; CAD, coronary artery disease; CT, computed tomography; CTA, computed tomography angiography; LM, left main; PCI, percutaneous coronary intervention.

  14 in total

1.  Why all the focus on cardiac imaging?

Authors:  Leslee J Shaw; Thomas H Marwick; William A Zoghbi; W Gregory Hundley; Christopher M Kramer; Stephan Achenbach; Vasken Dilsizian; Morton J Kern; Y Chandrashekhar; Jagat Narula
Journal:  JACC Cardiovasc Imaging       Date:  2010-07

2.  Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease.

Authors:  James K Min; Allison Dunning; Fay Y Lin; Stephan Achenbach; Mouaz Al-Mallah; Matthew J Budoff; Filippo Cademartiri; Tracy Q Callister; Hyuk-Jae Chang; Victor Cheng; Kavitha Chinnaiyan; Benjamin J W Chow; Augustin Delago; Martin Hadamitzky; Joerg Hausleiter; Philipp Kaufmann; Erica Maffei; Gilbert Raff; Leslee J Shaw; Todd Villines; Daniel S Berman
Journal:  J Am Coll Cardiol       Date:  2011-08-16       Impact factor: 24.094

3.  2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology.

Authors:  Gilles Montalescot; Udo Sechtem; Stephan Achenbach; Felicita Andreotti; Chris Arden; Andrzej Budaj; Raffaele Bugiardini; Filippo Crea; Thomas Cuisset; Carlo Di Mario; J Rafael Ferreira; Bernard J Gersh; Anselm K Gitt; Jean-Sebastien Hulot; Nikolaus Marx; Lionel H Opie; Matthias Pfisterer; Eva Prescott; Frank Ruschitzka; Manel Sabaté; Roxy Senior; David Paul Taggart; Ernst E van der Wall; Christiaan J M Vrints; Jose Luis Zamorano; Stephan Achenbach; Helmut Baumgartner; Jeroen J Bax; Héctor Bueno; Veronica Dean; Christi Deaton; Cetin Erol; Robert Fagard; Roberto Ferrari; David Hasdai; Arno W Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Patrizio Lancellotti; Ales Linhart; Petros Nihoyannopoulos; Massimo F Piepoli; Piotr Ponikowski; Per Anton Sirnes; Juan Luis Tamargo; Michal Tendera; Adam Torbicki; William Wijns; Stephan Windecker; Juhani Knuuti; Marco Valgimigli; Héctor Bueno; Marc J Claeys; Norbert Donner-Banzhoff; Cetin Erol; Herbert Frank; Christian Funck-Brentano; Oliver Gaemperli; José R Gonzalez-Juanatey; Michalis Hamilos; David Hasdai; Steen Husted; Stefan K James; Kari Kervinen; Philippe Kolh; Steen Dalby Kristensen; Patrizio Lancellotti; Aldo Pietro Maggioni; Massimo F Piepoli; Axel R Pries; Francesco Romeo; Lars Rydén; Maarten L Simoons; Per Anton Sirnes; Ph Gabriel Steg; Adam Timmis; William Wijns; Stephan Windecker; Aylin Yildirir; Jose Luis Zamorano
Journal:  Eur Heart J       Date:  2013-08-30       Impact factor: 29.983

Review 4.  A framework for evaluation of secondary data sources for epidemiological research.

Authors:  H T Sorensen; S Sabroe; J Olsen
Journal:  Int J Epidemiol       Date:  1996-04       Impact factor: 7.196

5.  Incremental prognostic value of cardiac computed tomography in coronary artery disease using CONFIRM: COroNary computed tomography angiography evaluation for clinical outcomes: an InteRnational Multicenter registry.

Authors:  Benjamin J W Chow; Gary Small; Yeung Yam; Li Chen; Stephan Achenbach; Mouaz Al-Mallah; Daniel S Berman; Matthew J Budoff; Filippo Cademartiri; Tracy Q Callister; Hyuk-Jae Chang; Victor Cheng; Kavitha M Chinnaiyan; Augustin Delago; Allison Dunning; Martin Hadamitzky; Jörg Hausleiter; Philipp Kaufmann; Fay Lin; Erica Maffei; Gilbert L Raff; Leslee J Shaw; Todd C Villines; James K Min
Journal:  Circ Cardiovasc Imaging       Date:  2011-07-05       Impact factor: 7.792

6.  The Danish Register of Causes of Death.

Authors:  Karin Helweg-Larsen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

7.  The Danish Cancer Registry.

Authors:  Marianne Lundkjær Gjerstorff
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

8.  Existing data sources for clinical epidemiology: The Western Denmark Heart Registry.

Authors:  Morten Schmidt; Michael Maeng; Carl-Johan Jakobsen; Morten Madsen; Leif Thuesen; Per Hostrup Nielsen; Hans Erik Bøtker; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

Review 9.  The Danish Civil Registration System as a tool in epidemiology.

Authors:  Morten Schmidt; Lars Pedersen; Henrik Toft Sørensen
Journal:  Eur J Epidemiol       Date:  2014-06-26       Impact factor: 8.082

10.  Existing data sources for clinical epidemiology: The Danish National Database of Reimbursed Prescriptions.

Authors:  Sigrun Alba Johannesdottir; Erzsébet Horváth-Puhó; Vera Ehrenstein; Morten Schmidt; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2012-11-12       Impact factor: 4.790

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1.  German cardiac CT registry: indications, procedural data and clinical consequences in 7061 patients undergoing cardiac computed tomography.

Authors:  Mohamed Marwan; Stephan Achenbach; Grigorios Korosoglou; Axel Schmermund; Steffen Schneider; Oliver Bruder; Jörg Hausleiter; Stephen Schroeder; Sebastian Barth; Sebastian Kerber; Alexander Leber; Werner Moshage; Jochen Senges
Journal:  Int J Cardiovasc Imaging       Date:  2017-12-01       Impact factor: 2.357

2.  Single-centre cohort study of gender influence in coronary CT angiography in patients with a low to intermediate pretest probability of coronary heart disease.

Authors:  Kirsten Schou Nørgaard; Christin Isaksen; Jørgen Selmer Buhl; Jane Kirk Johansen; Agnete Hedemann Nielsen; Aage Nørgaard; Grazina Urbonaviciene; Jes S Lindholt; Lars Frost
Journal:  Open Heart       Date:  2015-07-15

Review 3.  The Danish Heart Registry.

Authors:  Cengiz Özcan; Knud Juel; Jens Flensted Lassen; Lene Mia von Kappelgaard; Poul Erik Mortensen; Gunnar Gislason
Journal:  Clin Epidemiol       Date:  2016-10-25       Impact factor: 4.790

4.  The completeness of chest X-ray procedure codes in the Danish National Patient Registry.

Authors:  Peter Hjertholm; Kaare Rud Flarup; Louise Mahncke Guldbrandt; Peter Vedsted
Journal:  Clin Epidemiol       Date:  2017-03-06       Impact factor: 4.790

5.  Diagnostic performance of an acoustic-based system for coronary artery disease risk stratification.

Authors:  Simon Winther; Louise Nissen; Samuel Emil Schmidt; Jelmer Sybren Westra; Laust Dupont Rasmussen; Lars Lyhne Knudsen; Lene Helleskov Madsen; Jane Kirk Johansen; Bjarke Skogstad Larsen; Johannes Jan Struijk; Lars Frost; Niels Ramsing Holm; Evald Høj Christiansen; Hans Erik Botker; Morten Bøttcher
Journal:  Heart       Date:  2017-11-09       Impact factor: 5.994

6.  Rheumatoid Arthritis as a Risk Factor for Coronary Artery Calcification and Obstructive Coronary Artery Disease in Patients with Chest Pain: A Registry Based Cross-Sectional Study.

Authors:  Andreas Bugge Tinggaard; Annette de Thurah; Ina Trolle Andersen; Anders Hammerich Riis; Josephine Therkildsen; Simon Winther; Ellen-Margrethe Hauge; Morten Bøttcher
Journal:  Clin Epidemiol       Date:  2020-06-24       Impact factor: 4.790

Review 7.  The Danish National Patient Registry: a review of content, data quality, and research potential.

Authors:  Morten Schmidt; Sigrun Alba Johannesdottir Schmidt; Jakob Lynge Sandegaard; Vera Ehrenstein; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2015-11-17       Impact factor: 4.790

8.  Positive predictive value of cardiac examination, procedure and surgery codes in the Danish National Patient Registry: a population-based validation study.

Authors:  Kasper Adelborg; Jens Sundbøll; Troels Munch; Trine Frøslev; Henrik Toft Sørensen; Hans Erik Bøtker; Morten Schmidt
Journal:  BMJ Open       Date:  2016-12-09       Impact factor: 2.692

9.  Myocardial Perfusion Imaging Versus Computed Tomography Angiography-Derived Fractional Flow Reserve Testing in Stable Patients With Intermediate-Range Coronary Lesions: Influence on Downstream Diagnostic Workflows and Invasive Angiography Findings.

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10.  Risk of major adverse cardiovascular events among patients with rheumatoid arthritis after initial CT-based diagnosis and treatment.

Authors:  Annette de Thurah; Ina Trolle Andersen; Andreas Bugge Tinggaard; Anders Hammerich Riis; Josephine Therkildsen; Hans Erik Bøtker; Morthen Bøttcher; Ellen-Margrethe Hauge
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