| Literature DB >> 20524070 |
Guenter Pilz1, Pankaj A Patel, Ulrich Fell, Joseph A Ladapo, John A Rizzo, Hai Fang, Candace Gunnarsson, Tobias Heer, Berthold Hoefling.
Abstract
The health and economic implications of new imaging technologies are increasingly relevant policy issues. Cardiac magnetic resonance imaging (CMR) is currently not or not sufficiently reimbursed in a number of countries including Germany, presumably because of a limited evidence base. It is unknown, however, whether it can be effectively used to facilitate medical decision-making and reduce costs by serving as a gatekeeper to invasive coronary angiography. We investigated whether the application of CMR in patients suspected of having coronary artery disease (CAD) reduces costs by averting referrals to cardiac catheterization. We used propensity score methods to match 218 patients from a CMR registry to a previously studied cohort in which CMR was demonstrated to reliably identify patients who were low-risk for major cardiac events. Covariates over which patients were matched included comorbidity profiles, demographics, CAD-related symptoms, and CAD risk as measured by Morise scores. We determined the proportion of patients for whom cardiac catheterization was deferred based upon CMR findings. We then calculated the economic effects of practice pattern changes using data on cardiac catheterization and CMR costs. CMR reduced the utilization of cardiac catheterization by 62.4%. Based on estimated catheterization costs of € 619, the utilization of CMR as a gatekeeper reduced per-patient costs by a mean of € 90. Savings were realized until CMR costs exceeded € 386. Cost savings were greatest for patients at low-risk for CAD, as measured by baseline Morise scores, but were present for all Morise subgroups with the exception of patients at the highest risk of CAD. CMR significantly reduces the utilization of cardiac catheterization in patients suspected of having CAD. Per-patient savings range from € 323 in patients at lowest risk of CAD to € 58 in patients at high-risk but not in the highest risk stratum. Because a negative CMR evaluation has high negative predictive value, its application as a gatekeeper to cardiac catheterization should be further explored as a treatment option.Entities:
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Year: 2010 PMID: 20524070 PMCID: PMC3035783 DOI: 10.1007/s10554-010-9645-9
Source DB: PubMed Journal: Int J Cardiovasc Imaging ISSN: 1569-5794 Impact factor: 2.357
Fig. 1Stress CMR—pathological findings. Short axis views of a normal first-pass perfusion under rest (a) but severe infero-septal ischemia under adenosine-stress (b) and non-transmural scar detection my means of LGE (c). Subsequent coronary angiography revealed chronic occlusion of the right coronary artery (d)
Fig. 2Indications for CMR exams. Registry data on 605 consecutive patients
Descriptive statistics
| Variables | Meana |
| |||
|---|---|---|---|---|---|
| Follow up | Matched gatekeeper | ||||
|
|
| ||||
| Morise score | 13.85 | (3.8) | 14.2 | (3.0) | 0.19 |
| CAD-related clinical presentation | 0.45 | ||||
| Anginal symptoms | 69.7 | % | 64.7 | % | |
| Pathological stress test | 3.7 | % | 5.5 | % | |
| Arrhythmia/risk factors | 26.6 | % | 29.8 | % | |
| Angina CCSc | 1.79 | (0.59) | 1.77 | (0.57) | 0.72 |
| Age | 63.2 | (12.9) | 62.9 | (13.7) | 0.83 |
| BMI | 26.8 | (4.6) | 26.4 | (4.7) | 0.47 |
| Male | 56.0 | % | 55.1 | % | 0.85 |
| Dyslipidemia††† | 36.7 | % | 33.9 | % | 0.55 |
| Diabetes†† | 8.7 | % | 9.6 | % | 0.74 |
| Hypertension† | 68.4 | % | 68.8 | % | 0.92 |
| Smoker | 35.3 | % | 34.4 | % | 0.84 |
† Systolic blood pressure >140 mm Hg and/or diastolic blood pressure >90 mm Hg
†† Fasting plasma glucose of >126 mg/dl or 2-h postload glucose of >200 mg/dl or symptoms of diabetes mellitus and random plasma concentration of >200 mg/dl
††† Known total cholesterol >250 mg/dl or long-term treatment with a lipid-lowering agent
a Standard deviations are in parentheses for continuous variables
b Student’s t test for continuous variables and Chi-square test for binary variables
c in symptomatic patients
Fig. 3Stress CMR—normal findings leading to catheterization avoidance in a patient with pre-test risk and clinical presentation comparable to the case in Fig. 1. Short axis views of a normal first-pass perfusion under both rest (a) and adenosine-stress (b) and absence of LGE (c)
Cardiac catheterization avoidance rates
| COHORT | Percent of CATHs avoided |
|---|---|
| All | 62.4 |
| Morise: 0–4 | 100.0 |
| Morise: 5–8 | 85.7 |
| Morise: 9–12 | 66.7 |
| Morise: 13–15 | 64.1 |
| Morise: 16–18 | 57.1 |
| Morise: > 18 | 47.1 |
Net cost analysis*
| COHORT | Net cost savings per patient (in €os) |
|---|---|
| All | 90 |
| Morise: 0–4 | 323 |
| Morise: 5–8 | 235 |
| Morise: 9–12 | 117 |
| Morise: 13–15 | 101 |
| Morise: 16–18 | 58 |
| Morise: >18 | −5 |
*Based on catheterization costs of €619 (see “Appendix” and Lit 14) and CMR costs of €296 (see Lit 15)
Sensitivity analysis
| Model input | +20% | −20% |
|---|---|---|
| CATH avoidance rate | ||
| All | 167 | 13 |
| Morise: 0–4 | 323 | 199 |
| Morise: 5–8 | 323 | 128 |
| Morise: 9–12 | 199 | 34 |
| Morise: 13–15 | 180 | 22 |
| Morise: 16–18 | 128 | −16 |
| Morise: >18 | 54 | −63 |
| CATH cost | ||
| All | 167 | 13 |
| Morise: 0–4 | 447 | 199 |
| Morise: 5–8 | 341 | 128 |
| Morise: 9–12 | 199 | 34 |
| Morise: 13–15 | 180 | 22 |
| Morise: 16–18 | 128 | −16 |
| Morise: >18 | 54 | −63 |
| CMR cost | ||
| All | 30 | 149 |
| Morise: 0–4 | 264 | 382 |
| Morise: 5–8 | 175 | 294 |
| Morise: 9–12 | 57 | 176 |
| Morise: 13–15 | 42 | 160 |
| Morise: 16–18 | −2 | 117 |
| Morise: >18 | −64 | 55 |