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1.
J Nucl Cardiol ; 22(1): 9-15, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25084975

ABSTRACT

BACKGROUND: Appropriate use criteria for myocardial perfusion imaging (MPI) were developed to categorize scenarios where MPI might be beneficial (appropriate) or not (inappropriate). Few investigations have evaluated the clinical utility of this categorization strategy, particularly with positron emission tomography (PET) MPI. METHODS AND RESULTS: We conducted this retrospective cohort investigation in a Veterans Affairs (VA) medical center, on predominantly male subjects who underwent PET-MPI. We correlated appropriateness to test result and cardiovascular events. Of 521 subjects, 414 (79.5%) were appropriate, 54 (10.4%) were uncertain, and 53 (10.2%) were inappropriate. PET-MPI was abnormal more often when appropriate or uncertain (28% and 34.6%, respectively, vs 7.7% for inappropriate, P = .003). Among abnormal inappropriate tests, none detected occult ischemia. By Cox regression, summed difference score ≥5 (HR 5.06, 95% CI 2.72-9.44) and an abnormal test result (HR 4.48, 95% CI 2.19-9.14) were associated with higher likelihood of catheterization. Log-rank analysis demonstrated similar likelihood of catheterization when comparing abnormal vs normal test result (P < .0001) and between appropriate, uncertain, and inappropriate tests (P = .024). CONCLUSIONS: Inappropriate PET-MPI was rarely abnormal, associated with low catheterization rates, and failed to detect occult ischemia for any subjects. The clinical utility of inappropriate PET-MPI is negligible.


Subject(s)
Health Services Misuse , Myocardial Perfusion Imaging , Positron-Emission Tomography , Aged , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/diagnostic imaging , Female , Humans , Kaplan-Meier Estimate , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies , Treatment Outcome
2.
J Nucl Cardiol ; 21(3): 598-604, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24671699

ABSTRACT

BACKGROUND: Inappropriate use of myocardial perfusion imaging (MPI) may vary depending on the training, specialty, or practice location of the clinician. METHODS: We conducted a cross-sectional investigation of consecutive patients who underwent MPI at our Veterans Affairs medical center between December 2010 and July 2011. Characteristics of the MPI ordering clinicians were extracted to investigate any associations with inappropriate use. RESULTS: 582 patients were included, 9.8% were inappropriate. No difference in inappropriate use was observed between cardiology and non-cardiology clinicians (n = 21, 9.5% vs n = 36, 10.0%, P = .83); no difference was noted between nurse practitioners/physician assistants, attending physicians, and housestaff (7.5% vs 11.2% vs 1.8%, P = .06). Comparing inpatient, emergency department and outpatient clinician groups, the difference was null (8.6% vs 6.3% vs 10.1%, P = .75). For most clinician groups, the most common inappropriate indication was an asymptomatic scenario; however, some groups were different: definite acute coronary syndrome for inpatient clinicians and low risk syncope for emergency medicine clinicians. CONCLUSIONS: Clinician groups appear to order inappropriate MPI at similar rates, regardless of their training, specialty, or practice location. Differences in the most common type of inappropriate testing suggest that interventions to reduce inappropriate use should be tailored to specific clinician types.


Subject(s)
Clinical Competence/statistics & numerical data , Coronary Artery Disease/diagnostic imaging , Coronary Artery Disease/epidemiology , Medical Staff/statistics & numerical data , Myocardial Perfusion Imaging/statistics & numerical data , Practice Patterns, Physicians'/statistics & numerical data , Unnecessary Procedures/statistics & numerical data , Adult , Aged , Aged, 80 and over , Female , Florida/epidemiology , Hospital Departments/statistics & numerical data , Humans , Male , Medicine/statistics & numerical data , Middle Aged , Observer Variation , Prevalence , Utilization Review , Veterans Health/statistics & numerical data
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