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Usefulness of the novel risk estimation software, Heart Risk View, for the prediction of cardiac events in patients with normal myocardial perfusion SPECT.
- Source :
- Annals of Nuclear Medicine; Dec2016, Vol. 30 Issue 10, p716-721, 6p
- Publication Year :
- 2016
-
Abstract
- <bold>Background: </bold>Myocardial perfusion single-photon emission-computed tomography (SPECT) can predict cardiac events in patients with coronary artery disease with high accuracy; however, pseudo-negative cases sometimes occur. Heart Risk View, which is based on the prospective cohort study (J-ACCESS), is a software for evaluating cardiac event probability. <bold>Objectives: </bold>We examined whether Heart Risk View was useful to evaluate the cardiac risk in patients with normal myocardial perfusion SPECT (MPS). <bold>Methods and Results: </bold>We studied 3461 consecutive patients who underwent MPS to detect myocardial ischemia and those who had normal MPS were enrolled in this study (n = 698). We calculated cardiac event probability by Heart Risk View and followed-up for 3.8 ± 2.4 years. The cardiac events were defined as cardiac death, non-fatal myocardial infarction, and heart failure requiring hospitalization. During the follow-up period, 21 patients (3.0 %) had cardiac events. The event probability calculated by Heart Risk View was higher in the event group (5.5 ± 2.6 vs. 2.9 ± 2.6 %, p < 0.001). According to the receiver-operating characteristics curve, the cut-off point of the event probability for predicting cardiac events was 3.4 % (sensitivity 0.76, specificity 0.72, and AUC 0.85). Kaplan-Meier curves revealed that a higher event rate was observed in the high-event probability group by the log-rank test (p < 0.001). <bold>Conclusion: </bold>Although myocardial perfusion SPECT is useful for the prediction of cardiac events, risk estimation by Heart Risk View adds more prognostic information, especially in patients with normal MPS. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09147187
- Volume :
- 30
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Annals of Nuclear Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 119456551
- Full Text :
- https://doi.org/10.1007/s12149-016-1117-4