{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T18:07:29Z","timestamp":1726250849884},"reference-count":23,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T00:00:00Z","timestamp":1668384000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Echocardiography"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aims<\/jats:title><jats:p>Little is known about whether resting left ventricular global longitudinal strain (GLS) impairment is associated with myocardial perfusion abnormalities evaluated using <jats:sup>13<\/jats:sup>N\u2010ammonia positron emission tomography (<jats:sup>13<\/jats:sup>N\u2010NH<jats:sub>3<\/jats:sub>\u2010PET)\u2010myocardial perfusion imaging (MPI). This study aimed to investigate the correlation between resting GLS and myocardial perfusion parameters in patients with a normal left ventricular ejection fraction (LVEF). We evaluated whether resting GLS can predict myocardial perfusion abnormalities in these patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods and Results<\/jats:title><jats:p>We selected 157 patients with suspected stable angina pectoris who underwent both ATP\u2010stress NH<jats:sub>3<\/jats:sub>\u2010PET\u2010MPI and 2\u2010dimentional speckle tracing echocardiography. All subjects had a preserved LVEF and no known history of myocardial infarction. Patients were stratified into Group N (normal perfusion; summed stress score [SSS], 0\u20133; n\u00a0=\u00a0101), Group M (mildly to moderately abnormal perfusion; SSS, 4\u201311; n\u00a0=\u00a041), or Group S (severely abnormal perfusion; SSS, 12+; n\u00a0=\u00a015). GLS was more impaired as myocardial perfusion abnormality severity increased (\u201317.9\u00a0\u00b1\u00a02.9% for Group N, \u201316.8\u00a0\u00b1\u00a03.1% for Group M, and \u201314.2\u00a0\u00b1\u00a03.5% for Group S; <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a0.001). GLS was weakly but significantly correlated with SSS (R\u00a0=\u00a0.32, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a0.001), summed difference score (R\u00a0=\u00a0.32, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a0.001), and myocardial blood flow during stress (R\u00a0=\u00a0\u20130.27, <jats:italic>p<\/jats:italic>\u00a0&lt;\u00a0.001). Multivariate logistic regression analysis showed that male sex, diabetes mellitus, systolic blood pressure, and GLS were independent predictors of myocardial perfusion abnormality defined as Groups M and S. Additionally, the area under the curve for GLS for detecting myocardial perfusion abnormality was .65, and the optimal cutoff value for GLS was \u201316.5%, with sensitivity and specificity of 59% and 66%, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>In patients with suspected angina pectoris, resting GLS impairment despite a normal LVEF might aid the detection of hemodynamically significant coronary artery disease.<\/jats:p><\/jats:sec>","DOI":"10.1111\/echo.15487","type":"journal-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T03:38:28Z","timestamp":1668483508000},"page":"1555-1562","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Association of resting left ventricular global longitudinal strain with myocardial perfusion abnormalities evaluated by <sup>13<\/sup>N\u2010ammonia positron emission tomography in patients with stable angina pectoris and normal left ventricular ejection fraction"],"prefix":"10.1111","volume":"39","author":[{"given":"Sayuri","family":"Yamabe","sequence":"first","affiliation":[{"name":"Department of Cardiology Fujita Health University School of Medicine  Toyoake Aichi Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akira","family":"Yamada","sequence":"additional","affiliation":[{"name":"Department of Cardiology Fujita Health University School of Medicine  Toyoake Aichi Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuka","family":"Kawada","sequence":"additional","affiliation":[{"name":"Department of Cardiology Fujita Health University School of Medicine  Toyoake Aichi Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sayano","family":"Ueda","sequence":"additional","affiliation":[{"name":"Department of Cardiology Fujita Health University School of Medicine  Toyoake Aichi 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