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This study aims to investigate the impact of coexisting T2DM on left ventricular (LV) deformation and myocardial perfusion in hypertensive individuals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>Seventy hypertensive patients without T2DM [HTN(T2DM\u2212)], forty patients with T2DM [HTN(T2DM+)] and 37 age- and sex-matched controls underwent cardiac magnetic resonance examination. Left ventricular (LV) myocardial strains, including global radial (GRPS), circumferential (GCPS) and longitudinal peak strain (GLPS), and resting myocardial perfusion indices, including upslope, time to maximum signal intensity (TTM), and max signal intensity (MaxSI), were measured and compared among groups by analysis of covariance after adjusting for age, sex, body mass index (BMI) and heart rate followed by Bonferroni\u2019s post hoc test. Backwards stepwise multivariable linear regression analyses were performed to determine the effects of T2DM on LV strains and myocardial perfusion indices in patients with hypertension.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Both GRPS and GLPS deteriorated significantly from controls, through HTN(T2DM\u2212), to HTN(T2DM+) group; GCPS in HTN(T2DM+) group was lower than those in both HTN(T2DM\u2212) and control groups. Compared with controls, HTN(T2DM\u2212) group showed higher myocardial perfusion, and HTN(T2DM+) group exhibited lower perfusion than HTN(T2DM\u2212) group and controls. Multiple regression analyses considering covariates of systolic blood pressure, age, sex, BMI, heart rate, smoking, indexed LV mass and eGFR demonstrated that T2DM was independently associated with LV strains (GRPS:\n                      <jats:italic>p\u2009<\/jats:italic>\n                      =\u20090.002, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.383; GCPS:\n                      <jats:italic>p\u2009<\/jats:italic>\n                      &lt;\u20090.001, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.472; and GLPS:\n                      <jats:italic>p\u2009<\/jats:italic>\n                      =\u20090.002, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.424, respectively) and perfusion indices (upslope:\n                      <jats:italic>p\u2009<\/jats:italic>\n                      &lt;\u20090.001, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.293; TTM:\n                      <jats:italic>p\u2009<\/jats:italic>\n                      &lt;\u20090.001, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.299; and MaxSI:\n                      <jats:italic>p\u2009<\/jats:italic>\n                      &lt;\u20090.001, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.268, respectively) in hypertension. When both T2DM and perfusion indices were included in the regression analyses, both T2DM and TTM were independently associated with GRPS (\n                      <jats:italic>p\u2009<\/jats:italic>\n                      =\u20090.044 and 0.017, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.390) and GCPS (\n                      <jats:italic>p\u2009<\/jats:italic>\n                      =\u20090.002 and 0.001, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.424), and T2DM but not perfusion indices was independently associated with GLPS (\n                      <jats:italic>p\u2009<\/jats:italic>\n                      =\u20090.002, model\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      =\u20090.424).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In patients with hypertension, T2DM had an additive deleterious effect on subclinical LV systolic dysfunction and myocardial perfusion, and impaired myocardial perfusion by coexisting T2DM was associated with deteriorated LV systolic dysfunction.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12933-020-01138-w","type":"journal-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T10:04:13Z","timestamp":1601460253000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["The additive effects of type 2 diabetes mellitus on left ventricular deformation and myocardial perfusion in essential hypertension: a 3.0 T cardiac magnetic resonance study"],"prefix":"10.1186","volume":"19","author":[{"given":"Xue-Ming","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying-Kun","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pei-Lun","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Qing","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Feng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9341-7697","authenticated-orcid":false,"given":"Zhi-Gang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,9,30]]},"reference":[{"issue":"8","key":"1138_CR1","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1056\/NEJMra061889","volume":"356","author":"PG Camici","year":"2007","unstructured":"Camici PG, Crea F. 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