{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T20:56:12Z","timestamp":1769806572041,"version":"3.49.0"},"reference-count":27,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"8","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circulation"],"published-print":{"date-parts":[[2007,8,21]]},"abstract":"<jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Background\u2014<\/jats:italic>\n                    <\/jats:bold>\n                    Quantitative ECG measures of left ventricular mass and repolarization predict outcome in population-based cohorts and patients with hypertension. We assessed the prognostic value of preoperative quantitative electrocardiography in patients who underwent isolated coronary artery bypass grafting.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Methods and Results\u2014<\/jats:italic>\n                    <\/jats:bold>\n                    For 6 years we followed 8166 patients who underwent primary isolated coronary artery bypass grafting between 1990 and 2003, all of whom had routine preoperative ECGs. With use of specialized digital software, quantitative measures were recorded on ventricular rate, P duration, PR interval, QRS duration, QT interval, QRS axis, Sokolow-Lyon and Cornell voltages, and ST-segment depression and slope. There were 1516 deaths. After adjustment for age, gender, clinical characteristics, left ventricular ejection fraction, and other confounders, death was independently predicted by ventricular rate (adjusted hazard ratio [AHR] for 90 versus 60 beats per minute, 1.34; 95% confidence interval [CI], 1.21 to 1.50;\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt;.0001), PR interval (AHR for 200 versus 150 ms, 1.05; 95% CI, 1.00 to 1.10;\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt;.0001), QRS duration (AHR for 120 versus 80 ms, 1.24; 95% CI, 1.07 to 1.44;\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt;.0001), Sokolow-Lyon voltage (AHR for 3.5 versus 1.5 mV, 1.18; 95% CI, 1.05 to 1.31;\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt;.0001), and ST-segment slope (AHR for \u22120.1 versus 0 mV, 1.16; 95% CI, 1.02 to 1.31;\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt;.0001). We derived a quantitative ECG score and demonstrated that, with the exception of age, it was the most powerful predictor of long-term death.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Conclusions\u2014<\/jats:italic>\n                    <\/jats:bold>\n                    Quantitative ECG measures of left ventricular rate, mass, and repolarization are predictive of mortality among patients who underwent isolated coronary artery bypass grafting. These findings suggest that quantitative electrocardiography may be valuable for risk stratification in patients with severe coronary artery disease.\n                  <\/jats:p>","DOI":"10.1161\/circulationaha.107.698019","type":"journal-article","created":{"date-parts":[[2007,8,6]],"date-time":"2007-08-06T21:10:54Z","timestamp":1186434654000},"page":"888-893","update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":13,"title":["Quantitative Measures of Electrocardiographic Left Ventricular Mass, Conduction, and Repolarization, and Long-Term Survival After Coronary Artery Bypass Grafting"],"prefix":"10.1161","volume":"116","author":[{"given":"Michael S.","family":"Lauer","sequence":"first","affiliation":[{"name":"From the Department of Cardiovascular Medicine (M.S.L.), the Department of Thoracic and Cardiovascular Surgery (D.M., H.I., E.H.B.), and the Department of Quantitative Health Sciences (H.I., E.H.B.), The Cleveland Clinic Foundation, and the Department of Epidemiology and Biostatistics (M.S.L.), Case Western Reserve University School of Medicine, Cleveland, Ohio."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Derlis","family":"Martino","sequence":"additional","affiliation":[{"name":"From the Department of Cardiovascular Medicine (M.S.L.), the Department of Thoracic and Cardiovascular Surgery (D.M., H.I., E.H.B.), and the Department of Quantitative Health Sciences (H.I., E.H.B.), The Cleveland Clinic Foundation, and the Department of Epidemiology and Biostatistics (M.S.L.), Case Western Reserve University School of Medicine, Cleveland, Ohio."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hemant","family":"Ishwaran","sequence":"additional","affiliation":[{"name":"From the Department of Cardiovascular Medicine (M.S.L.), the Department of Thoracic and Cardiovascular Surgery (D.M., H.I., E.H.B.), and the Department of Quantitative Health Sciences (H.I., E.H.B.), The Cleveland Clinic Foundation, and the Department of Epidemiology and Biostatistics (M.S.L.), Case Western Reserve University School of Medicine, Cleveland, Ohio."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eugene H.","family":"Blackstone","sequence":"additional","affiliation":[{"name":"From the Department of Cardiovascular Medicine (M.S.L.), the Department of Thoracic and Cardiovascular Surgery (D.M., H.I., E.H.B.), and the Department of Quantitative Health Sciences (H.I., E.H.B.), The Cleveland Clinic Foundation, and the Department of Epidemiology and Biostatistics (M.S.L.), Case Western Reserve University School of Medicine, Cleveland, Ohio."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"276","reference":[{"key":"e_1_3_2_1_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.HYP.0000118585.73688.c6"},{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.90.4.1786"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.292.19.2343"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1067\/mhj.2002.122516"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-71-1-89"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.281.6.530"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.HYP.0000125230.46080.c6"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1378\/chest.122.2.528"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(97)07062-1"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.103.19.2346"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.75.3.565"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0735-1097(99)00250-8"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.289.19.2575"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.284.11.1392"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.1997.0040233"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1958.10501452"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"e_1_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Harrell FE Jr. Regression Modeling Strategies: With Applications to Linear Models Logistic Regression and Survival Analysis. 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