{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T06:24:57Z","timestamp":1777616697619,"version":"3.51.4"},"reference-count":24,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,8,28]],"date-time":"2020-08-28T00:00:00Z","timestamp":1598572800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cardiology Research and Practice"],"published-print":{"date-parts":[[2020,8,28]]},"abstract":"<jats:p><jats:italic>Objectives<\/jats:italic>. It is important to identify super-responders who can derive most benefits from cardiac resynchronization therapy (CRT). We aimed to establish a scoring model that can be used for predicting super-response to CRT. <jats:italic>Methods<\/jats:italic>. We retrospectively reviewed 387 CRT patients. Multivariate logistic regression analysis was performed to identify predictors for super-response (defined as an absolute increase in left ventricular ejection fraction of \u226515% at 6-month follow-up) and to create a score model. Multivariate Cox proportional-hazard regression analysis was conducted to assess associations with the long-term endpoint (defined as cardiac death\/heart transplant, heart failure (HF) hospitalization, or all-cause death) across the score categories at follow-up. <jats:italic>Results<\/jats:italic>. Among 387 patients, 109 (28.2%) met super-response. In multivariable analysis, 5 independent predictors (QQ-LAE) were identified: prior no fragmented QRS (odds ratio (OR)\u2009=\u20093.10 (1.39, 6.94)), QRS duration \u2265170\u2009ms (OR\u2009=\u20092.37 (1.35, 4.12)), left bundle branch block (OR\u2009=\u20092.57 (1.04, 6.37)), left atrial diameter &lt;45\u2009mm (OR\u2009=\u20093.27 (1.81, 5.89)), and left ventricular end-diastolic dimension &lt;75\u2009mm (OR\u2009=\u20094.11 (1.99, 8.48)). One point was attributed to each predictor, and three score categories were identified. The proportion of super-response after 6-month CRT implantation in patients with scores 0\u20133, 4, and 5 was 14.6%, 40.3%, and 64.1%, respectively (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mi>P<\/mml:mi><mml:mo>&lt;<\/mml:mo><mml:mn>0.001<\/mml:mn><\/mml:math>). Patients with score 5 had an 88% reduction in the risk of cardiac death\/heart transplant (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>P<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.042<\/mml:mn><\/mml:math>), a 71% reduction in the risk of HF hospitalization (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\"><mml:mi>P<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.048<\/mml:mn><\/mml:math>), and an 89% reduction in the risk of all-cause mortality (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\"><mml:mi>P<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn>0.028<\/mml:mn><\/mml:math>) compared to patients with scores 0\u20133. <jats:italic>Conclusions<\/jats:italic>. The QQ-LAE score can be used for prediction of super-response to CRT and selection of most suitable patients in clinical practices.<\/jats:p>","DOI":"10.1155\/2020\/3856294","type":"journal-article","created":{"date-parts":[[2020,8,29]],"date-time":"2020-08-29T00:28:51Z","timestamp":1598660931000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["A Predictive Model for Super-Response to Cardiac Resynchronization Therapy: The QQ-LAE Score"],"prefix":"10.1155","volume":"2020","author":[{"given":"Xi","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiran","family":"Hu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China"},{"name":"Department of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Beijing 100070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4014-989X","authenticated-orcid":true,"given":"Wei","family":"Hua","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengwen","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Gu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong-Xia","family":"Niu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li-Gang","family":"Ding","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease, Arrhythmia Center, Fuwai Hospital, 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