{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T01:20:22Z","timestamp":1775870422388,"version":"3.50.1"},"reference-count":34,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"8","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circ: Arrhythmia and Electrophysiology"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:sec>\n            <jats:title>BACKGROUND:<\/jats:title>\n            <jats:p>Differentiating wide complex tachycardias (WCTs) into ventricular tachycardia (VT) and supraventricular wide tachycardia via 12-lead ECG interpretation is a crucial but difficult task. Automated algorithms show promise as alternatives to manual ECG interpretation, but direct comparison of their diagnostic performance has not been undertaken.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>METHODS:<\/jats:title>\n            <jats:p>Two electrophysiologists applied 3 manual WCT differentiation approaches (ie, Brugada, Vereckei aVR, and VT score). Simultaneously, computerized data from paired WCT and baseline ECGs were processed by 5 automated WCT differentiation algorithms (WCT Formula, WCT Formula II, VT Prediction Model, Solo Model, and Paired Model). The diagnostic performance of automated algorithms was compared with manual ECG interpretation approaches.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>RESULTS:<\/jats:title>\n            <jats:p>A total of 212 WCTs (111 VT and 101 supraventricular wide tachycardia) from 104 patients were analyzed. WCT Formula demonstrated superior accuracy (85.8%) and specificity (87.1%) compared with Brugada (75.2% and 57.4%, respectively) and Vereckei aVR (65.3% and 36.4%, respectively). WCT Formula II achieved higher accuracy (89.6%) and specificity (85.1%) against Brugada and Vereckei aVR. Performance metrics of the WCT Formula (accuracy 85.8%, sensitivity 84.7%, and specificity 87.1%) and WCT Formula II (accuracy 89.8%, sensitivity 89.6%, and specificity 85.1%) were similar to the VT score (accuracy 84.4%, sensitivity 93.8%, and specificity 74.2%). Paired Model was superior to Brugada in accuracy (89.6% versus 75.2%), specificity (97.0% versus 57.4%), and F1 score (0.89 versus 0.80). Paired Model surpassed Vereckei aVR in accuracy (89.6% versus 65.3%), specificity (97.0% versus 75.2%), and F1 score (0.89 versus 0.74). Paired Model demonstrated similar accuracy (89.6% versus 84.4%), inferior sensitivity (79.3% versus 93.8%), but superior specificity (97.0% versus 74.2%) to the VT score. Solo Model and VT Prediction Model accuracy (82.5% and 77.4%, respectively) was superior to the Vereckei aVR (65.3%) but similar to Brugada (75.2%) and the VT score (84.4%).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>CONCLUSIONS:<\/jats:title>\n            <jats:p>Automated WCT differentiation algorithms demonstrated favorable diagnostic performance compared with traditional manual ECG interpretation approaches.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/circep.123.012663","type":"journal-article","created":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T09:04:00Z","timestamp":1721898240000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":6,"title":["Direct Comparison of Methods to Differentiate Wide Complex Tachycardias: Novel Automated Algorithms Versus Manual ECG Interpretation Approaches"],"prefix":"10.1161","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1585-0633","authenticated-orcid":true,"given":"Sarah","family":"LoCoco","sequence":"first","affiliation":[{"name":"Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, MO (S.L.C., K.M.M., S.S.S., P.S.C., R.G., D.H.C., T.M.M., A.M.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1352-0174","authenticated-orcid":true,"given":"Anthony H.","family":"Kashou","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (A.H.K., A.J.D., S.J.A., C.V.D., P.A.N.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9560-1102","authenticated-orcid":true,"given":"Abhishek J.","family":"Deshmukh","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (A.H.K., A.J.D., S.J.A., C.V.D., P.A.N.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9835-5536","authenticated-orcid":true,"given":"Samuel J.","family":"Asirvatham","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (A.H.K., A.J.D., S.J.A., C.V.D., P.A.N.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8420-4670","authenticated-orcid":true,"given":"Christopher V.","family":"DeSimone","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN (A.H.K., A.J.D., S.J.A., C.V.D., P.A.N.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krasimira M.","family":"Mikhova","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, MO (S.L.C., K.M.M., S.S.S., P.S.C., R.G., D.H.C., T.M.M., A.M.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8287-8543","authenticated-orcid":true,"given":"Sandeep S.","family":"Sodhi","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, MO (S.L.C., K.M.M., S.S.S., P.S.C., R.G., D.H.C., T.M.M., A.M.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phillip S.","family":"Cuculich","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, MO (S.L.C., K.M.M., S.S.S., P.S.C., R.G., D.H.C., T.M.M., A.M.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5528-8097","authenticated-orcid":true,"given":"Rugheed","family":"Ghadban","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, MO (S.L.C., K.M.M., S.S.S., P.S.C., R.G., D.H.C., T.M.M., A.M.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel H.","family":"Cooper","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, MO (S.L.C., K.M.M., S.S.S., P.S.C., R.G., D.H.C., T.M.M., A.M.M.)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1426-9433","authenticated-orcid":true,"given":"Thomas M.","family":"Maddox","sequence":"additional","affiliation":[{"name":"Department of Medicine, Division of 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