{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T11:20:30Z","timestamp":1783164030879,"version":"3.54.6"},"reference-count":81,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T00:00:00Z","timestamp":1781136000000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Cardiology"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>QT prolongation causes torsades de pointes sudden death from heritable, pharmacologic, metabolic, nutritional triggers. Its dimensions have been studied separately. This integrative review synthesizes research on molecular pathogenesis, acquired\/metabolic\/nutritional risks, clinical stratification, therapy, and AI prediction. Dual\u2010function channel mutations and post\u2010translational defects underlie congenital LQTS beyond classic three genes. Drug\u2013gene\u2013metabolic interactions amplify acquired risk; insulin resistance, NAFLD, and adiposity are independent risk factors. Nutritional exposures (grapefruit juice, licorice, energy drinks) compound arrhythmic risk. QTc threshold alone is insufficient; T\u2010wave morphology, genotype, electromechanical window dynamics, and M\u2010FACT score add prognostic value. Nonpenetrant LQTS carries near\u2010population\u2010level event risk. Genotype\u2010targeted mexiletine and left cardiac sympathetic denervation are validated alternatives. Machine learning outperforms clinical scores; deep learning distinguishes congenital from acquired QT prolongation on ECG. Precision QT management requires integrated strategies including nutritional and metabolic determinants, QTc measurement, and AI\u2010enhanced prediction. Prospective data remain essential before algorithmic tools guide decisions.<\/jats:p>","DOI":"10.1002\/clc.70370","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T12:02:37Z","timestamp":1781179357000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["From Molecules to Machines: An Integrative Framework Linking Molecular Pathogenesis, Multi\u2010Factorial Risk, Risk Stratification, Clinical Management, and Artificial Intelligence in QT Prolongation and Sudden Cardiac Death"],"prefix":"10.1002","volume":"49","author":[{"given":"Mojtaba","family":"Farjam","sequence":"first","affiliation":[{"name":"Noncommunicable Diseases Research Center Fasa University of Medical Sciences Fasa Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Hosein","family":"Yazdanpanah","sequence":"additional","affiliation":[{"name":"Center for Cardiac Arrhythmias, Massachusetts 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