{"doi":"10.1111/anec.12958","title":"Optimizing <scp>ECG</scp> lead selection for detection of prolongation of ventricular repolarization as measured by the Tpeak‐end interval","abstract":"BACKGROUND: The Tpeak-end(Tp-e) has not been compared in all 12 ECG leads in healthy adults to determine if the Tp-e varies across leads. If there is variation, it remains uncertain, which lead(s) are preferred for recording in order to capture the maximal Tp-e value. OBJECTIVE: The purpose of the current study was to determine the optimal leads, if any, to capture the maximal Tp-e interval in healthy young adults. METHODS: In 88 healthy adults (ages 21-38 years), including derivation (n = 21), validation (n = 20), and smoker/vaper (n = 47) cohorts, the Tp-e was measured using commercial computer software (LabChart Pro 8 with ECG module, ADInstruments) in all 12 leads at rest and following a provocative maneuver, abrupt standing. Tp-e was compared to determine which lead(s) most frequently captured the maximal Tp-e interval. RESULTS: In the rest and abrupt standing positions, the Tp-e was not uniform among the 12 leads; the maximal Tp-e was most frequently captured in the precordial leads. At rest, grouping leads V2-V4 resulted in detection of the maximum Tp-e in 85.7% of participants (CI 70.7, 99.9%) versus all other leads (p < .001). Upon abrupt standing, grouping leads V2-V6 together, resulted in detection of the maximum Tp-e 85.0% of participants (CI 69.4, 99.9% versus all other leads; p < .001). These findings were confirmed in the validation cohort, and extended to the smoking/vaping cohort. CONCLUSION: If only a subset of ECG leads will be recorded or analyzed for the Tp-e interval, selection of the precordial leads is preferred since these leads are most likely to capture the maximal Tp-e value.","journal":"Annals of Noninvasive Electrocardiology","year":2022,"id":288945,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9532,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":826008,"name":"Joyce Ma","orcid":null,"position":1,"is_corresponding":false},{"id":970605,"name":"Randy Nguyen","orcid":null,"position":2,"is_corresponding":false},{"id":970606,"name":"Karishma Lakhani","orcid":null,"position":3,"is_corresponding":false},{"id":295071,"name":"Jeffrey Gornbein","orcid":"0000-0001-7365-5794","position":4,"is_corresponding":false},{"id":511539,"name":"Holly R. Middlekauff","orcid":"0000-0001-7848-8585","position":5,"is_corresponding":false},{"id":970111,"name":"Isabelle Ruedisueli","orcid":"0000-0002-2352-9738","position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":null,"created_at":"2026-07-19T00:30:18.766838Z","pmid":"35712805","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}