{ "id": "AIBD-0288", "title": "Smartwatch single-lead ECG captures a 165 bpm wide-complex tachycardia in a 64-year-old man; Emory diagnoses ventricular tachycardia, implants a defibrillator and later ablates", "summary": "A smartwatch ECG recorded a 165 bpm wide-complex tachycardia during palpitations; VT was confirmed on telemetry, an ICD placed and later shocked VT, and ablation stopped the VT (JACC Case Rep 2025).", "date_observed": "2025-03-12", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "Guynn, Regis, Eckert, D'souza, Turbow, Westerman, Sperling and Lloyd are in Emory University School of Medicine's Division of Cardiology, Atlanta. They reported in JACC: Case Reports (published online 12 March 2025; event dates not reported) on a 64-year-old man. He had a bioprosthetic aortic valve replaced at 55 and a month of intermittent palpitations and near-syncope. During symptoms he used his smartwatch's electrocardiogram (ECG) function. The watch captured a 10-second single-lead ECG and reported a heart rate above 150 beats/min, warning him to speak to a doctor. The tracing showed wide complex tachycardia at 165 beats/min. On admission he was in sinus rhythm at 77 bpm. But telemetry and ECG caught multiple episodes of monomorphic ventricular tachycardia, and he went to intensive cardiac care. Cardiac magnetic resonance imaging (MRI) suggested scar or late myocarditis at the basal septum. An electrophysiology study found easily inducible VT. A secondary-prevention ICD was implanted and he was discharged on metoprolol, spironolactone and dapagliflozin. Three months later the ICD shocked him for VT. Device interrogation showed pace-terminated episodes, some degenerating into ventricular fibrillation. Successful ablation below the aortic prosthesis followed, with no further VT on serial interrogations. The authors write VT would have gone undiagnosed had the clinician not considered the smartwatch data. The watch's brand and model are unstated.", "category": "benefit created", "unexpected": false, "purpose": "Smartwatch ECG apps are built to record a single-lead trace and warn of high heart rates. Capturing the VT during symptoms was that function. The authors note no smartwatch algorithm is validated to detect VT and the diagnosis came from clinicians reading the trace.", "system": "Smartwatch ECG function with high-heart-rate warning (brand and model not stated)", "model_version": null, "developer": "Not stated (the report does not name the device's maker)", "deployer": null, "location": "Atlanta, United States (authors' institution; the admitting hospital is not named)", "domain": "Healthcare (cardiology; electrophysiology)", "segment": "Consumer wearables", "benefit_type": "Improved Physical Health", "taxonomy_note": null, "registry_ids": {}, "ratings": [ { "group": "personal", "depth": 3, "reason": "The captured trace led to a VT diagnosis, an ICD that later delivered shocks for VT degenerating into ventricular fibrillation, and a curative ablation. The report presents the ICD decision as vindicated by those shocks. So the benefit reaches a life-threatening arrhythmia, though the counterfactual is the authors' judgment." } ], "ai_role": { "status": "assessed", "statement": "The device's contribution was recording a user-triggered single-lead ECG and issuing a generic high-heart-rate warning. It did not classify the rhythm as VT, which the authors say no wearable algorithm is validated to do. Clinicians read the QRS morphology on the smartwatch trace and on the 12-lead ECG, and made every treatment decision. The brand is unknown." }, "evidence": [ { "kind": "case report", "citation": "Guynn N, Regis K, Eckert A, D'souza M, Turbow S, Westerman S, Sperling L, Lloyd M (2025). Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology. JACC: Case Reports 30(9):103273. doi:10.1016/j.jaccas.2025.103273 (PMC12245455).", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "The watch captured a 10-second single-lead ECG and reported a heart rate >150 beats/min with a warning to speak to a doctor" }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, presentation.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "The symptoms corresponded to a wide complex tachycardia with a rate of 165 beats/min on his smartwatch" }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, follow-up and conclusions.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "Three months following discharge he was shocked by his implantable defibrillator and interrogation showed VT." }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, counterfactual claim.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "this case demonstrates that VT would have gone undiagnosed if this patient’s clinician had not considered the smartwatch data" } ], "replication": { "produced_by": [ "A wearer who activates the watch's ECG recording during a transient symptomatic episode", "A clinician who reviews the single-lead trace rather than dismissing consumer data", "Access to telemetry, cardiac MRI, electrophysiology study, ICD implantation and ablation" ], "must_hold": [ "The arrhythmia occurs while the wearer is able to trigger a recording (the watch has no continuous ECG)", "The QRS morphology on a single lead is clear enough for a clinician to suspect VT and pursue confirmation" ], "echoes": [ { "date": null, "setting": "Three earlier published cases of VT diagnosed from a smartwatch recording, each leading to an electrophysiology study and ICD, ablation or both, as summarized in this report's discussion", "model_version": null, "outcome": "recurred", "source": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, discussion ('To date, there have only been 3 other reported cases of VT diagnosed by a smartwatch')" } ] }, "paired_incident": null, "headline": "Smartwatch ECG captures 165 bpm tachycardia; Emory diagnoses VT", "metric": "recorded a 165 bpm wide-complex tachycardia during palpitations", "comparator": { "against": "the clinician's evaluation of palpitations without considering the smartwatch recording", "before": "VT would have gone undiagnosed", "after": "a wide complex tachycardia with a rate of 165 beats/min on his smartwatch", "basis": "assumed", "quote": "There is a need for a more cost-effective approach to evaluation and management of palpitations, and this case demonstrates that VT would have gone undiagnosed if this patient’s clinician had not considered the smartwatch data.", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/" }, "later": { "status": "unknown", "date": null, "note": "The ICD shock and ablation are undated events within the same report; nothing after publication was found.", "quote": null, "url": null }, "value": null, "developer_country": null, "deployer_country": null, "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against from the cited sources.", "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" } ], "confidence": "studied", "shade": "high", "claim_status": "Independently studied", "claim_basis": "Sources: one independent case report. The cited evidence includes no finding by a regulator or court.", "profile": { "case_id": "AIBD-0288", "catalog_version": "1.0.0", "source_fingerprint": "e2acc392d1077fe071a1a9e055a3162007fafdd8931eaf2779f8b07430966e00", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0288-source-0001", "AIBD-0288-source-0002", "AIBD-0288-source-0003", "AIBD-0288-source-0004" ], "families": { "strategic assessments": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "evaluations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "monetary observations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "institutional decisions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] } }, "fields": { "actors[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "developer": "Not stated (the report does not name the device's maker)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "actors[].ownership_control": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_contribution": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ai_role": { "status": "assessed", "statement": "The device's contribution was recording a user-triggered single-lead ECG and issuing a generic high-heart-rate warning. It did not classify the rhythm as VT, which the authors say no wearable algorithm is validated to do. Clinicians read the QRS morphology on the smartwatch trace and on the 12-lead ECG, and made every treatment decision. The brand is unknown." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ai_role" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "ai_relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "category": "benefit created", "ai_role": { "status": "assessed", "statement": "The device's contribution was recording a user-triggered single-lead ECG and issuing a generic high-heart-rate warning. It did not classify the rhythm as VT, which the authors say no wearable algorithm is validated to do. Clinicians read the QRS morphology on the smartwatch trace and on the 12-lead ECG, and made every treatment decision. The brand is unknown." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ai_role", "category" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].alternatives": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].assessor_date": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].depth": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "personal", "depth": 3, "reason": "The captured trace led to a VT diagnosis, an ICD that later delivered shocks for VT degenerating into ventricular fibrillation, and a curative ablation. 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"provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].claim": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "Guynn, Regis, Eckert, D'souza, Turbow, Westerman, Sperling and Lloyd are in Emory University School of Medicine's Division of Cardiology, Atlanta. They reported in JACC: Case Reports (published online 12 March 2025; event dates not reported) on a 64-year-old man. He had a bioprosthetic aortic valve replaced at 55 and a month of intermittent palpitations and near-syncope. During symptoms he used his smartwatch's electrocardiogram (ECG) function. The watch captured a 10-second single-lead ECG and reported a heart rate above 150 beats/min, warning him to speak to a doctor. The tracing showed wide complex tachycardia at 165 beats/min. On admission he was in sinus rhythm at 77 bpm. But telemetry and ECG caught multiple episodes of monomorphic ventricular tachycardia, and he went to intensive cardiac care. Cardiac magnetic resonance imaging (MRI) suggested scar or late myocarditis at the basal septum. An electrophysiology study found easily inducible VT. A secondary-prevention ICD was implanted and he was discharged on metoprolol, spironolactone and dapagliflozin. Three months later the ICD shocked him for VT. Device interrogation showed pace-terminated episodes, some degenerating into ventricular fibrillation. Successful ablation below the aortic prosthesis followed, with no further VT on serial interrogations. The authors write VT would have gone undiagnosed had the clinician not considered the smartwatch data. The watch's brand and model are unstated.", "benefit_type": "Improved Physical Health" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].distribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].duration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].id": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].stakeholder_group": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "personal", "depth": 3, "reason": "The captured trace led to a VT diagnosis, an ICD that later delivered shocks for VT degenerating into ventricular fibrillation, and a curative ablation. The report presents the ICD decision as vindicated by those shocks. So the benefit reaches a life-threatening arrhythmia, though the counterfactual is the authors' judgment." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ratings" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].status": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].tradeoffs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].unexpected": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "unexpected": false, "purpose": "Smartwatch ECG apps are built to record a single-lead trace and warn of high heart rates. Capturing the VT during symptoms was that function. The authors note no smartwatch algorithm is validated to detect VT and the diagnosis came from clinicians reading the trace." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "unexpected", "purpose" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "places[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "location": "Atlanta, United States (authors' institution; the admitting hospital is not named)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "location" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "purpose": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "purpose": "Smartwatch ECG apps are built to record a single-lead trace and warn of high heart rates. Capturing the VT during symptoms was that function. The authors note no smartwatch algorithm is validated to detect VT and the diagnosis came from clinicians reading the trace." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "purpose" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "record_dates": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "date_observed": "2025-03-12", "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against from the cited sources.", "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "editor": "AIBD" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "date_observed", "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.attempts[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "A wearer who activates the watch's ECG recording during a transient symptomatic episode", "A clinician who reviews the single-lead trace rather than dismissing consumer data", "Access to telemetry, cardiac MRI, electrophysiology study, ICD implantation and ablation" ], "must_hold": [ "The arrhythmia occurs while the wearer is able to trigger a recording (the watch has no continuous ECG)", "The QRS morphology on a single lead is clear enough for a clinician to suspect VT and pursue confirmation" ], "echoes": [ { "setting": "Three earlier published cases of VT diagnosed from a smartwatch recording, each leading to an electrophysiology study and ICD, ablation or both, as summarized in this report's discussion", "outcome": "recurred", "source": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, discussion ('To date, there have only been 3 other reported cases of VT diagnosed by a smartwatch')" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.conditions": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "A wearer who activates the watch's ECG recording during a transient symptomatic episode", "A clinician who reviews the single-lead trace rather than dismissing consumer data", "Access to telemetry, cardiac MRI, electrophysiology study, ICD implantation and ablation" ], "must_hold": [ "The arrhythmia occurs while the wearer is able to trigger a recording (the watch has no continuous ECG)", "The QRS morphology on a single lead is clear enough for a clinician to suspect VT and pursue confirmation" ], "echoes": [ { "setting": "Three earlier published cases of VT diagnosed from a smartwatch recording, each leading to an electrophysiology study and ICD, ablation or both, as summarized in this report's discussion", "outcome": "recurred", "source": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, discussion ('To date, there have only been 3 other reported cases of VT diagnosed by a smartwatch')" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "revision_history[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against from the cited sources.", "source": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Improved Physical Health under Trustible's full taxonomy of 23 types; it was Improved Accessibility among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "editor": "AIBD" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sector": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "domain": "Healthcare (cardiology; electrophysiology)", "segment": "Consumer wearables" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "domain", "segment" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].access_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].citation_locator": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "case report", "citation": "Guynn N, Regis K, Eckert A, D'souza M, Turbow S, Westerman S, Sperling L, Lloyd M (2025). Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology. JACC: Case Reports 30(9):103273. doi:10.1016/j.jaccas.2025.103273 (PMC12245455).", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "The watch captured a 10-second single-lead ECG and reported a heart rate >150 beats/min with a warning to speak to a doctor" }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, presentation.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "The symptoms corresponded to a wide complex tachycardia with a rate of 165 beats/min on his smartwatch" }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, follow-up and conclusions.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "Three months following discharge he was shocked by his implantable defibrillator and interrogation showed VT." }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, counterfactual claim.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "this case demonstrates that VT would have gone undiagnosed if this patient’s clinician had not considered the smartwatch data" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].id": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "AIBD-0288-source-0001", "AIBD-0288-source-0002", "AIBD-0288-source-0003", "AIBD-0288-source-0004" ], "role": "Existing evidence items, in their original order" }, "provenance": { "kind": "curatorial", "basis": "Stable within the fingerprinted record version; no source content or source review has been added.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "sources[].language": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "case report", "citation": "Guynn N, Regis K, Eckert A, D'souza M, Turbow S, Westerman S, Sperling L, Lloyd M (2025). Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology. JACC: Case Reports 30(9):103273. doi:10.1016/j.jaccas.2025.103273 (PMC12245455).", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "The watch captured a 10-second single-lead ECG and reported a heart rate >150 beats/min with a warning to speak to a doctor" }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, presentation.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "The symptoms corresponded to a wide complex tachycardia with a rate of 165 beats/min on his smartwatch" }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, follow-up and conclusions.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "Three months following discharge he was shocked by his implantable defibrillator and interrogation showed VT." }, { "kind": "case report", "citation": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, counterfactual claim.", "title": "Sustained Monomorphic Ventricular Tachycardia Accurately Detected by Wearable Technology", "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC12245455/", "date": "2025-03-12", "written_by": "independent", "quote": "this case demonstrates that VT would have gone undiagnosed if this patient’s clinician had not considered the smartwatch data" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].upstream_sources": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "strategic_assessments[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "strategic assessments" }, "summary": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "summary": "A smartwatch ECG recorded a 165 bpm wide-complex tachycardia during palpitations; VT was confirmed on telemetry, an ICD placed and later shocked VT, and ablation stopped the VT (JACC Case Rep 2025).", "account": "Guynn, Regis, Eckert, D'souza, Turbow, Westerman, Sperling and Lloyd are in Emory University School of Medicine's Division of Cardiology, Atlanta. They reported in JACC: Case Reports (published online 12 March 2025; event dates not reported) on a 64-year-old man. He had a bioprosthetic aortic valve replaced at 55 and a month of intermittent palpitations and near-syncope. During symptoms he used his smartwatch's electrocardiogram (ECG) function. The watch captured a 10-second single-lead ECG and reported a heart rate above 150 beats/min, warning him to speak to a doctor. The tracing showed wide complex tachycardia at 165 beats/min. On admission he was in sinus rhythm at 77 bpm. But telemetry and ECG caught multiple episodes of monomorphic ventricular tachycardia, and he went to intensive cardiac care. Cardiac magnetic resonance imaging (MRI) suggested scar or late myocarditis at the basal septum. An electrophysiology study found easily inducible VT. A secondary-prevention ICD was implanted and he was discharged on metoprolol, spironolactone and dapagliflozin. Three months later the ICD shocked him for VT. Device interrogation showed pace-terminated episodes, some degenerating into ventricular fibrillation. Successful ablation below the aortic prosthesis followed, with no further VT on serial interrogations. The authors write VT would have gone undiagnosed had the clinician not considered the smartwatch data. The watch's brand and model are unstated." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "summary", "account" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].autonomy_permissions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].component_role": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].deployment_configuration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].inputs_outputs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_name": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].product_name": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "system": "Smartwatch ECG function with high-heart-rate warning (brand and model not stated)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "system" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].provider": { "state": "value_present", "value": { "kind": "structured", "data": { "application_developer": "Not stated (the report does not name the device's maker)" } }, "provenance": { "kind": "legacy_record", "basis": "Mapped from the existing case description without a new external source review.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "Smartwatch single-lead ECG captures a 165 bpm wide-complex tachycardia in a 64-year-old man; Emory diagnoses ventricular tachycardia, implants a defibrillator and later ablates", "headline": "Smartwatch ECG captures 165 bpm tachycardia; Emory diagnoses VT" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "title", "headline" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "version": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "e2acc392d1077fe071a1a9e055a3162007fafdd8931eaf2779f8b07430966e00" ], "role": "SHA-256 of normalized original case data" }, "provenance": { "kind": "curatorial", "basis": "Deterministic content version assigned by the local migration.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "workflow": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "Guynn, Regis, Eckert, D'souza, Turbow, Westerman, Sperling and Lloyd are in Emory University School of Medicine's Division of Cardiology, Atlanta. They reported in JACC: Case Reports (published online 12 March 2025; event dates not reported) on a 64-year-old man. He had a bioprosthetic aortic valve replaced at 55 and a month of intermittent palpitations and near-syncope. During symptoms he used his smartwatch's electrocardiogram (ECG) function. The watch captured a 10-second single-lead ECG and reported a heart rate above 150 beats/min, warning him to speak to a doctor. The tracing showed wide complex tachycardia at 165 beats/min. On admission he was in sinus rhythm at 77 bpm. But telemetry and ECG caught multiple episodes of monomorphic ventricular tachycardia, and he went to intensive cardiac care. Cardiac magnetic resonance imaging (MRI) suggested scar or late myocarditis at the basal septum. An electrophysiology study found easily inducible VT. A secondary-prevention ICD was implanted and he was discharged on metoprolol, spironolactone and dapagliflozin. Three months later the ICD shocked him for VT. Device interrogation showed pace-terminated episodes, some degenerating into ventricular fibrillation. Successful ablation below the aortic prosthesis followed, with no further VT on serial interrogations. The authors write VT would have gone undiagnosed had the clinician not considered the smartwatch data. The watch's brand and model are unstated.", "replication": { "produced_by": [ "A wearer who activates the watch's ECG recording during a transient symptomatic episode", "A clinician who reviews the single-lead trace rather than dismissing consumer data", "Access to telemetry, cardiac MRI, electrophysiology study, ICD implantation and ablation" ], "must_hold": [ "The arrhythmia occurs while the wearer is able to trigger a recording (the watch has no continuous ECG)", "The QRS morphology on a single lead is clear enough for a clinician to suspect VT and pursue confirmation" ], "echoes": [ { "setting": "Three earlier published cases of VT diagnosed from a smartwatch recording, each leading to an electrophysiology study and ICD, ablation or both, as summarized in this report's discussion", "outcome": "recurred", "source": "Guynn N et al. (2025), JACC Case Rep 30(9):103273, discussion ('To date, there have only been 3 other reported cases of VT diagnosed by a smartwatch')" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" } }, "summary": { "total": 91, "addressed": 91, "known": 29, "reviewed": 0, "record_mapped": 29, "not_assessed": 62, "complete": false, "by_state": { "value_present": 29, "not_reported": 0, "unresolved": 0, "not_assessed": 62, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }