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‘Real-world’ performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study

‘Real-world’ performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study
‘Real-world’ performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study

Introduction: the novel Confirm Rx™ implantable cardiac monitor (ICM) with SharpSense™ technology incorporates a new P-wave discriminator designed to improve AF detection. This study aimed to evaluate the diagnostic performance of the Confirm Rx™ ICM in detecting AF episodes of varying durations.

Methods: we conducted a multicenter retrospective analysis of consecutive patients implanted with a Confirm Rx™ ICM (v1.2) across nine UK hospitals, all with documented AF lasting at least 6 min. Electrocardiograms (ECGs) were manually adjudicated by cardiologists. To account for intra- and inter-reviewer variability, a random sample of 10% of ECGs underwent additional review. Disagreements were resolved by a third reviewer. Diagnostic performance was determined by calculating the gross and patient-averaged positive predictive value (PPV) for AF episodes of different duration. The source of false positive (FP) detection was also categorized.

Results: overall, 16,230 individual ECGs from 232 patients were included. The median AF episode duration was 14 min. R-wave amplitude remained stable during follow-up (0.52 ± 0.27 mV [initial] vs. 0.54 ± 0.29 mV [end of follow-up], p = .10). The gross and patient-averaged PPV were 75.0% and 67.0%, respectively. Diagnostic performance (gross) increased with progressively longer AF episodes: 88.0% for ≥1 h, 97.3% for 6 h, and 100% for 24 h. The main source of FP during tachycardia was T-wave oversensing (54.2%), while in non-tachycardic episodes it was predominantly ectopy (71.2%). The AF burden precision was excellent (93.3%).

Conclusion: the Confirm Rx™ ICM diagnostic performance was modest for all AF episodes (75%), with accuracy increasing for longer AF episodes.

ambulatory monitoring, arrhythmia monitoring, atrial fibrillation, implantable cardiac monitor, implantable loop recorders
1093-1101
Gala, Andre Briosa e
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Pope, Michael T.B.
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Leo, Milena
818a557c-7cf4-44ff-ac80-36172d684a31
Sharp, Alexander J.
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Banerjee, Abhirup
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Field, Duncan
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Thomas, Honey
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Balasubramaniam, Richard
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Hunter, Ross
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Gardner, Roy S.
bfb5fdb0-e9a7-498a-83ba-61fbaeea6fca
Wilson, David
648f56c9-2197-474a-84f1-a6bf5086547e
Gallagher, Mark M.
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Ormerod, Julian
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Paisey, John
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Curzen, Nick
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Betts, Timothy R.
a9d90073-a54a-478c-81f0-39ecc5234047
Gala, Andre Briosa e
409c30a8-0696-4426-9f9b-2539af465dbd
Pope, Michael T.B.
2ead06ce-b133-4455-a0d1-7bb899e437de
Leo, Milena
818a557c-7cf4-44ff-ac80-36172d684a31
Sharp, Alexander J.
1b75e163-d071-48d8-ad86-0c5ce163a0f4
Banerjee, Abhirup
38c4aeb6-9b4d-48cc-bd6b-82137dfbd295
Field, Duncan
6891b967-4595-4d96-8510-448dbe1810f2
Thomas, Honey
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Balasubramaniam, Richard
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Hunter, Ross
61bf8032-f5f9-409b-b08d-feb53b382177
Gardner, Roy S.
bfb5fdb0-e9a7-498a-83ba-61fbaeea6fca
Wilson, David
648f56c9-2197-474a-84f1-a6bf5086547e
Gallagher, Mark M.
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Ormerod, Julian
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Paisey, John
ab235a0e-884c-4b1a-8292-1281e441d074
Curzen, Nick
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Betts, Timothy R.
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Gala, Andre Briosa e, Pope, Michael T.B., Leo, Milena, Sharp, Alexander J., Banerjee, Abhirup, Field, Duncan, Thomas, Honey, Balasubramaniam, Richard, Hunter, Ross, Gardner, Roy S., Wilson, David, Gallagher, Mark M., Ormerod, Julian, Paisey, John, Curzen, Nick and Betts, Timothy R. (2024) ‘Real-world’ performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study. Journal of Arrhythmia, 40 (5), 1093-1101. (doi:10.1002/joa3.13124).

Record type: Article

Abstract


Introduction: the novel Confirm Rx™ implantable cardiac monitor (ICM) with SharpSense™ technology incorporates a new P-wave discriminator designed to improve AF detection. This study aimed to evaluate the diagnostic performance of the Confirm Rx™ ICM in detecting AF episodes of varying durations.

Methods: we conducted a multicenter retrospective analysis of consecutive patients implanted with a Confirm Rx™ ICM (v1.2) across nine UK hospitals, all with documented AF lasting at least 6 min. Electrocardiograms (ECGs) were manually adjudicated by cardiologists. To account for intra- and inter-reviewer variability, a random sample of 10% of ECGs underwent additional review. Disagreements were resolved by a third reviewer. Diagnostic performance was determined by calculating the gross and patient-averaged positive predictive value (PPV) for AF episodes of different duration. The source of false positive (FP) detection was also categorized.

Results: overall, 16,230 individual ECGs from 232 patients were included. The median AF episode duration was 14 min. R-wave amplitude remained stable during follow-up (0.52 ± 0.27 mV [initial] vs. 0.54 ± 0.29 mV [end of follow-up], p = .10). The gross and patient-averaged PPV were 75.0% and 67.0%, respectively. Diagnostic performance (gross) increased with progressively longer AF episodes: 88.0% for ≥1 h, 97.3% for 6 h, and 100% for 24 h. The main source of FP during tachycardia was T-wave oversensing (54.2%), while in non-tachycardic episodes it was predominantly ectopy (71.2%). The AF burden precision was excellent (93.3%).

Conclusion: the Confirm Rx™ ICM diagnostic performance was modest for all AF episodes (75%), with accuracy increasing for longer AF episodes.

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More information

Accepted/In Press date: 22 July 2024
e-pub ahead of print date: 3 September 2024
Published date: 15 October 2024
Keywords: ambulatory monitoring, arrhythmia monitoring, atrial fibrillation, implantable cardiac monitor, implantable loop recorders

Identifiers

Local EPrints ID: 496054
URI: http://eprints.soton.ac.uk/id/eprint/496054
PURE UUID: 6446f708-f4cd-40a2-9bb1-20ffed8f820d
ORCID for Nick Curzen: ORCID iD orcid.org/0000-0001-9651-7829

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Date deposited: 02 Dec 2024 17:43
Last modified: 04 Dec 2024 02:41

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Contributors

Author: Andre Briosa e Gala
Author: Michael T.B. Pope
Author: Milena Leo
Author: Alexander J. Sharp
Author: Abhirup Banerjee
Author: Duncan Field
Author: Honey Thomas
Author: Richard Balasubramaniam
Author: Ross Hunter
Author: Roy S. Gardner
Author: David Wilson
Author: Mark M. Gallagher
Author: Julian Ormerod
Author: John Paisey
Author: Nick Curzen ORCID iD
Author: Timothy R. Betts

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