Remote monitoring of implantable cardiac monitors in patients with unexplained syncope: Predictors of false‐positive alert episodes Article Swipe
Vincenzo Russo
,
Simona Covino
,
Valentina Pasquale
,
Erika Parente
,
Angelo Comune
,
Anna Rago
,
Andrea Antonio Papa
,
Ernesto Ammendola
,
Andrea Spadaro Guerra
,
Paola Napoli
,
Paolo Golino
,
Gerardo Nigro
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/pace.14851
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/pace.14851
Background Remote monitoring is recommended for patients with implantable cardiac monitors (ICMs), but compared to other cardiac implantable devices, ICMs are less accurate and transmit a higher number of alerts. Objective The aim of this study was to investigate the predictors of false‐positive (FP) arrhythmic alerts in patients with unexplained syncope who were implanted with ICM and followed by an automatic remote monitoring system. Methods We retrospectively evaluated all consecutive patients who received a long‐sensing vector ICM for unexplained syncope between January 2019 to September 2021 at our Syncope Unit. The primary endpoint was the incidence of the first FP episode. The secondary endpoints included assessing the incidence of FP episodes for all types of algorhythms and indentifying the reasons for the misdetection of these episodes. Results Among 105 patients (44.8% males, median age 51 years), 51 (48.6%) transmitted at least one FP alert during a median follow‐up of 301 days. The presence of pre‐ventricular complexes (PVCs) on the resting electrocardiogram was the only clinical characteristic associated with an increased risk of FP alerts (adjusted Hazard ratio [HR] 5.76 [2.66–12.4], p = 0.010). The other significant device‐related variables were a low‐frequency filter at 0.05 Hz versus the default 0.5 Hz (adjusted HR 3.82 [1.38–10.5], p = 0.010) and the R‐wave amplitude (adjusted HR 0.35 [0.13–0.99], p = 0.049). Conclusion Patients who have PVCs are at higher risk of inappropriate ICM activations. To reduce the occurrence of FP alerts, it may be beneficial to target a large R‐wave amplitude during device insertion and avoid programming a low‐frequency filter at 0.05 Hz.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/pace.14851
- OA Status
- hybrid
- Cited By
- 3
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387965631
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387965631Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/pace.14851Digital Object Identifier
- Title
-
Remote monitoring of implantable cardiac monitors in patients with unexplained syncope: Predictors of false‐positive alert episodesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-27Full publication date if available
- Authors
-
Vincenzo Russo, Simona Covino, Valentina Pasquale, Erika Parente, Angelo Comune, Anna Rago, Andrea Antonio Papa, Ernesto Ammendola, Andrea Spadaro Guerra, Paola Napoli, Paolo Golino, Gerardo NigroList of authors in order
- Landing page
-
https://doi.org/10.1111/pace.14851Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1111/pace.14851Direct OA link when available
- Concepts
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Medicine, Incidence (geometry), Syncope (phonology), Cardiology, Internal medicine, Hazard ratio, Clinical endpoint, Implantable loop recorder, Confidence interval, Clinical trial, Atrial fibrillation, Optics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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17Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.programming | 254 |
| abstract_inverted_index.recommended | 5 |
| abstract_inverted_index.significant | 186 |
| abstract_inverted_index.transmitted | 139 |
| abstract_inverted_index.unexplained | 50, 79 |
| abstract_inverted_index.activations. | 231 |
| abstract_inverted_index.indentifying | 118 |
| abstract_inverted_index.misdetection | 123 |
| abstract_inverted_index.inappropriate | 229 |
| abstract_inverted_index.[0.13–0.99], | 215 |
| abstract_inverted_index.[1.38–10.5], | 204 |
| abstract_inverted_index.[2.66–12.4], | 180 |
| abstract_inverted_index.characteristic | 166 |
| abstract_inverted_index.long‐sensing | 75 |
| abstract_inverted_index.low‐frequency | 191, 256 |
| abstract_inverted_index.retrospectively | 67 |
| abstract_inverted_index.device‐related | 187 |
| abstract_inverted_index.false‐positive | 43 |
| abstract_inverted_index.electrocardiogram | 161 |
| abstract_inverted_index.pre‐ventricular | 155 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5003503228 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I197809005 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.79192147 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |