The Diagnostic Yield of Implantable Loop Recorders Stratified by Indication: A “Real-World” Single-Center Experience

<b>Background/Objectives:</b> Implantable loop recorders (ILRs) are widely used for the diagnosis of unexplained syncope, palpitations, and cryptogenic stroke. While ILRs demonstrate clinical utility, data on their diagnostic yield and value in real-world settings remain limited. This study evaluates ILR performance, diagnostic yield, and clinical impact across multiple indications. <b>Methods:</b> We retrospectively analyzed 316 patients who underwent ILR implantation between 2017 and 2023 at a single center. Indications included unexplained syncope, palpitations, and atrial fibrillation (AF) detection. Diagnostic yield, defined as the ratio of positive diagnoses to implants, and diagnostic value, defined as diagnoses leading to therapeutic changes, were assessed. Diagnostic appropriateness, reflecting diagnoses consistent with implant indications, was also investigated. Continuous variables were analyzed using an independent samples <i>t</i>-test or ANOVA, when appropriate; dichotomous variables were analyzed using a chi-square test. <b>Results:</b> The overall diagnostic yield was 30%, with most diagnoses occurring within 24 months post-implantation. Bradyarrhythmias were diagnosed earlier (mean: 290 days) than tachyarrhythmias (590 days, <i>p</i> = 0.04). The diagnostic value was 29%, and the appropriateness reached 70%. The diagnostic-value-to-diagnostic-yield ratio was shown to be as high as 97%, suggesting that whenever a diagnosis was made, it was of clinical impact. Patients with presyncope showed a higher diagnostic yield, particularly for tachyarrhythmias. Device re-implantation showed limited utility, as only one diagnosis (classified as bystander) was achieved in 32 re-implanted patients. After 900 days, the diagnostic yield decreased significantly, with the number needed to follow (NNF) rising from 3.85 to 18 (<i>p</i> < 0.001). <b>Conclusions:</b> ILRs are effective for arrhythmia detection, demonstrating significant diagnostic and therapeutic impact, particularly within the first two years. The recurrence of presyncope and atrial dilation was associated with higher yields, while isolated syncope posed diagnostic challenges. Prolonged monitoring beyond 900 days and device re-implantation provided diminishing returns.

Authors

Publication Details

Journal
Journal of Clinical Medicine
Published
2025-02-07
DOI
https://doi.org/10.3390/jcm14041052
Citations
4
Primary Topic
Cardiovascular Syncope and Autonomic Disorders
Type
article
Field-Weighted Citation Impact
8.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Diagnostic Yield of Implantable Loop Recorders Stratified by Indication: A “Real-World” Single-Center Experience

M Giannotti Santoro, Giulio Zucchelli, G Grifoni, Lorenzo Pistelli et al.
4 citations
Journal of Clinical Medicine
Cardiovascular Syncope and Autonomic Disorders
8.03
article

The Diagnostic Yield of Implantable Loop Recorders Stratified by Indication: A “Real-World” Single-Center Experience

M Giannotti Santoro, Giulio Zucchelli, G Grifoni, Lorenzo Pistelli, F Fiorentini, R De Lucia, Stefano Viani, Marco Torre, A Canu, Andrea Di Cori, Luca Segreti, M Parollo, Valentina Barletta
article en
4 citations

Abstract

<b>Background/Objectives:</b> Implantable loop recorders (ILRs) are widely used for the diagnosis of unexplained syncope, palpitations, and cryptogenic stroke. While ILRs demonstrate clinical utility, data on their diagnostic yield and value in real-world settings remain limited. This study evaluates ILR performance, diagnostic yield, and clinical impact across multiple indications. <b>Methods:</b> We retrospectively analyzed 316 patients who underwent ILR implantation between 2017 and 2023 at a single center. Indications included unexplained syncope, palpitations, and atrial fibrillation (AF) detection. Diagnostic yield, defined as the ratio of positive diagnoses to implants, and diagnostic value, defined as diagnoses leading to therapeutic changes, were assessed. Diagnostic appropriateness, reflecting diagnoses consistent with implant indications, was also investigated. Continuous variables were analyzed using an independent samples <i>t</i>-test or ANOVA, when appropriate; dichotomous variables were analyzed using a chi-square test. <b>Results:</b> The overall diagnostic yield was 30%, with most diagnoses occurring within 24 months post-implantation. Bradyarrhythmias were diagnosed earlier (mean: 290 days) than tachyarrhythmias (590 days, <i>p</i> = 0.04). The diagnostic value was 29%, and the appropriateness reached 70%. The diagnostic-value-to-diagnostic-yield ratio was shown to be as high as 97%, suggesting that whenever a diagnosis was made, it was of clinical impact. Patients with presyncope showed a higher diagnostic yield, particularly for tachyarrhythmias. Device re-implantation showed limited utility, as only one diagnosis (classified as bystander) was achieved in 32 re-implanted patients. After 900 days, the diagnostic yield decreased significantly, with the number needed to follow (NNF) rising from 3.85 to 18 (<i>p</i> < 0.001). <b>Conclusions:</b> ILRs are effective for arrhythmia detection, demonstrating significant diagnostic and therapeutic impact, particularly within the first two years. The recurrence of presyncope and atrial dilation was associated with higher yields, while isolated syncope posed diagnostic challenges. Prolonged monitoring beyond 900 days and device re-implantation provided diminishing returns.

Journal of Clinical MedicineVol. 14(4)
Good health and well-being
Openalex Percentile: Top 3%
Cardiovascular Syncope and Autonomic Disorders
8.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.