Abstract 17460: Initial Clinical Experience with the Medtronic LinQ Loop Recorder: Concerns about Data Deluge

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Geordan S Kushner BA ◽  
Martha Ferrara CNP ◽  
Obiananma Nwokike BS ◽  
Aysha Arshad MD ◽  
Dan Musat MD ◽  
...  

Introduction: Long-term ECG monitoring is often necessary in patients (pts) with unexplained syncope and suspected or known atrial fibrillation (AF). The recently released Medtronic LinQ loop recorder (ILR) accrues ECG data daily; “alert” conditions are wirelessly transmitted to providers. To date, the frequency and characteristics of these alerts are unknown. Hypothesis: We hypothesized that alerts would occur infrequently, thus allowing for remote management of large numbers of pts. Methods: Consecutive pts implanted with the LinQ were assessed. All alerts were collected and analyzed. Alerts ideally reflect a change within the past 24 hours of monitoring. However, some alerts (once triggered) perpetuate daily until cleared by a patient initiating a manual transmission. Results: Our first 100 LinQ pts (mean age 67.5 years; 51% male) implanted within the first 3 months of market release were assessed. The indications for monitoring included suspected AF (cryptogenic stroke, n=10; history of atrial flutter, n=1), known AF (n=61), and unexplained syncope (n=25). During follow-up, an alert occurred in 63 pts; a similar frequency of alerts occurred in AF and syncope pts (Figure). Once present, 29 (46%) alerts perpetuated daily and required manual transmission to clear. Conclusion: We report the initial clinical experience with the LinQ ILR. We found that alerts occurred frequently, irrespective of indication for monitoring. Once present, alerts were frequently perpetuated due to a major design limitation. A more robust system is needed to triage the data being accrued to prevent unnecessary data deluge.

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Claribel D Wee ◽  
Tejeswi Suryadevara ◽  
Husitha Vanguru ◽  
Rashid Ahmed ◽  
Danielle Hawley ◽  
...  

Paroxysmal atrial fibrillation (Afib) detection in cryptogenic stroke is difficult but essential because it changes management. We describe a scoring system that discriminates between cryptogenic ischemic stroke patients with implantable loop recorder (ILR) that were and were not found to have Afib. Consecutive cryptogenic stroke cases from cardiology’s ILR registry for a 2-year period (7/2017-7/2019) were reviewed. We used standardized case report forms to perform chart abstraction. Cases were excluded if ILR was not placed after the index stroke event, stroke etiology workup was not available, or data was incomplete. Patients found to have Afib on ILR were compared to those without evidence of Afib on ILR. We devised a novel scoring system using variables associated with Afib detection and compared its ability to classify Afib detection against CHA2DS2-VASc and LADS. One hundred fifty-seven patients met inclusion criteria. Afib was detected in 12% of cases (9% at 6 months, 10% at 12 months). The median time from ILR placement to Afib detection was 110 days (IQR 37, 507). Median time from Afib detection to the start of anticoagulation was 3 days (IQR 0, 8). The PAL-CrISP score ranges 0 to 7: age (70=0, ≥70=4), history of antihypertensive medication (no=0, yes=2), PR interval (≤200msec=0, >200msec=1). Of those found to have Afib via ILR, 74% (14/19) had a PAL-CrISP score ≥ 6. PAL-CrISP performed better at predicting Afib detection in cryptogenic ischemic stroke patients with ILR (AUC 0.810, 95% CI 0.706-0.913) than CHA2DS2-VASc (AUC 0.650, 95% CI 0.525-0.774) and LADS (AUC 0.745, 95% CI 0.624-0.866). Using only age, home medication review, and an EKG, the novel PAL-CrISP score performs better at predicting Afib detection than the CHA2DS2-VASc and LADS scores in cryptogenic ischemic stroke patients with an ILR.


1985 ◽  
Vol 20 (2) ◽  
pp. 118-124 ◽  
Author(s):  
Don K. Nakayama ◽  
Michael R. Harrison ◽  
Daryl H. Chinn ◽  
Peter W. Callen ◽  
Roy A. Filly ◽  
...  

2005 ◽  
Vol 173 (4S) ◽  
pp. 413-413 ◽  
Author(s):  
Ajay Gupta ◽  
Mohamad E. Allaf ◽  
Christopher A. Warlick ◽  
Thomas W. Jarrett ◽  
David Y. Chan ◽  
...  

2012 ◽  
Vol 60 (S 01) ◽  
Author(s):  
AM Dell'Aquila ◽  
S Schneider ◽  
D Schlarb ◽  
J Sindermann ◽  
A Hoffmeier ◽  
...  

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