| Automatic sensor algorithms expedite pacemaker follow-ups. | |
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MedLine Citation:
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PMID: 12687817 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: Automatic algorithms can be used to optimize settings and reduce the duration of pacemaker (PM) clinical follow-up. METHODS: This study prospectively evaluated 87 patients (74.2 +/- 10.7 years old, 52% men) who received PM with the Autoslope algorithm. Patients randomized to the manual group (group M, n = 43) performed a walk test and used sensor-indicated rate histograms to adjust the sensor, while in the automatic group (group A, n = 44) the sensor was automatically adjusted by the Autoslope. The patients were followed for 6 months. Follow-up time required for device interrogation and optimal sensor set-up, and the number of sensor parameters reprogramming were recorded. Changes in the patients' activity level were also evaluated. RESULTS: Group A required significantly less follow-up time than group M (9.4 +/- 5.7 min vs 13.5 +/- 8.5 min, P = 0.0002). The average number of sensor parameters reprogrammed during visits was significantly lower in group A than M (0.6 +/- 0.9 vs 0.9 +/- 1.3, P = 0.048). Threshold was adjusted 34.4% of the time in the sensor evaluations in group M versus 12.9% in group A (P = 0.0004). Although more patients in group A reported being more active, the changes in patients' activity level did not lead to increasing sensor setup time or number of parameter reprogramming in either group. CONCLUSIONS: Auto sensor adjustment required less time during routine PM clinical follow-up by reducing steps needed for manual sensor threshold adjustment. |
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Authors:
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Demo Klonis; Xiaozheng Zhang; Umesh Patel; Sajad Gulamhusein; Jagdish Patel; Handre Hurwit; Dorothy Banish; Dave Marco |
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Publication Detail:
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Type: Clinical Trial; Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Pacing and clinical electrophysiology : PACE Volume: 26 ISSN: 0147-8389 ISO Abbreviation: Pacing Clin Electrophysiol Publication Date: 2003 Jan |
Date Detail:
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Created Date: 2003-04-11 Completed Date: 2003-07-03 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7803944 Medline TA: Pacing Clin Electrophysiol Country: United States |
Other Details:
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Languages: eng Pagination: 225-8 Citation Subset: IM |
Affiliation:
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LaBette County Medical Center, Parsons, 1902 S. US Hwy 59, Parsons, KS 67357, USA. dklonis@joplin.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Aged Algorithms* Cardiac Pacing, Artificial / methods* Female Humans Male Prospective Studies |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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