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Increased healthcare utilization associated with complete atrioventricular block in pacemaker patients

Overview of attention for article published in Journal of Interventional Cardiac Electrophysiology, February 2018
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Title
Increased healthcare utilization associated with complete atrioventricular block in pacemaker patients
Published in
Journal of Interventional Cardiac Electrophysiology, February 2018
DOI 10.1007/s10840-018-0336-0
Pubmed ID
Authors

Suneet Mittal, Dan L. Musat, Michael H. Hoskins, Julie B. Prillinger, Gregory J. Roberts, Yelena Nabutovsky, Faisal M. Merchant

Abstract

The purpose of the current study is to characterize and quantify the impact of complete atrioventricular block (cAVB) on heart failure hospitalization (HFH) and healthcare utilization in pacemaker (PM) patients. Patients ≥ 18 years implanted with a dual-chamber PM from April 2008 to March 2014 were selected from the MarketScan® Commercial and Medicare Supplemental claims databases. Patients with ≤ 1-year continuous MarketScan enrollment prior to and post-implant, and those with prior HF diagnosis were excluded. Patients were dichotomized into those with cAVB, defined as a 3rd degree AVB diagnosis or AV node ablation in the year prior to PM implant, versus those without any AVB (noAVB). Post-implant HFH and associated costs were compared based on inpatient claims. The study cohort included 21,202 patients, of which 14,208 had no AVB and 6994 had cAVB, followed for 2.39 and 2.27 years, respectively. Patients with cAVB were associated with a significantly increased risk of cumulative HFH (HR 1.59 [95% CI 1.35-1.86] p < 0.001) and significantly higher costs ($636 [609-697] vs $369 [353-405] per pt-year, p < 0.001) compared to those with no AVB. Among dual-chamber PM patients without prior HF, cAVB is associated with a significantly increased risk of HFH and greater HF-related healthcare utilization. Identifying patients at high risk for HF in the setting of RV pacing, and potentially earlier use of biventricular or selective conduction system pacing, may reduce HF-related healthcare utilization.

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Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 14%
Student > Bachelor 3 14%
Researcher 3 14%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 1 5%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Materials Science 2 9%
Agricultural and Biological Sciences 1 5%
Unspecified 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 10 45%