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1.
J Arrhythm ; 38(4): 608-614, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1971296

ABSTRACT

Aims: The aim of the Mid-Q Response study is to test the hypothesis that adaptive preferential left ventricular-only pacing with the AdaptivCRT algorithm has superior clinical outcomes compared to conventional cardiac resynchronization therapy (CRT) in heart failure (HF) patients with moderately wide QRS duration (≥120 ms and <150 ms), left bundle branch block (LBBB), and normal atrioventricular (AV) conduction (PR interval ≤200 ms). Methods: This prospective, multi-center, randomized, controlled, clinical study is being conducted at approximately 60 centers in Asia. Following enrollment and baseline assessment, eligible patients are implanted with a CRT system equipped with the AdaptivCRT algorithm and are randomly assigned in a 1:1 ratio to have AdaptivCRT ON (Adaptive Bi-V and LV pacing) or AdaptivCRT OFF (Nonadaptive CRT). A minimum of 220 randomized patients are required for analysis of the primary endpoint, clinical composite score (CCS) at 6 months post-implant. The secondary and ancillary endpoints are all-cause and cardiovascular death, hospitalizations for worsening HF, New York Heart Association (NYHA) class, Kansas City Cardiomyopathy Questionnaire (KCCQ), atrial fibrillation (AF), and cardiovascular adverse events at 6 or 12 months. Conclusion: The Mid-Q Response study is expected to provide additional evidence on the incremental benefit of the AdaptivCRT algorithm among Asian HF patients with normal AV conduction, moderately wide QRS, and LBBB undergoing CRT implant.

2.
Pacing Clin Electrophysiol ; 45(6): 815-817, 2022 06.
Article in English | MEDLINE | ID: covidwho-1673251

ABSTRACT

We report a case in which real-time remote interrogation and reprogramming of the parameters of a dual-chamber pacemaker was performed during the COVID-19 pandemic. The described case demonstrated the safety and effectiveness of CIED remote programming based on the 5G cloud technology support platform (5G-CTP), and showed that the application of real-time remote programming would help in reducing the risk of cross-infection between doctors and patients.


Subject(s)
COVID-19 , Pacemaker, Artificial , Humans , Pandemics
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