Continuous long-term heart rate variability and risk assessment in pulmonary hypertension

Author:

Andersen Mads ØrbækORCID,Diederichsen Soren Zöga,Svendsen Jesper Hastrup,Carlsen Jørn

Abstract

ObjectiveCurrent multimodal risk assessment for pulmonary hypertension (PH) has been redefined with a simplified assessment for follow-up in the new European Society of Cardiology/European Respiratory Society (ESC/ERS) guidelines. Follow-up risk assessment parameters include WHO functional class, 6 min walk test and N-terminal pro-brain natriuretic peptide. Although these parameters have prognostic implications assessment reflect data relating to specific time points.MethodsPatients diagnosed with PH received an implantable loop recorder (ILR) to monitor daytime and night-time heart rate (HR), HR variability (HRV) and daily physical activity. Associations between the ILR measurements and established risk parameters were analysed using correlations, linear mixed models as well as logistical mixed models for addressing the ESC/ERS risk-score.Results41 patients (median age: 56 years, range: 44–61.5 years) were included. Continuous monitoring had a median duration of 755 days (range: 343–1138 days), totalling 96 patient-years. In the linear mixed models, HRV and physical activity indexed by daytime HR (PAiHR) were significantly associated with the ERS/ERC risk parameters. In a logistical mixed model, HRV revealed a significant difference between 1-year mortality (<5% vs >5%) (p=0.027) with an OR of 0.82 for being in the group with 1-year mortality >5% for every increase by one HRV unit.ConclusionsRisk assessment in PH can be refined with continuous monitoring of HRV and PAiHR. These markers were associated with the ESC/ERC parameters. Our study with continuous risk stratification in PH demonstrated that a lower HRV predict worse prognosis.

Funder

Janssen-Cilag

Heart Centre Research Council of Rigshospitalet

Publisher

BMJ

Subject

Cardiology and Cardiovascular Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lightweight Time-Domain HRV Index Extraction from Compressive ECG Measurements for Resource Constrained Edge Health Computing Devices;2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA);2023-10-17

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