Literature DB >> 29016777

Long-term impact of intrathoracic impedance findings on survival and heart failure hospitalizations after cardiac resynchronization therapy in ICD Registry patients.

Jason R Brown1,2, Alvaro Alonso3, Eduardo N Warman1, Kenneth C Bilchick4.   

Abstract

Aims: To determine adjusted associations among OptiVol® threshold crossings, long-term survival, and hospitalizations among heart failure (HF) patients with Medicare coverage in the United States. Methods and results: A cohort with OptiVol®-enabled cardiac resynchronization therapy defibrillators (CRT-D) devices from the Implantable Cardioverter Defibrillator Registry was linked to both Medicare claims/summary data and Medtronic's CareLink® Network data. An extended multivariable Cox model was used to analyse associations among OptiVol® threshold crossings (treated as time-dependent covariates), mortality, and HF-related hospitalizations (HFH). We analysed N = 1565 patients with OptiVol®-enabled CRT-D devices (mean age 72.8, 28% women). The median follow-up was 6.3 years. Patients with >15.1% of days above OptiVol® threshold (highest quartile) had more than a 4-fold increase in mortality [hazard ratio (HR) 4.2, 95% confidence interval (CI): 3.3-5.3] and more than a 3-fold increase in HFH (HR 3.2, 95% CI: 2.4-4.2) compared with patients having <4.1% of days above threshold (lowest quartile) after adjustment for key covariates. In addition, a single OptiVol® crossing was associated with significantly increased rates of both mortality (HR 1.87, 95% CI: 1.27-2.75) and HFH (HR 1.70, 95% CI: 1.28-2.27).
Conclusion: In a CRT-D cohort with over 6 years of follow-up, both single OptiVol® crossings and time above OptiVol® threshold were associated with increased rates of mortality and hospitalization, which has important implications for clinical care. This is the first study integrating device data with Medicare outcomes to validate the long-term significance of OptiVol® findings.

Entities:  

Mesh:

Year:  2018        PMID: 29016777      PMCID: PMC6041970          DOI: 10.1093/europace/eux197

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  16 in total

Review 1.  Time-dependent covariates in the Cox proportional-hazards regression model.

Authors:  L D Fisher; D Y Lin
Journal:  Annu Rev Public Health       Date:  1999       Impact factor: 21.981

2.  Graphing survival curve estimates for time-dependent covariates.

Authors:  Lonni R Schultz; Edward L Peterson; Naomi Breslau
Journal:  Int J Methods Psychiatr Res       Date:  2002       Impact factor: 4.035

Review 3.  Implantable sensors for heart failure.

Authors:  Faisal M Merchant; G William Dec; Jagmeet P Singh
Journal:  Circ Arrhythm Electrophysiol       Date:  2010-12

4.  Intrathoracic impedance monitoring to predict decompensated heart failure.

Authors:  Claudia Ypenburg; Jeroen J Bax; Ernst E van der Wall; Martin J Schalij; Lieselot van Erven
Journal:  Am J Cardiol       Date:  2007-01-02       Impact factor: 2.778

5.  Bundle-branch block morphology and other predictors of outcome after cardiac resynchronization therapy in Medicare patients.

Authors:  Kenneth C Bilchick; Sandeep Kamath; John P DiMarco; George J Stukenborg
Journal:  Circulation       Date:  2010-11-01       Impact factor: 29.690

6.  Intrathoracic impedance vs daily weight monitoring for predicting worsening heart failure events: results of the Fluid Accumulation Status Trial (FAST).

Authors:  William T Abraham; Steven Compton; Garrie Haas; Blair Foreman; Robert C Canby; Robert Fishel; Scott McRae; Gloria B Toledo; Shantanu Sarkar; Douglas A Hettrick
Journal:  Congest Heart Fail       Date:  2011-03-21

7.  Sensitivity and positive predictive value of implantable intrathoracic impedance monitoring as a predictor of heart failure hospitalizations: the SENSE-HF trial.

Authors:  Viviane M Conraads; Luigi Tavazzi; Massimo Santini; Fabrizio Oliva; Bart Gerritse; Cheuk-Man Yu; Martin R Cowie
Journal:  Eur Heart J       Date:  2011-02-28       Impact factor: 29.983

8.  Intrathoracic impedance monitoring in patients with heart failure: correlation with fluid status and feasibility of early warning preceding hospitalization.

Authors:  Cheuk-Man Yu; Li Wang; Elaine Chau; Raymond Hon-Wah Chan; Shun-Ling Kong; Man-Oi Tang; Jill Christensen; Robert W Stadler; Chu-Pak Lau
Journal:  Circulation       Date:  2005-08-01       Impact factor: 29.690

9.  A non-parametric graphical representation of the relationship between survival and the occurrence of an event: application to responder versus non-responder bias.

Authors:  R Simon; R W Makuch
Journal:  Stat Med       Date:  1984 Jan-Mar       Impact factor: 2.373

10.  Threshold crossing of device-based intrathoracic impedance trends identifies relatively increased mortality risk.

Authors:  Wai Hong Wilson Tang; Eduardo N Warman; James W Johnson; Roy S Small; James Thomas Heywood
Journal:  Eur Heart J       Date:  2012-06-07       Impact factor: 29.983

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.