Literature DB >> 26740575

Probability of atrial fibrillation after ablation: Using a parametric nonlinear temporal decomposition mixed effects model.

Jeevanantham Rajeswaran1, Eugene H Blackstone1, John Ehrlinger1, Liang Li2, Hemant Ishwaran3, Michael K Parides4.   

Abstract

Atrial fibrillation is an arrhythmic disorder where the electrical signals of the heart become irregular. The probability of atrial fibrillation (binary response) is often time varying in a structured fashion, as is the influence of associated risk factors. A generalized nonlinear mixed effects model is presented to estimate the time-related probability of atrial fibrillation using a temporal decomposition approach to reveal the pattern of the probability of atrial fibrillation and their determinants. This methodology generalizes to patient-specific analysis of longitudinal binary data with possibly time-varying effects of covariates and with different patient-specific random effects influencing different temporal phases. The motivation and application of this model is illustrated using longitudinally measured atrial fibrillation data obtained through weekly trans-telephonic monitoring from an NIH sponsored clinical trial being conducted by the Cardiothoracic Surgery Clinical Trials Network.

Entities:  

Keywords:  Binary longitudinal response; mixed effects model; multiphase model; nonlinear model; temporal decomposition; time varying coefficient

Mesh:

Year:  2016        PMID: 26740575      PMCID: PMC5633490          DOI: 10.1177/0962280215623583

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  13 in total

1.  Population HIV-1 dynamics in vivo: applicable models and inferential tools for virological data from AIDS clinical trials.

Authors:  H Wu; A A Ding
Journal:  Biometrics       Date:  1999-06       Impact factor: 2.571

2.  Comparing linear and nonlinear mixed model approaches to cosinor analysis.

Authors:  Susan K Mikulich; Gary O Zerbe; Richard H Jones; Thomas J Crowley
Journal:  Stat Med       Date:  2003-10-30       Impact factor: 2.373

3.  Non-linear models for the analysis of longitudinal data.

Authors:  E F Vonesh
Journal:  Stat Med       Date:  1992 Oct-Nov       Impact factor: 2.373

Review 4.  Choice of surgical lesion set: answers from the data.

Authors:  A Marc Gillinov
Journal:  Ann Thorac Surg       Date:  2007-11       Impact factor: 4.330

5.  Designing comparative effectiveness trials of surgical ablation for atrial fibrillation: experience of the Cardiothoracic Surgical Trials Network.

Authors:  A Marc Gillinov; Michael Argenziano; Eugene H Blackstone; Alexander Iribarne; Joseph J DeRose; Gorav Ailawadi; Mark J Russo; Deborah D Ascheim; Michael K Parides; Evelio Rodriguez; Denis Bouchard; Wendy C Taddei-Peters; Nancy L Geller; Michael A Acker; Annetine C Gelijns
Journal:  J Thorac Cardiovasc Surg       Date:  2011-05-25       Impact factor: 5.209

6.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

7.  Surgery for permanent atrial fibrillation: impact of patient factors and lesion set.

Authors:  A Marc Gillinov; Sekar Bhavani; Eugene H Blackstone; Jeevanantham Rajeswaran; Lars G Svensson; Jose L Navia; B Gösta Pettersson; Joseph F Sabik; Nicholas G Smedira; Tomislav Mihaljevic; Patrick M McCarthy; Jeanne Shewchik; Andrea Natale
Journal:  Ann Thorac Surg       Date:  2006-08       Impact factor: 4.330

8.  Spirometry after transplantation: how much better are two lungs than one?

Authors:  David P Mason; Jeevanantham Rajeswaran; Sudish C Murthy; Ann M McNeill; Marie M Budev; Atul C Mehta; Gösta B Pettersson; Eugene H Blackstone
Journal:  Ann Thorac Surg       Date:  2008-04       Impact factor: 4.330

9.  The natural history of lung function after lung transplantation for α(1)-antitrypsin deficiency.

Authors:  Amit Banga; Thomas Gildea; Jeevanantham Rajeswaran; Haala Rokadia; Eugene H Blackstone; James K Stoller
Journal:  Am J Respir Crit Care Med       Date:  2014-08-01       Impact factor: 21.405

10.  A multiphase non-linear mixed effects model: An application to spirometry after lung transplantation.

Authors:  Jeevanantham Rajeswaran; Eugene H Blackstone
Journal:  Stat Methods Med Res       Date:  2016-07-11       Impact factor: 3.021

View more
  2 in total

1.  Biatrial maze procedure versus pulmonary vein isolation for atrial fibrillation during mitral valve surgery: New analytical approaches and end points.

Authors:  Eugene H Blackstone; Helena L Chang; Jeevanantham Rajeswaran; Michael K Parides; Hemant Ishwaran; Liang Li; John Ehrlinger; Annetine C Gelijns; Alan J Moskowitz; Michael Argenziano; Joseph J DeRose; Jean-Phillipe Couderc; Dan Balda; François Dagenais; Michael J Mack; Gorav Ailawadi; Peter K Smith; Michael A Acker; Patrick T O'Gara; A Marc Gillinov
Journal:  J Thorac Cardiovasc Surg       Date:  2018-07-27       Impact factor: 5.209

2.  Temporal trend and associated risk factors for new-onset atrial fibrillation following cardiac valve surgery.

Authors:  Abhinav Sood; Andrew Toth; Mouin Abdallah; Marc Gillinov; Desai Milind; Klein Allan; Kanj Mohamed; David Majdalany
Journal:  J Atr Fibrillation       Date:  2020-04-30
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.