Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Analysis of racial differences in ICD shock burden using Cox proportional hazards regression

Johnson, Matthew (2016) Analysis of racial differences in ICD shock burden using Cox proportional hazards regression. Master's Thesis, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Submitted Version

Download (449kB)

Abstract

Background/Research Aims: Sudden cardiac arrest (SCA) and sudden cardiac death (SCD) are major public health issues that most often result in death and affect a significant number of adults. Implantable cardiac defibrillators (ICDs) are an important tool used in SCA/SCD prevention. Racial differences with respect to ICD firings have not been very well explored with only limited previous research on the topic. This study seeks to analyze a large dataset of patients with defibrillators by race and also build a risk model for ICD shock using Cox proportional hazards regression.
Methods: Using data from the GRADE study, N= 1770 patients (1449 Whites and 321 African Americans) were initially compared by race for almost 80 baseline variables. N= 1524 patients (1275 Whites and 249 African Americans) had information on ICD shocks and were compared by race via Kaplan-Meier survival curves. A Cox proportional hazard regression analysis was performed to produce hazard ratios and evaluate each baseline characteristic with respect to defibrillator shock over time individually, followed by a multivariable model building process to examine race in the context of other significant covariates. Missing data was also examined in the terms comprising the final model and multiple imputations were performed for any variables deemed to have excessive missingness.
Results: Overall, African Americans were younger, had more nonischemic cardiomyopathy, had a higher prevalence of hypertension, smoked more, and had a lower ejection fraction than whites in the study. In comparing Kaplan-Meier survival curves, African Americans had a higher burden of shocks over time than whites by the end of the 5 year time period (p<0.01). Over 20 variables were individually related to shock at 60 months in a Cox regression setting (including race). The final multivariable model consisted of seven terms: race (not statistically significant but forced into the model), ejection fraction, history of NSVT, antiarrhythmic medication, diagnosis, age, and BUN. One variable was found to have excessive missingness (BUN) and after performing multiple imputations, results were overall similar in the second analysis except race became statistically significant (p= 0.04, HR= 1.385) while BUN went from statistically significant to not.
Conclusions: The public health impact of this study is in trying to build on the limited previous research and paint a more complete portrait of the relationship between race and appropriate defibrillator firings. After accounting for data missingness, race was found to be statistically significant in its relationship to ICD shock over time when adjusting for several additional covariates in the final multivariable model.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Johnson, MatthewMPJ14@pitt.eduMPJ14
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairBuchanich, Jeaninejeanine@pitt.edu
Committee MemberHalder, Indraniizh100@gmail.com
Committee MemberYouk, Adaayouk@pitt.edu
Date: 9 September 2016
Date Type: Publication
Defense Date: 2 June 2016
Approval Date: 9 September 2016
Submission Date: 26 May 2016
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 48
Institution: University of Pittsburgh
Schools and Programs: Graduate School of Public Health > Biostatistics
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: ICD, defibrillator, race, Cox
Date Deposited: 09 Sep 2016 17:33
Last Modified: 01 Jul 2018 05:15
URI: http://d-scholarship.pitt.edu/id/eprint/28090

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item