Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/13975
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorGuyatt, Gordon Hen_US
dc.contributor.advisorWalter, Stephenen_US
dc.contributor.advisorRoss, Heather Jen_US
dc.contributor.authorAlba, Ana C.en_US
dc.date.accessioned2014-06-18T17:05:47Z-
dc.date.available2014-06-18T17:05:47Z-
dc.date.created2014-02-24en_US
dc.date.issued2014-04en_US
dc.identifier.otheropendissertations/8807en_US
dc.identifier.other9883en_US
dc.identifier.other5192528en_US
dc.identifier.urihttp://hdl.handle.net/11375/13975-
dc.description.abstract<p><strong>Background:</strong> Heart failure (HF) constitutes an important growing medical and economic problem with high prevalence and mortality. Prognosis assessment remains a challenge because of the dynamic nature of HF and the existence of some unexplained variation in outcomes. Our objective was to refine the process of prognostic assessment in current HF patients.</p> <p><strong>Methods:</strong> We conducted a systematic review to identify existing risk prediction models in ambulatory HF patients, a meta-analysis to identify mortality predictors in HF patients treated with an implantable cardioverter defibrillator (ICD), a retrospective cohort study to validate a new model, the HF Meta-Score, derived from the results of the meta-analysis and a cross-sectional and prospective cohort study to evaluate whether circulating progenitor cells (CPCs) are associated with functional capacity and mortality in ambulatory HF patients.</p> <p><strong>Results:</strong> We identified 20 risk prediction models in ambulatory HF patients; only five were externally validated showing limited discrimination and calibration. The two most validated models were derived from HF cohorts from the 1990s and reported limited performance in ICD patients. In a meta-analysis, we identified that age, baseline renal function, history of heart failure, chronic obstructive pulmonary disease, diabetes, peripheral vascular disease, left ventricular ejection fraction, NYHA class, atrial fibrillation, wide QRS and the occurrence of appropriate or inappropriate ICD shocks were independent mortality predictors. Some of these predictors were omitted in previously identified models. From the results of the meta-analysis, we developed the HF Meta-Score that showed better performance that an existing model. We observed that CPCs were independently associated with functional capacity and outcomes in ambulatory HF patients.</p> <p><strong>Conclusions:</strong> These results open many pathways to further refine the prognostic assessment in ambulatory HF patients. The HF Meta-Score is a promising score. The clinical utility of the HF Meta-Score and of the incorporation of new predictive factors, such as CPCs, needs to be tested.</p>en_US
dc.subjectHeart failureen_US
dc.subjectprognosisen_US
dc.subjectsurvivalen_US
dc.subjectcirculating progenitor cellsen_US
dc.subjectimplantable cardioverter defibrillatoren_US
dc.subjectCardiologyen_US
dc.subjectCardiovascular Diseasesen_US
dc.subjectCardiologyen_US
dc.titlePrognosis in current heart failure patientsen_US
dc.typethesisen_US
dc.contributor.departmentClinical Epidemiology/Clinical Epidemiology & Biostatisticsen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File SizeFormat 
fulltext.pdf
Open Access
5.27 MBAdobe PDFView/Open
Show simple item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue