Publication

Optimizing clinical risk stratification in acute heart failure

Demissei, B. G., 2017, [Groningen]: University of Groningen. 296 p.

Research output: ThesisThesis fully internal (DIV)

Copy link to clipboard

Documents

  • Title and contents

    Final publisher's version, 780 KB, PDF document

  • Chapter 1

    Final publisher's version, 742 KB, PDF document

  • Chapter 2

    Final publisher's version, 1.07 MB, PDF document

  • Chapter 3

    Final publisher's version, 3.23 MB, PDF document

  • Chapter 4

    Final publisher's version, 1.62 MB, PDF document

  • Chapter 5

    Final publisher's version, 0.98 MB, PDF document

  • Chapter 6

    Final publisher's version, 870 KB, PDF document

  • Chapter 7

    Final publisher's version, 927 KB, PDF document

  • General discussion

    Final publisher's version, 820 KB, PDF document

  • Appendices

    Final publisher's version, 857 KB, PDF document

  • Complete thesis

    Final publisher's version, 5.39 MB, PDF document

  • Propositions

    Final publisher's version, 82.9 KB, PDF document

  • Biniyam Gemechu Demissei
Heart failure occurs when the heart is unable to pump sufficiently to maintain blood flow to meet the body's needs. Acute heart failure is defined as a rapid onset of signs and symptoms of heart failure resulting in the need for urgent medical treatment. Acute heart failure is associated with survival poorer than many forms of cancer and is an enormous burden to health care systems mainly related to the high rate of readmissions. Identification of patients who do well after hospitalization and those who have high risk for death or hospital readmission is paramount to personalize treatment and intensity of post-discharge monitoring. However, contemporary instruments used to stratify patients into different risk categories are inadequate and there remains an unmet need for improved risk stratification tools.
In this thesis, Dr. Demissei has provided important tools to improve the prediction of patients that have high risk of poor clinical outcome. His thesis showed that multiple markers, instead of using single markers, improved the accuracy of prediction of major future problems. His research also showed that more accurate risk stratification instruments could help to improve the identification of subgroups of patients who do/do not benefit from a specific drug treatment. This is a first step towards personalized medicine, where only patients that benefit will receive the drug. Future research is needed to study whether risk-guided treatment and monitoring strategies improve survival and reduce the huge burden of hospital readmissions in acute heart failure patients.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
Award date9-Jan-2017
Place of Publication[Groningen]
Publisher
Print ISBNs978-90-367-9370-4
Electronic ISBNs978-90-367-9369-8
Publication statusPublished - 2017

Download statistics

No data available

ID: 38594555